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Global AI In Oncology Market Research Report 2025
Synopsis
The application of AI in cancer practice includes providing clinical decision support for cancer diagnosis and screening, processing medical data for cancer detection or characterization of patient prognosis, and optimizing care delivery and clinical operations by increasing system capacity and allocating resources.
Highlights
The global AI In Oncology market is projected to reach US$ million by 2028 from an estimated US$ million in 2022, at a CAGR of % during 2023 and 2028.
Artificial intelligence(AI) in oncology helps in faster and accurate diagnosis of cancer which helps to deliver better patient outcomes and this is anticipated to drive the growth of the market during the forecast period. Growing advancements in the healthcare infrastructure and the increasing prevalence of cancer are some of the key factors that are projected to drive market growth during the forecast period.
Considering the economic change due to COVID-19, Software Solutions, which accounted for % of the global market of AI In Oncology in 2021, is expected to reach US$ million by 2028, growing at a revised CAGR of % from 2022 to 2028.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI In Oncology, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI In Oncology.
The AI In Oncology market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2021 as the base year, with history and forecast data for the period from 2017 to 2028. This report segments the global AI In Oncology market comprehensively. Regional market sizes, concerning products by types, by application, and by players, are also provided. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI In Oncology companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, product type, application, and regions.
Key Companies & Market Share Insights
In this section, the readers will gain an understanding of the key players competing. This report has studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue by companies for the period 2017-2022. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses. Some of the prominent players reviewed in the research report include:
Azra AI
IBM
Siemens Healthineers
Intel
GE Healthcare
NVIDIA
Digital Diagnostics Inc.
Concert.AI
Median Technologies
Path AI
Product Type Insights
Global markets are presented by AI In Oncology type, along with growth forecasts through 2028. Estimates on revenue are based on the price in the supply chain at which the AI In Oncology are procured by the companies.
This report has studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows revenue data by type, and during the historical period (2017-2022) and forecast period (2023-2028).
AI In Oncology segment by Type
Software Solutions
Hardware
Services
Application Insights
This report has provided the market size (revenue data) by application, during the historical period (2017-2022) and forecast period (2023-2028).
This report also outlines the market trends of each segment and consumer behaviors impacting the AI In Oncology market and what implications these may have on the industry's future. This report can help to understand the relevant market and consumer trends that are driving the AI In Oncology market.
AI In Oncology Segment by Application
Breast Cancer
Lung Cancer
Prostate Cancer
Colorectal Cancer
Brain Tumor
Others
Regional Outlook
This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue data of each region and country for the period 2017-2028.
The market has been segmented into various major geographies, including North America, Europe, Asia-Pacific, South America, Middle East & Africa. Detailed analysis of major countries such as the USA, Germany, the U.K., Italy, France, China, Japan, South Korea, Southeast Asia, and India will be covered within the regional segment. For market estimates, data are going to be provided for 2021 because of the base year, with estimates for 2022 and forecast revenue for 2028.
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
COVID-19 and Russia-Ukraine War Influence Analysis
The readers in the section will understand how the AI In Oncology market scenario changed across the globe during the pandemic, post-pandemic and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transportation, consumer behavior, supply chain management. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come.
Reasons to Buy This Report
This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI In Oncology market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
This report will help stakeholders to understand the global industry status and trends of AI In Oncology and provides them with information on key market drivers, restraints, challenges, and opportunities.
This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
This report stays updated with novel technology integration, features, and the latest developments in the market
This report helps stakeholders to understand the COVID-19 and Russia-Ukraine War Influence on the AI In Oncology industry.
This report helps stakeholders to gain insights into which regions to target globally
This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI In Oncology.
This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI In Oncology companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
The application of AI in cancer practice includes providing clinical decision support for cancer diagnosis and screening, processing medical data for cancer detection or characterization of patient prognosis, and optimizing care delivery and clinical operations by increasing system capacity and allocating resources.
