Asia-Pacific Artificial Intelligence/ Machine Learning Medical Device Market: Analysis and Forecast, 2022-2032
아시아태평양의 인공지능/기계학습 의료기기 시장 규모는 2032년까지 68억 90만 달러에 달할 것으로 예측되고 있습니다.
| 주요 시장 통계 |
| 예측 기간 |
2022-2032년 |
| 2022년 평가 |
6억 8,190만 달러 |
| 2032년 예측 |
68억 90만 달러 |
| CAGR |
25.86% |
아시아태평양의 인공지능/기계학습 의료기기 시장은 2022년에 6억 8,190만 달러로 평가되며, 2032년에는 68억 90만 달러에 달할 것으로 예측되고 있으며, 예측 기간인 2022-2032 매년 CAGR은 25.86%에 달할 것으로 보이고 있습니다. 이 시장은 AI 솔루션을 제공하는 기업의 에코시스템이 충실한 것, 방사선과 및 순환기과에서의 수요가 증가하고 있는 것, 웨어러블 센서의 요구가 높아지고 있는 것, 정부의 구상이 다수 있는 것 등의 요인에 의해 성장을 달성하고 있습니다.
급속한 고령화와 함께 만성질환의 유병률이 상승하고 있는 것이 AI와 ML을 탑재한 첨단 의료기기에 대한 수요를 촉진하고 있습니다. 이 기술은 진단 정도, 치료 계획, 환자 케어를 강화하고, 헬스케어를 보다 효율적으로 이용하기 쉬운 것으로 합니다. APAC 지역의 국가는 헬스케어 인프라와 연구에 적극적으로 투자하고 있으며, AI/ML 의료기기에 유리한 환경을 조성하고 있습니다. 또한 방대하고 다양한 환자 집단의 존재는 데이터 주도형 헬스케어 솔루션에 최적의 기회가 됩니다. APAC AI/ML 의료기기 시장이 계속 확대하는 가운데 테크놀러지 기업과 헬스케어 프로바이더의 협업이 증가하고, 최첨단 의료기기의 개발이 촉진되어 환자 결과의 개선이 추진되고 있습니다.
아시아태평양의 인공지능/기계학습 의료기기 시장에 대해 조사했으며, 시장의 개요와 국가별 동향 및 시장에 참여하는 기업 개요 등을 제공하고 있습니다.
목차
주요 요약
조사 범위
조사 방법
제1장 시장
- 시장 전망
- 업계의 전망
- 인공지능/기계학습 의료기기에 대한 COVID-19의 영향
- 비즈니스 역학
제2장 인공지능/기계학습 의료기기 시장(지역별)
- 아시아태평양의 인공지능/기계학습 의료기기 시장
- 규제 프레임워크
- 기술 도입
- 주요 조사 결과와 기회 평가
- 시장 역학
- 시장 규모와 예측
- 아시아태평양의 인공지능/기계학습 의료기기 시장(국가별)
제3장 시장 - 경쟁 벤치마킹과 기업 개요
- 경쟁 벤치마킹
- 기업 개요
- Canon Inc.
- Shanghai United Imaging Healthcare Co., Ltd.
- Ever Fortune.AI Co., Ltd.
- MedMind Technology Co., Ltd.
- AIRS Medical Inc.
- Annalise-AI
KSA
The Asia-Pacific Artificial Intelligence/ Machine Learning Medical Device Market Expected to Reach $6,800.9 Million by 2032
Introduction to Asia-Pacific Artificial Intelligence/Machine Learning Medical Device Market
| KEY MARKET STATISTICS |
|---|
| Forecast Period | 2022 - 2032 |
| 2022 Evaluation | $681.9 Million |
| 2032 Forecast | $6,800.9 Million |
| CAGR | 25.86% |
The Asia-Pacific artificial intelligence/machine learning medical device market was valued at $681.9 million in 2022 and is anticipated to reach $6,800.9 million by 2032, witnessing a CAGR of 25.86% during the forecast period 2022-2032. The market experiences growth due to factors including a substantial ecosystem of companies providing AI solutions, increasing demand in radiology and cardiology, a rising need for wearable sensors, and numerous government initiatives.
Market Introduction
The Asia-Pacific (APAC) Artificial Intelligence and Machine Learning (AI/ML) medical device market is witnessing a significant surge in growth and innovation. This dynamic region is becoming a focal point for the development and adoption of AI and ML technologies in the healthcare sector.
