▶ 調査レポート

医療におけるAIの世界市場予測(~2025年)

• 英文タイトル:Artificial Intelligence in Healthcare Market by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision), End-Use Application, End User, and Geography – Global Forecast to 2025

MarketsandMarketsが調査・発行した産業分析レポートです。医療におけるAIの世界市場予測(~2025年) / Artificial Intelligence in Healthcare Market by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision), End-Use Application, End User, and Geography – Global Forecast to 2025 / MRC6324713資料のイメージです。• レポートコード:MRC6324713
• 出版社/出版日:MarketsandMarkets / 2018年12月
• レポート形態:英文、PDF、217ページ
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レポート概要

MarketsandMarkets forecasts the artificial intelligence in healthcare market to be valued at USD 2.10 billion in 2018 and is likely to reach USD 36.15 billion by 2025, at a CAGR of 50.2% during the forecast period. Major drivers for the market are increasingly large and complex data set driving the need for AI; growing demand to reduce the increasing healthcare costs; improving computing power and declining hardware cost; growing number of cross-industry partnerships and collaborations; and increasing imbalance between health workforce and patients driving the need for improvised healthcare services.

By offering, services to grow at highest CAGR during forecast period
Growing adoption of AI in hospitals and other healthcare service providers is expected to boost the demand for services segment in later part of the forecast period.

By technology, the artificial intelligence in healthcare market for Machine learning technology to hold the largest market share throughout the forecast period
Machine learning’s ability to collect and handle big data, and its applications in various healthcare applications, such as patient data and risk analysis, drug discovery, and in-patient care and hospital management, are fueling its growth.

By geography, North America is expected to dominate the healthcare market
The North American AI in healthcare market is further segmented into the US, Canada, and Mexico. The US is considered one of the major contributors in the North American AI in healthcare market. The US is one of the leading countries in the world to adopt AI technology across the continuum of care.

Cross-industry participation in the healthcare domain along with significant increase in venture capital investment, is encouraging several new players to enter the market for AI in the healthcare space.

Market Dynamics
Driver: Rising need for improvised healthcare services due to imbalance between health workforce and patients
Maintaining a balance between health workforce and patients is a challenge in developed and developing countries, including the US, the UK, Germany, and India. AI and cognitive mobility platforms are helping medical practitioners easily and efficiently achieve their tasks with minimal human intervention. The deep learning technology in medical imaging solutions helps in various pathology tests, such as blood test, X-ray analysis, and cancer cell detection. The patient engagement

AI systems assist in medication management with the help of NLP and context aware processing technology. Therefore, with the decrease in doctor–patient ratio, AI brings in new solutions to bridge the gap between health workforce and patients.

Restraint: Reluctance among medical practitioners to adopt AI-based technologies
AI technologies offer doctors with tools that help them in better diagnose and effectively treat patients. However, there is an observed reluctance among doctors with regard to new technologies. For instance, there is a misconception among medical practitioners that AI will replace doctors in the coming years. Currently, many healthcare professionals have doubts over the capabilities of AI solutions in terms of accurately diagnosing patient conditions. Considering this, it is challenging to convince providers that AI-based solutions are cost-effective, efficient, and safe solutions that offer convenience to doctors as well as better care for patients.

Opportunity: Increasing focus on developing human-aware AI systems
The actual projections aimed during the emergence of AI technologies were to make them human-aware, i.e., developing models with the characteristics of human thinking. However, creating interactive and scalable machines remains a challenge for the developers of AI machines. Additionally, increasing human interference with AI techniques has introduced new research challenges, i.e., interpretation and presentation challenges such as interaction issues with automating parts and intelligent control of crowdsourcing parts. Interpretation challenges include challenges faced by AI machines in understanding human input, such as knowledge and specific directives. Presentation challenges include issues related to delivering the AI system’s output and feedback. Thus, the development of human-aware AI systems remains the foremost opportunity for AI developers.

Challenge: Concerns regarding data privacy
The main factor that is predicted to be a challenge for AI adoption among businesses is data privacy. AI technologies process data and generate outputs. Machine learning, deep learning, NLP, facial recognition, and emotion detection technologies feed on the stored data and provide actionable results. These technologies churn out useful data from enormous volumes of data and help businesses make critical decisions. Customers fear about their personal data being collected and used by AI; this data may include information such as their location and spending habits. To safeguard this information is a challenge for enterprises. Many nations follow privacy regulations to protect their citizens’ privacy and avoid any misuse. To maintain public trust and the ethical use of data by AI, many organizations, along with the governments of various nations, are working toward creating a robust AI-based framework.

