세계의 인공지능(AI) 기반 병리학 품질 관리 시장(2025년)
Artificial Intelligence (AI) Pathology Quality Control Global Market Report 2025
상품코드 : 1855782
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

인공지능(AI) 기반 병리학 품질 관리 시장 규모는 최근 급격히 확대되고 있습니다. 2024년 14억 6,000만 달러로 평가되었고, 2025년에는 17억 8,000만 달러에 달하고, CAGR 21.6%로 성장할 전망입니다. 역사적인 기간에 있어서 성장의 원동력은 암과 만성 질환의 유병률의 상승, 진단 정확도에 대한 요구 증가, 숙련 병리의 부족, 헬스케어 지출 증가, 맞춤형 의료의 성장입니다.

인공지능(AI) 기반 병리학 품질 관리 시장 규모는 향후 수년간 비약적인 성장이 예상됩니다. 2029년에는 CAGR 21.2%로 38억 4,000만 달러로 성장할 것으로 예상됩니다. 예측기간의 성장은 자동화된 품질보증에 대한 수요 증가, 헬스케어 인공지능 신흥기업 투자 증가, 클라우드 기반 병리 솔루션 채택, 정밀의료 이니셔티브 확대, 질병 조기 발견에 대한 관심 증가로 뒷받침됩니다. 이 기간의 주요 동향으로는 딥러닝 알고리즘의 발전, QC 자동화 툴의 혁신, 디지털 병리학 플랫폼과 AI의 통합, 클라우드 기반의 병리학 시스템의 개발, 멀티모달 진단 분석의 진전 등이 있습니다.

맞춤형 의료에 대한 수요 증가는 인공지능(AI) 기반 병리학 품질 관리 시장의 확대를 촉진할 것으로 예측됩니다. 맞춤형 의료는 개인의 유전적 체질, 라이프 스타일, 환경 요인에 맞게 치료 및 예방 전략을 조정하는 것입니다. 개인화된 의료의 보급은 유전적 돌연변이를 보다 정확하게 확인하고 표적 치료의 개발을 가능하게 하는 유전체학의 진보로 인한 것이 큽니다. AI를 활용한 병리 품질 관리는 정확하고 일관된 진단 통찰력을 제공함으로써 맞춤형 의료를 강화하고 개별 치료 계획을 수립합니다. 품질 검사를 자동화하여 진단 실수를 최소화하고 정확성과 신뢰성을 향상시키고 환자에 맞는 치료를 진행합니다. 예를 들어 미국의 비영리 단체인 맞춤형 의료연합(PMC)은 미국 식품의약국(FDA)이 2023년 승인한 개인화 신약은 26개 품목으로 2022년 12개 품목에서 크게 증가했다고 보고했습니다. 이러한 맞춤형 의료에 대한 수요 증가는 AI 병리 품질 관리 시장을 촉진할 것으로 예측됩니다.

인공지능(AI) 기반 병리학 품질 관리 시장의 주요 기업은 진단 정확도를 높이고, 실험실 워크플로우를 간소화하고, 병리 데이터의 신뢰성을 보장하기 위해 AI 탑재 기술과 같은 고급 솔루션 개발에 주력하고 있습니다. 이러한 차세대 AI 솔루션은 속도, 정확성 및 효율성을 향상시키면서 복잡한 작업을 수행합니다. 예를 들어, 미국을 기반으로 하는 생명공학 회사인 PathAI는 2023년 11월, AISight 디지털 병리 플랫폼에 Artifact Detect 1을 도입했습니다. 이 도구는 전체 슬라이드 이미지(WSI)에서 아티팩트의 검출과 정량화를 자동화합니다. ArtifactDetect는 슬라이드의 품질에 문제가 없는지 자동으로 스크리닝함으로써 오진이나 불필요한 재스캔을 막아 정확도, 검사실의 효율, 전체적인 처리량을 향상시킵니다. 재염색 및 재검사와 같은 시기 적절한 시정 조치를 가능하게 하고 디지털 워크플로우를 개선하고 병리학자와 기술자의 자원을 절약합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

SHW
영문 목차

영문목차

Artificial intelligence (AI) pathology quality control involves using AI algorithms and machine learning models to automatically evaluate and ensure the accuracy, consistency, and reliability of pathology data and slide interpretations. Its primary goal is to identify errors, standardize analyses, and enhance diagnostic precision in histopathology and cytopathology workflows, ultimately improving patient outcomes.

