This report was recently updated on April 12 2024 with the latest and most recent
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Global AI In Medical Diagnostics Market Size, Trends & Analysis - Forecasts to 2027 By Components (Hardware, AI-based Software Tools/Platforms, Services), By Usage (In-Vivo Diagnostics, In-Vitro Diagnostics), By Modality (MRI, CT scan, X-rays, Ultrasound, Others), By AI Technology (NLP, Computer Vision, Machine Learning, Context-Aware Computing, Others), By Application (Computer-Aided Detection, Computer-Aided Diagnosis, Quantitative Analysis Tools, Clinical Decision Support), By End-User (Hospitals, Diagnostic Imaging Centers, Diagnostic Laboratories, Others), By Region (North America, Asia Pacific, CSA, Europe, and the Middle East and Africa), Company Market Share Analysis, and Competitor Analysis
The Global AI in Medical Diagnostics Market is projected to grow at a CAGR value of 51.5% from 2022 to 2027.
Artificial Intelligence (AI) has led to a positive transformation in medical diagnostics. Artificial intelligence (AI) has become synonymous with assistance and efficiency in healthcare. According to CRICO, 1 in 3 malpractices cases resulting in death or permanent disability is caused by inaccurate or delayed diagnostics. Thus, the problem of diagnostic is a significant problem in healthcare. Government incentives to boost the adoption of AI-based technologies, growing preference for AI tools in the healthcare field, an increasing aim to reduce radiologists' volume of work, an influx of large and complex datasets, a rise in funding for AI-based start-ups, and a boost in cross-industry partnerships and alliances are all driving growth in this market.
The rising demand for reducing the cost of healthcare services, rising need for analyzing large and complicated datasets, increasing demand for diagnostic as growing no. of health diseases, computing efficiency, and rising potential in AI for the healthcare sector are driving market growth. Furthermore, government investment in healthcare infrastructure to deliver advanced medical treatment, rising pressure regarding medical staff workload, and integration of data-centric therapy due to readily available data are forecasted to grow the market of AI globally.
The healthcare industry is increasingly integrating artificial intelligence (AI)-powered solutions in multiple verticals to improve operational and clinical outcomes, which is a major contributor to the industry's growth. Demand for computerized, continuous innovation is being driven by overburdened healthcare systems having to cope with the fast-expanding global incidence of chronic diseases. For instance, the World Health Organization (WHO) estimated a global shortage of 4.3 million healthcare workers in 2019.
The continuing COVID-19 pandemic exposed the flaws in the current healthcare system. It has expedited the introduction of digital technologies, such as artificial intelligence (AI) in diagnostics to reliably evaluate complicated information and relieve physicians of administrative and operational responsibilities. The expansion of the market was aided by the creation of start-ups and increased recognition in the form of funding and investments.
Based on the component, the AI in the medical diagnostics market is divided into hardware, AI-based software tools/platforms, and services. The AI-based software platform segment is expected to be the fastest-growing segment in the market from 2022 to 2027. The software used in the diagnostic devices ensures test precision. The diagnostic test is precise with an AI-based software platform adaptation, and data handling is more sound and efficiently balanced. With the advancement of technology and cloud-based AI, the demand for software is increasing and drives the growth opportunity of the market.
Based on the usage, the AI in the medical diagnostics market is divided into in-vivo diagnostics and in-vitro diagnostics. The in-vivo diagnostic segment is expected to be the fastest-growing segment in the market from 2022 to 2027. Due to the sheer ease of culture for production as compared to the use of animals, in vitro methods are frequently the preferred treatment for large-scale manufacturing by the pharma industry. In vitro procedures also eliminate or reduce the necessity for laboratory employees who are familiar with animal handling.
Based on the modality, the AI in the medical diagnostics market is divided into MRI, CT scan, X-rays, ultrasound, and others. The CT scan segment is expected to be the fastest-growing segment in the market from 2022 to 2027. The key drivers are its affordability to consumers, high-rise in-patient population, and adoption of advanced technology with AI.
