유럽의 AI(인공지능) 및 ML(머신러닝) 의료기기 시장 : 분석 및 예측(2022-2032년)
Europe Artificial Intelligence/Machine Learning Medical Device Market: Analysis and Forecast, 2022-2032
상품코드:1410670
리서치사:BIS Research
발행일:2024년 01월
페이지 정보:영문
라이선스 & 가격 (부가세 별도)
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한글목차
유럽의 AI(인공지능) 및 ML(머신러닝) 의료기기 시장 규모는 2022년 10억 1,000만 달러에서 예측 기간 동안 22.95%의 CAGR을 기록하며 2032년 79억 3,000만 달러 규모로 성장할 것으로 예상됩니다.
이 시장의 성장은 AI 솔루션을 제공하는 기업의 존재, 방사선 및 심장 질환 분야의 수요 증가, 웨어러블 센서에 대한 수요 급증, 많은 정부 이니셔티브 등 다양한 요인에 의해 주도되고 있습니다.
주요 시장 통계
예측 기간
2022-2032년
2022년 평가
10억 1,000만 달러
2032년 전망
79억 3,000만 달러
CAGR
22.95%
유럽의 인공지능(AI) 및 머신러닝(ML) 의료기기 시장은 의료 분야의 첨단 기술 통합에 힘입어 크게 성장하고 있으며, AI 및 ML 솔루션을 제공하는 광범위한 기업 생태계가 지역 내 의료기기 혁신을 촉진하고 있습니다. 의료 영상, 진단, 개인 맞춤형 의료 분야에서 AI/ML 활용에 대한 수요가 증가하고 있습니다. 특히 방사선 및 심장 분야에서 AI/ML의 도입이 크게 증가하여 진단 정확도 향상과 치료 계획 수립에 기여하고 있습니다. 또한, 웨어러블 센서의 보급도 시장 확대에 기여하고 있습니다. 또한, 헬스케어에 AI/ML 기술 도입을 촉진하기 위한 유럽 각국 정부의 노력도 이 시장의 성장을 촉진하는 중요한 요인으로 작용하고 있습니다. 기술 발전과 헬스케어 혁신에 대한 노력으로 유럽의 AI/ML 의료기기 시장은 의료 진단과 환자 치료를 재구성하는 데 있어 지속적인 진화를 이룰 준비가 되어 있습니다.
본 보고서는 유럽의 AI(인공지능) 및 ML(머신러닝) 의료기기 시장을 조사했으며, 시장 개요, 시장 성장에 영향을 미치는 각종 영향요인 분석, 기술·특허 동향, 제품 벤치마킹, 규제 환경, 시장 규모 추이 및 예측, 각종 부문별·주요 국가별 상세 분석, 경쟁 상황, 주요 기업 분석 등의 정보를 전해드립니다.
시장 분류
세분화 1: 국가별
독일
영국
프랑스
이탈리아
스페인
기타
목차
주요 요약
조사 범위
조사 방법
제1장 시장
세계 시장 전망
제품의 정의
포함 기준과 제외 기준
주요 조사 결과
시장 시나리오
업계 전망
시장 개요
주요 동향
기회 평가
사업 모델
주요 기업에 대한 추천사항
특허 분석
자금 조달 시나리오
제품 벤치마킹
최종사용자 인식
COVID-19에 의한 AI 및 ML 의료기기에 대한 영향
사업 역학
영향 분석
사업 촉진요인
사업상 제약
사업 기회
제2장 유럽
유럽의 AI 및 ML 의료기기 시장
규제 체계
기술의 도입
주요 조사 결과·기회 평가
시장 역학
시장 규모와 예측
제3장 시장 : 경쟁 벤치마킹과 기업 개요
경쟁 벤치마킹
주요 전략과 전개
기업 개요
CellaVision AB
Koninklijke Philips N.V.
Medtronic plc
Siemens Healthineers AG
기업 현황
AI4MedImaging Medical Solutions S.A.
AZmed SAS
Smart Soft Healthcare AD
ksm
영문 목차
영문목차
“The Europe Artificial Intelligence/Machine Learning Medical Device Market Expected to Reach $7.93 Billion by 2032.”
Introduction to Europe Artificial Intelligence/Machine Learning Medical Device Market
The Europe artificial intelligence/machine learning medical device market was valued at $1.01 billion in 2022 and is expected to reach $7.93 billion by 2032, witnessing a CAGR of 22.95% during the forecast period 2022-2032. The market is driven by various factors, including the extensive presence of companies providing AI solutions, increasing demand in radiology and cardiology sectors, a surge in the need for wearable sensors, and numerous government initiatives.
