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
- ALL1298417
- 160 Pages
- July 2017
- Healthcare
The global Artificial intelligence in healthcare market was estimated to be $1,441 million in 2016 and is expected to reach $22,790 million by 2023 growing with a CAGR of 48.7% during the market forecast period of 2017 to 2023. Artificial intelligence (AI) is an intelligent system that applies various human intelligence-based functions such as reasoning, learning, and problem-solving skills on different streams such as biology, computer science, mathematics, linguistics, psychology and engineering. The use of AI is widely applicable in medication management, treatment plans and drug discovery. The demand drivers of the global AI in healthcare market are need to increase coordination between healthcare workforce & patients, the ability of AI to improve patient outcomes, increase in adoption of precision medicine and notable rise in venture capital investments. The rise in importance of big data in healthcare is anticipated to fuel the market growth of the global AI in healthcare market. Due to the adoption of AI systems the global market is anticipated to witness significant growth during the market forecast period. Technological advancements in AI systems are expected to provide significant boost to the global market. Prospective of AI-based tools for elderly care and the untapped potential of the developing markets such as China and India are expected to provide various opportunities for market expansion.
The global AI in healthcare market is segmented based on offering, algorithm, application, end-user and region. The global AI in healthcare market on the basis of offering is classified into hardware, software and services. The global AI in healthcare market on the basis of algorithm is segmented into deep learning, querying method, natural language processing and context aware processing. The global AI in healthcare market by application is bifurcated into robot-assisted surgery, virtual nursing system, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participation identifier, preliminary diagnosis and others. The global AI in healthcare market by end-user is categorized into healthcare provider, pharmaceutical & biotechnology companies, patient and payer. The global AI in healthcare market by region is divided into North America, Europe, Asia-Pacific and LAMEA. The software segment occupied the highest market share in 2016 due to the market trend of continuous software innovation that caters to the evolving requirement in the healthcare sector. The hardware segment is anticipated to witness the highest market growth during the market forecast period. The deep learning segment is anticipated to grow with highest CAGR during the market forecast period due to increase use of signal reduction, data mining and image recognition which are integral components of most AI protocols. North America accounted for the largest market share in the global AI in healthcare market in 2016 and is anticipated to retain its dominance throughout the market forecast period.
The key market players of the global AI in healthcare market are Welltok Inc, Intel Corporation, Nvidia Corporation, Google Inc, IBM Corporation, Microsoft Corporation, General Vision Inc, Enlitic, Inc, Next IT Corporation, iCarbonX, Shimadzu Recursion Pharmaceuticals Inc, Siemens Healthineers, General Electric (GE) Company, Koninklijke Philips N.V, Cloudmedx, Inc, and Bay Labs Inc.
Key Benefits for Stakeholders
- This report entails a detailed quantitative analysis of the current market trends from 2016 to 2023 to identify the prevailing opportunities.
- Market estimations are based on comprehensive analysis of the key developments in the industry.
- The global market is comprehensively analyzed with respect to offering, algorithm, application, end user, and region.
- In-depth analysis based on geography assists in understanding the regional market to assist in strategic business planning.
- The development strategies adopted by key manufacturers are enlisted to understand the competitive scenario of the market.
