
A variety of anticancer drugs are discovered, and their mechanism of action is predicted by using artificial intelligence. Various medicines and cancers are able to react differently; this information from screening processes reveals the links between therapeutic activities and the cancer genome. AI is also used to fight against resistance to anticancer drugs. Cancer treatment, imaging, screening, and medication are various domains in which AI is used. Among these, cancer imaging is the most innovative. The advancement of technology and the use of AI in cancer diagnostics drive the expansion of the healthcare industry. The artificial tools require low-cost diagnostic processes and quick detection data reporting.
The global Artificial Intelligence (AI) in Oncology market was valued at US$ 777.1 million in 2022 and is anticipated to reach US$ 2655.7 million by 2029, witnessing a CAGR of 22.7% during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Artificial Intelligence (AI) in Oncology is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Artificial Intelligence (AI) in Oncology is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Artificial Intelligence (AI) in Oncology in Hospitals is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Artificial Intelligence (AI) in Oncology include Azra AI, Concert.AI, Digital Diagnostics Inc., GE Healthcare, Intel, IBM, Path AI, NVIDIA and Median Technologies, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (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 Artificial Intelligence (AI) in Oncology.
The Artificial Intelligence (AI) in Oncology market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Artificial Intelligence (AI) in Oncology market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
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 Artificial Intelligence (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, by type, by application, and by regions.
By Company
Azra AI
Concert.AI
Digital Diagnostics Inc.
GE Healthcare
Intel
IBM
Path AI
NVIDIA
Median Technologies
Siemens Healthineers
Segment by Type
Hardware
Software and Services
Segment by Application
Hospitals
Diagnostic Centers
Pharmaceutical Companies
Research Institutes
Others
By Region
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
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by 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 Artificial Intelligence (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 by type, 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 by 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 key 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.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence (AI) in Oncology Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Hardware
1.2.3 Software and Services
1.3 Market by Application
1.3.1 Global Artificial Intelligence (AI) in Oncology Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Hospitals
1.3.3 Diagnostic Centers
1.3.4 Pharmaceutical Companies
1.3.5 Research Institutes
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence (AI) in Oncology Market Perspective (2018-2029)
2.2 Artificial Intelligence (AI) in Oncology Growth Trends by Region
2.2.1 Global Artificial Intelligence (AI) in Oncology Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Artificial Intelligence (AI) in Oncology Historic Market Size by Region (2018-2023)
2.2.3 Artificial Intelligence (AI) in Oncology Forecasted Market Size by Region (2024-2029)
2.3 Artificial Intelligence (AI) in Oncology Market Dynamics
2.3.1 Artificial Intelligence (AI) in Oncology Industry Trends
2.3.2 Artificial Intelligence (AI) in Oncology Market Drivers
2.3.3 Artificial Intelligence (AI) in Oncology Market Challenges
2.3.4 Artificial Intelligence (AI) in Oncology Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence (AI) in Oncology Players by Revenue
3.1.1 Global Top Artificial Intelligence (AI) in Oncology Players by Revenue (2018-2023)
3.1.2 Global Artificial Intelligence (AI) in Oncology Revenue Market Share by Players (2018-2023)
3.2 Global Artificial Intelligence (AI) in Oncology Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence (AI) in Oncology Revenue
3.4 Global Artificial Intelligence (AI) in Oncology Market Concentration Ratio
3.4.1 Global Artificial Intelligence (AI) in Oncology Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence (AI) in Oncology Revenue in 2022
3.5 Artificial Intelligence (AI) in Oncology Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence (AI) in Oncology Product Solution and Service
3.7 Date of Enter into Artificial Intelligence (AI) in Oncology Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence (AI) in Oncology Breakdown Data by Type
4.1 Global Artificial Intelligence (AI) in Oncology Historic Market Size by Type (2018-2023)
4.2 Global Artificial Intelligence (AI) in Oncology Forecasted Market Size by Type (2024-2029)
