Summary

The global AI in medical imaging market is projected to reach USD 4.53 Billion by 2029 from USD 1.65 Billion in 2024, at a CAGR of 22.4% during the forecast period. Factors contributing to this significant growth would be increasing government support of AI technologies, increased dependability of radiologists towards AI solutions to reduce loads, and cross-industry collaborations and partnerships. Conversely, the market is posed to suffer from a lack of professional AI workers and inconsistent and ambiguous regulatory frameworks.

“The services segment is expected to experience the fastest growth in the AI in medical imaging market between 2024 and 2029”

The market has been segmented into software, hardware, and service components. In 2023, the software segment led the market due to its capabilities of optimizing operations, automation of processes, and increased diagnostic precision. However, the services segment is expected to show the highest growth from 2024 to 2029 through rising demand for managed services, integration assistance, and training required for the implementation and optimization of AI solutions in healthcare. These services solve the problems of staff shortage and increased imaging workloads; thus, healthcare providers may enhance operational efficiency and better care for patients.

“The Radiology segment is estimated to account for the largest share of the global AI in medical imaging market in 2023”
The radiology application segment accounts for a large share in the AI in medical imaging market, as there is a strong demand for advanced imaging solutions and the increasing adoption of AI to support radiologists in diagnosing various conditions. The AI technologies are widely applied in radiology to improve diagnostic accuracy, streamline workflow, and reduce the workload of the radiologist, thus yielding faster and more accurate results. The volume of medical imaging procedures is growing, and ongoing advancements in AI technology lead to an expected continuation of its dominance in the market.

Meanwhile, the oncology application segment is also growing pretty fast. The application of AI in oncology is basically an area of early detection, planning of treatment, and the tracking of patient progress that could further analyze medical images, for instance, a CT scan, MRI, and biopsies for symptoms of unusual growths or tumors. This application is being driven rapidly as AI helps to diagnose cancers more accurately and faster, making this aspect of the oncology sector grow in the near future.testing and analysis, is expected to exhibit vigorous growth during the forecast period, driven by growing advancements in AI for precision diagnostics and laboratory automation.

“The Hospitals segment is estimated to account for the largest share of the global AI in medical imaging market in 2023”
In 2023, the hospitals segment is expected to hold the largest share of the global AI in medical imaging market. This is driven by factors such as the growing adoption of minimally invasive surgery (MIS) procedures in hospitals, which enhance the quality of patient care, as well as advancements in imaging technologies that improve workflow efficiency within these healthcare settings.

“North America to dominate the AI in medical imaging market in 2023.”
Regarding regional dominance, North America is anticipated to lead the AI in medical imaging market in 2023. This is attributed to the region’s advanced healthcare infrastructure, widespread adoption of AI technologies, and significant investments in research and development by key companies and institutions. However, the Asia-Pacific region is projected to experience the highest growth rate (CAGR) between 2024 and 2029, driven by the rising prevalence of cancer, increased utilization of AI in diagnostics, and government efforts to modernize healthcare systems.

Breakdown of supply-side primary interviews, by company type, designation, and region:
• By Company Type: Tier 1 (35%), Tier 2 (45%), and Tier 3 (20%)
• By Designation: C-level (35%), Director-level (25%), and Others (40%)
• By Region: North America (40%), Europe (30%), Asia Pacific (20%), Latin America(5%), and Middle East & Africa (5%)

The prominent players in this market are Microsoft (US), NVIDIA Corporation (US), Merative (US), Intel Corporation (US), Google (US), Siemens Healthineers (Germany), GE HealthCare (US), Digital Diagnostics Inc. (US), Advanced Micro Devices, Inc. (US), InformAI (US), HeartFlow, Inc. (US), Enlitic, Inc. (US), icometrix (Belgium), Aidence (Netherlands), Butterfly Network, Inc. (US), Nano-X Imaging LTD. (Israel), Viz.ai, Inc. (US), Quibim (Spain), Qure.ai (India), Therapixel (France), Aidoc (US), Koninklijke Philips N.V. (Netherlands), Lunit, Inc. (South Korea), EchoNous, Inc. (US), Brainomix (UK).

