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AI in Healthcare Market by Offering (Hardware, Software, and Services), Algorithm (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 Providers, Pharmaceutical & Biotechnology Companies, Patients, and Payer): Global Opportunity Analysis and Industry Forecast, 2019-2027

A02090
Pages: 301
Jun 2020 | 21581 Views
 
Author(s) : Kavita Joshi , Onkar Sumant
Tables: 152
Charts: 43
 

COVID-19

Pandemic disrupted the entire world and affected many industries.

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The AI in healthcare market was valued at $4,836.87million in 2019 and is projected to reach $99,491.58 million by 2027, registering a CAGR of 42.8% from 2020 to 2027. Artificial intelligence (AI) in healthcare is the use of complex algorithm and software to emulate human perception in analysis, interpretation, and comprehension of complex medical and healthcare data.AI is an intelligent system that relates various human intelligence-based functions such as reasoning, learning, and problem-solving services on different disciplines like biology, engineering, mathematics, computer science linguistics, and psychology. Moreover, integration of artificial intelligence (AI) and machine learning approaches within the healthcare industry makes drug discovery and development more innovative, time-effective, and cost-effective.

Though most of the markets are dropping down, COVID-19 outbreak has positively affected various healthcare related markets, one of them being AI in healthcare. At present, AI technologies are playing a crucial role to combat the pandemic. Though the use of AI in healthcare, is not a new notion, but its application in the COVID-19 outbreak situation has proven its prospects in the sector. The AI tools are rapidly being used to detect & diagnose the virus and retorting to the outbreak through personalized information and learning.

Growth of the global AI in healthcare market is majorly driven by increase in processing power of AI systems leading to enhanced AI capabilities and application of AI for novel surgeries. However, limited acceptance from healthcare professionals, owing to risk of injury and misinterpretation hinder the growth of the global AI in healthcare market. However, an imprecise regulatory scenario and reluctance among healthcare professionals to adopt AI-based technologies are expected to hamper the market growth.

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The AI in healthcare market is segmented on the basis of offering, algorithm, application, end user, and region. On the basis of offering, it is divided into hardware, software, and services. By algorithm, it is classified into deep learning, querying method, natural language processing, and context aware processing. The application segment includes robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. Depending on end user, the market is fragmented into healthcare providers, pharmaceutical &biotechnology companies, patients, and payers. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Offering Segment Review

By offering, the software segment occupied the highest share in 2019, in AI in healthcare market owing to continuous software innovations that cater to the requirements in the healthcare sector. An AI software is capable of learning things in real sense, and recognize patterns in digital representations of sounds, images, and other data. The hardware segment is projected to witness highest growth rate during the forecast period

AI in Healthcare Market
By Offering

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Software holds the dominant position in 2019 and would continue to maintain the lead over the forecast period.

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Algorithm Segment Review

By algorithm, natural language processing segment occupied the highest share in 2019, as it plays a vital role in decision-making process of healthcare professionals. As machine learning and deep learning capabilities of artificial intelligence achieve better clinical outcomes during diagnosis and surgical procedures, it is expected to grow at the highest CAGR during the forecast period.

AI in Healthcare Market
By Algorithm

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Deep Learning segment is projected as one of the most lucrative segments.

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Application Segment Review

By application, the robot-assisted surgery segment occupied the highest AI in healthcare market share in 2019, as it facilitates complex surgeries with more precision with the help of robotic systems. Robotic-assisted surgeries are related to minimally invasive surgery procedures, while they are sometimes utilized in traditional open surgical procedures. As virtual nursing assistant and administrative workflow assistance of artificial intelligence achieve better clinical outcomes during diagnosis and surgical procedure, it is expected to grow at the highest growth rate during the forecast period.

Region segment review

North America was the leading revenue contributor to the global AI in healthcare market in 2019, owing to various benefits related to the adoption of the AI market. For instance, it is estimated that key clinical applications of artificial intelligence in healthcare can create $150 billion in annual savings for the U.S. healthcare economy. Moreover, establishment of AI R&D facilities in the North America AI in healthcare market is a significant trend the region. The U.S. AI in healthcare market is expected to account for the major share of the total market, many companies opened a research facility in the U.S. and Canada to cater the growing needs of automation in healthcare, retail, and semiconductor industries.

AI in Healthcare Market
By Region

2027
North America 
Europe
Asia-pacific
Lamea

Asia-Pacific region would exhibit the highest CAGR of 48% during 2019-2026.

