Artificial Intelligence (AI) in Oncology - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511243800

Publication Date:

November 26, 2024

Pages:

108

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

Pharmaceutical Manufacturing [2]

Healthcare [3]

Pharma & Healthcare [4]

Description:

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 market for Artificial Intelligence (AI) in Oncology was estimated to be worth US$ 601.2 million in 2023 and is forecast to a readjusted size of US$ 2655.7 million by 2030 with a CAGR of 22.7% during the forecast period 2024-2030
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/138 of that of the United States.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in Oncology, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence (AI) in Oncology by region & country, by Type, and by Application.
The Artificial Intelligence (AI) in Oncology market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
Market Segmentation
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
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence (AI) in Oncology manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Artificial Intelligence (AI) in Oncology in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial Intelligence (AI) in Oncology in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: 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 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents:

1 Market Overview
1.1 Artificial Intelligence (AI) in Oncology Product Introduction
1.2 Global Artificial Intelligence (AI) in Oncology Market Size Forecast
1.3 Artificial Intelligence (AI) in Oncology Market Trends & Drivers
1.3.1 Artificial Intelligence (AI) in Oncology Industry Trends
1.3.2 Artificial Intelligence (AI) in Oncology Market Drivers & Opportunity
1.3.3 Artificial Intelligence (AI) in Oncology Market Challenges
1.3.4 Artificial Intelligence (AI) in Oncology Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence (AI) in Oncology Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence (AI) in Oncology Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence (AI) in Oncology Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence (AI) in Oncology Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence (AI) in Oncology
2.6 Artificial Intelligence (AI) in Oncology Market Competitive Analysis
2.6.1 Artificial Intelligence (AI) in Oncology Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence (AI) in Oncology Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence (AI) in Oncology as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Hardware
3.1.2 Software and Services
3.2 Global Artificial Intelligence (AI) in Oncology Sales Value by Type
3.2.1 Global Artificial Intelligence (AI) in Oncology Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence (AI) in Oncology Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence (AI) in Oncology Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Hospitals
4.1.2 Diagnostic Centers
4.1.3 Pharmaceutical Companies
4.1.4 Research Institutes
4.1.5 Others
4.2 Global Artificial Intelligence (AI) in Oncology Sales Value by Application
4.2.1 Global Artificial Intelligence (AI) in Oncology Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence (AI) in Oncology Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence (AI) in Oncology Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence (AI) in Oncology Sales Value by Region
5.1.1 Global Artificial Intelligence (AI) in Oncology Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence (AI) in Oncology Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence (AI) in Oncology Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence (AI) in Oncology Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence (AI) in Oncology Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence (AI) in Oncology Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence (AI) in Oncology Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence (AI) in Oncology Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence (AI) in Oncology Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence (AI) in Oncology Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence (AI) in Oncology Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence (AI) in Oncology Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence (AI) in Oncology Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence (AI) in Oncology Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence (AI) in Oncology Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence (AI) in Oncology Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence (AI) in Oncology Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence (AI) in Oncology Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence (AI) in Oncology Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence (AI) in Oncology Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence (AI) in Oncology Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence (AI) in Oncology Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence (AI) in Oncology Sales Value, 2019-2030