• Research Coverage

The report comprehensively studies the AI in the medical imaging market based on various aspects, including component, application, end user, modality, and region. It analyzes key factors influencing market growth, such as drivers, restraints, opportunities, and challenges. Additionally, the report evaluates the opportunities and challenges faced by stakeholders and provides detailed insights into the competitive landscape for market leaders. It also examines micro-markets, highlighting their growth trends, prospects, and contributions to the overall AI in the medical imaging market. Furthermore, the report forecasts the revenue of market segments across five major regions.
Rationale to Buy the Report
The research report aims to assist both emerging and established companies in understanding the current state of the AI in medical imaging market, enabling them to strategically increase their market share. Companies that acquire the study can utilize the following tactics to enhance their market presence:
The report offers valuable insights on the following aspects:
• Key Drivers: Factors such as the influx of big data, a growing number of cross-industry partnerships, the rising adoption of AI solutions to alleviate radiologists' workload, and increasing government initiatives are highlighted as significant growth drivers in the AI in medical imaging market.
• Restraints: Challenges include the reluctance among medical practitioners to adopt AI-based technologies, the shortage of skilled AI professionals, and ambiguous regulatory guidelines for medical software, all of which are factors hindering market growth.
• Opportunities: The report identifies untapped emerging markets and the increasing focus on developing human-aware AI systems as key opportunities in the market.
• Challenges: Budgetary constraints and the presence of unstructured healthcare data are among the challenges that businesses need to overcome to grow in this sector.
Additionally, the report provides the following market insights:
• Market Penetration: Detailed analysis of the product portfolios offered by leading players in the AI in medical imaging market.
• Product Development/Innovation: Insightful coverage of the innovative products and technologies offered by top players in the AI medical imaging space.
• Market Development: Data on profitable developing areas, helping businesses identify opportunities for market expansion.
• Market Diversification: Details about recent developments and advancements in the AI in the medical imaging market.
• Competitive Assessment: Extensive assessment of the products, growth tactics, revenue projections, and market categories of the top competitors.
This comprehensive research report aims to equip businesses with actionable insights to navigate the evolving landscape of the AI in medical imaging market.

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Table of Contents

1 INTRODUCTION 37
1.1 STUDY OBJECTIVES 37
1.2 MARKET DEFINITION 38
1.3 STUDY SCOPE 38
1.3.1 MARKETS COVERED & REGIONAL SCOPE 38
1.3.2 INCLUSIONS & EXCLUSIONS 39
1.3.3 YEARS CONSIDERED 40
1.4 CURRENCY CONSIDERED 41
1.5 LIMITATIONS 41
1.5.1 SCOPE-RELATED LIMITATIONS 41
1.5.2 METHODOLOGY-RELATED LIMITATIONS 41
1.6 STAKEHOLDERS 42
2 RESEARCH METHODOLOGY 43
2.1 RESEARCH DATA 43
2.1.1 SECONDARY DATA 44
2.1.1.1 Key data from secondary sources 44
2.1.2 PRIMARY DATA 45
2.1.2.1 List of primary sources 45
2.1.2.2 Key data from primary sources 46
2.1.2.3 Key industry insights 47
2.1.2.4 Breakdown of interviews with experts 47
2.2 MARKET SIZE ESTIMATION 48
2.3 MARKET DATA ESTIMATION & TRIANGULATION 53
2.4 RESEARCH ASSUMPTIONS 54
2.5 RISK ASSESSMENT 54
3 EXECUTIVE SUMMARY 55
4 PREMIUM INSIGHTS 59
4.1 AI IN MEDICAL IMAGING MARKET OVERVIEW 59
4.2 NORTH AMERICA: AI IN MEDICAL IMAGING MARKET, BY COMPONENT
AND COUNTRY (2023) 60
4.3 AI IN MEDICAL IMAGING MARKET: GEOGRAPHIC GROWTH OPPORTUNITIES 61
4.4 AI IN MEDICAL IMAGING MARKET: REGIONAL MIX 61
 
