현미경용 AI 시장 규모, 점유율, 동향 분석 보고서 : 현미경 유형별, 구성요소별, 최종 용도별, 지역별, 부문별 예측(2026-2033년)
AI In Microscopy Market Size, Share & Trends Analysis Report By Microscopy Type (Optical Microscopy, Fluorescence Microscopy, Electron Microscopy), By Component, By End-use, By Region, And Segment Forecasts, 2026 - 2033
상품코드:1941521
리서치사:Grand View Research
발행일:2026년 01월
페이지 정보:영문 100 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
현미경용 AI 시장 요약
세계의 현미경용 AI 시장 규모는 2025년에 11억 2,000만 달러로 추정되며, 2033년까지 33억 8,000만 달러에 달할 것으로 예측됩니다.
2026년부터 2033년까지 CAGR 14.83%로 성장할 것으로 예상됩니다. 연구소 및 연구기관의 도입이 증가함에 따라 보다 신속하고 정확하며 재현성 높은 이미지 분석 기능에 대한 수요가 증가하고 있습니다.
특히 생명과학, 병리학, 재료 연구 분야에서 현미경 데이터의 복잡성과 양적 증가로 인해 자동화 및 지능화된 이미지 해석의 필요성이 높아지고 있습니다. 딥러닝 기반 이미지 인식 기술의 발전과 연산 능력의 향상으로 실시간 분석, 자동 세포 분류, 이미지 해상도 향상 등이 가능해졌습니다. 또한, 하이스루풋 스크리닝의 보급 확대, 바이오메디컬 연구 활동의 확대, 인적 오류 및 관찰자 간 변동성 감소에 대한 요구가 시장 성장을 더욱 촉진하고 있습니다.
연구소 및 연구기관에서의 채용 확대가 시장 성장을 견인하고 있습니다. 이러한 추세의 좋은 예로는 자율적인 데이터 수집 및 분석을 가능하게 하고, 실험 과정을 대폭 가속화하고 수동 개입에 대한 의존도를 낮추는 AI 기반 현미경 워크플로우의 개발 및 도입을 들 수 있습니다. 예를 들어, 2023년 10월 미국 에너지부 아르곤 국립연구소의 연구진은 AI 알고리즘이 스캐닝 중에 현미경을 유도하여 관심 영역에 초점을 맞추는 '자율형' 현미경 기술을 개발했습니다. 이를 통해 데이터 수집을 획기적으로 가속화하여 연구자들은 상시 모니터링 없이도 유용한 정보를 추출할 수 있게 되었습니다. 이러한 자율 현미경 기술은 효율성을 향상시키고, 기존 방법으로는 불가능한 규모와 복잡성을 가진 데이터세트를 처리할 수 있게함으로써 AI 도입이 실험실의 이미징 워크플로우를 재구축하고 있는 실례를 보여주고 있습니다.
현미경 데이터가 복잡해지면서 AI 기반 분석 기법의 도입이 시장 성장을 견인하고 있습니다. 2025년 2월 ScienceDaily에 게재된 기사에 따르면, 현미경 기술은 점점 더 크고 복잡한 데이터세트를 생성하고 있습니다. 연구진은 수작업으로 몇 주가 소요되는 세포와 세포 내 구조를 자동으로 식별하고 윤곽을 그릴 수 있는 AI 기반 세분화 툴을 사용했습니다. 괴팅겐 대학이 이끄는 국제팀은 17,000개 이상의 주석이 달린 현미경 이미지를 기반으로 AI 모델을 재훈련하여 μSAM이라는 소프트웨어를 개발했습니다. 이 소프트웨어는 광학 현미경과 전자현미경 모두에서 방대한 수작업 없이 조직, 세포, 세포 소기관을 정밀하게 분할할 수 있습니다. 이 도구는 청각 연구의 신경세포 분석에서 암 연구를 위한 종양 세포 자동 분할에 이르기까지 다양한 프로젝트에 이미 적용되어 AI가 과학자들이 현대의 현미경 데이터의 복잡성과 방대한 양을 관리하는 데 어떻게 도움이 되는지 보여주고 있습니다.