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Region wise, Asia-Pacific accounts for the highest CAGR in the global AI in healthcare market. This region offers lucrative opportunities to the market. Rise in incidence of various acute and chronic diseases in this region, presenting a major opportunity for AI providers to capitalize on high potential offered by the region. Moreover, demand for artificial intelligence in healthcare is on a continuous rise, owing to limited number of skilled healthcare professionals in developing countries such as China and India, especially in the rural regions. Remarkable developments in healthcare led by China and Japan to incorporate new technologies and develop healthcare settings majorly drive the Asia-Pacific AI in healthcare market growth.

Comprehensive competitive analysis and profiles of the major market players such as Alphabet Inc., Enlitic Inc, General Vision, iCarbonX, Intel Corporation, IBM Corporation, Microsoft Corporation, Nvidia Corporation, Next IT Corp and Welltok Inc.

Key Benefits For Stakeholders

  • This report entails a detailed quantitative analysis of the current AI in healthcare market trends and future estimations from 2019 to 2027 to identify the prevailing opportunities.

  • Market estimations are based on comprehensive analysis of the key developments in the industry.

  • The global AI in healthcare market is comprehensively analyzed with respect to offering, algorithm, application, end user, and region.

  • In-depth AI in healthcare market analysis based on region assists to understand 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 AI in healthcare market.

Key Market Segments

By Offering

  • Hardware
  • Software
  • Services

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 Providers
  • Pharmaceutical & Biotechnology Company
  • Patients
  • Payers

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • UK
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • Australia
    • Japan
    • India
    • China
    • South Korea
    • 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 for stakeholders
1.3.Key market segments
1.4.Research methodology

1.4.1.Secondary research
1.4.2.Primary research
1.4.3.Analyst tools and 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.Subsidy programs and funding
3.4.Porter’s five forces analysis
3.5.Regulations and reimbursement scenario
3.6.Market dynamics

3.6.1.Drivers

3.6.1.1.Increase in processing power of AI systems leading to enhanced AI capabilities
3.6.1.2.Dearth of skilled healthcare professionals
3.6.1.3.Application of AI for novel surgeries and screening

3.6.2.Restraints

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

3.6.3.Opportunities

3.6.3.1.Untapped market in developing regions

3.7.Impact of Covid-19 on the market

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 and opportunities
4.2.2.Market size and forecast
4.2.3.Market analysis, by country

4.3.Software

4.3.1.Key market trends and opportunities
4.3.2.Market size and forecast
4.3.3.Market analysis, by country

4.4.Services

4.4.1.Key market trends and opportunities
4.4.2.Market size and forecast
4.4.3.Market analysis, by country

CHAPTER 5:ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHM

5.1.Overview

5.1.1.Market size and forecast

5.2.Deep learning

5.2.1.Market size and forecast
5.2.2.Market analysis, by country

5.3.Querying method

5.3.1.Market size and forecast
5.3.2.Market analysis, by country

5.4.Natural language processing

5.4.1.Market size and forecast
5.4.2.Market analysis, by country

5.5.Context aware processing

5.5.1.Market size and forecast
5.5.2.Market analysis, by country

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
6.2.2.Market analysis, by country

6.3.Virtual nursing assistant

6.3.1.Market size and forecast
6.3.2.Market analysis, by country

6.4.Administrative workflow assistance

6.4.1.Market size and forecast
6.4.2.Market analysis, by country

6.5.Fraud detection

6.5.1.Market size and forecast
6.5.2.Market analysis, by country

6.6.Dosage error reduction

6.6.1.Market size and forecast
6.6.2.Market analysis, by country

6.7.Clinical trial participant identifier

6.7.1.Market size and forecast
6.7.2.Market analysis, by country

6.8.Preliminary diagnosis

6.8.1.Market size and forecast
6.8.2.Market analysis, by country

6.9.Others

6.9.1.Market size and forecast
6.9.2.Market analysis, by country

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
7.2.2.Market analysis, by country

7.3.Pharmaceuticals & biotechnology companies

7.3.1.Market size and forecast
7.3.2.Market analysis, by country

7.4.Patients

7.4.1.Market size and forecast
7.4.2.Market analysis, by country

7.5.Payer

7.5.1.Market size and forecast
7.5.2.Market analysis, by country

CHAPTER 8:ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION

8.1.Overview

8.1.1.Market size and forecast

8.2.North America

8.2.1.Key market trends and opportunities
8.2.2.Market size and forecast, by offering
8.2.3.Market size and forecast, by algorithms
8.2.4.Market size and forecast, by application
8.2.5.Market size and forecast, by end user
8.2.6.Market size and forecast, by country

