Market by Solution, Technology, Type, Industry Vertical, and Regional Outlook | Forecast 2024-2032
Artificial intelligence (AI)
in healthcare refers to the use of machine-learning algorithms and software to
mimic human cognition in the analysis, interpretation, and understanding of
complex medical and healthcare data. It is being used to diagnose diseases,
create personalized treatment plans, and even predict patient survival rates.
The integration of AI in healthcare systems is enhancing patient care,
improving diagnostics, and optimizing workflows. The market is witnessing a
surge as integrating AI in healthcare is leading to improved patient outcomes,
increased efficiency, and significant cost savings. This integration is
fostering a new era of personalized medicine and advanced healthcare delivery.
According to Triton Market Research’s report, the Global Artificial Intelligence (AI) in Healthcare Market is likely to advance with a CAGR of 37.14% over the forecast period 2024-2032. The market size was $19552.29 million in 2023 and is expected to reach a revenue of $342672.19 million by 2032.
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MARKET
PERFORMANCE – DRIVERS, CHALLENGES, AND OPPORTUNITIES
The
AI in healthcare market is booming due to abundant healthcare data, especially
big data, which necessitates AI analysis for improved healthcare quality. This is one of the many applications of AI in
healthcare. Telemedicine, an application of AI, proved crucial during the
pandemic, while generative AI algorithms transformed care accessibility.
Personalized medicine, driven by diagnostic tests and individualized
treatments, is gaining momentum, backed by increasing FDA approvals and
integrated patient data. These are some of the AI benefits in healthcare.
However,
cost constraints and low ROI, along with the slow adoption of AI technologies,
limit the market’s growth.
Firstly, cost constraints and a low return on investment hinder startups from
investing in AI, as developing cutting-edge products requires substantial
financial resources, and the monetization process is lengthy. Data security is
another significant challenge, with concerns over safeguarding patient
information amid the digitization of medical records and the increased risk of
data breaches.
Slow adoption of AI-based technologies among
medical practitioners further impedes market growth, attributed to factors such
as high costs, skepticism regarding AI’s ability to replicate human judgment,
and the absence of clear data supporting healthcare decisions. This raises the
question, should AI be used in healthcare? Addressing these challenges requires
comprehensive approaches, including robust access control measures, secure
storage solutions, and efforts to build public trust in AI technology. Despite
efforts by the European Union to promote research and innovation in AI,
widespread adoption remains limited due to various factors, including limited
internet access and challenges in identifying practical use cases for AI in
healthcare.
Nevertheless,
the expanding application of AI and rising demand for AI in drug discovery
creates opportunities for the studied market. AI technologies such as deep learning, machine
learning, and predictive analytics are being actively utilized in medical
imaging, robotic surgery, population health management, drug discovery, and
precision medicine, among others. The rising demand for AI in drug discovery is
evident, with pharmaceutical companies and technology giants investing heavily
in AI-enabled platforms to enhance disease target identification and compound
screening.
Additionally, the focus on precision medicine and personalized drugs is driving the adoption of AI technologies to tailor treatments based on individual health histories and optimize combination therapies. The establishment of real-time monitoring systems powered by AI is another significant opportunity, facilitating proactive healthcare management and predictive capabilities to prevent adverse health outcomes.
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KEY
GEOGRAPHIES COVERED:
•
North America: United States and Canada
•
Europe: United Kingdom, France, Germany, Spain, Italy, the Netherlands,
and Rest of Europe
•
Asia-Pacific: China, Japan, India, South Korea, ASEAN Countries,
Australia & New Zealand, and Rest of Asia-Pacific
•
Latin America: Brazil, Mexico, and Rest of Latin America
• Middle East and Africa: United Arab Emirates, Saudi Arabia, Turkey, South Africa, and Rest of Middle East & Africa
SEGMENTATION
ANALYSIS – ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET:
• Market by Solution:
o Software
o Services
o Hardware
In
2023, software led the market in terms of solutions. A major software trend in the AI market for
healthcare is the development of software that is expected to enable the
detection of clinically meaningful pathologies within the images to facilitate
physicians to conclude accurate diagnoses and provide treatment.
