Market by Solution, Technology, Type, Industry Vertical, and Country Outlook | Forecast 2024-2032
Triton’s research report infers the Asia-Pacific artificial intelligence (AI) in healthcare market to witness growth at a CAGR of 38.39% over the forecast years 2024-2032.
The countries considered in this region include:
•
China
•
Japan
•
South Korea
•
India
•
ASEAN Countries
• Australia
& New Zealand
•
Rest of Asia-Pacific
Government and private sector investments, along with the emergence of startups, are pivotal in fueling the Asia-Pacific market’s expansion. Additionally, advancements in artificial intelligence technology within healthcare further support this growth trajectory. In the region, artificial intelligence in healthcare primarily finds widespread adoption and application in various aspects, notably precision medicine and genome testing.
China leads the highest share in the AI in healthcare market. The growing Chinese market is
propelled by government backing and a surge in AI integration within the
healthcare domain. Radiologists in state-run hospitals are increasingly
employing AI tools to augment medical diagnoses, particularly in the detection
of lung cancer lesions and nodules. This AI integration has notably slashed the
time required for generating a Computer Tomography (CT) scan to a mere 5
seconds.
Furthermore, investment in AI for
medical purposes has witnessed a remarkable uptick. Over the years, the Chinese
government has actively promoted the utilization of big data in healthcare,
alongside policies aimed at fostering AI advancements in the healthcare
industry. Hence, these factors are widening the overall scope of the artificial
intelligence in healthcare market.
Japan’s Cancer Research Institution
recently unveiled a set of guidelines and regulations for leveraging AI in the
field of precise cancer diagnosis and treatment. Initially proposed in 2017,
the National Cancer Center of Japan embarked on a collaborative effort with the
National Institute of Advanced Industrial Science & Technology to pioneer
an AI-based system for cancer diagnosis and treatment. This system utilizes AI
algorithms to sift through various data types, such as diagnostic imaging and genetic
profiles. Such initiatives have created several opportunities for Japanese AI
in healthcare market.
AI software encompasses programs and
operational data utilized by AI platforms, consisting of instructions or data.
It facilitates the emulation of intelligent behavior in computers with deep
learning software. This software is adept at genuine learning and identifying
patterns in digital representations like sounds and images. Notably, a
significant trend in healthcare AI involves developing software aimed at
detecting clinically significant pathologies in images, aiding physicians in
accurate diagnosis and treatment.
The market is segmented into solution, technology, type, and
industry vertical. The solution segment includes software, services, and
hardware.
The well-known companies listed in the market consist of Siemens
Healthineers AG, Oncora Medical, Stryker Corporation, and Recursion
Pharmaceuticals Inc.
Siemens Healthineers AG, a
subsidiary of Siemens AG, is a leading medical technology company specializing
in designing, developing, producing, and distributing diagnostic imaging
systems, clinical workflow solutions, and minimally invasive procedure systems.
Its extensive product range encompasses molecular imaging, X-ray, ultrasound,
computed tomography, magnetic resonance imaging, testing, point-of-care
testing, mobile C-arms, hybrid operating rooms, and angiography systems,
alongside enterprise and digital services. Siemens Healthineers operates across multiple regions, including
Asia-Pacific.