8.2.6.1.U.S. Market size and forecast, by offering
8.2.6.2.U.S. Market size and forecast, by algorithms
8.2.6.3.U.S. Market size and forecast, by application
8.2.6.4.U.S. Market size and forecast, by end user
8.2.6.5.Canada Market size and forecast, by offering
8.2.6.6.Canada Market size and forecast, by algorithms
8.2.6.7.Canada Market size and forecast, by application
8.2.6.8.Canada Market size and forecast, by end user
8.2.6.9.Mexico Market size and forecast, by offering
8.2.6.10.Mexico Market size and forecast, by algorithms
8.2.6.11.Mexico Market size and forecast, by application
8.2.6.12.Mexico Market size and forecast, by end user

8.3.Europe

8.3.1.Key market trends and opportunities
8.3.2.Market size and forecast, by offering
8.3.3.Market size and forecast, by algorithms
8.3.4.Market size and forecast, by application
8.3.5.Market size and forecast, by end user
8.3.6.Market size and forecast, by country

8.3.6.1.Germany Market size and forecast, by offering
8.3.6.2.Germany Market size and forecast, by algorithms
8.3.6.3.Germany Market size and forecast, by application
8.3.6.4.Germany Market size and forecast, by end user
8.3.6.5.France Market size and forecast, by offering
8.3.6.6.France Market size and forecast, by algorithms
8.3.6.7.France Market size and forecast, by application
8.3.6.8.France Market size and forecast, by end user
8.3.6.9.UK Market size and forecast, by offering
8.3.6.10.UK Market size and forecast, by algorithms
8.3.6.11.UK Market size and forecast, by application
8.3.6.12.UK Market size and forecast, by end user
8.3.6.13.Italy Market size and forecast, by offering
8.3.6.14.Italy Market size and forecast, by algorithms
8.3.6.15.Italy Market size and forecast, by application
8.3.6.16.Italy Market size and forecast, by end user
8.3.6.17.Spain Market size and forecast, by offering
8.3.6.18.Spain Market size and forecast, by algorithms
8.3.6.19.Spain Market size and forecast, by application
8.3.6.20.Spain Market size and forecast, by end user
8.3.6.21.Rest of Europe Market size and forecast, by offering
8.3.6.22.Rest of Europe Market size and forecast, by algorithms
8.3.6.23.Rest of Europe Market size and forecast, by application
8.3.6.24.Rest of Europe Market size and forecast, by end user

8.4.Asia-Pacific

8.4.1.Key market trends and opportunities
8.4.2.Market size and forecast, by offering
8.4.3.Market size and forecast, by algorithms
8.4.4.Market size and forecast, by application
8.4.5.Market size and forecast, by end user
8.4.6.Market size and forecast, by country

8.4.6.1.Japan Market size and forecast, by offering
8.4.6.2.Japan Market size and forecast, by algorithms
8.4.6.3.Japan Market size and forecast, by application
8.4.6.4.Japan Market size and forecast, by end user
8.4.6.5.China Market size and forecast, by offering
8.4.6.6.China Market size and forecast, by algorithms
8.4.6.7.China Market size and forecast, by application
8.4.6.8.China Market size and forecast, by end user
8.4.6.9.Australia Market size and forecast, by offering
8.4.6.10.Australia Market size and forecast, by algorithms
8.4.6.11.Australia Market size and forecast, by application
8.4.6.12.Australia Market size and forecast, by end user
8.4.6.13.India Market size and forecast, by offering
8.4.6.14.India Market size and forecast, by algorithms
8.4.6.15.India Market size and forecast, by application
8.4.6.16.India Market size and forecast, by end user
8.4.6.17.South Korea Market size and forecast, by offering
8.4.6.18.South Korea Market size and forecast, by algorithms
8.4.6.19.South Korea Market size and forecast, by application
8.4.6.20.South Korea Market size and forecast, by end user
8.4.6.21.Taiwan Market size and forecast, by offering
8.4.6.22.Taiwan Market size and forecast, by algorithms
8.4.6.23.Taiwan Market size and forecast, by application
8.4.6.24.Taiwan Market size and forecast, by end user
8.4.6.25.Rest of Asia-Pacific Market size and forecast, by offering
8.4.6.26.Rest of Asia-Pacific Market size and forecast, by algorithms
8.4.6.27.Rest of Asia-Pacific Market size and forecast, by application
8.4.6.28.Rest of Asia-Pacific Market size and forecast, by end user