The research report categorizes artificial intelligence in healthcare market to forecast the revenues and analyze the trends in each of the following sub-segments:

Artificial intelligence in healthcare market, by Offering
Hardware
Software
Services

Artificial intelligence in healthcare market, by Technology
Machine Learning
Natural Language Processing
Context-Aware Computing
Computer Vision
Querying Method

Artificial intelligence in healthcare market, by End-use Application
Patient data and Risk analysis
Inpatient care & Hospital Management
Medical Imaging and Diagnostics
Lifestyle Management and Monitoring
Virtual Assistant
Drug Discovery
Research
Healthcare Assistance Robots
Precision Medicine
Emergency Room & Robot Assisted Surgery
Wearables
Mental Health
Fraud Detection
Cybersecurity
Clinical Trial Participant Identifier
Others

Artificial intelligence in healthcare market, by End User
Hospitals and Providers
Patients
Pharmaceutical and Biotechnology companies
Healthcare Payers
Others (ACOs and MCOs)

Artificial intelligence in healthcare market, by Region
North America
Europe
Asia Pacific (APAC)
Rest of the world (ROW)

Key Market Players
Intel (US), NVIDIA (US), Siemens Healthcare (Germany), Medtronic (Ireland), Micron Technology (US), IBM (US), Microsoft (US), Google (US), Amazon Web Services (US), (General Electric (US), CloudMedx (US)

レポート目次

1 Introduction (Page No. – 20)
1.1 Study Objectives
1.2 Market Definition
1.3 Study Scope
1.3.1 Markets Covered
1.3.2 Years Considered
1.4 Currency
1.5 Stakeholders

2 Research Methodology (Page No. – 23)
2.1 Research Data
2.1.1 Secondary and Primary Research
2.1.1.1 Key Industry Insights
2.1.2 Secondary Data
2.1.2.1 List of Major Secondary Sources
2.1.2.2 Secondary Sources
2.1.3 Primary Data
2.1.3.1 Primary Interviews With Experts
2.1.3.2 Breakdown of Primaries
2.1.3.3 Primary Sources
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.1.1 Approach for Capturing the Market Share By Bottom-Up Analysis (Demand Side)
2.2.2 Top-Down Approach
2.2.2.1 Approach for Capturing the Market Share By Top-Down Analysis (Supply Side)
2.3 Market Breakdown and Data Triangulation
2.4 Research Assumptions

3 Executive Summary (Page No. – 33)

4 Premium Insights (Page No. – 40)
4.1 Attractive Opportunities in Artificial Intelligence in Healthcare Market
4.2 Market, By Offering
4.3 Market, By Technology
4.4 Europe: Market, By End User and Country
4.5 Market, By Country

5 Market Overview (Page No. – 44)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Increasingly Large and Complex Data Set
5.2.1.2 Growing Demand to Reduce Healthcare Costs
5.2.1.3 Improving Computing Power and Declining Hardware Cost
5.2.1.4 Growing Number of Cross-Industry Partnerships and Collaborations
5.2.1.5 Rising Need for Improvised Healthcare Services Due to Imbalance Between Health Workforce and Patients
5.2.2 Restraints
5.2.2.1 Reluctance Among Medical Practitioners to Adopt AI-Based Technologies
5.2.2.2 Lack of Skilled AI Workforce and Ambiguous Regulatory Guidelines for Medical Software
5.2.3 Opportunities
5.2.3.1 Growing Potential of AI-Based Tools for Elderly Care
5.2.3.2 Increasing Focus on Developing Human-Aware AI Systems
5.2.4 Challenges
5.2.4.1 Lack of Curated Healthcare Data
5.2.4.2 Concerns Regarding Data Privacy
5.2.4.3 Lack of Interoperability Between AI Solutions Offered By Different Vendors
5.3 Value Chain Analysis
5.4 Case Studies
5.4.1 Mayo Clinic’s Centre for Individualized Medicine Collaborated With Tempus to Personalize Cancer Treatment
5.4.2 Microsoft Collaborated With Cleveland Clinic to Identify Potential At-Risk Patients Under ICU Care
5.4.3 NVIDIA and Massachusetts General Hospital Partnered to Use Artificial Intelligence for Advanced Radiology, Pathology, & Genomics
5.4.4 Microsoft Partnered With Weil Cornell Medicine to Develop AI-Powered Chatbot
5.4.5 Partners Healthcare and GE Healthcare Entered Into 10-Year Collaboration for Integrating AI Across Continuum of Care

