Artificial Intelligence (AI) in HIV and AIDS - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511242042

Publication Date:

November 20, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Artificial Intelligence (AI) in HIV and AIDS was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % 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 1/70 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 HIV and AIDS, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence (AI) in HIV and AIDS by region & country, by Type, and by Application.
The Artificial Intelligence (AI) in HIV and AIDS 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 HIV and AIDS.
麻豆原创 Segmentation
By Company
Koninklijke Philips N.V.
Google Inc.(DeepMind)
General Electric Healthcare
IBM
Microsoft Corporation
Amazon Web Services
Intel Corporation
General Vision Inc.
Siemens Healthineers AG
Segment by Type:
Machine Learning
Natural Language Processing
Image Processing
Speech Recognition
Other
Segment by Application
Hospital
Research Institutions
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 HIV and AIDS 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 HIV and AIDS 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 HIV and AIDS 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 麻豆原创 Overview
1.1 Artificial Intelligence (AI) in HIV and AIDS Product Introduction
1.2 Global Artificial Intelligence (AI) in HIV and AIDS 麻豆原创 Size Forecast
1.3 Artificial Intelligence (AI) in HIV and AIDS 麻豆原创 Trends & Drivers
1.3.1 Artificial Intelligence (AI) in HIV and AIDS Industry Trends
1.3.2 Artificial Intelligence (AI) in HIV and AIDS 麻豆原创 Drivers & Opportunity
1.3.3 Artificial Intelligence (AI) in HIV and AIDS 麻豆原创 Challenges
1.3.4 Artificial Intelligence (AI) in HIV and AIDS 麻豆原创 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 HIV and AIDS Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence (AI) in HIV and AIDS Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence (AI) in HIV and AIDS Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence (AI) in HIV and AIDS Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence (AI) in HIV and AIDS
2.6 Artificial Intelligence (AI) in HIV and AIDS 麻豆原创 Competitive Analysis
2.6.1 Artificial Intelligence (AI) in HIV and AIDS 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence (AI) in HIV and AIDS 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 HIV and AIDS as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Machine Learning
3.1.2 Natural Language Processing
3.1.3 Image Processing
3.1.4 Speech Recognition
3.1.5 Other
3.2 Global Artificial Intelligence (AI) in HIV and AIDS Sales Value by Type
3.2.1 Global Artificial Intelligence (AI) in HIV and AIDS Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence (AI) in HIV and AIDS Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence (AI) in HIV and AIDS Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Hospital
4.1.2 Research Institutions
4.1.3 Others
4.2 Global Artificial Intelligence (AI) in HIV and AIDS Sales Value by Application
4.2.1 Global Artificial Intelligence (AI) in HIV and AIDS Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence (AI) in HIV and AIDS Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence (AI) in HIV and AIDS Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence (AI) in HIV and AIDS Sales Value by Region
5.1.1 Global Artificial Intelligence (AI) in HIV and AIDS Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence (AI) in HIV and AIDS Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence (AI) in HIV and AIDS Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence (AI) in HIV and AIDS Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence (AI) in HIV and AIDS Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence (AI) in HIV and AIDS Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence (AI) in HIV and AIDS Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence (AI) in HIV and AIDS Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence (AI) in HIV and AIDS Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence (AI) in HIV and AIDS Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence (AI) in HIV and AIDS Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence (AI) in HIV and AIDS Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence (AI) in HIV and AIDS Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence (AI) in HIV and AIDS Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence (AI) in HIV and AIDS Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence (AI) in HIV and AIDS Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence (AI) in HIV and AIDS Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence (AI) in HIV and AIDS Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence (AI) in HIV and AIDS Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence (AI) in HIV and AIDS Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence (AI) in HIV and AIDS Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence (AI) in HIV and AIDS Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence (AI) in HIV and AIDS Sales Value, 2019-2030