• Market by Technology:
o Natural Language Processing
o Querying Method
o Context Aware Processing
o Deep Learning
• Market by Type:
o Robot-assisted Surgery
o Virtual Nursing Assistant
o Administrative Workflow Assistance
o Fraud Detection
o Dosage Error Reduction
o Clinical Trial Participant Identifier
o Preliminary Diagnosis
o Other Types
• Market by Industry Vertical:
o Healthcare Providers
o Pharmaceutical and Biotechnology Companies
o Payers
o ACOS and MCOS
o Patients
COMPETITIVE LANDSCAPE:
The competitive landscape helps dive into data
about the key players in the artificial intelligence (AI) in healthcare market.
The strategic initiatives for each of the companies considered have been
covered in detail.
Acquisition
(January 2024): GE Healthcare and MIM Software
GE Healthcare acquired MIM Software, a global
provider of medical imaging analysis and artificial intelligence (AI) solutions
for the practice of radiation oncology, molecular radiotherapy, diagnostic
imaging, and urology at imaging centers, hospitals, specialty clinics, and
research organizations worldwide.
Collaboration
(November 2023): Wipro and NVIDIA
Wipro announced collaborating
with NVIDIA to assist healthcare companies in accelerating the adoption of
generative artificial intelligence (AI).
KEY
BENEFITS OF THE REPORT:
● Triton Market Research has a collective experience of 25-30 years in the industry, with its analysts and experts encompassing the most infallible research methodology for its market intelligence and industry analysis.
● Our research methodology helps in achieving a broader consensus of the market size, shape, and industry trends within each industry segment.
● The strategy adopted in designing the research methodology includes the amalgamation of the information assembled from primary and secondary sources, with the assistance of analytical tools to construct the forecast and predictive models.
●
The scope of the market report comprises the current scenario of
the global artificial intelligence (AI) in healthcare market, along with the
detailed overview of the industry outlook, market dynamics, segmentation
analysis, regional outlook, and competitive landscape for the period 2024-2032.
FAQs:
Q 1) Which is the fastest-growing type in the
artificial intelligence (AI) in healthcare market?
Dosage error reduction is the fastest-growing
type in the artificial intelligence (AI) in healthcare market.
Q
2) Which industry vertical comprises the highest market share in the artificial
intelligence (AI) in healthcare market?
Healthcare providers attain the highest market
share in the artificial intelligence (AI) in healthcare market.
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VIEW REPORT1. GLOBAL
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - SUMMARY
2. INDUSTRY
OUTLOOK
2.1. PORTER’S
FIVE FORCES ANALYSIS
2.1.1. BUYERS
POWER
2.1.2. SUPPLIERS
POWER
2.1.3. SUBSTITUTION
2.1.4. NEW
ENTRANTS
2.1.5. INDUSTRY
RIVALRY
2.2. MARKET
MATURITY ANALYSIS
2.3. VALUE
CHAIN ANALYSIS
2.3.1. DATA
WAREHOUSE
2.3.2. ARTIFICIAL
INTELLIGENCE (AI) ANALYSIS
2.3.3. SOFTWARE
DEVELOPMENT
2.4. KEY
BUYING CRITERIA
2.4.1. APPLICATION
2.4.2. TECHNOLOGY
2.4.3. INTEGRATION
WITH EXISTING INFRASTRUCTURE
2.5. REGULATORY
FRAMEWORK
2.6. KEY
MARKET STRATEGIES
2.6.1. ACQUISITIONS
2.6.2. PRODUCT
LAUNCHES
2.6.3. COLLABORATIONS
2.7. MARKET
DRIVERS
2.7.1. ADOPTION
OF AI BEING SUPPORTED BY LARGE VOLUMES OF HEALTHCARE DATA
2.7.2. PERSONALIZED
MEDICINE IN TESTS FOR CLINICAL DECISION-MAKING
2.7.3. GROWING
PROACTIVE GOVERNMENT SUPPORT AND INVESTMENTS IN AI R&D
2.7.4. INCREASING
START-UPS IN AI AND MACHINE LEARNING
2.8. MARKET
CHALLENGES
