Report Summary Catalogue Methodological

Definition and Scope:
The market for AI in Medical Imaging and Diagnostics refers to the application of artificial intelligence technologies, such as machine learning and deep learning, in the field of medical imaging to assist in the diagnosis and treatment of various medical conditions. AI algorithms are used to analyze medical images, such as X-rays, MRIs, and CT scans, to help healthcare professionals detect abnormalities, make accurate diagnoses, and develop personalized treatment plans. By leveraging AI capabilities, medical imaging and diagnostics can be enhanced with improved accuracy, efficiency, and speed, ultimately leading to better patient outcomes and reduced healthcare costs.
The market for AI in Medical Imaging and Diagnostics is experiencing significant growth and is expected to continue expanding rapidly in the coming years. One of the key market trends driving this growth is the increasing adoption of AI technologies in healthcare settings to address the growing demand for more accurate and timely diagnostic solutions. AI-powered medical imaging tools offer healthcare providers the ability to process and interpret large volumes of medical images quickly and accurately, enabling them to make more informed decisions and improve patient care. Additionally, the rise of telemedicine and remote healthcare services is further fueling the demand for AI solutions that can support diagnostic processes from a distance.
Furthermore, the market for AI in Medical Imaging and Diagnostics is being driven by advancements in AI algorithms and computing power, which are enabling more sophisticated image analysis and interpretation capabilities. The development of deep learning algorithms and neural networks has significantly improved the accuracy and reliability of AI-based diagnostic tools, making them increasingly valuable in clinical practice. Moreover, collaborations between technology companies, healthcare providers, and research institutions are facilitating the integration of AI technologies into existing medical imaging systems, paving the way for more widespread adoption and implementation across the healthcare industry.
The global AI in Medical Imaging and Diagnostics market size was estimated at USD 633.15 million in 2024, exhibiting a CAGR of 5.00% during the forecast period.
This report offers a comprehensive analysis of the global AI in Medical Imaging and Diagnostics market, examining all key dimensions. It provides both a macro-level overview and micro-level market details, including market size, trends, competitive landscape, niche segments, growth drivers, and key challenges.
Report Framework and Key Highlights: Market Dynamics: Identification of major market drivers, restraints, opportunities, and challenges.
Trend Analysis: Examination of ongoing and emerging trends impacting the market.
Competitive Landscape: Detailed profiles and market positioning of major players, including market share, operational status, product offerings, and strategic developments.
Strategic Analysis Tools: SWOT Analysis, Porter’s Five Forces Analysis, PEST Analysis, Value Chain Analysis
Market Segmentation: By type, application, region, and end-user industry.
Forecasting and Growth Projections: In-depth revenue forecasts and CAGR analysis through 2033.
This report equips readers with critical insights to navigate competitive dynamics and develop effective strategies. Whether assessing a new market entry or refining existing strategies, the report serves as a valuable tool for:
Industry players
Investors
Researchers
Consultants
Business strategists
And all stakeholders with an interest or investment in the AI in Medical Imaging and Diagnostics market.
Global AI in Medical Imaging and Diagnostics Market: Segmentation Analysis and Strategic Insights
This section of the report provides an in-depth segmentation analysis of the global AI in Medical Imaging and Diagnostics market. The market is segmented based on region (country), manufacturer, product type, and application. Segmentation enables a more precise understanding of market dynamics and facilitates targeted strategies across product development, marketing, and sales.
By breaking the market into meaningful subsets, stakeholders can better tailor their offerings to the specific needs of each segment—enhancing competitiveness and improving return on investment.
Global AI in Medical Imaging and Diagnostics Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.
Key Companies Profiled
Siemens Healthineers AG
GE Healthcare
IBM Watson Health
BenevolentAI
Philips Healthcare
AliveCor Inc.
Zebra Medical Vision
Inc.
Riverain Technologies
Vuno
Inc.
Aidoc
Neural Analytics
Imagen Technologies
Digital Diagnostics
Inc.
Google (Subsidiary of Alphabet
Inc.)
Heartflow
Digital Diagnostics (Formerly Known as Idx)
Market Segmentation by Type
Software Tools/Platform
Services
Market Segmentation by Application
In Vitro Diagnostics
In Vivo Diagnostics
Geographic Segmentation North America: United States, Canada, Mexico
Europe: Germany, France, Italy, U.K., Spain, Sweden, Denmark, Netherlands, Switzerland, Belgium, Russia.
