市場調查報告書
商品編碼
1497865
醫療保健市場中的電腦視覺:按組件、技術、應用程式、部署和最終用戶 - 2024-2030 年全球預測Computer Vision in Healthcare Market by Component (Hardware, Services, Software), Technology (Machine Learning, Pattern Recognition, Signal Processing), Application, Deployment, End-User - Global Forecast 2024-2030 |
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醫療保健領域的電腦視覺市場規模預計到2023年為35.5億美元,2024年達到44.1億美元,預計到2030年將達到165.4億美元,複合年成長率為24.57%。
醫療保健中的電腦視覺使用演算法和技術,使電腦能夠分析醫學領域的視覺資料,例如 MRI、 電腦斷層掃描和 X 光影像。這項技術將幫助醫療專業人員診斷疾病、追蹤治療進展,甚至提高手術的精確度,從而提高整體醫療照護的有效性。電腦視覺在醫療保健領域的普及主要是由全球慢性病的流行所推動的,這需要增強的診斷和監測系統。此外,現代醫學影像處理技術產生的大量資料正在增加對電腦視覺檢測醫學影像異常的需求。然而,醫療保健領域的電腦視覺引發了對患者資料安全性和保密性的嚴重擔憂,從而阻礙了市場成長。此外,隨著遠端醫療的擴展,電腦視覺可以廣泛用於遠距離診斷和患者照護,從而擴大醫療保健的覆蓋範圍。此外,人工智慧和機器學習演算法的創新可以顯著提高電腦視覺系統的效率和準確性,為醫療保健市場中的電腦視覺提供巨大的成長機會。
主要市場統計 | |
---|---|
基準年[2023] | 35.5億美元 |
預測年份 [2024] | 44.1億美元 |
預測年份 [2030] | 165.4億美元 |
複合年成長率(%) | 24.57% |
區域洞察
在美洲,醫療保健市場的電腦視覺受益於大規模的技術投資和強大的醫療保健系統,推動了市場的成長。此外,由於大量領先的醫療機構和高科技公司的存在,市場參與企業開發了多種基於人工智慧的影像處理設備,有助於早期疾病檢測和患者管理。相反,由於技術整合和醫療保健發展的不平等,南美國家的進步速度較慢。在 EMEA(歐洲、中東和非洲)地區,歐洲擁有完善的醫療保健基礎設施,大量技術投資正在推動該國市場的成長。在《通用資料保護條例》等支援法規的推動下,歐盟國家正在迅速將電腦視覺設定整合到醫療保健中,該法規保證了人工智慧應用程式中的資料保護。在中東,各國政府正在推動醫療保健的數位轉型,在計劃和措施中採用電腦視覺來改善醫療保健服務和可近性。此外,由於政府的支持政策和資金,非洲正吸引越來越多的國際高科技公司的興趣,這些公司希望投資當地機構並與當地機構合作。在亞太地區,政府和私營部門正在支持大量研究和開發,旨在將電腦視覺整合到慢性病管理、老年護理和遠端患者監護中。中國熱衷於實施電腦視覺來改善患者照護和醫院營運效率。在日本,隨著人口老化,人工智慧和電腦視覺在醫療保健領域的引入正在取得進展,以用於老年人護理和慢性病管理。在印度,包括「數位印度」在內的舉措以及對人工智慧Start-Ups的重大投資正在為取得重大進展鋪平道路,並越來越關注可及且負擔得起的醫療保健解決方案。
FPNV定位矩陣
FPNV 定位矩陣對於評估醫療保健市場電腦視覺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,並檢查了與業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種綜合工具,可以對醫療保健市場電腦視覺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,包括在研究基準年觀察到的累積、分散主導地位和合併特徵等因素。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。對醫療保健市場電腦視覺當前地位的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。
[195 Pages Report] The Computer Vision in Healthcare Market size was estimated at USD 3.55 billion in 2023 and expected to reach USD 4.41 billion in 2024, at a CAGR 24.57% to reach USD 16.54 billion by 2030.
Computer vision in healthcare uses algorithms and technology that enable computers to analyze visual data from the medical realm, such as images from MRIs, CT scans, or X-rays. This technology assists healthcare professionals in diagnosing diseases, tracking treatment progress, and even performing surgeries with greater precision, thus augmenting the overall effectiveness of medical care. The adoption of computer vision in healthcare is primarily driven by the growing prevalence of chronic diseases worldwide, necessitating enhanced diagnostic and monitoring systems. Moreover, the vast amount of data generated by modern medical imaging techniques increases the demand for computer vision to detect anomalies in medical imaging. However, computer vision in healthcare raises significant concerns about the security and confidentiality of patient data, hampering the market's growth. Furthermore, expanding telemedicine can offer a potential for wide adoption of computer vision in remote diagnosis and patient care, broadening the scope of healthcare accessibility. Additionally, Innovations in AI and ML algorithms can significantly enhance the efficiency and accuracy of computer vision systems, offering significant growth opportunities for computer vision in the healthcare market.