2.8.1. COST
CONSTRAINTS AND A LOW RETURN ON INVESTMENT (ROI)
2.8.2. CHALLENGES
IN SUSTAINING DATA SECURITY
2.8.3. SLOW
ADOPTION OF AI-BASED TECHNOLOGIES
2.9. MARKET
OPPORTUNITIES
2.9.1. EXPANDING
APPLICATIONS OF AI IN THE HEALTHCARE INDUSTRY
2.9.2. RISING
DEMAND FOR AI IN DRUG DISCOVERY
2.9.3. STRONG
FOCUS ON THE DEVELOPMENT OF PRECISION MEDICINE AND PERSONALIZED DRUGS
2.9.4. AI
USED TO ESTABLISH A REAL-TIME MONITORING SYSTEM
2.10. ANALYST
PERSPECTIVE
3. GLOBAL
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - BY SOLUTION
3.1. SOFTWARE
3.2. SERVICES
3.3. HARDWARE
4. GLOBAL
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - BY TECHNOLOGY
4.1. NATURAL
LANGUAGE PROCESSING
4.2. QUERYING
METHOD
4.3. CONTEXT
AWARE PROCESSING
4.4. DEEP
LEARNING
5. GLOBAL
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - BY TYPE
5.1. ROBOT-ASSISTED
SURGERY
5.2. VIRTUAL
NURSING ASSISTANT
5.3. ADMINISTRATIVE
WORKFLOW ASSISTANCE
5.4. FRAUD
DETECTION
5.5. DOSAGE
ERROR REDUCTION
5.6. CLINICAL
TRIAL PARTICIPANT IDENTIFIER
5.7. PRELIMINARY
DIAGNOSIS
5.8. OTHER TYPES
6. GLOBAL
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - BY INDUSTRY VERTICAL
6.1. HEALTHCARE
PROVIDERS
6.2. PHARMACEUTICAL
AND BIOTECHNOLOGY COMPANIES
6.3. PAYERS
6.4. ACOS
AND MCOS
6.5. PATIENTS
7. GLOBAL
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET – BY REGIONAL OUTLOOK
7.1. NORTH
AMERICA
7.1.1. MARKET
BY SOLUTION
7.1.2. MARKET
BY TECHNOLOGY
7.1.3. MARKET
BY TYPE
7.1.4. MARKET
BY INDUSTRY VERTICAL
7.1.5. COUNTRY
ANALYSIS
7.1.5.1. UNITED
STATES
7.1.5.1.1. UNITED
STATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST &
PROSPECTS
7.1.5.2. CANADA
7.1.5.2.1. CANADA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.2. EUROPE
7.2.1. MARKET
BY SOLUTION
7.2.2. MARKET
BY TECHNOLOGY
7.2.3. MARKET
BY TYPE
7.2.4. MARKET
BY INDUSTRY VERTICALS
7.2.5. COUNTRY
ANALYSIS
7.2.5.1. GERMANY
7.2.5.1.1. GERMANY
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.2.5.2. UNITED
KINGDOM
7.2.5.2.1. UNITED
KINGDOM ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST &
PROSPECTS
7.2.5.3. FRANCE
7.2.5.3.1. FRANCE
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.2.5.4. ITALY
7.2.5.4.1. ITALY
MARKET FORECAST & PROSPECTS
7.2.5.5. SPAIN
7.2.5.5.1. SPAIN
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.2.5.6. NETHERLANDS
7.2.5.6.1. NETHERLANDS
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.2.5.7. REST
OF EUROPE
7.2.5.7.1. REST
OF EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST &
PROSPECTS
7.3. ASIA-PACIFIC
7.3.1. MARKET
BY SOLUTION
7.3.2. MARKET
BY TECHNOLOGY
7.3.3. MARKET
BY TYPE
7.3.4. MARKET
BY INDUSTRY VERTICAL
7.3.5. COUNTRY
ANALYSIS
7.3.5.1. CHINA
7.3.5.1.1. CHINA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.3.5.2. JAPAN
7.3.5.2.1. JAPAN
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.3.5.3. INDIA
7.3.5.3.1. INDIA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.3.5.4. SOUTH
KOREA
7.3.5.4.1. SOUTH
KOREA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST &
PROSPECTS
7.3.5.5. AUSTRALIA
& NEW ZEALAND
7.3.5.5.1. AUSTRALIA
& NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST
& PROSPECTS
7.3.5.6. ASEAN
COUNTRIES
7.3.5.6.1. ASEAN
COUNTRIES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST &
PROSPECTS
7.3.5.7. REST
OF ASIA-PACIFIC
7.3.5.7.1. REST
OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST
& PROSPECTS
7.4. LATIN
AMERICA
7.4.1. MARKET
BY SOLUTION
7.4.2. MARKET
BY TECHNOLOGY
7.4.3. MARKET
BY TYPE
7.4.4. MARKET
BY INDUSTRY VERTICAL
7.4.5. COUNTRY
ANALYSIS
7.4.5.1. BRAZIL
7.4.5.1.1. BRAZIL
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.4.5.2. MEXICO