목차
제1장 조사 방법과 범위
제2장 주요 요약
제3장 현미경용 AI 시장 변수, 동향 및 범위
제4장 현미경용 AI 시장 : 현미경 유형별 추정·동향 분석
제5장 현미경용 AI 시장 : 구성요소별 추정·동향 분석
제6장 현미경용 AI 시장 : 최종 용도별 추정·동향 분석
제7장 현미경용 AI 시장 : 지역별 추정·동향 분석
제8장 경쟁 구도
KSM
영문 목차
영문목차
AI In Microscopy Market Summary
The global AI in microscopy market size was estimated at USD 1.12 billion in 2025 and is projected to reach USD 3.38 billion by 2033, growing at a CAGR of 14.83% from 2026 to 2033. Rising adoption from laboratories and research institutions increasingly seeks faster, more accurate, and reproducible image analysis capabilities.
The growing complexity and volume of microscopy data, particularly in life sciences, pathology, and materials research, is driving the need for automated and intelligent image interpretation. Advances in deep learning based image recognition, combined with improvements in computing power, are enabling real-time analysis, automated cell classification, and enhanced image resolution. Moreover, rising adoption of high-throughput screening, expanding biomedical research activities, and the need to reduce human error and inter-observer variability are further supporting market growth.
Growing adoption from laboratories and research institutions drives the growth of the market. A good example of this trend can be seen in the development and deployment of AI driven microscopy workflows that enable autonomous data acquisition and analysis, significantly speeding up experimental processes and reducing reliance on manual intervention. For instance, in October 2023, Researchers at the U.S. Department of Energy's Argonne National Laboratory have pioneered a "self driving" microscopy technique in which AI algorithms guide the microscope to focus on regions of interest during scanning, dramatically accelerating data collection and enabling researchers to extract meaningful information without constant human supervision. This kind of autonomous microscopy improves efficiency allows research facilities to handle larger and more complex datasets than traditional methods would permit, illustrating how AI adoption is reshaping laboratory imaging workflows.
Increasing complexity of microscopy data drives adoption of AI based analysis fuels growth of the market. According to the ScienceDaily article published in February 2025, microscopy generates increasingly large and complex datasets. Researchers are adopting AI based segmentation tools that can automatically identify and outline cells and subcellular structures tasks that would take weeks to perform manually. The international team led by the University of Gottingen retrained an AI model on more than 17,000 annotated microscopy images to create a software called μSAM, which can precisely segment tissues, cells, and even organelles in both light and electron microscopy without extensive manual input. This tool has already been applied in projects ranging from nerve cell analysis in hearing research to automatic tumor cell segmentation for cancer studies, illustrating how AI is helping scientists manage the complexity and volume of modern microscopy data.
Global AI In Microscopy Market Report Segmentation
This report forecasts, revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented global AI in microscopy market report based on component, technology, modality, application, end-use, and region.
Microscopy Type Outlook (Revenue, USD Million, 2021 - 2033)
Optical Microscopy
Fluorescence Microscopy
Electron Microscopy
Others
Component Outlook (Revenue, USD Million, 2021 - 2033)
AI-Enabled Microscopes (Hardware)
AI-Based Microscopy Software
Services
End-use Outlook (Revenue, USD Million, 2021 - 2033)
Hospital Laboratories
Pharmaceutical & Biotechnology Companies
Academic & Research Institutes
Clinical Research Laboratories
Others
Regional Outlook (Revenue, USD Million, 2021 - 2033)
North America
U.S.