KEY DELIVERABLES OF THE REPORT:
●
Market CAGR during the forecasting years 2024-2032
●
Detailed data highlighting key insights, industry components, and
market strategies
●
Comprehensive information and estimation of the artificial intelligence (AI) in healthcare market revenue growth in the Asia-Pacific and its influence
on the parent market
●
In-depth study of forthcoming trends in consumer behavioral
patterns
●
A meticulous analysis of the competitive landscape and Porter’s
Five Forces
●
A wide-ranging study of factors that will challenge the APAC artificial intelligence (AI) in healthcare market’s growth during the upcoming years
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VIEW REPORT1. ASIA-PACIFIC
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. ASIA-PACIFIC
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - BY SOLUTION
3.1. SOFTWARE
3.2. SERVICES
3.3. HARDWARE
4. ASIA-PACIFIC
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. ASIA-PACIFIC
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. ASIA-PACIFIC
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. ASIA-PACIFIC
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET – BY COUNTRY OUTLOOK
7.1. CHINA
7.1.1. CHINA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.2. JAPAN
7.2.1. JAPAN
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.3. INDIA
7.3.1. INDIA
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.4. SOUTH
KOREA
7.4.1. SOUTH
KOREA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST &
PROSPECTS
7.5. AUSTRALIA
& NEW ZEALAND
7.5.1. AUSTRALIA
& NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST
& PROSPECTS
7.6. ASEAN
COUNTRIES
7.6.1. ASEAN
COUNTRIES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST &
PROSPECTS
7.7. REST
OF ASIA-PACIFIC
7.7.1. REST
OF ASIA-PACIFIC 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: ASIA-PACIFIC
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK,
HISTORICAL YEARS, 2020-2023 (IN $ MILLION)
TABLE 2: ASIA-PACIFIC
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY 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: ASIA-PACIFIC
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION, 2024-2032 (IN $
MILLION)
TABLE 7: ASIA-PACIFIC
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, 2024-2032 (IN
$ MILLION)
TABLE 8: ASIA-PACIFIC
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TYPE, 2024-2032 (IN $
MILLION)
TABLE 9: ASIA-PACIFIC
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY INDUSTRY VERTICAL,
2024-2032 (IN $ MILLION)
TABLE 10: ASIA-PACIFIC
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK,
2024-2032 (IN $ MILLION)
FIGURE
1: PORTER’S FIVE FORCES ANALYSIS
FIGURE
2: MARKET MATURITY ANALYSIS
FIGURE
3: VALUE CHAIN ANALYSIS
FIGURE
4: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION,
2023 & 2032 (IN %)
FIGURE
5: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOFTWARE,
2024-2032 (IN $ MILLION)
FIGURE
6: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SERVICES,
2024-2032 (IN $ MILLION)
FIGURE
7: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY HARDWARE,
2024-2032 (IN $ MILLION)
FIGURE
8: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY
TECHNOLOGY, 2023 & 2032 (IN %)
FIGURE
9: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY NATURAL
LANGUAGE PROCESSING, 2024-2032 (IN $ MILLION)
FIGURE
10: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY QUERYING
METHOD, 2024-2032 (IN $ MILLION)
FIGURE
11: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY CONTEXT
AWARE PROCESSING, 2024-2032 (IN $ MILLION)
FIGURE
12: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY DEEP
LEARNING, 2024-2032 (IN $ MILLION)
FIGURE
13: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TYPE, 2023
& 2032 (IN %)
FIGURE
14: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY
ROBOT-ASSISTED SURGERY, 2024-2032 (IN $ MILLION)
FIGURE
15: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY VIRTUAL
NURSING ASSISTANT, 2024-2032 (IN $ MILLION)
FIGURE
16: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY
ADMINISTRATIVE WORKFLOW ASSISTANCE, 2024-2032 (IN $ MILLION)
FIGURE
17: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY FRAUD
DETECTION, 2024-2032 (IN $ MILLION)
FIGURE
18: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY DOSAGE
ERROR REDUCTION, 2024-2032 (IN $ MILLION)
FIGURE
19: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY CLINICAL
TRIAL PARTICIPANT IDENTIFIER, 2024-2032 (IN $ MILLION)
FIGURE
20: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY
PRELIMINARY DIAGNOSIS, 2024-2032 (IN $ MILLION)
FIGURE
21: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OTHER TYPES,
2024-2032 (IN $ MILLION)
FIGURE
22: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY INDUSTRY
VERTICAL, 2023 & 2032 (IN %)
FIGURE
23: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY
HEALTHCARE PROVIDERS, 2024-2032 (IN $ MILLION)
FIGURE
24: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY
PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES, 2024-2032 (IN $ MILLION)
FIGURE
25: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PAYERS,
2024-2032 (IN $ MILLION)
FIGURE
26: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ACOS AND
MCOS, 2024-2032 (IN $ MILLION)
FIGURE
27: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY
PATIENTS, 2024-2032 (IN $ MILLION)
FIGURE
28: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY
OUTLOOK, 2023 & 2032 (IN %)
FIGURE
29: CHINA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $
MILLION)
FIGURE
30: JAPAN ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $
MILLION)
FIGURE
31: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $
MILLION)
FIGURE
32: SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN
$ MILLION)
FIGURE
33: AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE
MARKET 2024-2032 (IN $ MILLION)
FIGURE
34: ASEAN COUNTRIES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032
(IN $ MILLION)
FIGURE
35: REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET
2024-2032 (IN $ MILLION)