7.4.5.2.1. MEXICO
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.4.5.3. REST
OF LATIN AMERICA
7.4.5.3.1. REST
OF LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST
& PROSPECTS
7.5. MIDDLE
EAST AND AFRICA
7.5.1. MARKET
BY SOLUTION
7.5.2. MARKET
BY TECHNOLOGY
7.5.3. MARKET
BY TYPE
7.5.4. MARKET
BY INDUSTRY VERTICAL
7.5.5. COUNTRY
ANALYSIS
7.5.5.1. UNITED
ARAB EMIRATES
7.5.5.1.1. UNITED
ARAB EMIRATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST &
PROSPECT
7.5.5.2. SAUDI
ARABIA
7.5.5.2.1. SAUDI
ARABIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST &
PROSPECTS
7.5.5.3. TURKEY
7.5.5.3.1. TURKEY
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.5.5.4. SOUTH
AFRICA
7.5.5.4.1. SOUTH
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST &
PROSPECTS
7.5.5.5. REST
OF MIDDLE EAST & AFRICA
7.5.5.5.1. REST
OF MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET
FORECAST & PROSPECTS
8. COMPETITIVE
LANDSCAPE
8.1. GE
HEALTHCARE
8.1.1. OVERVIEW
8.1.2. PRODUCT
LIST
8.1.3. KEY
STRENGTHS
8.1.4. KEY
CHALLENGES
8.2. GENERAL
VISION INC
8.2.1. OVERVIEW
8.2.2. PRODUCT
LIST
8.3. GOOGLE
LLC
8.3.1. OVERVIEW
8.3.2. PRODUCT
LIST
8.3.3. KEY
STRENGTHS
8.3.4. KEY
CHALLENGES
8.4. IBM
CORPORATION
8.4.1. OVERVIEW
8.4.2. PRODUCT
LIST
8.4.3. KEY
STRENGTHS
8.4.4. KEY
CHALLENGES
8.5. INTEL
CORPORATION
8.5.1. OVERVIEW
8.5.2. PRODUCT
LIST
8.5.3. KEY
STRENGTHS
8.5.4. KEY
CHALLENGES
8.6. KONINKLIJKE
PHILIPS NV
8.6.1. COMPANY
OVERVIEW
8.6.2. PRODUCTS
8.6.3. KEY
STRENGTHS
8.6.4. KEY
CHALLENGES
8.7. MEDTRONIC
PLC
8.7.1. COMPANY
OVERVIEW
8.7.2. PRODUCT
LIST
8.7.3. KEY
STRENGTHS
8.7.4. KEY
CHALLENGES
8.8. MICROSOFT
CORPORATION
8.8.1. COMPANY
OVERVIEW
8.8.2. PRODUCT
LIST
8.8.3. KEY
STRENGTHS
8.8.4. KEY
CHALLENGES
8.9. NVIDIA
CORPORATION
8.9.1. OVERVIEW
8.9.2. PRODUCT
LIST
8.9.3. KEY
STRENGTHS
8.9.4. KEY
CHALLENGES
8.10. ONCORA
MEDICAL
8.10.1. OVERVIEW
8.10.2. PRODUCT
LIST
8.11. RECURSION
PHARMACEUTICALS INC
8.11.1. OVERVIEW
8.11.2. PRODUCTS
8.12. STRYKER
CORPORATION
8.12.1. OVERVIEW
8.12.2. PRODUCT
LIST
8.12.3. KEY
STRENGTHS
8.12.4. KEY
CHALLENGES
8.13. SIEMENS
HEALTHINEERS AG
8.13.1. OVERVIEW
8.13.2. PRODUCT
LIST
8.13.3. KEY
STRENGTHS
8.13.4. KEY CHALLENGES
9. RESEARCH
METHODOLOGY & SCOPE
9.1. RESEARCH
SCOPE & DELIVERABLES
9.1.1. OBJECTIVES
OF STUDY
9.1.2. SCOPE
OF STUDY
9.2. SOURCES
OF DATA
9.2.1. PRIMARY
DATA SOURCES
9.2.2. SECONDARY
DATA SOURCES
9.3. RESEARCH
METHODOLOGY
9.3.1. EVALUATION
OF PROPOSED MARKET
9.3.2. IDENTIFICATION
OF DATA SOURCES
9.3.3. ASSESSMENT
OF MARKET DETERMINANTS
9.3.4. DATA
COLLECTION
9.3.5. DATA
VALIDATION & ANALYSIS
TABLE 1: GLOBAL ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY REGIONAL OUTLOOK, HISTORICAL YEARS,
2020-2023 (IN $ MILLION)
TABLE 2: GLOBAL ARTIFICIAL INTELLIGENCE
(AI) IN HEALTHCARE MARKET, BY REGIONAL OUTLOOK, FORECAST YEARS, 2024-2032 (IN $
MILLION)
TABLE 3: LIST OF ACQUISITIONS
TABLE 4: LIST OF PRODUCT
LAUNCHES
TABLE 5: LIST OF
COLLABORATIONS
TABLE 6: GLOBAL ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION, 2024-2032 (IN $ MILLION)
TABLE 7: GLOBAL ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, 2024-2032 (IN $ MILLION)
TABLE 8: GLOBAL ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TYPE, 2024-2032 (IN $ MILLION)
TABLE 9: GLOBAL ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY INDUSTRY VERTICAL, 2024-2032 (IN $
MILLION)
TABLE 10: GLOBAL ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY REGIONAL OUTLOOK, HISTORICAL YEARS,
2020-2023 (IN $ MILLION)
TABLE 11: GLOBAL ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY REGIONAL OUTLOOK, FORECAST YEARS,
2024-2032 (IN $ MILLION)
