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Cell and Gene Therapy Supply Chain Software Market: Industry Trends and Global Forecasts, Till 2035: Distribution by Process Component, Type of Software, Mode of Deployment, Scale of Operation, Type of End-user and Key Geographical Regions

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    Report

  • 378 Pages
  • April 2024
  • Region: Global
  • Roots Analysis
  • ID: 5954167

Featuring Profiles of Azenta Life Sciences, NMDP BioTherapies, Biocair, BioLife Solutions, CareDx, Cryoport, Lonza, TraceLink, TrakCel, and Veeva Systems

The global cell and gene therapy (CGT) supply chain software market is projected to grow from $274 million in 2024 to $1,329 million by 2035, representing a CAGR of 15.2%, during the forecast period 2024-2035. This research study consists of industry trends, detailed cell and gene therapy supply chain software market analysis, funding and investment trends, partnerships and collaborations analysis, platform utilization trends, stakeholder needs analysis and market impact analysis. The report includes cell and gene therapy supply chain software market forecast and opportunity analysis.

Advanced therapies, including cell and gene therapy products, have revolutionized healthcare practices. The introduction of such therapeutic options has led to a paradigm shift in the development, production, and consumption of modern medicine. Moreover, such therapies have enabled healthcare providers to treat several rare clinical conditions. In the last few decades, more than 30 such therapeutic modalities have been approved; recent approvals include ELEVIDYS® (2023), Adstiladrin® (2022), Breyanzi® (2022), CARVYKTI® (2022), Abecma® (2021), Allocord™ (2019), LUXTURNA™ (2017) and Yescarta® (2017).

Further, according to a report published by Novotech, it was anticipated that more than 12 novel cell and gene therapies would be approved by the end of 2023, highlighting lucrative opportunities for stakeholders in this market. Moreover, post-2018, over 40% of the clinical trials registered for the treatment of rare diseases involved the evaluation of novel cell and gene therapy products. It is worth highlighting that, based on an assessment of the current pipeline of cell and gene therapy and the historical clinical success of such products, it is assumed that around 10-20 advanced therapies would get approved by the United States Food and Drug Administration, each year, till 2025. Owing to the increase in the number of approved therapies, the demand for novel software solutions to manage the supply chain is also expected to rise, providing subsequent growth opportunities for cell and gene therapy software providers.

It is important to note that the commercial success of cell and gene therapy products depends not only on their ability to provide the desired therapeutic benefits but also on developers' capacity to efficiently meet all supply chain needs. The cell and gene therapy supply chain is relatively more complex compared to the conventional pharmaceutical supply chain owing to the temperature sensitivity and uniqueness of such products. As a result, there are a number of risks in terms of process inconsistency, including possible operational inefficiencies, capacity scheduling concerns, process delays leading to capital loss, and delivery / tracking-related issues, which needs to be taken care by therapy developers.

This has generated a need for bespoke software solutions, which can be integrated into existing processes and enable the drug developers to oversee and manage the various aspects of the cell and gene therapy supply chain at each step. Over the years, several innovative software solutions, offering supply chain orchestration and needle-to-needle traceability, have been developed. The market has also witnessed an increase in the number of partnerships inked for the advancement of such software solutions. Further, given the growing demand for cost-effective personalized medicinal products, and the cost saving potential of implementing such software solutions, the cell and gene therapy supply chain software market is poised to grow significantly in the foreseen future.

Cell and Gene Therapy Supply Chain Software Market Share Insights

The cell and gene therapy supply chain software market research report presents an in-depth analysis of various software solutions that are involved in managing cell and gene therapies supply chain, across different segments, as defined below:

  • Historical Trend: 2018-2023
  • Base Year: 2023
  • Forecast Period    2024-2035
  • Market Size 2024: $274 Million
  • Market Size 2035: $1,329 Million
  • Growth Rate: CAGR of 15% from 2024 to 2035
  • PowerPoint Presentation (Complimentary)
  • Customization scope: 15% Free Customization
  • Process Component
    • Sample Collection and Processing Component
    • Manufacturing Component
    • Logistics Component
    • Patient Identification and Treatment Follow-up Component
  • Type of Software
    • Enterprise Manufacturing System (EMS)
    • Laboratory Information Management System (LIMS)
    • Inventory Management System (IMS)
    • Cell Orchestration Platform (COP)
    • Quality Management System (QMS)
    • Logistics Management System (LMS)
    • Patient Management System (PMS)
  • Mode of Deployment
    • On-premises Deployment
    • Cloud-based Deployment
  • Type of End-user
    • Pharmaceutical Companies
    • Cell Therapy Labs
    • Hospitals / Medical Centers
    • Research Institutes / Biobanks
  • Scale of Operation
    • Clinical Scale
    • Commercial Scale
  • Geography
    • North America
    • Europe
    • Asia-Pacific
    • Rest of the World
  • Key Companies Profiled
    • Azenta Life Sciences
    • Biocair
    • BioLife Solutions
    • CareDx
    • Cryoport
    • Lonza
    • NMDP BioTherapies
    • TraceLink
    • TrakCel
    • Veeva Systems
    • Emerson
    • LabVantage Solutions
    • Marken
    • MasterControl
    • QuickSTAT
    • Siemens
    • Stafa Cellular Therapy
    • Steiner
    • STEMSOFT Software
    • TECHNIDATA
    • Thermo Fisher Scientific
  • Excel Data Packs (Complimentary):
    • Market Landscape Analysis
    • Company Competitiveness Analysis
    • Funding and Investment Analysis
    • Partnership and Collaborations Analysis
    • Platform Utilization Cases Analysis
    • Market Size an Opportunity Analysis

Cell and Gene Therapy Supply Chain Software Market Key Segments

Market Share by Process Component

The global cell and gene therapy supply chain software market is segmented into different process components, such as sample collection and processing component, manufacturing component, logistics component, and patient identification and treatment follow-up component. The manufacturing component occupies the highest share in 2024 and is expected to remain dominant during the forecast period. This can be attributed to the high adoption of supply chain software solutions in manufacturing processes to streamline the overall therapy development and deliver quality products.

Market Share by Type of Software

This segment highlights the distribution of the cell and gene therapy supply chain software market across different types of software solutions, such as EMS, LIMS, IMS, COP, QMS, LMS and PMS. Owing to the fact that there is a high demand for supply chain management solutions to meet production and quality requirements, the enterprise manufacturing system (EMS) market holds the largest market share in 2024. However, cell orchestration platforms (COP) are easier to deploy and have witnessed an increased adoption among pre-clinical drug developers, following which, these novel software platforms are expected to grow at a relatively higher rate.

Market Share by Mode of Deployment

The global cell and gene therapy supply chain management software industry highlights the distribution of software solutions based on mode of deployment, such as on-premises deployment and cloud-based deployment. It is worth highlighting that the market share for cloud-based software is likely to grow at a higher CAGR in the coming years as compared to the software solutions which are deployed on-premises.

Market Share by Scale of Operation

The global cell and gene therapy supply chain software market features different software solutions which can be used to manage operations at clinical and commercial scales. It is worth highlighting that software solutions employed for managing clinical operations are likely to grow at a higher CAGR in the coming years as compared to the software solutions which are used to manage commercial scale supply chain.

Market Share by Type of End-User

The global cell and gene therapy supply chain software market caters to a variety of end-users, including pharmaceutical companies, cell therapy labs, hospitals / medical centres and research institutes / biobanks. Pharmaceutical companies capture the highest share in 2024 and are expected to dominate the market during the forecast period. This can be attributed to the high adoption of supply chain software solutions by pharmaceutical companies to orchestrate different processes of therapy development, including sample collection, processing and shipment.

Market Share by Geography

This segment highlights the distribution of the cell and gene therapy supply chain software market across various geographies, such as North America, Europe, and Asia-Pacific and rest of the world. According to the projections, North America captures the majority share (54%) of the market opportunity, and this trend is unlikely to change during the forecast period. It is worth highlighting that the CGT supply chain software market in Asia-Pacific is expected to grow at a relatively higher CAGR (20%), during the forecast period, 2024-2035.

Cell and Gene Therapy Supply Chain Software Market Key Insights

The report features an extensive study of the current market landscape, market size and future opportunities associated with software providers within the cell and gene therapy supply chain software industry, during the given forecast period. The market report highlights the efforts of several stakeholders engaged in this rapidly emerging segment of the software providers industry. Key takeaways of the peptide synthesis market report are briefly discussed below.

Advantages of Using Supply Chain Software for Cell and Gene Therapies

The software providers engaged in the cell and gene therapy supply chain software market have a well-established product portfolio and skilled professionals having technical expertise related to different software platforms. The software solutions provided by these companies follow stringent regulatory guidelines in order to ensure the data integrity and confidentiality of the samples used for cell and gene therapy development. Additionally, the supply chain software solutions assist in providing regulatory compliance for various processes, such as sample collection, sample processing and shipment activities.

Further, one of the primary benefits of using CGT supply chain software is its cost-saving potential. Companies integrating these software solutions can curb the costs associated with improper manual data handling at different stages of the supply chain. Moreover, companies engaged in the cell and gene therapy supply chain software market have specialized teams to provide services to multiple consumers; additionally, these software solutions assist in cold chain logistics management of raw materials procured by the end-user from the donor itself.

Competitive Landscape of Software Solutions in the Cell and Gene Therapy Supply Chain Software Market

The current market landscape features the presence of close to 175 supply chain software solutions, to manage a variety of steps in the cell and gene therapy development; these software solutions include EMS, LIMS, IMS, COP, QMS, LMS and PMS. Further, these software solutions offer a variety of applications, including regulatory compliance, sample inventory management, workflow management, ordering and scheduling, logistics management, manufacturing management, and patient engagement. Moreover, CGT supply chain software solutions can also be used to maintain the chain of identity and custody throughout the cell therapy cycle in order to provide an end-to-end traceability of the samples.