5 MARKET OVERVIEW 62
5.1 INTRODUCTION 62
5.2 MARKET DYNAMICS 62
5.2.1 DRIVERS 63
5.2.1.1 Influx of big data with increasing digitization and adoption of information systems 63
5.2.1.2 Growing cross-industry partnerships & collaborations 63
5.2.1.3 Increasing demand for AI-based solutions to reduce work pressure on radiologists 64
5.2.1.4 Rising government initiatives to support AI-based technologies in healthcare 65
5.2.1.5 Availability of extensive funding for AI-based startups 66
5.2.2 RESTRAINTS 66
5.2.2.1 Reluctance among medical practitioners to adopt AI-based technologies 66
5.2.2.2 Inadequate AI workforce and ambiguous regulatory guidelines for medical software 67
5.2.3 OPPORTUNITIES 67
5.2.3.1 Untapped emerging markets 67
5.2.3.2 Increasing focus on developing human-aware AI systems 68
5.2.4 CHALLENGES 68
5.2.4.1 Budgetary constraints 68
5.2.4.2 Unstructured healthcare data due to growing digital footprint and technology trends 69
5.2.4.3 Data privacy concerns amid growing data volume 69
5.2.4.4 Limited interoperability for AI solutions 69
5.3 ECOSYSTEM ANALYSIS 70
5.4 CASE STUDY ANALYSIS 72
5.4.1 CASE STUDY 1: INTEGRATING AI INTO CLINICAL WORKFLOWS AT LAHEY HOSPITAL & MEDICAL CENTER 72
5.4.2 CASE STUDY 2: RESOLVING CHALLENGES OF UNDERSTAFFED WORKFORCE AND BACKLOG WITH VEYE LUNG NODULES 72
5.4.3 CASE STUDY 3: NVIDIA AI ENTERPRISE SOFTWARE AND GPUS HELP IMPROVE PERFORMANCE AND PRECISION OF TUMOR TARGETING 73
5.4.4 CASE STUDY 4: ZHEJIANG UNIVERSITY AND ZHEJIANG DE IMAGE SOLUTIONS USE INTEL AI SOLUTION TO PROCESS ULTRASOUND 73
5.4.5 CASE STUDY 5: WAITEMATA DISTRICT HEALTH BOARD PROJECT UTILIZES PRECISION-DRIVEN HEALTH SOLUTIONS 74
5.5 VALUE CHAIN ANALYSIS 74
5.5.1 UPSTREAM 75
5.5.2 MID-STREAM 75
5.5.3 DOWNSTREAM 75
5.6 TRADE ANALYSIS 75
5.6.1 IMPORT DATA 76
5.6.2 EXPORT DATA 77
5.7 PORTER'S FIVE FORCES ANALYSIS 78
5.7.1 THREAT OF NEW ENTRANTS 79
5.7.2 THREAT OF SUBSTITUTES 79
5.7.3 BARGAINING POWER OF SUPPLIERS 79
5.7.4 BARGAINING POWER OF BUYERS 79
5.7.5 INTENSITY OF COMPETITIVE RIVALRY 79
5.8 KEY STAKEHOLDERS & BUYING CRITERIA 80
5.8.1 INFLUENCE OF STAKEHOLDERS 80
5.8.2 BUYING CRITERIA 81
5.9 REGULATORY ANALYSIS 82
5.9.1 REGULATORY LANDSCAPE 82
5.9.1.1 North America 82
5.9.1.1.1 Health Insurance Portability and Accountability Act of
1996 (HIPAA) 83
5.9.1.1.2 Health Information Technology for Economic and Clinical Health Act of 2009 (HITECH) 84
5.9.1.1.3 Consumer Privacy Protection Act of 2017 84
5.9.1.1.4 National Cybersecurity Protection Advancement
Act of 2015 84
5.9.1.1.5 Future of Life Institute’s Asilomar AI Principles 84
5.9.1.2 Europe 84
5.9.1.2.1 European Medical Devices Regulation (EU) 2017/745 and In-vitro Diagnostic Medical Devices Regulation (EU) 2017/746, in combination with General Data Protection Regulation 2016/679 84
5.9.1.2.2 Artificial Intelligence Act (AI Act) 84
5.9.1.3 Asia Pacific 85
5.9.1.3.1 Cybersecurity Law of the People’s Republic of China 86
5.9.1.4 Rest of the World 86
5.9.1.4.1 Protection of Personal Information Act 86
5.9.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 86
5.10 PATENT ANALYSIS 89
5.10.1 PATENT PUBLICATION TRENDS FOR AI IN MEDICAL IMAGING 89
5.10.2 JURISDICTION AND TOP APPLICANT ANALYSIS 89
5.11 TECHNOLOGY ANALYSIS 92
5.11.1 KEY TECHNOLOGIES 92
5.11.1.1 Machine learning 92
5.11.1.2 Deep learning 93
5.11.2 COMPLEMENTARY TECHNOLOGIES 93
5.11.2.1 Laboratory automation 93
5.11.2.2 EHR 94
 
