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Artificial Intelligence (AI) in Healthcare Market: Growth, Size, Share, and Trends

Report Code HIT 9226
Published in May, 2025, By MarketsandMarkets™
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Artificial Intelligence (AI) in Healthcare Market by Offering (Integrated), Function (Diagnosis, Genomic, Precision Medicine, Radiation, Immunotherapy, Pharmacy, Supply Chain), Application (Clinical), End User (Hospitals), Region - Global Forecast to 2030

Overview

The global Artificial Intelligence (AI) in healthcare market is forecasted to reach USD 110.61 billion by 2030 from USD 21.66 billion in 2025, at a CAGR of 38.6% during the forecast period. The growing incidence of chronic diseases, linked with an increasing geriatric population, puts substantial financial pressure on healthcare providers. There is a rising need for the early detection of conditions such as dementia and cardiovascular disorders. This can be done by analyzing imaging data to recognize patterns, which helps create personalized treatment plans.

Artificial Intelligence (AI) in Healthcare Market

Attractive Opportunities in the Artificial Intelligence (AI) in Healthcare Market

Asia Pacific

Market growth in the Asia Pacific can be attributed to the presence of a large and growing patient population, a gradual shift toward adopting technologies such as automation, data analytics, and cloud computing, and increasing spending on HCIT infrastructure.

The rapid proliferation of AI in the healthcare sector, the rising need for early disease detection, and the growing need for improvised healthcare services are the key factors driving market growth.

Strategic partnerships and collaborations among healthcare companies and AI technology providers are expected to provide lucrative opportunities for market players.

Growth in the North American market can be attributed to the high per capita healthcare expenditure, ongoing technological developments, and large number of diagnostic procedures.

Concerns regarding data privacy and the lack of interoperability between AI solutions offered by different vendors are expected to challenge the growth of this market.

Global Artificial Intelligence (AI) in Healthcare Market Dynamics

DRIVER: Growing need for early detection and diagnosis

Early disease detection plays a crucial role in reducing mortality rates, as diagnosing diseases at an early stage significantly improves survival outcomes and lowers treatment costs. However, in many resource-poor settings, chronic diseases are often diagnosed at a late stage, leading to lower survival rates, greater morbidity, and higher treatment expenses. Even in countries with strong healthcare systems, many chronic diseases, such as cancer, are still diagnosed too late. Addressing delays in diagnosis and ensuring timely access to treatment are essential steps in improving disease control worldwide.

RESTRAINT: Reluctance among medical practitioners to adopt AI-based technologies

The healthcare sector encounters hurdles in embracing AI solutions due to apprehensions regarding potential job displacement, questions about the reliability of AI systems, and challenges in seamlessly integrating them into established practices. These concerns act as impediments to the overall expansion of the market. Addressing this challenge requires significant investments in training and encouraging healthcare professionals to adopt AI solutions. Focused initiatives emphasizing education and collaboration between technology developers and healthcare institutions are crucial for fostering understanding and acceptance of the potential of AI in healthcare. This potential includes improved diagnostics, treatment plans, and better patient outcomes.

 

OPPORTUNITY: Increasing focus on developing human-aware AI systems

According to the UN Department of Economic and Social Affairs, the global population of elderly individuals aged 65 years or older is expected to double by 2050, resulting in significant challenges for healthcare systems worldwide. Thus, governments and companies in the healthcare industry are turning to innovative technologies such as AI to enhance elderly care, improve resource allocation, and enhance cost efficiency. AI can transform elderly care by providing proactive, personalized, and cost-effective solutions.

CHALLENGES: Inaccurate predictions due to scarcity of high-quality healthcare data

The implementation of AI in healthcare is facing a significant setback due to a scarcity of high-quality healthcare data. This bottleneck impedes AI performance, leading to inaccurate predictions and potential harm to patients. Several factors exacerbate the challenge, including data fragmentation, privacy concerns, high costs, and expertise barriers. In November 2023, the World Health Organization (WHO) released guidelines outlining essential regulatory considerations for applying AI in healthcare. These guidelines address risks related to the use of AI in health data, emphasizing safety and efficacy.