KEY MARKET STATISTICS
Forecast Period
2022 - 2032
2022 Evaluation
$1.01 Billion
2032 Forecast
$7.93 Billion
CAGR
22.95%
Market Introduction
The Europe market for Artificial Intelligence/Machine Learning (AI/ML) Medical Devices is experiencing significant growth, fueled by the integration of advanced technologies in the healthcare sector. A flourishing ecosystem of companies offering AI/ML solutions is driving innovation in medical devices across the region. Notably, there is a rising demand for AI/ML applications in medical imaging, diagnostics, and personalized medicine. The fields of radiology and cardiology are witnessing a substantial uptick in the adoption of AI/ML, leading to improved diagnostic precision and treatment planning. The increasing popularity of wearable sensors is also contributing to the market's expansion. Government initiatives across European countries aimed at promoting the incorporation of AI/ML technologies in healthcare are crucial factors fostering the growth of this market. With a commitment to technological advancements and healthcare innovation, the Europe AI/ML Medical Device Market is poised for continued evolution in reshaping medical diagnostics and patient care.
Market Segmentation
Segmentation 1: by Country
Germany
U.K.
France
Italy
Spain
Rest-of-Europe
How can this report add value to an organization?
Growth/Marketing Strategy: The Europe artificial intelligence/machine learning medical device market has seen major development by key players operating in the market, such as business expansion, partnership, collaboration, and joint ventures. Partnerships, alliances, business expansions, and regulatory activities accounted for the maximum number of key developments.
Competitive Strategy: The Europe artificial intelligence/machine learning medical device market is highly fragmented, including established companies and startups. Key players in the Europe artificial intelligence/machine learning medical device market analyzed and profiled in the study involve established and emerging players that offer different AI-enabled medical devices. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.
Key Companies Profiled:
CellaVision AB
Koninklijke Philips N.V.
Medtronic plc
Siemens Healthineers AG
AI4MedImaging Medical Solutions S.A.
AZmed SAS
Smart Soft Healthcare AD
Table of Contents
Executive Summary
Scope of the Study
Research Methodology
1. Markets
1.1. Global Market Outlook
1.1.1. Product Definition
1.1.2. Inclusion and Exclusion Criteria
1.1.3. Key Findings
1.1.4. Market Scenario
1.1.4.1. Realistic Growth Scenario
1.1.4.2. Optimistic Growth Scenario
1.1.4.3. Pessimistic/Conservative Growth Scenario
1.2. Industry Outlook
1.2.1. Market Overview
1.2.2. Key Trends
1.2.2.1. Updations of Government Regulations to Accommodate the Development and Regulation of AI-enabled SaMD
1.2.2.2. Most AI-Enabled Medical Devices Aid in Clinical Decision-Making but do not Provide the Final Diagnosis Themselves
1.2.2.3. Very Few AI-Enabled Medical Devices Have to Undergo the Rigorous PMA Process: Rest Get 510(k) Clearance
1.2.3. Opportunity Assessment
1.2.4. Business Models
1.2.5. Recommendations for Key Players
1.2.6. Patent Analysis
1.2.6.1. Awaited Technological Developments
1.2.6.2. Patent Filing Trend (by Country)
1.2.6.3. Patent Filing Trend (by Year)
1.2.7. Funding Scenario
1.2.8. Product Benchmarking
1.2.9. End User Perception
1.3. Impact of COVID-19 on the Artificial Intelligence/Machine Learning Medical Device
1.3.1. Pre-COVID-19 Phase
1.3.2. During COVID-19
1.3.2.1. Impact of COVID-19 on Clinical Settings and Clinical Decision-Making
1.3.3. Post-COVID-19 Phase
1.4. Business Dynamics
1.4.1. Impact Analysis
1.4.2. Business Drivers
1.4.2.1. Presence of a Large Ecosystem of Companies Offering AI Solutions Targeting the Diverse Range of Applications of AI in the Healthcare