KEY MARKET SEGMENTS
- By Offering
- Hardware
- Software
- Service
- By Algorithm
- 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 Provider
- Pharmaceutical & Biotechnology Company
- Patient
- Payer
- By Region
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- France
- UK
- Italy
- Spain
- Russia
- Netherlands
- Sweden
- Rest of Europe
- Asia-Pacific
- Japan
- China
- Australia
- India
- Singapore
- Rest of Asia-Pacific
- LAMEA
- Brazil
- Turkey
- 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 FORCES ANALYSIS
3.4. REGULATION AND REIMBURSEMENT SCENARIO
3.5. MARKET DYNAMICS
3.5.1. Drivers
3.5.1.1. Increasing 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 TECHNOLOGY
5.1. OVERVIEW
5.1.1. Market size and forecast
5.2. DEEP LEARNING
5.2.1. Market size and forecast
5.3. QUERYING METHOD
5.3.1. Market size and forecast
5.4. NATURAL LANGUAGE PROCESSING
5.4.1. Market size and forecast
5.5. CONTEXT AWARE PROCESSING
5.5.1. Market size and forecast
CHAPTER 6 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION
6.1. OVERVIEW
6.1.1. Market size and forecast
6.2. ROBOT ASSISTED SURGERY
6.2.1. Market size and forecast
6.3. VIRTUAL NURSING ASSISTANTS
6.3.1. Market size and forecast
6.4. ADMINISTRATIVE WORKFLOW ASSISTANCE
6.4.1. Market size and forecast
6.5. FRAUD DETECTION
6.5.1. Market size and forecast
6.6. DOSAGE ERROR REDUCTION
6.6.1. Market size and forecast
6.7. CLINICAL TRIAL PARTICIPANT IDENTIFIER
6.7.1. Market size and forecast
6.8. PRELIMINARY DIAGNOSIS
6.8.1. Market size and forecast
6.9. OTHER APPLICATION
6.9.1. 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 AND 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. OVERVIEW
8.1.1. Market size and forecast
8.2. NORTH AMERICA
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. U.S. market size and forecast
8.2.3.2. Mexico market size and forecast
8.2.3.3. Canada market size and forecast
8.3. EUROPE
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. UK market size and forecast
8.3.3.2. France market size and forecast
8.3.3.3. Germany market size and forecast
8.3.3.4. Italy market size and forecast
8.3.3.5. Spain market size and forecast
8.3.3.6. Rest of Europe market size and forecast
8.4. ASIA-PACIFIC
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. Japan market size and forecast
