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Artificial Intelligence In Oncology Global Market Report 2024

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    Report

  • 175 Pages
  • February 2024
  • Region: Global
  • The Business Research Company
  • ID: 5933997
The artificial intelligence in oncology market size has grown exponentially in recent years. It will grow from $1.33 billion in 2023 to $1.78 billion in 2024 at a compound annual growth rate (CAGR) of 33.7%. The growth in the historic period can be attributed to an increase in cancer incidence, the proliferation of data in healthcare, optimization of clinical trials, the demand for personalized medicine, and enhanced efficiency in radiology and pathology.

The artificial intelligence in oncology market size is expected to see exponential growth in the next few years. It will grow to $5.63 billion in 2028 at a compound annual growth rate (CAGR) of 33.3%. The growth in the forecast period can be attributed to the integration with electronic health records (EHR), expanded applications in treatment decision support, patient engagement, education, regulatory support, and standardization. Major trends in the forecast period include the integration of natural language processing (NLP) in healthcare, utilization of AI in biomarker discovery, focus on explainable AI for clinical adoption, integration of AI in population health management, collaborations between AI developers and healthcare providers, and advancements in predictive analytics.

The growing incidence of cancer cases is anticipated to be a key driver propelling the expansion of the AI in oncology market. Cancer represents a multifaceted group of diseases characterized by the unregulated proliferation and division of abnormal cells within the body. The integration of AI into oncology stands to revolutionize cancer care, offering greater precision, personalization, and efficiency. For example, in 2023, a report from the American Cancer Society Inc., a US-based voluntary health organization, indicated an estimated increase in new cancer cases from 1.8 million to 1.9 million. Thus, the escalating occurrence of cancer cases fuels the growth of the AI in oncology market.

The increasing adoption of cloud-based applications and services within pharmaceutical companies is set to contribute significantly to the advancement of AI in the oncology market. The steady rise in the utilization of cloud-based applications and services in oncology stems from their manifold advantages. Cloud computing facilitates access and analysis of vast datasets, encompassing genomics, proteomics, metabolomics, transcriptomics, and clinical and epidemiological information. This has notably accelerated cancer research, particularly in the realm of precision medicine. For instance, a report from Pharmaceutical-technology.com in February 2022 highlighted a 50% increase in the adoption of cloud computing among pharmaceutical industry entities from the second quarter to the third quarter of 2021. Hence, the burgeoning adoption of cloud-based applications and services within pharmaceutical firms is poised to drive the AI in oncology market.

The growth of the AI in oncology market is impeded by the lack of standardization during the forecast period. In oncology, the absence of standardized practices and protocols acts as a barrier, restricting the widespread adoption of artificial intelligence (AI) in cancer diagnosis and treatment. The absence of consistent data formats and collection methodologies leads to interoperability challenges, hindering the seamless integration of AI into healthcare workflows. For example, as reported by the American Society of Clinical Oncology in June 2022, the development of AI models for cancer treatment faces significant challenges due to the lack of structured health data related to cancer and the absence of standardization. Thus, the absence of standardization hampers the growth of the AI in oncology market.

Leading companies in the AI in oncology market are concentrating on the development of innovative software, including cloud-based solutions, to enhance their effectiveness and deliver improved outcomes. Cloud-based software plays a pivotal role in AI applications within oncology, offering a scalable, adaptable, and accessible platform for processing and analyzing extensive volumes of medical data. For instance, in March 2023, Illumina Inc., a US-based biotechnology company, introduced Connected Insights, a novel cloud-based software designed for tertiary analysis in oncology applications. By integrating external knowledge bases, Connected Insights streamlines result interpretation and reporting from various assay types, empowering laboratories to expand their utilization of Next-Generation Sequencing (NGS) and accelerate the clinical reporting turnaround time.

