Product Code: HIT 6886
The global computer vision in healthcare market is projected to grow from USD 4.86 billion in 2025 to USD 14.39 billion by 2030, registering a 24.3% CAGR during the forecast period. Market growth is propelled by the convergence of technological innovation, growing healthcare demands, regulatory support, and the imperative for more efficient and effective healthcare solutions. Concerns regarding data privacy, security, and regulatory compliance pose significant barriers to the deployment of computer vision solutions in healthcare settings, which hinders market expansion throughout the forecast period.
Scope of the Report |
Years Considered for the Study | 2024-2030 |
Base Year | 2024 |
Forecast Period | 2024-2030 |
Units Considered | Value (USD billion) |
Segments | Product & Service, Type, Application, End User |
Regions covered | North America, Europe, Asia Pacific, Latin America, and Middle East & Africa |
Recent technological advancements, notably federated learning, which allows model training across decentralized healthcare data without sharing patient records, are overcoming privacy hurdles and accelerating algorithm development. The FDA's May 2024 draft guidance on AI/ML-enabled medical devices provides a clearer regulatory pathway, encouraging vendors to design for continuous learning and post-market performance monitoring. In parallel, the rise of edge-computing VPUs and 5G-enabled imaging devices is facilitating on-premises inference, reducing latency for time-critical applications such as surgical assistance.
Based on region, North America dominated the computer vision in healthcare market, driven by advanced healthcare infrastructure, a strong presence of technology and data-driven healthcare organizations, and significant government support. Initiatives such as the FDA's January 2025 Draft Guidance on AI/ML-Enabled Device Software Functions and the National Institutes of Health (NIH)'s Artificial Intelligence program have accelerated the adoption of AI-powered imaging platforms by clarifying regulatory pathways and funding large-scale research projects. Adoption is also propelled by high US healthcare spending, widespread EHR infrastructure, and the imperative to reduce diagnostic turnaround times and improve patient outcomes.
Major players such as NVIDIA Corporation (US), Intel Corporation (US), Microsoft Corporation (US), Advanced Micro Devices, Inc. (US), and Google (US) are leveraging strategic partnerships. In April 2023, Microsoft (US) and Epic Systems Corporation (US) expanded their strategic partnership by integrating Azure OpenAI Service into Epic's electronic health record (EHR) platform. Leading institutions such as Mayo Clinic (US) and Cleveland Clinic (US) harness predictive analytics and computer vision for automating radiology workflows, stroke care, and real-time patient monitoring through dedicated AI centers and case-specific implementations. The North American market's leadership is thus consolidated through regulatory advancements, strategic industry collaborations, and deep IT integration in healthcare, positioning the region as the global frontrunner in computer vision in healthcare.
The dominant segment in the computer vision in healthcare market, based on product & service, is expected to be the software segment. This can be attributed to its critical role as the foundation for developing, deploying, and integrating advanced analytics and algorithms into clinical practice. As the demand for innovative healthcare solutions continues to grow, software-based computer vision technologies are poised to play an increasingly pivotal role in transforming patient care and driving improvements in healthcare delivery and outcomes.
The healthcare providers segment is anticipated to exhibit the highest growth rate in the computer vision in healthcare market. This growth is due to healthcare providers increasingly embracing AI and automation technologies to enhance patient care and streamline operational processes. Within this context, computer vision offers a suite of capabilities, including image analysis and pattern recognition, which are crucial for medical imaging interpretation and patient monitoring.
Furthermore, prospective growth opportunities for participants in the computer vision in healthcare market are anticipated in emerging Asian markets, notably China and India. The expansion in the APAC region is primarily propelled by factors such as increasing healthcare expenditure, rising chronic disease burden, advancements in healthcare IT, improving access to healthcare services, growing research and development activities, and government support initiatives. As these trends continue, the adoption of computer vision technologies is expected to accelerate, driving further growth and innovation in the healthcare sector across the Asia Pacific region.
