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Global Artificial Intelligence In Diagnostic Market Research Report 2025
Synopsis
The global Artificial Intelligence In Diagnostic 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.
The global pharmaceutical market is 1475 billion USD in 2022, growing at a CAGR of 5% during the next six years. The pharmaceutical market includes chemical drugs and biological drugs. For biologics is expected to 381 billion USD in 2022. In comparison, the chemical drug market is estimated to increase from 1005 billion in 2018 to 1094 billion U.S. dollars in 2022. The pharmaceutical market factors such as increasing demand for healthcare, technological advancements, and the rising prevalence of chronic diseases, increase in funding from private & government organizations for development of pharmaceutical manufacturing segments and rise in R&D activities for drugs. However, the industry also faces challenges such as stringent regulations, high costs of research and development, and patent expirations. Companies need to continuously innovate and adapt to these challenges to stay competitive in the market and ensure their products reach patients in need. Additionally, the COVID-19 pandemic has highlighted the importance of vaccine development and supply chain management, further emphasizing the need for pharmaceutical companies to be agile and responsive to emerging public health needs.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence In Diagnostic, 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 In Diagnostic.
Report Scope
The Artificial Intelligence In Diagnostic 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 Artificial Intelligence In Diagnostic 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 In Diagnostic 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
Aidoc
AliveCor
GE Healthcare
Imagen Technologies
Vuno
IDx Technologies
Siemens Healthcare
Neural Analytics
Riverain Technologies
Zebra Medical Vision
Segment by Type
Software
Hardware
Services
Segment by Application
Cardiology
Oncology
Pathology
Radiology
Neurology
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 Artificial Intelligence In Diagnostic 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 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.
The global Artificial Intelligence In Diagnostic 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.
The global pharmaceutical market is 1475 billion USD in 2022, growing at a CAGR of 5% during the next six years. The pharmaceutical market includes chemical drugs and biological drugs. For biologics is expected to 381 billion USD in 2022. In comparison, the chemical drug market is estimated to increase from 1005 billion in 2018 to 1094 billion U.S. dollars in 2022. The pharmaceutical market factors such as increasing demand for healthcare, technological advancements, and the rising prevalence of chronic diseases, increase in funding from private & government organizations for development of pharmaceutical manufacturing segments and rise in R&D activities for drugs. However, the industry also faces challenges such as stringent regulations, high costs of research and development, and patent expirations. Companies need to continuously innovate and adapt to these challenges to stay competitive in the market and ensure their products reach patients in need. Additionally, the COVID-19 pandemic has highlighted the importance of vaccine development and supply chain management, further emphasizing the need for pharmaceutical companies to be agile and responsive to emerging public health needs.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence In Diagnostic, 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 In Diagnostic.
Report Scope
The Artificial Intelligence In Diagnostic 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 Artificial Intelligence In Diagnostic 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 In Diagnostic 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
Aidoc
AliveCor
GE Healthcare
Imagen Technologies
Vuno
IDx Technologies
Siemens Healthcare
Neural Analytics
Riverain Technologies
Zebra Medical Vision
Segment by Type
Software
Hardware
Services
Segment by Application
Cardiology
Oncology
Pathology
Radiology
Neurology
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 Artificial Intelligence In Diagnostic 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 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence In Diagnostic Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Software
1.2.3 Hardware
1.2.4 Services
1.3 Market by Application
1.3.1 Global Artificial Intelligence In Diagnostic Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Cardiology
1.3.3 Oncology
1.3.4 Pathology
1.3.5 Radiology
1.3.6 Neurology
1.3.7 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence In Diagnostic Market Perspective (2019-2030)
2.2 Artificial Intelligence In Diagnostic Growth Trends by Region
2.2.1 Global Artificial Intelligence In Diagnostic Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence In Diagnostic Historic Market Size by Region (2019-2024)
2.2.3 Artificial Intelligence In Diagnostic Forecasted Market Size by Region (2025-2030)
2.3 Artificial Intelligence In Diagnostic Market Dynamics
2.3.1 Artificial Intelligence In Diagnostic Industry Trends
2.3.2 Artificial Intelligence In Diagnostic Market Drivers
2.3.3 Artificial Intelligence In Diagnostic Market Challenges
2.3.4 Artificial Intelligence In Diagnostic Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence In Diagnostic Players by Revenue
3.1.1 Global Top Artificial Intelligence In Diagnostic Players by Revenue (2019-2024)
3.1.2 Global Artificial Intelligence In Diagnostic Revenue Market Share by Players (2019-2024)
