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市場調查報告書

醫療的人工智能 (AI)的全球市場 - 至2022年的預測:深度學習,查詢方式,NLP,情境察覺處理

Artificial Intelligence in Healthcare Market by Offering (Hardware, Software and Services), Technology (Deep Learning, Querying Method, NLP, and Context Aware Processing), Application, End-User Industry, and Geography - Global Forecast to 2022

出版商 MarketsandMarkets 商品編碼 500057
出版日期 內容資訊 英文 222 Pages
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醫療的人工智能 (AI)的全球市場 - 至2022年的預測:深度學習,查詢方式,NLP,情境察覺處理 Artificial Intelligence in Healthcare Market by Offering (Hardware, Software and Services), Technology (Deep Learning, Querying Method, NLP, and Context Aware Processing), Application, End-User Industry, and Geography - Global Forecast to 2022
出版日期: 2017年05月03日 內容資訊: 英文 222 Pages
簡介

醫療的人工智能 (AI) 市場,預計從2016年的6億6710萬美元,到2022年擴大到79億8880萬美元。預計市場2017年∼2022年以52.68%的成長。

本報告提供全球醫療的人工智能 (AI) 市場相關調查分析,市場概要,產業趨勢,各市場區隔的市場分析,競爭情形,主要企業等相關的系統性資訊。

第1章 簡介

第2章 調查手法

第3章 摘要整理

第4章 重要考察

  • 醫療的人工智能 (AI) :市場概要
  • 醫療的人工智能 (AI) 市場規模:各提供
  • 各地區分析:醫療的人工智能 (AI) 市場,各技術
  • 醫療的人工智能 (AI) 市場:各用途
  • 醫療的人工智能 (AI) 市場:各終端用戶
  • 醫療的人工智能 (AI) 市場各地區概述

第5章 醫療的人工智能 (AI)的全球市場:概要

  • 簡介
    • 推動因素
    • 阻礙因素
    • 機會
    • 課題

第6章 醫療的人工智能 (AI)的全球市場:產業趨勢

  • 簡介
  • 價值鏈分析
  • 財源

第7章 醫療的人工智能 (AI)的全球市場:各提供

  • 簡介
  • 硬體設備
  • 軟體
  • 服務

第8章 醫療的人工智能 (AI)的全球市場:各技術

  • 簡介
  • 自然語言處理 (NLP)
  • 情境察覺處理
  • 深度學習 (深層學習)
  • 查詢方式

第9章 醫療的人工智能 (AI)的全球市場:各用途

  • 簡介
  • 患者資料與風險分析
  • 醫療圖像診斷
  • 精密醫療 (個人化醫療)
  • 藥物研發
  • 生活方式管理、監測
  • 虛擬助手
  • 穿戴式設備
  • 住院患者治療、醫院管理
  • 研究

第10章 醫療的人工智能 (AI)的全球市場:各終端用戶

  • 簡介
  • 供應商
  • 製藥、生物科技企業
  • 付款人
  • 患者
  • ACO、MCO

第11章 醫療的人工智能 (AI)的全球市場:各地區

  • 簡介
  • 北美
  • 歐洲
  • 亞太地區
  • 其他

第12章 競爭情形

  • 概要
  • 主要企業
  • 產業策略
  • 產品系列分析
  • 競爭情形與趨勢

第13章 企業簡介

  • 簡介
  • INTEL CORPORATION
  • NVIDIA CORPORATION
  • GOOGLE INC.
  • IBM CORPORATION
  • MICROSOFT CORPORATION
  • GENERAL VISION, INC.
  • ENLITIC, INC.
  • NEXT IT CORP.
  • WELLTOK, INC.
  • ICARBONX
  • RECURSION PHARMACEUTICALS, INC.
  • KONINKLIJKE PHILIPS N.V.
  • GENERAL ELECTRIC (GE) COMPANY
  • SIEMENS HEALTHINEERS
  • JOHNSON & JOHNSON SERVICES, INC.
  • MEDTRONIC PLC
  • STRYKER CORPORATION
  • CARESKORE
  • ZEPHYR HEALTH, INC.
  • ONCORA MEDICAL
  • SENTRIAN
  • BAY LABS, INC.
  • ATOMWISE
  • DEEP GENOMICS
  • CLOUDMEDX INC.