TABLE OF CONTENTS
1 INTRODUCTION
- 1.1 STUDY OBJECTIVES
- 1.2 MARKET DEFINITION
- 1.3 MARKET SCOPE
- 1.3.1 MARKET SEGMENTATION AND REGIONS COVERED
- 1.3.2 INCLUSIONS AND EXCLUSIONS
- 1.3.3 YEARS CONSIDERED
- 1.4 CURRENCY CONSIDERED
- 1.5 STAKEHOLDERS
- 1.6 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
- 2.1 RESEARCH DATA
- 2.1.1 SECONDARY DATA
- 2.1.1.1 Key data from secondary sources
- 2.1.2 PRIMARY DATA
- 2.1.2.1 Key data from primary sources
- 2.1.2.2 Insights from primary experts
- 2.2 MARKET SIZE ESTIMATION
- 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
- 2.4 MARKET SHARE ESTIMATION
- 2.5 RESEARCH ASSUMPTIONS
- 2.6 RESEARCH LIMITATIONS
- 2.6.1 METHODOLOGY-RELATED LIMITATIONS
- 2.6.2 SCOPE-RELATED LIMITATIONS
- 2.7 RISK ASSESSMENT
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
- 4.1 COMPUTER VISION IN HEALTHCARE MARKET OVERVIEW
- 4.2 ASIA PACIFIC COMPUTER VISION IN HEALTHCARE MARKET, BY PRODUCT & SERVICE AND COUNTRY, 2024
- 4.3 COMPUTER VISION IN HEALTHCARE MARKET: GEOGRAPHIC GROWTH OPPORTUNITIES
- 4.4 COMPUTER VISION IN HEALTHCARE MARKET: REGIONAL MIX, 2025-2030
- 4.5 COMPUTER VISION IN HEALTHCARE MARKET: DEVELOPED VS. EMERGING MARKETS
5 MARKET OVERVIEW
- 5.1 INTRODUCTION
- 5.2 MARKET DYNAMICS
- 5.2.1 DRIVERS
- 5.2.1.1 Increasing demand for computer vision systems in healthcare industry
- 5.2.1.2 Favorable government initiatives
- 5.2.1.3 Big data in healthcare
- 5.2.1.4 Use of computer vision in precision medicine
- 5.2.1.5 Advancements in deep learning and neural network technologies
- 5.2.2 RESTRAINTS
- 5.2.2.1 Reluctance of medical practitioners to adopt AI-based technologies
- 5.2.2.2 Lack of awareness and technical knowledge
- 5.2.3 OPPORTUNITIES
- 5.2.3.1 Transition toward cloud-based computer vision systems
- 5.2.3.2 Unexplored applications
- 5.2.4 CHALLENGES
- 5.2.4.1 Rising security concerns related to cloud-based image processing and analytics
- 5.2.4.2 Lack of curated data
- 5.3 INDUSTRY TRENDS
- 5.3.1 EARLY DETECTION OF CANCER
- 5.3.2 INTERACTIVE MEDICAL IMAGING
- 5.3.3 PHYSICIAN TRAINING BY SURGERY SIMULATIONS
- 5.3.4 REAL-TIME SURGICAL ASSISTANCE
- 5.4 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
- 5.5 PRICING ANALYSIS
- 5.5.1 AVERAGE SELLING PRICE, BY KEY PLAYER
- 5.5.2 AVERAGE SELLING PRICE, BY REGION
- 5.6 VALUE CHAIN ANALYSIS
- 5.7 ECOSYSTEM ANALYSIS
- 5.8 INVESTMENT AND FUNDING SCENARIO
- 5.9 TECHNOLOGY ANALYSIS
- 5.9.1 KEY TECHNOLOGIES
- 5.9.1.1 Deep learning and convolutional neural networks
- 5.9.1.2 Artificial intelligence
- 5.9.1.3 Machine learning
- 5.9.2 COMPLEMENTARY TECHNOLOGIES
- 5.9.2.1 Wearable technologies
- 5.9.2.2 Smartphone computer vision technologies
- 5.9.3 ADJACENT TECHNOLOGIES