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 3.55 billion |
Estimated Year [2024] | USD 4.41 billion |
Forecast Year [2030] | USD 16.54 billion |
CAGR (%) | 24.57% |
Regional Insights
In the Americas, computer vision in the healthcare market is benefiting from substantial technology investments and robust healthcare systems, which propel the growth of this market. Moreover, with numerous top-tier medical institutions and tech companies, the market players are developing several AI-based imaging devices that aid in early disease detection and patient management. Conversely, countries in South America are advancing at a slower pace due to unequal technological integration and healthcare development. In the EMEA region, Europe has well-established healthcare infrastructures and significant technology investments that enhance the growth of the country's market. Countries within the EU are rapidly integrating computer vision in healthcare settings, bolstered by supportive regulations, including general data protection regulation, which ensures data protection in AI applications. In the Middle East, governments are pushing for digital transformation in healthcare, including adopting computer vision in several projects and initiatives to enhance healthcare services and accessibility. Moreover, there is increasing interest in Africa from international tech companies looking to invest and partner with local institutions to deploy computer vision solutions driven by supportive government policies and funding. In the APAC region, the government and private sectors support substantial research and development, aiming to integrate computer vision in chronic disease management, elderly care, and remote patient monitoring. China is keen to adopt computer vision to improve patient care and operational efficiencies in hospitals. In Japan, the aging population has prompted the adoption of AI and computer vision in healthcare to manage elderly care and chronic diseases. In India, Initiatives, including digital India and considerable investments in AI startups, are paving the way for significant advancements, with an increasing focus on accessible and affordable healthcare solutions.
Market Insights
The market dynamics represent an ever-changing landscape of the Computer Vision in Healthcare 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 Computer Vision in Healthcare 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 Computer Vision in Healthcare 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
Siemens Healthineers Unveils Innovational Cinematic Reality App for Apple Vision Pro in Healthcare Visualization
Siemens Healthineers has introduced a pioneering application for Apple Vision Pro, focused on enhancing visual experiences in healthcare with immersive, interactive holograms of human anatomy. This application offers significant utilities in surgical planning, medical training, and patient education by simplifying complex anatomical details into accessible, photorealistic holographic images. This innovation marks an important step in employing advanced visualization tools to bridge gaps in understanding human anatomy and medical procedures, aiming to enhance clinical outcomes and educational methods within the healthcare sector. [Published On: 2024-03-07]
Nvidia Introduces Innovative Cloud-Based APIs to Enhance AI Model Development in Medical Imaging
Nvidia unveiled a significant enhancement to its medical imaging capabilities by introducing cloud-based APIs. These APIs, an expansion of Nvidia's Monai framework, a major open-source initiative in medical imaging AI, aim to expedite developing and deploying AI models tailored explicitly for healthcare applications. Nvidia highlighted the potential of these APIs to accelerate development processes and ensure they are cost-effective and tailored to specific medical needs. Flywheel, RedBrick AI, and Dataiku are already adopting these new tools, signaling a strong initial uptake and the potential for widespread application across the healthcare imaging industry. [Published On: 2023-12-01]
iMerit Unveils Advanced Radiology Annotation Suite to Enhance Medical AI Development
iMerit has launched its Radiology Annotation Product Suite, an advanced addition housed within the comprehensive Ango Hub platform, aimed at streamlining and enhancing the processes involved in medical AI development focused on radiology. This suite provides a fully integrated service covering data sourcing, meticulous workflow design, cutting-edge annotation tools, and expert human intervention. With this innovation, iMerit aims to address the integral challenges faced by developers of medical AI by providing a robust solution that enhances data accuracy and accelerates time to production. [Published On: 2023-09-06]
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 Computer Vision in Healthcare 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 Computer Vision in Healthcare Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., AiCure, LLC, Alteryx, Inc., Basler AG, Butterfly Network, Inc., Clarifai, Inc., Descartes Labs Inc., Enlitic, Inc., Fujitsu Limited, GE HealthCare Technologies Inc., Google LLC by Alphabet, Inc., iCAD Inc., Intel Corporation, International Business Machines Corporation, Iterative Health, Inc., Keyence Corporation, Microsoft Corporation, NVIDIA Corporation, Oxipit.ai, Shield AI, Tempus AI, Inc., Tensor Matics, Inc., and viso.ai AG.
Market Segmentation & Coverage