Allied Market Research
Loading...
0
New
New
2021
Ai In Healthcare Market

AI in Healthcare Market by Offering (Software, Hardware, & 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, 2021––2030

A02090
Pages: 286
Aug 2021 | 28950 Views
   
Author(s) : Vishal Bhardwaj, Vikita , Onkar Sumant
Tables: 152
Charts: 31
  • Formats*:

  • SIngle User License, Five User
    License & Enterprise User License

  • Data Pack Excel License

  • IComes with the additional cost
    of $2500.00 contact sales.

 

COVID-19

Pandemic disrupted the entire world and affected many industries.

Get detailed COVID-19 impact analysis on the Ai In Healthcare Market

Request Now !

The AI in healthcare market was valued at $8.23 billion in 2020, and is projected to reach $194.4 billion by 2030, growing at a CAGR of 38.1% from 2021 to 2030.

The impact of the COVID-19 pandemic 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, 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 retort to the outbreak through personalized information and learning.

Artificial intelligence is defined as an intelligent system that applies various human intelligence-based functions such as reasoning, learning, and problem-solving skills in different disciplines such as biology, computer science, mathematics, linguistics, psychology, and engineering. Artificial intelligence in healthcare makes use of algorithms and software to analyze complex medical data.

Artifical-Intelligence-(AI)-in-Healthcare-Market, 2020-2030

Get more information on this report : Request Sample Pages

Artificial intelligence is used within the healthcare sector to research the connection between treatment techniques and patient outcomes. AI in healthcare has various applications in medication management, treatment plans, and drug discovery. It is used in medical practices such as diagnostic processes, personalized medicines, drug development, and patient monitoring care.

The growth of the artificial intelligence healthcare market is majorly driven by increase in volume of healthcare data and rise in complexities of datasets driving the necessity for AI in healthcare in the market. In addition, improvements in the computing power and decline in hardware costs, surge in number of cross-industry partnerships, collaborations, and rise in imbalance between the health workforce and patients drive the necessity for improvised healthcare services. 

For instance, in August 2017, Penn Medicine developed a predictive solution using machine learning where the system analyzes an individual's vital signs and helps to predict the risk of developing sepsis and detects the possibility of heart failure. 

Furthermore, the emergence of advanced hardware systems that would help to improve the efficiency and effectiveness of the AI software is expected to boost the market growth for hardware segment. For instance, in 2016, Nvidia introduced graphics processing units that improved the efficiency of using deep learning, and was 20–50 times more efficient than central processing units Another major factor fueling the market growth currently is the adoption of AI in healthcare by multiple pharmaceutical and biotechnology companies across the planet to expedite vaccine or drug development processes for COVID-19.

However, limited acceptance from healthcare professionals, owing to the risk of injury and misinterpretation is expected to hamper the growth of the global artificial intelligence in healthcare market.

Ai Healthcare Market Segmentation

The AI in healthcare market is segmented on the basis of offering, algorithm, application, end user, and region. By offering, the market is divided into hardware, software, and services. By algorithm, it is classified into deep learning, querying method, natural language processing, and context aware processing. By application, it is fragmented into robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. By end user, it is categorized 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 artificial intelligence in healthcare market is divided into hardware, software, and services. The software segment was the major revenue contributor in 2020 and is anticipated to remain dominant during the forecast period. Owing to continuous software innovation that caters to the requirement in the healthcare sector. The hardware segment is projected to witness the highest growth rate with a CAGR of 39.5% during the forecast period. Owing to Increase in need for AI hardware systems is anticipated to further provide opportunities for the players to develop in the market.

AI in Healthcare Market
By Offering

Your browser does not support the canvas element.

Software segment holds a dominant position in 2020 and would continue to maintain the lead over the forecast period.

Get more information on this report : Request Sample Pages

Algorithm Segment Review

By algorithm, the AI in healthcare market is classified into deep learning, querying method, natural language processing, and context aware processing. The natural language processing segment is projected to grow at a CAGR of 36.9% during the forecast period, owing to an increase in the use of signal reduction, data mining, and image recognition, which are integral components of most AI protocols.