It is interesting to highlight that close to 100 companies are engaged in providing such software solutions. In order to meet the increasing demand for CGT supply chain software, these companies have undertaken several initiatives, such as entering into strategic collaborations, and expanding their existing capabilities / product portfolios.

Cell and Gene Therapy Supply Chain Software Market Trends: Increasing Partnerships and Collaborations Amongst the Software Providers to Foster Progress and Innovation

Software providers in the cell and gene therapy supply chain software market have forged several partnerships with other companies in order to enhance their product portfolios. It is worth highlighting that a significant increase in partnership activity has been witnessed in 2023. This can be attributed to the incessant efforts of software providers to further advance the development of their software solutions for cell and gene therapy supply chain. Notably, the majority of the deals were focused on acquiring other companies engaged in the CGT supply chain software market, followed by platform utilization agreements and service alliances.

In December 2023, LabWare entered into a platform integration agreement with Körber to integrate the former company’s LIMS platform with Körber’s proprietary manufacturing execution system. Such partnerships are expected to drive growth of the cell and gene therapy supply chain software market during the forecast period.

Key Drivers of the Cell and Gene Therapy Supply Chain Software Market

Cell and Gene Therapy Supply Chain Software Market Size: Cell Orchestration Platforms to Drive Market Growth

The global market opportunity for cell and gene therapy supply chain software providers is estimated to be USD 243 million in 2024, driven by the rapidly increasing demand for personalized medicine. In terms of type of software, the market for cell orchestration platforms (COP) in the cell and gene therapy supply chain software market is anticipated to grow at relatively higher CAGR of 18.1%, during the forecast period, 2024-2035. The market growth is primarily fueled by increasing popularity of COPs, owing to their proven ease of deployment and capability to provide needle-to-needle traceability withing the cell and gene therapy supply chain.

North America Holds the Largest Share of the Cell and Gene Therapy Supply Chain Software Market

Presently, close to 55% of the cell and gene therapy supply chain software market opportunity is created by the demand for personalized medicines in North America. This can be attributed to the increasing R&D investments, partnership activity and funding received by various therapy developers for the development of novel cell and gene therapies. Further, the market for these software solutions in Asia-Pacific is expected to grow at a relatively higher CAGR of 20.2%, during the forecast period.

Leading Software Providers in the Cell and Gene Therapy Supply Chain Software Market

Examples of key software providers involved in the cell and gene therapy supply chain software industry (which have also been captured in this market report, arranged in alphabetical order) include Azenta Life Sciences, NMDP BioTherapies, Biocair, BioLife Solutions, CareDx, Cryoport, Lonza, TraceLink, TrakCel, Veeva Systems. This market report includes an easily searchable excel database .for all the companies offering software solutions for cell and gene therapy along with information on their proprietary software solutions offered to orchestrate the overall processes.

Recent Developments in the Cell and Gene Therapy Supply Chain Software Market

Several recent developments have taken place in the market, some of which have been outlined below. These developments even though they took place post the release of the cell and gene therapy supply chain software market report, substantiate the overall market trends that the analyst has outlined in the analyses.

  • In January 2024, Veeva Systems entered into a partnership with SK Biopharmaceuticals to utilize the former company’s proprietary quality management system and reduce potential risks associated with quality compliance of regenerative medicine.
  • In December 2023, Hypertrust entered into a joint venture with Tamer Health to build a robust infrastructure for the advancement of personalized therapies, primarily focusing on cell and gene therapies.
  • In November 2023, BioLife Solutions raised USD 10.4 million through a private placement, which the company plans to utilize for advancing its supply chain offerings for cell and gene therapies.

Cell and Gene Therapy Supply Chain Software Market Report Coverage

The market report presents an in-depth analysis, highlighting the capabilities of various software providers in this market, across different segments. Amongst other elements, the market report includes:

  • A preface providing an introduction to the full report, Cell and Gene Therapy Supply Chain Software Market (2nd edition), 2018-2023 (Historical Trends) and 2024-2035 (Forecasted Estimates).
  • An outline of the systematic research methodology adopted to conduct the study on cell and gene therapy supply chain software industry, providing insights on the various assumptions, methodologies, and quality control measures employed to ensure accuracy and reliability of the findings.
  • An overview of economic factors that impact the overall cell and gene therapy supply chain software market, including historical trends, currency fluctuation, foreign exchange impact, recession, and inflation measurement.
  • An executive summary of the insights captured during the research. It offers a high-level view on the current state of software solutions for cell and gene therapy supply chain and its likely evolution in the mid-long term.
  • A general overview of cell and gene therapy supply chain, highlighting details on different types of software solutions with their key features and applications. It also features various advantages of supply chain software in the cell and gene therapy industry. Further, it provides information on the different challenges related to conventional supply chain, along with the opportunities and future perspectives associated with supply chain management software.
  • A detailed overview of the current market landscape of software solutions in the cell and gene therapy supply chain software market, along with information on several relevant parameters, such as type of software (cell orchestration platform (COP), enterprise manufacturing system (EMS), inventory management system (IMS), laboratory information management system (LIMS), logistics management system (LMS), patient management system (PMS), quality management system (QMS) and tracking and tracing system (TTS)), key features (compatibility and integration, traceability, data analytics and visualization, scalability, user-friendliness and chain of identity and custody), application area (regulatory compliance, sample inventory management, workflow management, ordering and scheduling, logistics management, manufacturing management and patient engagement), mode of deployment (on-premise / web-based, cloud or both), scale of operation (pre-clinical, clinical and commercial), regulatory guidelines followed (Code of Federal Regulations (21 CFR Part 11), Good Manufacturing Practices (GMP), International Organization for Standardization (ISO), Health Insurance Portability and Accountability Act (HIPAA), European Directives (EU Directives), General Data Protection Regulation (GDPR), The Foundation for the Accreditation of Cellular Therapy and the Joint Accreditation Committee - ISCT and EBMT (FACT-JACIE), Clinical Laboratory Improvement Amendments (CLIA) and Good Automated Manufacturing Practice (GAMP5)) and type of end-user (pharmaceutical companies, cell therapy labs, hospitals / medical centers, research institutes and biobanks). In addition, this section provides a detailed list of developers providing cell and gene therapy supply chain software solutions, along with analysis based on various parameters, such as year of establishment, company size (in terms of employee count) and location of headquarters (North America, Europe, Asia-Pacific, and rest of the world). Further, this section also presents most active players based on the number of software solutions offered.
  • An insightful competitiveness analysis of companies offering software solutions in the cell and gene therapy supply chain software industry, based on several relevant parameters, such as developer strength (in terms of number of years of experience of a company in this domain and company size) and product portfolio strength (in terms of number of partnership deals inked, number of application areas, number of key features offered, number of end-users, mode of deployment, scale of operation and number of regulatory guidelines followed).
  • Elaborate profiles of key software providers (shortlisted on the basis of the number of partnership deals inked by a company and the number of software solutions offered) engaged in the cell and gene therapy supply chain software market. Each profile features a brief overview of the cell and gene therapy supply chain software companies, along with information on location of headquarters, year of establishment, number of employees, leadership team, software solutions portfolio, financial information, recent developments, and an informed future outlook.
  • An in-depth analysis of funding and investments in this domain, since 2014, including seed funding, venture capital, debt financing, grants / awards, capital raised from IPOs and subsequent offerings received by companies that are engaged in cell and gene therapy supply chain software market.
  • A detailed analysis of the partnerships inked between various cell and gene therapy supply chain software companies in this market, since 2019, including acquisitions, platform utilization agreements, service alliances, platform integration agreements, product development agreements, service agreements and other agreements.
  • An in-depth analysis of the platform utilization agreements inked in this domain since 2019, providing information on the different types of software utilized by end-users in the cell and gene therapy supply chain.
  • A qualitative assessment of the current and long-term needs of different stakeholders (patients, healthcare providers, collection centers, manufacturers, logistics service providers and regulators / payers) involved in the cell and gene therapy supply chain, featuring a summary of the diverse needs of the stakeholders. This section also highlights the opinion (based on past and prevalent trends) on the impact of these needs on the supply chain and how the industry is preparing to cater to these needs.
  • An in-depth analysis of the factors that can impact the growth of the cell and gene therapy supply chain software market. It also features identification and analysis of key drivers, potential restraints, emerging opportunities, and existing challenges.
  • A detailed estimate of the current market size and the future growth potential of the cell and gene therapy supply chain software market over the next decade. Based on multiple parameters, such as likely adoption trends and through reliable secondary and primary validations, the analyst has provided an informed estimate on the market evolution during the forecast period 2024-2035. The report also features the likely distribution of the current and forecasted opportunity within the cell and gene therapy supply chain software industry. Further, in order to account for future uncertainties and to add robustness to the model, the analyst has provided three forecast scenarios, namely conservative, base, and optimistic scenarios, representing different tracks of the cell and gene therapy supply chain software market growth.
  • Detailed projections of the current and future opportunity for software providers in the cell and gene therapy supply chain software market across various process components, such as sample collection and processing component, manufacturing component, logistics component, and patient identification and treatment follow-up component.
  • Detailed projections of the current and future opportunity for software providers in the cell and gene therapy supply chain software market across various type of software, such as EMS, LIMS, IMS, COP, QMS, LMS and PMS.
  • Detailed projections of the current and future opportunity for software providers in the cell and gene therapy supply chain software market across various modes of deployment, such as on-premise deployment and cloud-based deployment.
  • Detailed projections of the current and future opportunity for software providers in the cell and gene therapy supply chain software market across different scales of operations, such as clinical scale and commercial scale.
  • Detailed projections of the current and future opportunity for software providers in the cell and gene therapy supply chain software market across various type of end-users, such as pharmaceutical companies, cell therapy labs, hospitals / medical centers and research institutes / biobanks.
  • Detailed projections of the current and future opportunity for software providers in the cell and gene therapy supply chain software market across key geographical regions, such as North America, Europe, Asia-Pacific and rest of the world.

