Global AI-based Medical Diagnostic Tools Market Size By Application (Eye Care, Oncology, Radiology), By Diagnostic tool (Medical Imaging Tools, Automated Detection Systems), By Geographic Scope And Forecast
Report ID: 50576|No. of Pages: 202
Global AI-based Medical Diagnostic Tools Market Size By Application (Eye Care, Oncology, Radiology), By Diagnostic tool (Medical Imaging Tools, Automated Detection Systems), By Geographic Scope And Forecast
AI-based Medical Diagnostic Tools Market Size And Forecast
AI-based Medical Diagnostic Tools Market size was valued at USD 1,035.7 Million in 2024 and is projected to reach USD 7,842.4 Million by 2031, growing at a CAGR of 27.67% from 2024 to 2031.
At various stages of the care delivery process, big data—large and complex data—is generated as a result of the healthcare industry’s growing digitization and adoption of information systems. The Global AI-based Medical Diagnostic Tools Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.
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Global AI-based Medical Diagnostic Tools Market Definition
The process of transferring human intelligence into machines or computer technologies is known as artificial intelligence (AI). The primary focus of AI-based medical diagnostic tools is the AI program’s construction for disease diagnosis and therapy recommendations. The symbolic models of disease serve as the foundation for these diagnostic tools. Learning and expert systems are the most important AI applications for medical diagnosis. Expert systems-based diagnostic tools are computer programs that use knowledge processing, facts, and inference to diagnose diseases. A learning framework based demonstrative device uses measurable example acknowledgment, AI strategies, and brain networks for the sickness determination.
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Global AI-based Medical Diagnostic Tools Market Overview
At various stages of the care delivery process, big data—large and complex data—is generated as a result of the healthcare industry’s growing digitization and adoption of information systems. In the clinical diagnostics industry, large information involves data created from clickstream and web and virtual entertainment connections; readings from clinical gadgets, like sensors, ECGs, X-beams, medical care claims, and other charging records; as well as biometric data and other sources. Specialists and radiologists accept that abilities like compassion and influence are human abilities; As a result, medical professionals can’t be completely ruled out by technology.
In addition, there is a concern that patients may have an excessive preference for these technologies and may disregard necessary in-person treatments, posing a challenge to long-term relationships between doctors and patients. There are a number of healthcare professionals who are skeptical about the accuracy with which AI can diagnose patients’ conditions. Accordingly, persuading suppliers that artificial intelligence based is testing arrangements are practical, effective, and safe arrangements that deal specialists accommodation and better patient consideration. Nonetheless, medical care suppliers are progressively tolerating the likely advantages of AIbased arrangements and the range of uses it serves.
As a result, it’s possible that doctors and radiologists will gravitate toward AI-based healthcare technologies more in the future. The greatest obstacle for healthcare organizations is overcoming financial constraints, particularly in emerging economies where it is frequently difficult to secure IT budgets over medical equipment. The significant expense of imaging hardware and execution and permitting expenses of computer based intelligence programming are the main considerations controlling business sector development, explicitly in nations where the repayment situation is poor. For instance, the majority of healthcare facilities in developing nations cannot afford AI solutions because of the high costs of installation and upkeep.
The adoption of new or technologically advanced systems is being hampered by this factor. Additionally, the implementation and licensing fees impose a significant financial burden on end users. Attributable to these spending plan limitations, little medical care offices can’t bear the cost of these arrangements. As a result, AI expansion in the AI-based Medical Diagnostic Tools Market is anticipated to suffer. Based on component, the global market is divided into software and services. The market was dominated by the services segment, but the software segment is expected to expand at a higher CAGR over the forecast period. Software solutions give healthcare providers a leg up on the competition, even though they have to deal with a lack of staff and rising volumes of imaging scans.
Global AI-based Medical Diagnostic Tools Market Segmentation Analysis
The Global AI-based Medical Diagnostic Tools Market is Segmented on the basis of Application, Diagnostic tool, and Geography.
AI-based Medical Diagnostic Tools Market, By Application
- Eye Care
- Oncology
- Radiology
- Cardiovascular
- Pathology
- Others
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Based on Application, the market is bifurcated into Eye Care, Oncology, Radiology, Cardiovascular, Pathology, and Others. In the eye care segment, AI is increasingly being used for the diagnosis of diabetic retinopathy. Several solutions are available in the market that use AI that analyses images of the retina for signs of diabetic retinopathy, a complication of diabetes caused by high sugar levels.
AI-based Medical Diagnostic Tools Market, By Diagnostic tool
- Medical Imaging Tools
- Automated Detection Systems
- Others
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Based on Diagnostic tool, the market is bifurcated into Medical Imaging Tools, Automated Detection Systems, and Others. Medical Imaging Tools accounted for the largest market share in 2018. AI-based medical imaging tools rely on an enormous supply of medical data to derive its algorithms to discover patterns in images and detection of specific anatomical markers.