In July 2021, Kheiron Medical Technologies, a healthcare technology company headquartered in the UK, specializing in leveraging artificial intelligence (AI) for enhanced breast cancer detection and diagnosis, formed a partnership with Atlas Medical LLC. This collaborative venture seeks to launch Mia, a breast cancer screening product engineered to aid radiologists in detecting cancer with greater precision. Mia offers AI-powered solutions proven to be valuable, empowering breast screening experts in their efforts to combat breast cancer. Atlas Medical LLC, based in the UAE, is a leading manufacturer of high-quality diagnostic kits and reagents.

Major companies operating in the artificial intelligence in oncology market report are Azra AI, IBM Corporation, Siemens Healthcare GmbH, Intel Corporation, GE HealthCare, NVIDIA Corporation, Digital Diagnostics Inc., ConcertAI Inc., PathAI Inc., Median Technologies SA, Kheiron Medical Technologies Ltd, Hampton Research Inc., Tempus Labs Inc., Paige AI Inc., Prognos Health Inc., Enlitic, Inspirata Inc., Berg LLC, Proscia Inc., Prognos Health Inc., Deep 6 AI Inc., Ibex Medical Analytics, Nanox Imaging Ltd., Zebra Medical Vision, Globavir Biosciences Inc.

North America was the largest region in the AI in oncology market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in oncology market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa The countries covered in the artificial intelligence in oncology market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence in oncology market consists of revenues earned by entities by providing services such as surgery, targeted therapy, and stem cell transplantation. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in the oncology market also includes sales of edge devices, storage devices, field-programmable gate arrays (FPGA), and tensor processing units (TPU). Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The key components of artificial intelligence in oncology encompass software solutions, hardware, and services. In the oncology field, software solutions leverage AI to enhance various aspects of cancer diagnosis, treatment, and research. These applications are relevant to different treatment types such as chemotherapy, radiotherapy, and immunotherapy, addressing various cancer types including breast cancer, lung cancer, prostate cancer, colorectal cancer, brain tumors, and others. The technology is utilized in applications such as cancer detection, drug discovery, and drug development, serving diverse end-users such as hospitals, diagnostic centers, pharmaceutical companies, research institutes, and others.

The artificial intelligence in oncology market research report is one of a series of new reports that provides artificial intelligence in oncology market statistics, including artificial intelligence in the oncology industry global market size, regional shares, competitors with artificial intelligence in oncology market share, detailed artificial intelligence in oncology market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in oncology industry. This artificial intelligence in oncology market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


This product will be delivered within 3-5 business days.