The increasing prevalence of chronic diseases, coupled with a rapidly aging population, is driving the demand for advanced medical devices powered by AI and ML. These technologies enhance diagnostic accuracy, treatment planning, and patient care, making healthcare more efficient and accessible. Countries in the APAC region are actively investing in healthcare infrastructure and research, fostering a favorable environment for AI/ML medical devices. Moreover, the presence of a vast and diverse patient population provides a unique opportunity for data-driven healthcare solutions. As the APAC AI/ML medical device market continues to expand, collaborations between technology companies and healthcare providers are on the rise, facilitating the development of cutting-edge medical devices and driving improvements in patient outcomes.
Market Segmentation:
Segmentation 1: by Country
- China
- Japan
- India
- Australia
- South Korea
- Rest-of-Asia-Pacific
How can this report add value to an organization?
Growth/Marketing Strategy: The APAC 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 APAC artificial intelligence/machine learning medical device market is highly fragmented, including established companies and startups. Key players in the APAC 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 Market Players and Competition Synopsis
The companies that are profiled have been selected based on inputs gathered from primary experts and analyzing company coverage, product portfolio, and market penetration.
Some prominent names established in this market are:
- Canon Inc.
- Ever Fortune.AI Co., Ltd.
- AIRS Medical Inc.
- Annalise-AI
Table of Contents
Executive Summary
Scope of the Study
Research Methodology
1 Markets
- 1.1 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)
- 1.4.4.3 Increasing Number of Medical Imaging Equipment Coupled with Relatively Lower Adoption of AI-enabled Medical Devices Presents Opportunity for Growth in Regions such as Asia-Pacific
2 Artificial Intelligence/Machine Learning Medical Device Market (by Region)
- 2.1 Asia-Pacific 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
- 2.1.5 Market Size and Forecast
- 2.1.5.1 Asia-Pacific Artificial Intelligence/Machine Learning Medical Device Market (by Country)
- 2.1.5.1.1 Japan
- 2.1.5.1.1.1 Market Dynamics
- 2.1.5.1.1.2 Market Size and Forecast
- 2.1.5.1.2 China
- 2.1.5.1.2.1 Market Dynamics
- 2.1.5.1.2.2 Market Size and Forecast
- 2.1.5.1.3 Australia
- 2.1.5.1.3.1 Market Dynamics
- 2.1.5.1.3.2 Market Size and Forecast
- 2.1.5.1.4 South Korea
- 2.1.5.1.4.1 Market Dynamics
- 2.1.5.1.4.2 Market Size and Forecast
- 2.1.5.1.5 India
- 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-Asia-Pacific
- 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 Canon Inc.
- 3.2.1.1 Company Overview
- 3.2.1.2 Role of Canon Inc. in the Artificial Intelligence/Machine Learning Medical Device Market
- 3.2.1.3 Financials
- 3.2.1.4 Analyst Perception
- 3.2.2 Shanghai United Imaging Healthcare Co., Ltd.
- 3.2.2.1 Company Overview
- 3.2.2.2 Role of Shanghai United Imaging Healthcare Co., Ltd. in the Artificial Intelligence/Machine Learning Medical Device Market
- 3.2.2.3 Product Portfolio
- 3.2.2.4 Analyst Perception
- 3.2.3 Ever Fortune.AI Co., Ltd.
- 3.2.3.1 Company Overview
- 3.2.3.2 Role of Ever Fortune.AI Co., Ltd. in the Artificial Intelligence/Machine Learning Medical Device Market
- 3.2.4 MedMind Technology Co., Ltd.
- 3.2.4.1 Company Overview
- 3.2.4.2 Role of MedMind Technology Co., Ltd. in the Artificial Intelligence/Machine Learning Medical Device Market
- 3.2.5 AIRS Medical Inc.
- 3.2.5.1 Company Overview
- 3.2.5.2 Role of AIRS Medical Inc. in the Artificial Intelligence/Machine Learning Medical Device Market
- 3.2.5.3 Key Developments
- 3.2.6 Annalise-AI
- 3.2.6.1 Company Overview
- 3.2.6.2 Role of Annalise-AI in the Artificial Intelligence/Machine Learning Medical Device Market
- 3.2.6.3 Key Developments