Global Artificial Intelligence (AI) in Healthcare Market Ecosystem Analysis

The ecosystem of the artificial intelligence (AI) in healthcare market comprises network connectivity and hardware providers, AI software and service providers, cloud service providers, government and regulatory bodies, non-profit organizations, startups, and end users.

Artificial Intelligence (AI) in Healthcare Market
 

The machine learning segment accounted for the largest share of the artificial intelligence (AI) in healthcare market, by tool, in 2024.

The AI market in healthcare is segmented by tools into machine learning, natural language processing, context-aware computing, generative AI, computer vision, and image analysis. In 2024, the machine learning segment held the largest market share due to its wide range of applications in predictive analytics, diagnostics, and personalized medicine. Factors driving the adoption of AI in ML include the growing demand for predictive analytics, advancements in computational power, data availability, regulatory compliance, and cost efficiency.

The diagnosis & early detection segment held the largest share in the Artificial Intelligence (AI) in healthcare market, by function, in 2024

Based on function, the AI in healthcare market is segmented into diagnosis & early detection, treatment planning & personalization, patient engagement & remote monitoring, post-treatment surveillance & survivorship care, pharmacy management, data management & analytics, and administrative functions. The diagnosis & early detection segment commanded the largest share due to advancements in machine learning algorithms, increased availability of large medical datasets, rising demand for preventive healthcare, and the need to reduce healthcare costs.

North America dominated the AI in healthcare market in 2024.

The AI in healthcare market is studied for the five major regions: North America, Europe, the Asia Pacific, Latin America, and the Middle East & Africa. In 2024, North America accounted for the largest share of the global AI in healthcare market. The large share of this regional segment can be attributed to advanced healthcare infrastructure, high adoption rates of AI technologies among healthcare providers, significant government support, and substantial investments in AI-driven healthcare solutions.

LARGEST MARKET SIZE IN 2024
US: FASTEST-GROWING MARKET IN REGION
Artificial Intelligence (AI) in Healthcare Market

Recent Developments of Artificial Intelligence (AI) in Healthcare Market

  • In February 2025, Koninklijke Philips N.V. (Netherlands) partnered with Medtronic (US) to educate and train cardiologists and radiologists in India on advanced imaging techniques for structural heart diseases. This partnership aims to upskill 300+ clinicians in multi-modality imaging such as echocardiography (echo) and Magnetic Resonance Imaging (MRI), especially for End-Stage Renal Disease (ESRD) patients.
  • In July 2024, Microsoft collaborated with Mass General Brigham and the University of Wisconsin–Madison to advance AI models for medical imaging related to more than 23,000 conditions to enhance radiologist efficiency and improve patient outcomes.
  • In January 2024, Siemens and Amazon Web Services (AWS) collaborated to democratize generative AI in software development, integrating Amazon Bedrock into Siemens' Mendix low-code platform. This collaboration aimed to empower domain experts across industries to create and enhance applications easily using advanced generative AI.
  • In November 2023, Koninklijke Philips N.V. collaborated with Vestre Viken Health Trust in Norway to deploy its AI Manager platform to enhance radiology workflows. The AI-enabled bone fracture application streamlined diagnoses, allowing radiologists to focus on complex cases. This initiative, spanning 30 hospitals and serving around 3.8 million people.

Key Market Players

KEY PLAYERS IN THE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET INCLUDE

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Scope of the Report

Report Metric Details
Market size available for years 2023-2030
Base Year Considered 2024
Forecast period 2025-2030
Forecast units Million/Billion (USD) 
Segments covered Offering, Function, Application, Deployment, Tools, End User
Geographies covered North America, Europe, Asia Pacific, Latin America, and Middle East & Africa

Frequently Asked Questions (FAQ)

Which are the top industry players in the global AI in healthcare market?

