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ModelOps Market Size, Share, Growth Analysis, By Offering (Platforms & Services), Application (CI/CD, Monitoring & Alerting), Model Type (ML Model, Graph Model, Agent-based Model), Vertical and Region - Industry Forecast to 2029

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    Report

  • 310 Pages
  • June 2024
  • Region: Global
  • Markets and Markets
  • ID: 5985304
Description Jump to:
The global ModelOps Market is valued at USD 5.4 billion in 2024 and is estimated to reach USD 29.5 billion in 2029, registering a CAGR of 40.2% during the forecast period. The ModelOps Market focuses on optimizing the deployment, monitoring, and management of machine learning models in production. It encompasses automating model deployment, continuous monitoring for performance and data drift, ensuring governance and compliance, orchestrating automation for testing and retraining, and fostering collaboration among data scientists and stakeholders. This market is driven by the demand for scalable, reliable, and agile solutions across industries, enhancing operational efficiency and maximizing the value derived from AI initiatives. As AI and ML technologies advance, ModelOps continues to evolve with innovations in containerization, Kubernetes orchestration, and AI-driven automation, reshaping how organizations operationalize and derive insights from their models.

By offering, the platforms segment is projected to hold the largest market size during the forecast period.

In the rapidly evolving ModelOps market, platforms offering comprehensive solutions have seized the largest market share due to their integrated approach to managing the entire lifecycle of machine learning models. These platforms streamline operations by consolidating development, training, deployment, and monitoring processes into a unified environment, appealing to enterprises seeking efficiency and collaboration enhancements. Their scalability, supported by robust infrastructure and cloud capabilities, meets the increasing demand for deploying models at scale. Automation features throughout the lifecycle accelerate time-to-market and ensure consistency, while built-in governance mechanisms ensure compliance and reliability, crucial for regulated industries.

By type, graph-based models are registered to grow at the highest CAGR during the forecast period.

The rapid growth of graph-based model management tools within the ModelOps market stems from their adeptness at handling the intricate nature of modern AI systems. These tools manage complex relationships between models, datasets, and configurations, which traditional databases struggle to accommodate. Their scalability and flexibility make them ideal for dynamic AI environments where rapid evolution and large-scale data handling are the norm. Integrating seamlessly with existing AI platforms enhances visibility and control over model lifecycles, ensuring compliance with regulatory standards and internal governance. They support robust decision-making and automation in deployment processes by providing a clear and auditable lineage of models and data usage. As AI applications expand into new fields like edge computing and personalized medicine, graph-based tools offer a unified solution to effectively manage diverse and distributed environments.

By application, the continuous integration/continuous deployment segment is projected to hold the largest market size during the forecast period.

Continuous Integration and Continuous Delivery (CI/CD) holds a dominant position within the ModelOps market due to several key factors that highlight its critical role in deploying and managing machine learning models. First and foremost, CI/CD pipelines are foundational in enabling automation throughout the model development lifecycle. In the context of ModelOps, which focuses on operationalizing machine learning models at scale, CI/CD pipelines facilitate the seamless integration of new model versions into production environments.

This automation streamlines the process of testing, building, packaging, and deploying models, reducing the manual effort and potential for human error, thereby increasing efficiency and reliability. Further, the demand for CI/CD in ModelOps is driven by the need for agility and speed in deploying models into production. Machine learning models often undergo iterative improvements based on real-world data feedback and evolving business requirements. CI/CD pipelines allow teams to continuously integrate these updates into the operational environment, ensuring that the latest versions of models are always available without disrupting existing processes.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the ModelOps market.
  • By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
  • By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%
  • By Region: North America - 30%, Europe - 30%, Asia Pacific - 25%, Middle East & Africa - 10%, and Latin America - 5%
Major vendors offering modelOps solution and services across the globe are IBM (US), Google (US), Oracle (US), SAS Institute (US), AWS (US), Teradata (US), Palantir (US), Veritone (US), Altair (US), c3.ai (US), TIBCO (US), Databricks (US), Giggso (US), Verta (US), ModelOp (US), Comet ML (US), Superwise (Israel), Evidently Al (US), Minitab (US), Seldon (UK), Innominds (US), Datatron (US), Domino Data Lab (US), Arthur (US), Weights & Biases (US), Xenonstack (US), Cnvrg.io (Israel), DataKitchen (US), Haisten AI (US), Sparkling Logic (US), LeewayHertz (US).

Research Coverage

The market study covers modelOps across segments. It aims to estimate the market size and the growth potential across different segments, such as offering, model type, application, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall market for modelOps and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the market's pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (Exponential rise of unstructured data, Rise in digitalization trend), restraints (Discrepancy among data sources impedes the advancement of modelOps, Data Security and Privacy Concerns), opportunities (Empowering modelOps through SDN-enabled network integration, Growing integration of advanced analytical functionalities), and challenges (Rise in need for training and upskilling to address the knowledge gap, Issues related to complexity and diversity of data collected)
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new solutions & service launches in the ModelOps Market.
  • Market Development: Comprehensive information about lucrative markets - the report analyses the ModelOps Market across varied regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in ModelOps Market strategies; the report also helps stakeholders understand the pulse of the ModelOps Market and provides them with information on key market drivers, restraints, challenges, and opportunities.
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as IBM (US), Oracle (US), SAS Institute(US), Google (US), and AWS (US) among others, in the ModelOps Market.