The AI in the medical diagnostics market is divided into NLP, computer vision, machine learning, context-aware computing, and others, based on AI technology. The computer vision segment is expected to be the fastest-growing segment in the market from 2022 to 2027. This is owing to their ability to perform one-stop solutions for data and complex algorithms, image classification, detecting objects and tracking clearly at a faster rate, making work easier for humans, and well-trained computer vision systems will make no mistakes, pushing the market growth.
The ai in the medical diagnostics market is divided into computer-aided detection, computer-aided diagnosis, quantitative analysis tools, and clinical decision support based on the application.
The computer-aided diagnosis (CAD) segment is expected to be the fastest-growing segment in the market from 2022 to 2027. Improved sensitivity, decreased error, and false-negative rate, along with performance efficiency are driving the segment growth. Unlike mammography, which is difficult to interpret and has a higher risk of double-reading cancer due to human mistakes. CAD is used to eliminate double-reading errors and other complications.
Based on the end-user, the AI in the medical diagnostics market is divided into hospitals, diagnostic imaging centers, diagnostic laboratories, and others. The hospital segment is proposed to be the fastest-growing market from 2022 to 2027. The growing need for AI-based devices in hospitals that are used for their diagnosis to reduce complexities and errors, reduce cost and time, and be done easily by trained staff and professionals. Many hospitals are tied up with technology companies to provide cloud-based AI solutions and services to their patients this will boost the efficiency and sales of the hospitals by deploying these solutions in their daily usage.
As per the geographical analysis, the AI in the medical diagnostics market can be classified into North America (the United States, Canada, and Mexico), Asia Pacific (India, China, Japan, Malaysia, Singapore, and the Rest of Asia Pacific), Europe (Germany, United Kingdom, Italy, France, Spain, Netherlands, and Rest of Europe), Middle East & Africa (Saudi Arabia, United Arab Emirates, and Rest of the Middle East & Africa) and Central & South America (Brazil, Argentina, and Rest of Central and South America).
North America (the United States, Canada, and Mexico), will have a dominant share in the AI in the medical diagnostics market from 2022 to 2027. The key drivers for the region's growing dominant share are increased adaptation to advanced cloud-based technologies and the high healthcare spending in the region. Also, rising investment in the advanced AI diagnostics sector and a larger concentration of players in these countries are contributing to regional growth.
Moreover, the Asia Pacific (India, China, Japan, Malaysia, Singapore, and the Rest of Asia Pacific) region is proposed to be the fastest-growing segment in the AI in the medical diagnostics market during the forecast period. Improved medical diagnostic infrastructure as well as technological breakthroughs in countries like Japan and South Korea. Furthermore, regional market development is influenced by the availability of equity investments and start up incubation. The increased frequency of acute and chronic disorders in the region, as well as the growing elderly population, are likely to boost the market growth.
Microsoft Corporation, NVIDIA, IBM, Intel, Siemens Healthineers, GE Healthcare, Digital Diagnostics, Xilinx, InformAI, Enlitic, among others are the key players in AI in medical diagnostics market.
Please note: This is not an exhaustive list of companies profiled in the report.