One of the key objectives of this market report was to estimate the current market size, opportunity and the future growth potential of the software developers in the cell and gene therapy supply chain software market, over the forecast period. Based on multiple parameters, likely adoption trends and through primary validations, the analyst has provided an informed estimate on the market evolution during the forecast period 2024-2035.

The market report also features the likely distribution of the current and forecasted opportunity for software developers in the market across various segments, such as process component (sample collection and processing component, manufacturing component, logistics component, and patient identification and treatment follow-up component), type of software (EMS, LIMS, IMS, COP, QMS, LMS and PMS), mode of deployment (on-premise deployment and cloud-based deployment), scale of operation (clinical scale and commercial scale), type of end-user (pharmaceutical companies, cell therapy labs, hospitals / medical centers and research institutes / biobanks) and key geographical regions (North America, Europe, Asia-Pacific and rest of the world). In order to account for future uncertainties associated with some of the key parameters and to add robustness to the model, the analyst has provided three cell and gene therapy supply chain software market forecast scenarios, namely conservative, base, and optimistic scenarios, representing different tracks of the industry’s evolution.

The opinions and insights presented in the market report were influenced by discussions held with stakeholders in the industry. The report features detailed transcripts of interviews held with the following industry stakeholders:

  • Former Chief Business Officer, Mid-sized Company, UK
  • Chief Clinical Officer, Mid-sized Company, UK
  • Former Senior Director, Corporate Strategy and Business Development, Very Large Company, US
  • International Sales and Transfusion Manager, Small Company, France
  • Former General Manager, Cell Therapy, Very Large Company, US

Further, all actual figures have been sourced and analyzed from publicly available information forums and primary research discussions. Financial figures mentioned in this market report are in USD, unless otherwise specified.

Key Benefits of Buying this Report

  • The report offers market leaders and newcomers valuable insights into revenue estimations for both the overall market and its sub-segments.
  • Stakeholders can utilize the report to enhance their understanding of the competitive landscape, allowing for improved business positioning and more effective go-to-market strategies.
  • The report provides stakeholders with a pulse on the cell and gene therapy supply chain software market, furnishing them with essential information on significant market drivers, barriers, opportunities, and challenges.

