Global Artificial Intelligence In Medical Imaging Market
Market Size in USD Billion
CAGR :
% 
USD
753.90 Billion
USD
8,466.35 Billion
2022
2030
 Forecast Period |
2023 –2030 |
 Market Size (Base Year) |
USD 753.90 Billion |
 Market Size (Forecast Year) |
USD 8,466.35 Billion |
 CAGR |
% |
| Major Markets Players |
|
Global Artificial Intelligence in Medical Imaging Market, By Technology (Deep Learning, Computer Vision, NLP, Others), Offering (Hardware, Software, Services), Deployment Type (On-Premise, Cloud), Application (X-Ray, CT, MRI, Ultrasound, Molecular Imaging), Clinical Applications (Breast, Lung, Neurology, Cardiovascular, Liver, Prostate, Colon, Musculoskeletal, Others), End-User (Hospitals, Clinics, Research Laboratories, Others) – Industry Trends and Forecast to 2030.
Artificial Intelligence in Medical Imaging Market Analysis and Size
Different illnesses are becoming more common, which has surged the number of diagnostic procedures performed, increasing the market demand. Increasing the ability and improving processes and treatment of the patients is essential to increasing the market growth. Scientists have used AI to access radiographic properties and automatically identify difficult patterns in imaging data. These factors are pushing the market growth.
Data Bridge Market Research analyses that the artificial intelligence in the medical imaging market, which was USD 753.9 million in 2022, would rise to USD 8,466.35 million by 2030 and is expected to undergo a CAGR of 35.3% during the forecast period 2023 to 2030. In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include depth expert analysis, patient epidemiology, pipeline analysis, pricing analysis, and regulatory framework.
Artificial Intelligence in Medical Imaging Market Scope and Segmentation
|
Report Metric |
Details |
|
Forecast Period |
2023 to 2030 |
|
Base Year |
2022 |
|
Historic Years |
2021 (Customizable to 2015 - 2020) |
|
Quantitative Units |
Revenue in USD Billion, Volumes in Units, Pricing in USD |
|
Segments Covered |
Technology (Deep Learning, Computer Vision, NLP, Others), Offering (Hardware, Software, Services), Deployment Type (On-Premise, Cloud), Application (X-Ray, CT, MRI, Ultrasound, Molecular Imaging), Clinical Applications (Breast, Lung, Neurology, Cardiovascular, Liver, Prostate, Colon, Musculoskeletal, Others), End-User (Hospitals, Clinics, Research Laboratories, Others) |
|
Countries Covered |
U.S., Canada, and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America |
|
Market Players Covered |
BenevolentAI (U.K.), OrCam (Israel)., BioXcel Therapeutics Inc (U.S.), Aitia (U.S.)., Qventus (U.S.)., K Health (U.S.), Prognos Health (U.S.)., Viz.ai, Inc (U.S.), mPulse Mobile (U.S.), Suki AI, Inc (U.S.)., ZealthLife technologies Pte. Ltd (Singapore)., Owkin Inc. (U.S.), Siemens Healthineers AG (Germany), EchoNous, Inc (U.S.), Enlitic, Inc (U.S.) |
|
Market Opportunities |
|
Market Definition
Medical imaging is a diagnostic procedure that includes the creation of visual aids for the human body and monitoring the performance and functioning of the organs. With the addition of artificial intelligence (AI) in healthcare and medical imaging, surgeons can get help in carrying out the image capturing process and diagnose these images for the conclusion and personalized treatment according to every individual and patient.
Global Artificial Intelligence in Medical Imaging Market Dynamics
Drivers
- Growing Adoption of AI in Radiology
The growing adoption of AI to perform image quantification and identification process is also expected to increase market growth. For instance, Google's AI platform, Google's Deepmind collaborated with Moorfields Eye Hospital to observe all eye scans performed using an optical CT scanner to ensure early detection of age-related macular degeneration. Additionally, introducing 3D MRI and CT scans enables radiologists to analyze scans, reduce analysis time and increase efficacy quickly. Thus, this factor boosts market growth.
- Growing Demand for CT
CT systems are one of the top diagnostic tools extensively used in several research institutes and hospitals that surge the market growth. Growing demand for Point of Care (POC) CT devices and the increasing development of a high-precision CT scanner by adding AI & ML and advanced visualization systems are increasing the market growth. Thus, this factor boosts market growth.