AI-based Medical Diagnostic Tools Market, By Geography
- North America
- Europe
- Asia Pacific
- Rest of the world
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On the basis of regional analysis, the Global AI-based Medical Diagnostic Tools Market is classified into North America, Europe, Asia Pacific and Rest of the world. North America is expected to hold the largest market share of the Robo-Taxi over the forecast period followed by Europe. The healthcare authorities in North America are commenting themselves to the power of Artificial Intelligence in order to raise the level of acute care in hospitals with experts.
Key Players
The “Global AI-based Medical Diagnostic Tools Market” study report will provide valuable insight with an emphasis on the global market including some of the major players such as Microsoft, NVIDIA, IBM, Intel Corporation, Google, Inc, Siemens Healthineers, GE Healthcare, Digital Diagnostics, Inc, Xilinx, InformAI LLC, HeartFlow, Inc.
Our market analysis also entails a section solely dedicated for such major players wherein our analysts provide an insight to the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share and market ranking analysis of the above-mentioned players globally.
Key Developments
- In 2021, Microsoft (US) partnered with Truveta (US), which will use the power of Microsoft Azure and artificial intelligence to help Truveta realize its goal of saving lives with data.
- Humana Inc. and IBM (USA) collaborated in 2021. IBM’s Watson Assistant is used by Humana for health benefits; This is an IBM Watson Health Cloud-built AI-enabled virtual agent.
- The first AI associate degree program designed by Intel in the United States will be offered in 2020 by Intel (US) and the Maricopa County Community College District (US). It empowered
- huge number of understudies to land medical services, car, modern, and aviation vocations.
- The Moorfields Eye Hospital in the United Kingdom and Google’s DeepMind division (US) have been working together since December 2019. This development aims to improve previous research on eye diseases and to assist eye doctors in determining a patient’s risk of developing an eye condition and directing them to medical care based on the urgency of the problem.
Ace Matrix Analysis
The Ace Matrix provided in the report would help to understand how the major key players involved in this industry are performing as we provide a ranking for these companies based on various factors such as service features & innovations, scalability, innovation of services, industry coverage, industry reach, and growth roadmap. Based on these factors, we rank the companies into four categories as Active, Cutting Edge, Emerging, and Innovators.
Market Attractiveness
The image of market attractiveness provided would further help to get information about the region that is majorly leading in the Global AI-based Medical Diagnostic Tools Market. We cover the major impacting factors that are responsible for driving the industry growth in the given region.
Porter’s Five Forces
The image provided would further help to get information about Porter’s five forces framework providing a blueprint for understanding the behavior of competitors and a player’s strategic positioning in the respective industry. The porter’s five forces model can be used to assess the competitive landscape in Global AI-based Medical Diagnostic Tools Market, gauge the attractiveness of a certain sector, and assess investment possibilities.
Report Scope
| REPORT ATTRIBUTES | DETAILS |
|---|---|
| Study Period | 2021-2031 |
| Base Year | 2024 |
| Forecast Period | 2024-2031 |
| Historical Period | 2021-2023 |
| Unit | Value (USD Million) |
| Key Companies Profiled | Microsoft, NVIDIA, IBM, Intel Corporation, Google, Inc, Siemens Healthineers, GE Healthcare, Digital Diagnostics, Inc, Xilinx, InformAI LLC, HeartFlow, Inc. |
| Segments Covered |
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| CUSTOMIZATION SCOPE | Free report customization (equivalent up to 4 analyst’s working days) with purchase. Addition or alteration to country, regional & segment scope |
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Research Methodology of Verified Market Research:
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Reasons to Purchase this Report
• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking and SWOT analysis for the major market players
• The current as well as the future market outlook of the industry with respect to recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes an in-depth analysis of the market of various perspectives through Porter’s five forces analysis
• Provides insight into the market through Value Chain
• Market dynamics scenario, along with growth opportunities of the market in the years to come