Table of Contents

1 Introduction
1.1 Study Objectives
1.2 Market Definition
1.2.1 Inclusions and Exclusions
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.3.3 Years Considered
1.4 Currency Considered
1.5 Stakeholders
1.6 Recession Impact
2 Research Methodology
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup of Primary Interviews
2.1.2.2 Key Industry Insights
2.2 Data Triangulation
2.3 Market Size Estimation
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
2.4 Market Forecast
2.5 Research Assumptions
2.6 Research Limitations
2.7 Implication of Recession on Global Modelops Market
3 Executive Summary
4 Premium Insights
4.1 Attractive Opportunities for Players in Modelops Market
4.2 Overview of Recession in Modelops Market
4.3 Modelops Market, by Key Applications, 2024-2029
4.4 Modelops Market, by Key Model Types and Applications, 2024
4.5 Modelops Market, by Region, 2024
5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Integration of Modelops with Devops and Dataops
5.2.1.2 Rising Demand for Explainable AI (Xai)
5.2.1.3 Increasing Need to Address Model Drift with Modelops Solutions
5.2.1.4 Rising Demand for Automated Monitoring and Alerting Capabilities
5.2.2 Restraints
5.2.2.1 Shortage of Skilled Professionals
5.2.2.2 Model Interpretability and Explainability
5.2.3 Opportunities
5.2.3.1 Integration of Automated Continuous Integration/Continuous Deployment (Ci/Cd) Pipelines
5.2.3.2 Enhancements in Model Versioning and Lifecycle Management
5.2.4 Challenges
5.2.4.1 Difficulty in Managing Intricate Dependencies
5.2.4.2 Complexities of Integrating with Existing Systems
5.2.4.3 Disconnect Between Insights and Action
5.3 Case Study Analysis
5.3.1 Case Study 1: Scribd Accelerates Model Delivery Using Verta's Machine Learning Operations Platform
5.3.2 Case Study 2: Exscientia Shortens Model Monitoring and Preparation from Days to Hours
5.3.3 Case Study 3: Rbc Capital Markets Enhances Bond Trading Efficiency Using AI and Modelops Center
5.3.4 Case Study 4: M-Kopa Revolutionizes Model Management Process with Assistance of W&B
5.3.5 Case Study 5: Clearscape Analytics Expedites Development of Credit Risk Portfolio Models for Sicredi
5.3.6 Case Study 6: Enhancing ML Experiment Management at Uber with Comet
5.3.7 Case Study 7: Accelerated AI Integration for Enhanced Event Recommendations by Cnvrg.Io
5.4 Evolution of Modelops Market
5.5 Ecosystem Analysis
5.5.1 Platform Providers
5.5.2 Service Providers
5.5.3 End-users
5.5.4 Regulatory Bodies
5.6 Technology Analysis
5.6.1 Key Technologies
5.6.1.1 Artificial Intelligence
5.6.1.2 Cloud Computing
5.6.1.3 Knowledge Graphs
5.6.1.4 No Code
5.6.2 Adjacent Technologies
5.6.2.1 Big Data & Analytics
5.6.2.2 Edge Computing
5.7 Supply Chain Analysis
5.8 Regulatory Landscape
5.8.1 Regulatory Bodies, Government Agencies, and Other Organizations
5.8.2 Regulations: Modelops
5.8.2.1 North America
5.8.2.1.1 US
5.8.2.1.2 Canada
5.8.2.2 Europe
5.8.2.3 Asia-Pacific
5.8.2.3.1 Singapore
5.8.2.3.2 China
5.8.2.3.3 India
5.8.2.3.4 Japan
5.8.2.4 Middle East & Africa
5.8.2.4.1 UAE
5.8.2.4.2 Ksa
5.8.2.4.3 South Africa
5.8.2.5 Latin America
5.8.2.5.1 Brazil
5.8.2.5.2 Mexico
5.9 Patent Analysis
5.9.1 Methodology
5.9.2 Patents Filed, by Document Type
5.9.3 Innovations and Patent Applications
5.9.3.1 Patent Applicants
5.10 Key Conferences and Events, 2024-2025
5.11 Porter's Five Forces Analysis
5.11.1 Threat from New Entrants
5.11.2 Threat of Substitutes
5.11.3 Bargaining Power of Suppliers
5.11.4 Bargaining Power of Buyers
5.11.5 Intensity of Competitive Rivalry
5.12 Pricing Analysis
5.12.1 Average Selling Price Trend of Key Players, by Application
5.12.2 Indicative Pricing Analysis, by Offering
5.13 Trends/Disruptions Impacting Customer Business
5.14 Key Stakeholders and Buying Criteria
5.14.1 Key Stakeholders in Buying Process
5.14.2 Buying Criteria
5.15 Investment and Funding Scenario
5.16 Modelops vs. Mlops
5.17 Modelops Best Practices
6 Modelops Market, by Offering
6.1 Introduction
6.1.1 Offering: Modelops Market Drivers
6.2 Platforms
6.2.1 Optimizing Machine Learning Model Lifecycle Management with Modelops Platforms
6.2.2 Type
6.2.2.1 Development & Experimentation Platforms
6.2.2.2 Monitoring & Observability Tools
6.2.2.3 Automated Machine Learning (Automl) Platforms
6.2.2.4 Performance Tracking & Management Platforms
6.2.2.5 Model Explainability & Interpretability Tools
6.2.2.6 Serving & Deployment Tools
6.2.2.7 Others
6.2.3 Deployment Mode
6.2.3.1 Cloud
6.2.3.2 On-Premises
6.3 Services
6.3.1 Elevating Data Insights with Modelops Services
6.3.2 Consulting
6.3.3 Deployment & Integration
6.3.4 Support & Maintenance
7 Modelops Market, by Model Type
7.1 Introduction
7.1.1 Model Type: Modelops Market Drivers
7.2 ML Models
7.2.1 Segmenting, Forecasting, and Optimizing Modelops for Competitive Advantage
7.3 Graph-based Models
7.3.1 Graph-based Models Enhance Predictions and Decision-Making in Modelops
7.4 Rule & Heuristic Models
7.4.1 Optimizing Modelops with Rule-based, Heuristic, and Hybrid Models
7.5 Linguistic Models
7.5.1 Optimizing Linguistic Models for Efficient Nlp Deployment and Governance
7.6 Agent-based Models
7.6.1 Enhancing Strategic Decision-Making Through Advanced Agent-based Model Simulation
7.7 Bring Your Own Models
7.7.1 Maximizing Operational Efficiency Through Seamless Integration of Diverse AI Models
7.8 Other Model Types
8 Modelops Market, by Application
8.1 Introduction
8.1.1 Application: Modelops Market Drivers
8.2 Continuous Integration/Continuous Deployment
8.2.1 Implementation of Ci/Cd for Accelerated Deployment of Machine Learning Models in Modelops
8.3 Monitoring & Alerting
8.3.1 Enhancing Modelops with Reliable Monitoring & Alerting Services
