AI in Medical Diagnostics: Global Markets
Report Scope: The current report offers a detailed picture of the AI medical diagnostics market. This report highlights the current and future market potential for AI medical diagnostics and ... もっと見る
SummaryReport Scope:The current report offers a detailed picture of the AI medical diagnostics market. This report highlights the current and future market potential for AI medical diagnostics and provides a detailed analysis of the competitive environment, regulatory scenario, drivers, restraints, opportunities, and trends in the market. The report also covers market projections through 2026, as well as key market players. This report discusses the AI medical diagnostics market and its various resources. It covers the overall AI medical diagnostics market including hardware, software and analytics, and services. The report further analyzes the market based on application, providing an analysis of oncology, cardiology, neurology, orthopedic and others. In addition, the report also analyses various modalities of diagnostics imaging including MRI, CT scans, ultrasounds, X-rays and others (ECG, EEG, etc.). Furthermore, a complete regional analysis of the market is also studied in the report. Based on geography, the market has been segmented into North America, Europe, Asia-Pacific and the Rest of the World (which includes Latin America, and the Middle East and Africa). Detailed analyses of major countries (the U.S., Canada, Germany, the U.K., France, Spain, Italy, Japan, China and India) are covered in regional segments. For market estimates, data has been provided for 2020 as the base year, with forecasts for 2021 through 2026. Estimated values are based on product manufacturers’ total revenues. Projected and forecasted revenue values are in constant U.S. dollars that have not been adjusted for inflation. Report Includes: - 68 data tables and 67 additional tables - A brief general outlook of the global market for artificial intelligence (AI) in medical diagnostics - Analyses of the global market trends, with historic data from 2019 and 2020, estimates for 2021, and projections of compound annual growth rates (CAGRs) through 2026 - Evaluation and forecast the global AI medical diagnostics market size, and corresponding market share analysis by component, medical specialty application area, end-user, treatment modality, and geographic region - Technology assessment of the key drivers, restraints and opportunities that will shape the market for AI medical diagnostics over the next five years (2021 to 2026) - Country specific data and market value analysis for the U.S., Canada, France, Germany, U.K., Italy, Spain, China, India, Japan and other emerging economies - Identification of key artificial intelligence technologies and products with the greatest commercial potential, and relevant applications of various AI tools in medical diagnosis, breakthrough therapies and patient health management - Highlights of the COVID-19 impact on the global AI medical diagnostics market as well as the overall MedTech industry - Insight into recent industry structure, current competitive scenario, R&D activities, regulatory and legislative issues, and product launch strategies currently focused on AI technologies - Patent activity and review of patent grants for AI medical diagnostics across each major category - Understanding of the start-up ecosystem and competitor dashboard for key market participants in global AI medical diagnostics market - Descriptive company profiles of the leading market players, including Canon Medical System Corp., GE Healthcare, Intel, IBM Corp., Nano-X Imaging Ltd., Siemens Healthcare GmbH, and Subtle Medical, Inc. Table of ContentsTable of ContentsChapter 1 Introduction Study Goals and Objectives Reasons for Doing This Study Scope of Report Information Sources Methodology Geographic Breakdown Analyst's Credentials BCC Custom Research Related BCC Research Reports Chapter 2 Summary and Highlights Chapter 3 Market and Technology Background Introduction to Artificial Intelligence Understanding Artificial Intelligence in Healthcare Artificial Intelligence in Healthcare Evolution and Transition Defining Artificial Intelligence in Medical Diagnostics Disease Detection and Diagnostics Industry Structure Data Warehouse Artificial Intelligence (AI) Analysis Software Development List of FDA-Approved AI and Machine Learning-Enabled Medical Devices/Diagnostics Devices and Algorithms AI and Machine Learning-Enabled Medical Devices/Radiology and Other Imaging Modalities Artificial Intelligence and Machine Learning (AI/ML) Algorithms Chapter 4 Market Dynamics Drivers Investment in AI Health Sector Increasing Strategic Moves by Market Players Rising Incidence of Chronic Diseases Restraints and Challenges Reluctance Among Medical Practitioners to Adopt AI-Based Technologies Ambiguous Regulatory Guidelines for Medical Software Challenge To Maintain Data Security Opportunities Integration of Software with Artificial Intelligence Untapped Potential in Emerging Markets Chapter 5 Impact of COVID-19 on the AI Medical Diagnostics Market Introduction Regulatory Delays, Clinical Trials and Product Launches Supply Chain Disruptions Impact on MedTech Impact on AI Medical Diagnostics Home-Based Pathology Chapter 6 Global Market for AI Medical Diagnostics by Component Software Services Hardware Chapter 7 Global Market for AI Medical Diagnostics by Medical Specialty Application Area Oncology Cardiology Neurology Orthopedics Others Chapter 8 Global Market for AI Medical Diagnostics by End User Hospitals and Clinics Diagnostic Imaging Centers and Diagnostic Laboratories Chapter 9 Global Market for AI Medical Diagnostics by Modality MRI CT Scans Common Applications of CT Scans Application of CT in Pediatric Patients Benefits Ultrasound X-Rays Advantages of X-Ray Machines Others Chapter 10 Global Market for AI Medical Diagnostics by Region North America United States Canada Europe Germany United Kingdom France Italy Spain Rest of Europe Asia-Pacific China Japan India Rest of Asia-Pacific Rest of the World Chapter 11 Regulatory Framework Regulatory Framework American Diabetes Association's Standards of Medical Care in Diabetes ATA Guidelines for Artificial Intelligence (AI) Indian AI Guidelines, Strategy and Standards Chapter 12 Patent Review Introduction Patent Review Companies Granted Patents in AI Medical Diagnostics Patent Review by Geography Chapter 13 Start-up Ecosystem Introduction Chapter 14 Competitive Landscape Analysis Primary Strategies: Partnerships, Collaborations, Agreements and Contracts FDA/CE Mark/EU Approval: Secondary Strategy Review of Company Strategies Used Chapter 15 Company Profiles AIDOC MEDICAL LTD. ARTERYS INC. BEHOLD.AI TECHNOLOGIES LTD. BUTTERFLY NETWORK CANON MEDICAL SYSTEM CORP. CAPTION HEALTH DEEPMIND TECHNOLOGIES LTD. DIGITAL DIAGNOSTICS ENLITIC INC. FUJIFILM HOLDING CORP. GE HEALTHCARE HEURON CO., LTD. IMAGEN TECHNOLOGIES INTERNATIONAL BUSINESS MACHINES CORP. (IBM) ICARBONX INTEL CORP. MEDTRONIC PLC MICROSOFT CORP. NANO-X IMAGING LTD. NVIDIA PHILIPS HEALTHCARE QURE.AI ROCHE HOLDING AG SAMSUNG ELECTRONICS INC. SIEMENS HEALTHCARE SUBTLE MEDICAL, INC. SYNAPSICA XILINX, INC.
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