市場調査レポート
商品コード
1410670

欧州のAI (人工知能)・ML (機械学習) 医療機器市場の分析・予測 (2022-2032年)

Europe Artificial Intelligence/Machine Learning Medical Device Market: Analysis and Forecast, 2022-2032

出版日: | 発行: BIS Research | ページ情報: 英文 106 Pages | 納期: 1~5営業日

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欧州のAI (人工知能)・ML (機械学習) 医療機器市場の分析・予測 (2022-2032年)
出版日: 2024年01月19日
発行: BIS Research
ページ情報: 英文 106 Pages
納期: 1~5営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

欧州のAI (人工知能)・ML (機械学習) 医療機器の市場規模は、2022年の10億1,000万米ドルから、予測期間中は22.95%のCAGRで推移し、2032年には79億3,000万米ドルの規模に成長すると予測されています。

同市場の成長は、AIソリューションを提供する企業のプレゼンス、放射線および心臓病の分野での需要の増加、ウェアラブルセンサーのニーズの急増、多くの政府イニシアティブなど、さまざまな要因によって牽引されています。

主要市場統計
予測期間 2022-2032年
2022年評価 10億1,000万米ドル
2032年予測 79億3,000万米ドル
CAGR 22.95%

欧州のAI (人工知能)・ML (機械学習) 医療機器の市場は、医療分野における先端技術の統合に後押しされ、大きな成長を遂げています。AI・MLソリューションを提供する企業の広範なエコシステムが、地域全体の医療機器のイノベーションを促進しています。医療画像、診断、個別化医療におけるAI・ML用途の需要が高まっています。特に放射線および心臓の分野ではAI・MLの採用が大幅に増加しており、診断精度の向上と治療計画の立案に繋がっています。また、ウェアラブルセンサーの普及も市場拡大に寄与しています。さらに、ヘルスケアへのAI・ML技術の導入を促進することを目的とした欧州各国政府の取り組みも、この市場の成長を促進する重要な要因となっています。技術の進歩とヘルスケアイノベーションへのコミットメントにより、欧州のAI・ML医療機器市場は、医療診断と患者ケアの再形成において継続的な進化を遂げる態勢を整えています。

当レポートでは、欧州のAI (人工知能)・ML (機械学習) 医療機器の市場を調査し、市場概要、市場成長への各種影響因子の分析、技術・特許の動向、製品ベンチマーキング、法規制環境、市場規模の推移・予測、各種区分・主要国別の詳細分析、競合情勢、主要企業の分析などをまとめています。

市場の分類

セグメンテーション1:国別

  • ドイツ
  • 英国
  • フランス
  • イタリア
  • スペイン
  • その他

目次

エグゼクティブサマリー

調査範囲

調査手法

第1章 市場

  • 世界市場の展望
    • 製品の定義
    • 包含基準と除外基準
    • 主な調査結果
    • 市場シナリオ
  • 業界の展望
    • 市場概要
    • 主要動向
    • 機会の評価
    • 事業モデル
    • 主要企業への推奨事項
    • 特許分析
    • 資金調達シナリオ
    • 製品ベンチマーキング
    • エンドユーザーの認識
  • COVID-19によるAI・ML医療機器への影響
  • 事業力学
    • 影響分析
    • 事業促進要因
    • 事業上の制約
    • 事業機会

第2章 欧州

  • 欧州のAI・ML医療機器市場
    • 規制の枠組み
    • 技術の導入
    • 主要調査結果・機会の評価
    • 市場力学
    • 市場規模・予測

第3章 市場:競合ベンチマーキング・企業プロファイル

  • 競合ベンチマーキング
    • 主要な戦略と展開
  • 企業プロファイル
    • CellaVision AB
    • Koninklijke Philips N.V.
    • Medtronic plc
    • Siemens Healthineers AG
  • 企業スナップショット
    • AI4MedImaging Medical Solutions S.A.
    • AZmed SAS
    • Smart Soft Healthcare AD
図表

