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

Date: December 17, 2018
Pages: 217
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Report type: Strategic Report
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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
“AI in healthcare market projected to grow at 50.2% CAGR during 2018–2025”

The AI in healthcare market is expected to grow from USD 2.1 billion in 2018 to USD 36.1 billion by 2025, at a CAGR of 50.2% during the forecast period. Increasingly large and complex data set available in the form of big data and growing need to reduce the increasing healthcare cost drive the growth of this market. Improving computing power and declining cost of hardware are other key factors driving this market. However, reluctance among medical practitioners to adopt AI-based technologies and the lack of skilled workforce and ambiguous regulatory guidelines for medical software are among the major factors restraining the growth of the AI in healthcare market.

“Services segment to witness highest growth rate among other offerings during forecast period”

Growing adoption of AI solutions is expected to propel the growth of services segment, which is expected to witness the highest growth. For the successful deployment of AI, there is a need for deployment and integration, and support and maintenance services. Most companies that manufacture and develop AI systems and software provide both online and offline support depending on the applications.

“Machine learning to hold largest market followed by NLP in AI healthcare market”

Machine learning’s ability to collect and handle big data and increasing adoption of ML by hospitals, research centers, pharmaceutical companies, and other healthcare institutions to improve patient health are fueling its growth in AI in healthcare market. The growing adoption of NLP is applications such as patient-data and risk analysis, lifestyle management and monitoring, and mental health is propelling the growth of this technology in the market

“Hospitals and providers to hold largest market during forecast period”

The hospitals and providers segment is expected to hold the largest size of AI in healthcare market in terms of end user, during the forecast period. A few major factors responsible for the high share of the hospitals and providers segment include a large number of applications of AI solutions across provider settings; ability of AI systems to improve care delivery, patient experience, and bring down costs; and growing adoption of electronic health records by healthcare organizations. Moreover, AI-based tools, such as voice recognition software and clinical decision support systems, help streamline workflow processes in hospitals, lower cost, improve care delivery, and enhance patient experience.

“North America to witness highest growth from 2018 to 2025”

North America to likely to witness the highest CAGR during the forecast period. 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. Moreover, high consumerization of personal care products—routine check-up medical tools and wearable devices—is further complementing the growth of AI in healthcare market.

In the process of determining and verifying the market size for several segments and subsegments gathered through the secondary research, extensive primary interviews have been conducted with key industry experts in the AI in healthcare marketspace. The break-up of primary participants for the report has been shown below:
  • By Company Type: Tier 1 – 40%, Tier 2 – 25%, and Tier 3 – 35%
  • By Designation: C-level Executives – 45%, Directors – 25%, and Others – 30%
  • By Region: North America – 55%, Europe – 20%, APAC – 15%, and RoW – 10
The report profiles key players in the AI in healthcare market with their respective market ranking analysis. Prominent players profiled in this report are NVIDIA (US), Intel (US), IBM (US), Google (US), Microsoft (US), AWS (US), General Vision (US), GE Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US), Johnson & Johnson (US), and Koninklijke Philips N.V. (Netherlands).

Research Coverage:

This research report categorizes the global AI market on the basis of offering, technology, end-use application, end user, and geography. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the AI in healthcare market and forecasts the same till 2025.

Key Benefits of Buying the Report

The report would help leaders/new entrants in this market in the following ways:

1. This report segments the AI in healthcare market comprehensively and provides the closest market size projection for all subsegments across different regions.
2. The report helps stakeholders understand the pulse of the market and provides them with information on key drivers, restraints, challenges, and opportunities for market growth.
3. The report helps stakeholders to understand value-chain of AI in healthcare market along with recent case studies.
4. This report would help stakeholders understand their competitors better and gain more insights to improve their position in the business. The competitive landscape section includes product launch, acquisition, collaboration, expansion, and partnership.
1 INTRODUCTION