Table of Contents

1. Executive Summary2. Artificial Intelligence in Oncology Market Characteristics3. Artificial Intelligence in Oncology Market Trends and Strategies
4. Artificial Intelligence in Oncology Market - Macro Economic Scenario
4.1. Impact of High Inflation on the Market
4.2. Ukraine-Russia War Impact on the Market
4.3. COVID-19 Impact on the Market
5. Global Artificial Intelligence in Oncology Market Size and Growth
5.1. Global Artificial Intelligence in Oncology Market Drivers and Restraints
5.1.1. Drivers of the Market
5.1.2. Restraints of the Market
5.2. Global Artificial Intelligence in Oncology Historic Market Size and Growth, 2018-2023, Value ($ Billion)
5.3. Global Artificial Intelligence in Oncology Forecast Market Size and Growth, 2023-2028, 2033F, Value ($ Billion)
6. Artificial Intelligence in Oncology Market Segmentation
6.1. Global Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Software Solutions
  • Hardware
  • Services
6.2. Global Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Chemotherapy
  • Radiotherapy
  • Immunotherapy
  • Other Treatment Types
6.3. Global Artificial Intelligence in Oncology Market, Segmentation by Cancer Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Breast Cancer
  • Lung Cancer
  • Prostate Cancer
  • Colorectal Cancer
  • Brain Tumor
  • Other Cancer Types
6.4. Global Artificial Intelligence in Oncology Market, Segmentation by Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Cancer Detection
  • Drug Discovery
  • Drug Development
  • Other Applications
6.5. Global Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Hospitals
  • Diagnostic Centers
  • Pharmaceutical Companies
  • Research Institutes
  • Other End Users
7. Artificial Intelligence in Oncology Market Regional and Country Analysis
7.1. Global Artificial Intelligence in Oncology Market, Split by Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
7.2. Global Artificial Intelligence in Oncology Market, Split by Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8. Asia-Pacific Artificial Intelligence in Oncology Market
8.1. Asia-Pacific Artificial Intelligence in Oncology Market Overview
Region Information, Impact of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.3. Asia-Pacific Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.4. Asia-Pacific Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
9. China Artificial Intelligence in Oncology Market
9.1. China Artificial Intelligence in Oncology Market Overview
9.2. China Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.3. China Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.4. China Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
10. India Artificial Intelligence in Oncology Market
10.1. India Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.2. India Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.3. India Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11. Japan Artificial Intelligence in Oncology Market
11.1. Japan Artificial Intelligence in Oncology Market Overview
11.2. Japan Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.3. Japan Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.4. Japan Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12. Australia Artificial Intelligence in Oncology Market
12.1. Australia Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.2. Australia Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.3. Australia Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13. Indonesia Artificial Intelligence in Oncology Market
13.1. Indonesia Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.2. Indonesia Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.3. Indonesia Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14. South Korea Artificial Intelligence in Oncology Market
14.1. South Korea Artificial Intelligence in Oncology Market Overview
14.2. South Korea Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.3. South Korea Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.4. South Korea Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15. Western Europe Artificial Intelligence in Oncology Market
15.1. Western Europe Artificial Intelligence in Oncology Market Overview
15.2. Western Europe Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.3. Western Europe Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.4. Western Europe Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16. UK Artificial Intelligence in Oncology Market
16.1. UK Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.2. UK Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.3. UK Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17. Germany Artificial Intelligence in Oncology Market
17.1. Germany Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.2. Germany Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.3. Germany Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18. France Artificial Intelligence in Oncology Market
18.5. France Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.6. France Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.7. France Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19. Italy Artificial Intelligence in Oncology Market
19.9. Italy Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.10. Italy Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.11. Italy Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20. Spain Artificial Intelligence in Oncology Market
20.13. Spain Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.14. Spain Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.15. Spain Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21. Eastern Europe Artificial Intelligence in Oncology Market
21.1. Eastern Europe Artificial Intelligence in Oncology Market Overview
21.2. Eastern Europe Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.3. Eastern Europe Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.4. Eastern Europe Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22. Russia Artificial Intelligence in Oncology Market
22.1. Russia Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.2. Russia Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.3. Russia Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23. North America Artificial Intelligence in Oncology Market