List of Figures

  • Figure 1: Artificial Intelligence/Machine Learning Medical Device Market, Healthcare Workflow on Introduction of AI/ML-Enabled Medical Devices
  • Figure 2: Artificial Intelligence/Machine Learning Medical Device Market, Impact Analysis
  • Figure 3: Artificial Intelligence/Machine Learning Medical Device Market (by Region), $Million, 2022 and 2032
  • Figure 4: Artificial Intelligence/Machine Learning Medical Device Market: Research Methodology
  • Figure 5: Primary Research Methodology
  • Figure 6: Bottom-Up Approach (Segment-Wise Analysis)
  • Figure 7: Top-Down Approach (Segment-Wise Analysis)
  • Figure 8: Artificial Intelligence/Machine Learning Medical Device Market Size and Growth Potential (Realistic Growth Scenario), $Million, 2021-2032
  • Figure 9: Artificial Intelligence/Machine Learning Medical Device Market Size and Growth Potential (Optimistic Growth Scenario), $Million, 2021-2032
  • Figure 10: Artificial Intelligence/Machine Learning Medical Device Market Size and Growth Potential (Pessimistic Growth Scenario), $Million, 2021-2032
  • Figure 11: Artificial Intelligence/Machine Learning Medical Device Market, Relevancy of AI in Healthcare
  • Figure 12: Artificial Intelligence/Machine Learning Medical Device Market, AI's Role in Assisting the Various Stakeholders in Healthcare Settings
  • Figure 13: Artificial Intelligence/Machine Learning Medical Device Market, Different Types of AI/ML Algorithms in Healthcare
  • Figure 14: Artificial Intelligence/Machine Learning Medical Device Market Key Trends, Market Shift, 2022-2032
  • Figure 15: Artificial Intelligence/Machine Learning Medical Device Market, Changes in Traditional Healthcare Business Models due to Integration of AI in Medical Devices
  • Figure 16: Artificial Intelligence/Machine Learning Medical Device Market, Recommendations for Key Players
  • Figure 17: Artificial Intelligence/Machine Learning Medical Device Market, Patent Analysis (by Country), January 2018-January 2023
  • Figure 18: Artificial Intelligence/Machine Learning Medical Device Market, Patent Analysis (by Year), January 2018-January 2023
  • Figure 19: Artificial Intelligence/Machine Learning Medical Device Market Product Benchmarking
  • Figure 20: Artificial Intelligence/Machine Learning Medical Device Market, End User Perception
  • Figure 21: General Procedure of Artificial Intelligence (AI)-Based Applications to Identify COVID-19 Symptoms
  • Figure 22: Artificial Intelligence/Machine Learning Medical Device Market, Impact Analysis
  • Figure 23: Diverse Range of AI Applications in Medical Field
  • Figure 24: Regulatory Approvals for AI-Enabled Solutions, 2019-2022
  • Figure 25: Artificial Intelligence/Machine Learning Medical Device Market, Applications of Wearable Sensors in Healthcare
  • Figure 26: Artificial Intelligence/Machine Learning Medical Device Market Share (by Region), 2022-2032
  • Figure 27: Artificial Intelligence/Machine Learning Medical Device Market, Number of CE Marked AI/ML-Enabled Medical Devices, 2015-2019
  • Figure 28: Medical Artificial Intelligence/Machine Learning Medical Device Market Guidelines for Determining the Trustworthiness of an AI-Enabled Device as per EU Standards
  • Figure 29: Europe Artificial Intelligence/Machine Learning Medical Device Market, Incremental Opportunity (by Country), $Million, 2022-2032
  • Figure 30: Europe Artificial Intelligence/Machine Learning Medical Device Market, $Million, 2021-2032
  • Figure 31: Europe Artificial Intelligence/Machine Learning Medical Device Market (by Country), % Share, 2021 and 2032