6 Artificial Intelligence in Healthcare Market, By Offering (Page No. – 58)
6.1 Introduction
6.2 Hardware
6.2.1 Processor
6.2.1.1 MPU
6.2.1.2 GPU
6.2.1.3 FPGA
6.2.1.4 ASIC
6.2.2 Memory
6.2.2.1 High-Bandwidth Memory is Being Developed and Deployed for AI Applications, Independent of Its Computing Architecture
6.2.3 Network
6.2.3.1 NVIDIA (US), Intel (US) and Mellanox Technologies (Israel) are the Key Providers of Network Interconnect Adapters for AI Applications
6.3 Software
6.3.1 AI Solutions
6.3.1.1 On-Premises
6.3.1.1.1 Data-Sensitive Enterprises Prefer On-Premises’ Advanced Nlp and Ml Tools to Be Used in AI Solutions
6.3.1.2 Cloud
6.3.1.2.1 The Cloud Provides Additional Flexibility for Business Operations and Real-Time Deployment Ease to Companies That are Implementing Real-Time Analytics
6.3.2 AI Platform
6.3.2.1 Machine Learning Framework
6.3.2.1.1 Major Tech Companies Such as Google, IBM, Microsoft are Developing and Offering Their Own Ml Frameworks
6.3.2.2 Application Program Interface (Api)
6.3.2.2.1 Apis are Used When Programming Graphical User Interface (Gui) Components
6.4 Services
6.4.1 Deployment & Integration
6.4.1.1 Need for Deployment and Integration Services for AI Hardware and Software Solutions is Supplementing the Growth of Services
6.4.2 Support & Maintenance
6.4.2.1 The Ultimate Objective of Maintenance Services is to Keep the System at an Acceptable Standard

7 Artificial Intelligence in Healthcare Market, By Technology (Page No. – 71)
7.1 Introduction
7.2 Machine Learning
7.2.1 Deep Learning
7.2.1.1 Deep Learning Enables A Machine to Build A Hierarchical Representation.
7.2.2 Supervised Learning
7.2.2.1 Classification and Regression are Major Segmentation of Supervised Learning
7.2.3 Reinforcement Learning
7.2.3.1 Reinforcement Learning Allows Systems and Software to Determine Ideal Behaviour for Maximizing Performance of the Systems
7.2.4 Unsupervised Learning
7.2.4.1 Unsupervised Learning Include Clustering Methods Consisting of Algorithms With Unlabelled Training Data
7.2.5 Others
7.3 Natural Language Processing
7.3.1 Nlp is Widely Used By the Clinical and Research Community in Healthcare
7.4 Context-Aware Computing
7.4.1 Development of More Sophisticated Hard and Soft Sensors has Accelerated the Growth of Context-Aware Computing
7.5 Computer Vision
7.5.1 Computer Vision Technology has Shown Significant Applications in Surgery and Therapy
7.6 Querying Method