Highlights
The global AI In Oncology market is projected to reach US$ million by 2028 from an estimated US$ million in 2022, at a CAGR of % during 2023 and 2028.
Artificial intelligence(AI) in oncology helps in faster and accurate diagnosis of cancer which helps to deliver better patient outcomes and this is anticipated to drive the growth of the market during the forecast period. Growing advancements in the healthcare infrastructure and the increasing prevalence of cancer are some of the key factors that are projected to drive market growth during the forecast period.
Considering the economic change due to COVID-19, Software Solutions, which accounted for % of the global market of AI In Oncology in 2021, is expected to reach US$ million by 2028, growing at a revised CAGR of % from 2022 to 2028.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI In Oncology, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI In Oncology.
The AI In Oncology market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2021 as the base year, with history and forecast data for the period from 2017 to 2028. This report segments the global AI In Oncology market comprehensively. Regional market sizes, concerning products by types, by application, and by players, are also provided. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI In Oncology companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, product type, application, and regions.
Key Companies & Market Share Insights
In this section, the readers will gain an understanding of the key players competing. This report has studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue by companies for the period 2017-2022. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses. Some of the prominent players reviewed in the research report include:
Azra AI
IBM
Siemens Healthineers
Intel
GE Healthcare
NVIDIA
Digital Diagnostics Inc.
Concert.AI
Median Technologies
Path AI
Product Type Insights
Global markets are presented by AI In Oncology type, along with growth forecasts through 2028. Estimates on revenue are based on the price in the supply chain at which the AI In Oncology are procured by the companies.
This report has studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows revenue data by type, and during the historical period (2017-2022) and forecast period (2023-2028).
AI In Oncology segment by Type
Software Solutions
Hardware
Services
Application Insights
This report has provided the market size (revenue data) by application, during the historical period (2017-2022) and forecast period (2023-2028).
This report also outlines the market trends of each segment and consumer behaviors impacting the AI In Oncology market and what implications these may have on the industry's future. This report can help to understand the relevant market and consumer trends that are driving the AI In Oncology market.
AI In Oncology Segment by Application
Breast Cancer
Lung Cancer
Prostate Cancer
Colorectal Cancer
Brain Tumor
Others
Regional Outlook
This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue data of each region and country for the period 2017-2028.
The market has been segmented into various major geographies, including North America, Europe, Asia-Pacific, South America, Middle East & Africa. Detailed analysis of major countries such as the USA, Germany, the U.K., Italy, France, China, Japan, South Korea, Southeast Asia, and India will be covered within the regional segment. For market estimates, data are going to be provided for 2021 because of the base year, with estimates for 2022 and forecast revenue for 2028.
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
COVID-19 and Russia-Ukraine War Influence Analysis
The readers in the section will understand how the AI In Oncology market scenario changed across the globe during the pandemic, post-pandemic and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transportation, consumer behavior, supply chain management. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come.
Reasons to Buy This Report
This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI In Oncology market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
This report will help stakeholders to understand the global industry status and trends of AI In Oncology and provides them with information on key market drivers, restraints, challenges, and opportunities.
This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
This report stays updated with novel technology integration, features, and the latest developments in the market
This report helps stakeholders to understand the COVID-19 and Russia-Ukraine War Influence on the AI In Oncology industry.
This report helps stakeholders to gain insights into which regions to target globally
This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI In Oncology.