Opportunities
- Increasing Investments with AI Firms
Developing countries primarily focus most of their efforts on adopting their AI investments. This will assist the firms in making huge financial growth using AI with medical imaging. For instance, China is considered to be the leader in artificial intelligence by 2030. The strategy needs major government funding and investments for firms to adopt AI technologies more rapidly. Thus, this factor boosts the market growth.
- Increasing Product Approvals
There have been increasing product approvals that are beneficial for market growth. For instance, the FDA has given Philips SmartSpeed AI-based software its 510(k) approval in 2022, allowing them to provide ground-breaking high-speed, high-resolution MR imaging. Its huge compatibility allows quicker and higher-quality scans for nearly all patients with several illnesses, such as those with implants (97% of clinical protocols). Thus, this factor boosts market growth.
Restraints/Challenges
- Increasing Cost of Artificial Intelligence In Medical Imaging
The huge cost of various artificial intelligence techniques in medical imaging samples and other equipment for diagnosing numerous diseases restricts the market growth. Currently, R&D of artificial intelligence in medical imaging is more costly and cannot be afforded by most hospitals and research institutes in underdeveloped and developing countries. Therefore, these factors hamper the market growth.
This artificial intelligence in medical imaging market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the artificial intelligence in medical imaging market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Recent Development
- In 2021, VUNO Inc., a South Korean AI business, announced a strategic partnership with Samsung Electronics to adopt the AI-powered mobile digital X-ray system VUNO Med-Chest X-ray within the GM85. This partnership is expected to bring VUNO closer to developing AI applications.
Global Artificial Intelligence in Medical Imaging Market Scope
The artificial intelligence in medical imaging market is segmented on the basis of technology, offering, deployment type, application, clinical applications and end-user. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Technology
- Deep Learning
- Computer Vision
- NLP
- Others
Offering
- Hardware
- Software
- Services
Deployment Type
- On-Premise
- Cloud
Application
- X-Ray
- CT
- MRI
- Ultrasound
- Molecular Imaging
Clinical Applications
- Breast
- Lung
- Neurology
- Cardiovascular
- Liver, Prostate
- Colon
- Musculoskeletal
- Others
End User
- Hospitals
- Clinics
- Research Laboratories
- Others
Artificial Intelligence in Medical Imaging Market Regional Analysis/Insights
The artificial intelligence in medical imaging market is analyzed and market size insights and trends are provided by technology, offering, deployment type, application, clinical applications and end-user as referenced above.
The countries covered in the artificial intelligence in medical imaging market report are U.S., Canada, and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America dominates the artificial intelligence in the medical imaging market due to the increasingly technologically advanced healthcare infrastructure and disposable income in this region. In addition, many market players and government regulations in the region are the main factors for market growth.
Asia-Pacific is expected to grow significantly due to the rapidly emerging healthcare infrastructure in Indonesia, China, and India. In addition, the increasing number of startups using artificial intelligence (AI), mostly in China and India, and AI's huge potential is helping enhance market growth.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Healthcare Infrastructure growth Installed base and New Technology Penetration
The artificial intelligence in medical imaging market also provides you with detailed market analysis for every country growth in healthcare expenditure for capital equipment, installed base of different kind of products for artificial intelligence in medical imaging market, impact of technology using life line curves and changes in healthcare regulatory scenarios and their impact on the artificial intelligence in medical imaging market. The data is available for historic period 2011-2021.
Competitive Landscape and Artificial Intelligence in Medical Imaging Market Share Analysis
The artificial intelligence in medical imaging market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to artificial intelligence in medical imaging market.
Some of the major players operating in the artificial intelligence in medical imaging market are:
- BenevolentAI (U.K.)
- OrCam (Israel).
- BioXcel Therapeutics Inc (U.S.)
- Aitia (U.S.)
- Qventus (U.S.).
- K Health (U.S.)
- Prognos Health (U.S.).
- Viz.ai, Inc (U.S.)
- mPulse Mobile (U.S.)
- Suki AI, Inc (U.S.)
- ZealthLife technologies Pte. Ltd (Singapore)
- Owkin Inc. (U.S.)