The main components of AI pathology quality control include software, hardware, and services. The software consists of AI-driven platforms and applications for automated analysis, quality assessment, and error detection in pathology workflows. These solutions can be deployed on-premises or via cloud-based systems. Applications include cancer diagnostics, infectious disease detection, digital pathology, research, and related areas, serving hospitals, diagnostic laboratories, research institutes, pharmaceutical and biotechnology companies, and other key end users.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sudden escalation of U.S. tariffs and the consequent trade frictions in spring 2025 are severely impacting the healthcare sector, particularly in the supply of critical medical devices, diagnostic equipment, and pharmaceuticals. Hospitals and healthcare providers are facing higher costs for imported surgical instruments, imaging equipment, and consumables such as syringes and catheters, many of which have limited domestic alternatives. These increased costs are straining healthcare budgets, leading some providers to delay equipment upgrades or pass on expenses to patients. Additionally, tariffs on raw materials and components are disrupting the production of essential drugs and devices, causing supply chain bottlenecks. In response, the industry is diversifying sourcing strategies, boosting local manufacturing where possible, and advocating for tariff exemptions on life-saving medical products.

The artificial intelligence (AI) pathology quality control market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) pathology quality control market statistics, including the artificial intelligence (AI) pathology quality control industry global market size, regional shares, competitors with the artificial intelligence (AI) pathology quality control market share, detailed artificial intelligence (AI) pathology quality control market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) pathology quality control industry. This artificial intelligence (AI) pathology quality control market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The artificial intelligence (AI) pathology quality control market size has grown exponentially in recent years. It will grow from $1.46 billion in 2024 to $1.78 billion in 2025 at a compound annual growth rate (CAGR) of 21.6%. The growth during the historic period is driven by rising prevalence of cancer and chronic diseases, increasing demand for diagnostic accuracy, shortage of skilled pathologists, higher healthcare expenditure, and growth of personalized medicine.

The artificial intelligence (AI) pathology quality control market size is expected to see exponential growth in the next few years. It will grow to $3.84 billion in 2029 at a compound annual growth rate (CAGR) of 21.2%. The projected growth in the forecast period is supported by rising demand for automated quality assurance, increasing investment in healthcare AI startups, adoption of cloud-based pathology solutions, expansion of precision medicine initiatives, and greater focus on early disease detection. Key trends in this period include advancements in deep learning algorithms, innovations in QC automation tools, integration of AI with digital pathology platforms, development of cloud-based pathology systems, and progress in multimodal diagnostic analytics.

The growing demand for personalized medicine is expected to drive the expansion of the artificial intelligence (AI) pathology quality control market. Personalized medicine involves tailoring treatment and prevention strategies to an individual's genetic makeup, lifestyle, and environmental factors. The rise in personalized medicine adoption is largely attributed to advancements in genomics, which enable more precise identification of genetic variations and the development of targeted treatments. AI-powered pathology quality control enhances personalized medicine by offering accurate and consistent diagnostic insights, facilitating the creation of individualized treatment plans. It minimizes diagnostic errors by automating quality checks, improving accuracy and reliability, and advancing patient-specific care. For example, the Personalized Medicine Coalition (PMC), a US-based nonprofit, reported that the U.S. Food and Drug Administration (FDA) approved 26 new personalized medicines in 2023, a significant increase from 12 in 2022. This growing demand for personalized medicine is expected to propel the AI pathology quality control market.

Key players in the artificial intelligence (AI) pathology quality control market are focusing on developing advanced solutions, such as AI-powered technologies, to enhance diagnostic precision, streamline laboratory workflows, and ensure the reliability of pathology data. These next-generation AI solutions perform complex tasks with improved speed, accuracy, and efficiency. For instance, in November 2023, PathAI, a US-based biotechnology company, introduced Artifact Detect 1 on its AISight digital pathology platform. This tool automates the detection and quantification of artifacts in whole slide images (WSI), which are non-relevant features that can reduce diagnostic accuracy. ArtifactDetect helps prevent misdiagnoses and unnecessary rescans by automatically screening slides for quality issues, boosting accuracy, laboratory efficiency, and overall throughput. It enables timely corrective actions, such as re-staining or re-scanning, improving digital workflows and conserving resources for pathologists and technicians.