Table of Contents

1. PREFACE
1.1. Introduction
1.2. Market Share Insights
1.3. Key Market Insights
1.4. Report Coverage
1.5. Key Questions Answered
1.6. Chapter Outlines
2. RESEARCH METHODOLOGY
2.1. Chapter Overview
2.2. Research Assumptions
2.3. Project Methodology
2.4. Forecast Methodology
2.5. Robust Quality Control
2.6. Key Market Segmentations
2.7. Key Considerations
2.7.1. Demographics
2.7.2. Economic Factors
2.7.3. Government Regulations
2.7.4. Supply Chain
2.7.5. COVID Impact
2.7.6. Market Access
2.7.7. Healthcare Policies
2.7.8. Industry Consolidation
3. ECONOMIC AND OTHER PROJECT SPECIFIC CONSIDERATIONS
3.1. Chapter Overview
3.2. Market Dynamics
3.2.1. Time Period
3.2.1.1. Historical Trends
3.2.1.2. Current and Future Estimates
3.2.2. Currency Coverage and Foreign Exchange Rate
3.2.2.1. Major Currencies Affecting the Market
3.2.2.2. Factors Affecting Currency Fluctuations and Foreign Exchange Rates
3.2.2.3. Impact of Foreign Exchange Rate Volatility on the Market
3.2.2.4. Strategies for Mitigating Foreign Exchange Risks
3.2.3. Trade Policies
3.2.3.1. Impact of Trade Barriers on the Market
3.2.3.2. Strategies for Mitigating the Risks associated with Trade Barriers
3.2.4. Recession
3.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
3.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
3.2.5. Inflation
3.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
3.2.5.2. Potential Impact of Inflation on the Market Evolution
4. EXECUTIVE SUMMARY
5. INTRODUCTION
5.1. Chapter Overview
5.2. Overview of Cell Therapies
5.3. Advanced Therapy Medicinal Products (ATMPs)
5.3.1. Difference between Cell / Advanced Therapies and Other Biotechnology Products
5.4. Overview of Cell and Gene Therapy Supply Chain
5.4.1. Software Solutions for Cell and Gene Therapy Supply Chain
5.4.1.1. Enterprise Manufacturing System (EMS)
5.4.1.2. Laboratory Information Management System (LIMS)
5.4.1.3. Inventory Management System (IMS)
5.4.1.4. Quality Management System (QMS)
5.4.1.5. Logistics Management System (LMS)
5.4.1.6. Patient Management System (PMS)
5.4.1.7. Cell Orchestration Platform (COP)
5.4.2. Challenges in Cell and Advanced Therapy Supply Chain
5.5. Recent Developments and Future Outlook
6. MARKET LANDSCAPE
6.1. Chapter Overview
6.2. Cell and Gene Therapy Supply Chain Software: Overall Market Landscape
6.2.1. Analysis by Type of Software
6.2.2. Analysis by Key Features
6.2.3. Analysis by Application Area
6.2.4. Analysis by Mode of Deployment
6.2.5. Analysis by Type of Software and Mode of Deployment
6.2.6. Analysis by Scale of Operation
6.2.7. Analysis by Type of Software and Scale of Operation
6.2.8. Analysis by Regulatory Guidelines Followed
6.2.9. Analysis by Type of End-User
6.2.10. Analysis by Type of Software and End-User
6.3. Cell and Gene Therapy Supply Chain Software: Developer Landscape
6.3.1. Analysis by Year of Establishment
6.3.2. Analysis by Company Size
6.3.3. Analysis by Year of Establishment and Company Size
6.3.4. Analysis by Location of Headquarters
6.3.5. Analysis by Number of Software Solutions Offered
6.3.6. Most Active Players: Analysis by Number of Software Solutions Offered
7. COMPANY COMPETITIVENESS ANALYSIS
7.1. Chapter Overview
7.2. Assumptions and Key Parameters
7.3. Methodology
7.4. Company Competitiveness Analysis: Cell and Gene Therapy Supply Chain Software Providers
7.4.1 COP Developers
7.4.2. EMS Developers
7.4.3. IMS Developers
7.4.4. LIMS Developers
7.4.5. LMS Developers
7.4.6. PMS Developers
7.4.7. QMS Developers
7.4.8. TTS Developers
8. COMPANY PROFILES
8.1. Chapter Overview
8.2. Leading Players in Cell and Gene Therapy Supply Chain Software Market
8.2.1. Azenta Life Sciences
8.2.1.1. Company Overview
8.2.1.2. Supply Chain Management Solutions Portfolio
8.2.1.3. Financial Information
8.2.1.4. Recent Developments and Future Outlook
8.2.2. NMDP BioTherapies
8.2.2.1. Company Overview
8.2.2.2. Supply Chain Management Solutions Portfolio
8.2.2.3. Financial Information
8.2.2.4. Recent Developments and Future Outlook
8.2.3. Biocair
8.2.3.1. Company Overview
8.2.3.2. Supply Chain Management Solutions Portfolio
8.2.3.3. Recent Developments and Future Outlook
8.2.4. BioLife Solutions
8.2.4.1. Company Overview
8.2.4.2. Supply Chain Management Solutions Portfolio
8.2.4.3. Financial Information
8.2.4.4. Recent Developments and Future Outlook
8.2.5. CareDx
8.2.5.1. Company Overview
8.2.5.2. Supply Chain Management Solutions Portfolio
8.2.5.3. Financial Information
8.2.5.4. Recent Developments and Future Outlook
8.2.6. Cryoport
8.2.6.1. Company Overview
8.2.6.2. Supply Chain Management Solutions Portfolio
8.2.6.3. Financial Information
8.2.6.4. Recent Developments and Future Outlook
8.2.7. Lonza
8.2.7.1. Company Overview
8.2.7.2. Supply Chain Management Solutions Portfolio
8.2.7.3. Financial Information
8.2.7.3. Recent Developments and Future Outlook
8.2.8. TraceLink
8.2.8.1. Company Overview
8.2.8.2. Supply Chain Management Solutions Portfolio
8.2.8.4. Recent Developments and Future Outlook
8.2.9. TrakCel
8.2.9.1. Company Overview
8.2.9.2. Supply Chain Management Solutions Portfolio
8.2.9.3. Recent Developments and Future Outlook
8.2.10. Veeva Systems
8.2.10.1. Company Overview
8.2.10.2. Supply Chain Management Solutions Portfolio
8.2.10.3. Financial Information
8.2.10.4. Recent Developments and Future Outlook
8.3. Other Leading Players in Cell and Gene Therapy Supply Chain Software Market
8.3.1. Emerson
8.3.1.1. Company Overview
8.3.1.2. Supply Chain Management Solutions Portfolio
8.3.2. LabVantage Solutions
8.3.2.1. Company Overview
8.3.2.2. Supply Chain Management Solutions Portfolio
8.3.3. Marken
8.3.3.1. Company Overview
8.3.3.2. Supply Chain Management Solutions Portfolio
8.3.4. MasterControl
8.3.4.1. Company Overview
8.3.4.2. Supply Chain Management Solutions Portfolio
8.3.5. QuickSTAT
8.3.5.1. Company Overview
8.3.5.2. Supply Chain Management Solutions Portfolio
8.3.6. Siemens
8.3.6.1. Company Overview
8.3.6.2. Supply Chain Management Solutions Portfolio
8.3.7. Stafa Cellular Therapy
8.3.7.1. Company Overview
8.3.7.2. Supply Chain Management Solutions Portfolio
8.3.8. Steiner
8.3.8.1. Company Overview
8.3.8.2. Supply Chain Management Solutions Portfolio
8.3.9. STEMSOFT Software
8.3.9.1. Company Overview
8.3.9.2. Supply Chain Management Solutions Portfolio
8.3.10. TECHNIDATA
8.3.10.1. Company Overview
8.3.10.2. Supply Chain Management Solutions Portfolio
8.3.11. Thermo Fisher Scientific
8.3.11.1. Company Overview
8.3.11.2. Supply Chain Management Solutions Portfolio
9. FUNDING AND INVESTMENT ANALYSIS
9.1. Chapter Overview
9.2. Funding Models
9.3. Cell and Gene Therapy Supply Chain Software: Funding and Investment Analysis
9.3.1. Analysis by Year of Funding
9.3.2. Analysis by Amount Invested
9.3.3. Analysis by Type of Funding
9.3.4. Analysis by Type of Funding and Amount Invested
9.3.5. Analysis of Amount Invested by Year and Type of Funding
9.3.6. Analysis by Geography
9.3.7. Most Active Players: Analysis by Number of Instances
9.3.8. Most Active Players: Analysis by Amount Raised
9.3.9. Key Investors: Analysis by Number of Funding Instances
9.3.10. Analysis by Type of Investor
9.5. Concluding Remarks
10. PARTNERSHIPS AND COLLABORATIONS
10.1. Chapter Overview
10.2. Partnership Models
10.3. Cell and Gene Therapy Supply Chain Software: Partnerships and Collaborations
10.3.1. Analysis by Year of Partnership
10.3.2. Analysis by Type of Partnership
10.3.3. Analysis by Year and Type of Partnership
10.3.4. Analysis by Type of Partnership and Company Size
10.3.5. Analysis by Type of Partner
10.3.6. Analysis by Type of Software Involved
10.3.7. Most Active Players: Analysis by Number of Partnerships
10.3.8. Analysis by Geography
10.3.8.1. Local and International Agreements
10.3.8.2. Intracontinental and Intercontinental Agreements
11. PLATFORM UTILIZATION AGREEMENTS IN SUPPLY CHAIN SOFTWARE SOLUTIONS MARKET
11.1. Chapter Overview
11.2. Platform Utilization Agreements in Supply Chain Software Solutions Market: List of Agreements
11.2.1. Analysis by Year of Agreement
11.2.2. Analysis by Type of Partner
11.2.3. Analysis by Type of Software Involved
11.2.4. Analysis by Type of Partner and Type of Software Involved
11.2.5. Analysis of Partners by Geography
11.2.5. Most Active Players: Analysis by Number of Platform Utilization Agreements
12. STAKEHOLDER NEEDS ANALYSIS
12.1. Chapter Overview
12.2. Cell and Gene Therapy Supply Chain: Needs of Different Stakeholders
12.2.1. Comparison of Stakeholder Needs
12.2.2. Conclusion
13. MARKET IMPACT ANALYSIS: DRIVERS, RESTRAINTS, OPPORTUNITIES AND CHALLENGES
13.1. Chapter Overview
13.2. Market Drivers
13.3. Market Restraints
13.4. Market Opportunities
13.5. Market Challenges
13.6. Conclusion
14. GLOBAL CELL AND GENE THERAPY SUPPLY CHAIN SOFTWARE MARKET
14.1. Chapter Overview
14.2. Assumptions and Methodology
14.3. Global Cell and Gene Therapy Supply Chain Software Market, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
14.3.1. Scenario Analysis
14.3.1.1. Conservative Scenario
14.3.1.2. Optimistic Scenario
14.4. Key Market Segmentations
14.5. Dynamic Dashboard
15. CELL AND GENE THERAPY SUPPLY CHAIN SOFTWARE MARKET, BY PROCESS COMPONENT
15.1. Chapter Overview
15.2. Key Assumptions and Methodology
15.3. Cell and Gene Therapy Supply Chain Software Market: Distribution by Process Component, 2018, 2024 and 2035
15.3.1. Cell and Gene Therapy Supply Chain Software Market for Sample Collection and Processing Component: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD Million)
15.3.2. Cell and Gene Therapy Supply Chain Software Market for Manufacturing Component: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
15.3.3. Cell and Gene Therapy Supply Chain Software Market for Logistics Component: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
15.3.4. Cell and Gene Therapy Supply Chain Software Market for Patient Identification and Treatment Follow-Up Component: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
15.4. Data Triangulation and Validation
16. CELL AND GENE THERAPY SUPPLY CHAIN SOFTWARE MARKET, BY TYPE OF SOFTWARE
16.1. Chapter Overview
16.2. Key Assumptions and Methodology
16.3. Cell and Gene Therapy Supply Chain Software Market: Distribution by Type of Software, 2018, 2024 and 2035
16.3.1. Cell and Gene Therapy Supply Chain Software Market for EMS: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
16.3.2. Cell and Gene Therapy Supply Chain Software Market for LIMS: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
16.3.3. Cell and Gene Therapy Supply Chain Software Market for IMS: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
16.3.4. Cell and Gene Therapy Supply Chain Software Market for COP: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
16.3.5. Cell and Gene Therapy Supply Chain Software Market for QMS: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
16.3.6. Cell and Gene Therapy Supply Chain Software Market for LMS: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
16.3.7. Cell and Gene Therapy Supply Chain Software Market for PMS: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
16.4. Data Triangulation and Validation
17. CELL AND GENE THERAPY SUPPLY CHAIN SOFTWARE MARKET, BY MODE OF DEPLOYMENT
17.1. Chapter Overview
17.2. Key Assumptions and Methodology
17.3. Cell and Gene Therapy Supply Chain Software Market: Distribution by Mode of Deployment, 2018, 2024 and 2035
17.3.1. Cell and Gene Therapy Supply Chain Software Market for On-premise Deployment: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
17.3.2. Cell and Gene Therapy Supply Chain Software Market for Cloud-based Deployment: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
17.4. Data Triangulation and Validation
18. CELL AND GENE THERAPY SUPPLY CHAIN SOFTWARE MARKET, BY SCALE OF OPERATION
18.1. Chapter Overview
18.2. Key Assumptions and Methodology
18.3. Cell and Gene Therapy Supply Chain Software Market: Distribution by Scale of Operation, 2018, 2024 and 2035
18.3.1. Cell and Gene Therapy Supply Chain Software Market for Clinical Scale: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
18.3.2. Cell and Gene Therapy Supply Chain Software Market for Commercial Scale: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
18.4. Data Triangulation and Validation
19. CELL AND GENE THERAPY SUPPLY CHAIN SOFTWARE MARKET, BY TYPE OF END-USER
19.1. Chapter Overview
19.2. Key Assumptions and Methodology
19.3. Cell and Gene Therapy Supply Chain Software Market: Distribution by Type of End-User, 2018, 2024 and 2035
19.3.1. Cell and Gene Therapy Supply Chain Software Market for Pharmaceutical Companies: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
