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Artificial Intelligence in Healthcare Market by Offering (Hardware, Software, and Services), Technology (Deep Learning, Querying Method, Natural Language Processing, and Context Aware Processing), Application (Robot-assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others), and End User (Healthcare Provider, Pharmaceutical & Biotechnology Company, Patient, and Payer) - Global Opportunity Analysis and Industry Forecast, 2017-2023

  • ID: LI 172421
  • Jul 2017
  • 160 pages
  • Price: $4296
$2765

Artificial Intelligence (AI) in Healthcare Market Overview:

Global Artificial Intelligence (Ai) In Healthcare Market was valued at $1,441 million in 2016, and is estimated to reach at $22,790 million by 2023, registering a CAGR of 48.0% from 2017 to 2023. Artificial intelligence (AI) can be defined as the science and engineering adopted to design intelligent machines, especially computer programs. AI utilizes computer algorithms based on human intelligence, such as reasoning, learning, and problem solving, in various fields, including biology, computer science, mathematics, linguistics, psychology, and engineering. Furthermore, AI is applicable in medication management, treatment plans, and drug discovery.

The global artificial intelligence in healthcare market is driven by the ability of AI to improve patient outcomes, increase in need for coordination between healthcare workforce & patients, rise in adoption of precision medicine, significant use of big data in the healthcare sector, and remarkable rise in venture capital investments.

The artificial intelligence in healthcare market is segmented based on offering, technology, application, end user, and geography. On the basis of offering, the market is divided into hardware, software, and services. By technology, it is classified into deep learning, querying method, natural language processing, and context aware processing. Applications covered in the study include robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. According to end user, the market is categorized into healthcare provider, pharmaceutical & biotechnology company, patient, and payer. Geographically, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The market is expected to witness a moderate growth rate during the forecast period, owing to & rise in adoption of AI systems and technological advancements in AI systems. Possibility of using AI-based tools for elderly care and untapped potential of the emerging markets, such as China and India, are expected to provide lucrative opportunities for the market growth. However, lack of standard regulations and guidelines and reluctance among healthcare professionals to adopt AI-based technologies are expected to hamper the market growth.

The report provides an extensive competitive analysis and profiles of key market players such as Welltok, Inc., Intel Corporation, Nvidia Corporation, Alphabet Inc. (Google Inc.), IBM Corporation, Microsoft Corporation, General Vision, Enlitic, Inc., Next IT Corporation, and iCarbonX.
The other players in the value chain include Shimadzu Recursion Pharmaceuticals, Inc., Siemens Healthineers, General Electric (GE) Company, Koninklijke Philips N.V., Cloudmedx, Inc., and Bay Labs, Inc.

Asia-Pacific possesses high growth potential, owing to increase in accessibility & availability of AI systems, rise in healthcare & research expenditure, and high economic development.

Key Benefits

  • This report entails a detailed quantitative analysis of the current market trends in artificial intelligence in healthcare market
  •  from 2016 to 2023 to identify the prevailing opportunities.
  • Market estimations are based on comprehensive analysis of the key developments in the industry.
  • In-depth geographical analysis assists to understand the regional market and the strategic business planning.
  • Developmental strategies adopted by key manufacturers are enlisted to understand the competitive scenario of the market.

Artificial Intelligence (AI) in Healthcare Market Key Segments

By Offering

  • Hardware
  • Software
  • Service

By Technology

  • Deep Learning
  • Querying Method
  • Natural Language Processing
  • Context Aware Processing

By Application

  • Robot-assisted Surgery
  • Virtual Nursing Assistant
  • Administrative Workflow Assistance
  • Fraud Detection
  • Dosage Error Reduction
  • Clinical Trial Participant Identifier
  • Preliminary Diagnosis
  • Others

By End User

  • Healthcare Providers
  • Pharmaceutical & Biotechnology Company
  • Patients
  • Payers

By Geography

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • UK
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • Japan
    • China
    • Australia
    • India
    • South Korea
    • Taiwan
    • Rest of Asia-Pacific
  • LAMEA
    • Brazil
    • Saudi Arabia
    • South Africa
    • Rest of LAMEA
 

Chapter: 1 INTRODUCTION

1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS
1.3. KEY MARKET SEGMENTS
1.4. RESEARCH METHODOLOGY

1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools & models

Chapter: 2 EXECUTIVE SUMMARY

2.1. CXO PERSPECTIVE

Chapter: 3 MARKET OVERVIEW

3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS

3.2.1. Top investment pockets
3.2.2. Top winning strategies

3.3. PORTERS FIVE FORCE ANALYSIS
3.4. REGULATIONS AND REIMBURSEMENT SCENARIO
3.5. MARKET DYNAMICS

3.5.1. Drivers

3.5.1.1. Increase in processing power of AI systems leading to better AI capabilities
3.5.1.2. Dearth of skilled healthcare professionals