8 Artificial Intelligence in Healthcare Market, By End-Use Application (Page No. – 79)
8.1 Introduction
8.2 Patient Data and Risk Analysis
8.2.1 Growth in Healthcare Data has Escalated Patient Data and Risk Analysis Application
8.3 Inpatient Care & Hospital Management
8.3.1 Demand to Reduce the Operational Cost in Hospitals to Generate Demand for AI-Based In-Patient Care and Hospital Management
8.4 Medical Imaging & Diagnostics
8.4.1 Growth in Medical Imaging Data has Propelled the Growth of Medical Imaging and Diagnostics Application
8.5 Lifestyle Management & Monitoring
8.5.1 AI Solutions for Lifestyle Management and Monitoring Helps Patients in Making Healthier Lifestyle Changes
8.6 Virtual Assistant
8.6.1 Increasing Demand to Improve Follow-Up Care, Especially for Patients With Chronic Diseases, is Driving the Growth of Virtual Assistants
8.7 Drug Discovery
8.7.1 AI to Reduce the Time and Cost Required in Drug Discovery
8.8 Research
8.8.1 Growing Adoption of Different Types of AI Algorithms Among Bioinformatics Researchers, Especially for Classifying and Mining Their Databases, is the Key Application of AI in Research
8.9 Healthcare Assistance Robots
8.9.1 Healthcare Assistance Robots have Been Adopted in Several Areas That Directly Affect Patient Care
8.10 Precision Medicine
8.10.1 AI is Expected to Fulfill the Demand for Personalized Treatment Plans for Patients Administered With Precision Medicine
8.11 Emergency Room & Robot-Assisted Surgery
8.11.1 Limited Workforce in Emergency Rooms and Demand to Support Clinicians With Surgical Data to Drive the Growth of AI in Emergency Room and Surgery
8.12 Wearables
8.12.1 Wearable Devices are Clinically Useful for Improving Real-Time Monitoring of Patients
8.13 Mental Health
8.13.1 Increase in Mental Disorders Across the World is the Key Factor Supporting the Growth of Mental Health Application
8.14 Fraud Detection
8.15 Cybersecurity
8.16 Clinical Trial Participant Identifier
8.17 Others

9 Artificial Intelligence in Healthcare Market, By End User (Page No. – 99)
9.1 Introduction
9.2 Hospitals and Providers
9.2.1 AI Can Be Utilized to Predict and Prevent Readmissions, and Improve Operations Among Hospitals and Providers
9.3 Patients
9.3.1 Smartphone Applications and Wearables to Drive the Adoption of AI Among Patients
9.4 Pharmaceutical and Biotechnology Companies
9.4.1 Applications Such as Drug Discovery, Precision Medicine, and Research to Drive AI in Pharmaceutical and Biotechnology Companies
9.5 Healthcare Payers
9.5.1 Healthcare Payers Use AI Tools Mainly for Managing Risk, Identifying Claims Trends, and Maximizing Payment Accuracy
9.6 Others
9.6.1 Patient Data and Risk Analytics and Healthcare Assistance Robots to Drive the Growth of AI in Acos and Mcos

10 Artificial Intelligence in Healthcare Market, By Region (Page No. – 111)
10.1 Introduction
10.2 North America
10.2.1 US
10.2.1.1 High Healthcare Spending to Complement the Growth of AI in the US
10.2.2 Canada
10.2.2.1 Continuous Research on Nlp and Ml Across Research Institutions and Universities in Canada Propels the Artificial Intelligence in Healthcare Market
10.2.3 Mexico
10.2.3.1 AI-Enabled Devices for the Healthcare Sector have Been Gaining Traction in Mexico
10.3 Europe
10.3.1 Germany
10.3.1.1 Rising Healthcare Data Generation in the Country Will Be A Key Driving Factor for the Growth of the Market
10.3.2 UK
10.3.2.1 Large Volume of Data Generated By Nhs and Digital Health Solutions have Paved the Way for AI in the UK
10.3.3 France
10.3.3.1 Healthcare It in France has Witnessed Considerable Implementation of AI Over the Last Decade
10.3.4 Italy
10.3.4.1 Development of Electronic Health Records and Aging Population to Drive the Market in Italy
10.3.5 Spain
10.3.5.1 Growing Awareness of AI in Spain to Drive the AI in Healthcare Market
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 China
10.4.1.1 High Spending By the Government in Healthcare and Official Plans to Digitize Medical Records to Drive the Market in China
10.4.2 Japan
10.4.2.1 Aging Population to Drive the Growth of AI in Japan
10.4.3 South Korea
10.4.3.1 Quality Healthcare Services and Rapid Expansion of Medical Insurance Coverage are Among the Driving Factors of Market in South Korea
10.4.4 India
10.4.4.1 Developing It Infrastructure in the Country and AI-Friendly Initiatives By the Government are the Key Factors Supporting the Growth of AI in India
10.4.5 Rest of Asia Pacific
10.5 Rest of the World
10.5.1 South America
10.5.1.1 Increasing Awareness About Potential Applications of AI in Healthcare is Driving the Growth of the Market in South America
10.5.2 Middle East and Africa
10.5.2.1 Growing Healthcare Expenditure in the Middle East and North Africa is A Key Growth Driver of Artificial Intelligence in Healthcare Market

