市場調查報告書
商品編碼
1497562
病理學人工智慧市場:按組件、神經網路、應用程式和最終用戶分類 - 2024-2030 年全球預測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 |
※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。
病理學人工智慧市場規模預估2023年為2,901萬美元,預估2024年將達3,336萬美元,2030年將達7,875萬美元,複合年成長率為15.33%。
病理學中的人工智慧(AI)透過整合先進的計算技術、機器學習演算法和影像分析工具來自動化診斷過程的各個方面,從而提高病理診斷的速度、準確性和效率。準確快速診斷的新興市場的開拓、需要及時診斷的癌症等慢性疾病的盛行率不斷上升,以及數位病理基礎設施的持續發展,都有力地促進了市場的成長。此外,政府也持續投資研發活動和支持性舉措,旨在加速醫療保健數位化。此外,對於許多醫療機構來說,開發和整合基於人工智慧的病理學解決方案可能成本高昂。此外,使用基於雲端基礎的解決方案共用患者資料會引發對資料外洩和未授權存取敏感資訊的擔憂。除此之外,機器學習技術和人工智慧能力的快速進步正在為市場成長創造潛在機會。此外,還可以利用區塊鏈等新技術來確保患者資料的安全儲存和傳輸。
主要市場統計 | |
---|---|
基準年[2023] | 2901萬美元 |
預測年份 [2024] | 3336萬美元 |
預測年份 [2030] | 7875萬美元 |
複合年成長率(%) | 15.33% |
區域洞察
在美洲,人工智慧驅動的病理解決方案正在進行大量投資,以推進數位診斷。食品藥物管理局也開始批准以人工智慧為基礎的醫療設備,顯示這些技術正在獲得認可。歐盟委員會的計劃為專注於健康和護理數位轉型的計劃提供了大量資金。改善歐盟地區的醫療基礎設施為基於人工智慧的病理解決方案提供了獨特的機會。在亞太地區,領先的公司正在大力投資數位診斷。政府措施也支持該領域的研究和開發,產生了大量專利和研究出版物。此外,亞太地區新興經濟體醫療保健基礎設施的發展正在推動數位醫療保健解決方案的採用。
FPNV定位矩陣
FPNV 定位矩陣對於評估病理學人工智慧市場供應商的市場定位至關重要。此矩陣提供了對供應商的全面評估,並檢查了與商務策略和產品滿意度相關的關鍵指標。這種詳細的評估使用戶能夠根據自己的要求做出明智的決定。根據評估結果,供應商被分為代表其成功程度的四個像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一個綜合工具,可以對病理學市場人工智慧供應商的現狀進行深入而詳細的評估。透過仔細比較和分析供應商的貢獻,您可以更深入地了解每個供應商的績效以及他們在爭奪市場佔有率時面臨的挑戰。這些貢獻包括整體收益、客戶群和其他重要指標。此外,該分析還提供了對該領域競爭性質的寶貴見解,包括累積研究期、片段化優勢和合併特徵等因素。有了這些詳細資訊,供應商可以做出更明智的決策並製定有效的策略,以在市場競爭中保持領先地位。
策略分析與建議
策略分析對於尋求在全球市場站穩腳跟的組織至關重要。對目前在病理學市場人工智慧中的地位進行全面評估,使公司能夠做出符合其長期願望的明智決策。此關鍵評估涉及對組織的資源、能力和整體績效進行徹底分析,以確定核心優勢和需要改進的領域。
[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 | |
---|---|
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