The top market players in the global AI in healthcare market include Koninklijke Philips N.V. (Netherlands), Microsoft Corporation (US), Siemens Healthineers AG (Germany), NVIDIA Corporation (US), Epic Systems Corporation (US), GE Healthcare (US), Medtronic (US), Oracle (US), Veradigm LLC (US), Merative (IBM) (US), Google (US), Cognizant (US), Johnson & Johnson (US), Amazon Web Services, Inc. (US), SOPHiA GENETICS (US), Riverian Technologies (US), Terarecon (ConcertAI) (US), Solventum Corporation (US), Tempus (US), Viz.ai (US).

Which offerings have been included in the AI in healthcare market report?

This report contains the following offerings:

  • Integrated solutions
  • Niche/point solutions
  • AI technologies
  • Services

 

Which region dominated the global AI in healthcare market in 2024?

North America held the largest share market share in 2024.

Which end users have been included in the AI in healthcare market report?

The report contains the following end-user segments:

 

  • Healthcare Providers
  • Healthcare Payers
  • Patients
  • Other End Users

What is the total CAGR expected to be recorded for the AI in healthcare market during 2025–2030?

The market is expected to record a CAGR of 38.6% from 2025–2030.

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Table of Contents

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
INTRODUCTION
1
RESEARCH METHODOLOGY
34
EXECUTIVE SUMMARY
65
PREMIUM INSIGHTS
81
MARKET OVERVIEW
116
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    RESTRAINTS
    OPPORTUNITIES
    CHALLENGES
  • 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESS
  • 5.4 INDUSTRY TRENDS
  • 5.5 ECOSYSTEM ANALYSIS
  • 5.6 SUPPLY CHAIN ANALYSIS
  • 5.7 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - MACHINE LEARNING & DEEP LEARNING
    - NATURAL LANGUAGE PROCESSING
    - COMPUTER VISION
    COMPLEMENTARY TECHNOLOGIES
    - CLOUD COMPUTING
    - DIGITAL TWINS
    - ROBOTIC PROCESS AUTOMATION (RPA)
    ADJACENT TECHNOLOGIES
    - BLOCKCHAIN
    - AUGMENTED REALITY/VIRTUAL REALITY
    - INTERNET OF THINGS (IOT)
  • 5.8 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    REGULATORY ANALYSIS
    - NORTH AMERICA
    - EUROPE
    - ASIA PACIFIC
    - LATIN AMERICA
    - MIDDLE EAST & AFRICA
  • 5.9 PRICING ANALYSIS
    INDICATIVE PRICING OF AI IN HEALTHCARE SOFTWARE, BY DEPLOYMENT MODEL (QUALITATIVE)
    INDICATIVE PRICING OF AI IN HEALTHCARE SOFTWARE, BY REGION (QUALITATIVE)
  • 5.10 PORTER’S FIVE FORCES ANALYSIS
  • 5.11 PATENT ANALYSIS
  • 5.12 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.13 END-USER ANALYSIS
    UNMET NEEDS
    END-USER EXPECTATIONS
  • 5.14 KEY CONFERENCES & EVENTS IN 2025-2026
  • 5.15 CASE STUDY ANALYSIS
  • 5.16 AI IN HEALTHCARE MARKET: INVESTMENT AND FUNDING SCENARIO
  • 5.17 AI IN HEALTHCARE MARKET: BUSINESS MODELS
  • 5.18 IMPACT OF AI/GEN AI IN THE AI IN HEALTHCARE MARKET
  • 5.19 IMPACT OF 2025 US TARIFF – AI IN HEALTHCARE MARKET
    INTRODUCTION
    KEY TARIFF RATES