8.4 Dashboard & Reporting
8.4.1 Dashboard and Reporting Enhance Operational Processes Surrounding Machine Learning Models
8.5 Model Lifecycle Management
8.5.1 Maximizing AI Value Through Effective Model Lifecycle Management
8.6 Governance, Risk, & Compliance
8.6.1 Implementation of Robust Governance, Risk, and Compliance (Grc) Framework in Modelops for Effective AI Model Management
8.7 Parallelization & Distributed Computing
8.7.1 Empowering AI/ML Scalability with Parallelization and Distributed Computing in Modelops
8.8 Batch Scoring
8.8.1 Enhancing Data-Driven Decision-Making with Batch Scoring in Modelops
8.9 Other Applications
9 Modelops Market, by Vertical
9.1 Introduction
9.1.1 Vertical: Modelops Market Drivers
9.2 Bfsi
9.2.1 Optimizing Modelops for Bfsi Sector Advancements
9.3 Telecommunications
9.3.1 Implementing Modelops for Enhanced Telecommunication Efficiency
9.4 Retail & Ecommerce
9.4.1 Streamlining AI and ML Deployment to Revolutionize Retail and Ecommerce Operations for Enhanced Efficiency and Customer Experience
9.5 Healthcare & Life Sciences
9.5.1 Enhancing Patient Outcomes and Medical Innovation Through Modelops in Healthcare and Life Sciences
9.6 Government & Defense
9.6.1 Governments Use Modelops to Apply Real-Time Analytics in Mission-Critical Scenarios
9.7 IT/ITeS
9.7.1 Implementing Modelops for Efficient AI/ML Lifecycle Management in IT/ITeS
9.8 Energy & Utilities
9.8.1 Implementing Modelops for Energy and Utilities Optimization
9.9 Manufacturing
9.9.1 Deploying Modelops for Enhanced Manufacturing Efficiency
9.10 Transportation & Logistics
9.10.1 Enhancing Efficiency and Safety Through Modelops in Transportation and Logistics
9.11 Other Verticals
10 Modelops Market, by Region
10.1 Introduction
10.2 North America
10.2.1 North America: Modelops Market Drivers
10.2.2 North America: Recession Impact
10.2.3 US
10.2.3.1 Widespread Adoption of AI and ML Technologies Across Industries to Drive Market
10.2.4 Canada
10.2.4.1 Rising Demand for AI and ML Solutions in Various Sectors to Drive Market
10.3 Europe
10.3.1 Europe: Modelops Market Drivers
10.3.2 Europe: Recession Impact
10.3.3 UK
10.3.3.1 Increasing AI Adoption Across Industries to Drive Market
10.3.4 Germany
10.3.4.1 Increasing Adoption of AI and ML Technologies to Drive Market
10.3.5 France
10.3.5.1 Rising Focus on Operationalizing AI and ML Models to Drive Market
10.3.6 Italy
10.3.6.1 Growing Integration of AI and ML Across Diverse Sectors to Drive Market
10.3.7 Spain
10.3.7.1 Increasing Reliance on Data-Driven Decision-Making Across Industries to Drive Market
10.3.8 Rest of Europe
10.4 Asia-Pacific
10.4.1 Asia-Pacific: Modelops Market Drivers
10.4.2 Asia-Pacific: Recession Impact
10.4.3 China
10.4.3.1 Rising Focus on Operationalizing AI Models and Enhancing Business Outcomes to Drive Market
10.4.4 Japan
10.4.4.1 Increasing Adoption of AI and ML Models in Various Industries to Drive Market
10.4.5 India
10.4.5.1 Rising Adoption of AI Technologies Across Sectors to Drive Market
10.4.6 South Korea
10.4.6.1 Increasing Adoption of AI Across Sectors to Drive Market
10.4.7 Australia & New Zealand
10.4.7.1 Growing Emphasis on Integrating AI Solutions to Enhance Operational Efficiency to Drive Market
10.4.8 Rest of Asia-Pacific
10.5 Middle East & Africa
10.5.1 Middle East & Africa: Modelops Market Drivers
10.5.2 Middle East & Africa: Recession Impact
10.5.3 UAE
10.5.3.1 Government Initiatives Toward Building Knowledge-based Economy to Drive Market
10.5.4 Ksa
10.5.4.1 Growing Emphasis on Digital Transformation and AI Integration Across Sectors to Drive Market
10.5.5 Qatar
10.5.5.1 Rising Adoption of AI and ML Technologies Across Sectors to Drive Market
10.5.6 Egypt
10.5.6.1 Increasing Investments by Companies to Operationalize AI and ML Models to Drive Market
10.5.7 South Africa
10.5.7.1 Growing Adoption of AI and Machine Learning Models in Various Sectors to Drive Market
10.5.8 Rest of Middle East & Africa
10.6 Latin America
10.6.1 Latin America: Modelops Market Drivers
10.6.2 Latin America: Recession Impact
10.6.3 Brazil
10.6.3.1 Technological Advancements and Regulatory Compliance to Drive Market
10.6.4 Mexico
10.6.4.1 Increasing Digital Transformation Efforts Across Industries to Drive Market
10.6.5 Argentina
10.6.5.1 Increasing Adoption of Machine Learning and AI Technologies in Various Sectors to Drive Market
10.6.6 Rest of Latin America
11 Competitive Landscape
11.1 Overview
11.2 Strategies Adopted by Key Players
11.3 Revenue Analysis
11.4 Market Share Analysis
11.4.1 Market Ranking Analysis
11.5 Product Comparative Analysis
11.6 Company Evaluation Matrix: Key Players, 2023
11.6.1 Stars
11.6.2 Emerging Leaders
11.6.3 Pervasive Players
11.6.4 Participants
11.6.5 Company Footprint: Key Players, 2023
11.6.5.1 Company Footprint
11.6.5.2 Offering Footprint
11.6.5.3 Application Footprint
11.6.5.4 Regional Footprint
11.6.5.5 Vertical Footprint
11.7 Company Evaluation Matrix: Start-Ups/SMEs, 2023
11.7.1 Progressive Companies
11.7.2 Responsive Companies
11.7.3 Dynamic Companies
11.7.4 Starting Blocks
11.7.5 Competitive Benchmarking: Start-Ups/SMEs, 2023
11.8 Competitive Scenarios and Trends
11.8.1 Product Launches & Enhancements
11.8.2 Deals
11.9 Company Valuation and Financial Metrics of Key Vendors
12 Company Profiles
12.1 Introduction
12.2 Key Players 228\
(Business Overview, Products/Solutions/Services Offered, Recent Developments, Analyst's View)*
12.2.1 IBM
12.2.2 Google
12.2.3 Sas Institute
12.2.4 Aws
12.2.5 Oracle
12.2.6 Teradata
12.2.7 Veritone
12.2.8 Altair
12.2.9 C3.AI
12.2.10 Palantir
12.2.11 Tibco Software
12.2.12 Domino Data Lab
12.2.13 Databricks
12.2.14 Giggso