TABLE 12: NORTH AMERICA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK,
2024-2032 (IN $ MILLION)
TABLE 13: NORTH AMERICA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION, 2024-2032 (IN $
MILLION)
TABLE 14: NORTH AMERICA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, 2024-2032 (IN
$ MILLION)
TABLE 15: NORTH AMERICA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TYPE, 2024-2032 (IN $
MILLION)
TABLE 16: NORTH AMERICA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY INDUSTRY VERTICAL,
2024-2032 (IN $ MILLION)
TABLE 17: EUROPE ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK, 2024-2032 (IN $
MILLION)
TABLE 18: EUROPE ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION, 2024-2032 (IN $ MILLION)
TABLE 19: EUROPE ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, 2024-2032 (IN $ MILLION)
TABLE 20: EUROPE ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TYPE, 2024-2032 (IN $ MILLION)
TABLE 21: EUROPE ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY INDUSTRY VERTICAL, 2024-2032 (IN $
MILLION)
TABLE 22: ASIA-PACIFIC
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK,
2024-2032 (IN $ MILLION)
TABLE 23: ASIA-PACIFIC
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION, 2024-2032 (IN $
MILLION)
TABLE 24: ASIA-PACIFIC
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, 2024-2032 (IN
$ MILLION)
TABLE 25: ASIA-PACIFIC
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TYPE, 2024-2032 (IN $
MILLION)
TABLE 26: ASIA-PACIFIC
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY INDUSTRY VERTICAL,
2024-2032 (IN $ MILLION)
TABLE 27: LATIN AMERICA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK,
2024-2032 (IN $ MILLION)
TABLE 28: LATIN AMERICA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION, 2024-2032 (IN $
MILLION)
TABLE 29: LATIN AMERICA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, 2024-2032 (IN
$ MILLION)
TABLE 30: LATIN AMERICA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TYPE, 2024-2032 (IN $
MILLION)
TABLE 31: LATIN AMERICA ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY INDUSTRY VERTICAL, 2024-2032 (IN $
MILLION)
TABLE 32: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK,
2024-2032 (IN $ MILLION)
TABLE 33: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION,
2024-2032 (IN $ MILLION)
TABLE 34: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY,
2024-2032 (IN $ MILLION)
TABLE 35: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TYPE, 2024-2032
(IN $ MILLION)
TABLE 36: MIDDLE EAST AND
AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY INDUSTRY VERTICAL,
2024-2032 (IN $ MILLION)
FIGURE 1: PORTER’S FIVE FORCES
ANALYSIS
FIGURE 2: MARKET MATURITY
ANALYSIS
FIGURE 3: VALUE CHAIN ANALYSIS
FIGURE 4: GLOBAL ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION, 2023 & 2032 (IN %)
FIGURE 5: GLOBAL ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOFTWARE, 2024-2032 (IN $ MILLION)
FIGURE 6: GLOBAL ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SERVICES, 2024-2032 (IN $ MILLION)
FIGURE 7: GLOBAL ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY HARDWARE, 2024-2032 (IN $ MILLION)
FIGURE 8: GLOBAL ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, 2023 & 2032 (IN %)
FIGURE 9: GLOBAL ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY NATURAL LANGUAGE PROCESSING,
2024-2032 (IN $ MILLION)
FIGURE 10: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY QUERYING METHOD, 2024-2032 (IN $ MILLION)
FIGURE 11: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY CONTEXT AWARE PROCESSING, 2024-2032 (IN $ MILLION)
FIGURE 12: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY DEEP LEARNING, 2024-2032 (IN $ MILLION)