3.2 Global Artificial Intelligence In Diagnostic Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence In Diagnostic Revenue
3.4 Global Artificial Intelligence In Diagnostic Market Concentration Ratio
3.4.1 Global Artificial Intelligence In Diagnostic Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence In Diagnostic Revenue in 2023
3.5 Artificial Intelligence In Diagnostic Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence In Diagnostic Product Solution and Service
3.7 Date of Enter into Artificial Intelligence In Diagnostic Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence In Diagnostic Breakdown Data by Type
4.1 Global Artificial Intelligence In Diagnostic Historic Market Size by Type (2019-2024)
4.2 Global Artificial Intelligence In Diagnostic Forecasted Market Size by Type (2025-2030)
5 Artificial Intelligence In Diagnostic Breakdown Data by Application
5.1 Global Artificial Intelligence In Diagnostic Historic Market Size by Application (2019-2024)
5.2 Global Artificial Intelligence In Diagnostic Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence In Diagnostic Market Size (2019-2030)
6.2 North America Artificial Intelligence In Diagnostic Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Intelligence In Diagnostic Market Size by Country (2019-2024)
6.4 North America Artificial Intelligence In Diagnostic Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence In Diagnostic Market Size (2019-2030)
7.2 Europe Artificial Intelligence In Diagnostic Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Intelligence In Diagnostic Market Size by Country (2019-2024)
7.4 Europe Artificial Intelligence In Diagnostic 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 Artificial Intelligence In Diagnostic Market Size (2019-2030)
8.2 Asia-Pacific Artificial Intelligence In Diagnostic Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Intelligence In Diagnostic Market Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Intelligence In Diagnostic 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 Artificial Intelligence In Diagnostic Market Size (2019-2030)
9.2 Latin America Artificial Intelligence In Diagnostic Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Intelligence In Diagnostic Market Size by Country (2019-2024)
9.4 Latin America Artificial Intelligence In Diagnostic Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence In Diagnostic Market Size (2019-2030)
10.2 Middle East & Africa Artificial Intelligence In Diagnostic Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Intelligence In Diagnostic Market Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Intelligence In Diagnostic Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Aidoc
11.1.1 Aidoc Company Detail
11.1.2 Aidoc Business Overview
11.1.3 Aidoc Artificial Intelligence In Diagnostic Introduction
11.1.4 Aidoc Revenue in Artificial Intelligence In Diagnostic Business (2019-2024)
11.1.5 Aidoc Recent Development
11.2 AliveCor
11.2.1 AliveCor Company Detail
11.2.2 AliveCor Business Overview
11.2.3 AliveCor Artificial Intelligence In Diagnostic Introduction
11.2.4 AliveCor Revenue in Artificial Intelligence In Diagnostic Business (2019-2024)
11.2.5 AliveCor Recent Development
11.3 GE Healthcare
11.3.1 GE Healthcare Company Detail
11.3.2 GE Healthcare Business Overview
11.3.3 GE Healthcare Artificial Intelligence In Diagnostic Introduction
11.3.4 GE Healthcare Revenue in Artificial Intelligence In Diagnostic Business (2019-2024)
11.3.5 GE Healthcare Recent Development
11.4 Imagen Technologies
11.4.1 Imagen Technologies Company Detail
11.4.2 Imagen Technologies Business Overview
11.4.3 Imagen Technologies Artificial Intelligence In Diagnostic Introduction
11.4.4 Imagen Technologies Revenue in Artificial Intelligence In Diagnostic Business (2019-2024)
11.4.5 Imagen Technologies Recent Development
11.5 Vuno
11.5.1 Vuno Company Detail
11.5.2 Vuno Business Overview
11.5.3 Vuno Artificial Intelligence In Diagnostic Introduction
11.5.4 Vuno Revenue in Artificial Intelligence In Diagnostic Business (2019-2024)
11.5.5 Vuno Recent Development
11.6 IDx Technologies
11.6.1 IDx Technologies Company Detail
11.6.2 IDx Technologies Business Overview
11.6.3 IDx Technologies Artificial Intelligence In Diagnostic Introduction
11.6.4 IDx Technologies Revenue in Artificial Intelligence In Diagnostic Business (2019-2024)
11.6.5 IDx Technologies Recent Development
11.7 Siemens Healthcare
11.7.1 Siemens Healthcare Company Detail
11.7.2 Siemens Healthcare Business Overview
11.7.3 Siemens Healthcare Artificial Intelligence In Diagnostic Introduction
11.7.4 Siemens Healthcare Revenue in Artificial Intelligence In Diagnostic Business (2019-2024)
11.7.5 Siemens Healthcare Recent Development
11.8 Neural Analytics
11.8.1 Neural Analytics Company Detail
11.8.2 Neural Analytics Business Overview
11.8.3 Neural Analytics Artificial Intelligence In Diagnostic Introduction
11.8.4 Neural Analytics Revenue in Artificial Intelligence In Diagnostic Business (2019-2024)
11.8.5 Neural Analytics Recent Development
11.9 Riverain Technologies
11.9.1 Riverain Technologies Company Detail
11.9.2 Riverain Technologies Business Overview
11.9.3 Riverain Technologies Artificial Intelligence In Diagnostic Introduction
11.9.4 Riverain Technologies Revenue in Artificial Intelligence In Diagnostic Business (2019-2024)
11.9.5 Riverain Technologies Recent Development
11.10 Zebra Medical Vision
11.10.1 Zebra Medical Vision Company Detail
11.10.2 Zebra Medical Vision Business Overview
11.10.3 Zebra Medical Vision Artificial Intelligence In Diagnostic Introduction
11.10.4 Zebra Medical Vision Revenue in Artificial Intelligence In Diagnostic Business (2019-2024)
11.10.5 Zebra Medical Vision 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
Published By : QY Research
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