第14章 附錄

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目錄
Product Code: SE 5225

"Growing usage of big data in healthcare industry and imbalance between health workforce and patients is expected to drive the growth of the AI in healthcare market"

The artificial intelligence (AI) in healthcare market was valued at USD 667.1 million in 2016 and is expected to reach USD 7,988.8 million by 2022, at a CAGR of 52.68% between 2017 and 2022. The growth of this market is driven by the growing usage of Big Data in healthcare industry, ability of AI to improve patient outcomes, imbalance between health workforce and patients, reducing the healthcare costs, growing importance on precision medicine, cross-industry partnerships, and significant increase in venture capital investments in AI in healthcare domain. However, reluctance among medical practitioners to adopt AI-based technologies and ambiguous regulatory guidelines for medical software are the major factors restraining the growth of the AI in healthcare market

"Faster calculations and lesser power consumption are the factors driving the growth of the hardware market for AI in healthcare"

Hardware-which includes GPUs, DSPs, FPGAs, and neuromorphic chips-is expected to grow at the highest rate in the offering segment of AI in healthcare. The GPU, DSP, and FPGA are widely used to implement the deep learning algorithm. In terms of throughput, GPU is faster than FPGA; whereas in the case of power efficiency, FPGA is better than GPU. Keeping these factors in mind, the AI providers choose the hardware accordingly.

"Owing the factors of Natural Language Processing (NLP) to handle structured and unstructured data are driving the NLP market in AI in healthcare market"

NLP currently holds the largest market share among the AI technologies. This demand has grown since the companies have started to structure the clinical data and find interpretation from them. Moreover the growing usage of internet and connected devices along with huge volume of patient's data driven the growth of this market.

"North America to witness the highest growth rate in the market for AI in healthcare"

North America is expected to be the largest and fastest-growing market for AI in healthcare during the forecast period. The regulatory mandates for the use of Electronic Health Records, increasing focus on precision medicine, strong presence of leading companies engaged in developing AI solutions for healthcare, and large number of cross-industry collaborations and growing investments in the field of AI in healthcare are driving the growth of the market in North America.

The breakup of the profile of primary participants has been given below:

  • By Companies: Tier 1 - 40 %, Tier 2 - 20%, and Tier 3 - 40%
  • By Designation: C-level Executives - 40%, Directors - 40%, and Others - 20%
  • By Region: North America - 40%, Europe - 40%, APAC - 10%, and RoW - 10%

This report provides valuable insights into the ecosystem of the AI in healthcare market including the software companies, and chipset and medical solution providers. The major players in the AI in healthcare market are IBM Corporation (US), Intel Corporation (US), Google, Inc. (US), NVIDIA Corporation (US), Microsoft Corporation (US), iCarbonX (China), Next IT Corp. (US), CloudMedx Inc. (US), Carescore (US), Atomwise, Inc. (US), Zephyr Health, Inc. (US), Sentirian (US), BabyLabs, Inc. (US), Siemens Healthineers GmbH (Germany), Johnson & Johnson (US), Welltok, Inc. (US), General Vision, Inc. (US), Enlitic, Inc. (US), Recursion Pharmaceuticals (US), General Electric Company (US), Stryker Corporation (US), Deep Genomics, Inc. (Canada), Medtronic Plc. (Ireland), Koninklijke Philips N.V. (Netherlands), and Oncora Medical, Inc. (US).

Research Coverage:

The AI in healthcare market has been segmented on the basis of offering, technology, application, end-user industry, and geography. On the basis of offering, the market has been further segmented into hardware, software, and services. The AI in healthcare market is further segmented on the basis of technology into deep learning, querying method, NLP, and context aware processing. The market has been segmented on the basis of application into patient data and risk analysis lifestyle management and monitoring, precision medicine, in-patient care and hospital management, medical imaging and diagnosis, drug discovery, virtual assistant, wearables, and research. On the basis of geography, the market has been segmented into North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW).

