市场调查报告书
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1497562
病理学人工智慧市场:按组件、神经网路、应用程式和最终用户划分 - 2024-2030 年全球预测AI in Pathology Market by Component (Hardware, Software), Neural Network (Convolutional neural networks (CNNs), Generative adversarial networks (GANs), Recurrent neural networks (RNNs)), Application, End-User - Global Forecast 2024-2030 |
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病理学人工智慧市场规模预估2023年为2,901万美元,预估2024年将达3,336万美元,2030年将达7,875万美元,复合年增长率为15.33%。
病理学中的人工智慧(AI)透过整合先进的计算技术、机器学习演算法和影像分析工具来自动化诊断过程的各个方面,从而提高病理诊断的速度、准确性和效率。准确快速诊断的新兴市场的开拓、需要及时诊断的癌症等慢性疾病的盛行率不断上升,以及数位病理基础设施的持续发展,都有力地促进了市场的成长。此外,政府也持续投资研发活动和支持性倡议,旨在加速医疗保健数位化。此外,对于许多医疗机构来说,开发和整合基于人工智慧的病理学解决方案可能成本高昂。此外,使用基于云端基础的解决方案共用患者资料会引发对资料外洩和未授权存取敏感资讯的担忧。除此之外,机器学习技术和人工智慧能力的快速进步正在为市场成长创造潜在机会。此外,还可以利用区块链等新技术来确保患者资料的安全储存和传输。
主要市场统计 | |
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基准年[2023] | 2901万美元 |
预测年份 [2024] | 3336万美元 |
预测年份 [2030] | 7875万美元 |
复合年增长率(%) | 15.33% |
区域洞察
在美洲,人工智慧驱动的病理解决方案正在进行大量投资,以推进数位诊断。食品药物管理局也开始批准以人工智慧为基础的医疗设备,显示这些技术正在获得认可。欧盟委员会的计划为专注于健康和护理数位转型的计划提供了大量资金。改善欧盟地区的医疗基础设施为基于人工智慧的病理解决方案提供了独特的机会。在亚太地区,领先的公司正在大力投资数位诊断。政府措施也支持该领域的研究和开发,产生了大量专利和研究出版物。此外,亚太地区新兴经济体医疗保健基础设施的发展正在推动数位医疗保健解决方案的采用。
FPNV定位矩阵
FPNV 定位矩阵对于评估病理学人工智慧市场供应商的市场定位至关重要。此矩阵提供了对供应商的全面评估,并检查了与商务策略和产品满意度相关的关键指标。这种详细的评估使用户能够根据自己的要求做出明智的决定。根据评估结果,供应商被分为代表其成功程度的四个像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一个综合工具,可以对病理学市场人工智慧供应商的现状进行深入而详细的评估。透过仔细比较和分析供应商的贡献,您可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他重要指标。此外,该分析还提供了对该领域竞争性质的宝贵见解,包括累积研究期、片段化优势和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
策略分析与建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对目前在病理学市场人工智慧中的地位进行全面评估,使公司能够做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[189 Pages Report] The AI in Pathology Market size was estimated at USD 29.01 million in 2023 and expected to reach USD 33.36 million in 2024, at a CAGR 15.33% to reach USD 78.75 million by 2030.
Artificial intelligence (AI) in pathology integrates advanced computational techniques, machine learning algorithms, and image analysis tools to improve pathological diagnoses' speed, accuracy, and efficiency by automating various aspects of the diagnostic process. Increasing demand for accurate and quick diagnostics, the rising chronic diseases prevalence such as cancer that require timely diagnosis, and continuous developments in digital pathology infrastructure strongly contribute to the growth of the market. In addition, ongoing investments in research and development activities and supportive government initiatives aimed at promoting healthcare digitization. Furthermore, the development and integration of AI-based solutions in pathology can be an expensive affair for many healthcare organizations. Also, the usage of cloud-based solutions for sharing patient data raises concerns about data breaches and unauthorized access to sensitive information. Apart from this, rapid advancements in machine learning techniques & artificial intelligence capabilities create a potential opportunity for market growth. Additionally, emerging technologies such as blockchain can be leveraged to ensure secure storage and transfer of patient data.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 29.01 million |
Estimated Year [2024] | USD 33.36 million |
Forecast Year [2030] | USD 78.75 million |
CAGR (%) | 15.33% |
Regional Insights
In the Americas, significant investments have been made in AI-driven pathology solutions to advance digital diagnostics. The Food and Drug Administration has also started approving AI-based medical devices, demonstrating an increasing acceptance of such technologies. The European Commission's program has provided significant funding for projects focusing on digital transformation in health and care. Improved healthcare infrastructure in the EU region presents a unique opportunity for AI-based pathology solutions. In the APAC region, major players have made significant investments in digital diagnostics. Government initiatives have also supported R&D in this sector, leading to numerous patents and research publications. Also, the development of healthcare infrastructure in the developing economies of the APAC region endorses the adoption of digital healthcare solutions.
Market Insights
The market dynamics represent an ever-changing landscape of the AI in Pathology Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the AI in Pathology Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the AI in Pathology Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
Microsoft Collab to Build World's Largest Pathology, Oncology Imaging AI
Microsoft and healthcare technology company Paige have partnered to create image-based AI models for digital pathology and oncology, with the goal of revolutionizing cancer diagnosis and patient care. Paige has developed an AI model that has been trained on over 1 billion images from half a million pathology slides across various cancer types. This collaboration aims to expand the model to an even larger scale by incorporating up to 4 million digitized microscopy slides. [Published On: 2023-09-07]
PathAI Announces PathExplore, an AI-powered Pathology Panel to Unlock Untapped Insights from the Tumor Microenvironment
PathExplore, powered by artificial intelligence, is a groundbreaking technology that provides single-cell resolution of the tumor microenvironment from H&E whole-slide images. This innovative technology aims to unlock valuable insights into disease states, potentially leading to improved patient outcomes and more targeted oncology therapies. Unlike current technologies, PathExplore offers a unique combination of deep resolution and scalability, making it suitable for analyzing massive numbers of patient samples. [Published On: 2023-04-04]
Paige and Leica Biosystems Announce Expanded Partnership to Enhance Use of Image Management and Artificial Intelligence Technology in Global Digital Pathology Workflows
Paige and Leica Biosystems have announced an expanded partnership to enhance the utilization of digital pathology workflows. As part of this collaboration, a co-branded version of Paige's Platform was introduced, serving as the central interface connecting pathologists with Leica Biosystems hardware. This partnership provides users of Aperio GT 450 scanners with comprehensive access to Paige's suite of digital pathology software, encompassing the FullFocus viewer, the AI-powered worklist FullFolio, and a range of other AI software solutions. [Published On: 2023-03-12]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the AI in Pathology Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the AI in Pathology Market, highlighting leading vendors and their innovative profiles. These include aetherAI, Aiforia Technologies Oyj, Akoya Biosciences, Inc., Deep Bio, Inc., Evident Corporation, F. Hoffmann-La Roche Ltd., Ibex Medical Analytics Ltd., Indica Labs, Inc., Inspirata, Inc., LUMEA, Inc., MindPeak GmbH, Nucleai Inc., OptraSCAN Inc., Paige.AI, Inc., PathAI, Inc., Proscia Inc., Techcyte, Inc., Tempus Labs, Inc., Tribun Health, Visikol, Inc. by CELLINK, and Visiopharm A/S.
Market Segmentation & Coverage