11 Competitive Landscape (Page No. – 138)
11.1 Overview
11.2 Ranking of Players, 2017
11.3 Competitive Scenario
11.3.1 Product Developments and Launches
11.3.2 Collaborations, Partnerships, and Strategic Alliances
11.3.3 Acquisitions & Joint Ventures

12 Company Profiles (Page No. – 147)
12.1 Key Players
(Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View)*
12.1.1 NVIDIA
12.1.1.1 Business Overview
12.1.1.2 Products Offered
12.1.1.3 Recent Developments
12.1.1.4 SWOT Analysis
12.1.1.5 MnM View
12.1.2 Intel
12.1.2.1 Business Overview
12.1.2.2 Products Offered
12.1.2.3 Recent Developments
12.1.2.4 SWOT Analysis
12.1.2.5 MnM View
12.1.3 IBM
12.1.3.1 Business Overview
12.1.3.2 Products Offered
12.1.3.3 Recent Developments
12.1.3.4 SWOT Analysis
12.1.3.5 MnM View
12.1.4 Google
12.1.4.1 Business Overview
12.1.4.2 Products Offered
12.1.4.3 Recent Developments
12.1.4.4 SWOT Analysis
12.1.4.5 MnM View
12.1.5 Microsoft
12.1.5.1 Business Overview
12.1.5.2 Products Offered
12.1.5.3 Recent Developments
12.1.5.4 SWOT Analysis
12.1.5.5 MnM View
12.1.6 General Electric (GE) Company
12.1.6.1 Business Overview
12.1.6.2 Products Offered
12.1.6.3 Recent Developments
12.1.6.4 MnM View
12.1.7 Siemens Healthineers (A Strategic Unit of the Siemens Group)
12.1.7.1 Business Overview
12.1.7.2 Products Offered
12.1.7.3 Recent Developments
12.1.7.4 MnM View
12.1.8 Medtronic
12.1.8.1 Business Overview
12.1.8.2 Products Offered
12.1.8.3 Recent Developments
12.1.8.4 MnM View
12.1.9 Micron Technology
12.1.9.1 Business Overview
12.1.9.2 Products Offered
12.1.9.3 Recent Developments
12.1.9.4 MnM View
12.1.10 Amazon Web Services (AWS)
12.1.10.1 Business Overview
12.1.10.2 Products Offered
12.1.10.3 Recent Developments
12.1.10.4 MnM View
* Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View Might Not Be Captured in Case of Unlisted Companies.
12.2 Other Major Companies
12.2.1 Johnson & Johnson Services
12.2.2 Koninklijke Philips
12.2.3 General Vision
12.3 Company Profiles, By Application
12.3.1 Patient Data & Risk Analysis
12.3.1.1 Cloudmedx
12.3.1.2 Oncora Medical
12.3.1.3 Zephyr Health
12.3.1.4 Sentrian
12.3.1.5 Careskore
12.3.1.6 Linguamatics
12.3.2 Medical Imaging & Diagnostics
12.3.2.1 Enlitic
12.3.2.2 Bay Labs
12.3.2.3 Butterfly Networks
12.3.2.4 Imagia Cybernetics
12.3.3 Precision Medicine
12.3.3.1 Precision Health AI
12.3.3.2 Cota
12.3.3.3 Fdna
12.3.4 Drug Discovery
12.3.4.1 Recursion Pharmaceuticals
12.3.4.2 Atomwise
12.3.4.3 Deep Genomics
12.3.4.4 Cloud Pharmaceuticals
12.3.5 Lifestyle Management & Monitoring
12.3.5.1 Welltok
12.3.5.2 Vitagene
12.3.5.3 Lucina Health
12.3.6 Virtual Assistants
12.3.6.1 Next It (A Verint Systems Company)
12.3.6.2 Babylon
12.3.6.3 Mdlive
12.3.7 Wearables
12.3.7.1 Magnea
12.3.7.2 Physiq
12.3.7.3 Cyrcadia Health
12.3.8 Emergency Room & Surgery
12.3.8.1 Caresyntax
12.3.8.2 Gauss Surgical
12.3.8.3 Perceive3D
12.3.8.4 Maxq AI
12.3.9 In-Patient Care & Hospital Management
12.3.9.1 Qventus
12.3.9.2 Workfusion
12.3.10 Research
12.3.10.1 Icarbonx
12.3.10.2 Desktop Genetics
12.3.11 Mental Health
12.3.11.1 Ginger.Io
12.3.11.2 X2ai
12.3.11.3 Biobeats
12.3.12 Healthcare Assistance Robots
12.3.12.1 Pillo
12.3.12.2 Catalia Health