This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI In Oncology companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments according to application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI In Oncology Market Size Growth Rate by Type: 2017 VS 2021 VS 2028
1.2.2 Software Solutions
1.2.3 Hardware
1.2.4 Services
1.3 Market by Application
1.3.1 Global AI In Oncology Market Share by Application: 2017 VS 2021 VS 2028
1.3.2 Breast Cancer
1.3.3 Lung Cancer
1.3.4 Prostate Cancer
1.3.5 Colorectal Cancer
1.3.6 Brain Tumor
1.3.7 Others
1.4 Study Objectives
1.5 Years Considered
2 Global Growth Trends
2.1 Global AI In Oncology Market Perspective (2017-2028)
2.2 AI In Oncology Growth Trends by Region
2.2.1 AI In Oncology Market Size by Region: 2017 VS 2021 VS 2028
2.2.2 AI In Oncology Historic Market Size by Region (2017-2022)
2.2.3 AI In Oncology Forecasted Market Size by Region (2023-2028)
2.3 AI In Oncology Market Dynamics
2.3.1 AI In Oncology Industry Trends
2.3.2 AI In Oncology Market Drivers
2.3.3 AI In Oncology Market Challenges
2.3.4 AI In Oncology Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI In Oncology Players by Revenue
3.1.1 Global Top AI In Oncology Players by Revenue (2017-2022)
3.1.2 Global AI In Oncology Revenue Market Share by Players (2017-2022)
3.2 Global AI In Oncology Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI In Oncology Revenue
3.4 Global AI In Oncology Market Concentration Ratio
3.4.1 Global AI In Oncology Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI In Oncology Revenue in 2021
3.5 AI In Oncology Key Players Head office and Area Served
3.6 Key Players AI In Oncology Product Solution and Service
3.7 Date of Enter into AI In Oncology Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI In Oncology Breakdown Data by Type
4.1 Global AI In Oncology Historic Market Size by Type (2017-2022)
4.2 Global AI In Oncology Forecasted Market Size by Type (2023-2028)
5 AI In Oncology Breakdown Data by Application
5.1 Global AI In Oncology Historic Market Size by Application (2017-2022)
5.2 Global AI In Oncology Forecasted Market Size by Application (2023-2028)
6 North America
6.1 North America AI In Oncology Market Size (2017-2028)
6.2 North America AI In Oncology Market Size by Country (2017-2022)
6.3 North America AI In Oncology Market Size by Country (2023-2028)
6.4 United States
6.5 Canada
7 Europe
7.1 Europe AI In Oncology Market Size (2017-2028)
7.2 Europe AI In Oncology Market Size by Country (2017-2022)
7.3 Europe AI In Oncology Market Size by Country (2023-2028)
7.4 Germany
7.5 France
7.6 U.K.
7.7 Italy
7.8 Russia
7.9 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI In Oncology Market Size (2017-2028)
8.2 Asia-Pacific AI In Oncology Market Size by Country (2017-2022)
8.3 Asia-Pacific AI In Oncology Market Size by Country (2023-2028)
8.4 China
8.5 Japan
8.6 South Korea
8.7 Southeast Asia
8.8 India
8.9 Australia
9 Latin America
9.1 Latin America AI In Oncology Market Size (2017-2028)
9.2 Latin America AI In Oncology Market Size by Country (2017-2022)
9.3 Latin America AI In Oncology Market Size by Country (2023-2028)
9.4 Mexico
9.5 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI In Oncology Market Size (2017-2028)