    PRICE IMPACT ANALYSIS
    IMPACT ON COUNTRY/REGION
    - US
    - EUROPE
    - APAC
    IMPACT ON ENDUSE INDUSTRIES
AI IN HEALTHCARE MARKET, BY OFFERING
145
  • 6.1 INTRODUCTION
  • 6.2 INTEGRATED SOLUTIONS
  • 6.3 NICHE/POINT SOLUTIONS
  • 6.4 AI TECHNOLOGY
  • 6.5 SERVICES
AI IN HEALTHCARE MARKET, BY FUNCTION
178
  • 7.1 INTRODUCTION
  • 7.2 DIAGNOSIS & EARLY DETECTION
    PRESCREENING
    IVD
    - BY TECHNOLOGY
    - BY APPLICATION
    DIAGNOSTICS IMAGING
    - BY APPLICATION
    - BY MODALITY
    RISK ASSESSMENT & PATIENT STRATIFICATION
    DRUG ALLERGY ALERTING
    OTHERS
  • 7.3 TREATMENT PLANNING & PERSONALIZATION
    - PRECISION MEDICINE & GENOMIC ANALYSIS
    - PREDICTIVE MODELS FOR TREATMENT RESPONSE
    - TREATMENT RECOMMENDATION SYSTEMS
    PHARMACOLOGICAL THERAPY
    - DRUG RESPONSE PREDICTION
    - DOSING & ADMINISTRATION
    - OTHERS
    SURGICAL THERAPY
    - PREOPERATIVE IMAGING AND 3D MODELING
    - INTRAOPERATIVE GUIDANCE AND ROBOTICS
    - POSTOPERATIVE ANALYSIS & RECOVERY
    RADIATION THERAPY
    - MOTION SYNCHRONIZATION & AUTO CONTOURING
    - REAL-TIME ADAPTIVE TREATMENT DELIVERY
    - RESPONSE ASSESSMENT & QUALITY ASSURANCE
    - OTHERS
    BEHAVIORAL & PSCYCHOTHERAPY THERAPY
    - VIRTUAL COUNSELLING & CHATBOTS
    - PROGRESS MONITORING & FEEDBACK
    - FOLLOW-UP & LONG-TERM SUPPORT
    IMMUNOTHERAPY
    - REAL-TIME PATIENT DATA MONITORING (IMAGING SCANS, BLOOD BIOMARKERS, VITALS)
    - RESPONSE & SIDE EFFECT PREDICTION
    - RELAPSE PREDICTION AND LONG-TERM MANAGEMENT
    OTHERS
  • 7.4 PATIENT ENGAGEMENT & REMOTE MONITORING
    SYMPTOM MANAGEMENT & VIRTUAL ASSISTANCE
    TELEHEALTH & REMOTE PATIENT MONITORING
    HEALTHCARE ASSISTANCE ROBOTS
    MEDICATION REMINDERS
    PATIENT EDUCATION & EMPOWERMENT
    OTHERS PATIENT ENGAGEMENT & REMOTE MONITORING
  • 7.5 POST TREATMENT SURVEILLANCE & SURVIVORSHIP CARE
  • 7.6 PHARMACY MANAGEMENT
  • 7.7 DATA MANAGEMENT & ANALYTICS
  • 7.8 ADMINISTRATIVE
    PATIENT REGISTRATION & SCHEDULING
    PATIENT ELIGIBILITY & AUTHORIZATION
    BILLING & CLAIMS MANAGEMENT
    WORKFORCE MANAGEMENT
    SUPPLY CHAIN & INVENTORY MANAGEMENT
    COMPLIANCE & DOCUMENTATION
    HEALTHCARE WORKFLOW MANAGEMENT
    ASSET MANAGEMENT
    CUSTOMER RELATIONSHIP MANAGEMENT
    FRAUD DETECTION & RISK MANAGEMENT
    CYBERSECURITY
    OTHERS
AI IN HEALTHCARE MARKET, BY APPLICATION
208
  • 8.1 INTRODUCTION
  • 8.2 CLINICAL APPLICATIONS
  • 8.3 NON-CLINICAL APPLICATIONS
AI IN HEALTHCARE MARKET, BY DEPLOYMENT MODEL
333
  • 9.1 INTRODUCTION
  • 9.2 ON-PREMISES MODELS
  • 9.3 CLOUD-BASED MODELS
  • 9.4 HYBRID MODELS
AI IN HEALTHCARE MARKET, BY TOOLS
410
  • 10.1 INTRODUCTION
  • 10.2 MACHINE LEARNING
    DEEP LEARNING
    - CONVOLUTIONAL NEURAL NETWORKS (CNN)
    - RECURRENT NEURAL NETWORKS (RNN)
    - GENERATIVE ADVERSARIAL NETWORKS (GAN)
    - GRAPH NEURAL NETWORKS (GNN)
    - OTHERS
    SUPERVISED LEARNING
    REINFORCEMENT LEARNING
    UNSUPERVISED LEARNING
    OTHER MACHINE LEARNING TOOLS