- Siemens Healthineers AG (Germany)
- EchoNous, Inc (U.S.)
- Enlitic, Inc (U.S.)
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Table of Content
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET
1.4 CURRENCY AND PRICING
1.5 LIMITATION
1.6 MARKETS COVERED
2 MARKET SEGMENTATION
2.1 KEY TAKEAWAYS
2.2 ARRIVING AT THE GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET SIZE
2.2.1 VENDOR POSITIONING GRID
2.2.2 TECHNOLOGY LIFE LINE CURVE
2.2.3 TRIPOD DATA VALIDATION MODEL
2.2.4 MARKET GUIDE
2.2.5 MULTIVARIATE MODELLING
2.2.6 TOP TO BOTTOM ANALYSIS
2.2.7 CHALLENGE MATRIX
2.2.8 APPLICATION COVERAGE GRID
2.2.9 STANDARDS OF MEASUREMENT
2.2.10 VENDOR SHARE ANALYSIS
2.2.11 SALES VOLUME DATA
2.2.12 DATA POINTS FROM KEY PRIMARY INTERVIEWS
2.2.13 DATA POINTS FROM KEY SECONDARY DATABASES
2.3 GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET: RESEARCH SNAPSHOT
2.4 ASSUMPTIONS
3 MARKET OVERVIEW
3.1 DRIVERS
3.2 RESTRAINTS
3.3 OPPORTUNITIES
3.4 CHALLENGES
4 EXECUTIVE SUMMARY
5 PREMIUM INSIGHTS
5.1 PESTEL ANALYSIS
5.2 PORTER'S FIVE FORCES MODEL
6 INDUSTRY INSIGHTS
6.1 MICRO AND MACRO ECONOMIC FACTORS
6.2 PENETRATION AND GROWTH PROSPECT MAPPING
6.3 KEY PRICING STRATEGIES
6.4 INTERVIEWS WITH SPECIALIST
6.5 ANALYSIS AND RECOMMENDATIONS
7 INTELLECTUAL PROPERTY (IP) PORTFOLIO
7.1 PATENT QUALITY AND STRENGTH
7.2 PATENT FAMILIES
7.3 LICENSING AND COLLABORATIONS
7.4 COMPETITIVE LANDSCAPE
7.5 IP STRATEGY AND MANAGEMENT
7.6 OTHER
8 COST ANALYSIS BREAKDOWN
9 TECHNOLOGY ROADMAP
10 INNOVATION TRACKER AND STRATEGIC ANALYSIS
10.1 MAJOR DEALS AND STRATEGIC ALLIANCES ANALYSIS
10.1.1 JOINT VENTURES
10.1.2 MERGERS AND ACQUISITIONS
10.1.3 LICENSING AND PARTNERSHIP
10.1.4 TECHNOLOGY COLLABORATIONS
10.1.5 STRATEGIC DIVESTMENTS
10.2 NUMBER OF PRODUCTS IN DEVELOPMENT
10.3 STAGE OF DEVELOPMENT
10.4 TIMELINES AND MILESTONES
10.5 INNOVATION STRATEGIES AND METHODOLOGIES
10.6 RISK ASSESSMENT AND MITIGATION
10.7 FUTURE OUTLOOK
11 REGULATORY COMPLIANCE
11.1 REGULATORY AUTHORITIES
11.2 REGULATORY CLASSIFICATIONS
11.2.1 CLASS I
11.2.2 CLASS II
11.2.3 CLASS III
11.3 REGULATORY SUBMISSIONS
11.4 INTERNATIONAL HARMONIZATION
11.5 COMPLIANCE AND QUALITY MANAGEMENT SYSTEMS
11.6 REGULATORY CHALLENGES AND STRATEGIES
12 REIMBURSEMENT FRAMEWORK
13 OPPUTUNITY MAP ANALYSIS
14 VALUE CHAIN ANALYSIS
15 HEALTHCARE ECONOMY
15.1 HEALTHCARE EXPENDITURE
15.2 CAPITAL EXPENDITURE
15.3 CAPEX TRENDS
15.4 CAPEX ALLOCATION
15.5 FUNDING SOURCES
15.6 INDUSTRY BENCHMARKS
15.7 GDP RATION IN OVERALL GDP
15.8 HEALTHCARE SYSTEM STRUCTURE
15.9 GOVERNMENT POLICIES
15.1 ECONOMIC DEVELOPMENT
16 GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET, BY OFFERING
16.1 OVERVIEW
16.2 HARDWARE
16.2.1 PROCESSORS
16.2.1.1. MICRO-PROCESSING UNIT (MPU)
16.2.1.2. GRAPHICS PROCESSING UNIT (GPU)
16.2.1.3. FIELD-PROGRAMMABLE GATE ARRAY (FGPA)
16.2.1.4. OTHERS
16.2.2 MEMORY
16.2.3 NETWORK
16.3 SOFTWARE
16.3.1 BY TYPE
16.3.1.1. INTEGRATED
16.3.1.2. STANDLAONE
16.3.2 BY OPERATING SYSTEN
16.3.2.1. IOS
16.3.2.2. WINDOWS
16.3.2.3. LINUX
16.3.2.4. OTHERS
16.3.3 BY MODALITY
16.3.3.1. PLATFORMS BASED