Asia-Pacific: China, Japan, South Korea, India, Australia, Indonesia, Malaysia, Philippines, Singapore, Thailand
South America: Brazil, Argentina, Colombia.
Middle East and Africa (MEA): Saudi Arabia, United Arab Emirates, Egypt, Nigeria, South Africa, Rest of MEA
Report Framework and Chapter Summary Chapter 1: Report Scope and Market Definition
This chapter outlines the statistical boundaries and scope of the report. It defines the segmentation standards used throughout the study, including criteria for dividing the market by region, product type, application, and other relevant dimensions. It establishes the foundational definitions and classifications that guide the rest of the analysis.
Chapter 2: Executive Summary
This chapter presents a concise summary of the market’s current status and future outlook across different segments—by geography, product type, and application. It includes key metrics such as market size, growth trends, and development potential for each segment. The chapter offers a high-level overview of the AI in Medical Imaging and Diagnostics Market, highlighting its evolution over the short, medium, and long term.
Chapter 3: Market Dynamics and Policy Environment
This chapter explores the latest developments in the market, identifying key growth drivers, restraints, challenges, and risks faced by industry participants. It also includes an analysis of the policy and regulatory landscape affecting the market, providing insight into how external factors may shape future performance.
Chapter 4: Competitive Landscape
This chapter provides a detailed assessment of the market's competitive environment. It covers market share, production capacity, output, pricing trends, and strategic developments such as mergers, acquisitions, and expansion plans of leading players. This analysis offers a comprehensive view of the positioning and performance of top competitors.
Chapters 5–10: Regional Market Analysis
These chapters offer in-depth, quantitative evaluations of market size and growth potential across major regions and countries. Each chapter assesses regional consumption patterns, market dynamics, development prospects, and available capacity. The analysis helps readers understand geographical differences and opportunities in global markets.
Chapter 11: Market Segmentation by Product Type
This chapter examines the market based on product type, analyzing the size, growth trends, and potential of each segment. It helps stakeholders identify underexplored or high-potential product categories—often referred to as “blue ocean” opportunities.
Chapter 12: Market Segmentation by Application
This chapter analyzes the market based on application fields, providing insights into the scale and future development of each application segment. It supports readers in identifying high-growth areas across downstream markets.
Chapter 13: Company Profiles
This chapter presents comprehensive profiles of leading companies operating in the market. For each company, it details sales revenue, volume, pricing, gross profit margin, market share, product offerings, and recent strategic developments. This section offers valuable insight into corporate performance and strategy.
Chapter 14: Industry Chain and Value Chain Analysis
This chapter explores the full industry chain, from upstream raw material suppliers to downstream application sectors. It includes a value chain analysis that highlights the interconnections and dependencies across various parts of the ecosystem.
Chapter 15: Key Findings and Conclusions
The final chapter summarizes the main takeaways from the report, presenting the core conclusions, strategic recommendations, and implications for stakeholders. It encapsulates the insights drawn from all previous chapters.