- 5.9.3.1 Augmented reality
- 5.10 PATENT ANALYSIS
- 5.11 TRADE ANALYSIS
- 5.11.1 IMPORT DATA FOR HS CODE 854231
- 5.11.2 EXPORT DATA FOR HS CODE 854231
- 5.12 KEY CONFERENCES AND EVENTS, 2025-2026
- 5.13 CASE STUDY ANALYSIS
- 5.13.1 CASE 1: PUNKTUM AND MAYO CLINIC TO DEVELOP CUTTING-EDGE DEEP LEARNING-BASED MODEL FOR BETTER COMPUTER VISION
- 5.13.2 CASE 2: DEVELOPMENT OF AI-TAILORED CAMERAS FOR IMPROVED VISION
- 5.13.3 CASE 3: USE OF VIDEO ANALYTICS PLATFORM FOR IMMEDIATE NOTIFICATION TO MEDICAL STAFF
- 5.14 REGULATORY LANDSCAPE
- 5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
- 5.14.2 REGULATORY FRAMEWORK
- 5.14.2.1 North America
- 5.14.2.2 Europe
- 5.14.2.3 Asia Pacific
- 5.14.2.3.1 China
- 5.14.2.3.2 Japan
- 5.14.2.3.3 India
- 5.15 PORTER'S FIVE FORCES ANALYSIS
- 5.15.1 BARGAINING POWER OF SUPPLIERS
- 5.15.2 BARGAINING POWER OF BUYERS
- 5.15.3 THREAT OF NEW ENTRANTS
- 5.15.4 THREAT OF SUBSTITUTES
- 5.15.5 INTENSITY OF COMPETITIVE RIVALRY
- 5.16 KEY STAKEHOLDERS AND BUYING CRITERIA
- 5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS
- 5.16.2 KEY BUYING CRITERIA
- 5.17 UNMET NEEDS AND END-USER EXPECTATIONS
- 5.17.1 UNMET NEEDS
- 5.17.2 END-USER EXPECTATIONS
- 5.18 BUSINESS MODEL ANALYSIS
- 5.18.1 PLATFORM-AS-A-SERVICE MODEL
- 5.18.2 SOFTWARE-AS-A-SERVICE MODEL
- 5.18.3 PAY-PER-USE OR PAY-PER-TRANSACTION MODEL
- 5.18.4 ENTERPRISE LICENSING MODEL
- 5.18.5 HYBRID MODEL
- 5.19 IMPACT OF 2025 US TARIFF
- 5.19.1 INTRODUCTION
- 5.19.2 KEY TARIFF RATES
- 5.19.3 PRICE IMPACT ANALYSIS
- 5.19.4 IMPACT ON COUNTRY/REGION
- 5.19.4.1 US
- 5.19.4.2 Europe
- 5.19.4.3 Asia Pacific
- 5.19.5 IMPACT ON END-USE INDUSTRIES
6 COMPUTER VISION IN HEALTHCARE MARKET, BY PRODUCT & SERVICE
- 6.1 INTRODUCTION
- 6.2 SOFTWARE
- 6.2.1 ON-PREMISE SOLUTIONS
- 6.2.1.1 Higher control and security to drive adoption
- 6.2.2 CLOUD-BASED SOLUTIONS
- 6.2.2.1 Ease of use, affordability, and reliability to drive market
- 6.3 HARDWARE
- 6.3.1 PROCESSORS
- 6.3.1.1 CPUs
- 6.3.1.1.1 Escalating demand for advanced diagnostic imaging and real-time visual data analysis to drive market
- 6.3.1.2 GPUs
- 6.3.1.2.1 Higher graphics applications and display functions to promote growth
- 6.3.1.3 FPGAs
- 6.3.1.3.1 Rapid prototyping, shorter time-to-market, reprogramming ability, and longevity to aid growth
- 6.3.1.4 ASICs
- 6.3.1.4.1 High affordability and improved performance to augment growth
- 6.3.1.5 VPUs
- 6.3.1.5.1 Ability to accelerate computer vision tasks to bolster growth
- 6.3.2 MEMORY DEVICES
- 6.3.2.1 High-bandwidth memory to spur growth
- 6.3.3 NETWORKS
- 6.3.3.1 High speed & bandwidth and energy-efficient interconnect products to fuel growth
- 6.4 SERVICES