Reasons to Buy the Report:

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

  • 1. This report segments the AI in healthcare market comprehensively and provides the closest approximations of the market sizes for the overall market and subsegments across the different applications and regions.
  • 2. This report helps stakeholders to understand the pulse of the AI in healthcare market and provides them information on key market drivers, restraints, challenges, and opportunities.

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. OBJECTIVES OF THE STUDY
  • 1.2. MARKET DEFINITION
  • 1.3. SCOPE OF THE STUDY
    • 1.3.1. MARKETS COVERED
    • 1.3.2. YEARS CONSIDERED FOR THE STUDY
  • 1.4. CURRENCY
  • 1.5. LIMITATIONS
  • 1.6. STAKEHOLDERS

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY DATA
      • 2.1.1.1. Secondary sources
    • 2.1.2. PRIMARY DATA
      • 2.1.2.1. Primary sources
      • 2.1.2.2. Key industry insights
      • 2.1.2.3. Breakdown of primaries
  • 2.2. DEMAND- AND SUPPLY-SIDE ANALYSIS OF AI IN THE HEALTHCARE MARKET
    • 2.2.1. INTRODUCTION
    • 2.2.2. DEMAND-SIDE ANALYSIS
      • 2.2.2.1. Imbalance between health workforce and patients
      • 2.2.2.2. Increase in geriatric population
      • 2.2.2.3. Increase in total health expenditure by an individual
    • 2.2.3. SUPPLY-SIDE ANALYSIS
      • 2.2.3.1. Cross-industry partnership in healthcare domain
  • 2.3. MARKET SIZE ESTIMATION
    • 2.3.1. BOTTOM-UP APPROACH
    • 2.3.2. TOP-DOWN APPROACH
  • 2.4. MARKET BREAKDOWN AND DATA TRIANGULATION
  • 2.5. RESEARCH ASSUMPTIONS

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ARTIFICIAL INTELLIGENCE IN HEALTHCARE: MARKET OVERVIEW
  • 4.2. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY OFFERING, 2017 VS. 2022(USD MILLION)
  • 4.3. GEOGRAPHIC ANALYSIS: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY (2016)
  • 4.4. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION
  • 4.5. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER
  • 4.6. GEOGRAPHIC SNAPSHOT OF THE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET

5. MARKET OVERVIEW

  • 5.1. INTRODUCTION
    • 5.1.1. DRIVERS
      • 5.1.1.1. Big data in healthcare
      • 5.1.1.2. Ability of AI to improve patient outcomes
      • 5.1.1.3. Imbalance between health workforce and patients
      • 5.1.1.4. Growing need to reduce increasing healthcare costs
      • 5.1.1.5. Growing importance of precision medicine
      • 5.1.1.6. Growing number of cross-industry partnerships and collaborations
      • 5.1.1.7. Significant increase in venture capital investments
    • 5.1.2. RESTRAINTS
      • 5.1.2.1. Reluctance among medical practitioners to adopt AI-based technologies
      • 5.1.2.2. Ambiguous regulatory guidelines for medical software
    • 5.1.3. OPPORTUNITIES
      • 5.1.3.1. Significant growth opportunities of emerging markets such as India, China, and Brazil
      • 5.1.3.2. Growing potential of AI-based tools for elderly care
    • 5.1.4. CHALLENGES
      • 5.1.4.1. Lack of curated healthcare data
      • 5.1.4.2. Concerns regarding data privacy
      • 5.1.4.3. Lack of interoperability between AI solutions offered by different vendors

6. INDUSTRY TRENDS

  • 6.1. INTRODUCTION
  • 6.2. VALUE CHAIN ANALYSIS
  • 6.3. FUNDING, 2015-2017

7. ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET, BY OFFERING

  • 7.1. INTRODUCTION
  • 7.2. HARDWARE
  • 7.3. SOFTWARE
    • 7.3.1. AI PLATFORM
    • 7.3.2. SOLUTION
  • 7.4. SERVICES
    • 7.4.1. DEPLOYMENT AND INTEGRATION
    • 7.4.2. SUPPORT AND MAINTENANCE

8. ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET, BY TECHNOLOGY

  • 8.1. INTRODUCTION
  • 8.2. NATURAL LANGUAGE PROCESSING (NLP)
  • 8.3. CONTEXT AWARE PROCESSING
  • 8.4. DEEP LEARNING
  • 8.5. QUERYING METHOD

9. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION

  • 9.1. INTRODUCTION
  • 9.2. PATIENT DATA AND RISK ANALYSIS
  • 9.3. MEDICAL IMAGING AND DIAGNOSTICS
  • 9.4. PRECISION MEDICINE
  • 9.5. DRUG DISCOVERY
  • 9.6. LIFESTYLE MANAGEMENT & MONITORING
  • 9.7. VIRTUAL ASSISTANT
  • 9.8. WEARABLES
  • 9.9. INPATIENT CARE AND HOSPITAL MANAGEMENT
  • 9.10. RESEARCH

10. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER

  • 10.1. INTRODUCTION
  • 10.2. PROVIDERS
  • 10.3. PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES
  • 10.4. PAYERS
  • 10.5. PATIENTS
  • 10.6. ACOS AND MCOS

11. ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET, BY GEOGRAPHY

  • 11.1. INTRODUCTION
  • 11.2. NORTH AMERICA
    • 11.2.1. US
    • 11.2.2. CANADA
    • 11.2.3. MEXICO
  • 11.3. EUROPE
    • 11.3.1. GERMANY
    • 11.3.2. FRANCE
    • 11.3.3. UK
    • 11.3.4. ITALY
    • 11.3.5. SPAIN
    • 11.3.6. REST OF EUROPE
  • 11.4. APAC
    • 11.4.1. CHINA
    • 11.4.2. JAPAN
    • 11.4.3. SOUTH KOREA
    • 11.4.4. INDIA
    • 11.4.5. REST OF APAC
  • 11.5. REST OF THE WORLD
    • 11.5.1. SOUTH AMERICA
    • 11.5.2. MIDDLE EAST AND AFRICA

12. COMPETITIVE LANDSCAPE

  • 12.1. OVERVIEW
  • 12.2. KEY PLAYERS IN AI IN THE HEALTHCARE MARKET
  • 12.3. DIVE CHART
    • 12.3.1. VANGUARDS
    • 12.3.2. DYNAMIC PLAYERS
    • 12.3.3. INNOVATORS
    • 12.3.4. EMERGING PLAYERS
  • 12.4. BUSINESS STRATEGY ADOPTED BY MAJOR PLAYERS IN AI IN THE HEALTHCARE MARKET (FOR ALL 25 COMPANIES)
  • 12.5. ANALYSIS OF PRODUCT PORTFOLIO OF MAJOR PLAYERS IN AI IN THE HEALTHCARE MARKET (25 COMPANIES)
  • 12.6. COMPETITIVE SITUATIONS AND TRENDS

25 Companies analyzed across this ecosystem are - Intel Corporation, IBM Corporation, Google Inc., NVIDIA CORPORATION, iCarbonX, Welltok, Inc., Microsoft Corporation, Medtronic Plc, Koninklijke Philips N.V., General Electric Company, Siemens Healthineers GmbH, Johnson & Johnson, Recursion Pharmaceuticals, General Vision Inc., Enlitic, Inc.,Next IT Corp, Stryker Corporation, Sentrian, Oncora Medical, CloudMedx Inc., Bay Labs, Inc., Atomwise, Inc., Careskore, Zephyr Health, Inc. Deep Genomics.

13. COMPANY PROFILES (Business Overview, Products Offered, Product Offering Scorecard, Business Strategy Scorecard, Recent Developments, Key Relationships)*