12.2.15 Modelop
12.3 Other Players
12.3.1 Verta
12.3.2 Comet ML
12.3.3 Superwise
12.3.4 Evidently AI
12.3.5 Minitab
12.3.6 Seldon
12.3.7 Innominds
12.3.8 Datatron
12.3.9 Arthur AI
12.3.10 Weights & Biases
12.3.11 Xenonstack
12.3.12 Cnvrg.Io
12.3.13 Datakitchen
12.3.14 Haisten AI
12.3.15 Sparkling Logic
12.3.16 Leewayhertz
*Details on Business Overview, Products/Solutions/Services Offered, Recent Developments, Analyst's View Might Not be Captured in Case of Unlisted Companies.
13 Adjacent and Related Markets
13.1 Introduction
13.2 Mlops
13.2.1 Market Definition
13.2.2 Market Overview
13.2.2.1 Mlops Market, by Component
13.2.2.2 Mlops Market, by Deployment Mode
13.2.2.3 Mlops Market, by Organization Size
13.2.2.4 Mlops Market, by Vertical
13.2.2.5 Mlops Market, by Region
13.3 Artificial Intelligence (AI) Market
13.3.1 Market Definition
13.3.2 Market Overview
13.3.2.1 Artificial Intelligence (AI) Market, by Offering
13.3.2.2 Artificial Intelligence (AI) Market, by Hardware
13.3.2.3 Artificial Intelligence (AI) Market, by Software
13.3.2.4 Artificial Intelligence (AI) Market, by Services
13.3.2.5 Artificial Intelligence (AI) Market, by Technology
13.3.2.6 Artificial Intelligence (AI) Market, by Business Function
13.3.2.7 Artificial Intelligence (AI) Market, by Vertical
13.3.2.8 Artificial Intelligence (AI) Market, by Region
14 Appendix
14.1 Discussion Guide
14.2 Knowledgestore: The Subscription Portal
14.3 Customization Options
List of Tables
Table 1 USD Exchange Rate, 2020-2023
Table 2 Primary Interviews
Table 3 Factor Analysis
Table 4 Modelops Market and Growth Rate, 2019-2023 (USD Million, Y-O-Y%)
Table 5 Modelops Market and Growth Rate, 2024-2029 (USD Million, Y-O-Y%)
Table 6 Modelops Market: Ecosystem
Table 7 North America: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 8 Europe: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 9 Asia-Pacific: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 10 Middle East & Africa: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 11 Latin America: List of Regulatory Bodies, Government Agencies, and Other Organizations
Table 12 Patents Filed, by Document Type, 2020-2024
Table 13 Patent Owners in Modelops Market, 2020-2024
Table 14 Modelops Market: List of Patents Granted, 2023-2024
Table 15 Modelops Market: Detailed List of Conferences and Events, 2024-2025
Table 16 Modelops Market: Impact of Porter's Five Forces
Table 17 Average Selling Price of Key Players, by Applications
Table 18 Indicative Pricing of Modelops by Offerings
Table 19 Influence of Stakeholders on Buying Process for Top 3 Verticals
Table 20 Key Buying Criteria for Top 3 Verticals
Table 21 Modelops Market, by Offering, 2019-2023 (USD Million)
Table 22 Modelops Market, by Offering, 2024-2029 (USD Million)
Table 23 Modelops Market for Platforms, by Region, 2019-2023 (USD Million)
Table 24 Modelops Market for Platforms, by Region, 2024-2029 (USD Million)
Table 25 Modelops Market for Platforms, by Type, 2019-2023 (USD Million)
Table 26 Modelops Market for Platforms, by Type, 2024-2029 (USD Million)
Table 27 Development & Experimentation Platforms, by Region, 2019-2023 (USD Million)
Table 28 Development & Experimentation Platforms, by Region, 2024-2029 (USD Million)
Table 29 Monitoring & Observability Tools, by Region, 2019-2023 (USD Million)
Table 30 Monitoring & Observability Tools, by Region, 2024-2029 (USD Million)
Table 31 Automated Machine Learning (Automl) Platforms, by Region, 2019-2023 (USD Million)
Table 32 Automated Machine Learning (Automl) Platforms, by Region, 2024-2029 (USD Million)
Table 33 Performance Tracking & Management Platforms, by Region, 2019-2023 (USD Million)
Table 34 Performance Tracking & Management Platforms, by Region, 2024-2029 (USD Million)
Table 35 Model Explainability & Interpretability Tools, by Region, 2019-2023 (USD Million)
Table 36 Model Explainability & Interpretability Tools, by Region, 2024-2029 (USD Million)
Table 37 Serving & Deployment Tools, by Region, 2019-2023 (USD Million)
Table 38 Serving & Deployment Tools, by Region, 2024-2029 (USD Million)
Table 39 Modelops Market for Platforms, by Deployment Mode, 2019-2023 (USD Million)
Table 40 Modelops Market for Platforms, by Deployment Mode, 2024-2029 (USD Million)
Table 41 Cloud: Modelops Market for Platforms, by Region, 2019-2023 (USD Million)
Table 42 Cloud: Modelops Market for Platforms, by Region, 2024-2029 (USD Million)
Table 43 On-Premises: Modelops Market for Platforms, by Region, 2019-2023 (USD Million)
Table 44 On-Premises: Modelops Market for Platforms, by Region, 2024-2029 (USD Million)
Table 45 Modelops Market for Services, by Type, 2019-2023 (USD Million)
Table 46 Modelops Market for Services, by Type, 2024-2029 (USD Million)
Table 47 Modelops Market for Services, by Region, 2019-2023 (USD Million)
Table 48 Modelops Market for Services, by Region, 2024-2029 (USD Million)
Table 49 Consulting: Modelops Market for Services, by Region, 2019-2023 (USD Million)
Table 50 Consulting: Modelops Market for Services, by Region, 2024-2029 (USD Million)
Table 51 Deployment & Integration: Modelops Market for Services, by Region, 2019-2023 (USD Million)
Table 52 Deployment & Integration: Modelops Market for Services, by Region, 2024-2029 (USD Million)
Table 53 Support & Maintenance: Modelops Market for Services, by Region, 2019-2023 (USD Million)
Table 54 Support & Maintenance: Modelops Market for Services, by Region, 2024-2029 (USD Million)
Table 55 Modelops Market, by Model Type, 2019-2023 (USD Million)
Table 56 Modelops Market, by Model Type, 2024-2029 (USD Million)
Table 57 ML Models: Modelops Market, by Region, 2019-2023 (USD Million)