13 Appendix (Page No. – 207)
13.1 Insights From Industry Experts
13.2 Discussion Guide
13.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
13.4 Available Customizations
13.5 Related Reports
13.6 Author Details

List of Tables (103 Tables)

Table 1 Increase in Neuroimaging and Genetics Data, and Complexity Relative to Computational Power
Table 2 Price Comparison: AI Chipsets (Leading Companies)
Table 3 Artificial Intelligence in Healthcare Market, By Offering, 2015–2025 (USD Million)
Table 4 Market, By Hardware, 2015–2025 (USD Million)
Table 5 Market for Hardware, By Region, 2015–2025 (USD Million)
Table 6 Market, By Processor, 2015–2025 (USD Million)
Table 7 Market for Offering, By Software, 2015–2025 (USD Million)
Table 8 Market for Software, By Region, 2015–2025 (USD Million)
Table 9 Market for Solution, By Deployment, 2015–2025 (USD Million)
Table 10 Market for Software, By Platform, 2015–2025 (USD Million)
Table 11 Market, By Services, 2015–2025 (USD Million)
Table 12 Market for Services, By Region, 2015–2025 (USD Million)
Table 13 Market, By Technology, 2015–2025 (USD Million)
Table 14 Market for Machine Learning, By Type, 2015–2025 (USD Million)
Table 15 AI in Healthcare Market for Natural Language Processing, By Type, 2015–2025 (USD Million)
Table 16 Market for Context-Aware Computing, By Type, 2015–2025 (USD Million)
Table 17 Market, By End-Use Application, 2015–2025 (USD Million)
Table 18 Market for Patient Data and Risk Analysis, By Region, 2015–2025 (USD Million)
Table 19 Market for Patient Data and Risk Analysis, By End User, 2015–2025 (USD Million)
Table 20 Market for In-Patient Care & Hospital Management, By Region, 2015–2025 (USD Million)
Table 21 Market for In-Patient Care and Hospital Management, By End User, 2015–2025 (USD Million)
Table 22 Market for Medical Imaging and Diagnostics, By Region, 2015–2025 (USD Million)
Table 23 Market for Medical Imaging and Diagnostics, By End User, 2015–2025 (USD Million)
Table 24 Market for Lifestyle Management & Monitoring, By Region, 2015–2025 (USD Million)
Table 25 Market for Lifestyle Management & Monitoring, By End User, 2015–2025 (USD Million)
Table 26 Market for Virtual Assistant, By Region, 2015–2025 (USD Million)
Table 27 Market for Virtual Assistant, By End User, 2015–2025 (USD Million)
Table 28 Market for Drug Discovery, By Region, 2015–2025 (USD Million)
Table 29 AI in Healthcare Market for Drug Discovery, By End User, 2015–2025 (USD Million)
Table 30 Market for Research, By Region, 2015–2025 (USD Million)
Table 31 Market for Research, By End User, 2015–2025 (USD Million)
Table 32 Market for Healthcare Assistance Robots, By Region, 2015–2025 (USD Million)
Table 33 Artificial Intelligence in Healthcare Market for Healthcare Assistance Robots, By End User, 2015–2025 (USD Million)
Table 34 Market for Precision Medicine, By Region, 2015–2025 (USD Million)
Table 35 Market for Precision Medicine, By End User, 2015–2025 (USD Million)
Table 36 Market for Emergency Room & Robot Assisted Surgery, By Region, 2015–2025 (USD Million)
Table 37 Market for Emergency Room & Robot Assisted Surgery, By End User, 2015–2025 (USD Million)
Table 38 Market for Wearables, By Region, 2015–2025 (USD Million)
Table 39 Market for Wearables, By End User, 2015–2025 (USD Million)
Table 40 Market for Mental Health, By Region, 2015–2025 (USD Million)
Table 41 Market for Mental Health, By End User, 2015–2025 (USD Million)
Table 42 Market for Fraud Detection, By Region, 2015–2025 (USD Million)
Table 43 Market for Fraud Detection, By End User, 2015–2025 (USD Million)
Table 44 Market for Cybersecurity, By Region, 2015–2025 (USD Million)
Table 45 Market for Cybersecurity, By End User, 2015–2025 (USD Million)
Table 46 AI in Healthcare Market for Clinical Trial Participant Identifier, By Region, 2015–2025 (USD Million)
Table 47 Market for Clinical Trial Participant Identifier, By End User, 2015–2025 (USD Million)