  • 13.1. INTRODUCTION
  • 13.2. INTEL CORPORATION
  • 13.3. NVIDIA CORPORATION
  • 13.4. GOOGLE INC.
  • 13.5. IBM CORPORATION
  • 13.6. MICROSOFT CORPORATION
  • 13.7. GENERAL VISION, INC.
  • 13.8. ENLITIC, INC.
  • 13.9. NEXT IT CORP.
  • 13.10. WELLTOK, INC.
  • 13.11. ICARBONX
  • 13.12. RECURSION PHARMACEUTICALS, INC.
  • 13.13. KONINKLIJKE PHILIPS N.V.
  • 13.14. GENERAL ELECTRIC (GE) COMPANY
  • 13.15. SIEMENS HEALTHINEERS (A DIVISION OF SIEMENS AG)
  • 13.16. JOHNSON & JOHNSON SERVICES, INC.
  • 13.17. MEDTRONIC PLC
  • 13.18. STRYKER CORPORATION
  • 13.19. CARESKORE
  • 13.20. ZEPHYR HEALTH, INC.
  • 13.21. ONCORA MEDICAL
  • 13.22. SENTRIAN
  • 13.23. BAY LABS, INC.
  • 13.24. ATOMWISE
  • 13.25. DEEP GENOMICS
  • 13.26. CLOUDMEDX INC.

*Details on Business Overview, Products Offered, Product Offering Scorecard, Business Strategy Scorecard, Recent Developments, Key Relationships might not be captured in case of unlisted companies.

14. APPENDIX

  • 14.1. INSIGHTS FROM INDUSTRY EXPERTS
  • 14.2. DISCUSSION GUIDE
  • 14.3. KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.4. INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
  • 14.5. AVAILABLE CUSTOMIZATIONS
  • 14.6. RELATED REPORTS
  • 14.7. AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET, BY OFFERING, 2014-2022 (USD MILLION)
  • TABLE 2: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET FOR HARDWARE, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 3: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET FOR OFFERING, BY SOFTWARE, 2014-2022 (USD MILLION)
  • TABLE 4: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET FOR SOFTWARE, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 5: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET FOR OFFERING, BY SERVICE, 2014-2022 (USD MILLION)
  • TABLE 6: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET FOR HARDWARE, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 7: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2014-2022 (USD MILLION)
  • TABLE 8: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET FOR NLP, BY PROCESS, 2014-2022 (USD MILLION)
  • TABLE 9: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET FOR DEEP LEARNING, BY PROCESS, 2014-2022 (USD MILLION)
  • TABLE 10: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET FOR DEEP LEARNING, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 11: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY APPLICATION, 2014-2022 (USD MILLION)
  • TABLE 12: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR PATIENT DATA AND RISK ANALYSIS, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 13: PATIENT DATA AND RISK ANALYSIS MARKET SIZE, BY END USER, 2014-2022 (USD MILLION)
  • TABLE 14: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR MEDICAL IMAGING AND DIAGNOSTICS, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 15: MEDICAL IMAGING AND DIAGNOSTICS MARKET SIZE, BY END USER, 2014-2022 (USD MILLION)
  • TABLE 16: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR PRECISION MEDICINE, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 17: PRECISION MEDICINE MARKET SIZE, BY END USER, 2014-2022 (USD MILLION)
  • TABLE 18: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR DRUG DISCOVERY, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 19: DRUG DISCOVERY MARKET SIZE, BY END USER, 2014-2022 (USD MILLION)
  • TABLE 20: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR LIFESTYLE MANAGEMENT & MONITORING, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 21: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR VIRTUAL ASSISTANT, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 22: VIRTUAL ASSISTANT MARKET SIZE, BY END USER, 2014-2022 (USD MILLION)
  • TABLE 23: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR WEARABLES, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 24: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR INPATIENT CARE AND HOSPITAL MANAGEMENT, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 25: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR RESEARCH, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 26: RESEARCH MARKET SIZE, BY END USER, 2014-2022 (USD MILLION)
  • TABLE 27: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY END USER, 2014-2022 (USD MILLION)
  • TABLE 28: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR PROVIDERS, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 29: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR PROVIDERS, BY APPLICATION, 2014-2022 (USD MILLION)
  • TABLE 30: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 31: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES, BY APPLICATION, 2014-2022 (USD MILLION)
  • TABLE 32: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR PAYERS, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 33: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR PATIENTS, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 34: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR PATIENTS, BY APPLICATION, 2014-2022 (USD MILLION)
  • TABLE 35: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR ACOS AND MCOS, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 36: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE FOR ACOS AND MCOS, BY APPLICATION, 2014-2022 (USD MILLION)
  • TABLE 37: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 38: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET IN NORTH AMERICA, BY COUNTRY, 2014-2022 (USD MILLION)
  • TABLE 39: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET IN NORTH AMERICA, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 40: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET IN THE US, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 41: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET IN CANADA, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 42: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET IN MEXICO, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 43: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN EUROPE, BY COUNTRY, 2014-2022 (USD MILLION)
  • TABLE 44: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN EUROPE, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 45: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN GERMANY, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 46: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN FRANCE, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 47: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN UK, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 48: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN ITALY, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 49: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN SPAIN, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 50: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN ROE, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 51: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET IN APAC, BY COUNTRY, 2014-2022 (USD MILLION)
  • TABLE 52: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET IN APAC, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 53: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET IN CHINA, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 54: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET IN JAPAN, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 55: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET IN SOUTH KOREA, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 56: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET IN INDIA, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 57: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET IN REST OF APAC, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 58: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN ROW, BY REGION, 2014-2022 (USD MILLION)
  • TABLE 59: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN ROW, BY END USER, 2014-2022 (USD MILLION)
  • TABLE 60: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN SOUTH AMERICA, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 61: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN THE MIDDLE EAST AND AFRICA, BY INDUSTRY, 2014-2022 (USD MILLION)
  • TABLE 62: TOP 5 PLAYERS IN AI IN THE HEALTHCARE MARKET, 2016