• 6-month post sales analyst support
Customization of the Report
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Frequently Asked Questions
1 INTRODUCTION OF THE GLOBAL AI-BASED MEDICAL DIAGNOSTIC TOOLS MARKET
1.1 Market Definition
1.2 Market Segmentation
1.3 Research Timelines
1.4 Assumptions
1.5 Limitations
2 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH
2.1 Data Mining
2.2 Data Triangulation
2.3 Bottom-Up Approach
2.4 Top-Down Approach
2.5 Research Flow
2.6 Key Insights from Industry Experts
2.7 Data Sources
3 EXECUTIVE SUMMARY
3.1 Market Overview
3.2 Ecology Mapping
3.3 Absolute Market Opportunity
3.4 Market Attractiveness
3.5 Global Ai-Based Medical Diagnostic Tools Market Geographical Analysis (CAGR %)
3.6 Global Ai-Based Medical Diagnostic Tools Market, By Application (USD Million)
3.7 Global Ai-Based Medical Diagnostic Tools Market, By Diagnostic Tool (USD Million)
3.8 Future Market Opportunities
3.9 Global Market Split
3.10 Product Life Line
4 GLOBAL AI-BASED MEDICAL DIAGNOSTIC TOOLS MARKET OUTLOOK
4.1 Global Ai-Based Medical Diagnostic Tools Market Evolution
4.2 Drivers
4.2.1 Driver 1
4.2.2 Driver 2
4.3 Restraints
4.3.1 Restraint 1
4.3.2 Restraint 2
4.4 Opportunities
4.4.1 Opportunity 1
4.4.2 Opportunity 2
4.5 Porters Five Force Model
4.6 Value Chain Analysis
4.7 Pricing Analysis
4.8 Macroeconomic Analysis
5 GLOBAL AI-BASED MEDICAL DIAGNOSTIC TOOLS MARKET, BY APPLICATION
5.1 Overview
5.2 Eye Care
5.3 Oncology
5.4 Radiology
5.5 Cardiovascular
5.6 Pathology
5.7 Others
6 GLOBAL AI-BASED MEDICAL DIAGNOSTIC TOOLS MARKET, BY DIAGNOSTIC TOOL
6.1 Overview
6.2 Medical Imaging Tools
6.3 Automated Detection Systems
6.4 Others
7 GLOBAL AI-BASED MEDICAL DIAGNOSTIC TOOLS MARKET, BY GEOGRAPHY
7.1 Overview
7.2 North America
7.2.1 U.S.
7.2.2 Canada
7.2.3 Mexico
7.3 Europe
7.3.1 Germany
7.3.2 U.K.
7.3.3 France
7.3.4 Italy
7.3.5 Spain
7.3.6 Rest of Europe
7.4 Asia Pacific
7.4.1 China
7.4.2 Japan
7.4.3 India
7.4.4 Rest of Asia Pacific
7.5 Latin America
7.5.1 Brazil
7.5.2 Argentina
7.5.3 Rest of Latin America
7.6 Middle-East and Africa
7.6.1 UAE
7.6.2 Saudi Arabia
7.6.3 South Africa
7.6.4 Rest of Middle-East and Africa
8 GLOBAL AI-BASED MEDICAL DIAGNOSTIC TOOLS MARKET COMPETITIVE LANDSCAPE
8.1 Overview
8.2 Company Market Ranking
8.3 Key Developments
8.4 Company Regional Footprint
8.5 Company Industry Footprint
8.6 ACE Matrix
9 COMPANY PROFILES
9.1 Microsoft
9.1.1 Company Overview
9.1.2 Company Insights
9.1.3 Product Benchmarking
9.1.4 Key Developments
9.1.5 Winning Imperatives
9.1.6 Current Focus & Strategies
9.1.7 Threat from Competition
9.1.8 SWOT Analysis
9.2 NVIDIA
9.2.1 Company Overview
9.2.2 Company Insights
9.2.3 Product Benchmarking
9.2.4 Key Developments
9.2.5 Winning Imperatives
9.2.6 Current Focus & Strategies
9.2.7 Threat from Competition
9.2.8 SWOT Analysis
9.3 IBM
9.3.1 Company Overview
9.3.2 Company Insights
9.3.3 Product Benchmarking
9.3.4 Key Developments
9.3.5 Winning Imperatives
9.3.6 Current Focus & Strategies
9.3.7 Threat from Competition
9.3.8 SWOT Analysis
9.4 Intel Corporation
9.4.1 Company Overview
9.4.2 Company Insights
9.4.3 Product Benchmarking
9.4.4 Key Developments
9.4.5 Winning Imperatives
9.4.6 Current Focus & Strategies
9.4.7 Threat from Competition
9.4.8 SWOT Analysis
9.5 Google, Inc
9.5.1 Company Overview
9.5.2 Company Insights
9.5.3 Product Benchmarking
9.5.4 Key Developments
9.5.5 Winning Imperatives
9.5.6 Current Focus & Strategies
9.5.7 Threat from Competition
9.5.8 SWOT Analysis
9.6 Siemens Healthineers
9.6.1 Company Overview
9.6.2 Company Insights
9.6.3 Product Benchmarking
9.6.4 Key Developments
9.6.5 Winning Imperatives
9.6.6 Current Focus & Strategies
9.6.7 Threat from Competition
9.6.8 SWOT Analysis
9.7 GE Healthcare
9.7.1 Company Overview
9.7.2 Company Insights
9.7.3 Product Benchmarking
9.7.4 Key Developments
9.7.5 Winning Imperatives
9.7.6 Current Focus & Strategies
9.7.7 Threat from Competition
9.7.8 SWOT Analysis
9.8 Digital Diagnostics, Inc
9.8.1 Company Overview
9.8.2 Company Insights
9.8.3 Product Benchmarking
9.8.4 Key Developments
9.8.5 Winning Imperatives
9.8.6 Current Focus & Strategies
9.8.7 Threat from Competition
9.8.8 SWOT Analysis
9.9 Xilinx
9.9.1 Company Overview
9.9.2 Company Insights
9.9.3 Product Benchmarking
9.9.4 Key Developments
9.9.5 Winning Imperatives
9.9.6 Current Focus & Strategies
9.9.7 Threat from Competition
9.9.8 SWOT Analysis
10 VERIFIED MARKET INTELLIGENCE
10.1 About Verified Market Intelligence
10.2 Dynamic Data Visualization
Report Research Methodology
Verified Market Research uses the latest researching tools to offer accurate data insights. Our experts deliver the best research reports that have revenue generating recommendations. Analysts carry out extensive research using both top-down and bottom up methods. This helps in exploring the market from different dimensions.