3.5.2. Restraints

3.5.2.1. Limitations of AI decision-making
3.5.2.2. Limited acceptance from healthcare professionals owing to risk of injury and misinterpretation

3.5.3. Opportunities

3.5.3.1. Application of AI for novel surgeries and screening
3.5.3.2. Untapped market in developing regions

Chapter: 4 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING

4.1. OVERVIEW

4.1.1. Market size and forecast

4.2. HARDWARE

4.2.1. Key market trends
4.2.2. Key growth factors and opportunities
4.2.3. Market size and forecast

4.3. SOFTWARE

4.3.1. Key market trends
4.3.2. Key growth factors and opportunities
4.3.3. Market size and forecast

4.4. SERVICES

4.4.1. Key market trends
4.4.2. Key growth factors and opportunities
4.4.3. Market size and forecast

Chapter: 5 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION

5.1. OVERVIEW

5.1.1. Market size and forecast

5.2. ROBOT-ASSISTED SURGERY

5.2.1. Market size and forecast

5.3. VIRTUAL NURSING ASSISTANTS

5.3.1. Market size and forecast

5.4. ADMINISTRATIVE WORKFLOW ASSISTANCE

5.4.1. Market size and forecast

5.5. FRAUD DETECTION

5.5.1. Market size and forecast

5.6. DOSAGE ERROR REDUCTION

5.6.1. Market size and forecast

5.7. CLINICAL TRIAL PARTICIPANT IDENTIFIER

5.7.1. Market size and forecast

5.8. PRELIMINARY DIAGNOSIS

5.8.1. Market size and forecast

5.9. OTHER APPLICATIONS

5.9.1. Market size and forecast

Chapter: 6 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY

6.1. OVERVIEW

6.1.1. Market size and forecast

6.2. DEEP LEARNING

6.2.1. Market size and forecast

6.3. QUERYING METHOD

6.3.1. Market size and forecast

6.4. NATURAL LANGUAGE PROCESSING

6.4.1. Market size and forecast

6.5. CONTEXT AWARE PROCESSING

6.5.1. Market size and forecast

Chapter: 7 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER

7.1. OVERVIEW

7.1.1. Market size and forecast

7.2. HEALTHCARE PROVIDERS

7.2.1. Market size and forecast

7.3. PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES

7.3.1. Market size and forecast

7.4. PATIENTS

7.4.1. Market size and forecast

7.5. PAYERS

7.5.1. Market size and forecast

Chapter: 8 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY GEOGRAPHY

8.1. NORTH AMERICA

8.1.1. Key market trends
8.1.2. Key growth factors and opportunities
8.1.3. Market size and forecast

8.1.3.1. U.S. market size and forecast
8.1.3.2. Canada market size and forecast
8.1.3.3. Mexico market size and forecast

8.2. EUROPE

8.2.1. Key market trends
8.2.2. Key growth factors and opportunities
8.2.3. Market size and forecast

8.2.3.1. Germany market size and forecast
8.2.3.2. France market size and forecast
8.2.3.3. UK market size and forecast
8.2.3.4. Italy market size and forecast
8.2.3.5. Spain market size and forecast
8.2.3.6. Rest of Europe market size and forecast

8.3. ASIA-PACIFIC

8.3.1. Key market trends
8.3.2. Key growth factors and opportunities
8.3.3. Market size and forecast

8.3.3.1. Japan market size and forecast
8.3.3.2. China market size and forecast
8.3.3.3. Australia market size and forecast
8.3.3.4. India market size and forecast
8.3.3.5. South Korea market size and forecast
8.3.3.6. Taiwan market size and forecast
8.3.3.7. Rest of Asia-Pacific market size and forecast

8.4. LAMEA

8.4.1. Key market trends
8.4.2. Key growth factors and opportunities
8.4.3. Market size and forecast

8.4.3.1. Brazil market size and forecast
8.4.3.2. Saudi Arabia market size and forecast
8.4.3.3. Republic of South Africa market size and forecast
8.4.3.4. Rest of LAMEA market size and forecast

Chapter: 9 COMPANY PROFILES

9.1. ALPHABET INC. (GOOGLE INC.)

9.1.1. Company overview
9.1.2. Company snapshot
9.1.3. Operating business segments
9.1.4. Product portfolio
9.1.5. Business performance