23.1. North America Artificial Intelligence in Oncology Market Overview
23.2. North America Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.3. North America Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.4. North America Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24. USA Artificial Intelligence in Oncology Market
24.1. USA Artificial Intelligence in Oncology Market Overview
24.2. USA Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.3. USA Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.4. USA Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25. Canada Artificial Intelligence in Oncology Market
25.1. Canada Artificial Intelligence in Oncology Market Overview
25.2. Canada Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.3. Canada Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.4. Canada Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26. South America Artificial Intelligence in Oncology Market
26.1. South America Artificial Intelligence in Oncology Market Overview
26.2. South America Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.3. South America Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.4. South America Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27. Brazil Artificial Intelligence in Oncology Market
27.1. Brazil Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.2. Brazil Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.3. Brazil Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28. Middle East Artificial Intelligence in Oncology Market
28.1. Middle East Artificial Intelligence in Oncology Market Overview
28.2. Middle East Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.3. Middle East Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.4. Middle East Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29. Africa Artificial Intelligence in Oncology Market
29.1. Africa Artificial Intelligence in Oncology Market Overview
29.2. Africa Artificial Intelligence in Oncology Market, Segmentation by Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.3. Africa Artificial Intelligence in Oncology Market, Segmentation by Treatment Type, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.4. Africa Artificial Intelligence in Oncology Market, Segmentation by End-Users, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
30. Artificial Intelligence in Oncology Market Competitive Landscape and Company Profiles
30.1. Artificial Intelligence in Oncology Market Competitive Landscape
30.2. Artificial Intelligence in Oncology Market Company Profiles
30.2.1. Azra AI
30.2.1.1. Overview
30.2.1.2. Products and Services
30.2.1.3. Strategy
30.2.1.4. Financial Performance
30.2.2. IBM Corporation
30.2.2.1. Overview
30.2.2.2. Products and Services
30.2.2.3. Strategy
30.2.2.4. Financial Performance
30.2.3. Siemens Healthcare GmbH
30.2.3.1. Overview
30.2.3.2. Products and Services
30.2.3.3. Strategy
30.2.3.4. Financial Performance
30.2.4. Intel Corporation
30.2.4.1. Overview
30.2.4.2. Products and Services
30.2.4.3. Strategy
30.2.4.4. Financial Performance
30.2.5. GE HealthCare
30.2.5.1. Overview
30.2.5.2. Products and Services
30.2.5.3. Strategy
30.2.5.4. Financial Performance
31. Artificial Intelligence in Oncology Market Other Major and Innovative Companies
31.1. NVIDIA Corporation
31.2. Digital Diagnostics Inc.
31.3. ConcertAI Inc.
31.4. PathAI Inc.
31.5. Median Technologies SA
31.6. Kheiron Medical Technologies Ltd
31.7. Hampton Research Inc.
31.8. Tempus Labs Inc.
31.9. Paige AI Inc.
31.10. Prognos Health Inc.
31.11. Enlitic
31.12. Inspirata Inc.
31.13. Berg LLC
31.14. Proscia Inc.
31.15. Prognos Health Inc.
32. Global Artificial Intelligence in Oncology Market Competitive Benchmarking33. Global Artificial Intelligence in Oncology Market Competitive Dashboard34. Key Mergers and Acquisitions in the Artificial Intelligence in Oncology Market
35. Artificial Intelligence in Oncology Market Future Outlook and Potential Analysis
35.1 Artificial Intelligence in Oncology Market in 2028 - Countries Offering Most New Opportunities
35.2 Artificial Intelligence in Oncology Market in 2028 - Segments Offering Most New Opportunities
35.3 Artificial Intelligence in Oncology Market in 2028 - Growth Strategies
35.3.1 Market Trend-based Strategies
35.3.2 Competitor Strategies
36. Appendix
36.1. Abbreviations
36.2. Currencies
36.3. Historic and Forecast Inflation Rates
36.4. Research Inquiries
36.5. About the Analyst
36.6. Copyright and Disclaimer

Executive Summary

Artificial Intelligence In Oncology Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence in oncology market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia-Ukraine war’s impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Description

Where is the largest and fastest growing market for artificial intelligence in oncology? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? This report answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:
  • The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
  • The impact of higher inflation in many countries and the resulting spike in interest rates.
  • The continued but declining impact of COVID-19 on supply chains and consumption patterns.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:
1) By Component: Software Solutions; Hardware; Services
2) By Treatment Type: Chemotherapy; Radiotherapy; Immunotherapy; Other Treatment Types
3) By Cancer Type: Breast Cancer; Lung Cancer; Prostate Cancer; Colorectal Cancer; Brain Tumor; Other Cancer Types
4) By Application: Cancer Detection; Drug Discovery; Drug Development; Other Applications
5) By End-Users: Hospitals; Diagnostic Centers; Pharmaceutical Companies; Research Institutes; Other End Users

Key Companies Mentioned: Azra AI; IBM Corporation; Siemens Healthcare GmbH; Intel Corporation; GE HealthCare

Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain

Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa

Time Series: Five years historic and ten years forecast

Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita

Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments

Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes

Delivery Format: PDF, Word and Excel Data Dashboard

Methodology

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