Global AI In Oncology Market Research Report 2024

Publication ID:

PB506248473

Publication Date:

June 21, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Pharmaceutical Manufacturing [2]

Healthcare [3]

Pharma & Healthcare [4]

Description:

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.
The global AI In Oncology market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.131%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for AI In Oncology, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI In Oncology.
Report Scope
The AI In Oncology market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global 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 AI In Oncology companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Azra AI
IBM
Siemens Healthineers
Intel
GE Healthcare
NVIDIA
Digital Diagnostics Inc.
Concert.AI
Median Technologies
Path AI
Segment by Type
Software Solutions
Hardware
Services
Segment by Application
Breast Cancer
Lung Cancer
Prostate Cancer
Colorectal Cancer
Brain Tumor
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
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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鈥� 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 main companies in the market in detail, including product sales, revenue, price, 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.

Table Of Contents:

1 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: 2019 VS 2023 VS 2030
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 Growth by Application: 2019 VS 2023 VS 2030
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
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI In Oncology Market Perspective (2019-2030)
2.2 AI In Oncology Growth Trends by Region
2.2.1 Global AI In Oncology Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI In Oncology Historic Market Size by Region (2019-2024)
2.2.3 AI In Oncology Forecasted Market Size by Region (2025-2030)
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 (2019-2024)
3.1.2 Global AI In Oncology Revenue Market Share by Players (2019-2024)
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 2023
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 (2019-2024)
4.2 Global AI In Oncology Forecasted Market Size by Type (2025-2030)
5 AI In Oncology Breakdown Data by Application
5.1 Global AI In Oncology Historic Market Size by Application (2019-2024)
5.2 Global AI In Oncology Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI In Oncology Market Size (2019-2030)
6.2 North America AI In Oncology Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI In Oncology Market Size by Country (2019-2024)
6.4 North America AI In Oncology Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI In Oncology Market Size (2019-2030)
7.2 Europe AI In Oncology Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI In Oncology Market Size by Country (2019-2024)
7.4 Europe AI In Oncology Market Size by Country (2025-2030)
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 AI In Oncology Market Size (2019-2030)
8.2 Asia-Pacific AI In Oncology Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI In Oncology Market Size by Region (2019-2024)
8.4 Asia-Pacific AI In Oncology Market Size by Region (2025-2030)
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 AI In Oncology Market Size (2019-2030)
9.2 Latin America AI In Oncology Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI In Oncology Market Size by Country (2019-2024)
9.4 Latin America AI In Oncology Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI In Oncology Market Size (2019-2030)
10.2 Middle East & Africa AI In Oncology Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI In Oncology Market Size by Country (2019-2024)
10.4 Middle East & Africa AI In Oncology Market Size by Country (2025-2030)
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 AI In Oncology Introduction
11.1.4 Azra AI Revenue in AI In Oncology Business (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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

Companies Mentioned:

Azra AI
IBM
Siemens Healthineers
Intel
GE Healthcare
NVIDIA
Digital Diagnostics Inc.
Concert.AI
Median Technologies
Path AI

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