8.5.LAMEA

8.5.1.Key market trends and opportunities
8.5.2.Market size and forecast, by offering
8.5.3.Market size and forecast, by algorithms
8.5.4.Market size and forecast, by application
8.5.5.Market size and forecast, by end user
8.5.6.Market size and forecast, by country

8.5.6.1.Brazil Market size and forecast, by offering
8.5.6.2.Brazil Market size and forecast, by algorithms
8.5.6.3.Brazil Market size and forecast, by application
8.5.6.4.Brazil Market size and forecast, by end user
8.5.6.5.Saudi Arabia Market size and forecast, by offering
8.5.6.6.Saudi Arabia Market size and forecast, by algorithms
8.5.6.7.Saudi Arabia Market size and forecast, by application
8.5.6.8.Saudi Arabia Market size and forecast, by end user
8.5.6.9.South Africa Market size and forecast, by offering
8.5.6.10.South Africa Market size and forecast, by algorithms
8.5.6.11.South Africa Market size and forecast, by application
8.5.6.12.South Africa Market size and forecast, by end user
8.5.6.13.Rest of LAMEA Market size and forecast, by offering
8.5.6.14.Rest of LAMEA Market size and forecast, by algorithms
8.5.6.15.Rest of LAMEA Market size and forecast, by application
8.5.6.16.Rest of LAMEA Market size and forecast, by end user

CHAPTER 9:COMPANY PROFILES

9.1.Alphabet Inc. (Google Inc.)

9.1.1.Company overview
9.1.1.Company snapshot
9.1.2.Operating business segments
9.1.3.Product portfolio
9.1.4.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
9.5.6.Key strategic moves and developments

9.6.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
9.8.6.Key strategic moves and developments