Table 58 ML Models: Modelops Market, by Region, 2024-2029 (USD Million)
Table 59 Graph-based Models: Modelops Market, by Region, 2019-2023 (USD Million)
Table 60 Graph-based Models: Modelops Market, by Region, 2024-2029 (USD Million)
Table 61 Rule & Heuristic Models: Modelops Market, by Region, 2019-2023 (USD Million)
Table 62 Rule & Heuristic Models: Modelops Market, by Region, 2024-2029 (USD Million)
Table 63 Linguistic Models: Modelops Market, by Region, 2019-2023 (USD Million)
Table 64 Linguistic Models: Modelops Market, by Region, 2024-2029 (USD Million)
Table 65 Agent-based Models: Modelops Market, by Region, 2019-2023 (USD Million)
Table 66 Agent-based Models: Modelops Market, by Region, 2024-2029 (USD Million)
Table 67 Bring Your Own Models: Modelops Market, by Region, 2019-2023 (USD Million)
Table 68 Bring Your Own Models: Modelops Market, by Region, 2024-2029 (USD Million)
Table 69 Other Model Types: Modelops Market, by Region, 2019-2023 (USD Million)
Table 70 Other Model Types: Modelops Market, by Region, 2024-2029 (USD Million)
Table 71 Modelops Market, by Application, 2019-2023 (USD Million)
Table 72 Modelops Market, by Application, 2024-2029 (USD Million)
Table 73 Continuous Integration/Continuous Deployment: Modelops Market, by Region, 2019-2023 (USD Million)
Table 74 Continuous Integration/Continuous Deployment: Modelops Market, by Region, 2024-2029 (USD Million)
Table 75 Monitoring & Alerting: Modelops Market, by Region, 2019-2023 (USD Million)
Table 76 Monitoring & Alerting: Modelops Market, by Region, 2024-2029 (USD Million)
Table 77 Dashboard & Reporting: Modelops Market, by Region, 2019-2023 (USD Million)
Table 78 Dashboard & Reporting: Modelops Market, by Region, 2024-2029 (USD Million)
Table 79 Model Lifecycle Management: Modelops Market, by Region, 2019-2023 (USD Million)
Table 80 Model Lifecycle Management: Modelops Market, by Region, 2024-2029 (USD Million)
Table 81 Governance, Risk, & Compliance: Modelops Market, by Region, 2019-2023 (USD Million)
Table 82 Governance, Risk, & Compliance: Modelops Market, by Region, 2024-2029 (USD Million)
Table 83 Parallelization & Distributed Computing: Modelops Market, by Region, 2019-2023 (USD Million)
Table 84 Parallelization & Distributed Computing: Modelops Market, by Region, 2024-2029 (USD Million)
Table 85 Batch Scoring: Modelops Market, by Region, 2019-2023 (USD Million)
Table 86 Batch Scoring: Modelops Market, by Region, 2024-2029 (USD Million)
Table 87 Other Applications: Modelops Market, by Region, 2019-2023 (USD Million)
Table 88 Other Applications: Modelops Market, by Region, 2024-2029 (USD Million)
Table 89 Modelops Market, by Vertical, 2019-2023 (USD Million)
Table 90 Modelops Market, by Vertical, 2024-2029 (USD Million)
Table 91 Banking, Financial Services, and Insurance: Use Cases
Table 92 Bfsi: Modelops Market, by Region, 2019-2023 (USD Million)
Table 93 Bfsi: Modelops Market, by Region, 2024-2029 (USD Million)
Table 94 Telecommunications: Use Cases
Table 95 Telecommunications: Modelops Market, by Region, 2019-2023 (USD Million)
Table 96 Telecommunications: Modelops Market, by Region, 2024-2029 (USD Million)
Table 97 Retail & Ecommerce: Use Cases
Table 98 Retail & Ecommerce: Modelops Market, by Region, 2019-2023 (USD Million)
Table 99 Retail & Ecommerce: Modelops Market, by Region, 2024-2029 (USD Million)
Table 100 Healthcare & Life Sciences: Use Cases
Table 101 Healthcare & Life Sciences: Modelops Market, by Region, 2019-2023 (USD Million)
Table 102 Healthcare & Life Sciences: Modelops Market, by Region, 2024-2029 (USD Million)
Table 103 Government & Defense: Use Cases
Table 104 Government & Defense: Modelops Market, by Region, 2019-2023 (USD Million)
Table 105 Government & Defense: Modelops Market, by Region, 2024-2029 (USD Million)
Table 106 IT/ITeS: Use Cases
Table 107 IT/ITeS: Modelops Market, by Region, 2019-2023 (USD Million)
Table 108 IT/ITeS: Modelops Market, by Region, 2024-2029 (USD Million)
Table 109 Energy & Utilities: Use Cases
Table 110 Energy & Utilities: Modelops Market, by Region, 2019-2023 (USD Million)
Table 111 Energy & Utilities: Modelops Market, by Region, 2024-2029 (USD Million)
Table 112 Manufacturing: Use Cases
Table 113 Manufacturing: Modelops Market, by Region, 2019-2023 (USD Million)
Table 114 Manufacturing: Modelops Market, by Region, 2024-2029 (USD Million)
Table 115 Transportation & Logistics: Use Cases
Table 116 Transportation & Logistics: Modelops Market, by Region, 2019-2023 (USD Million)
Table 117 Transportation & Logistics: Modelops Market, by Region, 2024-2029 (USD Million)
Table 118 Other Verticals: Use Cases
Table 119 Other Verticals: Modelops Market, by Region, 2019-2023 (USD Million)
Table 120 Other Verticals: Modelops Market, by Region, 2024-2029 (USD Million)
Table 121 Modelops Market, by Region, 2019-2023 (USD Million)
Table 122 Modelops Market, by Region, 2024-2029 (USD Million)
Table 123 North America: Modelops Market, by Offering, 2019-2023 (USD Million)
Table 124 North America: Modelops Market, by Offering, 2024-2029 (USD Million)
Table 125 North America: Modelops Market, by Type, 2019-2023 (USD Million)
Table 126 North America: Modelops Market, by Type, 2024-2029 (USD Million)
Table 127 North America: Modelops Market, by Service, 2019-2023 (USD Million)
Table 128 North America: Modelops Market, by Service, 2024-2029 (USD Million)
Table 129 North America: Modelops Market, by Deployment Mode, 2019-2023 (USD Million)
Table 130 North America: Modelops Market, by Deployment Mode, 2024-2029 (USD Million)
Table 131 North America: Modelops Market, by Model Type, 2019-2023 (USD Million)
Table 132 North America: Modelops Market, by Model Type, 2024-2029 (USD Million)