Table 48 Market, By End User, 2015–2025 (USD Million)
Table 49 Market for Hospitals and Providers, By Application, 2015–2025 (USD Million)
Table 50 Market for Hospitals and Providers, By Region, 2015–2025 (USD Million)
Table 51 Market for Patients, By Application, 2015–2025 (USD Million)
Table 52 Market for Patients, By Region, 2015–2025 (USD Million)
Table 53 Market for Pharmaceutical and Biotechnology Companies, By Application, 2015–2025 (USD Million)
Table 54 Market for Pharmaceutical and Biotechnology Companies, By Region, 2015–2025 (USD Million)
Table 55 Market for Healthcare Payers, By Application, 2015–2025 (USD Million)
Table 56 Market for Healthcare Payers, By Region, 2015–2025 (USD Million)
Table 57 Market for Others, By Application, 2015–2025 (USD Million)
Table 58 Artificial Intelligence in Healthcare Market for Others, By Region, 2015–2025 (USD Million)
Table 59 Market, By Region, 2015–2025 (USD Million)
Table 60 Market in North America, By Country, 2015–2025(USD Million)
Table 61 Market in North America, By End User, 2015–2025 (USD Million)
Table 62 Market in North America, By Offering, 2015–2025 (USD Million)
Table 63 Market in the US, By End User, 2015–2025 (USD Million)
Table 64 AI in Healthcare Market in the US, By Offering, 2015–2025 (USD Million)
Table 65 Market in Canada, By End User, 2015–2025 (USD Million)
Table 66 Market in Canada, By Offering, 2015–2025 (USD Million)
Table 67 Market in Mexico, By End User, 2015–2025 (USD Million)
Table 68 Market in Mexico, By Offering, 2015–2025 (USD Million)
Table 69 Market in Europe, By Country, 2015–2025(USD Million)
Table 70 Market in Europe, By End User, 2015–2025 (USD Million)
Table 71 Market in Europe, By Offering, 2015–2025 (USD Million)
Table 72 Market in Germany, By End User, 2015–2025 (USD Million)
Table 73 Market in Germany, By Offering, 2015–2025 (USD Million)
Table 74 Market in the UK, By End User, 2015–2025 (USD Million)
Table 75 Market in the UK, By Offering, 2015–2025 (USD Million)
Table 76 Market in France, By End User, 2015–2025 (USD Million)
Table 77 Market in France, By Offering, 2015–2025 (USD Million)
Table 78 Market in Italy, By End User, 2015–2025 (USD Million)
Table 79 Artificial Intelligence in Healthcare Market in Italy, By Offering, 2015–2025 (USD Million)
Table 80 Market in Spain, By End User, 2015–2025 (USD Million)
Table 81 Market in Spain, By Offering, 2015–2025 (USD Million)
Table 82 Market in Rest of Europe, By End User, 2015–2025 (USD Million)
Table 83 Market in Rest of Europe, By Offering, 2015–2025 (USD Million)
Table 84 AI in Healthcare Market in APAC, By Country, 2015–2025 (USD Million)
Table 85 Market in APAC, By End User, 2015–2025 (USD Million)
Table 86 Market in APAC, By Offering, 2015–2025 (USD Million)
Table 87 Market in China, By End User, 2015–2025 (USD Million)
Table 88 Market in China, By Offering, 2015–2025 (USD Million)
Table 89 Market in Japan, By End User, 2015–2025 (USD Million)
Table 90 Market in Japan, By Offering, 2015–2025 (USD Million)
Table 91 Market in South Korea, By End User, 2015–2025 (USD Million)
Table 92 Market in South Korea, By Offering, 2015–2025 (USD Million)
Table 93 Market in India, By End User, 2015–2025 (USD Million)
Table 94 Market in India, By Offering, 2015–2025 (USD Million)
Table 95 Market in Rest of APAC, By End User, 2015–2025 (USD Million)
Table 96 Market in Rest of APAC, By Offering, 2015–2025 (USD Million)
Table 97 Market in RoW, By Region, 2015–2025 (USD Million)
Table 98 Market in RoW, By End User, 2015–2025 (USD Million)
Table 99 Market in RoW, By Offering, 2015–2025 (USD Million)
Table 100 Market in South America, By End User, 2015–2025 (USD Million)
Table 101 Market in South America, By Offering, 2015–2025 (USD Million)
Table 102 Market in Middle East & Africa, By End User, 2015–2025 (USD Million)
Table 103 Artificial Intelligence in Healthcare Market in Middle East & Africa, By Offering, 2015–2025 (USD Million)