6.5.2 China Artificial Intelligence (AI) in HIV and AIDS Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence (AI) in HIV and AIDS Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence (AI) in HIV and AIDS Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence (AI) in HIV and AIDS Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence (AI) in HIV and AIDS Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence (AI) in HIV and AIDS Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence (AI) in HIV and AIDS Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence (AI) in HIV and AIDS Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence (AI) in HIV and AIDS Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence (AI) in HIV and AIDS Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence (AI) in HIV and AIDS Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence (AI) in HIV and AIDS Sales Value, 2019-2030
6.9.2 India Artificial Intelligence (AI) in HIV and AIDS Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence (AI) in HIV and AIDS Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Koninklijke Philips N.V.
7.1.1 Koninklijke Philips N.V. Profile
7.1.2 Koninklijke Philips N.V. Main Business
7.1.3 Koninklijke Philips N.V. Artificial Intelligence (AI) in HIV and AIDS Products, Services and Solutions
7.1.4 Koninklijke Philips N.V. Artificial Intelligence (AI) in HIV and AIDS Revenue (US$ Million) & (2019-2024)
7.1.5 Koninklijke Philips N.V. Recent Developments
7.2 Google Inc.(DeepMind)
7.2.1 Google Inc.(DeepMind) Profile
7.2.2 Google Inc.(DeepMind) Main Business
7.2.3 Google Inc.(DeepMind) Artificial Intelligence (AI) in HIV and AIDS Products, Services and Solutions
7.2.4 Google Inc.(DeepMind) Artificial Intelligence (AI) in HIV and AIDS Revenue (US$ Million) & (2019-2024)
7.2.5 Google Inc.(DeepMind) Recent Developments
7.3 General Electric Healthcare
7.3.1 General Electric Healthcare Profile
7.3.2 General Electric Healthcare Main Business
7.3.3 General Electric Healthcare Artificial Intelligence (AI) in HIV and AIDS Products, Services and Solutions
7.3.4 General Electric Healthcare Artificial Intelligence (AI) in HIV and AIDS Revenue (US$ Million) & (2019-2024)
7.3.5 IBM Recent Developments
7.4 IBM
7.4.1 IBM Profile
7.4.2 IBM Main Business
7.4.3 IBM Artificial Intelligence (AI) in HIV and AIDS Products, Services and Solutions
7.4.4 IBM Artificial Intelligence (AI) in HIV and AIDS Revenue (US$ Million) & (2019-2024)
7.4.5 IBM Recent Developments
7.5 Microsoft Corporation
7.5.1 Microsoft Corporation Profile
7.5.2 Microsoft Corporation Main Business
7.5.3 Microsoft Corporation Artificial Intelligence (AI) in HIV and AIDS Products, Services and Solutions
7.5.4 Microsoft Corporation Artificial Intelligence (AI) in HIV and AIDS Revenue (US$ Million) & (2019-2024)
7.5.5 Microsoft Corporation Recent Developments
7.6 Amazon Web Services
7.6.1 Amazon Web Services Profile
7.6.2 Amazon Web Services Main Business
7.6.3 Amazon Web Services Artificial Intelligence (AI) in HIV and AIDS Products, Services and Solutions
7.6.4 Amazon Web Services Artificial Intelligence (AI) in HIV and AIDS Revenue (US$ Million) & (2019-2024)
7.6.5 Amazon Web Services Recent Developments
7.7 Intel Corporation
7.7.1 Intel Corporation Profile
7.7.2 Intel Corporation Main Business
7.7.3 Intel Corporation Artificial Intelligence (AI) in HIV and AIDS Products, Services and Solutions
7.7.4 Intel Corporation Artificial Intelligence (AI) in HIV and AIDS Revenue (US$ Million) & (2019-2024)
7.7.5 Intel Corporation Recent Developments
7.8 General Vision Inc.
7.8.1 General Vision Inc. Profile
7.8.2 General Vision Inc. Main Business
7.8.3 General Vision Inc. Artificial Intelligence (AI) in HIV and AIDS Products, Services and Solutions
7.8.4 General Vision Inc. Artificial Intelligence (AI) in HIV and AIDS Revenue (US$ Million) & (2019-2024)
7.8.5 General Vision Inc. Recent Developments
7.9 Siemens Healthineers AG
7.9.1 Siemens Healthineers AG Profile
7.9.2 Siemens Healthineers AG Main Business
7.9.3 Siemens Healthineers AG Artificial Intelligence (AI) in HIV and AIDS Products, Services and Solutions
7.9.4 Siemens Healthineers AG Artificial Intelligence (AI) in HIV and AIDS Revenue (US$ Million) & (2019-2024)
7.9.5 Siemens Healthineers AG Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence (AI) in HIV and AIDS Industrial Chain
8.2 Artificial Intelligence (AI) in HIV and AIDS 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 HIV and AIDS Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence (AI) in HIV and AIDS 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:

Koninklijke Philips N.V.
Google Inc.(DeepMind)
General Electric Healthcare
IBM
Microsoft Corporation
Amazon Web Services
Intel Corporation
General Vision Inc.
Siemens Healthineers AG

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