  • 10.3 NATURAL LANGUAGE PROCESSING
    SENTIMENT ANALYSIS
    SPEECH RECOGNITION
  • 10.4 CONTEXT-AWARE COMPUTING
    DEVICE CONTEXT
    USER CONTEXT
    PHYSICAL CONTEXT
  • 10.5 GENERATIVE AI
  • 10.6 COMPUTER VISION
  • 10.7 IMAGE ANALYSIS
AI IN HEALTHCARE MARKET, BY END-USER
450
  • 11.1 INTRODUCTION
  • 11.2 HEALTHCARE PROVIDERS
    HOSPITALS & CLINICS
    AMBULATORY CARE CENTERS
    HOME HEALTHCARE AGENCIES & ASSISTED LIVING FACILITIES
    DIAGNOSTIC & IMAGING CENTERS
    PHARMACIES
    OTHERS HEALTHCARE PROVIDERS
  • 11.3 HEALTHCARE PAYERS
    PUBLIC PAYERS
    PRIVATE PAYERS
  • 11.4 PATIENTS
  • 11.5 OTHERS END USERS
AI IN HEALTHCARE MARKET, BY REGION
531
  • 12.1 INTRODUCTION
  • 12.2 NORTH AMERICA
    MACROECONOMIC OUTLOOK FOR NORTH AMERICA
    US
    CANADA
  • 12.3 EUROPE
    MACROECONOMIC OUTLOOK FOR EUROPE
    GERMANY
    FRANCE
    UK
    ITALY
    SPAIN
    REST OF EUROPE
  • 12.4 ASIA PACIFIC
    MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
    JAPAN
    CHINA
    INDIA
    REST OF ASIA PACIFIC
  • 12.5 LATIN AMERICA
    MACROECONOMIC OUTLOOK FOR LATIN AMERICA
    BRAZIL
    MEXICO
    REST OF LATIN AMERICA
  • 12.6 MIDDLE EAST & AFRICA
    MACROECONOMIC OUTLOOK FOR MIDDLE EAST & AFRICA
    GCC COUNTRIES
    REST OF MIDDLE EAST & AFRICA
COMPETITIVE LANDSCAPE
589
  • 13.1 OVERVIEW
  • 13.2 STRATEGIES ADOPTED BY KEY PLAYERS
  • 13.3 REVENUE SHARE ANALYSIS OF KEY MARKET PLAYERS (2024)
  • 13.4 MARKET SHARE ANALYSIS (2024)
  • 13.5 BRAND/PRODUCT COMPARATIVE ANALYSIS
  • 13.6 VALUATION AND FINANCIAL METRICS OF KEY AI IN HEALTHCARE VENDORS
  • 13.7 COMPANY EVALUATION MATRIX: KEY PLAYERS 2024
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2024
    - COMPANY FOOTPRINT
    - REGION FOOTPRINT
    - OFFERING FOOTPRINT
    - FUNCTIONS FOOTPRINT
    - APPLICATIONS FOOTPRINT
    - DEPLOYMENT FOOTPRINT
    - TOOLS FOOTPRINT
    - END USER FOOTPRINT
  • 13.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    - DETAILED LIST OF STARTUPS/SMES
    - COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • 13.9 COMPETITIVE SCENARIO AND TRENDS
    DIGITAL TWINS IN HEALTHCARE MARKET: PRODUCT LAUNCHES
    DIGITAL TWINS IN HEALTHCARE MARKET: DEALS
    DIGITAL TWINS IN HEALTHCARE MARKET: OTHERS DEVELOPMENTS
COMPANY PROFILES
662
  • 14.1 KEY PLAYERS
    KONINKLIJKE PHILIPS N.V.
    MICROSOFT CORPORATION
    SIEMENS HEALTHINEERS AG
    NVIDIA CORPORATION
    EPIC SYSTEMS CORPORATION
    GE HEALTHCARE
    MEDTRONIC
    ORACLE
    VERADIGM, LLC
    MERATIVE
    GOOGLE
    RIVERIAN TECHNOLOGIES
    JOHNSON & JOHNSON
    AMAZON WEB SERVICES
    SOPHIA GENETICS
    TERARECON (CONCERTAI)
    COGNIZANT
    TEMPUS
    SOLVENTUM CORPORATION
    VIZ.AI
  • 14.2 OTHER PLAYERS
    QVENTUS
    QURE.AI
    ATOMWISE, INC
    ENLITIC, INC.
    SEGMED
APPENDIX
687
  • 15.1 INSIGHTS OF INDUSTRY EXPERTS
  • 15.2 DISCUSSION GUIDE
  • 15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 15.4 CUSTOMIZATION OPTIONS
  • 15.5 RELATED REPORTS
  • 15.6 AUTHOR DETAILS