Table 133 North America: Modelops Market, by Application, 2019-2023 (USD Million)
Table 134 North America: Modelops Market, by Application, 2024-2029 (USD Million)
Table 135 North America: Modelops Market, by Vertical, 2019-2023 (USD Million)
Table 136 North America: Modelops Market, by Vertical, 2024-2029 (USD Million)
Table 137 North America: Modelops Market, by Country, 2019-2023 (USD Million)
Table 138 North America: Modelops Market, by Country, 2024-2029 (USD Million)
Table 139 US: Modelops Market, by Offering, 2019-2023 (USD Million)
Table 140 US: Modelops Market, by Offering, 2024-2029 (USD Million)
Table 141 US: Modelops Market, by Type, 2019-2023 (USD Million)
Table 142 US: Modelops Market, by Type, 2024-2029 (USD Million)
Table 143 US: Modelops Market, by Service, 2019-2023 (USD Million)
Table 144 US: Modelops Market, by Service, 2024-2029 (USD Million)
Table 145 US: Modelops Market, by Deployment Mode, 2019-2023 (USD Million)
Table 146 US: Modelops Market, by Deployment Mode, 2024-2029 (USD Million)
Table 147 Canada: Modelops Market, by Offering, 2019-2023 (USD Million)
Table 148 Canada: Modelops Market, by Offering, 2024-2029 (USD Million)
Table 149 Canada: Modelops Market, by Type, 2019-2023 (USD Million)
Table 150 Canada: Modelops Market, by Type, 2024-2029 (USD Million)
Table 151 Canada: Modelops Market, by Service, 2019-2023 (USD Million)
Table 152 Canada: Modelops Market, by Service, 2024-2029 (USD Million)
Table 153 Canada: Modelops Market, by Deployment Mode, 2019-2023 (USD Million)
Table 154 Canada: Modelops Market, by Deployment Mode, 2024-2029 (USD Million)
Table 155 Europe: Modelops Market, by Offering, 2019-2023 (USD Million)
Table 156 Europe: Modelops Market, by Offering, 2024-2029 (USD Million)
Table 157 Europe: Modelops Market, by Type, 2019-2023 (USD Million)
Table 158 Europe: Modelops Market, by Type, 2024-2029 (USD Million)
Table 159 Europe: Modelops Market, by Service, 2019-2023 (USD Million)
Table 160 Europe: Modelops Market, by Service, 2024-2029 (USD Million)
Table 161 Europe: Modelops Market, by Deployment Mode, 2019-2023 (USD Million)
Table 162 Europe: Modelops Market, by Deployment Mode, 2024-2029 (USD Million)
Table 163 Europe: Modelops Market, by Model Type, 2019-2023 (USD Million)
Table 164 Europe: Modelops Market, by Model Type, 2024-2029 (USD Million)
Table 165 Europe: Modelops Market, by Application, 2019-2023 (USD Million)
Table 166 Europe: Modelops Market, by Application, 2024-2029 (USD Million)
Table 167 Europe: Modelops Market, by Vertical, 2019-2023 (USD Million)
Table 168 Europe: Modelops Market, by Vertical, 2024-2029 (USD Million)
Table 169 Europe: Modelops Market, by Country, 2019-2023 (USD Million)
Table 170 Europe: Modelops Market, by Country, 2024-2029 (USD Million)
Table 171 UK: Modelops Market, by Offering, 2019-2023 (USD Million)
Table 172 UK: Modelops Market, by Offering, 2024-2029 (USD Million)
Table 173 UK: Modelops Market, by Type, 2019-2023 (USD Million)
Table 174 UK: Modelops Market, by Type, 2024-2029 (USD Million)
Table 175 UK: Modelops Market, by Service, 2019-2023 (USD Million)
Table 176 UK: Modelops Market, by Service, 2024-2029 (USD Million)
Table 177 UK: Modelops Market, by Deployment Mode, 2019-2023 (USD Million)
Table 178 UK: Modelops Market, by Deployment Mode, 2024-2029 (USD Million)
Table 179 Asia-Pacific: Modelops Market, by Offering, 2019-2023 (USD Million)
Table 180 Asia-Pacific: Modelops Market, by Offering, 2024-2029 (USD Million)
Table 181 Asia-Pacific: Modelops Market, by Type, 2019-2023 (USD Million)
Table 182 Asia-Pacific: Modelops Market, by Type, 2024-2029 (USD Million)
Table 183 Asia-Pacific: Modelops Market, by Service, 2019-2023 (USD Million)
Table 184 Asia-Pacific: Modelops Market, by Service, 2024-2029 (USD Million)
Table 185 Asia-Pacific: Modelops Market, by Deployment Mode, 2019-2023 (USD Million)
Table 186 Asia-Pacific: Modelops Market, by Deployment Mode, 2024-2029 (USD Million)
Table 187 Asia-Pacific: Modelops Market, by Model Type, 2019-2023 (USD Million)
Table 188 Asia-Pacific: Modelops Market, by Model Type, 2024-2029 (USD Million)
Table 189 Asia-Pacific: Modelops Market, by Application, 2019-2023 (USD Million)
Table 190 Asia-Pacific: Modelops Market, by Application, 2024-2029 (USD Million)
Table 191 Asia-Pacific: Modelops Market, by Vertical, 2019-2023 (USD Million)
Table 192 Asia-Pacific: Modelops Market, by Vertical, 2024-2029 (USD Million)
Table 193 Asia-Pacific: Modelops Market, by Country, 2019-2023 (USD Million)
Table 194 Asia-Pacific: Modelops Market, by Country, 2024-2029 (USD Million)
Table 195 China: Modelops Market, by Offering, 2019-2023 (USD Million)
Table 196 China: Modelops Market, by Offering, 2024-2029 (USD Million)
Table 197 China: Modelops Market, by Type, 2019-2023 (USD Million)
Table 198 China: Modelops Market, by Type, 2024-2029 (USD Million)
Table 199 China: Modelops Market, by Service, 2019-2023 (USD Million)
Table 200 China: Modelops Market, by Service, 2024-2029 (USD Million)
Table 201 China: Modelops Market, by Deployment Mode, 2019-2023 (USD Million)
Table 202 China: Modelops Market, by Deployment Mode, 2024-2029 (USD Million)
Table 203 Middle East & Africa: Modelops Market, by Offering, 2019-2023 (USD Million)
Table 204 Middle East & Africa: Modelops Market, by Offering, 2024-2029 (USD Million)
Table 205 Middle East & Africa: Modelops Market, by Type, 2019-2023 (USD Million)
Table 206 Middle East & Africa: Modelops Market, by Type, 2024-2029 (USD Million)
Table 207 Middle East & Africa: Modelops Market, by Service, 2019-2023 (USD Million)
Table 208 Middle East & Africa: Modelops Market, by Service, 2024-2029 (USD Million)
