Market by Solution, Technology, Type, Industry Vertical, and Country Outlook | Forecast 2024-2032
Triton Market Research’s report estimates the Europe artificial intelligence (AI) in healthcare market to attain value growth at a CAGR of 37.02% over the forecasting period 2024-2032.
The countries evaluated in this region are:
• United
Kingdom
• Germany
• France
• Italy
•
Spain
• Netherlands
• Rest of Europe
European investment in digital
health is experiencing growth, notably in diagnostics, clinical decision
support, and provider software. Although fundraising has slowed down, companies
securing funds tend to demonstrate strength, reflecting a robust ecosystem. The
advancement of AI has significantly fueled interest in diverse healthcare
applications, such as diagnostics and clinical decision support.
Germany secures the highest share in the AI in healthcare market. Berlin stands as a hub for
artificial intelligence companies, with Munich, Hamburg, and Frankfurt
following suit. Despite witnessing a burgeoning interest in AI within the
healthcare sector, its development remains in its early stages. This growth in
Germany can be attributed to the presence of key industry players like IBM
Corporation and Siemens Healthineers, alongside the notable contributions from
numerous startups. One such example is XBIRD, headquartered in Berlin, which
leverages artificial intelligence to derive insights from patient data,
offering tailored treatment recommendations.
The United Kingdom is a prominent
market for AI in healthcare within Europe, similar to the United States. This
is propelled by the substantial presence of pharmaceutical companies and the
global demand for UK pharmaceutical exports. Various government initiatives
further bolster this demand. Notably, among the many pharmaceutical companies,
GlaxoSmithKline Plc emerges as a significant driver of the demand for AI
solutions.
Artificial intelligence (AI)
harnesses Natural Language Processing (NLP) algorithms to comprehend and
produce human language. In healthcare, NLP optimizes operations, facilitates
diagnoses, forecasts results, and tailors treatments. By analyzing medical reports
and clinical notes, NLP converts disorganized medical data into a coherent
structure. As a result, NLP systems expedite tasks like patient documentation
and deciphering significant details from unstructured language, thereby
enhancing efficiency and extracting valuable insights.
The market’s growth is determined based on technology, type,
solution, and industry vertical. The technology section further includes natural language
processing, context aware processing, deep learning, and querying methods.
The notable companies in the market consist of GE Healthcare,
Google LLC, IBM Corporation, Koninklijke Philips NV, and Intel Corporation.
Philips, officially known as
Koninklijke Philips NV, stands as a versatile technology entity, delving into
the realms of medical systems and consumer electronics. Its array of offerings
spans diagnostic imaging, therapeutic care, monitoring, and analytics, among
others. In addition to medical systems, Philips provides a variety of consumer
products ranging from mother and childcare to personal and oral healthcare
items. With a global footprint spanning North America, Europe, and
Asia-Pacific, Philips is headquartered in Eindhoven, North Brabant,
Netherlands.
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 Europe 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 Europe artificial intelligence (AI) in healthcare market’s growth during the upcoming years
Want to get specific insights? Our team of
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VIEW REPORT1. EUROPE
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. EUROPE
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET - BY SOLUTION
3.1. SOFTWARE
3.2. SERVICES
3.3. HARDWARE
4. EUROPE
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. EUROPE
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. EUROPE
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. EUROPE
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET – BY COUNTRY OUTLOOK
7.1. GERMANY
7.1.1. GERMANY
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.2. UNITED
KINGDOM
7.2.1. UNITED
KINGDOM ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST &
PROSPECTS
7.3. FRANCE
7.3.1. FRANCE
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.4. ITALY
7.4.1. ITALY
MARKET FORECAST & PROSPECTS
7.5. SPAIN
7.5.1. SPAIN
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.6. NETHERLANDS
7.6.1. NETHERLANDS
ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST & PROSPECTS
7.7. REST
OF EUROPE
7.7.1. REST
OF EUROPE 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: EUROPE ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY OUTLOOK, HISTORICAL YEARS,
2020-2023 (IN $ MILLION)
TABLE 2: EUROPE 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: EUROPE ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION, 2024-2032 (IN $ MILLION)
TABLE 7: EUROPE ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, 2024-2032 (IN $ MILLION)
TABLE 8: EUROPE ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TYPE, 2024-2032 (IN $ MILLION)
TABLE 9: EUROPE ARTIFICIAL
INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY INDUSTRY VERTICAL, 2024-2032 (IN $
MILLION)
TABLE 10: EUROPE 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: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOLUTION, 2023
& 2032 (IN %)
FIGURE
5: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOFTWARE,
2024-2032 (IN $ MILLION)
FIGURE
6: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SERVICES,
2024-2032 (IN $ MILLION)
FIGURE
7: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY HARDWARE,
2024-2032 (IN $ MILLION)
FIGURE
8: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, 2023
& 2032 (IN %)
FIGURE
9: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY NATURAL LANGUAGE
PROCESSING, 2024-2032 (IN $ MILLION)
FIGURE
10: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY QUERYING
METHOD, 2024-2032 (IN $ MILLION)
FIGURE
11: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY CONTEXT AWARE
PROCESSING, 2024-2032 (IN $ MILLION)
FIGURE
12: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY DEEP LEARNING,
2024-2032 (IN $ MILLION)
FIGURE
13: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TYPE, 2023
& 2032 (IN %)
FIGURE
14: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ROBOT-ASSISTED
SURGERY, 2024-2032 (IN $ MILLION)
FIGURE
15: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY VIRTUAL
NURSING ASSISTANT, 2024-2032 (IN $ MILLION)
FIGURE
16: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ADMINISTRATIVE
WORKFLOW ASSISTANCE, 2024-2032 (IN $ MILLION)
FIGURE
17: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY FRAUD
DETECTION, 2024-2032 (IN $ MILLION)
FIGURE
18: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY DOSAGE ERROR
REDUCTION, 2024-2032 (IN $ MILLION)
FIGURE
19: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY CLINICAL TRIAL
PARTICIPANT IDENTIFIER, 2024-2032 (IN $ MILLION)
FIGURE
20: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PRELIMINARY
DIAGNOSIS, 2024-2032 (IN $ MILLION)
FIGURE
21: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OTHER TYPES,
2024-2032 (IN $ MILLION)
FIGURE
22: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY INDUSTRY
VERTICAL, 2023 & 2032 (IN %)
FIGURE
23: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY HEALTHCARE
PROVIDERS, 2024-2032 (IN $ MILLION)
FIGURE
24: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PHARMACEUTICAL
AND BIOTECHNOLOGY COMPANIES, 2024-2032 (IN $ MILLION)
FIGURE
25: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PAYERS,
2024-2032 (IN $ MILLION)
FIGURE
26: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ACOS AND MCOS,
2024-2032 (IN $ MILLION)
FIGURE
27: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PATIENTS,
2024-2032 (IN $ MILLION)
FIGURE
28: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY
OUTLOOK, 2023 & 2032 (IN %)
FIGURE
29: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $
MILLION)
FIGURE
30: UNITED KINGDOM ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032
(IN $ MILLION)
FIGURE
31: FRANCE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $
MILLION)
FIGURE
32: ITALY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $
MILLION)
FIGURE
33: SPAIN ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN $
MILLION)
FIGURE
34: NETHERLANDS ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032 (IN
$ MILLION)
FIGURE
35: REST OF EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET 2024-2032
(IN $ MILLION)