AI in Healthcare Market
By Algorithms

Your browser does not support the canvas element.

Natural Language Processing Segment hold the dominant position and would continue to maintain the lead over the forecast period.

Get more information on this report : Request Sample Pages

Application Segment Review

By application, the AI in healthcare market is classified into robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. The robot-assisted surgery segment accounted for the highest share in 2020, generating $2.42 billion, and is expected to reach & $50.98 billion by 2030, growing at an estimated CAGR of 36.6%, owing to an upsurge in demand for minimally invasive surgeries where AI-assisted technologies are being widely used. The dosage error reduction segment is expected to witness the highest CAGR of 40.0%.

AI in Healthcare Market
By Application

Your browser does not support the canvas element.

Robot Assisted Surgery holds a dominant position in 2020 and continue to maintain lead in the forecast year

Get more information on this report : Request Sample Pages

End User Segment Review

By end user, the AI in healthcare market is divided into healthcare providers, pharmaceutical & biotechnology companies, patients, and payers. The healthcare providers segment dominates the end-user segment, and is expected to grow at a CAGR of 37.2% during the forecast period. An increase in usage & applications of AI systems to improve patient outcomes and maintain EHR & patient records are expected to boost the market growth.

AI in Healthcare Market
By End User

Your browser does not support the canvas element.

Healthcare Providers segements holds a dominant position in 2020 and continue to maintain lead in the forecast year

Get more information on this report : Request Sample Pages

Region Segment Review

North America was the largest shareholder in the artificial intelligence in healthcare market in 2020, owing to its well-established healthcare infrastructure, and supportive government regulations for product type commercialization are the major factors driving the growth of AI in healthcare market. However, Asia-Pacific is anticipated to register the highest CAGR of 44.5% during the forecast period, owing to rise in adoption of healthcare IT solutions, increase in funding for the development of AI capabilities, and major players are collaborating with universities and research centers for the development of advanced AI algorithms that could be used in the healthcare industry. For instance, Microsoft Corporation collaborated with the University of Pittsburgh Medical Center to introduce virtual AI assistant in February 2018. 

AI in Healthcare Market
By Region

2030
North America 
Europe
Asia-pacific
Lamea

Asia Pacific region would exhibit the highest CAGR of 44.5% during 2020-2030

Get more information on this report : Request Sample Pages

Key players operating in the global artificial intelligence in healthcare market include Welltok, Inc., Intel Corporation, Nvidia Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Inc., Enlitic, Inc., Next IT Corporation, and iCarbonX.

Key Benefits For Stakeholders

  • The study provides an in-depth analysis of the AI in healthcare market, and the current trends and future estimations to elucidate imminent investment pockets.
  • It presents a quantitative analysis of the market from 2021 to 2030 to enable stakeholders to capitalize on the prevailing market opportunities.
  • Extensive analysis of the market based on procedures and services assists to understand the trends in the industry.
  • Key players and their strategies are thoroughly analyzed to understand the competitive outlook of the market.

Key Market Segments

By Offering

  • Hardware
  • Software
  • Services

By Algorithms

  • 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
    • Japan
    • China
    • India
    • Australia
    • Rest of Asia-Pacific
  • LAMEA
    • Brazil 
    • South Africa
    • Saudi Arabia 
    • Rest of LAMEA

Key Market Players 

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

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
3.2.3.Top Player Positioning

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

3.6.4.Impact analysis

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 country
8.2.3.Market size and forecast, by offering
8.2.4.Market size and forecast, by algorithms
8.2.5.Market size and forecast, by application
8.2.6.Market size and forecast, by end user
8.2.8.U.S.

