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AI In Diagnostic Imaging-Global Market Insights and Sales Trends 2025
Synopsis
Artificial intelligence could enable radiologists and pathologists to use medical imaging to diagnose various diseases.AI can be applied to automatically identify complex patterns in imaging data and provide a quantitative assessment of radiographic features, which will improve the productivity of radiologists, pathologists and other image-based diagnostics
The global AI In Diagnostic Imaging market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of AI In Diagnostic Imaging in various end use industries. The expanding demands from the Hospitals, Ambulatory Surgical Centers, Diagnostic Centers and Others, are propelling AI In Diagnostic Imaging market. Hardware, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Software segment is estimated at % CAGR for the next seven-year period.
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.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for AI In Diagnostic Imaging, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global AI In Diagnostic Imaging market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global AI In Diagnostic Imaging market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, AI In Diagnostic Imaging sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of AI In Diagnostic Imaging covered in this report include GE Healthcare, Canon, Siemens Healthineers, Subtle Medical, DeepMind, Samsung Healthcare, Koninklijke Philips N.V. and Butterfly Network, etc.
The global AI In Diagnostic Imaging market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
GE Healthcare
Canon
Siemens Healthineers
Subtle Medical
DeepMind
Samsung Healthcare
Koninklijke Philips N.V.
Butterfly Network
Global AI In Diagnostic Imaging market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global AI In Diagnostic Imaging market, Segment by Type:
Hardware
Software
Services
Global AI In Diagnostic Imaging market, by Application
Hospitals
Ambulatory Surgical Centers
Diagnostic Centers
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of AI In Diagnostic Imaging companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
Artificial intelligence could enable radiologists and pathologists to use medical imaging to diagnose various diseases.AI can be applied to automatically identify complex patterns in imaging data and provide a quantitative assessment of radiographic features, which will improve the productivity of radiologists, pathologists and other image-based diagnostics
The global AI In Diagnostic Imaging market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of AI In Diagnostic Imaging in various end use industries. The expanding demands from the Hospitals, Ambulatory Surgical Centers, Diagnostic Centers and Others, are propelling AI In Diagnostic Imaging market. Hardware, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Software segment is estimated at % CAGR for the next seven-year period.
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.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for AI In Diagnostic Imaging, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global AI In Diagnostic Imaging market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global AI In Diagnostic Imaging market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, AI In Diagnostic Imaging sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of AI In Diagnostic Imaging covered in this report include GE Healthcare, Canon, Siemens Healthineers, Subtle Medical, DeepMind, Samsung Healthcare, Koninklijke Philips N.V. and Butterfly Network, etc.
The global AI In Diagnostic Imaging market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
GE Healthcare
Canon
Siemens Healthineers
Subtle Medical
DeepMind
Samsung Healthcare
Koninklijke Philips N.V.
Butterfly Network
Global AI In Diagnostic Imaging market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global AI In Diagnostic Imaging market, Segment by Type:
Hardware
Software
Services
Global AI In Diagnostic Imaging market, by Application
Hospitals
Ambulatory Surgical Centers
Diagnostic Centers
Others
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). 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 Two: 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 Three: 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 Four: Detailed analysis of AI In Diagnostic Imaging companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: 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 Twelve: Research Finding/Conclusion
Index1 Market Overview of AI In Diagnostic Imaging
1.1 AI In Diagnostic Imaging Market Overview
1.1.1 AI In Diagnostic Imaging Product Scope
1.1.2 AI In Diagnostic Imaging Market Status and Outlook
1.2 Global AI In Diagnostic Imaging Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global AI In Diagnostic Imaging Market Size by Region (2018-2029)
1.4 Global AI In Diagnostic Imaging Historic Market Size by Region (2018-2023)
1.5 Global AI In Diagnostic Imaging Market Size Forecast by Region (2024-2029)
1.6 Key Regions, AI In Diagnostic Imaging Market Size (2018-2029)
1.6.1 North America AI In Diagnostic Imaging Market Size (2018-2029)
1.6.2 Europe AI In Diagnostic Imaging Market Size (2018-2029)