- 6.4.1 RECURRING REQUIREMENT FOR TRAINING, SOFTWARE UPGRADES, AND SOFTWARE MAINTENANCE POST-INSTALLATION TO DRIVE MARKET
7 COMPUTER VISION IN HEALTHCARE MARKET, BY TYPE
- 7.1 INTRODUCTION
- 7.2 PC-BASED COMPUTER VISION SYSTEMS
- 7.2.1 HIGH FLEXIBILITY AND SCALABILITY TO SUPPORT GROWTH
- 7.3 SMART CAMERA-BASED COMPUTER VISION SYSTEMS
- 7.3.1 ABILITY TO PERFORM MULTIPLE FUNCTIONS WITHOUT MANUAL INTERFERENCE TO BOOST MARKET
8 COMPUTER VISION IN HEALTHCARE MARKET, BY APPLICATION
- 8.1 INTRODUCTION
- 8.2 MEDICAL IMAGING & DIAGNOSTICS
- 8.2.1 IMPROVED QUALITY, ACCURACY, AND PREDICTABILITY TO EXPEDITE GROWTH
- 8.3 HOSPITAL MANAGEMENT
- 8.3.1 PATIENT ACTIVITY MONITORING/FALL PREVENTION
- 8.3.1.1 Easy integration with wearable devices to foster growth
- 8.3.2 PATIENT/PROVIDER TRACKING
- 8.3.2.1 Real-time monitoring and efficient resource allocation to facilitate growth
- 8.3.3 SCHEDULING OPTIMIZATION
- 8.3.3.1 Growing demand for enhanced operational efficiency and resource utilization to drive market
- 8.3.4 INVENTORY MANAGEMENT
- 8.3.4.1 Need for inventory accuracy and waste reduction to contribute to growth
- 8.4 SURGERIES
- 8.4.1 NEED FOR PRECISION, EFFICIENCY, AND SAFETY DURING SURGERIES TO SUSTAIN GROWTH
- 8.5 OTHER APPLICATIONS
9 COMPUTER VISION IN HEALTHCARE MARKET, BY END USER
- 9.1 INTRODUCTION
- 9.2 HEALTHCARE PROVIDERS
- 9.2.1 INCREASING AWARENESS OF EARLY DIAGNOSIS TO ENCOURAGE GROWTH
- 9.3 DIAGNOSTIC CENTERS
- 9.3.1 GROWING NEED FOR MEDICAL IMAGE INTERPRETATION TOOLS TO PROPEL MARKET
- 9.4 OTHER END USERS
10 COMPUTER VISION IN HEALTHCARE MARKET, BY REGION
- 10.1 INTRODUCTION
- 10.2 NORTH AMERICA
- 10.2.1 NORTH AMERICA: RECESSION IMPACT ANALYSIS
- 10.2.2 US
- 10.2.2.1 Rising volume of medical imaging data to drive market
- 10.2.3 CANADA
- 10.2.3.1 Increasing government funding for adoption of AI to fuel market
- 10.3 EUROPE
- 10.3.1 EUROPE: RECESSION IMPACT ANALYSIS
- 10.3.2 GERMANY
- 10.3.2.1 Growing adoption of computer vision systems in healthcare industry to boost market
- 10.3.3 UK
- 10.3.3.1 Rising investments in AI and computer vision technologies to support growth
- 10.3.4 FRANCE
- 10.3.4.1 Rising initiatives to promote adoption of healthcare IT solutions to propel market
- 10.3.5 ITALY
- 10.3.5.1 Increasing deployment of computer vision-based patient monitoring systems to foster growth
- 10.3.6 REST OF EUROPE
- 10.4 ASIA PACIFIC
- 10.4.1 ASIA PACIFIC: RECESSION IMPACT ANALYSIS
- 10.4.2 JAPAN
- 10.4.2.1 Well-developed healthcare infrastructure and government initiatives to spur growth
- 10.4.3 CHINA
- 10.4.3.1 Favorable national strategies to facilitate growth
- 10.4.4 INDIA
- 10.4.4.1 Highly developed IT infrastructure and AI-friendly initiatives to stimulate growth