This additionally supports the market researchers in segmenting different segments of the market for analysing them individually.
We appoint data triangulation strategies to explore different areas of the market. This way, we ensure that all our clients get reliable insights associated with the market. Different elements of research methodology appointed by our experts include:
Exploratory data mining
Market is filled with data. All the data is collected in raw format that undergoes a strict filtering system to ensure that only the required data is left behind. The leftover data is properly validated and its authenticity (of source) is checked before using it further. We also collect and mix the data from our previous market research reports.
All the previous reports are stored in our large in-house data repository. Also, the experts gather reliable information from the paid databases.
For understanding the entire market landscape, we need to get details about the past and ongoing trends also. To achieve this, we collect data from different members of the market (distributors and suppliers) along with government websites.
Last piece of the ‘market research’ puzzle is done by going through the data collected from questionnaires, journals and surveys. VMR analysts also give emphasis to different industry dynamics such as market drivers, restraints and monetary trends. As a result, the final set of collected data is a combination of different forms of raw statistics. All of this data is carved into usable information by putting it through authentication procedures and by using best in-class cross-validation techniques.
Data Collection Matrix
| Perspective | Primary Research | Secondary Research |
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| Supplier side |
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| Demand side |
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Econometrics and data visualization model
Our analysts offer market evaluations and forecasts using the industry-first simulation models. They utilize the BI-enabled dashboard to deliver real-time market statistics. With the help of embedded analytics, the clients can get details associated with brand analysis. They can also use the online reporting software to understand the different key performance indicators.
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The collected data includes market dynamics, technology landscape, application development and pricing trends. All of this is fed to the research model which then churns out the relevant data for market study.
Our market research experts offer both short-term (econometric models) and long-term analysis (technology market model) of the market in the same report. This way, the clients can achieve all their goals along with jumping on the emerging opportunities. Technological advancements, new product launches and money flow of the market is compared in different cases to showcase their impacts over the forecasted period.
Analysts use correlation, regression and time series analysis to deliver reliable business insights. Our experienced team of professionals diffuse the technology landscape, regulatory frameworks, economic outlook and business principles to share the details of external factors on the market under investigation.
Different demographics are analyzed individually to give appropriate details about the market. After this, all the region-wise data is joined together to serve the clients with glo-cal perspective. We ensure that all the data is accurate and all the actionable recommendations can be achieved in record time. We work with our clients in every step of the work, from exploring the market to implementing business plans. We largely focus on the following parameters for forecasting about the market under lens:
- Market drivers and restraints, along with their current and expected impact
- Raw material scenario and supply v/s price trends
- Regulatory scenario and expected developments
- Current capacity and expected capacity additions up to 2027
We assign different weights to the above parameters. This way, we are empowered to quantify their impact on the market’s momentum. Further, it helps us in delivering the evidence related to market growth rates.
Primary validation
The last step of the report making revolves around forecasting of the market. Exhaustive interviews of the industry experts and decision makers of the esteemed organizations are taken to validate the findings of our experts.
The assumptions that are made to obtain the statistics and data elements are cross-checked by interviewing managers over F2F discussions as well as over phone calls.
Different members of the market’s value chain such as suppliers, distributors, vendors and end consumers are also approached to deliver an unbiased market picture. All the interviews are conducted across the globe. There is no language barrier due to our experienced and multi-lingual team of professionals. Interviews have the capability to offer critical insights about the market. Current business scenarios and future market expectations escalate the quality of our five-star rated market research reports. Our highly trained team use the primary research with Key Industry Participants (KIPs) for validating the market forecasts:
- Established market players
- Raw data suppliers
- Network participants such as distributors
- End consumers
The aims of doing primary research are:
- Verifying the collected data in terms of accuracy and reliability.
- To understand the ongoing market trends and to foresee the future market growth patterns.
Industry Analysis Matrix
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