5 Artificial Intelligence (AI) in Oncology Breakdown Data by Application
5.1 Global Artificial Intelligence (AI) in Oncology Historic Market Size by Application (2018-2023)
5.2 Global Artificial Intelligence (AI) in Oncology Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Artificial Intelligence (AI) in Oncology Market Size (2018-2029)
6.2 North America Artificial Intelligence (AI) in Oncology Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Artificial Intelligence (AI) in Oncology Market Size by Country (2018-2023)
6.4 North America Artificial Intelligence (AI) in Oncology Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence (AI) in Oncology Market Size (2018-2029)
7.2 Europe Artificial Intelligence (AI) in Oncology Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Artificial Intelligence (AI) in Oncology Market Size by Country (2018-2023)
7.4 Europe Artificial Intelligence (AI) in Oncology Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence (AI) in Oncology Market Size (2018-2029)
8.2 Asia-Pacific Artificial Intelligence (AI) in Oncology Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Artificial Intelligence (AI) in Oncology Market Size by Region (2018-2023)
8.4 Asia-Pacific Artificial Intelligence (AI) in Oncology Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence (AI) in Oncology Market Size (2018-2029)
9.2 Latin America Artificial Intelligence (AI) in Oncology Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Artificial Intelligence (AI) in Oncology Market Size by Country (2018-2023)
9.4 Latin America Artificial Intelligence (AI) in Oncology Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence (AI) in Oncology Market Size (2018-2029)
10.2 Middle East & Africa Artificial Intelligence (AI) in Oncology Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Artificial Intelligence (AI) in Oncology Market Size by Country (2018-2023)
10.4 Middle East & Africa Artificial Intelligence (AI) in Oncology Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 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 Artificial Intelligence (AI) in Oncology Introduction
11.1.4 Azra AI Revenue in Artificial Intelligence (AI) in Oncology Business (2018-2023)
11.1.5 Azra AI Recent Development
11.2 Concert.AI
11.2.1 Concert.AI Company Detail
11.2.2 Concert.AI Business Overview
11.2.3 Concert.AI Artificial Intelligence (AI) in Oncology Introduction
11.2.4 Concert.AI Revenue in Artificial Intelligence (AI) in Oncology Business (2018-2023)
11.2.5 Concert.AI Recent Development
11.3 Digital Diagnostics Inc.
11.3.1 Digital Diagnostics Inc. Company Detail
11.3.2 Digital Diagnostics Inc. Business Overview
11.3.3 Digital Diagnostics Inc. Artificial Intelligence (AI) in Oncology Introduction
11.3.4 Digital Diagnostics Inc. Revenue in Artificial Intelligence (AI) in Oncology Business (2018-2023)
11.3.5 Digital Diagnostics Inc. Recent Development
11.4 GE Healthcare
11.4.1 GE Healthcare Company Detail
11.4.2 GE Healthcare Business Overview
11.4.3 GE Healthcare Artificial Intelligence (AI) in Oncology Introduction
11.4.4 GE Healthcare Revenue in Artificial Intelligence (AI) in Oncology Business (2018-2023)
11.4.5 GE Healthcare Recent Development
11.5 Intel
11.5.1 Intel Company Detail
11.5.2 Intel Business Overview
11.5.3 Intel Artificial Intelligence (AI) in Oncology Introduction
11.5.4 Intel Revenue in Artificial Intelligence (AI) in Oncology Business (2018-2023)
11.5.5 Intel Recent Development
11.6 IBM
11.6.1 IBM Company Detail
11.6.2 IBM Business Overview
11.6.3 IBM Artificial Intelligence (AI) in Oncology Introduction
11.6.4 IBM Revenue in Artificial Intelligence (AI) in Oncology Business (2018-2023)
11.6.5 IBM Recent Development
11.7 Path AI
11.7.1 Path AI Company Detail
11.7.2 Path AI Business Overview
11.7.3 Path AI Artificial Intelligence (AI) in Oncology Introduction
11.7.4 Path AI Revenue in Artificial Intelligence (AI) in Oncology Business (2018-2023)
11.7.5 Path AI Recent Development
11.8 NVIDIA
11.8.1 NVIDIA Company Detail
11.8.2 NVIDIA Business Overview
11.8.3 NVIDIA Artificial Intelligence (AI) in Oncology Introduction
11.8.4 NVIDIA Revenue in Artificial Intelligence (AI) in Oncology Business (2018-2023)
11.8.5 NVIDIA 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 Artificial Intelligence (AI) in Oncology Introduction
11.9.4 Median Technologies Revenue in Artificial Intelligence (AI) in Oncology Business (2018-2023)
11.9.5 Median Technologies Recent Development
11.10 Siemens Healthineers
11.10.1 Siemens Healthineers Company Detail
11.10.2 Siemens Healthineers Business Overview
11.10.3 Siemens Healthineers Artificial Intelligence (AI) in Oncology Introduction
11.10.4 Siemens Healthineers Revenue in Artificial Intelligence (AI) in Oncology Business (2018-2023)
11.10.5 Siemens Healthineers 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
Azra AI
Concert.AI
Digital Diagnostics Inc.
GE Healthcare
Intel
IBM
Path AI
NVIDIA
Median Technologies
Siemens Healthineers
Ìý
Ìý
*If Applicable.