- 10.4.5 REST OF ASIA PACIFIC
- 10.5 LATIN AMERICA
- 10.5.1 LATIN AMERICA: RECESSION IMPACT ANALYSIS
- 10.5.2 BRAZIL
- 10.5.2.1 Growing focus on improving healthcare accessibility and quality to fuel market
- 10.5.3 MEXICO
- 10.5.3.1 Increasing awareness about improved patient care to aid growth
- 10.5.4 REST OF LATIN AMERICA
- 10.6 MIDDLE EAST & AFRICA
- 10.6.1 MIDDLE EAST & AFRICA: RECESSION IMPACT ANALYSIS
- 10.6.2 GCC COUNTRIES
- 10.6.2.1 Rising focus on technological advancements in healthcare to propel market
- 10.6.3 REST OF MIDDLE EAST & AFRICA
11 COMPETITIVE LANDSCAPE
- 11.1 INTRODUCTION
- 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
- 11.2.1 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS IN COMPUTER VISION IN HEALTHCARE MARKET
- 11.3 REVENUE ANALYSIS, 2019-2023
- 11.4 MARKET SHARE ANALYSIS, 2024
- 11.5 COMPANY VALUATION AND FINANCIAL METRICS
- 11.6 BRAND/SOFTWARE COMPARISON
- 11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS. 2024
- 11.7.1 STARS
- 11.7.2 EMERGING LEADERS
- 11.7.3 PERVASIVE PLAYERS
- 11.7.4 PARTICIPANTS
- 11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
- 11.7.5.1 Company footprint
- 11.7.5.2 Region footprint
- 11.7.5.3 Product & service footprint
- 11.7.5.4 Application footprint
- 11.7.5.5 End-user footprint
- 11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
- 11.8.1 PROGRESSIVE COMPANIES
- 11.8.2 RESPONSIVE COMPANIES
- 11.8.3 DYNAMIC COMPANIES
- 11.8.4 STARTING BLOCKS
- 11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
- 11.8.5.1 Detailed list of key startups/SMEs
- 11.8.5.2 Competitive benchmarking of startups/SMEs
- 11.9 COMPETITIVE SCENARIO
- 11.9.1 PRODUCT/SOLUTION LAUNCHES AND APPROVALS
- 11.9.2 DEALS
- 11.9.3 OTHER DEVELOPMENTS
12 COMPANY PROFILES
- 12.1 KEY COMPANIES
- 12.1.1 NVIDIA CORPORATION
- 12.1.1.1 Business overview
- 12.1.1.2 Products/Solutions offered
- 12.1.1.3 Recent developments
- 12.1.1.3.1 Product/Solution launches and approvals
- 12.1.1.3.2 Deals
- 12.1.1.4 MnM view
- 12.1.1.4.1 Key strengths
- 12.1.1.4.2 Strategic choices
- 12.1.1.4.3 Weaknesses and competitive threats
- 12.1.2 INTEL CORPORATION
- 12.1.2.1 Business overview
- 12.1.2.2 Products/Solutions offered
- 12.1.2.3 Recent developments
- 12.1.2.3.1 Product/Solution launches and approvals
- 12.1.2.3.2 Deals
- 12.1.2.4 MnM view
- 12.1.2.4.1 Key strengths
- 12.1.2.4.2 Strategic choices
- 12.1.2.4.3 Weaknesses and competitive threats
- 12.1.3 MICROSOFT
- 12.1.3.1 Business overview
- 12.1.3.2 Products/Solutions offered
- 12.1.3.3 Recent developments
- 12.1.3.4 MnM view
- 12.1.3.4.1 Key strengths
- 12.1.3.4.2 Strategic choices
- 12.1.3.4.3 Weaknesses and competitive threats
- 12.1.4 ADVANCED MICRO DEVICES, INC.