16.3.3.1.1. APPLICATION PROGRAM INTERFACE (API)
16.3.3.1.2. MACHINE LEARNING FRAMEWORK
16.3.3.2. SOLUTIONS
16.4 SERVICES
17 SERVICES GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET, BY TECHNOLOGY
17.1 OVERVIEW
17.2 MACHINE LEARNING
17.2.1 DEEP LEARNING
17.2.1.1. CONVOLUTIONAL NEURAL NETWORK (CNN)
17.2.1.2. RECURRENT NEURAL NETWORK (RNN)
17.2.1.3. GENERATIVE ADVERSARIAL NETWORKS (GAN)
17.2.2 SUPERVISED LEARNING
17.2.3 REINFORCEMENT LEARNING
17.2.4 UNSUPERVISED LEARNING
17.3 NATURAL LANGUAGE PROCESSING (NLP)
17.3.1 OCR
17.3.2 PATTERN & IMAGE RECOGNITION
17.3.3 AUTO CODING
17.3.4 CLASSIFICATION & CATEGORIZATION
17.3.5 TEXT ANALYTICS
17.3.6 SPEECH ANALYTICS
17.4 CONTEXT-AWARENESS COMPUTING
17.5 COMPUTER VISION
17.6 OTHERS
18 GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET, BY ENTERPRISE SIZE
18.1 OVERVIEW
18.2 SMALL & MEDIUM SIZE ENTERPRISE
18.2.1 BY DEPLOYMENT MODE
18.2.1.1. ON-PREMISE
18.2.1.2. WEB/CLOUD BASED
18.3 LARGE SIZE ENTERPRISE
18.3.1 BY DEPLOYMENT MODE
18.3.1.1. ON-PREMISE
18.3.1.2. WEB/CLOUD BASED
19 GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET , BY DEPLOYMENT TYPE
19.1 OVERVIEW
19.2 ON-PREMISE
19.3 WEB/CLOUD BASED
20 GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET , BY APPLICATION
20.1 OVERVIEW
20.2 DIAGNOSTIC SYSTEMS
20.2.1 MAGNETIC RESONANCE IMAGING (MRI)
20.2.1.1. OPEN MRI SYSTEMS
20.2.1.2. CLOSED MRI SYSTEMS
20.2.2 X-RAY
20.2.2.1. STATIONARY
20.2.2.2. PORTABLE
20.2.3 COMPUTED TOMOGRAPHY (CT)
20.2.3.1. HIGH-SLICE
20.2.3.2. MID-SLICE
20.2.3.3. LOW-SLICE
20.2.4 ULTRASOUND
20.2.4.1. COLOR ULTRASOUND DEVICES
20.2.4.2. B/W ULTRASOUND DEVICES
20.2.5 MOLECULAR IMAGING
20.2.5.1. SPECT SYSTEMS/SCANNERS
20.2.5.1.1. HYBRID SPECT
20.2.5.1.2. STANDALONE SPECT
20.2.5.2. PET SYSTEMS/SCANNERS
20.2.6 OTHERS
20.3 INTERVENTIONAL SYSTEMS
21 GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET , BY CLINICAL APPLICATION
21.1 OVERVIEW
21.2 CARDIOLOGY
21.3 ONCOLOGY
21.4 BREAST (MAMMOGRAPHY)
21.5 GYNECOLOGY
21.6 UROLOGY
21.7 NEUROLOGY
21.8 MUSCULOSKELETAL
21.9 LUNGS (RESPIRATORY SYSTEM)
21.1 ORTHOPEDICS
21.11 DENTAL
21.12 PELVIC AND ABDOMINAL
21.13 OTHERS
22 GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET, BY END USER
22.1 OVERVIEW
22.2 HOSPITALS
22.3 SPECIALTY CLINICS
22.4 DIAGNOSTIC IMAGING CENTERS
22.5 AMBULATORY SURGICAL CENTERS
22.6 ACADEMIC & RESEARCH INSTITUTES
22.7 OTHERS
23 GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET, COMPANY LANDSCAPE
23.1 COMPANY SHARE ANALYSIS: GLOBAL
23.2 COMPANY SHARE ANALYSIS: NORTH AMERICA
23.3 COMPANY SHARE ANALYSIS: EUROPE
23.4 COMPANY SHARE ANALYSIS: MIDDLE EAST AND AFRICA
23.5 MERGERS & ACQUISITIONS
23.6 NEW PRODUCT DEVELOPMENT & APPROVALS
23.7 EXPANSIONS
23.8 REGULATORY CHANGES
23.9 PARTNERSHIP AND OTHER STRATEGIC DEVELOPMENTS
24 GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET, SWOT AND DBMR ANALYSIS
25 GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET, BY REGION
GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET, (ALL SEGMENTATION PROVIDED ABOVE IS REPRESENTED IN THIS CHAPTER BY COUNTRY)