Table of Contents
1 Introduction
1.1 AI in Medical Imaging and Diagnostics Market Definition
1.2 AI in Medical Imaging and Diagnostics Market Segments
1.2.1 Segment by Type
1.2.2 Segment by Application
2 Executive Summary
2.1 Global AI in Medical Imaging and Diagnostics Market Size
2.2 Market Segmentation – by Type
2.3 Market Segmentation – by Application
2.4 Market Segmentation – by Geography
3 Key Market Trends, Opportunity, Drivers and Restraints
3.1 Key Takeway
3.2 Market Opportunities & Trends
3.3 Market Drivers
3.4 Market Restraints
3.5 Market Major Factor Assessment
4 Global AI in Medical Imaging and Diagnostics Market Competitive Landscape
4.1 Global AI in Medical Imaging and Diagnostics Market Share by Company (2020-2025)
4.2 AI in Medical Imaging and Diagnostics Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
4.3 New Entrant and Capacity Expansion Plans
4.4 Mergers & Acquisitions
5 Global AI in Medical Imaging and Diagnostics Market by Region
5.1 Global AI in Medical Imaging and Diagnostics Market Size by Region
5.2 Global AI in Medical Imaging and Diagnostics Market Size Market Share by Region
6 North America Market Overview
6.1 North America AI in Medical Imaging and Diagnostics Market Size by Country
6.1.1 USA Market Overview
6.1.2 Canada Market Overview
6.1.3 Mexico Market Overview
6.2 North America AI in Medical Imaging and Diagnostics Market Size by Type
6.3 North America AI in Medical Imaging and Diagnostics Market Size by Application
6.4 Top Players in North America AI in Medical Imaging and Diagnostics Market
7 Europe Market Overview
7.1 Europe AI in Medical Imaging and Diagnostics Market Size by Country
7.1.1 Germany Market Overview
7.1.2 France Market Overview
7.1.3 U.K. Market Overview
7.1.4 Italy Market Overview
7.1.5 Spain Market Overview
7.1.6 Sweden Market Overview
7.1.7 Denmark Market Overview
7.1.8 Netherlands Market Overview
7.1.9 Switzerland Market Overview
7.1.10 Belgium Market Overview
7.1.11 Russia Market Overview
7.2 Europe AI in Medical Imaging and Diagnostics Market Size by Type
7.3 Europe AI in Medical Imaging and Diagnostics Market Size by Application
7.4 Top Players in Europe AI in Medical Imaging and Diagnostics Market
8 Asia-Pacific Market Overview
8.1 Asia-Pacific AI in Medical Imaging and Diagnostics Market Size by Country
8.1.1 China Market Overview
8.1.2 Japan Market Overview
8.1.3 South Korea Market Overview
8.1.4 India Market Overview
8.1.5 Australia Market Overview
8.1.6 Indonesia Market Overview
8.1.7 Malaysia Market Overview
8.1.8 Philippines Market Overview
8.1.9 Singapore Market Overview
8.1.10 Thailand Market Overview
8.2 Asia-Pacific AI in Medical Imaging and Diagnostics Market Size by Type
8.3 Asia-Pacific AI in Medical Imaging and Diagnostics Market Size by Application
8.4 Top Players in Asia-Pacific AI in Medical Imaging and Diagnostics Market
9 South America Market Overview
9.1 South America AI in Medical Imaging and Diagnostics Market Size by Country
9.1.1 Brazil Market Overview
9.1.2 Argentina Market Overview
9.1.3 Columbia Market Overview
9.2 South America AI in Medical Imaging and Diagnostics Market Size by Type
9.3 South America AI in Medical Imaging and Diagnostics Market Size by Application
9.4 Top Players in South America AI in Medical Imaging and Diagnostics Market
10 Middle East and Africa Market Overview
10.1 Middle East and Africa AI in Medical Imaging and Diagnostics Market Size by Country
10.1.1 Saudi Arabia Market Overview
10.1.2 UAE Market Overview
10.1.3 Egypt Market Overview
10.1.4 Nigeria Market Overview
10.1.5 South Africa Market Overview
10.2 Middle East and Africa AI in Medical Imaging and Diagnostics Market Size by Type
10.3 Middle East and Africa AI in Medical Imaging and Diagnostics Market Size by Application
10.4 Top Players in Middle East and Africa AI in Medical Imaging and Diagnostics Market
11 AI in Medical Imaging and Diagnostics Market Segmentation by Type
11.1 Evaluation Matrix of Segment Market Development Potential (Type)
11.2 Global AI in Medical Imaging and Diagnostics Market Share by Type (2020-2033)
12 AI in Medical Imaging and Diagnostics Market Segmentation by Application
12.1 Evaluation Matrix of Segment Market Development Potential (Application)
12.2 Global AI in Medical Imaging and Diagnostics Market Size (M USD) by Application (2020-2033)
12.3 Global AI in Medical Imaging and Diagnostics Sales Growth Rate by Application (2020-2033)