5.11.3 ADJACENT TECHNOLOGIES 94
5.11.3.1 Natural language processing 94
5.11.3.2 Big data analytics 94
5.12 PRICING ANALYSIS 94
5.12.1 INDICATIVE PRICING ANALYSIS FOR AI IN MEDICAL IMAGING HARDWARE, 2021–2023 95
5.12.2 AVERAGE SELLING PRICE OF AI IN MEDICAL IMAGING HARDWARE, BY KEY PLAYER (2023) 96
5.12.3 AVERAGE SELLING PRICE, BY REGION (2023) 96
5.13 KEY CONFERENCES & EVENTS, 2025–2026 98
5.14 TRENDS & DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 99
5.15 UNMET NEEDS ANALYSIS 99
5.16 END-USER EXPECTATIONS 100
5.17 REIMBURSEMENT SCENARIO 101
5.17.1 REIMBURSEMENT FOR AI SOFTWARE IN RADIOLOGY 103
5.18 INVESTMENT & FUNDING SCENARIO 104
6 AI IN MEDICAL IMAGING MARKET, BY COMPONENT 105
6.1 INTRODUCTION 106
6.2 SOFTWARE 107
6.3 SERVICES 109
6.3.1 GROWING FOCUS ON INTEGRATION OF AI SYSTEMS TO BOOST DEMAND 109
6.4 HARDWARE 111
6.4.1 PROCESSORS 114
6.4.1.1 MPU 117
6.4.1.1.1 Increasing demand for AI-powered medical diagnostic systems for accurate imaging to drive market 117
6.4.1.2 GPU 119
6.4.1.2.1 Ability to enhance efficacy of medical imaging diagnostics to boost demand 119
6.4.1.3 FPGA 121
6.4.1.3.1 Capability to optimize speed of imaging solutions to fuel uptake 121
6.4.1.4 ASIC 123
6.4.1.4.1 Rapid operation features to support market growth 123
6.4.2 MEMORY 125
6.4.2.1 Development of high-bandwidth memory for AI applications to drive market 125
6.4.3 NETWORKS 128
6.4.3.1 Adapters 130
6.4.3.1.1 Increasing demand for seamless data integration to drive market 130
6.4.3.2 Switches 132
6.4.3.2.1 Efficient data routing and integration features to fuel demand 132
6.4.3.3 Interconnects 134
6.4.3.3.1 Rising need for efficient data transmission to fuel market 134
7 AI IN MEDICAL IMAGING MARKET, BY APPLICATION 137
7.1 INTRODUCTION 138
7.1.1 RADIOLOGY 139
7.1.1.1 Oncology 142
7.1.1.1.1 Breast cancer 144
7.1.1.1.1.1 Automation of lesion detection to drive market 144
7.1.1.1.2 Lung cancer 146
7.1.1.1.2.1 Analysis of CT scans for personalized treatment to fuel uptake 146
7.1.1.1.3 Colorectal cancer 148
7.1.1.1.3.1 Real-time imaging analysis for colonoscopy to boost demand 148
7.1.1.1.4 Prostate cancer 150
7.1.1.1.4.1 Ability to optimize tumor localization to support market growth 150
7.1.1.1.5 Other cancers 152
7.1.1.2 Cardiology 155
7.1.1.2.1 Rising complexities associated with CVD to drive market 155
7.1.1.3 Neurology 156
7.1.1.3.1 Increasing prevalence of critical brain disorders to fuel uptake 156
7.1.1.4 Obstetrics/Gynecology 158
7.1.1.4.1 Increasing preference for MIS techniques to drive market 158
7.1.1.5 Ophthalmology 160
7.1.1.5.1 Growing focus on digital ophthalmology to boost demand 160
7.1.1.6 Other applications 162
8 AI IN MEDICAL IMAGING MARKET, BY MODALITY 165
8.1 INTRODUCTION 166
8.1.1 COMPUTED TOMOGRAPHY (CT) 167
8.1.1.1 Rising availability of cardiac CT devices enabled with AI solutions to drive market 167
8.1.2 X-RAY 169
8.1.2.1 Launch of innovative AI solutions by key players to drive market 169
8.1.3 MAGNETIC RESONANCE IMAGING (MRI) 171
8.1.3.1 Rising technological advancements to fuel uptake 171
8.1.4 ULTRASOUND 173
8.1.4.1 Increasing prevalence of ovarian cancer to boost demand 173
8.1.5 MAMMOGRAPHY 175
8.1.5.1 Rising prevalence of breast cancer to drive market 175
8.1.6 OTHER MODALITIES 177
9 AI IN MEDICAL IMAGING MARKET, BY END USER 180
9.1 INTRODUCTION 181
9.2 HOSPITALS 182
9.2.1 HIGH PURCHASING POWER FOR ADVANCED AI DIAGNOSTIC IMAGING SOLUTIONS TO PROPEL MARKET 182
9.3 DIAGNOSTIC IMAGING CENTERS 184
9.3.1 INCREASING ESTABLISHMENT OF PRIVATE IMAGING CENTERS TO DRIVE MARKET 184
9.4 OTHER END USERS 186
10 AI IN MEDICAL IMAGING MARKET, BY REGION 189
10.1 INTRODUCTION 190
10.2 NORTH AMERICA 191
10.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA 199
10.2.2 US 199
10.2.2.1 Increasing number of imaging procedures to drive market 199