Canada
Mexico
Europe
Germany
UK
France
Italy
Spain
Denmark
Sweden
Norway
Asia Pacific
China
Japan
India
South Korea
Australia
Thailand
Latin America
Brazil
Argentina
MEA
South Africa
Saudi Arabia
UAE
Kuwait
Table of Contents
Chapter 1. Methodology and Scope
1.1. Market Segmentation & Scope
1.2. Market Definitions
1.2.1. Microscopy Type Segment
1.2.2. Component Segment
1.2.3. End Use
1.3. Information analysis
1.3.1. Market formulation & data visualization
1.4. Data validation & publishing
1.5. Information Procurement
1.5.1. Primary Research
1.6. Information or Data Analysis
1.7. Market Formulation & Validation
1.8. Market Model
1.9. Total Market: CAGR Calculation
1.10. Objectives
1.10.1. Objective 1
1.10.2. Objective 2
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Snapshot
2.3. Competitive Insights Landscape
Chapter 3. AI in Microscopy Market Variables, Trends & Scope
3.1. Market Lineage Outlook
3.1.1. Parent market outlook
3.1.2. Related/ancillary market outlook.
3.2. Market Dynamics
3.2.1. Market driver analysis
3.2.1.1. Growing adoption from laboratories and research institutions
3.2.1.2. Increasing complexity of microscopy data
3.2.1.3. Government initiatives and funding
3.2.2. Market restraint analysis
3.2.2.1. Data security and privacy concerns
3.2.2.2. High costs of advanced devices
3.2.3. Market opportunity analysis
3.2.4. Market challenges analysis
3.3. Case Studies
3.4. AI in Microscopy Market Analysis Tools
3.4.1. Industry Analysis - Porter's
3.4.1.1. Supplier power
3.4.1.2. Buyer power
3.4.1.3. Substitution threat
3.4.1.4. Threat of new entrant
3.4.1.5. Competitive rivalry
3.4.2. PESTEL Analysis
3.4.2.1. Political landscape
3.4.2.2. Technological landscape
3.4.2.3. Economic landscape
3.4.2.4. Environmental Landscape
3.4.2.5. Legal Landscape
3.4.2.6. Social Landscape
Chapter 4. AI in Microscopy Market: Microscopy Type Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. Global AI in Microscopy Market Microscopy Type Movement Analysis
4.3. Global AI in Microscopy Market Size & Trend Analysis, by Microscopy Type, 2021 to 2033 (USD Million)
4.4. Optical Microscopy
4.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
4.5. Fluorescence Microscopy
4.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
4.6. Electron Microscopy
4.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
4.7. Others
4.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 5. AI in Microscopy Market: Component Estimates & Trend Analysis
5.1. Segment Dashboard
5.2. Global AI in Microscopy Market Technology Movement Analysis
5.3. Global AI in Microscopy Market Size & Trend Analysis, by Technology, 2021 to 2033 (USD Million)
5.4. AI-Enabled Microscopes (Hardware)
5.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.5. AI-Based Microscopy Software
5.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
5.6. Services
5.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 6. AI in Microscopy Market: End Use Estimates & Trend Analysis
6.1. Segment Dashboard
6.2. Global AI in Microscopy Market End Use Movement Analysis
6.3. Global AI in Microscopy Market Size & Trend Analysis, by End Use, 2021 to 2033 (USD Million)
6.4. Hospital Laboratories
6.4.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.5. Pharmaceutical & Biotechnology Companies
6.5.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.6. Academic & Research Institutes
6.6.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.7. Clinical Research Laboratories
6.7.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
6.8. Others
6.8.1. Market estimates and forecasts, 2021 to 2033 (USD Million)
Chapter 7. AI in Microscopy Market: Regional Estimates & Trend Analysis
7.1. Regional Market Share Analysis, 2025 & 2033
7.2. Regional Market Dashboard
7.3. Market Size & Forecasts Trend Analysis, 2021 to 2033:
7.4. North America
7.4.1. U.S.
7.4.1.1. Key country dynamics
7.4.1.2. Regulatory framework
7.4.1.3. Competitive scenario
7.4.1.4. U.S. market estimates and forecasts, 2021 to 2033 (USD Million)