9.2. ENLITIC, INC.

9.2.1. Company overview
9.2.2. Company snapshot
9.2.3. Product portfolio
9.2.4. Key strategic moves and developments

9.3. GENERAL VISION

9.3.1. Company overview
9.3.2. Company snapshot
9.3.3. Operating business segments
9.3.4. Product portfolio
9.3.5. Key strategic moves and developments

9.4. ICARBONX

9.4.1. Company overview
9.4.2. Company snapshot
9.4.3. Product portfolio
9.4.4. Key strategic moves and developments

9.5. INTEL CORPORATION

9.5.1. Company overview
9.5.2. Company snapshot
9.5.3. Operating business segments
9.5.4. Product portfolio
9.5.5. Business performance

9.6. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM CORPORATION)

9.6.1. Company overview
9.6.2. Company snapshot
9.6.3. Operating business segments
9.6.4. Product portfolio
9.6.5. Business performance
9.6.6. Key strategic moves and developments

9.7. MICROSOFT CORPORATION

9.7.1. Company overview
9.7.2. Company snapshot
9.7.3. Operating business segments
9.7.4. Product portfolio
9.7.5. Business performance
9.7.6. Key strategic moves and developments

9.8. NVIDIA CORPORATION

9.8.1. Company overview
9.8.2. Company snapshot
9.8.3. Operating business segments
9.8.4. Product portfolio
9.8.5. Business performance

9.9. NEXT IT CORP.

9.9.1. Company overview
9.9.2. Company snapshot
9.9.3. Operating business segments
9.9.4. Product portfolio

9.10. WELLTOK, INC.

9.10.1. Company overview
9.10.2. Company snapshot
9.10.3. Operating business segments
9.10.4. Product portfolio
9.10.5. Key strategic moves and developments

LIST OF TABLES

TABLE 1. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 2. HARDWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 3. SOFTWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 4. SERVICES ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION ($MILLION)
TABLE 6. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ROBOT-ASSISTED SURGERY, BY REGION, 2016-2023 ($MILLION)
TABLE 7. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR VIRTUAL NURSING ASSISTANTS, BY REGION, 2016-2023 ($MILLION)
TABLE 8. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ADMINISTRATIVE WORKFLOW ASSISTANCE, BY REGION, 2016-2023 ($MILLION)
TABLE 9. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR FRAUD DETECTION, BY REGION, 2016-2023 ($MILLION)
TABLE 10. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR DOSAGE ERROR REDUCTION, BY REGION, 2016-2023 ($MILLION)
TABLE 11. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR CLINICAL TRIAL PARTICIPANT IDENTIFIER, BY REGION, 2016-2023 ($MILLION)
TABLE 12. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PRELIMINARY DIAGNOSIS, BY REGION, 2016-2023 ($MILLION)
TABLE 13. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR OTHER APPLICATIONS, BY REGION, 2016-2023 ($MILLION)
TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 15. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET USING DEEP LEARNING, BY REGION, 2016-2023 ($MILLION)
TABLE 16. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET USING QUERYING METHOD, BY REGION, 2016-2023 ($MILLION)
TABLE 17. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET USING NATURAL LANGUAGE PROCESSING, BY REGION, 2016-2023 ($MILLION)
TABLE 18. ARTIFICIAL INTELLIGENCE IN HEALTHCARE USING CONTEXT AWARE PROCESSING MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 20. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR HEALTHCARE PROVIDERS, BY REGION, 2016-2023 ($MILLION)
TABLE 21. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY REGION, 2016-2023 ($MILLION)
TABLE 22. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PATIENTS, BY REGION, 2016-2023 ($MILLION)
TABLE 23. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PAYERS, BY REGION, 2016-2023 ($MILLION)
TABLE 24. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 25. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 26. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 27. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 28. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 29. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 30. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 31. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 32. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 33. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 34. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 35. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 36. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 37. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 38. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 39. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 40. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 41. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 42. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 43. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 44. ALPHABET INC.: COMPANY SNAPSHOT
TABLE 45. ALPHABET INC.: OPERATING SEGMENTS
TABLE 46. GOOGLE: PRODUCT PORTFOLIO
TABLE 47. ENLITIC: COMPANY SNAPSHOT
TABLE 48. ENLITIC: PRODUCT PORTFOLIO
TABLE 49. GENERAL VISION: COMPANY SNAPSHOT
TABLE 50. GENERAL VISION: OPERATING SEGMENTS
TABLE 51. GENERAL VISION: PRODUCT PORTFOLIO
TABLE 52. ICARBONX: COMPANY SNAPSHOT
TABLE 53. ICARBONX: PRODUCT PORTFOLIO
TABLE 54. INTEL CORPORATION: COMPANY SNAPSHOT
TABLE 55. INTEL CORPORATION: OPERATING SEGMENTS
TABLE 56. INTEL CORPORATION: PRODUCT PORTFOLIO
TABLE 57. IBM: COMPANY SNAPSHOT
TABLE 58. IBM: OPERATING SEGMENTS
TABLE 59. IBM: PRODUCT PORTFOLIO
TABLE 60. MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 61. MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 62. NVIDIA CORPORATION: COMPANY SNAPSHOT
TABLE 63. NVIDIA: OPERATING SEGMENTS
TABLE 64. NVIDIA CORPORATION: PRODUCT PORTFOLIO
TABLE 65. NEXT IT: COMPANY SNAPSHOT
TABLE 66. NEXT IT: PRODUCT CATEGORIES
TABLE 67. NEXT IT: PRODUCT PORTFOLIO
TABLE 68. WELLTOK: COMPANY SNAPSHOT
TABLE 69. WELLTOK: PRODUCT CATEGORIES
TABLE 70. WELLTOK: PRODUCT PORTFOLIO