FIGURE 13: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY TYPE, 2023 & 2032 (IN %)
FIGURE 14: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY ROBOT-ASSISTED SURGERY, 2024-2032 (IN $ MILLION)
FIGURE 15: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY VIRTUAL NURSING ASSISTANT, 2024-2032 (IN $ MILLION)
FIGURE 16: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY ADMINISTRATIVE WORKFLOW ASSISTANCE, 2024-2032 (IN $
MILLION)
FIGURE 17: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY FRAUD DETECTION, 2024-2032 (IN $ MILLION)
FIGURE 18: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY DOSAGE ERROR REDUCTION, 2024-2032 (IN $ MILLION)
FIGURE 19: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY CLINICAL TRIAL PARTICIPANT IDENTIFIER, 2024-2032 (IN $
MILLION)
FIGURE 20: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY PRELIMINARY DIAGNOSIS, 2024-2032 (IN $ MILLION)
FIGURE 21: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY OTHER TYPES, 2024-2032 (IN $ MILLION)
FIGURE 22: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY INDUSTRY VERTICAL, 2023 & 2032 (IN %)
FIGURE 23: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY HEALTHCARE PROVIDERS, 2024-2032 (IN $ MILLION)
FIGURE 24: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES, 2024-2032 (IN
$ MILLION)
FIGURE 25: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY PAYERS, 2024-2032 (IN $ MILLION)
FIGURE 26: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY ACOS AND MCOS, 2024-2032 (IN $ MILLION)
FIGURE 27: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY PATIENTS, 2024-2032 (IN $ MILLION)
FIGURE 28: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET, BY REGIONAL OUTLOOK, 2023 & 2032 (IN %)
FIGURE 29: UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 30: CANADA ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 31: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 32: UNITED KINGDOM ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 33: FRANCE ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 34: ITALY ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 35: SPAIN ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 36: NETHERLANDS ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 37: REST OF EUROPE ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 38: CHINA ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 39: JAPAN ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 40: INDIA ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 41: SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 42: AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE
(AI) IN HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 43: ASEAN COUNTRIES ARTIFICIAL INTELLIGENCE (AI)
IN HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 44: REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE
(AI) IN HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 45: BRAZIL ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 46: MEXICO ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 47: REST OF LATIN AMERICA ARTIFICIAL INTELLIGENCE
(AI) IN HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 48: UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE
(AI) IN HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 49: SAUDI ARABIA ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 50: TURKEY ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 51: SOUTH AFRICA ARTIFICIAL INTELLIGENCE (AI) IN
HEALTHCARE MARKET 2024-2032 (IN $ MILLION)
FIGURE 52: REST OF MIDDLE EAST & AFRICA ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $ MILLION)