10.2.3 CANADA 206
10.2.3.1 Research grants and improved academics in radiology to drive market 206
10.3 EUROPE 213
10.3.1 MACROECONOMIC OUTLOOK FOR EUROPE 214
10.3.2 GERMANY 220
10.3.2.1 Rising government support for promoting adoption of AI in medical imaging to drive market 220
10.3.3 FRANCE 227
10.3.3.1 Availability of funding for companies to enhance AI research in medical imaging 227
10.3.4 UK 234
10.3.4.1 Increasing radiography procedures to drive market 234
10.3.5 ITALY 241
10.3.5.1 Increasing demand for EHRs and EMRs due to rising geriatric population to drive adoption 241
10.3.6 SPAIN 248
10.3.6.1 Growing awareness regarding AI to favor market growth 248
10.3.7 REST OF EUROPE 254
10.4 ASIA PACIFIC 261
10.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC 268
10.4.2 CHINA 269
10.4.2.1 Rising use of AI in clinical decision-making to drive market 269
10.4.3 JAPAN 276
10.4.3.1 Strong healthcare infrastructure to drive uptake of advanced AI solutions 276
10.4.4 INDIA 282
10.4.4.1 Favorable government initiatives for R&D investments to drive market 282
10.4.5 REST OF ASIA PACIFIC 289
10.5 LATIN AMERICA 295
10.5.1 MACROECONOMIC OUTLOOK FOR LATIN AMERICA 303
10.5.2 BRAZIL 303
10.5.2.1 High technological advancements in healthcare market to drive market 303
10.5.3 MEXICO 310
10.5.3.1 Investment inflows and initiatives for AI-related education to drive market 310
10.5.4 REST OF LATIN AMERICA 316
10.6 MIDDLE EAST & AFRICA 323
10.6.1 GCC COUNTRIES 330
10.6.1.1 Rising adoption of AI in diagnostics to elevate healthcare standards 330
10.6.2 REST OF MIDDLE EAST & AFRICA 337
11 COMPETITIVE LANDSCAPE 345
11.1 OVERVIEW 345
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021–2024 345
11.2.1 OVERVIEW OF STRATEGIES ADOPTED BY PLAYERS IN AI IN MEDICAL IMAGING MARKET 346
11.3 REVENUE ANALYSIS, 2019–2023 347
11.4 MARKET SHARE ANALYSIS, 2023 347
11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 350
11.5.1 STARS 350
11.5.2 EMERGING LEADERS 350
11.5.3 PERVASIVE PLAYERS 350
11.5.4 PARTICIPANTS 351
11.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 352
11.5.5.1 Company footprint 352
11.5.5.2 Regional footprint 353
11.5.5.3 Component footprint 354
11.5.5.4 Application footprint 355
11.5.5.5 End-user footprint 356
11.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 357
11.6.1 PROGRESSIVE COMPANIES 357
11.6.2 DYNAMIC COMPANIES 357
11.6.3 RESPONSIVE COMPANIES 357
11.6.4 STARTING BLOCKS 357
11.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023 359
11.6.5.1 Detailed list of key startups/SMEs 359
11.6.5.2 Competitive benchmarking of key startups/SMEs 360
11.7 COMPANY VALUATION AND FINANCIAL METRICS 361
11.8 BRAND/PRODUCT COMPARISON 362
11.9 COMPETITIVE SCENARIO 363
11.9.1 PRODUCT LAUNCHES 363
11.9.2 DEALS 364
11.9.3 OTHER DEVELOPMENTS 365
12 COMPANY PROFILES 366
12.1 KEY PLAYERS 366
12.1.1 MICROSOFT 366
12.1.1.1 Business overview 366
12.1.1.2 Products/Solutions/Services offered 367
12.1.1.3 Recent developments 369
12.1.1.3.1 Product launches 369
12.1.1.3.2 Deals 369
12.1.1.4 MnM view 371
12.1.1.4.1 Key strengths 371
12.1.1.4.2 Strategic choices 371
12.1.1.4.3 Weaknesses & competitive threats 371
12.1.2 NVIDIA CORPORATION 372
12.1.2.1 Business overview 372
12.1.2.2 Products/Solutions/Services offered 373
12.1.2.3 Recent developments 375
12.1.2.3.1 Product launches 375
12.1.2.4 MnM view 377
12.1.2.4.1 Key strengths 377
12.1.2.4.2 Strategic choices 377
12.1.2.4.3 Weaknesses & competitive threats 377
12.1.3 MERATIVE 378
12.1.3.1 Business overview 378
12.1.3.2 Products/Solutions/Services offered 378
12.1.3.3 Recent developments 379
12.1.3.3.1 Product launches 379
12.1.3.3.2 Deals 379
12.1.3.3.3 Other developments 380
12.1.3.4 MnM view 380
12.1.3.4.1 Key strengths 380
12.1.3.4.2 Strategic choices 380
12.1.3.4.3 Weaknesses & competitive threats 381
 