8.2.8.1.U.S. Market size and forecast, by offering
8.2.8.2.U.S. Market size and forecast, by algorithms
8.2.8.3.U.S. Market size and forecast, by application
8.2.8.4.U.S. Market size and forecast, by end user

8.2.9.Canada

8.2.9.1.Canada Market size and forecast, by offering
8.2.9.2.Canada Market size and forecast, by algorithms
8.2.9.3.Canada Market size and forecast, by application
8.2.9.4.Canada Market size and forecast, by end user
8.2.9.5.Mexico Market size and forecast, by offering
8.2.9.6.Mexico Market size and forecast, by algorithms
8.2.9.7.Mexico Market size and forecast, by application
8.2.9.8.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 country
8.3.3.Market size and forecast, by offering
8.3.4.Market size and forecast, by algorithms
8.3.5.Market size and forecast, by application
8.3.6.Market size and forecast, by end user

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

9.5.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 TABLES

TABLE 01.GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 20202–2030 ($MILLION)
TABLE 02.HARDWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2030 ($MILLION)
TABLE 03.SOFTWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2030 ($MILLION)
TABLE 04.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, FOR SERVICES, BY REGION, 2020–2030 ($MILLION)
TABLE 05.GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030($MILLION)
TABLE 06.DEEP LEARNING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2030 ($MILLION)
TABLE 07.QUERYING METHOD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020-2030($MILLION)
TABLE 08.NATURAL LANGUAGE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2030 ($MILLION)
TABLE 09.CONTEXT AWARE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2030 ($MILLION)
TABLE 10.GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 11.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ROBOT-ASSISTED SURGERY, BY REGION, 2020–2030 ($MILLION)
TABLE 12.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR VIRTUAL NURSING ASSISTANT, BY REGION, 2020–2030 ($MILLION)
TABLE 13.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ADMINISTRATIVE WORKFLOW ASSISTANCE, BY REGION, 2020–2030 ($MILLION)
TABLE 14.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR FRAUD DETECTION, BY REGION, 2020–2030 ($MILLION)
TABLE 15.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR DOSAGE ERROR REDUCTION, BY REGION, 2020–2030 ($MILLION)
TABLE 16.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR CLINICAL TRIAL PARTICIPANT IDENTIFIER, BY REGION, 2020–2030 ($MILLION)
TABLE 17.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PRELIMINARY DIAGNOSIS, BY REGION, 2020–2030 ($MILLION)
TABLE 18.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR OTHERS, BY REGION, 2020–2030 ($MILLION)
TABLE 19.GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 20.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR HEALTHCARE PROVIDERS, BY REGION, 2020–2030 ($MILLION)
TABLE 21.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY REGION, 2020–2030 ($MILLION)
TABLE 22.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PATIENTS, BY REGION, 2020–2030 ($MILLION)
TABLE 23.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PAYER, BY REGION, 2020–2030 ($MILLION)
TABLE 24.ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2020–2030 ($MILLION)
TABLE 25.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020–2030 ($MILLION)
TABLE 26.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 27.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 28.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 29.NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 30.U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 31.U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 32.U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 33.U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION
TABLE 34.CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 35.CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 36.CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 37.CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 38.MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 39.MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 40.MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 41.MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 42.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020–2030 ($MILLION)
TABLE 43.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 44.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 45.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 46.EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 47.GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 48.GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 49.GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 50.GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 51.FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 52.FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 53.FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 54.FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 55.UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 56.UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 57.UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 58.UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 59.ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 60.ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 61.ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 62.ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 63.SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 64.SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 65.SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 66.SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 67.REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 68.REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 69.REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 70.REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 71.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 72.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2039 ($MILLION)
TABLE 73.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030($MILLION)
TABLE 74.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 75.ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020–2030($MILLION)
TABLE 76.JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 77.JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 78.JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 79.JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 80.CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 81.CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 82.CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 83.CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030($MILLION)
TABLE 84.AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 85.AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 86.AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 87.AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 88.INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 89.INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 90.INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 91.INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 92.SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 93.SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2019–2027 ($MILLION)
TABLE 94.SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030($MILLION)
TABLE 95.SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030($MILLION)
TABLE 96.TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 97.TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 98.TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 99.TAIWAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 100.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 101.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 102.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 103.REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 104.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 105.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 106.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 107.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 108.LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020–2030 ($MILLION)
TABLE 109.BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 110.BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 111.BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2019–2027 ($MILLION)
TABLE 112.BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 113.SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 114.SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 115.SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 116.SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 117.SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 118.SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 119.SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 120.SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2020–2030 ($MILLION)
TABLE 121.REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2020–2030 ($MILLION)
TABLE 122.REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ALGORITHMS, 2020–2030 ($MILLION)
TABLE 123.REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2020–2030 ($MILLION)
TABLE 124.REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2019–2027 ($MILLION)

