數位病理技術：創新與成長機會

Digital Pathology Technology Innovations and Growth Opportunities

出版日期: 2024年05月06日 | 出版商:

Frost & Sullivan | 英文 74 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

基於人工智慧的影像分析演算法等顛覆性技術加速了診斷和藥物開發研究

數位病理產業的競爭日益激烈，多家新興企業的進入迫使市場參與者創造獨特的顛覆性產品。數位病理學包括載玻片數位化、影像分析演算法以及影像儲存和管理解決方案，本報告重點關注創新指數最高的玻片數位化技術和影像分析演算法。當今的數位病理學利用全組織切片數位化和智慧影像分析來解決傳統組織病理學的挑戰。整個載玻片掃描系統消除了載玻片破損的風險，也消除了將載玻片運送給病理學家和儲存的耗時的需要，這需要物理空間。基於人工智慧的先進影像分析演算法解決了傳統計算病理學分析影像特徵能力的限制。病理學家的短缺和傳統組織病理學分析能力的有限也推動了數位病理學解決方案的採用。這項研究描繪了數位病理學技術的演變，並揭示了其在研究和診斷病理學中的應用。我們也檢驗了這些發展對產業需求的影響。

本研究解決的關鍵問題

1.什麼是數位病理學，產業對這項技術的需求是什麼，它的用途是什麼？

2. 驅動和限制數位病理產業成長的因素有哪些？按地區分類的趨勢是什麼？

3.數位病理的技術細分是什麼？幻燈片數位化和影像分析演算法領域的參與企業有哪些？採用了哪些技術、解決方案的特性、目標應用以及商業性準備程度？

4. 誰是該技術的主要採用者以及採用的影響是什麼？

5. 什麼是企業病理學解決方案以及誰是供應商？

6.產業資金籌措、併購、專利申請等方面有何趨勢？

7. 數位病理產業的變化帶來了哪些市場參與者和相關人員應該利用的成長機會？

The digital pathology industry is witnessing steadily increasing competitive intensity, with the entry of several start-ups putting market players under pressure to create unique, disruptive products. While digital pathology includes slide digitalization, image analysis algorithms, and image storage and management solutions, this report focuses on slide digitization technologies and image analysis algorithms, which have the highest innovation index. The current generation of digital pathology uses whole-tissue slide digitalization and intelligent image analysis to address the challenges of conventional histopathology practices. Whole slide scanning systems eliminate the risk of slide damage as well as the need for time-consuming slide transportation to the pathologist and storage involving physical space. Advanced AI-based image analysis algorithms address the limited image characterization capabilities of conventional computational pathology. The scarcity of pathologists and the limited analytical capabilities of conventional histopathology also drive the adoption of digital pathology solutions. The study charts the evolution of digital pathology technology and identifies its applications in research and diagnostic pathology. It also examines the impact of these developments on the needs of the industry.

Key Questions Addressed by This Study:

1. What is digital pathology, and what are the industry needs for the technology? What are the applications?

2. What are the factors driving and restraining the growth of the digital pathology industry? What are the regional trends?

3. What are the technology segments under digital pathology? Who are the participants in the slide digitalization and image analysis algorithms segments? What are the technologies employed, features of the solutions, target applications, and commercial readiness levels?

4. Who are the key adopters of the technology, and what has been the impact of the adoption?

5. What is the enterprise pathology solution, and who are the providers?

6. What are the funding, mergers and acquisitions (M&A), and patent filing trends in the industry?

7. What are the growth opportunities emerging from the changes in the digital pathology industry for market players and stakeholders to leverage?

Transformation in Digital Pathology

Why Is It Increasingly Difficult to Grow?
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on the Digital Pathology Industry

Ecosystem

Scope of Analysis
Technologies Enabling Digital Pathology-Segmentation
Research Methodology

Growth Generator

Growth Drivers
Growth Restraints

Growth Opportunity Analysis

Challenges in Conventional Histopathology
Digital Pathology and its Evolution
Digital Pathology-Advantages and Applications
Industry Needs and Impact of Digital Pathology in Research
Industry Needs and Impact of Digital Pathology in Clinical Pathology

Technology Analysis:Slide Digitization

Slide Digitization Systems-Overview
Whole Slide Scanning/Imaging-Technology Overview
Advances in Whole Slide Scanning and their Impact on Digital Pathology
Key Players Developing Slide Digitization Technologies
Comparison of Slide Scanning Capabilities Offered by Industry Players

Technology Analysis: Image Analysis Algorithms

Image Analysis Algorithms-Technology Overview
Advances in Image Analysis Solutions and their Impact on Digital Pathology
Key Players Developing Image Analysis Algorithms
Comparison of Image Analysis Algorithms Offered by Industry Players

Enterprise Pathology Platform

Enterprise Pathology Platforms for Streamlined Workflows
Key Players Providing Enterprise Pathology Platforms

Stakeholder Initiatives

Regional Trends in Digital Pathology Adoption
Key Adopters of Digital Pathology and its Impact on the Company
Notable Recent Partnerships and Collaborations Enabling Comprehensive Digital Pathology Platforms, 2021-2024
M&As Enabling Advancements in Product Portfolio of Key Players, 2021-2024
Public Funding Prioritizing R&D on Image Analysis Algorithms, 2022-2024
Key Private Funding Activities Focusing on Technology Advancements and Commercial Expansion, 2022-2024

Patent Landscape

IP Trends Indicate Larger Focus on Image Analysis Algorithms, 2020-2024
The United States Dominates the Patent Landscape in Digital Pathology, 2020-2024

Analyst Perspectives

Digital Pathology-Strategic Insights
Technology Roadmap of Digital Pathology

Growth Opportunity Universe

Growth Opportunity 1: Advancements in Diagnostic, Predictive, and Workflow AI Algorithms
Growth Opportunity 2: Cloud Computing and 5G
Growth Opportunity 3: Emergence of Integrated Diagnostics