List of Figures (49 Figures)

Figure 1 Artificial Intelligence in Healthcare Market: Research Design
Figure 2 Market Size Estimation Methodology: Bottom-Up Approach
Figure 3 Market Size Estimation Methodology: Top-Down Approach
Figure 4 Data Triangulation
Figure 5 Assumptions for the Research Study
Figure 6 AI in Healthcare Market, By Offering, 2018 vs 2025 (USD Million)
Figure 7 Market, By Processor, 2018 vs 2025 (USD Million)
Figure 8 Market, By Technology, 2015-2025 (USD Million)
Figure 9 Artificial Intelligence in Healthcare Market, By Application, 2018 vs 2025 (USD Million)
Figure 10 Market, By End User, 2018 vs 2025 (USD Million)
Figure 11 Market, By Region, 2018
Figure 12 Growing Big Data in Healthcare and Increasing Adoption of AI-Based Tools in Healthcare Facilities are Major Factors Driving Market Growth
Figure 13 Software to Hold Largest Share of Market During Forecast Period
Figure 14 Market for Machine Learning to Hold Largest Size From 2018 to 2025
Figure 15 Germany Expected to Hold Largest Share of Market in 2018 in Europe
Figure 16 US to Hold Largest Share of Market in 2018
Figure 17 Increasingly Large and Complex Data Set and Growing Demand to Reduce Healthcare Costs are Driving Market Growth
Figure 18 Types of Healthcare Breaches Reported to U.S. Department of Health and Human Services
Figure 19 Artificial Intelligence in Healthcare Market Value Chain in 2017
Figure 20 Software to Hold Largest Size of Market During Forecast Period
Figure 21 AI in Healthcare Processor Market for GPU to Grow at Highest CAGR During Forecast Period
Figure 22 North America to Hold Largest Market in Market for Software During Forecast Period
Figure 23 Machine Learning to Hold Largest Share of Market During Forecast Period
Figure 24 Artificial Intelligence in Healthcare Market for Medical Imaging & Diagnostics to Grow at Highest CAGR During Forecast Period
Figure 25 North America to Lead Lifestyle Management & Monitoring Application During Forecast Period
Figure 26 North America to Hold Largest Market in Research Application During Forecast Period
Figure 27 North America to Hold Largest Share in Emergency Room & Surgery Application in 2018
Figure 28 Hospitals and Providers to Hold Largest Share of Market in 2018 & 2025
Figure 29 Precision Medicine Application to Witness Highest CAGR in Market for Pharmaceutical & Biotechnology Companies During Forecast Period
Figure 30 China & US are Emerging as New Hot Spots in Market
Figure 31 North America to Dominate Market During Forecast Period
Figure 32 North America: Snapshot of Market
Figure 33 Europe: Snapshot of Artificial Intelligence in Healthcare Market
Figure 34 Hospitals & Providers Held Largest Share in European Market in 2018
Figure 35 APAC: Snapshot of Market
Figure 36 Services to Witness Highest CAGR in Market During Forecast Period
Figure 37 RoW: Snapshot of Market
Figure 38 Key Developments Adopted By Top Players in Artificial Intelligence in Healthcare Market From 2015 to Mid-2018
Figure 39 Ranking of Key Companies in Market (2017)
Figure 40 NVIDIA: Company Snapshot
Figure 41 Intel: Company Snapshot
Figure 42 IBM: Company Snapshot
Figure 43 Google: Company Snapshot
Figure 44 Microsoft: Company Snapshot
Figure 45 GE: Company Snapshot
Figure 46 Siemens Healthineers: Company Snapshot
Figure 47 Medtronic: Company Snapshot
Figure 48 Micron Technology: Company Snapshot
Figure 49 AWS: Company Snapshot