  • Figure 32: Germany Artificial Intelligence/Machine Learning Medical Device Market, $Million, 2021-2032
  • Figure 33: France Artificial Intelligence/Machine Learning Medical Device Market, $Million, 2021-2032
  • Figure 34: Italy Artificial Intelligence/Machine Learning Medical Device Market, $Million, 2021-2032
  • Figure 35: U.K. Artificial Intelligence/Machine Learning Medical Device Market, $Million, 2021-2032
  • Figure 36: Spain Artificial Intelligence/Machine Learning Medical Device Market, $Million, 2021-2032
  • Figure 37: Rest-of-Europe Artificial Intelligence/Machine Learning Medical Device Market, $Million, 2021-2032
  • Figure 38: Artificial Intelligence/Machine Learning Medical Device Number of Key Developments and Strategies, January 2018-January 2023
  • Figure 39: Regulatory and Legal Activities, January 2018-January 2023
  • Figure 40: Funding Activities, January 2018-January 2023
  • Figure 41: New Offerings, January 2018-January 2023
  • Figure 42: Mergers and Acquisitions, January 2018-January 2023
  • Figure 43: Partnerships, Alliances, and Business Expansions, January 2018-January 2023
  • Figure 44: CellaVision AB: Overall Product Portfolio
  • Figure 45: CellaVision AB: Overall Financials, $Million, 2019-2021
  • Figure 46: CellaVision AB: Net Revenue (by Region), $Million, 2019-2021
  • Figure 47: CellaVision AB: R&D Expenditure, $Million, 2019-2021
  • Figure 48: Koninklijke Philips N.V.: Overall Product Portfolio
  • Figure 49: Koninklijke Philips N.V.: Overall Financials, $Million, 2019-2021
  • Figure 50: Koninklijke Philips N.V.: Net Revenue (by Segment), $Million, 2019-2021
  • Figure 51: Koninklijke Philips N.V.: Revenue (by Region), $Million, 2019-2021
  • Figure 52: Koninklijke Philips N.V.: R&D Expenditure, $Million, 2019-2021
  • Figure 53: Medtronic plc: Overall Product Portfolio
  • Figure 54: Medtronic plc: Overall Financials, $Million, 2020-2022
  • Figure 55: Medtronic plc: Net Revenue (by Segment), $Million, 2020-2022
  • Figure 56: Medtronic plc: Net Revenue (by Region), $Million, 2020-2022
  • Figure 57: Medtronic plc: R&D Expenditure, $Million, 2020-2022
  • Figure 58: Siemens Healthineers AG: Overall Product Portfolio
  • Figure 59: Siemens Healthineers AG: Overall Financials, $Million, 2020-2022
  • Figure 60: Siemens Healthineers AG: Net Revenue (by Segment), $Million, 2020-2022
  • Figure 61: Siemens Healthineers AG: Net Revenue (by Region), $Million, 2020-2022
  • Figure 62: Siemens Healthineers AG: R&D Expenditure, $Million, 2020-2022
  • Figure 63: AI4MedImaging Medical Solutions S.A.: Overall Product Portfolio
  • Figure 64: AZmed SAS: Overall Product Portfolio
  • Figure 65: Smart Soft Healthcare AD: Overall Product Portfolio

List of Tables

  • Table 1: Artificial Intelligence/Machine Learning Medical Device Market, Key Developments Analysis, January 2018-February 2023
  • Table 2: Key Questions Answered in the Report
  • Table 3: Parameters for Realistic, Optimistic, and Pessimistic Growth Scenarios in Artificial Intelligence/Machine Learning Medical Device Market
  • Table 4: Funding Scenarios in Artificial Intelligence/Machine Learning Medical Device Market, January 2018-January 2023
  • Table 5: Artificial Intelligence/Machine Learning Medical Device Market, Applications of AI-Enabled Medical Devices in Several Clinical Areas
  • Table 6: Europe Artificial Intelligence/Machine Learning Medical Device Market, Impact Analysis
目次
Product Code: BHD1783SS

“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 Period2022 - 2032
2022 Evaluation$1.01 Billion
2032 Forecast$7.93 Billion
CAGR22.95%

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
      • 3.3.3.3. Key Developments