6.5.2 China Artificial Intelligence (AI) in Oncology Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence (AI) in Oncology Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence (AI) in Oncology Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence (AI) in Oncology Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence (AI) in Oncology Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence (AI) in Oncology Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence (AI) in Oncology Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence (AI) in Oncology Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence (AI) in Oncology Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence (AI) in Oncology Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence (AI) in Oncology Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence (AI) in Oncology Sales Value, 2019-2030
6.9.2 India Artificial Intelligence (AI) in Oncology Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence (AI) in Oncology Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Azra AI
7.1.1 Azra AI Profile
7.1.2 Azra AI Main Business
7.1.3 Azra AI Artificial Intelligence (AI) in Oncology Products, Services and Solutions
7.1.4 Azra AI Artificial Intelligence (AI) in Oncology Revenue (US$ Million) & (2019-2024)
7.1.5 Azra AI Recent Developments
7.2 Concert.AI
7.2.1 Concert.AI Profile
7.2.2 Concert.AI Main Business
7.2.3 Concert.AI Artificial Intelligence (AI) in Oncology Products, Services and Solutions
7.2.4 Concert.AI Artificial Intelligence (AI) in Oncology Revenue (US$ Million) & (2019-2024)
7.2.5 Concert.AI Recent Developments
7.3 Digital Diagnostics Inc.
7.3.1 Digital Diagnostics Inc. Profile
7.3.2 Digital Diagnostics Inc. Main Business
7.3.3 Digital Diagnostics Inc. Artificial Intelligence (AI) in Oncology Products, Services and Solutions
7.3.4 Digital Diagnostics Inc. Artificial Intelligence (AI) in Oncology Revenue (US$ Million) & (2019-2024)
7.3.5 GE Healthcare Recent Developments
7.4 GE Healthcare
7.4.1 GE Healthcare Profile
7.4.2 GE Healthcare Main Business
7.4.3 GE Healthcare Artificial Intelligence (AI) in Oncology Products, Services and Solutions
7.4.4 GE Healthcare Artificial Intelligence (AI) in Oncology Revenue (US$ Million) & (2019-2024)
7.4.5 GE Healthcare Recent Developments
7.5 Intel
7.5.1 Intel Profile
7.5.2 Intel Main Business
7.5.3 Intel Artificial Intelligence (AI) in Oncology Products, Services and Solutions
7.5.4 Intel Artificial Intelligence (AI) in Oncology Revenue (US$ Million) & (2019-2024)
7.5.5 Intel Recent Developments
7.6 IBM
7.6.1 IBM Profile
7.6.2 IBM Main Business
7.6.3 IBM Artificial Intelligence (AI) in Oncology Products, Services and Solutions
7.6.4 IBM Artificial Intelligence (AI) in Oncology Revenue (US$ Million) & (2019-2024)
7.6.5 IBM Recent Developments
7.7 Path AI
7.7.1 Path AI Profile
7.7.2 Path AI Main Business
7.7.3 Path AI Artificial Intelligence (AI) in Oncology Products, Services and Solutions
7.7.4 Path AI Artificial Intelligence (AI) in Oncology Revenue (US$ Million) & (2019-2024)
7.7.5 Path AI Recent Developments
7.8 NVIDIA
7.8.1 NVIDIA Profile
7.8.2 NVIDIA Main Business
7.8.3 NVIDIA Artificial Intelligence (AI) in Oncology Products, Services and Solutions
7.8.4 NVIDIA Artificial Intelligence (AI) in Oncology Revenue (US$ Million) & (2019-2024)
7.8.5 NVIDIA Recent Developments
7.9 Median Technologies
7.9.1 Median Technologies Profile
7.9.2 Median Technologies Main Business
7.9.3 Median Technologies Artificial Intelligence (AI) in Oncology Products, Services and Solutions
7.9.4 Median Technologies Artificial Intelligence (AI) in Oncology Revenue (US$ Million) & (2019-2024)
7.9.5 Median Technologies Recent Developments
7.10 Siemens Healthineers
7.10.1 Siemens Healthineers Profile
7.10.2 Siemens Healthineers Main Business
7.10.3 Siemens Healthineers Artificial Intelligence (AI) in Oncology Products, Services and Solutions
7.10.4 Siemens Healthineers Artificial Intelligence (AI) in Oncology Revenue (US$ Million) & (2019-2024)
7.10.5 Siemens Healthineers Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence (AI) in Oncology Industrial Chain
8.2 Artificial Intelligence (AI) in Oncology Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence (AI) in Oncology Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence (AI) in Oncology Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

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

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