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 TABLE

STABLE 01.GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 02.HARDWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2019–2027 ($MILLION)
TABLE 03.SOFTWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2019–2027 ($MILLION)
TABLE 04.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, FOR SERVICES, BY REGION, 2019–2027 ($MILLION)
TABLE 05.GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 06.DEEP LEARNING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2019–2027 ($MILLION)
TABLE 07.QUERYING METHOD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2019–2027 ($MILLION)
TABLE 08.NATURAL LANGUAGE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2019–2027 ($MILLION)
TABLE 09.CONTEXT AWARE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2019–2027 ($MILLION)
TABLE 10.GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 11.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ROBOT-ASSISTED SURGERY, BY REGION, 2019–2027 ($MILLION)
TABLE 12.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR VIRTUAL NURSING ASSISTANT, BY REGION, 2019–2027 ($MILLION)
TABLE 13.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ADMINISTRATIVE WORKFLOW ASSISTANCE, BY REGION, 2019–2027 ($MILLION)
TABLE 14.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR FRAUD DETECTION, BY REGION, 2019–2027 ($MILLION)
TABLE 15.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR DOSAGE ERROR REDUCTION, BY REGION, 2019–2027 ($MILLION)
TABLE 16.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR CLINICAL TRIAL PARTICIPANT IDENTIFIER, BY REGION, 2019–2027 ($MILLION)
TABLE 17.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PRELIMINARY DIAGNOSIS, BY REGION, 2019–2027 ($MILLION)
TABLE 18.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR OTHERS, BY REGION, 2019–2027 ($MILLION)
TABLE 19.GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 20.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR HEALTHCARE PROVIDERS, BY REGION, 2019–2027 ($MILLION)
TABLE 21.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY REGION,  2019–2027 ($MILLION)
TABLE 22.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PATIENTS, BY REGION, 2019–2027 ($MILLION)
TABLE 23.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PAYER, BY REGION, 2019–2027 ($MILLION)
TABLE 24.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2019–2027 ($MILLION)
TABLE 25.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 26.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 27.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 28.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 29.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2019–2027 ($MILLION)
TABLE 30.U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 31.U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 32.U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 33.U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 34.CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 35.CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 36.CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 37.CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 38.MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 39.MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 40.MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 41.MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 42.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 43.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 44.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 45.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 46.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2019–2027 ($MILLION)
TABLE 47.GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 48.GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 49.GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 50.GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 51.FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 52.FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 53.FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 54.FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 55.UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 56.UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 57.UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 58.UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 59.ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 60.ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 61.ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 62.ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 63.SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 64.SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 65.SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 66.SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 67.REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 68.REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 69.REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 70.REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 71.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 72.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 73.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 74.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 75.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2019–2027 ($MILLION)
TABLE 76.JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 77.JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 78.JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 79.JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 80.CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 81.CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 82.CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 83.CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 84.AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 85.AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 86.AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 87.AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 88.INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 89.INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 90.INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 91.INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 92.SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 93.SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 94.SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 95.SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 96.TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 97.TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 98.TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 99.TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 100.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 101.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 102.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 103.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 104.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 105.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 106.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 107.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 108.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2019–2027 ($MILLION)
TABLE 109.BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 110.BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 111.BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 112.BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 113.SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 114.SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 115.SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 116.SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 117.SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 118.SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 119.SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 120.SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 121.REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2019–2027 ($MILLION)
TABLE 122.REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 123.REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 124.REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)
TABLE 125.ALPHABET INC.: COMPANY SNAPSHOT
TABLE 126.ALPHABET INC.: OPERATING SEGMENTS
TABLE 127.ALPHABET INC.: PRODUCT PORTFOLIO
TABLE 128.ENLITIC: COMPANY SNAPSHOT
TABLE 129.ENLITIC: PRODUCT PORTFOLIO
TABLE 130.GENERAL VISION: COMPANY SNAPSHOT
TABLE 131.GENERAL VISION: THREE TECHNOLOGIES
TABLE 132.GENERAL VISION: PRODUCT PORTFOLIO
TABLE 133.ICARBONX: COMPANY SNAPSHOT
TABLE 134.ICARBONX: PRODUCT PORTFOLIO
TABLE 135.INTEL CORPORATION: COMPANY SNAPSHOT
TABLE 136.INTEL CORPORATION: OPERATING SEGMENTS
TABLE 137.INTEL CORPORATION: PRODUCT PORTFOLIO
TABLE 138.IBM CORPORATION: COMPANY SNAPSHOT
TABLE 139.IBM: OPERATING SEGMENTS
TABLE 140.IBM: PRODUCT PORTFOLIO
TABLE 141.MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 142.MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 143.MICROSOFT: PRODUCT PORTFOLIO
TABLE 144.NVIDIA: COMPANY SNAPSHOT
TABLE 145.NVIDIA: OPERATING SEGMENTS
TABLE 146.NVIDIA: PRODUCT PORTFOLIO
TABLE 147.NEXT IT: COMPANY SNAPSHOT
TABLE 148.NEXT IT: PRODUCT CATEGORIES
TABLE 149.NEXT IT: PRODUCT PORTFOLIO
TABLE 150.WELLTOK: COMPANY SNAPSHOT
TABLE 151.WELLTOK: PRODUCT CATEGORIES
TABLE 152.WELLTOK: PRODUCT PORTFOLIO