Chapter 1 Methodology
1.1 Market Scope & Definitions
1.2 Estimates & Forecast Calculation
1.3 Historical Data Overview and Validation
1.4 Data Sources
1.4.1 Secondary
1.4.2 Primary
Chapter 2 Report Outlook
2.1 Artificial Intelligence in Medical Diagnostics Industry Overview, 2022-2027
2.1.1 Industry Overview
2.1.2 Component Overview
2.1.3 Usage Overview
2.1.4 Modality Overview
2.1.5 AI Technology Overview
2.1.6 Application Overview
2.1.7 Modality Overview
2.1.8 Regional Overview
Chapter 3 Artificial Intelligence in Medical Diagnostics Market Trends
3.1 Market Segmentation
3.2 Industry Background, 2022-2027
3.3 Market Key Trends
3.3.1 Positive Trends
3.3.1.1 Rising demand for advanced disease diagnosis
3.3.2 Industry Challenges
3.3.2.1 Privacy and cybersecurity issues with data management
3.4 Prospective Growth Scenario
3.4.1 Component Growth Scenario
3.4.2 Usage Growth Scenario
3.4.3 Modality Growth Scenario
3.4.4 AI Technology Growth Scenario
3.4.5 Application Mode Scenario
3.4.6 Modality Scenario
3.4.7 Regional Scenario
3.5 COVID-19 Influence over Industry Growth
3.6 Porter’s Analysis
3.7 PESTEL Analysis
3.8 Value Chain & Supply Chain Analysis
3.9 Regulatory Framework
3.9.1 North America
3.9.2 Europe
3.9.3 APAC
3.9.4 LATAM
3.9.5 MEA
3.10 AI Technology Overview
3.11 Market Share Analysis, 2021
3.11.1 Company Positioning Overview, 2021
Chapter 4 Artificial Intelligence in Medical Diagnostics Market, By Component
4.1 Component Outlook
4.2 Hardware
4.2.1 Market Size, By Region, 2022-2027 (USD Billion)
4.3 AI-based Software Tools/Components
4.3.1 Market Size, By Region, 2022-2027 (USD Billion)
4.4 Services
4.4.1 Market Size, By Region, 2022-2027 (USD Billion)
Chapter 5 Artificial Intelligence in Medical Diagnostics Market, By Usage
5.1 Usage Outlook
5.2 In-Vivo Diagnostics
5.2.1 Market Size, By Region, 2022-2027 (USD Billion)
5.3 In-Vitro Diagnostics
5.3.1 Market Size, By Region, 2022-2027 (USD Billion)
Chapter 6 Artificial Intelligence in Medical Diagnostics Market, By Modality
6.1 MRI
6.1.1 Market Size, By Region, 2022-2027 (USD Billion)
6.2 CT scan
6.2.1 Market Size, By Region, 2022-2027 (USD Billion)
6.3 X-rays
6.3.1 Market Size, By Region, 2022-2027 (USD Billion)
6.4 Ultrasound
6.4.1 Market Size, By Region, 2022-2027 (USD Billion)
6.5 Others
6.5.1 Market Size, By Region, 2022-2027 (USD Billion)
Chapter 7 Artificial Intelligence in Medical Diagnostics Market, By AI AI Technology
7.1 NLP
7.1.1 Market Size, By Region, 2022-2027 (USD Billion)
7.2 Computer Vision
7.2.1 Market Size, By Region, 2022-2027 (USD Billion)
7.3 Machine Learning
7.3.1 Market Size, By Region, 2022-2027 (USD Billion)
7.4 Context-Aware Computing
7.4.1 Market Size, By Region, 2022-2027 (USD Billion)
7.5 Others
7.5.1 Market Size, By Region, 2022-2027 (USD Billion)
Chapter 8 Artificial Intelligence in Medical Diagnostics Market, By Application
8.1 Computer-Aided Detection
8.1.1 Market Size, By Region, 2022-2027 (USD Billion)
8.2 Computer-Aided Diagnosis
8.2.1 Market Size, By Region, 2022-2027 (USD Billion)
8.3 Quantitative Analysis Tools
8.3.1 Market Size, By Region, 2022-2027 (USD Billion)
8.4 Clinical Decision Support
8.4.1 Market Size, By Region, 2022-2027 (USD Billion)
Chapter 9 Artificial Intelligence in Medical Diagnostics Market, By Modality
9.1 Hospitals
9.1.1 Market Size, By Region, 2022-2027 (USD Billion)
9.2 Diagnostic Imaging Centers
9.2.1 Market Size, By Region, 2022-2027 (USD Billion)
9.3 Diagnostic Laboratories
9.3.1 Market Size, By Region, 2022-2027 (USD Billion)
9.4 Others
9.4.1 Market Size, By Region, 2022-2027 (USD Billion)
Chapter 10 Artificial Intelligence in Medical Diagnostics Market, By Region
10.1 Regional outlook
10.2 North America
10.2.1 Market Size, By Country 2022-2027 (USD Billion)
10.2.2 Market Size, By Component, 2022-2027 (USD Billion)
10.2.3 Market Size, By Usage, 2022-2027 (USD Billion)
10.2.4 Market Size, By Modality, 2022-2027 (USD Billion)
10.2.5 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.2.6 Market Size, Application, 2022-2027 (USD Billion)