12.1.4 GOOGLE (ALPHABET, INC.) 382
12.1.4.1 Business overview 382
12.1.4.2 Products/Solutions/Services offered 383
12.1.4.3 Recent developments 384
12.1.4.3.1 Product launches 384
12.1.4.3.2 Deals 384
12.1.4.4 MnM view 385
12.1.4.4.1 Key strengths 385
12.1.4.4.2 Strategic choices 385
12.1.4.4.3 Weaknesses & competitive threats 385
12.1.5 INTEL CORPORATION 386
12.1.5.1 Business overview 386
12.1.5.2 Products/Solutions/Services offered 387
12.1.5.3 Recent developments 389
12.1.5.3.1 Product launches 389
12.1.5.3.2 Deals 390
12.1.5.4 MnM view 390
12.1.5.4.1 Key strengths 390
12.1.5.4.2 Strategic choices 391
12.1.5.4.3 Weaknesses & competitive threats 391
12.1.6 SIEMENS HEALTHINEERS AG 392
12.1.6.1 Business overview 392
12.1.6.2 Products/Solutions/Services offered 393
12.1.6.3 Recent developments 394
12.1.6.3.1 Product launches 394
12.1.6.3.2 Deals 395
12.1.7 GE HEALTHCARE 396
12.1.7.1 Business overview 396
12.1.7.2 Products/Solutions/Services offered 397
12.1.7.3 Recent developments 398
12.1.7.3.1 Product launches 398
12.1.7.3.2 Deals 399
12.1.7.3.3 Expansions 401
12.1.7.3.4 Other developments 401
12.1.8 ADVANCED MICRO DEVICES, INC. 402
12.1.8.1 Business overview 402
12.1.8.2 Products/Solutions/Services offered 403
12.1.8.3 Recent developments 404
12.1.8.3.1 Product launches 404
12.1.8.3.2 Deals 404
 