8.4.3.2. China market size and forecast
8.4.3.3. Australia market size and forecast
8.4.3.4. India market size and forecast
8.4.3.5. South Korea market size and forecast
8.4.3.6. Taiwan market size and forecast
8.4.3.7. Rest of Asia-Pacific market size and forecast
8.5. LAMEA
8.5.1. Key market trends
8.5.2. Key growth factors and opportunities
8.5.3. Market size and forecast
8.5.3.1. Brazil market size and forecast
8.5.3.2. Turkey market size and forecast
8.5.3.3. Saudi Arabia market size and forecast
8.5.3.4. South Africa market size and forecast
8.5.3.5. Rest of LAMEA market size and forecast
CHAPTER 9 COMPANY PROFILES
9.1. WELLTOK, INC.
9.1.1. Company overview
9.1.2. Company snapshot
9.1.3. Operating business segments
9.1.4. Business performance
9.1.5. Key strategic moves and developments
9.2. INTEL CORPORATION
9.2.1. Company overview
9.2.2. Company snapshot
9.2.3. Operating business segments
9.2.4. Business performance
9.2.5. Key strategic moves and developments
9.3. NVIDIA CORPORATION
9.3.1. Company overview
9.3.2. Company snapshot
9.3.3. Operating business segments
9.3.4. Business performance
9.3.5. Key strategic moves and developments
9.4. GOOGLE INC.
9.4.1. Company overview
9.4.2. Company snapshot
9.4.3. Operating business segments
9.4.4. Business performance
9.4.5. Key strategic moves and developments
9.5. IBM CORPORATION
9.5.1. Company overview
9.5.2. Company snapshot
9.5.3. Operating business segments
9.5.4. Business performance
9.5.5. Key strategic moves and developments
9.6. MICROSOFT CORPORATION
9.6.1. Company overview
9.6.2. Company snapshot
9.6.3. Operating business segments
9.6.4. Business performance
9.6.5. Key strategic moves and developments
9.7. GENERAL VISION, INC.
9.7.1. Company overview
9.7.2. Company snapshot
9.7.3. Operating business segments
9.7.4. Business performance
9.7.5. Key strategic moves and developments
9.8. ENLITIC, INC.
9.8.1. Company overview
9.8.2. Company snapshot
9.8.3. Operating business segments
9.8.4. Business performance
9.8.5. Key strategic moves and developments
9.9. NEXT IT CORPORATION
9.9.1. Company overview
9.9.2. Company snapshot
9.9.3. Operating business segments
9.9.4. Business performance
9.9.5. Key strategic moves and developments
9.10. ICARBONX
9.10.1. Company overview
9.10.2. Company snapshot
9.10.3. Operating business segments
9.10.4. Business performance
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. GLOBAL HARDWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 3. GLOBAL SOFTWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 4. GLOBAL SERVICES ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET USING DEEP LEARNING, BY REGION, 2016-2023 ($MILLION)
TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET USING QUERYING METHOD, BY REGION, 2016-2023 ($MILLION)
TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE USING NATURAL LANGUAGE PROCESSING, BY REGION, 2016-2023 ($MILLION)
TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE USING CONTEXT AWARE PROCESSING, BY REGION, 2016-2023 ($MILLION)
TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY ROBOT ASSISTED SURGERY, BY REGION, 2016-2023 ($MILLION)
TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY VIRTUAL NURSING ASSISTANTS, BY REGION, 2016-2023 ($MILLION)
TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY ADMINISTRATIVE WORKFLOW ASSISTANCE, BY REGION, 2016-2023 ($MILLION)
TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY FRAUD DETECTION, BY REGION, 2016-2023 ($MILLION)
TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY DOSAGE ERROR REDUCTION, BY REGION, 2016-2023 ($MILLION)
TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY CLINICAL TRIAL PARTICIPANT IDENTIFIER, BY REGION, 2016-2023 ($MILLION)
TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY PRELIMINARY DIAGNOSIS, BY REGION, 2016-2023 ($MILLION)
TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY OTHER APPLICATION, BY REGION, 2016-2023 ($MILLION)
TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USERS, 2016-2023 ($MILLION)
TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY HEALTHCARE PROVIDERS, BY REGION, 2016-2023 ($MILLION)
TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY PHARMACEUTICALS AND BIOTECHNOLOGY COMPANIES, BY REGION, 2016-2023 ($MILLION)
TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY PATIENTS, BY REGION, 2016-2023 ($MILLION)
TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY PAYERS, BY REGION, 2016-2023 ($MILLION)
TABLE 24. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 25. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 26. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 27. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 28. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 29. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USERS, 2016-2023 ($MILLION)
TABLE 30. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 31. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 32. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 33. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 34. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USERS, 2016-2023 ($MILLION)
TABLE 35. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 36. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 37. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 38. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 39. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USERS, 2016-2023 ($MILLION)
TABLE 40. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 41. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 42. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 43. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 44. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USERS, 2016-2023 ($MILLION)
TABLE 45. WELLTOK: COMPANY SNAPSHOT
TABLE 46. WELLTOK: OPERATING SEGMENTS
TABLE 47. INTEL: COMPANY SNAPSHOT
TABLE 48. INTEL: OPERATING SEGMENTS
TABLE 49. NVIDIA: COMPANY SNAPSHOT
TABLE 50. NVIDIA: OPERATING SEGMENTS
TABLE 51. GOOGLE: COMPANY SNAPSHOT
TABLE 52. GOOGLE: OPERATING SEGMENTS
TABLE 53. IBM: COMPANY SNAPSHOT
TABLE 54. IBM: OPERATING SEGMENTS
TABLE 55. MICROSOFT: COMPANY SNAPSHOT
TABLE 56. MICROSOFT: OPERATING SEGMENTS
TABLE 57. GENERAL VISION: COMPANY SNAPSHOT
TABLE 58. GENERAL VISION: OPERATING SEGMENTS
TABLE 59. ENLITIC: COMPANY SNAPSHOT
TABLE 60. ENLITIC: OPERATING SEGMENTS
TABLE 61. NEXT IT: COMPANY SNAPSHOT
TABLE 62. NEXT IT: OPERATING SEGMENTS
TABLE 63. ICARBONX: COMPANY SNAPSHOT
TABLE 64. ICARBONX: OPERATING SEGMENTS
LIST OF FIGURES
FIGURE 1. SEGMENTATION OF GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET
FIGURE 2. TOP INVESTMENT POCKETS IN GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET
FIGURE 3. TOP WINNING STRATEGIES: PERCENTAGE DISTRIBUTION (2014-2017)
FIGURE 4. TOP WINNING STRATEGIES: NATURE AND TYPE
FIGURE 5. TOP WINNING STRATEGIES: NATURE AND COMPANY
FIGURE 6. BARGAINING POWER OF BUYERS
FIGURE 7. BARGAINING POWER OF SUPPLIERS
FIGURE 8. THREAT OF NEW ENTRANTS
FIGURE 9. THREAT OF SUBSTITUTION
FIGURE 10. COMPETITIVE RIVALRY
FIGURE 11. RESTRAINTS AND DRIVERS: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET
FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: SEGMENTATION BY OFFERING
FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: SEGMENTATION BY TECHNOLOGY
FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: SEGMENTATION BY APPLICATION
FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: SEGMENTATION BY END USER
FIGURE 16. U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 17. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 18. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 19. UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 20. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 21. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 22. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 23. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 24. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 25. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 26. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 27. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 28. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 29. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 30. TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 31. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 32. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 33. TURKEY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 34. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 35. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
FIGURE 36. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2016-2023 ($MILLION)
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