10.2 Middle East & Africa AI In Oncology Market Size by Country (2017-2022)
10.3 Middle East & Africa AI In Oncology Market Size by Country (2023-2028)
10.4 Turkey
10.5 Saudi Arabia
10.6 UAE
11 Key Players Profiles
11.1 Azra AI
11.1.1 Azra AI Company Detail
11.1.2 Azra AI Business Overview
11.1.3 Azra AI AI In Oncology Introduction
11.1.4 Azra AI Revenue in AI In Oncology Business (2017-2022)
11.1.5 Azra AI Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM AI In Oncology Introduction
11.2.4 IBM Revenue in AI In Oncology Business (2017-2022)
11.2.5 IBM Recent Development
11.3 Siemens Healthineers
11.3.1 Siemens Healthineers Company Detail
11.3.2 Siemens Healthineers Business Overview
11.3.3 Siemens Healthineers AI In Oncology Introduction
11.3.4 Siemens Healthineers Revenue in AI In Oncology Business (2017-2022)
11.3.5 Siemens Healthineers Recent Development
11.4 Intel
11.4.1 Intel Company Detail
11.4.2 Intel Business Overview
11.4.3 Intel AI In Oncology Introduction
11.4.4 Intel Revenue in AI In Oncology Business (2017-2022)
11.4.5 Intel Recent Development
11.5 GE Healthcare
11.5.1 GE Healthcare Company Detail
11.5.2 GE Healthcare Business Overview
11.5.3 GE Healthcare AI In Oncology Introduction
11.5.4 GE Healthcare Revenue in AI In Oncology Business (2017-2022)
11.5.5 GE Healthcare Recent Development
11.6 NVIDIA
11.6.1 NVIDIA Company Detail
11.6.2 NVIDIA Business Overview
11.6.3 NVIDIA AI In Oncology Introduction
11.6.4 NVIDIA Revenue in AI In Oncology Business (2017-2022)
11.6.5 NVIDIA Recent Development
11.7 Digital Diagnostics Inc.
11.7.1 Digital Diagnostics Inc. Company Detail
11.7.2 Digital Diagnostics Inc. Business Overview
11.7.3 Digital Diagnostics Inc. AI In Oncology Introduction
11.7.4 Digital Diagnostics Inc. Revenue in AI In Oncology Business (2017-2022)
11.7.5 Digital Diagnostics Inc. Recent Development
11.8 Concert.AI
11.8.1 Concert.AI Company Detail
11.8.2 Concert.AI Business Overview
11.8.3 Concert.AI AI In Oncology Introduction
11.8.4 Concert.AI Revenue in AI In Oncology Business (2017-2022)
11.8.5 Concert.AI Recent Development
11.9 Median Technologies
11.9.1 Median Technologies Company Detail
11.9.2 Median Technologies Business Overview
11.9.3 Median Technologies AI In Oncology Introduction
11.9.4 Median Technologies Revenue in AI In Oncology Business (2017-2022)
11.9.5 Median Technologies Recent Development
11.10 Path AI
11.10.1 Path AI Company Detail
11.10.2 Path AI Business Overview
11.10.3 Path AI AI In Oncology Introduction
11.10.4 Path AI Revenue in AI In Oncology Business (2017-2022)
11.10.5 Path AI Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
List of TablesList of Tables
Table 1. Global AI In Oncology Market Size Growth Rate by Type (US$ Million): 2017 VS 2021 VS 2028
Table 2. Key Players of Software Solutions
Table 3. Key Players of Hardware
Table 4. Key Players of Services
Table 5. Global AI In Oncology Market Size Growth by Application (US$ Million): 2017 VS 2021 VS 2028
Table 6. Global AI In Oncology Market Size by Region (US$ Million): 2017 VS 2021 VS 2028
Table 7. Global AI In Oncology Market Size by Region (2017-2022) & (US$ Million)
Table 8. Global AI In Oncology Market Share by Region (2017-2022)
Table 9. Global AI In Oncology Forecasted Market Size by Region (2023-2028) & (US$ Million)
Table 10. Global AI In Oncology Market Share by Region (2023-2028)
Table 11. AI In Oncology Market Trends
Table 12. AI In Oncology Market Drivers
Table 13. AI In Oncology Market Challenges
Table 14. AI In Oncology Market Restraints
Table 15. Global AI In Oncology Revenue by Players (2017-2022) & (US$ Million)
Table 16. Global AI In Oncology Market Share by Players (2017-2022)
Table 17. Global Top AI In Oncology Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI In Oncology as of 2021)
Table 18. Ranking of Global Top AI In Oncology Companies by Revenue (US$ Million) in 2021
Table 19. Global 5 Largest Players Market Share by AI In Oncology Revenue (CR5 and HHI) & (2017-2022)
Table 20. Key Players Headquarters and Area Served
Table 21. Key Players AI In Oncology Product Solution and Service
Table 22. Date of Enter into AI In Oncology Market