10.2.7 Market Size, By End-User, 2022-2027 (USD Billion)
10.2.8 Market Size, By Regional, 2022-2027 (USD Billion)
10.2.9 U.S.
10.2.9.1 Market Size, By Component, 2022-2027 (USD Billion)
10.2.9.2 Market Size, By Usage, 2022-2027 (USD Billion)
10.2.9.3 Market Size, By Modality, 2022-2027 (USD Billion)
10.2.9.4 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.2.9.5 Market Size, Application, 2022-2027 (USD Billion)
10.2.9.6 Market Size, By End-User, 2022-2027 (USD Billion)
10.2.9.7 Market Size, By Regional, 2022-2027 (USD Billion)
10.2.10 Canada
10.2.10.1 Market Size, By Component, 2022-2027 (USD Billion)
10.2.10.2 Market Size, By Usage, 2022-2027 (USD Billion)
10.2.10.3 Market Size, By Modality, 2022-2027 (USD Billion)
10.2.10.4 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.2.10.5 Market Size, Application, 2022-2027 (USD Billion)
10.2.10.6 Market Size, By End-User, 2022-2027 (USD Billion)
10.2.10.7 Market Size, By Regional, 2022-2027 (USD Billion)
10.2.10 Mexico
10.2.11.1 Market Size, By Component, 2022-2027 (USD Billion)
10.2.11.2 Market Size, By Usage, 2022-2027 (USD Billion)
10.2.11.3 Market Size, By Modality, 2022-2027 (USD Billion)
10.2.11.4 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.2.11.5 Market Size, Application, 2022-2027 (USD Billion)
10.2.11.6 Market Size, By End-User, 2022-2027 (USD Billion)
10.2.10.7 Market Size, By Regional, 2022-2027 (USD Billion)
10.3 Europe
10.3.1 Market Size, By Country 2022-2027 (USD Billion)
10.3.2 Market Size, By Component, 2022-2027 (USD Billion)
10.3.3 Market Size, By Usage, 2022-2027 (USD Billion)
10.3.4 Market Size, By Modality, 2022-2027 (USD Billion)
10.3.5 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.3.6 Market Size, Application, 2022-2027 (USD Billion)
10.3.7 Market Size, By End-User, 2022-2027 (USD Billion)
10.3.8 Market Size, By Regional, 2022-2027 (USD Billion)
10.3.9 Germany
10.3.9.1 Market Size, By Component, 2022-2027 (USD Billion)
10.3.9.2 Market Size, By Usage, 2022-2027 (USD Billion)
10.3.9.3 Market Size, By Modality, 2022-2027 (USD Billion)
10.3.9.4 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.3.9.5 Market Size, Application, 2022-2027 (USD Billion)
10.3.9.6 Market Size, By End-User, 2022-2027 (USD Billion)
10.3.9.7 Market Size, By Regional, 2022-2027 (USD Billion)
10.3.10 UK
10.3.10.1 Market Size, By Component, 2022-2027 (USD Billion)
10.3.10.2 Market Size, By Usage, 2022-2027 (USD Billion)
10.3.10.3 Market Size, By Modality, 2022-2027 (USD Billion)
10.3.10.4 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.3.10.5 Market Size, Application, 2022-2027 (USD Billion)
10.3.10.6 Market Size, By End-User, 2022-2027 (USD Billion)
10.3.10.7 Market Size, By Regional, 2022-2027 (USD Billion)
10.3.11 France
10.3.11.1 Market Size, By Component, 2022-2027 (USD Billion)
10.3.11.2 Market Size, By Usage, 2022-2027 (USD Billion)
10.3.11.3 Market Size, By Modality, 2022-2027 (USD Billion)
10.3.11.4 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.3.11.5 Market Size, Application, 2022-2027 (USD Billion)
10.3.11.6 Market Size, By End-User, 2022-2027 (USD Billion)
10.3.11.7 Market Size, By Regional, 2022-2027 (USD Billion)
10.4 Asia Pacific
10.4.1 Market Size, By Country 2022-2027 (USD Billion)