1.4.2.2. Growing Demand in the Field of Radiology and Cardiology Increasing Adoption of AI-Enabled Solutions due to Their Ability to Shorten Waiting Times and Reduce Burden on Healthcare System
1.4.2.3. Growing Demand for Wearable Sensors to Increase Adoption of AI-Enabled Medical Devices for Home-Based Care
1.4.2.4. Large Number of Government Initiatives Advancing the Research and Development of AI-Enabled Medical Devices
1.4.3. Business Restraints
1.4.3.1. Lack of Transparency and Concerns around Data Sharing Leading to Cybersecurity Concerns and Hindering Adoption of AI in Healthcare
1.4.3.2. Challenges Related to Identification and Minimization of Bias in AI Algorithms Leading to Concerns Surrounding the Reliability of Diagnosis and Thus Hindering the Use of AI-Enabled Solutions
1.4.4. Business Opportunities
1.4.4.1. Applications across a Wide Range of Clinical Areas Present Opportunities for Further Research and Development
1.4.4.2. Potential of AI to Shorten Wait Times and Reduce Disease Burden on the Healthcare System, Especially in Low- and Middle-Income Countries (LMICs)
2. Europe
2.1. Europe Artificial Intelligence/Machine Learning Medical Device Market
2.1.1. Regulatory Framework
2.1.2. Technology Adoption
2.1.3. Key Findings and Opportunity Assessment
2.1.4. Market Dynamics
2.1.4.1. Impact Analysis
2.1.5. Market Sizing and Forecast
2.1.5.1. Europe Artificial Intelligence/Machine Learning Medical Device Market (by Country)
2.1.5.1.1. Germany
2.1.5.1.1.1. Market Dynamics
2.1.5.1.1.2. Market Size and Forecast
2.1.5.1.2. France
2.1.5.1.2.1. Market Dynamics
2.1.5.1.2.2. Market Size and Forecast
2.1.5.1.3. Italy
2.1.5.1.3.1. Market Dynamics
2.1.5.1.3.2. Market Size and Forecast
2.1.5.1.4. U.K.
2.1.5.1.4.1. Market Dynamics
2.1.5.1.4.2. Market Size and Forecast
2.1.5.1.5. Spain
2.1.5.1.5.1. Market Dynamics
2.1.5.1.5.2. Market Size and Forecast
2.1.5.1.6. Rest-of-Europe
2.1.5.1.6.1. Market Dynamics
2.1.5.1.6.2. Market Size and Forecast
3. Markets - Competitive Benchmarking & Company Profiles
3.1. Competitive Benchmarking
3.1.1. Key Strategies and Developments
3.1.1.1.1. Regulatory and Legal Activities
3.1.1.1.2. Funding Activities
3.1.1.1.3. New Offerings
3.1.1.1.4. Mergers and Acquisitions
3.1.1.1.5. Partnerships, Collaborations, and Business Expansions
3.2. Company Profiles
3.2.1. CellaVision AB
3.2.1.1. Company Overview
3.2.1.2. Role of CellaVision AB in the Artificial Intelligence/Machine Learning Medical Device Market
3.2.1.3. Financials
3.2.1.4. Analyst Perception
3.2.2. Koninklijke Philips N.V.
3.2.2.1. Company Overview
3.2.2.2. Role of Koninklijke Philips N.V. in the Artificial Intelligence/Machine Learning Medical Device Market
3.2.2.3. Financials
3.2.2.4. Key Developments
3.2.2.5. Analyst Perception
3.2.3. Medtronic plc
3.2.3.1. Company Overview
3.2.3.2. Role of Medtronic plc in the Artificial Intelligence/Machine Learning Medical Device Market
3.2.3.3. Financials
3.2.3.4. Recent Developments
3.2.3.5. Analyst Perspectives
3.2.4. Siemens Healthineers AG
3.2.4.1. Company Overview
3.2.4.2. Role of Siemens Healthineers AG in the Artificial Intelligence/Machine Learning Medical Device Market
3.2.4.3. Financials
3.2.4.4. Analyst Perception
3.3. Company Snapshots
3.3.1. AI4MedImaging Medical Solutions S.A.
3.3.1.1. Company Overview
3.3.1.2. Role of AI4MedImaging Medical Solutions S.A. in the Artificial Intelligence/Machine Learning Medical Device Market
3.3.1.3. Key Developments
3.3.2. AZmed SAS
3.3.2.1. Company Overview
3.3.2.2. Role of AZmed SAS in the Artificial Intelligence/Machine Learning Medical Device Market
3.3.2.3. Key Developments
3.3.3. Smart Soft Healthcare AD
3.3.3.1. Company Overview
3.3.3.2. Role of Smart Soft Healthcare AD in the Artificial Intelligence/Machine Learning Medical Device Market