Table 23. Mergers & Acquisitions, Expansion Plans
Table 24. Global AI In Oncology Market Size by Type (2017-2022) & (US$ Million)
Table 25. Global AI In Oncology Revenue Market Share by Type (2017-2022)
Table 26. Global AI In Oncology Forecasted Market Size by Type (2023-2028) & (US$ Million)
Table 27. Global AI In Oncology Revenue Market Share by Type (2023-2028)
Table 28. Global AI In Oncology Market Size by Application (2017-2022) & (US$ Million)
Table 29. Global AI In Oncology Revenue Market Share by Application (2017-2022)
Table 30. Global AI In Oncology Forecasted Market Size by Application (2023-2028) & (US$ Million)
Table 31. Global AI In Oncology Revenue Market Share by Application (2023-2028)
Table 32. North America AI In Oncology Market Size by Country (2017-2022) & (US$ Million)
Table 33. North America AI In Oncology Market Size by Country (2023-2028) & (US$ Million)
Table 34. Europe AI In Oncology Market Size by Country (2017-2022) & (US$ Million)
Table 35. Europe AI In Oncology Market Size by Country (2023-2028) & (US$ Million)
Table 36. Asia-Pacific AI In Oncology Market Size by Region (2017-2022) & (US$ Million)
Table 37. Asia-Pacific AI In Oncology Market Size by Region (2023-2028) & (US$ Million)
Table 38. Latin America AI In Oncology Market Size by Country (2017-2022) & (US$ Million)
Table 39. Latin America AI In Oncology Market Size by Country (2023-2028) & (US$ Million)
Table 40. Middle East & Africa AI In Oncology Market Size by Country (2017-2022) & (US$ Million)
Table 41. Middle East & Africa AI In Oncology Market Size by Country (2023-2028) & (US$ Million)
Table 42. Azra AI Company Detail
Table 43. Azra AI Business Overview
Table 44. Azra AI AI In Oncology Product
Table 45. Azra AI Revenue in AI In Oncology Business (2017-2022) & (US$ Million)
Table 46. Azra AI Recent Development
Table 47. IBM Company Detail
Table 48. IBM Business Overview
Table 49. IBM AI In Oncology Product
Table 50. IBM Revenue in AI In Oncology Business (2017-2022) & (US$ Million)
Table 51. IBM Recent Development
Table 52. Siemens Healthineers Company Detail
Table 53. Siemens Healthineers Business Overview
Table 54. Siemens Healthineers AI In Oncology Product
Table 55. Siemens Healthineers Revenue in AI In Oncology Business (2017-2022) & (US$ Million)
Table 56. Siemens Healthineers Recent Development
Table 57. Intel Company Detail
Table 58. Intel Business Overview
Table 59. Intel AI In Oncology Product
Table 60. Intel Revenue in AI In Oncology Business (2017-2022) & (US$ Million)
Table 61. Intel Recent Development
Table 62. GE Healthcare Company Detail
Table 63. GE Healthcare Business Overview
Table 64. GE Healthcare AI In Oncology Product
Table 65. GE Healthcare Revenue in AI In Oncology Business (2017-2022) & (US$ Million)
Table 66. GE Healthcare Recent Development
Table 67. NVIDIA Company Detail
Table 68. NVIDIA Business Overview
Table 69. NVIDIA AI In Oncology Product
Table 70. NVIDIA Revenue in AI In Oncology Business (2017-2022) & (US$ Million)
Table 71. NVIDIA Recent Development
Table 72. Digital Diagnostics Inc. Company Detail
Table 73. Digital Diagnostics Inc. Business Overview
Table 74. Digital Diagnostics Inc. AI In Oncology Product
Table 75. Digital Diagnostics Inc. Revenue in AI In Oncology Business (2017-2022) & (US$ Million)
Table 76. Digital Diagnostics Inc. Recent Development
Table 77. Concert.AI Company Detail
Table 78. Concert.AI Business Overview
Table 79. Concert.AI AI In Oncology Product
Table 80. Concert.AI Revenue in AI In Oncology Business (2017-2022) & (US$ Million)
Table 81. Concert.AI Recent Development
Table 82. Median Technologies Company Detail
Table 83. Median Technologies Business Overview
Table 84. Median Technologies AI In Oncology Product
Table 85. Median Technologies Revenue in AI In Oncology Business (2017-2022) & (US$ Million)
Table 86. Median Technologies Recent Development
Table 87. Path AI Company Detail
Table 88. Path AI Business Overview
Table 89. Path AI AI In Oncology Product
Table 90. Path AI Revenue in AI In Oncology Business (2017-2022) & (US$ Million)
Table 91. Path AI Recent Development
Table 92. Research Programs/Design for This Report