LIST OF FIGURES

FIGURE 1. TOP INVESTMENT POCKETS IN GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET
FIGURE 2. TOP WINNING STRATEGIES: PERCENTAGE DISTRIBUTION (2014-2017)
FIGURE 3. TOP WINNING STRATEGIES: NATURE AND TYPE
FIGURE 4. TOP WINNING STRATEGIES: NATURE AND COMPANY
FIGURE 5. BARGAINING POWER OF BUYERS
FIGURE 6. BARGAINING POWER OF SUPPLIERS
FIGURE 7. THREAT OF SUBSTITUTION
FIGURE 8. THREAT OF NEW ENTRANT
FIGURE 9. COMPETITIVE RIVALRY
FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: SEGMENTATION BY OFFERING
FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: SEGMENTATION BY APPLICATION
FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: SEGMENTATION BY END USER
FIGURE 13. U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 14. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 15. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 16. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 17. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 18. UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 19. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 20. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 21. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 22. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 23. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 24. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 25. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 26. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 27. TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 28. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 29. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 30. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 31. REPUBLIC OF SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 32. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 33. ALPHABET INC.: REVENUE, 2014-2016 ($MILLION)
FIGURE 34. ALPHABET INC.: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 35. ALPHABET INC.: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 36. INTEL CORPORATION: REVENUE, 2014-2016 ($MILLION)
FIGURE 37. INTEL CORPORATION: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 38. INTEL CORPORATION: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 39. IBM: REVENUE, 2014-2016 ($MILLION)
FIGURE 40. IBM: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 41. MICROSOFT CORPORATION: REVENUE, 2014-2016 ($MILLION)
FIGURE 42. MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 43. MICROSOFT CORPORATION: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 44. NVIDIA CORPORATION: REVENUE, 2014-2016 ($MILLION)
FIGURE 45. NVIDIA CORPORATION: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 46. NVIDIA CORPORATION: REVENUE SHARE BY GEOGRAPHY, 2016 (%)

 

The demand for artificial intelligence systems (AI) is increasing exponentially, as these systems can accomplish challenging tasks without human intervention. These systems can enhance their perception and reasoning power, which helps the system to perform any repetitive functions carried out manually. Different technologies such as natural language processing and deep learning are used in AI systems to improve its efficiency in the healthcare market.

Presently, AI systems in the healthcare sector are used for therapy planning, retrieve patient information, and to interpret images. Eventually, these systems can replace manual involvement by providing virtual assistance for management of patient’s health, diagnostic purposes, and other tasks. The use of AI systems can help to reduce numerous human errors such as unstable hand movements during a surgery/drug delivery and to precisely measure the dosage of a pharmaceutical drug. In addition, these systems can also be used to operate on a person with minimal human supervision and monitor the health of a patient using different wearable devices. Moreover, they are used to analyze the medical records of a patient and predict disease onset.

Employment of technologically advanced products is highest in North America, owing to increase in adoption of these products and availability of capital investments to provide new ventures for the AI systems. Furthermore, rise in disposable income, growth in healthcare expenditure in the developing countries, such as China and India, and increase in adoption of AI systems contribute towards the growth of the Asia-Pacific AI market.

 

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