Table 209 Middle East & Africa: Modelops Market, by Deployment Mode, 2019-2023 (USD Million)
Table 210 Middle East & Africa: Modelops Market, by Deployment Mode, 2024-2029 (USD Million)
Table 211 Middle East & Africa: Modelops Market, by Model Type, 2019-2023 (USD Million)
Table 212 Middle East & Africa: Modelops Market, by Model Type, 2024-2029 (USD Million)
Table 213 Middle East & Africa: Modelops Market, by Application, 2019-2023 (USD Million)
Table 214 Middle East & Africa: Modelops Market, by Application, 2024-2029 (USD Million)
Table 215 Middle East & Africa: Modelops Market, by Vertical, 2019-2023 (USD Million)
Table 216 Middle East & Africa: Modelops Market, by Vertical, 2024-2029 (USD Million)
Table 217 Middle East & Africa: Modelops Market, by Country, 2019-2023 (USD Million)
Table 218 Middle East & Africa: Modelops Market, by Country, 2024-2029 (USD Million)
Table 219 Latin America: Modelops Market, by Offering, 2019-2023 (USD Million)
Table 220 Latin America: Modelops Market, by Offering, 2024-2029 (USD Million)
Table 221 Latin America: Modelops Market, by Type, 2019-2023 (USD Million)
Table 222 Latin America: Modelops Market, by Type, 2024-2029 (USD Million)
Table 223 Latin America: Modelops Market, by Service, 2019-2023 (USD Million)
Table 224 Latin America: Modelops Market, by Service, 2024-2029 (USD Million)
Table 225 Latin America: Modelops Market, by Deployment Mode, 2019-2023 (USD Million)
Table 226 Latin America: Modelops Market, by Deployment Mode, 2024-2029 (USD Million)
Table 227 Latin America: Modelops Market, by Model Type, 2019-2023 (USD Million)
Table 228 Latin America: Modelops Market, by Model Type, 2024-2029 (USD Million)
Table 229 Latin America: Modelops Market, by Application, 2019-2023 (USD Million)
Table 230 Latin America: Modelops Market, by Application, 2024-2029 (USD Million)
Table 231 Latin America: Modelops Market, by Vertical, 2019-2023 (USD Million)
Table 232 Latin America: Modelops Market, by Vertical, 2024-2029 (USD Million)
Table 233 Latin America: Modelops Market, by Country, 2019-2023 (USD Million)
Table 234 Latin America: Modelops Market, by Country, 2024-2029 (USD Million)
Table 235 Overview of Strategies Adopted by Key Modelops Vendors
Table 236 Modelops Market: Degree of Competition
Table 237 Modelops Market: Offering Footprint (12 Companies)
Table 238 Modelops Market: Application Footprint (12 Companies)
Table 239 Modelops Market: Regional Footprint (12 Companies)
Table 240 Modelops Market: Vertical Footprint (12 Companies)
Table 241 Modelops Market: Detailed List of Key Start-Ups/SMEs
Table 242 Modelops Market: Competitive Benchmarking of Key Start-Ups/SMEs
Table 243 Modelops Market: Product Launches & Enhancements, January 2022-May 2024
Table 244 Modelops Market: Deals, January 2022-May 2024
Table 245 IBM: Company Overview
Table 246 IBM: Products/Solutions/Services Offered
Table 247 IBM: Product Launches & Enhancements
Table 248 IBM: Deals
Table 249 Google: Company Overview
Table 250 Google: Products/Solutions/Services Offered
Table 251 Google: Product Launches & Enhancements
Table 252 Google: Deals
Table 253 Sas Institute: Company Overview
Table 254 Sas Institute: Products/Solutions/Services Offered
Table 255 Sas Institute: Product Launches & Enhancements
Table 256 Sas Institute: Deals
Table 257 Aws: Company Overview
Table 258 Aws: Products/Solutions/Services Offered
Table 259 Aws: Product Launches & Enhancements
Table 260 Aws: Deals
Table 261 Oracle: Company Overview
Table 262 Oracle: Products/Solutions/Services Offered
Table 263 Oracle: Product Launches & Enhancements
Table 264 Oracle: Deals
Table 265 Teradata: Company Overview
Table 266 Teradata: Products/Solutions/Services Offered
Table 267 Teradata: Product Launches & Enhancements
Table 268 Teradata: Deals
Table 269 Veritone: Company Overview
Table 270 Veritone: Products/Solutions/Services Offered
Table 271 Veritone: Product Launches & Enhancements
Table 272 Veritone: Deals
Table 273 Altair: Company Overview
Table 274 Altair: Products/Solutions/Services Offered
Table 275 Altair: Product Launches & Enhancements
Table 276 Altair: Deals
Table 277 C3.AI: Company Overview
Table 278 C3.AI: Products/Solutions/Services Offered
Table 279 C3.AI: Deals
Table 280 Palantir: Company Overview
Table 281 Palantir: Products/Solutions/Services Offered
Table 282 Palantir: Product Launches & Enhancements
Table 283 Palantir: Deals
Table 284 Tibco Software: Company Overview
Table 285 Tibco Software: Products/Solutions/Services Offered
Table 286 Tibco Software: Product Launches & Enhancements
Table 287 Domino Data Lab: Company Overview
Table 288 Domino Data Lab: Products/Solutions/Services Offered
Table 289 Domino Data Lab: Product Launches & Enhancements
Table 290 Domino Data Lab: Deals
Table 291 Mlops Market, by Component, 2018-2021 (USD Million)
Table 292 Mlops Market, by Component, 2022-2027 (USD Million)
Table 293 Mlops Market, by Deployment Mode, 2018-2021 (USD Million)
Table 294 Mlops Market, by Deployment Mode, 2022-2027 (USD Million)
Table 295 Mlops Market, by Organization Size, 2018-2021 (USD Million)
Table 296 Mlops Market, by Organization Size, 2022-2027 (USD Million)
Table 297 Mlops Market, by Vertical, 2018-2021 (USD Million)
Table 298 Mlops Market, by Vertical, 2022-2027 (USD Million)
Table 299 Mlops Market, by Region, 2018-2021 (USD Million)
Table 300 Mlops Market, by Region, 2022-2027 (USD Million)
Table 301 Artificial Intelligence Market, by Offering, 2019-2023 (USD Billion)
Table 302 Artificial Intelligence Market, by Offering, 2024-2030 (USD Billion)
Table 303 Artificial Intelligence Market, by Hardware, 2019-2023 (USD Billion)
Table 304 Artificial Intelligence Market, by Hardware, 2024-2030 (USD Billion)
