数位病理技术：创新与成长机会

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个工作天内

价格

简介目录

基于人工智慧的影像分析演算法等颠覆性技术加速了诊断和药物开发研究

数位病理产业的竞争日益激烈，多家新兴企业的进入迫使市场参与者创造独特的颠覆性产品。数位病理学包括载玻片数位化、影像分析演算法以及影像储存和管理解决方案，本报告重点关注创新指数最高的玻片数位化技术和影像分析演算法。当今的数位病理学利用全组织切片数位化和智慧影像分析来解决传统组织病理学的挑战。整个载玻片扫描系统消除了载玻片破损的风险，也消除了将载玻片运送给病理学家和储存的耗时的需要，这需要物理空间。基于人工智慧的先进影像分析演算法解决了传统计算病理学分析影像特征能力的限制。病理学家的短缺和传统组织病理学分析能力的有限也推动了数位病理学解决方案的采用。这项研究描绘了数位病理学技术的演变，并揭示了其在研究和诊断病理学中的应用。我们也检验了这些发展对产业需求的影响。

本研究解决的关键问题

1.什么是数位病理学，产业对这项技术的需求是什么，它的用途是什么？

2. 驱动和限制数位病理产业成长的因素有哪些？按地区分類的趋势是什么？

3.数位病理的技术细分是什么？幻灯片数位化和影像分析演算法领域的参与企业有哪些？采用了哪些技术、解决方案的特性、目标应用以及商业性准备程度？

4. 谁是该技术的主要采用者以及采用的影响是什么？

5. 什么是企业病理学解决方案以及谁是供应商？

6.产业资金筹措、併购、专利申请等方面有何趋势？

7. 数位病理产业的变化带来了哪些市场参与者和相关人员应该利用的成长机会？

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