25.1 NORTH AMERICA
25.1.1 U.S.
25.1.2 CANADA
25.1.3 MEXICO
25.2 EUROPE
25.2.1 GERMANY
25.2.2 FRANCE
25.2.3 U.K.
25.2.4 HUNGARY
25.2.5 LITHUANIA
25.2.6 AUSTRIA
25.2.7 IRELAND
25.2.8 NORWAY
25.2.9 POLAND
25.2.10 ITALY
25.2.11 SPAIN
25.2.12 RUSSIA
25.2.13 TURKEY
25.2.14 NETHERLANDS
25.2.15 SWITZERLAND
25.2.16 REST OF EUROPE
25.3 ASIA-PACIFIC
25.3.1 JAPAN
25.3.2 CHINA
25.3.3 SOUTH KOREA
25.3.4 INDIA
25.3.5 AUSTRALIA
25.3.6 SINGAPORE
25.3.7 THAILAND
25.3.8 MALAYSIA
25.3.9 INDONESIA
25.3.10 PHILIPPINES
25.3.11 VIETNAM
25.3.12 REST OF ASIA-PACIFIC
25.4 SOUTH AMERICA
25.4.1 BRAZIL
25.4.2 ARGENTINA
25.4.3 PERU
25.4.4 REST OF SOUTH AMERICA
25.5 MIDDLE EAST AND AFRICA
25.5.1 SOUTH AFRICA
25.5.2 GLOBAL
25.5.3 UAE
25.5.4 EGYPT
25.5.5 KUWAIT
25.5.6 ISRAEL
25.5.7 REST OF MIDDLE EAST AND AFRICA
25.6 KEY PRIMARY INSIGHTS: BY MAJOR COUNTRIES
26 GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING MARKET, COMPANY PROFILE
26.1 BENEVOLENTAI
26.1.1 COMPANY OVERVIEW
26.1.2 REVENUE ANALYSIS
26.1.3 GEOGRAPHIC PRESENCE
26.1.4 PRODUCT PORTFOLIO
26.1.5 RECENT DEVELOPMENTS
26.2 CUREMETRIX, INC.
26.2.1 COMPANY OVERVIEW
26.2.2 REVENUE ANALYSIS
26.2.3 GEOGRAPHIC PRESENCE
26.2.4 PRODUCT PORTFOLIO
26.2.5 RECENT DEVELOPMENTS
26.3 HEARTVISTA INC
26.3.1 COMPANY OVERVIEW
26.3.2 REVENUE ANALYSIS
26.3.3 GEOGRAPHIC PRESENCE
26.3.4 PRODUCT PORTFOLIO
26.3.5 RECENT DEVELOPMENTS
26.4 ENVISIONIT DEEP AI (PTY) LTD
26.4.1 COMPANY OVERVIEW
26.4.2 REVENUE ANALYSIS
26.4.3 GEOGRAPHIC PRESENCE
26.4.4 PRODUCT PORTFOLIO
26.4.5 RECENT DEVELOPMENTS
26.5 MERATIVE
26.5.1 COMPANY OVERVIEW
26.5.2 REVENUE ANALYSIS
26.5.3 GEOGRAPHIC PRESENCE
26.5.4 PRODUCT PORTFOLIO
26.5.5 RECENT DEVELOPMENTS
26.6 LUNIT INC.
26.6.1 COMPANY OVERVIEW
26.6.2 REVENUE ANALYSIS
26.6.3 GEOGRAPHIC PRESENCE
26.6.4 PRODUCT PORTFOLIO
26.6.5 RECENT DEVELOPMENTS
26.7 SIEMENS HEALTHCARE PRIVATE LIMITED
26.7.1 COMPANY OVERVIEW
26.7.2 REVENUE ANALYSIS