19.3.2. Cell and Gene Therapy Supply Chain Software Market for Cell Therapy Labs: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
19.3.3. Cell and Gene Therapy Supply Chain Software Market for Hospitals / Medical Centers: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
19.3.4. Cell and Gene Therapy Supply Chain Software Market for Research Institutes / Biobanks: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
19.4. Data Triangulation and Validation
20. CELL AND GENE THERAPY SUPPLY CHAIN SOFTWARE MARKET, BY KEY GEOGRAPHICAL REGIONS
20.1. Chapter Overview
20.2. Key Assumptions and Methodology
20.3. Cell and Gene Therapy Supply Chain Software Market: Distribution by Key Geographical Regions, 2018, 2024 and 2035
20.3.1. Cell and Gene Therapy Supply Chain Software Market in North America: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.1.1. Cell and Gene Therapy Supply Chain Software Market in the US: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.1.2. Cell and Gene Therapy Supply Chain Software Market in Canada: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.2. Cell and Gene Therapy Supply Chain Software Market in Europe: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.2.1. Cell and Gene Therapy Supply Chain Software Market in the UK: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.2.2. Cell and Gene Therapy Supply Chain Software Market in Germany: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.2.3. Cell and Gene Therapy Supply Chain Software Market in France: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.2.4. Cell and Gene Therapy Supply Chain Software Market in Italy: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.2.5. Cell and Gene Therapy Supply Chain Software Market in Switzerland: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.2.6. Cell and Gene Therapy Supply Chain Software Market in Rest of Europe: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.3. Cell and Gene Therapy Supply Chain Software Market in Asia-Pacific: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.3.1. Cell and Gene Therapy Supply Chain Software Market in Australia: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.3.2. Cell and Gene Therapy Supply Chain Software Market in China: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.3.3. Cell and Gene Therapy Supply Chain Software Market in Japan: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.3.4. Cell and Gene Therapy Supply Chain Software Market in India: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.3.5. Cell and Gene Therapy Supply Chain Software Market in South Korea: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.3.6. Cell and Gene Therapy Supply Chain Software Market in Rest of Asia-Pacific: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.4. Cell and Gene Therapy Supply Chain Software Market in Rest of the World: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.4.1. Cell and Gene Therapy Supply Chain Software Market in New Zealand: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.4.2. Cell and Gene Therapy Supply Chain Software Market in Brazil: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.4.3. Cell and Gene Therapy Supply Chain Software Market in Israel: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.4.4. Cell and Gene Therapy Supply Chain Software Market in Other Countries: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.4. Data Triangulation and Validation
21. CONCLUSION
22. EXECUTIVE INSIGHTS
22.1. Chapter Overview
22.2. TrakCel
22.2.1. Company Snapshot
22.2.2. Interview Transcript: Martin Lamb, (Former Chief Business Officer)
22.3. Cell and Gene Therapy Catapult
22.3.1. Company Snapshot
22.3.2. Interview Transcript: Jacqueline Barry, Chief Clinical Officer
22.4. McKesson
22.4.1. Company Snapshot
22.4.2. Interview Transcript: Divya Iyer, Former Senior Director, Corporate Strategy and Business Development
22.5. Inlog
22.5.1. Company Snapshot
22.5.2. Interview Transcript: David Delay, International Sales and Transfusion Manager
22.6. Thermo Fisher Scientific
22.6.1. Company Snapshot
22.6.2. Interview Transcript: Bryan Poltilove, Former General Manager, Cell and Gene Therapy
23. APPENDIX 1: TABULATED DATA24. APPENDIX 2: LIST OF COMPANIES AND ORGANIZATIONS
LIST OF FIGURES
Figure 2.1 Research Methodology: Project Methodology
Figure 2.2 Research Methodology: Forecast Methodology
Figure 2.3 Research Methodology: Robust Quality Control
Figure 2.4 Research Methodology: Key Market Segmentations
Figure 3.1 Lessons Learnt from Past Recessions
Figure 4.1 Executive Summary: Cell and Gene Therapy Supply Chain Software Market Landscape
Figure 4.2 Executive Summary: Funding and Investment Analysis
Figure 4.3 Executive Summary: Partnerships and Collaborations
Figure 4.4 Executive Summary: Market Forecast and Opportunity Analysis
Figure 5.1 Classification of Advanced Therapy Medicinal Products
Figure 5.2 Difference between Cell / Advanced Therapies and Other Biotechnology Products
Figure 5.3 Components in the Cell and Gene Therapy Supply Chain
Figure 5.4 Software Solutions for Cell and Gene Therapy Supply Chain Management
Figure 5.5 Key Challenges in Cell and Gene Therapy Supply Chain
Figure 6.1 Cell and Gene Therapy Supply Chain Software: Distribution by Type of Software
Figure 6.2 Cell and Gene Therapy Supply Chain Software: Distribution by Key Features
Figure 6.3 Cell and Gene Therapy Supply Chain Software: Distribution by Application Area
Figure 6.4 Cell and Gene Therapy Supply Chain Software: Distribution by Mode of Deployment
Figure 6.5 Cell and Gene Therapy Supply Chain Software: Distribution by Type of Software and Mode of Deployment
Figure 6.6 Cell and Gene Therapy Supply Chain Software: Distribution by Scale of Operation
Figure 6.7 Cell and Gene Therapy Supply Chain Software: Distribution by Type of Software and Scale of Operation
Figure 6.8 Cell and Gene Therapy Supply Chain Software: Distribution by Regulatory Guidelines Followed
Figure 6.9 Cell and Advanced Therapies Supply Chain Management Software: Distribution by Type of End-User
Figure 6.10 Cell and Gene Therapy Supply Chain Software: Distribution by Type of Software and Type of End-User
Figure 6.11 Cell and Gene Therapy Supply Chain Software Developers: Distribution by Year of Establishment
Figure 6.12 Cell and Gene Therapy Supply Chain Software Developers: Distribution by Company Size
Figure 6.13 Cell and Gene Therapy Supply Chain Software Developers: Distribution by Year of Establishment and Company Size
Figure 6.14 Cell and Gene Therapy Supply Chain Software Developers: Distribution by Location of Headquarters (Region)
Figure 6.15 Cell and Gene Therapy Supply Chain Software Developers: Distribution by Location of Headquarters (Country)
Figure 6.16 Cell and Gene Therapy Supply Chain Software Developers: Distribution by Number of Software Solutions Offered
Figure 6.17 Most Active Players: Distribution by Number of Software Solutions Offered
Figure 7.1 Company Competitiveness Analysis: COP Developers
Figure 7.2 Company Competitiveness Analysis: EMS Developers
Figure 7.3 Company Competitiveness Analysis: IMS Developers
Figure 7.4 Company Competitiveness Analysis: LIMS Developers
Figure 7.5 Company Competitiveness Analysis: LMS Developers
Figure 7.6 Company Competitiveness Analysis: PMS Developers
Figure 7.7 Company Competitiveness Analysis: QMS Developers
Figure 7.8 Company Competitiveness Analysis: TTS Developers
Figure 8.1 Azenta Life Sciences: Annual Revenues, FY 2020-FY 2023 (USD Million)
Figure 8.2 NMDP BioTherapies: Annual Revenues, FY 2019-FY 2022 (USD Million)
Figure 8.3 BioLife Solutions: Annual Revenues, FY 2020-FY 2023 (USD Million)
Figure 8.4 CareDx: Annual Revenues, FY 2018-FY 2021 (USD Million)
Figure 8.5 Cryoport: Annual Revenues, FY 2019-9M FY 2023 (USD Million)
Figure 8.6 Lonza: Annual Revenues, FY 2019-FY 2023 (CHF Million)
Figure 8.7 Veeva Systems: Annual Revenues, FY 2020 - FY 2023 (USD Million)
Figure 9.1 Funding and Investment Analysis: Cumulative Year-wise Trend, 2014-2023
Figure 9.2 Funding and Investment Analysis: Distribution by Amount Invested, 2014-2023 (USD Million)
Figure 9.3 Funding and Investment Analysis: Distribution by Type of Funding
Figure 9.4 Funding and Investment Analysis: Distribution by Type of Funding and Amount Invested (USD Million)
Figure 9.5 Funding and Investment Analysis: Distribution of Amount Invested by Year and Type of Funding, 2014-2023
Figure 9.6 Funding and Investment Analysis: Geographical Distribution of Funding Instances and Amount Invested
Figure 9.7 Funding and Investment Analysis: Geographical Distribution of Funding Instances (Country)
Figure 9.8 Most Active Players: Distribution by Number of Funding Instances
Figure 9.9 Most Active Players: Distribution by Amount Raised (USD Million)
Figure 9.10 Key Investors: Distribution by Number of Funding Instances
Figure 9.11 Funding and Investment Analysis: Distribution by Type of Investor
Figure 10.1 Partnerships and Collaborations: Cumulative Year-wise Trend of Partnerships, 2019-2024
Figure 10.2 Partnerships and Collaborations: Distribution by Type of Partnership
Figure 10.3 Partnerships and Collaborations: Distribution by Year and Type of Partnership
Figure 10.4 Partnerships and Collaborations: Distribution by Type of Partnership and Company Size
Figure 10.5 Partnerships and Collaborations: Distribution by Type of Software Involved
Figure 10.6 Partnerships and Collaborations: Distribution by Type of Partner
Figure 10.7 Most Active Players: Distribution by Number of Partnerships
Figure 10.8 Partnerships and Collaborations: Local and International Agreements
Figure 10.9 Partnerships and Collaborations: Intracontinental and Intercontinental Agreements
Figure 11.1 Platform Utilization Agreements: Cumulative Year-wise Trend of Agreements, 2019-2024
Figure 11.2 Platform Utilization Agreements: Distribution by Type of Partner
Figure 11.3 Platform Utilization Agreements: Distribution by Type of Software Involved
Figure 11.4 Platform Utilization Agreements: Distribution by Type of Partner and Type of Software Involved
Figure 11.5 Platform Utilization Agreements: Distribution of Partners by Geography
Figure 11.6 Most active Players: Distribution by Number of Platform Utilization Agreements
Figure 12.1 Cell and Gene Therapy Supply Chain: Stakeholder Needs
Figure 12.2 Relative Importance of Stakeholders Needs
Figure 13.1 Cell and Gene Therapy Supply Chain Software: Market Drivers
Figure 13.2 Cell and Gene Therapy Supply Chain Software: Market Restraints
Figure 13.3 Cell and Gene Therapy Supply Chain Software: Market Opportunities
Figure 13.4 Cell and Gene Therapy Supply Chain Software: Market Challenges
Figure 14.1 Global Cell and Gene Therapy Supply Chain Software Market, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD Million)
Figure 14.2 Global Cell and Gene Therapy Supply Chain Software Market, Forecasted Estimates (2024-2035): Conservative Scenario (USD Million)
Figure 14.3 Global Cell and Gene Therapy Supply Chain Software Market, Forecasted Estimates (2024-2035): Optimistic Scenario (USD Million)
Figure 15.1 Cell and Gene Therapy Supply Chain Software Market: Distribution by Process Component, 2018, 2024 and 2035 (USD Million)
Figure 15.2 Cell and Gene Therapy Supply Chain Software Market for Sample Collection and Processing Component, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 15.3 Cell and Gene Therapy Supply Chain Software Market for Manufacturing Component, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 15.4 Cell and Gene Therapy Supply Chain Software Market for Logistics Component, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 15.5 Cell and Gene Therapy Supply Chain Software Market for Patient Identification and Treatment Follow-Up Component, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 16.1 Cell and Gene Therapy Supply Chain Software Market: Distribution by Type of Software Solution, 2018, 2024 and 2035 (USD Million)
Figure 16.2 Cell and Gene Therapy Supply Chain Software Market for EMS, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 16.3 Cell and Gene Therapy Supply Chain Software Market for LIMS, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 16.4 Cell and Gene Therapy Supply Chain Software Market for IMS, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 16.5 Cell and Gene Therapy Supply Chain Software Market for COP, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 16.6 Cell and Gene Therapy Supply Chain Software Market for QMS, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 16.7 Cell and Gene Therapy Supply Chain Software Market for LMS, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 16.8 Cell and Gene Therapy Supply Chain Software Market for PMS, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 17.1 Cell and Gene Therapy Supply Chain Software Market: Distribution by Mode of Deployment, 2018, 2024 and 2035 (USD Million)
