세계의 임상·분자진단용 AI 시장 규모는 2024년 26억 달러에서 예측 기간 중 CAGR 27.6%로 추이하며, 2029년말에는 89억 달러 규모로 성장할 것으로 예측됩니다.
세계의 임상·분자진단용 AI 시장을 조사했으며, 시장 개요, 시장 영향요인 및 시장 기회 분석, 법규제 환경, 신규 기술 및 기술개발의 동향, 시장 규모 추이·예측, 각종 구분·지역별 상세 분석, 경쟁 구도, 주요 기업의 개요 등을 정리하여 전해드립니다.
목차
제1장 개요
시장 전망
조사 범위
시장 개요
제2장 시장 개요
개요
AI 역사
기계학습의 부상
기계학습 vs 딥러닝 vs 뉴럴 네트워크
기계학습의 유형
ML 알고리즘의 이점과 결점
헬스케어용 AI
임상 진단용 AI
분자진단용 AI
제3장 시장 역학
개요
시장 성장 촉진요인
AI 헬스 분야에 대한 투자
만성질환 및 감염증의 증가
기술의 진보
맞춤형 의료의 수요
시장 성장 억제요인
AI 기반 기술의 도입에 대한 소극성
데이터 보안
규제상 과제
시장 기회
AI 탑재 소프트웨어
개발도상 시장에서의 미개척 기회
제4장 규제 구조
제5장 신규 기술과 개발
최신 기술·개발
기계학습 알고리즘
딥러닝
생성형 AI
자연언어처리(NLP)
게놈 AI
클라우드 기반 솔루션
제6장 시장 세분화 분석
시장 동향
세분화 내역
임상·분자진단용 AI : 세계 시장
분자진단
임상 진단
시장 분석 : 컴포넌트별
소프트웨어
서비스
하드웨어
지역적 내역
시장 분석 : 지역별
북미
유럽
아시아태평양
기타 지역
제7장 경쟁 정보
제8장 임상·분자진단용 AI의 지속가능성 : ESG 관점
환경의 지속가능성
환경에 대한 플러스 영향
환경에 대한 악영향
사회 : AI가 사회 전체에 이익을 초래하는 것을 보증
거버넌스의 영향
제9장 부록
조사 방법
전시
약어
기업 개요
ATOMWISE INC.
F. HOFFMANN-LA ROCHE LTD.
FUJIFILM HOLDINGS CORP.
GE HEALTHCARE
ILLUMINA INC.
KONINKLIJKE PHILIPS N.V.
MEDTRONIC
MICROSOFT CORP.
SIEMENS HEALTHINEERS AG
THERMO FISHER SCIENTIFIC INC.
Vendors
BUTTERFLY NETWORK INC.
ENLITIC
INTEL CORP.
MERATIVE
NVIDIA CORP.
QURE.AI
SYNAPSICA HEALTHCARE PVT LTD.
KSA
영문 목차
영문목차
The global market for AI in clinical and molecular diagnostics is expected to grow from $2.6 billion in 2024 and is projected to reach $8.9 billion by the end of 2029, at a compound annual growth rate (CAGR) of 27.6% during the forecast period of 2024 to 2029.
Report Scope
This report on the global market for AI in clinical and molecular diagnostics entails a comprehensive analysis of the market size, growth trends and segmentation by technology and application. It examines drivers, challenges and opportunities influencing the adoption of AI technologies in clinical and molecular diagnostics, focusing on specific applications in imaging, genomics and laboratory diagnostics. The report provides perspectives on the competitive environment, featuring profiles of leading companies and their strategic initiatives, as well as regional analyses that address the specific market dynamics in North America, Europe, Asia-Pacific, and the Rest of the World (RoW), which in this report includes Latin America and the Middle East and Africa. It also identifies emerging trends, such as the integration of AI in personalized medicine and telehealth. This report is an essential reference for stakeholders, including healthcare providers, technology developers and policymakers, seeking to navigate and capitalize on the evolving AI landscape in diagnostics.
Report Includes
27 data tables and 41 additional tables
An analysis of the current and future global markets for AI in clinical and molecular diagnostics
Analyses of global market trends, with market revenue data (sales figures) for 2021-2023, estimates for 2024, and projected CAGRs through 2029
Estimates of the market size and revenue forecasts for the global market for AI in clinical and molecular diagnostics, with market share analysis by type of services, devices, and region
Discussion of the rising prevalence of chronic diseases, and technological advances in biomarker discovery, disease progression prediction, and personalized treatment strategies
Discussions of the market dynamics, opportunities and challenges, as well as emerging technologies
Overview of the sustainability trends and ESG developments in the industry, with emphasis on the ESG practices of leading companies, their ESG scores, and consumer attitudes
Competitive intelligence, including companies' market shares, recent M&A activity and venture funding
Profiles of the leading companies, including Siemens Healthineers AG, F. Hoffmann-La Roche Ltd., Koninklijke Philips N.V., Fujifilm Holdings Corp., and Merative
Table of Contents
Chapter 1 Executive Summary
Market Outlook
Scope of Report
Market Summary
Chapter 2 Market Overview
Overview
History of AI
Rise of Machine Learning
Machine Learning vs. Deep Learning vs. Neural Networks
Types of Machine Learning
Advantages and Disadvantages of ML Algorithms
AI in Healthcare
AI in Clinical Diagnostics
AI in Molecular Diagnostics
Chapter 3 Market Dynamics
Overview
Market Drivers
Investment in the AI Health Sector
Increasing Prevalence of Chronic and Infectious Diseases
Technological Advances
Demand for Personalized Medicine
Market Restraints
Practitioners Reluctant to Adopt AI-based Technologies
Data Security
Regulatory Challenges
Market Opportunities
Software with AI
Untapped Opportunities in Developing Markets
Chapter 4 Regulatory Structure
Chapter 5 Emerging Technologies and Developments
Latest Technologies/Developments
Machine Learning Algorithms
Deep Learning
Generative AI
Natural Language Processing (NLP)
Genomic AI
Cloud-Based Solutions
Chapter 6 Market Segmentation Analysis
Market Trends
Segmentation Breakdown
AI in Clinical and Molecular Diagnostics: Global Markets
Molecular Diagnostics
Clinical Diagnostics
Market Analysis by Component
Software
Services
Hardware
Geographic Breakdown
Market Analysis by Region
North America
Europe
Asia-Pacific
Rest of the World
Chapter 7 Competitive Intelligence
Chapter 8 Sustainability in AI in Clinical and Molecular Diagnostics: An ESG Perspective