- 12.1.4.1 Business overview
- 12.1.4.2 Products/Solutions offered
- 12.1.4.3 Recent developments
- 12.1.4.3.1 Product/Solution launches and approvals
- 12.1.4.3.2 Deals
- 12.1.5 GOOGLE
- 12.1.5.1 Business overview
- 12.1.5.2 Products/Solutions offered
- 12.1.6 BASLER AG
- 12.1.6.1 Business overview
- 12.1.6.2 Products/Solutions offered
- 12.1.6.3 Recent developments
- 12.1.6.3.1 Product/Solution launches and approvals
- 12.1.7 AICURE
- 12.1.7.1 Business overview
- 12.1.7.2 Products/Solutions offered
- 12.1.7.3 Recent developments
- 12.1.7.3.1 Deals
- 12.1.7.3.2 Other developments
- 12.1.8 ICAD, INC.
- 12.1.8.1 Business overview
- 12.1.8.2 Products/Solutions offered
- 12.1.8.3 Recent developments
- 12.1.8.3.1 Product/Solution launches and approvals
- 12.1.8.3.2 Deals
- 12.1.8.3.3 Other developments
- 12.1.9 THERMO FISHER SCIENTIFIC INC.
- 12.1.9.1 Business overview
- 12.1.9.2 Products/Solutions offered
- 12.1.10 SENSETIME
- 12.1.10.1 Business overview
- 12.1.10.2 Products/Solutions offered
- 12.1.10.3 Recent developments
- 12.1.10.3.1 Product/Solution launches and approvals
- 12.1.11 KEYENCE CORPORATION
- 12.1.11.1 Business overview
- 12.1.11.2 Products/Solutions offered
- 12.1.12 ASSERT AI
- 12.1.12.1 Business overview
- 12.1.12.2 Products/Solutions offered
- 12.1.13 ARTISIGHT
- 12.1.13.1 Business overview
- 12.1.13.2 Products/Solutions offered
- 12.1.13.3 Recent developments
- 12.1.13.3.1 Deals
- 12.1.13.3.2 Other developments
- 12.1.14 LOOKDEEP
- 12.1.14.1 Business overview
- 12.1.14.2 Products/Solutions offered
- 12.1.15 CARE.AI
- 12.1.15.1 Business overview
- 12.1.15.2 Products/Solutions offered
- 12.1.15.3 Recent developments
- 12.1.15.3.1 Deals
- 12.1.15.3.2 Other developments
- 12.1.16 CAREVIEW COMMUNICATIONS
- 12.1.16.1 Business overview
- 12.1.16.2 Products/Solutions offered
- 12.1.16.3 Recent developments
- 12.1.16.3.1 Product/Solution launches and approvals
- 12.1.16.3.2 Deals
- 12.1.17 VIRTUSENSE TECHNOLOGIES, INC.
- 12.1.17.1 Business overview
- 12.1.17.2 Products/Solutions offered
- 12.1.17.3 Recent developments
- 12.1.18 TETON
- 12.1.18.1 Business overview
- 12.1.18.2 Products/Solutions offered
- 12.1.18.3 Recent developments
- 12.1.18.3.1 Product/Solution launches and approvals
- 12.1.18.3.2 Other developments
- 12.2 OTHER PLAYERS
- 12.2.1 VISO.AI
- 12.2.2 NANO-X IMAGING LTD.
- 12.2.3 COMOFI MEDTECH PVT. LTD.
- 12.2.4 AIVIDTECHVISION
- 12.2.5 ROBOFLOW, INC.
- 12.2.6 OPTOTUNE
- 12.2.7 CUREMETRIX, INC.
13 APPENDIX
- 13.1 DISCUSSION GUIDE
- 13.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
- 13.3 CUSTOMIZATION OPTIONS
- 13.4 RELATED REPORTS
- 13.5 AUTHOR DETAILS