10.4.2 Market Size, By Component, 2022-2027 (USD Billion)
10.4.3 Market Size, By Usage, 2022-2027 (USD Billion)
10.4.4 Market Size, By Modality, 2022-2027 (USD Billion)
10.4.5 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.4.6 Market Size, Application, 2022-2027 (USD Billion)
10.4.7 Market Size, By End-User, 2022-2027 (USD Billion)
10.4.8 Market Size, By Regional, 2022-2027 (USD Billion)
10.4.9 China
10.4.9.1 Market Size, By Component, 2022-2027 (USD Billion)
10.4.9.2 Market Size, By Usage, 2022-2027 (USD Billion)
10.4.9.3 Market Size, By Modality, 2022-2027 (USD Billion)
10.4.9.4 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.4.9.5 Market Size, Application, 2022-2027 (USD Billion)
10.4.9.6 Market Size, By End-User, 2022-2027 (USD Billion)
10.4.9.7 Market Size, By Regional, 2022-2027 (USD Billion)
10.4.10 India
10.4.10.1 Market Size, By Component, 2022-2027 (USD Billion)
10.4.10.2 Market Size, By Usage, 2022-2027 (USD Billion)
10.4.10.3 Market Size, By Modality, 2022-2027 (USD Billion)
10.4.10.4 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.4.10.5 Market Size, Application, 2022-2027 (USD Billion)
10.4.10.6 Market Size, By End-User, 2022-2027 (USD Billion)
11.4.10.7 Market Size, By Regional, 2022-2027 (USD Billion)
10.4.11 Japan
10.4.11.1 Market Size, By Component, 2022-2027 (USD Billion)
10.4.11.2 Market Size, By Usage, 2022-2027 (USD Billion)
10.4.11.3 Market Size, By Modality, 2022-2027 (USD Billion)
10.4.11.4 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.4.11.5 Market Size, Application, 2022-2027 (USD Billion)
10.4.11.6 Market Size, By End-User, 2022-2027 (USD Billion)
10.4.11.7 Market Size, By Regional, 2022-2027 (USD Billion)
10.5 MEA
10.5.1 Market Size, By Country 2022-2027 (USD Billion)
10.5.2 Market Size, By Component, 2022-2027 (USD Billion)
10.5.3 Market Size, By Usage, 2022-2027 (USD Billion)
10.5.4 Market Size, By Modality, 2022-2027 (USD Billion)
10.5.5 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.5.6 Market Size, Application, 2022-2027 (USD Billion)
10.5.7 Market Size, By End-User, 2022-2027 (USD Billion)
10.5.8 Market Size, By Regional, 2022-2027 (USD Billion)
10.5.9 Saudi Arabia
10.5.9.1 Market Size, By Component, 2022-2027 (USD Billion)
10.5.9.2 Market Size, By Usage, 2022-2027 (USD Billion)
10.5.9.3 Market Size, By Modality, 2022-2027 (USD Billion)
10.5.9.4 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.5.9.5 Market Size, Application, 2022-2027 (USD Billion)
10.5.9.6 Market Size, By End-User, 2022-2027 (USD Billion)
10.5.9.7 Market Size, By Regional, 2022-2027 (USD Billion)
10.5.10 UAE
10.5.10.1 Market Size, By Component, 2022-2027 (USD Billion)
10.5.10.2 Market Size, By Usage, 2022-2027 (USD Billion)
10.5.10.3 Market Size, By Modality, 2022-2027 (USD Billion)
10.5.10.4 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.5.10.5 Market Size, Application, 2022-2027 (USD Billion)
10.5.10.6 Market Size, By End-User, 2022-2027 (USD Billion)
10.5.10.7 Market Size, By Regional, 2022-2027 (USD Billion)
10.6 CSA
10.6.1 Market Size, By Country 2022-2027 (USD Billion)
10.6.2 Market Size, By Component, 2022-2027 (USD Billion)
10.6.3 Market Size, By Usage, 2022-2027 (USD Billion)
10.6.4 Market Size, By Modality, 2022-2027 (USD Billion)