13 Company Profiles
13.1 Siemens Healthineers AG
13.1.1 Siemens Healthineers AG Company Overview
13.1.2 Siemens Healthineers AG Business Overview
13.1.3 Siemens Healthineers AG AI in Medical Imaging and Diagnostics Major Product Overview
13.1.4 Siemens Healthineers AG AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.1.5 Key News
13.2 GE Healthcare
13.2.1 GE Healthcare Company Overview
13.2.2 GE Healthcare Business Overview
13.2.3 GE Healthcare AI in Medical Imaging and Diagnostics Major Product Overview
13.2.4 GE Healthcare AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.2.5 Key News
13.3 IBM Watson Health
13.3.1 IBM Watson Health Company Overview
13.3.2 IBM Watson Health Business Overview
13.3.3 IBM Watson Health AI in Medical Imaging and Diagnostics Major Product Overview
13.3.4 IBM Watson Health AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.3.5 Key News
13.4 BenevolentAI
13.4.1 BenevolentAI Company Overview
13.4.2 BenevolentAI Business Overview
13.4.3 BenevolentAI AI in Medical Imaging and Diagnostics Major Product Overview
13.4.4 BenevolentAI AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.4.5 Key News
13.5 Philips Healthcare
13.5.1 Philips Healthcare Company Overview
13.5.2 Philips Healthcare Business Overview
13.5.3 Philips Healthcare AI in Medical Imaging and Diagnostics Major Product Overview
13.5.4 Philips Healthcare AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.5.5 Key News
13.6 AliveCor Inc.
13.6.1 AliveCor Inc. Company Overview
13.6.2 AliveCor Inc. Business Overview
13.6.3 AliveCor Inc. AI in Medical Imaging and Diagnostics Major Product Overview
13.6.4 AliveCor Inc. AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.6.5 Key News
13.7 Zebra Medical Vision
13.7.1 Zebra Medical Vision Company Overview
13.7.2 Zebra Medical Vision Business Overview
13.7.3 Zebra Medical Vision AI in Medical Imaging and Diagnostics Major Product Overview
13.7.4 Zebra Medical Vision AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.7.5 Key News
13.8 Inc.
13.8.1 Inc. Company Overview
13.8.2 Inc. Business Overview
13.8.3 Inc. AI in Medical Imaging and Diagnostics Major Product Overview
13.8.4 Inc. AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.8.5 Key News
13.9 Riverain Technologies
13.9.1 Riverain Technologies Company Overview
13.9.2 Riverain Technologies Business Overview
13.9.3 Riverain Technologies AI in Medical Imaging and Diagnostics Major Product Overview
13.9.4 Riverain Technologies AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.9.5 Key News
13.10 Vuno
13.10.1 Vuno Company Overview
13.10.2 Vuno Business Overview
13.10.3 Vuno AI in Medical Imaging and Diagnostics Major Product Overview
13.10.4 Vuno AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.10.5 Key News
13.11 Inc.
13.11.1 Inc. Company Overview
13.11.2 Inc. Business Overview
13.11.3 Inc. AI in Medical Imaging and Diagnostics Major Product Overview
13.11.4 Inc. AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.11.5 Key News
13.12 Aidoc
13.12.1 Aidoc Company Overview
13.12.2 Aidoc Business Overview
13.12.3 Aidoc AI in Medical Imaging and Diagnostics Major Product Overview
13.12.4 Aidoc AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.12.5 Key News
13.13 Neural Analytics
13.13.1 Neural Analytics Company Overview
13.13.2 Neural Analytics Business Overview
13.13.3 Neural Analytics AI in Medical Imaging and Diagnostics Major Product Overview
13.13.4 Neural Analytics AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.13.5 Key News
13.14 Imagen Technologies
13.14.1 Imagen Technologies Company Overview
13.14.2 Imagen Technologies Business Overview
13.14.3 Imagen Technologies AI in Medical Imaging and Diagnostics Major Product Overview
13.14.4 Imagen Technologies AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.14.5 Key News
13.15 Digital Diagnostics
13.15.1 Digital Diagnostics Company Overview
13.15.2 Digital Diagnostics Business Overview
13.15.3 Digital Diagnostics AI in Medical Imaging and Diagnostics Major Product Overview
13.15.4 Digital Diagnostics AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.15.5 Key News
13.16 Inc.
13.16.1 Inc. Company Overview
13.16.2 Inc. Business Overview
13.16.3 Inc. AI in Medical Imaging and Diagnostics Major Product Overview
13.16.4 Inc. AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.16.5 Key News
13.17 Google (Subsidiary of Alphabet
13.17.1 Google (Subsidiary of Alphabet Company Overview