Table 93. Key Data Information from Secondary Sources
Table 94. Key Data Information from Primary Sources
List of Figures
Figure 1. Global AI In Oncology Market Share by Type: 2021 VS 2028
Figure 2. Software Solutions Features
Figure 3. Hardware Features
Figure 4. Services Features
Figure 5. Global AI In Oncology Market Share by Application in 2021 & 2028
Figure 6. Breast Cancer Case Studies
Figure 7. Lung Cancer Case Studies
Figure 8. Prostate Cancer Case Studies
Figure 9. Colorectal Cancer Case Studies
Figure 10. Brain Tumor Case Studies
Figure 11. Others Case Studies
Figure 12. AI In Oncology Report Years Considered
Figure 13. Global AI In Oncology Market Size (US$ Million), Year-over-Year: 2017-2028
Figure 14. Global AI In Oncology Market Size, (US$ Million), 2017 VS 2021 VS 2028
Figure 15. Global AI In Oncology Market Share by Region: 2021 VS 2028
Figure 16. Global AI In Oncology Market Share by Players in 2021
Figure 17. Global Top AI In Oncology Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI In Oncology as of 2021)
Figure 18. The Top 10 and 5 Players Market Share by AI In Oncology Revenue in 2021
Figure 19. North America AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 20. North America AI In Oncology Market Share by Country (2017-2028)
Figure 21. United States AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 22. Canada AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 23. Europe AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 24. Europe AI In Oncology Market Share by Country (2017-2028)
Figure 25. Germany AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 26. France AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 27. U.K. AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 28. Italy AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 29. Russia AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 30. Nordic Countries AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 31. Asia-Pacific AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 32. Asia-Pacific AI In Oncology Market Share by Region (2017-2028)
Figure 33. China AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 34. Japan AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 35. South Korea AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 36. Southeast Asia AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 37. India AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 38. Australia AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 39. Latin America AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 40. Latin America AI In Oncology Market Share by Country (2017-2028)
Figure 41. Mexico AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 42. Brazil AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 43. Middle East & Africa AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 44. Middle East & Africa AI In Oncology Market Share by Country (2017-2028)
Figure 45. Turkey AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 46. Saudi Arabia AI In Oncology Market Size YoY Growth (2017-2028) & (US$ Million)
Figure 47. Azra AI Revenue Growth Rate in AI In Oncology Business (2017-2022)
Figure 48. IBM Revenue Growth Rate in AI In Oncology Business (2017-2022)
Figure 49. Siemens Healthineers Revenue Growth Rate in AI In Oncology Business (2017-2022)
Figure 50. Intel Revenue Growth Rate in AI In Oncology Business (2017-2022)
Figure 51. GE Healthcare Revenue Growth Rate in AI In Oncology Business (2017-2022)
Figure 52. NVIDIA Revenue Growth Rate in AI In Oncology Business (2017-2022)
Figure 53. Digital Diagnostics Inc. Revenue Growth Rate in AI In Oncology Business (2017-2022)
Figure 54. Concert.AI Revenue Growth Rate in AI In Oncology Business (2017-2022)
Figure 55. Median Technologies Revenue Growth Rate in AI In Oncology Business (2017-2022)
Figure 56. Path AI Revenue Growth Rate in AI In Oncology Business (2017-2022)
Figure 57. Bottom-up and Top-down Approaches for This Report
Figure 58. Data Triangulation
Figure 59. Key Executives Interviewed
Published By : QY Research
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