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

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

4 PREMIUM INSIGHTS

4.1 ATTRACTIVE OPPORTUNITIES IN AI IN HEALTHCARE MARKET
4.2 AI IN HEALTHCARE MARKET, BY OFFERING
4.3 AI IN HEALTHCARE MARKET, BY TECHNOLOGY
4.4 EUROPE: AI IN HEALTHCARE MARKET, BY END USER AND COUNTRY
4.5 AI IN HEALTHCARE MARKET, BY COUNTRY

5 MARKET OVERVIEW

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

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

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

8 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END-USE APPLICATION

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 & 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

9 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER

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

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 AI 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 AI in healthcare 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 AI in healthcare 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 AI in healthcare market

11 COMPETITIVE LANDSCAPE

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

12.1 KEY PLAYERS
(Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View)*

  12.1.1 NVIDIA
  12.1.2 INTEL
  12.1.3 IBM
  12.1.4 GOOGLE
  12.1.5 MICROSOFT
  12.1.6 GENERAL ELECTRIC (GE) COMPANY
  12.1.7 SIEMENS HEALTHINEERS (A STRATEGIC UNIT OF THE SIEMENS GROUP)
  12.1.8 MEDTRONIC
  12.1.9 MICRON TECHNOLOGY
  12.1.10 AMAZON WEB SERVICES (AWS)
*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