13.17.2 Google (Subsidiary of Alphabet Business Overview
13.17.3 Google (Subsidiary of Alphabet AI in Medical Imaging and Diagnostics Major Product Overview
13.17.4 Google (Subsidiary of Alphabet AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.17.5 Key News
13.18 Inc.)
13.18.1 Inc.) Company Overview
13.18.2 Inc.) Business Overview
13.18.3 Inc.) AI in Medical Imaging and Diagnostics Major Product Overview
13.18.4 Inc.) AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.18.5 Key News
13.19 Heartflow
13.19.1 Heartflow Company Overview
13.19.2 Heartflow Business Overview
13.19.3 Heartflow AI in Medical Imaging and Diagnostics Major Product Overview
13.19.4 Heartflow AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.19.5 Key News
13.20 Digital Diagnostics (Formerly Known as Idx)
13.20.1 Digital Diagnostics (Formerly Known as Idx) Company Overview
13.20.2 Digital Diagnostics (Formerly Known as Idx) Business Overview
13.20.3 Digital Diagnostics (Formerly Known as Idx) AI in Medical Imaging and Diagnostics Major Product Overview
13.20.4 Digital Diagnostics (Formerly Known as Idx) AI in Medical Imaging and Diagnostics Revenue and Gross Margin fromAI in Medical Imaging and Diagnostics (2020-2025)
13.20.5 Key News
13.20.6 Key News
14 Key Market Trends, Opportunity, Drivers and Restraints
14.1 Key Takeway
14.2 Market Opportunities & Trends
14.3 Market Drivers
14.4 Market Restraints
14.5 Market Major Factor Assessment
14.6 Porter's Five Forces Analysis of AI in Medical Imaging and Diagnostics Market
14.7 PEST Analysis of AI in Medical Imaging and Diagnostics Market
15 Analysis of the AI in Medical Imaging and Diagnostics Industry Chain
15.1 Overview of the Industry Chain
15.2 Upstream Segment Analysis
15.3 Midstream Segment Analysis
15.3.1 Manufacturing, Processing or Conversion Process Analysis
15.3.2 Key Technology Analysis
15.4 Downstream Segment Analysis
15.4.1 Downstream Customer List and Contact Details
15.4.2 Customer Concerns or Preference Analysis
16 Conclusion
17 Appendix
17.1 Methodology
17.2 Research Process and Data Source
17.3 Disclaimer
17.4 Note
17.5 Examples of Clients
17.6 Disclaimer

Research Methodology
The research methodology employed in this study follows a structured, four-stage process designed to ensure the accuracy, consistency, and relevance of all data and insights presented. The process begins with Information Procurement, wherein data is collected from a wide range of primary and secondary sources. This is followed by Information Analysis, during which the collected data is systematically mapped, discrepancies across sources are examined, and consistency is established through cross-validation.

Subsequently, the Market Formulation phase involves placing verified data points into an appropriate market context to generate meaningful conclusions. This step integrates analyst interpretation and expert heuristics to refine findings and ensure applicability. Finally, all conclusions undergo a rigorous Validation and Publishing process, where each data point is re-evaluated before inclusion in the final deliverable. The methodology emphasizes bidirectional flow and reversibility between key stages to maintain flexibility and reinforce the integrity of the analysis.

Research Process
The market research process follows a structured and iterative methodology designed to ensure accuracy, depth, and reliability. It begins with scope definition and research design, where the research objectives are clearly outlined based on client requirements, emerging market trends, and initial exploratory insights. This phase provides strategic direction for all subsequent stages of the research.
Data collection is then conducted through both secondary and primary research. Secondary research involves analyzing publicly available and paid sources such as company filings, industry journals, and government databases to build foundational knowledge. This is followed by primary research, which includes direct interviews and surveys with key industry stakeholders—such as manufacturers, distributors, and end users—to gather firsthand insights and address data gaps identified earlier. Techniques included CATI (Computer-Assisted Telephonic Interviewing), CAWI (Computer-Assisted Web Interviewing), CAVI (Computer-Assisted Video Interviewing via platforms like Zoom and WebEx), and CASI (Computer-Assisted Self Interviewing via email or LinkedIn).