In November 2024, Molbio Diagnostics Pvt. Ltd., an India-based molecular diagnostics company, acquired a majority stake in OptraSCAN Inc. through a $30 million investment. This acquisition enables Molbio to expand its presence in digital and AI-driven pathology, broaden its diagnostic portfolio beyond molecular testing, enhance its global market reach, and accelerate innovation in pathology quality control and precision diagnostics. OptraSCAN Inc., based in the US, provides AI solutions for pathology quality control as part of its digital pathology offerings.

Major players in the artificial intelligence (AI) pathology quality control market are Roche Diagnostics GmbH, Danaher Corporation, Philips Healthcare, Agilent Technologies Inc., Hologic Inc., Clinisys Group Ltd., Sectra AB, PathAI Inc., OptraSCAN Inc., Paige.AI Inc., Proscia Inc., Quibim S.L., 3DHISTECH Ltd., Visiopharm A/S, Indica Labs Inc., Ibex Medical Analytics Ltd., Aiosyn B.V., DeepBio Inc., Nucleai Ltd., and Gestalt Diagnostics LLC.

North America was the largest region in the artificial intelligence (AI) pathology quality control market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI) pathology quality control report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the artificial intelligence (AI) pathology quality control market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) pathology quality control market consists of revenues earned by entities by providing services such as automated slide review, error detection in pathology reports, consistency checks in histopathology and cytopathology analyses, digital image analysis, workflow optimization, and validation of diagnostic results using AI-powered tools. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) pathology quality control market also includes sales of artificial intelligence (AI)-powered pathology software, digital pathology platforms, image analysis tools, and quality assurance modules. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI) Pathology Quality Control Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (ai) pathology quality control market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for artificial intelligence (ai) pathology quality control ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) pathology quality control market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI) Pathology Quality Control Market Characteristics

3. Artificial Intelligence (AI) Pathology Quality Control Market Trends And Strategies

4. Artificial Intelligence (AI) Pathology Quality Control Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Artificial Intelligence (AI) Pathology Quality Control Growth Analysis And Strategic Analysis Framework

6. Artificial Intelligence (AI) Pathology Quality Control Market Segmentation

7. Artificial Intelligence (AI) Pathology Quality Control Market Regional And Country Analysis

8. Asia-Pacific Artificial Intelligence (AI) Pathology Quality Control Market

9. China Artificial Intelligence (AI) Pathology Quality Control Market

10. India Artificial Intelligence (AI) Pathology Quality Control Market

11. Japan Artificial Intelligence (AI) Pathology Quality Control Market

12. Australia Artificial Intelligence (AI) Pathology Quality Control Market

13. Indonesia Artificial Intelligence (AI) Pathology Quality Control Market

14. South Korea Artificial Intelligence (AI) Pathology Quality Control Market

15. Western Europe Artificial Intelligence (AI) Pathology Quality Control Market

16. UK Artificial Intelligence (AI) Pathology Quality Control Market

17. Germany Artificial Intelligence (AI) Pathology Quality Control Market

18. France Artificial Intelligence (AI) Pathology Quality Control Market

19. Italy Artificial Intelligence (AI) Pathology Quality Control Market

20. Spain Artificial Intelligence (AI) Pathology Quality Control Market

21. Eastern Europe Artificial Intelligence (AI) Pathology Quality Control Market

22. Russia Artificial Intelligence (AI) Pathology Quality Control Market

23. North America Artificial Intelligence (AI) Pathology Quality Control Market

24. USA Artificial Intelligence (AI) Pathology Quality Control Market

25. Canada Artificial Intelligence (AI) Pathology Quality Control Market

26. South America Artificial Intelligence (AI) Pathology Quality Control Market

27. Brazil Artificial Intelligence (AI) Pathology Quality Control Market

28. Middle East Artificial Intelligence (AI) Pathology Quality Control Market

29. Africa Artificial Intelligence (AI) Pathology Quality Control Market

30. Artificial Intelligence (AI) Pathology Quality Control Market Competitive Landscape And Company Profiles

31. Artificial Intelligence (AI) Pathology Quality Control Market Other Major And Innovative Companies

32. Global Artificial Intelligence (AI) Pathology Quality Control Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI) Pathology Quality Control Market

34. Recent Developments In The Artificial Intelligence (AI) Pathology Quality Control Market

35. Artificial Intelligence (AI) Pathology Quality Control Market High Potential Countries, Segments and Strategies

36. Appendix

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