LIST OF FIGURES

FIGURE 01.AI IN HEALTHCARE MARKET SEGMENTATION
FIGURE 02.TOP INVESTMENT POCKETS
FIGURE 03.TOP WINNING STRATEGIES, BY YEAR, 2020*
FIGURE 04.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2020* (%)
FIGURE 05.TOP WINNING STRATEGIES, BY COMPANY, 2020*
FIGURE 06.TOP PLAYER POSITIONING, 2020
FIGURE 07.MODERATE BARGAINING POWER OF BUYERS
FIGURE 08.MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 09.HIGH THREAT OF NEW ENTRANTS
FIGURE 10.LOW THREAT OF SUBSTITUTION
FIGURE 11.HIGH COMPETITIVE RIVALRY
FIGURE 12.IMPACT ANALYSIS
FIGURE 13.COMPARATIVE SHARE ANALYSIS OF HARDWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
FIGURE 14.COMPARATIVE SHARE ANALYSIS OF SOFTWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
FIGURE 15.COMPARATIVE SHARE ANALYSIS OF SERVICES ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
FIGURE 16.COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
FIGURE 17.COMPARATIVE SHARE ANALYSIS OF QUERYING METHOD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
FIGURE 18.COMPARATIVE SHARE ANALYSIS OF NATURAL LANGUAGE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
FIGURE 19.COMPARATIVE SHARE ANALYSIS OF CONTEXT AWARE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2020 & 2030 (%)
FIGURE 20.OMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ROBOT-ASSISTED SURGERY, BY COUNTRY, 2020 & 2030 (%)
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR VIRTUAL NURSING ASSISTANT, BY COUNTRY, 2020 & 2030 (%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ADMINISTRATIVE WORKFLOW ASSISTANCE, BY COUNTRY, 2020 & 2030 (%)
FIGURE 23.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR FRAUD DETECTION, BY COUNTRY, 2020 & 2030 (%)
FIGURE 24.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR DOSAGE ERROR REDUCTION, BY COUNTRY, 2020 & 2030 (%)
FIGURE 25.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR CLINICAL TRIAL PARTICIPANT IDENTIFIER, BY COUNTRY, 2020 & 2030 (%)101
FIGURE 26.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PRELIMINARY DIAGNOSIS, BY COUNTRY, 2020& 2030 (%)
FIGURE 27.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 28.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR HEALTHCARE PROVIDERS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 29.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY COUNTRY, 2020 & 2030 (%)112
FIGURE 30.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PATIENTS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 31.COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY PAYER, BY COUNTRY, 2020 & 2030 (%)

 
 

According to the analyst perspective, AI in healthcare market is expected to witness steady growth in the future. Increase in technological advancements coupled with rise in need for efficient and innovative solutions to enhance clinical and operational outcomes drive the growth of the market. In addition, an increase in the development of AI-based software solutions further propel the growth of the market. However, limited acceptance from healthcare professionals, owing to the risk of injury and misinterpretation hinder the growth of the global AI in healthcare market. On the contrary, increase in need for improvised healthcare services due to the imbalance between the health workforce & patients and the rise in number of cross-industry partnerships and collaborations are expected to drive the growth of the global AI in healthcare market in the future.

Further, the use of AI in healthcare is highest in North America, owing to technological advancements of these products in the U.S., followed by Europe and Asia-Pacific. In addition, key players in this industry have focused on expanding their presence in the emerging economies, which is anticipated to drive the market growth.