Figure 17.2 Cell and Gene Therapy Supply Chain Software Market for On-premise Deployment, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 17.3 Cell and Gene Therapy Supply Chain Software Market for Cloud-based Deployment, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 18.1 Cell and Gene Therapy Supply Chain Software Market: Distribution by Scale of Operation, 2018, 2024 and 2035 (USD Million)
Figure 18.2 Cell and Gene Therapy Supply Chain Software Market for Clinical Scale, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 18.3 Cell and Gene Therapy Supply Chain Management Software Market for Commercial Scale, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 19.1 Cell and Gene Therapy Supply Chain Software Market: Distribution by Type of End-User, 2018, 2024 and 2035 (USD Million)
Figure 19.2 Cell and Gene Therapy Supply Chain Software Market for Pharmaceutical Companies, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 19.3 Cell and Gene Therapy Supply Chain Software Market for Cell Therapy Labs, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 19.4 Cell and Gene Therapy Supply Chain Software Market for Hospitals / Medical Centers, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 19.5 Cell and Gene Therapy Supply Chain Software Market for Research Institutes / Biobanks, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.1 Cell and Gene Therapy Supply Chain Software Market: Distribution by Key Geographical Regions, 2018, 2024 and 2035 (USD Million)
Figure 20.2 Cell and Gene Therapy Supply Chain Software Market in North America, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.3 Cell and Gene Therapy Supply Chain Software Market in the US, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.4 Cell and Gene Therapy Supply Chain Software Market in Canada, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.5 Cell and Gene Therapy Supply Chain Software Market in Europe, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.6 Cell and Gene Therapy Supply Chain Management Software Market in the UK, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.7 Cell and Gene Therapy Supply Chain Management Software Market in Germany, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.8 Cell and Gene Therapy Supply Chain Software Market in France, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.9 Cell and Gene Therapy Supply Chain Software Market in Italy, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.10 Cell and Gene Therapy Supply Chain Software Market in Switzerland, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.11 Cell and Gene Therapy Supply Chain Software Market in Rest of Europe, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.12 Cell and Gene Therapy Supply Chain Software Market in Asia-Pacific, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.13 Cell and Gene Therapy Supply Chain Software Market in Australia, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.14 Cell and Gene Therapy Supply Chain Software Market in China, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.15 Cell and Gene Therapy Supply Chain Software Market in Japan, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.16 Cell and Gene Therapy Supply Chain Software Market in India, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.17 Cell and Gene Therapy Supply Chain Software Market in South Korea, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.18 Cell and Gene Therapy Supply Chain Software Market in Rest of Asia-Pacific, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.19 Cell and Gene Therapy Supply Chain Software Market in Rest of the World, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.20 Cell and Gene Therapy Supply Chain Software Market in New Zealand, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.21 Cell and Gene Therapy Supply Chain Software Market in Brazil, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.22 Cell and Gene Therapy Supply Chain Software Market in Israel, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 20.23 Cell and Gene Therapy Supply Chain Software Market in Other Countries, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035) (USD million)
Figure 21.1 Conclusion: Cell and Gene Therapy Supply Chain Software Market Landscape
Figure 21.2 Conclusion: Funding and Investment Analysis
Figure 21.3 Conclusion: Partnerships and Collaborations
Figure 21.4 Conclusion: Market Forecast and Opportunity Analysis
LIST OF TABLES
Table 5.1 Therapeutic Applications of Cell Therapies
Table 6.1 Cell and Gene Therapy Supply Chain Software: Information on Type of Software and Key Features Offered
Table 6.3 Cell and Gene Therapy Supply Chain Software: Information on Application Area
Table 6.4 Cell and Gene Therapy Supply Chain Software: Information on Mode of Deployment and Scale of Operation
Table 6.5 Cell and Gene Therapy Supply Chain Software: Information on Regulatory Guidelines Followed
Table 6.6 Cell and Gene Therapy Supply Chain Software: Information on Type of End-User
Table 6.7 List of Cell and Gene Therapy Supply Chain Software Developers
Table 8.1 Cell and Gene Therapy Supply Chain Software: List of Companies Profiled
Table 8.2 Cell and Gene Therapy Supply Chain Software: List of Other Leading Players
Table 8.3 Azenta Life Sciences: Company Overview
Table 8.4 Azenta Life Sciences: Supply Chain Management Solutions Portfolio
Table 8.5 Azenta Life Sciences: Recent Developments and Future Outlook
Table 8.6 NMDP BioTherapies: Company Overview
Table 8.7 NMDP BioTherapies: Supply Chain Management Solutions Portfolio
Table 8.8 NMDP BioTherapies: Recent Developments and Future Outlook
Table 8.9 Biocair: Company Overview
Table 8.10 Biocair: Supply Chain Management Solutions Portfolio
Table 8.11 Biocair: Recent Developments and Future Outlook
Table 8.12 BioLife Solutions: Company Overview
Table 8.13 BioLife Solutions: Supply Chain Management Solutions Portfolio
Table 8.14 BioLife Solutions: Recent Developments and Future Outlook
Table 8.15 CareDx: Company Overview
Table 8.16 CareDx: Supply Chain Management Solutions Portfolio
Table 8.17 CareDX: Recent Developments and Future Outlook
Table 8.18 Cryoport: Company Overview
Table 8.19 Cryoport: Supply Chain Management Solutions Portfolio
Table 8.20 Cryoport: Recent Developments and Future Outlook
Table 8.21 Lonza: Company Overview
Table 8.22 Lonza: Supply Chain Management Solutions Portfolio
Table 8.23 Lonza: Recent Developments and Future Outlook
Table 8.24 TraceLink: Company Overview
Table 8.25 TraceLink: Supply Chain Management Solutions Portfolio
Table 8.26 TraceLink: Recent Developments and Future Outlook
Table 8.27 TrakCel: Company Overview
Table 8.28 TrakCel: Supply Chain Management Solutions Portfolio
Table 8.29 TrakCel: Recent Developments and Future Outlook
Table 8.30 Veeva Systems: Company Overview
Table 8.31 Veeva Systems: Supply Chain Management Solutions Portfolio
Table 8.32 Veeva Systems: Recent Developments and Future Outlook
Table 8.33 Emerson: Company Overview
Table 8.34 Emerson: Supply Chain Management Solutions Portfolio
Table 8.35 LabVantage Solutions: Company Overview
Table 8.36 LabVantage Solutions: Supply Chain Management Solutions Portfolio
Table 8.37 Marken: Company Overview
Table 8.38 Marken: Supply Chain Management Solutions Portfolio
Table 8.39 MasterControl: Company Overview
Table 8.40 MasterControl: Supply Chain Management Solutions Portfolio
Table 8.41 QuickSTAT: Company Overview
Table 8.42 QuickSTAT: Supply Chain Management Solutions Portfolio
Table 8.43 Siemens: Company Overview
Table 8.44 Siemens: Supply Chain Management Solutions Portfolio
Table 8.45 Stafa Cellular Therapy: Company Overview
Table 8.46 Stafa Cellular Therapy: Supply Chain Management Solutions Portfolio
Table 8.47 Steiner: Company Overview
Table 8.48 Steiner: Supply Chain Management Solutions Portfolio
Table 8.49 STEMSOFT Software: Company Overview
Table 8.50 STEMSOFT Software: Supply Chain Management Solutions Portfolio
Table 8.51 TECHNIDATA: Company Overview
Table 8.52 TECHNIDATA: Supply Chain Management Solutions Portfolio
Table 8.53 Thermo Fisher Scientific: Company Overview
Table 8.54 Thermo Fisher Scientific: Supply Chain Management Solutions Portfolio
Table 9.1 Cell and Gene Therapy Supply Chain Software: List of Funding and Investments, 2014-2023
Table 10.1 Cell and Gene Therapy Supply Chain Software: List of Partnerships and Collaborations, 2019-2024
Table 11.1 Cell and Gene Therapy Supply Chain Software: List of Platform Utilization Agreements, 2019-2024
Table 22.1 TrakCel: Company Snapshot
Table 22.2 Cell and Gene Therapy Catapult: Company Snapshot
Table 22.3 McKesson: Company Snapshot
Table 22.4 Inlog: Company Snapshot
Table 22.5 Thermo Fisher Scientific: Company Snapshot
Table 23.1 Cell and Gene Therapy Supply Chain Software: Distribution by Type of Software
Table 23.2 Cell and Gene Therapy Supply Chain Software: Distribution by Key Features
Table 23.3 Cell and Gene Therapy Supply Chain Software: Distribution by Application Area
Table 23.4 Cell and Gene Therapy Supply Chain Software: Distribution by Mode of Deployment
Table 23.5 Cell and Gene Therapy Supply Chain Software: Distribution by Type of Software and Mode of Deployment
Table 23.6 Cell and Gene Therapy Supply Chain Software: Distribution by Scale of Operation
Table 23.7 Cell and Gene Therapy Supply Chain Software: Distribution by Type of Software and Scale of Operation
Table 23.8 Cell and Gene Therapy Supply Chain Software: Distribution by Regulatory Guidelines Followed
Table 23.9 Cell and Advanced Therapies Supply Chain Management Software: Distribution by Type of End-User
Table 23.10 Cell and Gene Therapy Supply Chain Software: Distribution by Type of Software and Type of End-User
Table 23.11 Cell and Gene Therapy Supply Chain Software Developers: Distribution by Year of Establishment
Table 23.12 Cell and Gene Therapy Supply Chain Software Developers: Distribution by Company Size
Table 23.13 Cell and Gene Therapy Supply Chain Software Developers: Distribution by Year of Establishment and Company Size
Table 23.14 Cell and Gene Therapy Supply Chain Software Developers: Distribution by Location of Headquarters (Region)
Table 23.15 Cell and Gene Therapy Supply Chain Software Developers: Distribution by Location of Headquarters (Country)
Table 23.16 Cell and Gene Therapy Supply Chain Software Developers: Distribution by Number of Software Solutions Offered
Table 23.17 Most Active Players: Distribution by Number of Software Solutions Offered
Table 23.18 Azenta Life Sciences: Annual Revenues, FY 2020-FY 2023 (USD Million)
Table 23.19 NMDP BioTherapies: Annual Revenues, FY 2019 - FY 2022 (USD Million)
Table 23.20 BioLife Solutions: Annual Revenues, FY 2020 - FY 2023 (USD Million)
Table 23.21 CareDx: Annual Revenues, FY 2018 - FY 2021 (USD Million)
Table 23.22 Cryoport: Annual Revenues, FY 2019 - 9M FY 2023 (USD Million)
Table 23.23 Lonza: Annual Revenues, FY 2019 - FY 2023 (CHF Million)
Table 23.24 Veeva Systems: Annual Revenues, FY 2020 - FY 2023 (USD Million)
Table 23.25 Funding and Investment Analysis: Cumulative Year-wise Trend, 2014-2023
Table 23.26 Funding and Investment Analysis: Distribution by Amount Invested, 2014-2023 (USD Million)
Table 23.27 Funding and Investment Analysis: Distribution by Type of Funding, 2014-2023
Table 23.28 Funding and Investment Analysis: Distribution by Type of Funding and Amount Invested (USD Million)
Table 23.29 Funding and Investment Analysis: Distribution of Amount Invested by Year and Type of Funding, 2014-2023
Table 23.30 Funding and Investment Analysis: Geographical Distribution of Funding Instances and Amount Invested
Table 23.31 Funding and Investment Analysis: Geographical Distribution of Funding Instances (Country)
Table 23.32 Most Active Players: Distribution by Number of Funding Instances
Table 23.33 Most Active Players: Distribution by Amount Raised (USD Million)
Table 23.34 Key Investors: Distribution by Number of Funding Instances
Table 23.35 Funding and Investment Analysis: Distribution by Type of Investor
Table 23.36 Partnerships and Collaborations: Cumulative Year-wise Trend of Partnerships, 2019-2024
Table 23.37 Partnerships and Collaborations: Distribution by Type of Partnership
Table 23.38 Partnerships and Collaborations: Distribution by Year and Type of Partnership
