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, 2020-2027

Code: ALLI-Auto-4F189

Report

November 2019

160 Pages

Allied Market Research

Region: Global, North America,

Description

Table of Content

Tables & Figures

Artificial Intelligence in Healthcare Market Overview

The Artificial Intelligence (AI) in the healthcare market was valued at USD 4,836.87 Million in 2019 and is projected to reach USD 99,491.58 Million by 2027, registering a CAGR of 42.8% from 2020 to 2027.

Artificial intelligence assists the machines to perform any task without human interventions. It uses different algorithms and software that help the machine to inculcate perception and reasoning for various situations. AI is widely applicable in the healthcare sector for various purposes such as drug discovery and precision medicine. In addition, it is used to analyze a patient's medical data, to predict disease onset, and personalize treatment provided to the patient.

The AI 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 users, 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 growth is driven by rise in the adoption rate of AI systems and delete technological advancements in the AI field. In addition, the ability of these systems to improve patient outcomes, increase in adoption of precision medicine, and increase the need for coordination between healthcare workforce & patients are expected to fuel the market growth. However, lack of standard regulations and guidelines and reluctance among healthcare professionals to adopt AI-based technologies are expected to hinder the market growth.

KEY BENEFITS FOR STAKEHOLDERS

This report offers a detailed quantitative analysis of the current market trends from 2016 to 2023 to identify the prevailing opportunities.
The market estimations provided are based on comprehensive analysis of the key developments in the industry.
In-depth geographical analysis facilitates to analyze the regional market to assist in strategic business planning.
The developmental strategies adopted by key manufacturers are enlisted to understand the competitive scenario of the market

KEY PLAYERS

Welltok, Inc.
Intel Corporation
Nvidia Corporation
Google Inc.
IBM Corporation
Microsoft Corporation
General Vision, Inc.
Enlitic, Inc.
Next IT Corporation
iCarbonX

KEY MARKET 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 Provider
Pharmaceutical & Biotechnology Company
Patient
Payer

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
Turkey
Saudi Arabia
South Africa
Rest of LAMEA

The other players of the artificial intelligence in healthcare market include (companies not profiled in the report):

Shimadzu Recursion Pharmaceuticals, Inc.
Siemens Healthineers
General Electric (GE) Company
Koninklijke Philips N.V.
Cloudmedx, Inc.
Bay Labs, Inc.

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 development

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 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