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

Table 1 INCREASE IN NEUROIMAGING AND GENETICS DATA, AND COMPLEXITY RELATIVE TO COMPUTATIONAL POWER
Table 2 PRICE COMPARISON: AI CHIPSETS (LEADING COMPANIES)
Table 3 AI IN HEALTHCARE MARKET, BY OFFERING, 2015–2025 (USD MILLION)
Table 4 AI IN HEALTHCARE MARKET, BY HARDWARE, 2015–2025 (USD MILLION)
Table 5 AI IN HEALTHCARE MARKET FOR HARDWARE, BY REGION, 2015–2025 (USD MILLION)
Table 6 AI IN HEALTHCARE MARKET, BY PROCESSOR, 2015–2025 (USD MILLION)
Table 7 AI IN HEALTHCARE MARKET FOR OFFERING, BY SOFTWARE, 2015–2025 (USD MILLION)
Table 8 AI IN HEALTHCARE MARKET FOR SOFTWARE, BY REGION, 2015–2025 (USD MILLION)
Table 9 AI IN HEALTHCARE MARKET FOR SOLUTION, BY DEPLOYMENT, 2015–2025 (USD MILLION)
Table 10 AI IN HEALTHCARE MARKET FOR SOFTWARE, BY PLATFORM, 2015–2025 (USD MILLION)
Table 11 AI IN HEALTHCARE MARKET, BY SERVICES, 2015–2025 (USD MILLION)
Table 12 AI IN HEALTHCARE MARKET FOR SERVICES, BY REGION, 2015–2025 (USD MILLION)
Table 13 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2015–2025 (USD MILLION)
Table 14 AI IN HEALTHCARE 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 AI IN HEALTHCARE MARKET FOR CONTEXT-AWARE COMPUTING, BY TYPE, 2015–2025 (USD MILLION)
Table 17 AI IN HEALTHCARE MARKET, BY END-USE APPLICATION, 2015–2025 (USD MILLION)
Table 18 AI IN HEALTHCARE MARKET FOR PATIENT DATA AND RISK ANALYSIS, BY REGION, 2015–2025 (USD MILLION)
Table 19 AI IN HEALTHCARE MARKET FOR PATIENT DATA AND RISK ANALYSIS, BY END USER, 2015–2025 (USD MILLION)
Table 20 AI IN HEALTHCARE MARKET FOR IN-PATIENT CARE & HOSPITAL MANAGEMENT, BY REGION, 2015–2025 (USD MILLION)
Table 21 AI IN HEALTHCARE MARKET FOR IN-PATIENT CARE AND HOSPITAL MANAGEMENT, BY END USER, 2015–2025 (USD MILLION)
Table 22 AI IN HEALTHCARE MARKET FOR MEDICAL IMAGING AND DIAGNOSTICS, BY REGION, 2015–2025 (USD MILLION)
Table 23 AI IN HEALTHCARE MARKET FOR MEDICAL IMAGING AND DIAGNOSTICS, BY END USER, 2015–2025 (USD MILLION)
Table 24 AI IN HEALTHCARE MARKET FOR LIFESTYLE MANAGEMENT & MONITORING, BY REGION, 2015–2025 (USD MILLION)
Table 25 AI IN HEALTHCARE MARKET FOR LIFESTYLE MANAGEMENT & MONITORING, BY END USER, 2015–2025 (USD MILLION)
Table 26 AI IN HEALTHCARE MARKET FOR VIRTUAL ASSISTANT, BY REGION, 2015–2025 (USD MILLION)
Table 27 AI IN HEALTHCARE MARKET FOR VIRTUAL ASSISTANT, BY END USER, 2015–2025 (USD MILLION)
Table 28 AI IN HEALTHCARE 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 AI IN HEALTHCARE MARKET FOR RESEARCH, BY REGION, 2015–2025 (USD MILLION)
Table 31 AI IN HEALTHCARE MARKET FOR RESEARCH, BY END USER, 2015–2025 (USD MILLION)
Table 32 AI IN HEALTHCARE MARKET FOR HEALTHCARE ASSISTANCE ROBOTS, BY REGION, 2015–2025 (USD MILLION)
Table 33 AI IN HEALTHCARE MARKET FOR HEALTHCARE ASSISTANCE ROBOTS, BY END USER, 2015–2025 (USD MILLION)
Table 34 AI IN HEALTHCARE MARKET FOR PRECISION MEDICINE, BY REGION, 2015–2025 (USD MILLION)
Table 35 AI IN HEALTHCARE MARKET FOR PRECISION MEDICINE, BY END USER, 2015–2025 (USD MILLION)
Table 36 AI IN HEALTHCARE MARKET FOR EMERGENCY ROOM & SURGERY, BY REGION, 2015–2025 (USD MILLION)
Table 37 AI IN HEALTHCARE MARKET FOR EMERGENCY ROOM & MONITORING, BY END USER, 2015–2025 (USD MILLION)
Table 38 AI IN HEALTHCARE MARKET FOR WEARABLES, BY REGION, 2015–2025 (USD MILLION)
Table 39 AI IN HEALTHCARE MARKET FOR WEARABLES, BY END USER, 2015–2025 (USD MILLION)
Table 40 AI IN HEALTHCARE MARKET FOR MENTAL HEALTH, BY REGION, 2015–2025 (USD MILLION)
Table 41 AI IN HEALTHCARE MARKET FOR MENTAL HEALTH, BY END USER, 2015–2025 (USD MILLION)
Table 42 AI IN HEALTHCARE MARKET, BY END USER, 2015–2025 (USD MILLION)
Table 43 AI IN HEALTHCARE MARKET FOR HOSPITALS AND PROVIDERS, BY APPLICATION, 2015–2025 (USD MILLION)
Table 44 AI IN HEALTHCARE MARKET FOR HOSPITALS AND PROVIDERS, BY REGION, 2015–2025 (USD MILLION)
Table 45 AI IN HEALTHCARE MARKET FOR PATIENTS, BY APPLICATION, 2015–2025 (USD MILLION)
Table 46 AI IN HEALTHCARE MARKET FOR PATIENTS, BY REGION, 2015–2025 (USD MILLION)
Table 47 AI IN HEALTHCARE MARKET FOR PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES, BY APPLICATION, 2015–2025 (USD MILLION)
Table 48 AI IN HEALTHCARE MARKET FOR PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES, BY REGION, 2015–2025 (USD MILLION)
Table 49 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS, BY APPLICATION, 2015–2025 (USD MILLION)
Table 50 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS, BY REGION, 2015–2025 (USD MILLION)
Table 51 AI IN HEALTHCARE MARKET FOR OTHERS, BY APPLICATION, 2015–2025 (USD MILLION)
Table 52 AI IN HEALTHCARE MARKET FOR OTHERS, BY REGION, 2015–2025 (USD MILLION)
Table 53 AI IN HEALTHCARE MARKET, BY REGION, 2015–2025 (USD MILLION)
Table 54 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY COUNTRY, 2015–2025(USD MILLION)
Table 55 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY END USER, 2015–2025 (USD MILLION)
Table 56 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY OFFERING, 2015–2025 (USD MILLION)
Table 57 AI IN HEALTHCARE MARKET IN EUROPE, BY COUNTRY, 2015–2025(USD MILLION)
Table 58 AI IN HEALTHCARE MARKET IN EUROPE, BY END USER, 2015–2025 (USD MILLION)
Table 59 AI IN HEALTHCARE MARKET IN EUROPE, BY OFFERING, 2015–2025 (USD MILLION)
Table 60 AI IN HEALTHCARE MARKET IN APAC, BY COUNTRY, 2015–2025 (USD MILLION)
Table 61 AI IN HEALTHCARE MARKET IN APAC, BY END USER, 2015–2025 (USD MILLION)
Table 62 AI IN HEALTHCARE MARKET IN APAC, BY OFFERING, 2015–2025 (USD MILLION)
Table 63 AI IN HEALTHCARE MARKET IN ROW, BY REGION, 2015–2025 (USD MILLION)
Table 64 AI IN HEALTHCARE MARKET IN ROW, BY END USER, 2015–2025 (USD MILLION)
Table 65 AI IN HEALTHCARE MARKET IN ROW, BY OFFERING, 2015–2025 (USD MILLION)