Table 23.39 Partnerships and Collaborations: Distribution by Type of Partnership and Company Size
Table 23.40 Partnerships and Collaborations: Distribution by Type of Software Involved
Table 23.41 Partnerships and Collaborations: Distribution by Type of Partner
Table 23.42 Most Active Players: Distribution by Number of Partnerships
Table 23.43 Partnerships and Collaborations: Local and International Agreements
Table 23.44 Partnerships and Collaborations: Intracontinental and Intercontinental Agreements
Table 23.45 Platform Utilization Agreements: Cumulative Year-wise Trend of Agreements, 2019-2024
Table 23.46 Platform Utilization Agreements: Distribution by Type of Partner
Table 23.47 Platform Utilization Agreements: Distribution by Type of Software Involved
Table 23.48 Platform Utilization Agreements: Distribution by Type of Partner and Type of Software Involved
Table 23.49 Platform Utilization Agreements: Distribution of Partners by Geography
Table 23.50 Most active Players: Distribution by Number of Platform Utilization Agreements
Table 23.51 Global Cell and Gene Therapy Supply Chain Software Market, Historical Trends (2018-2023) (USD Million)
Table 23.52 Global Cell and Gene Therapy Supply Chain Software Market, Forecasted Estimates (2024-2035) Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.53 Cell and Gene Therapy Supply Chain Software Market: Distribution by Process Component, 2018, 2024 and 2035 (USD Million)
Table 23.54 Cell and Gene Therapy Supply Chain Software Market for Sample Collection and Processing Component: Historical Trends (2018-2023) (USD Million)
Table 23.55 Cell and Gene Therapy Supply Chain Software Market for Sample Collection and Processing Component: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.56 Cell and Gene Therapy Supply Chain Software Market for Manufacturing Component: Historical Trends (2018-2023) (USD Million)
Table 23.57 Cell and Gene Therapy Supply Chain Software Market for Manufacturing Component: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.58 Cell and Gene Therapy Supply Chain Software Market for Logistics Component: Historical Trends (2018-2023) (USD Million)
Table 23.59 Cell and Gene Therapy Supply Chain Software Market for Logistics Component: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.60 Cell and Gene Therapy Supply Chain Software Market for Patient Identification and Treatment Follow-Up Component: Historical Trends (2018-2023) (USD Million)
Table 23.61 Cell and Gene Therapy Supply Chain Software Market for Patient Identification and Treatment Follow-Up Component: Forecasted Estimates (2024-2035), Conservative,Base and Optimistic Scenarios (USD Million)
Table 23.62 Cell and Gene Therapy Supply Chain Software Market: Distribution by Type of Software, 2018, 2024 and 2035 (USD Million)
Table 23.63 Cell and Gene Therapy Supply Chain Software Market for EMS: Historical Trends (2018-2023) (USD Million)
Table 23.64 Cell and Gene Therapy Supply Chain Software Market for EMS: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.65 Cell and Gene Therapy Supply Chain Software Market for LIMS: Historical Trends (2018-2023) (USD Million)
Table 23.66 Cell and Gene Therapy Supply Chain Software Market for LIMS: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.67 Cell and Gene Therapy Supply Chain Software Market for IMS: Historical Trends (2018-2023) (USD Million)
Table 23.68 Cell and Gene Therapy Supply Chain Software Market for IMS: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.69 Cell and Gene Therapy Supply Chain Software Market for COP: Historical Trends (2018-2023) (USD Million)
Table 23.70 Cell and Gene Therapy Supply Chain Software Market for COP: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.71 Cell and Gene Therapy Supply Chain Software Market for QMS: Historical Trends (2018-2023) (USD Million)
Table 23.72 Cell and Gene Therapy Supply Chain Software Market for QMS: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.73 Cell and Gene Therapy Supply Chain Software Market for LMS: Historical Trends (2018-2023) (USD Million)
Table 23.74 Cell and Gene Therapy Supply Chain Software Market for LMS: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.75 Cell and Gene Therapy Supply Chain Software Market for PMS: Historical Trends (2018-2023) (USD Million)
Table 23.76 Cell and Gene Therapy Supply Chain Software Market for PMS: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.77 Cell and Gene Therapy Supply Chain Software Market: Distribution by Mode of Deployment, 2018, 2024 and 2035 (USD Million)
Table 23.78 Cell and Gene Therapy Supply Chain Software Market for On-premise Deployment: Historical Trends (2018-2023) (USD Million)
Table 23.79 Cell and Gene Therapy Supply Chain Software Market for On-premise Deployment: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USDMillion)
Table 23.80 Cell and Gene Therapy Supply Chain Software Market for Cloud-based Deployment: Historical Trends (2018-2023) (USD Million)
Table 23.81 Cell and Gene Therapy Supply Chain Software Market for Cloud-based Deployment: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.82 Cell and Gene Therapy Supply Chain Software Market: Distribution by Scale of Operation, 2018, 2024 and 2035 (USD Million)
Table 23.83 Cell and Gene Therapy Supply Chain Software Market for Clinical Scale: Historical Trends (2018-2023) (USD Million)
Table 23.84 Cell and Gene Therapy Supply Chain Software Market for Clinical Scale: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.85 Cell and Gene Therapy Supply Chain Management Software Market for Commercial Scale: Historical Trends (2018-2023) (USD Million)
Table 23.86 Cell and Gene Therapy Supply Chain Management Software Market for Commercial Scale: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.87 Cell and Gene Therapy Supply Chain Software Market: Distribution by Type of End-User, 2018, 2024 and 2035 (USD Million)
Table 23.88 Cell and Gene Therapy Supply Chain Software Market for Pharmaceutical Companies: Historical Trends (2018-2023) (USD Million)
Table 23.89 Cell and Gene Therapy Supply Chain Software Market for Pharmaceutical Companies: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.90 Cell and Gene Therapy Supply Chain Software Market for Cell Therapy Labs: Historical Trends (2018-2023) (USD Million)
Table 23.91 Cell and Gene Therapy Supply Chain Software Market for Cell Therapy Labs: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.92 Cell and Gene Therapy Supply Chain Software Market for Hospitals / Medical Centers: Historical Trends (2018-2023) (USD Million)
Table 23.93 Cell and Gene Therapy Supply Chain Software Market for Hospitals / Medical Centers: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.94 Cell and Gene Therapy Supply Chain Software Market for Research Institutes / Biobanks: Historical Trends (2018-2023) (USD Million)
Table 23.95 Cell and Gene Therapy Supply Chain Software Market for Research Institutes / Biobanks: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.96 Cell and Gene Therapy Supply Chain Software Market: Distribution by Key Geographical Regions, 2018, 2024 and 2035 (USD Million)
Table 23.97 Cell and Gene Therapy Supply Chain Software Market in North America: Historical Trends (2018-2023) (USD Million)
Table 23.98 Cell and Gene Therapy Supply Chain Software Market in North America: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.99 Cell and Gene Therapy Supply Chain Software Market in the US: Historical Trends (2018-2023) (USD Million)
Table 23.100 Cell and Gene Therapy Supply Chain Software Market in the US: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.101 Cell and Gene Therapy Supply Chain Software Market in Canada: Historical Trends (2018-2023) (USD Million)
Table 23.102 Cell and Gene Therapy Supply Chain Software Market in Canada: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.103 Cell and Gene Therapy Supply Chain Software Market in Europe: Historical Trends (2018-2023) (USD Million)
Table 23.104 Cell and Gene Therapy Supply Chain Software Market in Europe: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.105 Cell and Gene Therapy Supply Chain Management Software Market in the UK: Historical Trends (2018-2023) (USD Million)
Table 23.106 Cell and Gene Therapy Supply Chain Management Software Market in the UK: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.107 Cell and Gene Therapy Supply Chain Management Software Market in Germany: Historical Trends (2018-2023) (USD Million)
Table 23.108 Cell and Gene Therapy Supply Chain Management Software Market in Germany: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.109 Cell and Gene Therapy Supply Chain Software Market in France: Historical Trends (2018-2023) (USD Million)
Table 23.110 Cell and Gene Therapy Supply Chain Software Market in France: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.111 Cell and Gene Therapy Supply Chain Software Market in Italy: Historical Trends (2018-2023) (USD Million)
Table 23.112 Cell and Gene Therapy Supply Chain Software Market in Italy: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.113 Cell and Gene Therapy Supply Chain Software Market in Switzerland: Historical Trends (2018-2023) (USD Million)
Table 23.114 Cell and Gene Therapy Supply Chain Software Market in Switzerland: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.115 Cell and Gene Therapy Supply Chain Software Market in Rest of Europe: Historical Trends (2018-2023) (USD Million)
Table 23.116 Cell and Gene Therapy Supply Chain Software Market in Rest of Europe: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.117 Cell and Gene Therapy Supply Chain Software Market in Asia-Pacific: Historical Trends (2018-2023) (USD Million)
Table 23.118 Cell and Gene Therapy Supply Chain Software Market in Asia-Pacific: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.119 Cell and Gene Therapy Supply Chain Software Market in Australia: Historical Trends (2018-2023) (USD Million)
Table 23.120 Cell and Gene Therapy Supply Chain Software Market in Australia: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.121 Cell and Gene Therapy Supply Chain Software Market in China: Historical Trends (2018-2023) (USD Million)
Table 23.122 Cell and Gene Therapy Supply Chain Software Market in China: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.123 Cell and Gene Therapy Supply Chain Software Market in Japan: Historical Trends (2018-2023) (USD Million)
Table 23.124 Cell and Gene Therapy Supply Chain Software Market in Japan: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.125 Cell and Gene Therapy Supply Chain Software Market in India: Historical Trends (2018-2023) (USD Million)
Table 23.126 Cell and Gene Therapy Supply Chain Software Market in India: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.127 Cell and Gene Therapy Supply Chain Software Market in South Korea: Historical Trends (2018-2023) (USD Million)
Table 23.128 Cell and Gene Therapy Supply Chain Software Market in South Korea: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.129 Cell and Gene Therapy Supply Chain Software Market in Rest of Asia-Pacific: Historical Trends (2018-2023) (USD Million)
Table 23.130 Cell and Gene Therapy Supply Chain Software Market in Rest of Asia-Pacific: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.131 Cell and Gene Therapy Supply Chain Software Market in Rest of the World: Historical Trends (2018-2023) (USD Million)
Table 23.132 Cell and Gene Therapy Supply Chain Software Market in Rest of the World: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.133 Cell and Gene Therapy Supply Chain Software Market in New Zealand: Historical Trends (2018-2023) (USD Million)
Table 23.134 Cell and Gene Therapy Supply Chain Software Market in New Zealand: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.135 Cell and Gene Therapy Supply Chain Software Market in Brazil: Historical Trends (2018-2023) (USD Million)
Table 23.136 Cell and Gene Therapy Supply Chain Software Market in Brazil: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.137 Cell and Gene Therapy Supply Chain Software Market in Israel: Historical Trends (2018-2023) (USD Million)
Table 23.138 Cell and Gene Therapy Supply Chain Software Market in Israel: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)
Table 23.139 Cell and Gene Therapy Supply Chain Software Market in Other Countries: Historical Trends (2018-2023) (USD Million)
Table 23.140 Cell and Gene Therapy Supply Chain Software Market in Other Countries: Forecasted Estimates (2024-2035), Conservative, Base and Optimistic Scenarios (USD Million)