26.7.3 GEOGRAPHIC PRESENCE
26.7.4 PRODUCT PORTFOLIO
26.7.5 RECENT DEVELOPMENTS
26.8 KONINKLIJKE PHILIPS N.V.
26.8.1 COMPANY OVERVIEW
26.8.2 REVENUE ANALYSIS
26.8.3 GEOGRAPHIC PRESENCE
26.8.4 PRODUCT PORTFOLIO
26.8.5 RECENT DEVELOPMENTS
26.9 GE HEALTHCARE
26.9.1 COMPANY OVERVIEW
26.9.2 REVENUE ANALYSIS
26.9.3 GEOGRAPHIC PRESENCE
26.9.4 PRODUCT PORTFOLIO
26.9.5 RECENT DEVELOPMENTS
26.1 ALIVECOR, INC.
26.10.1 COMPANY OVERVIEW
26.10.2 REVENUE ANALYSIS
26.10.3 GEOGRAPHIC PRESENCE
26.10.4 PRODUCT PORTFOLIO
26.10.5 RECENT DEVELOPMENTS
26.11 INTEL CORPORATION
26.11.1 COMPANY OVERVIEW
26.11.2 REVENUE ANALYSIS
26.11.3 GEOGRAPHIC PRESENCE
26.11.4 PRODUCT PORTFOLIO
26.11.5 RECENT DEVELOPMENTS
26.12 ECHONOUS INC.
26.12.1 COMPANY OVERVIEW
26.12.2 REVENUE ANALYSIS
26.12.3 GEOGRAPHIC PRESENCE
26.12.4 PRODUCT PORTFOLIO
26.12.5 RECENT DEVELOPMENTS
26.13 ENLITIC, INC.
26.13.1 COMPANY OVERVIEW
26.13.2 REVENUE ANALYSIS
26.13.3 GEOGRAPHIC PRESENCE
26.13.4 PRODUCT PORTFOLIO
26.13.5 RECENT DEVELOPMENTS
26.14 OWKIN, INC
26.14.1 COMPANY OVERVIEW
26.14.2 REVENUE ANALYSIS
26.14.3 GEOGRAPHIC PRESENCE
26.14.4 PRODUCT PORTFOLIO
26.14.5 RECENT DEVELOPMENTS
26.15 GOOGLE HEALTH
26.15.1 COMPANY OVERVIEW
26.15.2 REVENUE ANALYSIS
26.15.3 GEOGRAPHIC PRESENCE
26.15.4 PRODUCT PORTFOLIO
26.15.5 RECENT DEVELOPMENTS
26.16 BUTTERFLY NETWORK, INC
26.16.1 COMPANY OVERVIEW
26.16.2 REVENUE ANALYSIS
26.16.3 GEOGRAPHIC PRESENCE
26.16.4 PRODUCT PORTFOLIO
26.16.5 RECENT DEVELOPMENTS
26.17 ACCRAD TECHNOLOGIES, INC.
26.17.1 COMPANY OVERVIEW
26.17.2 REVENUE ANALYSIS
26.17.3 GEOGRAPHIC PRESENCE
26.17.4 PRODUCT PORTFOLIO
26.17.5 RECENT DEVELOPMENTS
26.18 INNOHEALTH TECHNOLOGIES
26.18.1 COMPANY OVERVIEW
26.18.2 REVENUE ANALYSIS
26.18.3 GEOGRAPHIC PRESENCE
26.18.4 PRODUCT PORTFOLIO
26.18.5 RECENT DEVELOPMENTS
26.19 HEARX IP (PTY) LTD.
26.19.1 COMPANY OVERVIEW
26.19.2 REVENUE ANALYSIS
26.19.3 GEOGRAPHIC PRESENCE