12.1.9 KONINKLIJKE PHILIPS N.V. 405
12.1.9.1 Business overview 405
12.1.9.2 Products/Solutions/Services offered 406
12.1.9.3 Recent developments 408
12.1.9.3.1 Product launches 408
12.1.10 CANON MEDICAL SYSTEMS CORPORATION 409
12.1.10.1 Business overview 409
12.1.10.2 Products/Solutions/Services offered 411
12.1.10.3 Recent developments 411
12.1.10.3.1 Product launches 411
12.1.10.3.2 Other developments 411
12.1.11 FUJIFILM HOLDINGS CORPORATION 412
12.1.11.1 Business overview 412
12.1.11.2 Products/Solutions/Services offered 414
12.1.11.3 Recent developments 414
12.1.11.3.1 Product launches 414
12.2 OTHER PLAYERS 415
12.2.1 HEARTFLOW, INC. 415
12.2.2 ENLITIC, INC. 415
12.2.3 AIDENCE 416
12.2.4 BUTTERFLY NETWORK, INC. 416
12.2.5 NANO-X IMAGING LTD. 417
12.2.6 VIZ.AI, INC. 418
12.2.7 QUIBIM 419
12.2.8 QURE.AI 420
12.2.9 THERAPIXEL 420
12.2.10 AIDOC 421
12.2.11 LUNIT, INC. 422
12.2.12 ECHONOUS, INC. 423
12.2.13 ICOMETRIX 424
12.2.14 BRAINOMIX 424
13 APPENDIX 425
13.1 DISCUSSION GUIDE 425
13.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 428
13.3 CUSTOMIZATION OPTIONS 430
13.4 RELATED REPORTS 430
13.5 AUTHOR DETAILS 431