Table 305 Software: Artificial Intelligence Market, by Type, 2019-2023 (USD Billion)
Table 306 Software: Artificial Intelligence Market, by Type, 2024-2030 (USD Billion)
Table 307 Artificial Intelligence Market, by Services, 2019-2023 (USD Billion)
Table 308 Artificial Intelligence Market, by Services, 2024-2030 (USD Billion)
Table 309 Artificial Intelligence Market, by Technology, 2019-2023 (USD Billion)
Table 310 Artificial Intelligence Market, by Technology, 2024-2030 (USD Billion)
Table 311 Artificial Intelligence Market, by Business Function, 2019-2023 (USD Billion)
Table 312 Artificial Intelligence Market, by Business Function, 2024-2030 (USD Billion)
Table 313 Artificial Intelligence Market, by Vertical, 2019-2023 (USD Billion)
Table 314 Artificial Intelligence Market, by Vertical, 2024-2030 (USD Billion)
Table 315 Artificial Intelligence Market, by Region, 2019-2023 (USD Billion)
Table 316 Artificial Intelligence Market, by Region, 2024-2030 (USD Billion)
List of Figures
Figure 1 Modelops Market: Research Design
Figure 2 Data Triangulation
Figure 3 Modelops Market: Top-Down and Bottom-Up Approaches
Figure 4 Approach 1 (Supply-Side): Revenue from Vendors of Modelops Platforms/Services
Figure 5 Approach 2 (Bottom-Up, Supply-Side): Collective Revenue from All Platforms/Services of Modelops
Figure 6 Approach 3 (Bottom-Up, Supply-Side): Market Estimation from All Platforms/Services and Corresponding Sources
Figure 7 Approach 4 (Bottom-Up, Demand-Side): Share of Modelops Market Through Overall Spending
Figure 8 Platforms Segment to Dominate Market in 2024
Figure 9 Monitoring & Observability Tools Segment to Lead Market in 2024
Figure 10 Cloud Segment to Account for Largest Market Share in 2024
Figure 11 Consulting Segment to Lead Market in 2024
Figure 12 ML Models Segment to Account for Largest Market Share in 2024
Figure 13 Continuous Integration/Continuous Deployment Segment to Lead Market in 2024
Figure 14 Bfsi Segment to Account for Largest Market Share in 2024
Figure 15 North America to Account for Largest Market Share in 2024
Figure 16 Growing Adoption of ML & AI Models to Maximize Modelops Potential to Drive Market
Figure 17 Modelops Market Size and Y-O-Y Growth Rate
Figure 18 Continuous Integration/Continuous Deployment Segment to Account for Largest Market Share from 2024 to 2029
Figure 19 ML Models and Continuous Integration/Continuous Deployment Segments to Account for Largest Market Share in 2024
Figure 20 North America to Dominate Market in 2024
Figure 21 Modelops Market: Drivers, Restraints, Opportunities, and Challenges
Figure 22 Evolution of Modelops Market
Figure 23 Key Players in Modelops Market Ecosystem
Figure 24 Modelops Market: Supply Chain Analysis
Figure 25 Number of Patents Granted to Vendors in Last 5 Years
Figure 26 Patent Applicants in Last 5 Years
Figure 27 Regional Analysis of Patents Granted, 2020-2024
Figure 28 Porter's Five Forces Analysis
Figure 29 Average Selling Price of Key Players, by Applications
Figure 30 Trends/Disruptions Impacting Customer Business
Figure 31 Influence of Stakeholders on Buying Process for Top 3 Verticals
Figure 32 Key Buying Criteria for Top 3 Verticals
Figure 33 Modelops Market: Investment and Funding Scenario (USD Million and Number of Funding Rounds)
Figure 34 Platforms Segment to Lead Market During Forecast Period
Figure 35 Monitoring & Observability Tools Segment to Lead Market During Forecast Period
Figure 36 Cloud Segment to Lead Market During Forecast Period
Figure 37 Consulting Segment to Lead Market During Forecast Period
Figure 38 Graph-based Models Segment to Register Highest CAGR During Forecast Period
Figure 39 Monitoring & Alerting Segment to Register Highest CAGR During Forecast Period
Figure 40 Bfsi Segment to Dominate Market from 2024 to 2029
Figure 41 North America to Lead Market During Forecast Period
Figure 42 India to Witness Fastest Growth During Forecast Period
Figure 43 North America: Modelops Market Snapshot
Figure 44 Asia-Pacific: Modelops Market Snapshot
Figure 45 Top 5 Players Dominated Market in Last 5 Years
Figure 46 Market Share Analysis for Key Players, 2023
Figure 47 Product Comparative Analysis
Figure 48 Modelops Market: Company Evaluation Matrix (Key Players), 2023
Figure 49 Modelops Market: Company Footprint (12 Companies)
Figure 50 Modelops Market: Company Evaluation Matrix (Start-Ups/SMEs), 2023
Figure 51 Company Valuation and Financial Metrics of Key Vendors
Figure 52 Year-To-Date (YTD) Price Total Return and Five-Year Stock Beta of Key Vendors
Figure 53 IBM: Company Snapshot
Figure 54 Google: Company Snapshot
Figure 55 Aws: Company Snapshot
Figure 56 Oracle: Company Snapshot
Figure 57 Teradata: Company Snapshot
Figure 58 Veritone: Company Snapshot
Figure 59 Altair: Company Snapshot
Figure 60 C3.AI: Company Snapshot
Figure 61 Palantir: Company Snapshot

Companies Mentioned

  • IBM
  • Google
  • Sas Institute
  • Aws
  • Oracle
  • Teradata
  • Veritone
  • Altair
  • C3.AI
  • Palantir
  • Tibco Software
  • Domino Data Lab
  • Databricks
  • Giggso
  • Modelop
  • Verta
  • Comet ML
  • Superwise
  • Evidently AI
  • Minitab
  • Seldon
  • Innominds
  • Datatron
  • Arthur AI
  • Weights & Biases
  • Xenonstack
  • Cnvrg.Io
  • Datakitchen
  • Haisten AI
  • Sparkling Logic
  • Leewayhertz

Table Information

Report AttributeDetails
No. of Pages310
PublishedJune 2024
Forecast Period2024 - 2029
Estimated Market Value ( USD ) in 2024 $ 5.4 Billion
Forecasted Market Value ( USD ) by 2029 $ 29.5 Billion
Compound Annual Growth Rate40.2%
Regions CoveredGlobal
No. of Companies Mentioned31

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