LIST OF 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 AI IN HEALTHCARE MARKET, BY PROCESSOR, 2018 VS. 2025 (USD MILLION)
Figure 8 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2015-2025 (USD MILLION)
Figure 9 AI IN HEALTHCARE MARKET, BY APPLICATION, 2018 VS. 2025 (USD MILLION)
Figure 10 AI IN HEALTHCARE MARKET, BY END USER, 2018 VS. 2025 (USD MILLION)
Figure 11 AI IN HEALTHCARE 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 AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
Figure 14 AI IN HEALTHCARE MARKET FOR MACHINE LEARNING TO HOLD LARGEST SIZE FROM 2018 TO 2025
Figure 15 GERMANY EXPECTED TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET IN 2018 IN EUROPE
Figure 16 US TO HOLD LARGEST SHARE OF AI IN HEALTHCARE 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 AI IN HEALTHCARE MARKET VALUE CHAIN IN 2017
Figure 20 SOFTWARE TO HOLD LARGEST SIZE OF AI IN HEALTHCARE 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 AI IN HEALTHCARE MARKET FOR SOFTWARE DURING FORECAST PERIOD
Figure 23 MACHINE LEARNING TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
Figure 24 AI 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 AI IN HEALTHCARE MARKET IN 2018 & 2025
Figure 29 PRECISION MEDICINE APPLICATION TO WITNESS HIGHEST CAGR IN AI IN HEALTHCARE MARKET FOR PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES DURING FORECAST PERIOD
Figure 30 CHINA & US ARE EMERGING AS NEW HOT SPOTS IN AI IN HEALTHCARE MARKET
Figure 31 NORTH AMERICA TO DOMINATE AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
Figure 32 NORTH AMERICA: SNAPSHOT OF AI IN HEALTHCARE MARKET
Figure 33 EUROPE: SNAPSHOT OF AI IN HEALTHCARE MARKET
Figure 34 HOSPITALS & PROVIDERS HELD LARGEST SHARE IN EUROPEAN AI IN HEALTHCARE MARKET IN 2018
Figure 35 APAC: SNAPSHOT OF AI IN HEALTHCARE MARKET
Figure 36 SERVICES TO WITNESS HIGHEST CAGR IN AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
Figure 37 ROW: SNAPSHOT OF AI IN HEALTHCARE MARKET
Figure 38 KEY DEVELOPMENTS ADOPTED BY TOP PLAYERS IN AI IN HEALTHCARE MARKET FROM 2015 TO MID-2018
Figure 39 RANKING OF KEY COMPANIES IN AI IN HEALTHCARE 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
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