 

The study involved significant activities in estimating the current size of the Artificial Intelligence (AI) in healthcare market. Exhaustive secondary research was done to collect information on the Artificial Intelligence (AI) in healthcare market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain using primary research. Different approaches, such as top-down and bottom-up, were employed to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the Artificial Intelligence (AI) in healthcare market.

Secondary Research

This research study involved the wide use of secondary sources, directories, and databases such as Dun & Bradstreet, Bloomberg Businessweek, and Factiva; white papers, annual reports, and companies’ house documents; investor presentations; and the SEC filings of companies. The market for the companies offering Artificial Intelligence (AI) in healthcare solutions is arrived at by secondary data available through paid and unpaid sources, analyzing the product portfolios of the major companies in the ecosystem, and rating the companies by their performance and quality. Various sources were referred to in the secondary research process to identify and collect information for this study. The secondary sources include annual reports, press releases, investor presentations of companies, white papers, journals, certified publications, and articles from recognized authors, directories, and databases.

Various secondary sources were referred to in the secondary research process to identify and collect information related to the study. These sources included annual reports, press releases, investor presentations of Artificial Intelligence (AI) in healthcare vendors, forums, certified publications, and whitepapers. The secondary research was used to obtain critical information on the industry’s value chain, the total pool of key players, market classification, and segmentation from the market and technology-oriented perspectives.

Primary Research

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. Primary sources are mainly industry experts from the core and related industries and preferred suppliers, manufacturers, distributors, technology developers, researchers, and organizations related to all segments of this industry’s value chain. In-depth interviews were conducted with various primary respondents, including key industry participants, subject-matter experts (SMEs), C-level executives of key market players, and industry consultants, among other experts, to obtain and verify the critical qualitative and quantitative information as well as assess prospects.

Primary research was conducted to identify segmentation types, industry trends, key players, and key market dynamics such as drivers, restraints, opportunities, challenges, industry trends, and strategies adopted by key players.

After the complete market engineering (calculations for market statistics, market breakdown, market size estimations, market forecasting, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at.

In the complete market engineering process, the top-down and bottom-up approaches and several data triangulation methods were extensively used to perform the market estimation and market forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to list the key information/insights throughout the report.

Breakdown of the Primary Respondents:

Artificial Intelligence (AI) in Healthcare Market

Note: Other designations include sales managers, marketing managers, and product managers.

Note: Tiers are defined based on a company’s total revenue as of 2024: Tier 1 = >USD 1 billion, Tier 2 = USD 500 million to USD 1 billion, and Tier 3 = < USD 500 million.

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

The market size estimates and forecasts provided in this study are derived through a mix of the bottom-up approach (revenue share analysis of leading players) and top-down approach (assessment of utilization/adoption/penetration trends by offering, function, application, deployment, tool, end user, and region).

Artificial Intelligence (AI) in Healthcare Market

Data Triangulation

After arriving at the overall market size—using the market size estimation processes—the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and sub-segment, data triangulation and market breakdown procedures were employed, wherever applicable. The data was triangulated by studying various factors and trends from both the demand and supply sides in the Artificial Intelligence (AI) in healthcare market.