1.6.3 Asia-Pacific AI In Diagnostic Imaging Market Size (2018-2029)
1.6.4 Latin America AI In Diagnostic Imaging Market Size (2018-2029)
1.6.5 Middle East & Africa AI In Diagnostic Imaging Market Size (2018-2029)
2 AI In Diagnostic Imaging Market by Type
2.1 Introduction
2.1.1 Hardware
2.1.2 Software
2.1.3 Services
2.2 Global AI In Diagnostic Imaging Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global AI In Diagnostic Imaging Historic Market Size by Type (2018-2023)
2.2.2 Global AI In Diagnostic Imaging Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America AI In Diagnostic Imaging Revenue Breakdown by Type (2018-2029)
2.3.2 Europe AI In Diagnostic Imaging Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific AI In Diagnostic Imaging Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America AI In Diagnostic Imaging Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa AI In Diagnostic Imaging Revenue Breakdown by Type (2018-2029)
3 AI In Diagnostic Imaging Market Overview by Application
3.1 Introduction
3.1.1 Hospitals
3.1.2 Ambulatory Surgical Centers
3.1.3 Diagnostic Centers
3.1.4 Others
3.2 Global AI In Diagnostic Imaging Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global AI In Diagnostic Imaging Historic Market Size by Application (2018-2023)
3.2.2 Global AI In Diagnostic Imaging Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America AI In Diagnostic Imaging Revenue Breakdown by Application (2018-2029)
3.3.2 Europe AI In Diagnostic Imaging Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific AI In Diagnostic Imaging Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America AI In Diagnostic Imaging Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa AI In Diagnostic Imaging Revenue Breakdown by Application (2018-2029)
4 AI In Diagnostic Imaging Competition Analysis by Players
4.1 Global AI In Diagnostic Imaging Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in AI In Diagnostic Imaging as of 2022)
4.3 Date of Key Players Enter into AI In Diagnostic Imaging Market
4.4 Global Top Players AI In Diagnostic Imaging Headquarters and Area Served
4.5 Key Players AI In Diagnostic Imaging Product Solution and Service
4.6 Competitive Status
4.6.1 AI In Diagnostic Imaging Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 GE Healthcare
5.1.1 GE Healthcare Profile
5.1.2 GE Healthcare Main Business
5.1.3 GE Healthcare AI In Diagnostic Imaging Products, Services and Solutions
5.1.4 GE Healthcare AI In Diagnostic Imaging Revenue (US$ Million) & (2018-2023)
5.1.5 GE Healthcare Recent Developments
5.2 Canon
5.2.1 Canon Profile
5.2.2 Canon Main Business
5.2.3 Canon AI In Diagnostic Imaging Products, Services and Solutions
5.2.4 Canon AI In Diagnostic Imaging Revenue (US$ Million) & (2018-2023)
5.2.5 Canon Recent Developments
5.3 Siemens Healthineers
5.3.1 Siemens Healthineers Profile
5.3.2 Siemens Healthineers Main Business
5.3.3 Siemens Healthineers AI In Diagnostic Imaging Products, Services and Solutions
5.3.4 Siemens Healthineers AI In Diagnostic Imaging Revenue (US$ Million) & (2018-2023)
5.3.5 Subtle Medical Recent Developments
5.4 Subtle Medical
5.4.1 Subtle Medical Profile
5.4.2 Subtle Medical Main Business
5.4.3 Subtle Medical AI In Diagnostic Imaging Products, Services and Solutions
5.4.4 Subtle Medical AI In Diagnostic Imaging Revenue (US$ Million) & (2018-2023)
5.4.5 Subtle Medical Recent Developments
5.5 DeepMind
5.5.1 DeepMind Profile
5.5.2 DeepMind Main Business
5.5.3 DeepMind AI In Diagnostic Imaging Products, Services and Solutions
5.5.4 DeepMind AI In Diagnostic Imaging Revenue (US$ Million) & (2018-2023)
5.5.5 DeepMind Recent Developments
5.6 Samsung Healthcare
5.6.1 Samsung Healthcare Profile
5.6.2 Samsung Healthcare Main Business
5.6.3 Samsung Healthcare AI In Diagnostic Imaging Products, Services and Solutions
5.6.4 Samsung Healthcare AI In Diagnostic Imaging Revenue (US$ Million) & (2018-2023)
5.6.5 Samsung Healthcare Recent Developments
5.7 Koninklijke Philips N.V.
5.7.1 Koninklijke Philips N.V. Profile
5.7.2 Koninklijke Philips N.V. Main Business
5.7.3 Koninklijke Philips N.V. AI In Diagnostic Imaging Products, Services and Solutions
5.7.4 Koninklijke Philips N.V. AI In Diagnostic Imaging Revenue (US$ Million) & (2018-2023)
5.7.5 Koninklijke Philips N.V. Recent Developments
5.8 Butterfly Network
5.8.1 Butterfly Network Profile
5.8.2 Butterfly Network Main Business
5.8.3 Butterfly Network AI In Diagnostic Imaging Products, Services and Solutions
5.8.4 Butterfly Network AI In Diagnostic Imaging Revenue (US$ Million) & (2018-2023)
5.8.5 Butterfly Network Recent Developments
6 North America
6.1 North America AI In Diagnostic Imaging Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe AI In Diagnostic Imaging Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific AI In Diagnostic Imaging Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America AI In Diagnostic Imaging Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa AI In Diagnostic Imaging Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 AI In Diagnostic Imaging Market Dynamics
11.1 AI In Diagnostic Imaging Industry Trends
11.2 AI In Diagnostic Imaging Market Drivers
11.3 AI In Diagnostic Imaging Market Challenges
11.4 AI In Diagnostic Imaging Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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