7.4.2. Canada
7.4.2.1. Key country dynamics
7.4.2.2. Regulatory framework
7.4.2.3. Competitive scenario
7.4.2.4. Canada market estimates and forecasts, 2021 to 2033 (USD Million)
7.4.3. Mexico
7.4.3.1. Key country dynamics
7.4.3.2. Regulatory framework
7.4.3.3. Competitive scenario
7.4.3.4. Mexico market estimates and forecasts, 2021 to 2033 (USD Million)
7.5. Europe
7.5.1. UK
7.5.1.1. Key country dynamics
7.5.1.2. Regulatory framework
7.5.1.3. Competitive scenario
7.5.1.4. UK market estimates and forecasts, 2021 to 2033 (USD Million)
7.5.2. Germany
7.5.2.1. Key country dynamics
7.5.2.2. Regulatory framework
7.5.2.3. Competitive scenario
7.5.2.4. Germany market estimates and forecasts, 2021 to 2033 (USD Million)
7.5.3. France
7.5.3.1. Key country dynamics
7.5.3.2. Regulatory framework
7.5.3.3. Competitive scenario
7.5.3.4. France market estimates and forecasts, 2021 to 2033 (USD Million)
7.5.4. Italy
7.5.4.1. Key country dynamics
7.5.4.2. Regulatory framework
7.5.4.3. Competitive scenario
7.5.4.4. Italy market estimates and forecasts, 2021 to 2033 (USD Million)
7.5.5. Spain
7.5.5.1. Key country dynamics
7.5.5.2. Regulatory framework
7.5.5.3. Competitive scenario
7.5.5.4. Spain market estimates and forecasts, 2021 to 2033 (USD Million)
7.5.6. Norway
7.5.6.1. Key country dynamics
7.5.6.2. Regulatory framework
7.5.6.3. Competitive scenario
7.5.6.4. Norway market estimates and forecasts, 2021 to 2033 (USD Million)
7.5.7. Sweden
7.5.7.1. Key country dynamics
7.5.7.2. Regulatory framework
7.5.7.3. Competitive scenario
7.5.7.4. Sweden market estimates and forecasts, 2021 to 2033 (USD Million)
7.5.8. Denmark
7.5.8.1. Key country dynamics
7.5.8.2. Regulatory framework
7.5.8.3. Competitive scenario
7.5.8.4. Denmark market estimates and forecasts, 2021 to 2033 (USD Million)
7.6. Asia Pacific
7.6.1. Japan
7.6.1.1. Key country dynamics
7.6.1.2. Regulatory framework
7.6.1.3. Competitive scenario
7.6.1.4. Japan market estimates and forecasts, 2021 to 2033 (USD Million)
7.6.2. China
7.6.2.1. Key country dynamics
7.6.2.2. Regulatory framework
7.6.2.3. Competitive scenario
7.6.2.4. China market estimates and forecasts, 2021 to 2033 (USD Million)
7.6.3. India
7.6.3.1. Key country dynamics
7.6.3.2. Regulatory framework
7.6.3.3. Competitive scenario
7.6.3.4. India market estimates and forecasts, 2021 to 2033 (USD Million)
7.6.4. Australia
7.6.4.1. Key country dynamics
7.6.4.2. Regulatory framework
7.6.4.3. Competitive scenario
7.6.4.4. Australia market estimates and forecasts, 2021 to 2033 (USD Million)
7.6.5. South Korea
7.6.5.1. Key country dynamics
7.6.5.2. Regulatory framework
7.6.5.3. Competitive scenario
7.6.5.4. South Korea market estimates and forecasts, 2021 to 2033 (USD Million)
7.6.6. Thailand
7.6.6.1. Key country dynamics
7.6.6.2. Regulatory framework
7.6.6.3. Competitive scenario
7.6.6.4. Thailand market estimates and forecasts, 2021 to 2033 (USD Million)
7.7. Latin America
7.7.1. Brazil
7.7.1.1. Key country dynamics
7.7.1.2. Regulatory framework
7.7.1.3. Competitive scenario
7.7.1.4. Brazil market estimates and forecasts, 2021 to 2033 (USD Million)
7.7.2. Argentina
7.7.2.1. Key country dynamics
7.7.2.2. Regulatory framework
7.7.2.3. Competitive scenario
7.7.2.4. Argentina market estimates and forecasts, 2021 to 2033 (USD Million)
7.8. MEA
7.8.1. South Africa
7.8.1.1. Key country dynamics
7.8.1.2. Regulatory framework
7.8.1.3. Competitive scenario
7.8.1.4. South Africa market estimates and forecasts, 2021 to 2033 (USD Million)
7.8.2. Saudi Arabia
7.8.2.1. Key country dynamics
7.8.2.2. Regulatory framework
7.8.2.3. Competitive scenario
7.8.2.4. Saudi Arabia market estimates and forecasts, 2021 to 2033 (USD Million)
7.8.3. UAE
7.8.3.1. Key country dynamics
7.8.3.2. Regulatory framework
7.8.3.3. Competitive scenario
7.8.3.4. UAE market estimates and forecasts, 2021 to 2033 (USD Million)
7.8.4. Kuwait
7.8.4.1. Key country dynamics
7.8.4.2. Regulatory framework
7.8.4.3. Competitive scenario
7.8.4.4. Kuwait market estimates and forecasts, 2021 to 2033 (USD Million)