LIST OF FIGURES

FIGURE 01.TOP INVESTMENT POCKETS
FIGURE 02.TOP WINNING STRATEGIES, BY YEAR, 2017–2020*
FIGURE 03.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2017–2020* (%)
FIGURE 04.TOP WINNING STRATEGIES, BY COMPANY, 2017–2020*
FIGURE 05.MODERATE BARGAINING POWER OF BUYERS
FIGURE 06.HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 07.HIGH THREAT OF NEW ENTRANTS
FIGURE 08.LOW THREAT OF SUBSTITUTION
FIGURE 09.HIGH COMPETITIVE RIVALRY
FIGURE 10.COMPARATIVE SHARE ANALYSIS OF HARDWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2019 & 2027 (%)
FIGURE 11.COMPARATIVE SHARE ANALYSIS OF SOFTWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2019 & 2027 (%)
FIGURE 12.COMPARATIVE SHARE ANALYSIS OF SERVICES ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2019 & 2027 (%)
FIGURE 13.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2019 & 2027 (%)
FIGURE 14.COMPARATIVE SHARE ANALYSIS OF QUERYING METHOD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2019 & 2027 (%)
FIGURE 15.COMPARATIVE SHARE ANALYSIS OF NATURAL LANGUAGE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2019 & 2027 (%)
FIGURE 16.COMPARATIVE SHARE ANALYSIS OF CONTEXT AWARE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2019 & 2027 (%)
FIGURE 17.OMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ROBOT-ASSISTED SURGERY, BY COUNTRY, 2019 & 2027 (%)
FIGURE 18.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR VIRTUAL NURSING ASSISTANT, BY COUNTRY, 2019 & 2027 (%)
FIGURE 19.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ADMINISTRATIVE WORKFLOW ASSISTANCE, BY COUNTRY, 2019 & 2027 (%)
FIGURE 20.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR FRAUD DETECTION, BY COUNTRY, 2019 & 2027 (%)
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR DOSAGE ERROR REDUCTION, BY COUNTRY, 2019 & 2027 (%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR CLINICAL TRIAL PARTICIPANT IDENTIFIER, BY COUNTRY, 2019 & 2027 (%)
FIGURE 23.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PRELIMINARY DIAGNOSIS, BY COUNTRY, 2019 & 2027 (%)
FIGURE 24.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR OTHERS, BY COUNTRY, 2019 & 2027 (%)
FIGURE 25.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR HEALTHCARE PROVIDERS, BY COUNTRY, 2019 & 2027 (%)
FIGURE 26.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY COUNTRY, 2019 & 2027 (%)
FIGURE 27.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PATIENTS, BY COUNTRY, 2019 & 2027 (%)
FIGURE 28.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY PAYER, BY COUNTRY, 2019 & 2027 (%)
FIGURE 29.ALPHABET INC.: REVENUE, 20187–2019 ($MILLION)
FIGURE 30.ALPHABET INC.: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 31.ALPHABET INC.: REVENUE SHARE BY GEOGRAPHY, 2019 (%)
FIGURE 32.INTEL CORPORATION: REVENUE, 2017–2019 ($MILLION)
FIGURE 33.INTEL CORPORATION: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 34.INTEL CORPORATION: REVENUE SHARE BY GEOGRAPHY, 2019 (%)
FIGURE 35.IBM: REVENUE, 2017–2019 ($MILLION)
FIGURE 36.IBM: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 37.IBM: REVENUE SHARE BY GEOGRAPHY, 2019 (%)
FIGURE 38.MICROSOFT CORPORATION: REVENUE, 2017–2019 ($MILLION)
FIGURE 39.MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 40.MICROSOFT CORPORATION: REVENUE SHARE BY GEOGRAPHY, 2019 (%)
FIGURE 41.NVIDIA: REVENUE, 2018–2020 ($MILLION)
FIGURE 42.NVIDIA: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 43.NVIDIA: REVENUE SHARE BY GEOGRAPHY, 2020 (%)

 
 

In accordance to several interviews conducted, the AI in healthcare market is expected to witness a significant growth in the future, owing to benefits of AI such as ease of use, automated nature, and reduction in possibility of human error. AI in healthcare market is witnessing intense competition, owing to presence of well-established players. Moreover, high adoption of this algorithm propels the market growth, as it is replacing skilled healthcare professionals in the healthcare sector. In addition, technological advancements prevalent in the market and increase in R&D activities for AI in healthcare are expected to boost the market growth. Analysis reports that the use of AI in healthcare is highest in the North American region, owing to high adoption rate and rise in funding for technological advancements.

The demand for artificial systems (AI) is increasing exponentially, as these systems can complete ordinary tasks without human intervention. With the advancement in reasoning power, the perception and reasoning power of AI systems can be enhanced, which in turn helps the system perform any repetitive functions efficiently. Different technologies such as natural language processing and deep learning are used in AI systems to improve their efficiency in the healthcare market. Currently the AI systems in healthcare segment are frequently used for therapy planning, retrieve patient information, and to interpret images. With the use of advanced algorithm, AI systems can replace humans by providing virtual assistance, manage patient health, and diagnose diseases & disorders. The use of AI systems reduces human errors in many tasks such as shivering hands during a surgery and to precisely measure the dosage of a pharmaceutical drug. In addition, these systems can be used to remotely operate on a person 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 the risks of any disease.
 

 

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FREQUENTLY ASKED QUESTIONS?
 

A. The total value of Global AI in Healthcare market was $4,836.87 million in 2019.

A. The forecast period in the report is from 2020-2027.

A. The market value of Global AI in Healthcare market in 2020 was $8,222.83 million.

A. The base year calculated is 2019 in the report.

A. As per the key industry leaders, AI in Healthcare market will flourish with a high pace in the near future. The COVID-19 has increased the demand of AI in healthcare.

A. Surge in technological advancements in the artificial intelliegence software.

A. The growth % of the emerging economies such as India, China, Australia is 49.4%, 50.4%, 46.6% respectively.

A. Software segment holds the maximum market share.

A. No, the report provide the value chain analysis.

A. North America market holds the maximum market share of the around 44% market.

 

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