Market Definition

Artificial Intelligence (AI) in healthcare market encompasses the application of artificial intelligence technologies, such as machine learning, natural language processing, computer vision, and robotics, to improve healthcare delivery, enhance operational efficiencies, and provide personalized care. These solutions address a wide range of use cases, including diagnostic imaging, predictive analytics, drug discovery, patient engagement, remote monitoring, and administrative workflows, enabling healthcare providers, payers, and pharmaceutical companies to drive innovation and improve outcomes.

Stakeholders

  • AI in healthcare software vendors
  • AI in healthcare service providers
  • Independent software vendors (ISVs)
  • Platform providers
  • Technology providers
  • System integrators
  • Cloud service providers
  • Healthcare IT service providers
  • Hospitals and surgical centers
  • Diagnostic imaging centers
  • Academic institutes and research laboratories
  • Forums, alliances, and associations
  • Government organizations
  • Institutional investors and investment banks
  • Investors/Shareholders
  • Venture capitalists
  • Research and consulting firms

Report Objectives

  • To define, describe, and forecast the global Artificial Intelligence (AI) in healthcare market based on offering, function, application, deployment, tools, end user, and region
  • To provide detailed information regarding the factors influencing the growth of the market (such as the drivers, restraints, opportunities, and challenges)
  • To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the overall Artificial Intelligence (AI) in healthcare market
  • To analyze market opportunities for stakeholders and provide details of the competitive landscape for market leaders
  • To forecast the size of the Artificial Intelligence (AI) in healthcare market in five main regions (along with their respective key countries): North America, Europe, the Asia Pacific, Latin America, and the Middle East & Africa
  • To profile key players and comprehensively analyze their product portfolios, market positions, and core competencies in the market
  • To track and analyze competitive developments such as product & service launches, expansions, partnerships, agreements, and collaborations; and acquisitions in the Artificial Intelligence (AI) in healthcare market
  • To benchmark players within the Artificial Intelligence (AI) in healthcare market using the Company Evaluation Matrix framework, which analyzes market players on various parameters within the broad categories of business strategy, market share, and product offering

 

Previous Versions of this Report

Artificial Intelligence (AI) in Healthcare Market by Offering (Integrated), Function (Diagnosis, Genomic, Precision Medicine, Radiation, Immunotherapy, Pharmacy, Supply Chain), Application (Clinical), End User (Hospitals), Region- Global Forecast to 2030

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Report Code SE 5225
Published in Oct, 2021, By MarketsandMarkets™

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Growth opportunities and latent adjacency in Artificial Intelligence (AI) in Healthcare Market

winsay

May, 2022

Interested about how AI will change the treatment process and its benefits. .

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Nov, 2017

I was going through the ToC of AI in Healthcare market, I would like to understand, what are the requirements to perform in the fields of AI? .

Payush

Nov, 2017

I was going through the ToC of AI in Healthcare market, I would like to understand, what are the requirements to perform in the fields of AI? .

Riju

Dec, 2018

We have specific interests in global AI in healthcare market and the US AI in healthcare market. Any further details related to market size of AI for early disease detection (for global and USA) would be appreciated. .

Asghar

Feb, 2019

I am looking to purchase this report to see the implications of AI on the workforce in Norway..

Tanuj

May, 2019

I am interested in understanding the market size and related insights on computer-assisted physician documentation (CAPD), clinical documentation improvement (CDI), computer-assisted coding (CAC), ambient voice and voice assistants, NLP, and machine learning for clinical, operational, and financial healthcare scenarios in AI in healthcare..

Narayan

Dec, 2019

I am an automation enthusiast and would like to understand the impact of AI in healthcare. Could you provide me some brochure and sample to get into details..

Kevin

May, 2019

I am conducting a research project on AI in healthcare as a part of my MHA/MBA marketing course. Could you share some relevant information in the form of sample brochure and estimated cost of the report, post discount mentioned on the website?.

Vishal

Feb, 2019

We are redeveloping our chart for Artificial Intelligence in Healthcare Market. Does your report covers regional market insights..

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