PURCHASE OPTIONS

Start reading instantly ,This Report and over 13000+ thousand more Reports, Available with Avenue Library, T&C*

Call or Email us

U.S.-Canada
Toll-free :
+1-800-792-5285
Int'l : +1-503-894-6022
Europe : + 44-845-528-1300
Email : help@alliedmarketresearch.com
FREQUENTLY ASKED QUESTIONS?
Our Report Looks Like This
 

A. The total market value of AI in healthcare market is $ 8.23 billion in 2020

A. The forecast period in the report is from 2021 to 2030

A. The market value of AI in healthcare market in 2030 was $ 194.14 billion

A. The base year for the report is 2020 in artificial intelligence in healthcare market.

A. Yes, AI in healthcare market companies are profiled in the report

A. The top companies that hold the market share in AI in healthcare market are Welltok, Inc., Intel Corporation, Nvidia Corporation, Google Inc and IBM Corporation

A. No, there is value chain analysis provided in the AI in healthcare market report

A. The key trends in the AI in healthcare market are due to rise in adoption of AI systems and technological advancements in AI systems are anticipated to augment the market growth

Allied Market Research Allied Market Research Allied Market Research
RELATED TAGS
 

HAVE QUESTIONS?
SPEAK WITH ANALYST

 

DID YOU MISS ANYTHING?
DO YOU HAVE SPECIFIC REQUIREMENTS?

 

Download Sample

OR

Purchase Full Report of
Ai In Healthcare Market

Start reading instantly.
This Report and over 13,000+ thousand more Reports, Available with Avenue Library. T&C*.

  • Online Only
  • $3,712
  • Online cloud access only
  • Restricted print, copy, paste & download
  • Read only
  •   Free quarterly industry update
  •   Free report update (Within 180 days)
  •   Subscription model sign in
  • Data Pack
  • $4,125
  • Restricted to one authorized user
  • One print only
  • Available in
    Excel
  •   Free quarterly industry update
  •   Free report update (Within 180 days)
  •   Subscription model sign in
  • Single User
  • $6,168
  • Restricted to one authorized user
  • One print only
  • Available in Excel & PDF
  •   Free quarterly industry update
  •   Free report update (Within 180 days)
  •   Subscription model sign in
  • Five Users
  • $6,929
  • Limited to five authorized users
  • Print upto five copies
  • Available in Excel & PDF
  •   Free quarterly industry update
  •   Free report update (Within 180 days)
  •   Subscription model sign in
  • Enterprise
    License/PDF

  • $10,663
  • Unlimited
    within
    company/enterprise
  • Available in Excel & PDF
  •   Free quarterly industry update
  •   Free report update (Within 180 days)
  •   Subscription model sign in
  • Library Membership
  • $ 699/mo
  • Published Content
    E-access
  • Company Profiles
    E-access
  • Newly Added Content Access
  • 10 PDF
    Downloads
  • 5 Excel Data
    Pack Downloads
  • 250 Company Profiles PDF Downloads
  • Buy Now

*Taxes/Fees, if applicable will be added during checkout. All prices in USD

 

Why Allied Market Research?

 

Infallible Methodology

To ensure high-level data integrity, accurate analysis, and impeccable forecasts

Analyst Support

For complete satisfaction

Customization

On-demand customization of scope of the report to exactly meet your needs

TARGETED MARKET VIEW

Targeted market view to provide pertinent information and save time of readers

 
 

Featured Reports

 

Erythropoietin Drugs Market

Global Opportunity Analysis and Industry Forecast, 2021–2028

Published in May 2021

Download Sample

Protein Therapeutics Market

Global Opportunity Analysis and Industry Forecast, 2017-2023

Published in Nov 2017

Download Sample

Surgical Equipment Market

Global Opportunity Analysis and Industry Forecast, 2020-2027

Published in Jan 2021

Download Sample

Medical Implant Market

Global Opportunity Analysis and Industry Forecast, 2020–2027

Published in Nov 2020

Download Sample

Featured Readings

 

Get fresh content delivered

Get insights on topics that are crucial for your business. Stay abreast of your interest areas.

 
Get Industry Data Alerts
 

Why Allied Market Research?

 

Infallible Methodology

To ensure high-level data integrity, accurate analysis, and impeccable forecasts

Analyst Support

For complete satisfaction

Customization

On-demand customization of scope of the report to exactly meet your needs

TARGETED MARKET VIEW

Targeted market view to provide pertinent information and save time of readers