LIST OF FIGURES

  • FIGURE 1: AI IN THE HEALTHCARE MARKET SEGMENTATION
  • FIGURE 2: AI IN THE HEALTHCARE MARKET: RESEARCH DESIGN
  • FIGURE 3: GLOBAL AGING POPULATION, 2015-2030
  • FIGURE 4: GLOBAL EXPENDITURE ON HEALTHCARE ON TOTAL GDP IN 2014
  • FIGURE 5: PROCESS FLOW OF MARKET SIZE ESTIMATION
  • FIGURE 6: MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 7: MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 8: DATA TRIANGULATION
  • FIGURE 9: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY OFFERING, 2016 VS. 2022 (USD MILLION)
  • FIGURE 10: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET SIZE, BY TECHNOLOGY, 2016 VS. 2022 (USD MILLION)
  • FIGURE 11: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY APPLICATION, 2016 VS. 2022 (USD MILLION)
  • FIGURE 12: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SIZE, BY END USER, 2016 VS. 2022 (USD MILLION)
  • FIGURE 13: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION: NORTH AMERICA TO REGISTER THE HIGHEST GROWTH IN THE FORECAST PERIOD
  • FIGURE 14: GROWING BIG DATA IN HEALTHCARE AND THE INCREASING ADOPTION OF AI-BASED TOOLS IN HEALTHCARE FACILITIES ARE THE MAJOR FACTORS DRIVING MARKET GROWTH
  • FIGURE 15: SOFTWARE SEGMENT WILL CONTINUE TO DOMINATE THE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN 2022
  • FIGURE 16: NATURAL LANGUAGE PROCESSING SEGMENT ACCOUNTED FOR THE LARGEST MARKET SHARE IN 2016
  • FIGURE 17: MEDICAL IMAGING & DIAGNOSTICS TO GROW AT THE HIGHEST RATE IN THE FORECAST PERIOD
  • FIGURE 18: PAYERS TO GROW AT THE HIGHEST RATE IN THE FORECAST PERIOD
  • FIGURE 19: CHINA TO REGISTER THE HIGHEST CAGR FROM 2017 TO 2022
  • FIGURE 20: AI IN THE HEALTHCARE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 21: AI IN THE HEALTHCARE MARKET VALUE CHAIN IN 2016
  • FIGURE 22: SOFTWARE TO HOLD LARGEST SHARE OF AI IN THE HEALTHCARE MARKET IN 2022
  • FIGURE 23: AI PLATFORM TO GROW AT HIGHER RATE IN THE HEALTHCARE MARKET FOR SOFTWARE DURING 2017-2022
  • FIGURE 24: ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE MARKET, BY TECHNOLOGY
  • FIGURE 25: DEEP LEARNING TECHNOLOGY IS EXPECTED TO GROW AT THE HIGHEST CAGR FOR AI IN THE HEALTHCARE MARKET BETWEEN 2017 AND 2022
  • FIGURE 26: PATTERN AND IMAGE RECOGNITION PROCESS IS EXPECTED TO GROW AT THE HIGHEST RATE FOR NLP IN AI IN THE HEALTHCARE MARKET BETWEEN 2017 AND 2022