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Abdulla Fouad
  • Accenture
  • Agilent
  • AirPlus
  • Alkeon
  • Almac
  • Altimeter Capital Management
  • AmerisourceBergen
  • AmplifyBio
  • Andreessen Horowitz
  • Aport
  • Aramex
  • Arvato
  • Assurea
  • Astero Bio (Acquired by BioLife Solutions)
  • Atara Biotherapeutics
  • ATMPS
  • Autoscribe (Acquired by Xybion)
  • Avantor
  • Avendium
  • Azenta Life Sciences
  • B Medical Systems
  • Barkey
  • Bayer
  • Benchling
  • Benchmark
  • Bio LIMS
  • Bio Pharma Logistics
  • Bio Transportes
  • Biocair
  • Biokin Pharmaceutical
  • BioLife Plasma Services
  • BioLife Solutions
  • Biomax Informatics
  • Blackstone
  • Blue Mountain
  • Bluebird Express
  • Bluechiip
  • Bluecord
  • Bluecrux
  • Boston IVF
  • Bregal Sagemount
  • Canaan
  • Canadian Tissue Repository Network
  • CareDx
  • Casdin Capital
  • Catalent
  • Cell and Gene Therapy Catapult
  • Cell Matters
  • Cell&Co BioServices
  • Cellenkos
  • CellPort
  • Cencora
  • Certara
  • Chimeric Therapeutics
  • Civica
  • Clarkston Consulting
  • Cloudbyz
  • CloudLIMS
  • ComplianceQuest
  • CORDET
  • Critical Transport Solutions Australia
  • Cryo Store
  • CRYOPDP
  • Cryoport
  • CryoTrack
  • CSafe
  • Culture Biosciences
  • Custom Biogenic Systems (Acquired by BioLife Solutions)
  • Cytiva
  • DACOS
  • Data+
  • Database Integrations
  • Dendreon
  • Draper Associates
  • EDITLife
  • Elemental Machines
  • Emerson
  • Eusoft
  • EVERSANA
  • Evotec
  • Excellis
  • F-Airgate
  • F-Prime Capital
  • FibroFind
  • Fidelity Biosciences
  • FirstMark Capital
  • Founders Fund
  • Franklin Templeton
  • Fraunhofer IZI
  • Freezerworks
  • FUJIFILM Irvine Scientific
  • Gamida Cell
  • Garuda Therapeutics
  • GE Ventures
  • Gemma Frisius
  • Genepeutic Bio
  • Georgian
  • Germfree
  • Goldman Sachs Growth Equity
  • Google Cloud
  • GPI
  • Haemonetics
  • Haier Biomedical
  • HealthVerity
  • Hemasoft
  • Hexaware Technologies
  • HighPoint
  • Hitachi
  • Holo4Labs
  • Hypertrust (An Elixum Company)
  • IBM
  • ICON
  • iGEM
  • Inception Fertility
  • Informeleon
  • INFORS HT
  • Inlog
  • Innovate UK
  • Innovation Connections
  • Insight Partners
  • Interactive Software
  • Jeeves
  • Kiadis Pharma
  • KIBI (Acquired by Omda)
  • Kinaxis
  • Kite Pharma (Acquired by Gilead Sciences)
  • KLP Enterprises
  • Körber
  • LabConnect
  • Labcorp
  • Labguru
  • LabVantage Solutions
  • LabWare
  • Lacroix Labo Privé
  • LiderSales
  • Lifeforce Capital
  • Lonza
  • LRM
  • MAK-SYSTEM
  • Marken
  • MasterControl
  • Mayo Clinic Ventures
  • McKesson
  • MedActionPlan
  • MediGO
  • MEDIPAL
  • MediSapiens
  • MedSciNet
  • Memorial Sloan Kettering Cancer Center
  • Menlo Ventures
  • Minaris Regenerative Medicine
  • Mitsubishi Logistics
  • Mobiquity
  • Modul-Bio
  • Monash IVF
  • Moonchase (Acquired by Inlog)
  • Mustang Bio
  • MVE Biological Solutions
  • MyCellHub
  • nChain
  • Nephron Pharmaceuticals
  • NetSuite
  • New York State Psychiatric Institute
  • Nice University Hospital
  • Nippon Express
  • NMDP BioTherapies
  • Noshaq
  • Oak HC/FT
  • Ocimum Biosolutions
  • Omda
  • One Network Enterprises
  • Ori Biotech
  • OTTR (Acquired by CareDx)
  • Overwatch Research (Acquired by Benchling)
  • Padua University Hospital
  • Parexel
  • PCI Pharma Services
  • PCX
  • Persistent Systems
  • Petrichor Capital Partners
  • Pharma.Aero
  • PharmaLink
  • PHSE
  • Pilgrim Quality Solutions
  • PlanDomino (Acquired by Bluecrux)
  • Polar Speed (Acquired by UPS)
  • POMS
  • Poseida Therapeutics
  • PRA Health Sciences (Acquired by ICON)
  • Priveq
  • Pro-curo Software
  • Progeny Genetics
  • Q2 Solutions
  • Quick Group of Companies
  • QuickSTAT
  • Recipharm
  • Roche
  • RoosterBio
  • RoslinCT
  • Roylance Pharma
  • RURO
  • salamanderU
  • SAP
  • Saudi Azm
  • SAVSU Technologies (Acquired by BioLife Solutions)
  • SciSafe
  • Scitara
  • Seagull Scientific
  • Seattle Children's Therapeutics
  • Sensire
  • Sequoia Capital Global Equities
  • Sexton Biotechnologies (Acquired by BioLife Solutions)
  • Siemens
  • SK Biopharmaceuticals
  • Skyland Analytics
  • South African Clinical Research Association
  • Stafa Cellular Therapy (StafaCT)
  • STARLIMS
  • Steiner
  • STEMSOFT Software
  • stemTrak
  • Stirling Ultracold (Acquired by BioLife Solutions)
  • SV Angel
  • Syneos Health
  • Tamer Healthcare
  • Tec4med
  • TECHNIDATA
  • Telegraph Hill Partners
  • tempmate
  • TetraScience
  • The CoFoundry
  • The Faktory
  • Thermo Fisher Scientific
  • THREAD
  • Thrive Capital
  • Titian Software
  • Title21 Health Solutions
  • Tmunity Therapeutics
  • TraceLink
  • TrakCel
  • Unity Lab Services
  • Value Drug Company
  • Veeva Systems
  • Vineti
  • Volition Capital
  • Waker Bioscience
  • WellSky
  • WindMIL Therapeutics
  • WuXi AppTec
  • Xybion
  • Y Combinator
  • Yokogawa
  • Yokogawa Solution Service
  • Yourway
  • ZS

Methodology

 

 

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Table Information