10.6.5 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.6.6 Market Size, Application, 2022-2027 (USD Billion)
10.6.7 Market Size, By End-User, 2022-2027 (USD Billion)
10.6.8 Market Size, By Regional, 2022-2027 (USD Billion)
10.6.9 Brazil
10.6.9.1 Market Size, By Component, 2022-2027 (USD Billion)
10.6.9.2 Market Size, By Usage, 2022-2027 (USD Billion)
10.6.9.3 Market Size, By Modality, 2022-2027 (USD Billion)
10.6.9.4 Market Size, By AI Technology, 2022-2027 (USD Billion)
10.6.9.5 Market Size, Application, 2022-2027 (USD Billion)
10.6.9.6 Market Size, By End-User, 2022-2027 (USD Billion)
10.6.9.7 Market Size, By Regional, 2022-2027 (USD Billion)
Chapter 11 Company Landscape
11.1 Competitive Analysis, 2022
11.2 Microsoft Corporation
11.2.1 Company Overview
11.2.2 Financial Analysis
11.2.3 Strategic Positioning
11.2.4 Info Graphic Analysis
11.3 NVIDIA
11.3.1 Company Overview
11.3.2 Financial Analysis
11.3.3 Strategic Positioning
11.3.4 Info Graphic Analysis
11.4 IBM
11.4.1 Company Overview
11.4.2 Financial Analysis
11.4.3 Strategic Positioning
11.4.4 Info Graphic Analysis
11.5 Intel
11.5.1 Company Overview
11.5.2 Financial Analysis
11.5.3 Strategic Positioning
11.5.4 Info Graphic Analysis
11.6 Siemens Healthineers
11.6.1 Company Overview
11.6.2 Financial Analysis
11.6.3 Strategic Positioning
11.6.4 Info Graphic Analysis
11.7 GE Healthcare
11.7.1 Company Overview
11.7.2 Financial Analysis
11.7.3 Strategic Positioning
11.7.4 Info Graphic Analysis
11.8 Digital Diagnostics
11.10.1 Company Overview
11.10.2 Financial Analysis
11.10.3 Strategic Positioning
11.10.4 Info Graphic Analysis
11.11 Xilinx
11.12.1 Company Overview
11.12.2 Financial Analysis
11.12.3 Strategic Positioning
11.12.4 Info Graphic Analysis
11.10 InformAI
11.10.1 Company Overview
11.10.2 Financial Analysis
11.10.3 Strategic Positioning
11.10.4 Info Graphic Analysis
11.11 Enlitic
11.11.1 Company Overview
11.11.2 Financial Analysis
11.11.3 Strategic Positioning
11.11.4 Info Graphic Analysis
11.12 Other Companies
11.12.1 Company Overview
11.12.2 Financial Analysis
11.12.3 Strategic Positioning
11.12.4 Info Graphic Analysis
The Global AI In Medical Diagnostics Market has been studied from the year 2019 till 2027. However, the CAGR provided in the report is from the year 2022 to 2027. The research methodology involved three stages: Desk research, Primary research, and Analysis & Output from the entire research process.
The desk research involved a robust background study which meant referring to paid and unpaid databases to understand the market dynamics; mapping contracts from press releases; identifying the key players in the market, studying their product portfolio, competition level, annual reports/SEC filings & investor presentations; and learning the demand and supply-side analysis for the AI In Medical Diagnostics Market.
The primary research activity included telephonic conversations with more than 50 tier 1 industry consultants, distributors, and end-use product manufacturers.
Finally, based on the above thorough research process, an in-depth analysis was carried out considering the following aspects: market attractiveness, current & future market trends, market share analysis, SWOT analysis of the company and customer analytics.
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