  • FIGURE 27: MEDICAL IMAGING & DIAGNOSTICS SEGMENT TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 28: LIFESTYLE MANAGEMENT & MONITORING MARKET SIZE FOR PATIENTS SEGMENT (2015-2022)
  • FIGURE 29: WEARABLES MARKET SIZE FOR PATIENTS SEGMENT (2015-2022)
  • FIGURE 30: INPATIENT CARE AND HOSPITAL MANAGEMENT MARKET SIZE FOR PROVIDERS SEGMENT (2015-2022)
  • FIGURE 31: PROVIDERS TO DOMINATE THE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET IN 2017-2022
  • FIGURE 32: PATIENT DATA AND RISK ANALYSIS MARKET SIZE FOR PAYERS SEGMENT (2015-2022)
  • FIGURE 33: NORTH AMERICA TO DOMINATE THE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET DURING THE FORECAST PERIOD
  • FIGURE 34: NORTH AMERICA: AI IN THE HEALTHCARE MARKET SNAPSHOT
  • FIGURE 35: PROVIDERS SEGMENT TO LEAD AI IN THE HEALTHCARE MARKET IN THE US DURING THE FORECAST PERIOD
  • FIGURE 36: EUROPE: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET SNAPSHOT
  • FIGURE 37: PROVIDERS, THE LARGEST INDUSTRY SEGMENT IN THE GERMAN MARKET
  • FIGURE 38: APAC: AI IN THE HEALTHCARE MARKET SNAPSHOT
  • FIGURE 39: PATIENTS SEGMENT IS EXPECTED TO GROW AT THE HIGHEST RATE IN AI IN THE HEALTHCARE MARKET IN JAPAN DURING 2017-2022
  • FIGURE 40: PROVIDER SEGMENT TO HOLD THE LARGEST SHARE OF THE AI IN HEALTHCARE MARKET IN SOUTH AMERICA IN 2022
  • FIGURE 41: COMPANIES ADOPTED PARTNERSHIPS, COLLABORATIONS, AGREEMENTS, AND ACQUISITIONS AS THE KEY GROWTH STRATEGIES IN THE LAST 3 YEARS (2014-2016)
  • FIGURE 42: DIVE CHART
  • FIGURE 43: BATTLE FOR MARKET SHARE: PRODUCT LAUNCHES AND DEVELOPMENTS-THE KEY STRATEGY ADOPTED BY THE MARKET PLAYERS BETWEEN 2014 AND 2016
  • FIGURE 44: INTEL CORPORATION: COMPANY SNAPSHOT (2016)
  • FIGURE 45: NVIDIA CORPORATION: COMPANY SNAPSHOT (2016)
  • FIGURE 46: GOOGLE INC.: COMPANY SNAPSHOT (2016)
  • FIGURE 47: IBM CORPORATION: COMPANY SNAPSHOT (2016)
  • FIGURE 48: MICROSOFT CORPORATION: COMPANY SNAPSHOT (2016)
  • FIGURE 49: KONINKLIJKE PHILIPS N.V.: COMPANY SNAPSHOT (2016)
  • FIGURE 50: GENERAL ELECTRIC COMPANY: COMPANY SNAPSHOT (2016)
  • FIGURE 51: SIEMENS AG: COMPANY SNAPSHOT (2016)
  • FIGURE 52: JOHNSON & JOHNSON SERVICES, INC.: COMPANY SNAPSHOT (2016)
  • FIGURE 53: MEDTRONIC PLC: COMPANY SNAPSHOT (2016)
  • FIGURE 54: STRYKER CORPORATION: COMPANY SNAPSHOT (2016)
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