26.19.4 PRODUCT PORTFOLIO
26.19.5 RECENT DEVELOPMENTS
26.2 CARL ZEISS MICROSCOPY SOFTWARE CENTER ROSTOCK GMBH
26.20.1 COMPANY OVERVIEW
26.20.2 REVENUE ANALYSIS
26.20.3 GEOGRAPHIC PRESENCE
26.20.4 PRODUCT PORTFOLIO
26.20.5 RECENT DEVELOPMENTS
26.21 FUJIFILM CORPORATION
26.21.1 COMPANY OVERVIEW
26.21.2 REVENUE ANALYSIS
26.21.3 GEOGRAPHIC PRESENCE
26.21.4 PRODUCT PORTFOLIO
26.21.5 RECENT DEVELOPMENTS
26.22 DR CADX
26.22.1 COMPANY OVERVIEW
26.22.2 REVENUE ANALYSIS
26.22.3 GEOGRAPHIC PRESENCE
26.22.4 PRODUCT PORTFOLIO
26.22.5 RECENT DEVELOPMENTS
26.23 INTIXEL
26.23.1 COMPANY OVERVIEW
26.23.2 REVENUE ANALYSIS
26.23.3 GEOGRAPHIC PRESENCE
26.23.4 PRODUCT PORTFOLIO
26.23.5 RECENT DEVELOPMENTS
26.24 ALGORIZMIH HEALTH
26.24.1 COMPANY OVERVIEW
26.24.2 REVENUE ANALYSIS
26.24.3 GEOGRAPHIC PRESENCE
26.24.4 PRODUCT PORTFOLIO
26.24.5 RECENT DEVELOPMENTS
26.25 DELFT IMAGING
26.25.1 COMPANY OVERVIEW
26.25.2 REVENUE ANALYSIS
26.25.3 GEOGRAPHIC PRESENCE
26.25.4 PRODUCT PORTFOLIO
26.25.5 RECENT DEVELOPMENTS
26.26 QURE.AI TECHNOLOGIES PRIVATE LIMITED
26.26.1 COMPANY OVERVIEW
26.26.2 REVENUE ANALYSIS
26.26.3 GEOGRAPHIC PRESENCE
26.26.4 PRODUCT PORTFOLIO
26.26.5 RECENT DEVELOPMENTS
26.27 AIDOC
26.27.1 COMPANY OVERVIEW
26.27.2 REVENUE ANALYSIS
26.27.3 GEOGRAPHIC PRESENCE
26.27.4 PRODUCT PORTFOLIO
26.27.5 RECENT DEVELOPMENTS
26.28 NANO-X IMAGING LTD.
26.28.1 COMPANY OVERVIEW
26.28.2 REVENUE ANALYSIS
26.28.3 GEOGRAPHIC PRESENCE
26.28.4 PRODUCT PORTFOLIO
26.28.5 RECENT DEVELOPMENTS
26.29 INTERNATIONAL BUSINESS MACHINES CORPORATION
26.29.1 COMPANY OVERVIEW
26.29.2 REVENUE ANALYSIS
26.29.3 GEOGRAPHIC PRESENCE
26.29.4 PRODUCT PORTFOLIO
26.29.5 RECENT DEVELOPMENTS
27 RELATED REPORTS
28 CONCLUSION
29 QUESTIONNAIRE
30 ABOUT DATA BRIDGE MARKET RESEARCH
Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Customization Available
Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.
