市场调查报告书
商品编码
1497865
医疗保健市场中的电脑视觉:按组件、技术、应用程式、部署和最终用户 - 2024-2030 年全球预测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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医疗保健领域的电脑视觉市场规模预计到2023年为35.5亿美元,2024年达到44.1亿美元,预计到2030年将达到165.4亿美元,复合年增长率为24.57%。
医疗保健中的电脑视觉使用演算法和技术,使电脑能够分析医学领域的视觉资料,例如 MRI、 电脑断层扫描和 X 光影像。这项技术将帮助医疗专业人员诊断疾病、追踪治疗进展,甚至提高手术的精确度,从而提高整体医疗照护的有效性。电脑视觉在医疗保健领域的普及主要是由全球慢性病的流行所推动的,这需要增强的诊断和监测系统。此外,现代医学影像处理技术产生的大量资料正在增加对电脑视觉检测医学影像异常的需求。然而,医疗保健领域的电脑视觉引发了对患者资料安全性和保密性的严重担忧,从而阻碍了市场成长。此外,随着远端医疗的扩展,电脑视觉可以广泛用于远距离诊断和患者照护,从而扩大医疗保健的覆盖范围。此外,人工智慧和机器学习演算法的创新可以显着提高电脑视觉系统的效率和准确性,为医疗保健市场中的电脑视觉提供巨大的成长机会。
主要市场统计 | |
---|---|
基准年[2023] | 35.5亿美元 |
预测年份 [2024] | 44.1亿美元 |
预测年份 [2030] | 165.4亿美元 |
复合年增长率(%) | 24.57% |
区域洞察
在美洲,医疗保健市场的电脑视觉受益于大规模的技术投资和强大的医疗保健系统,推动了市场的成长。此外,由于大量领先的医疗机构和高科技公司的存在,市场参与企业开发了多种基于人工智慧的影像处理设备,有助于早期疾病检测和患者管理。相反,由于技术整合和医疗保健发展的不平等,南美国家的进步速度较慢。在 EMEA(欧洲、中东和非洲)地区,欧洲拥有完善的医疗保健基础设施,大量技术投资正在推动该国市场的成长。在《通用资料保护条例》等支援法规的推动下,欧盟国家正在迅速将电脑视觉设定整合到医疗保健中,该法规保证了人工智慧应用程式中的资料保护。在中东,各国政府正在推动医疗保健的数位转型,在计划和措施中采用电脑视觉来改善医疗保健服务和可近性。此外,由于政府的支持政策和资金,非洲正吸引越来越多的国际高科技公司的兴趣,这些公司希望投资当地机构并与当地机构合作。在亚太地区,政府和私营部门正在支持大量研究和开发,旨在将电脑视觉整合到慢性病管理、老年护理和远端患者监护中。中国热衷于实施电脑视觉来改善患者照护和医院营运效率。在日本,随着人口老化,人工智慧和电脑视觉在医疗保健领域的引入正在取得进展,以用于老年人护理和慢性病管理。在印度,包括「数位印度」在内的倡议以及对人工智慧Start-Ups的重大投资正在为取得重大进展铺平道路,并越来越关注可及且负担得起的医疗保健解决方案。
FPNV定位矩阵
FPNV 定位矩阵对于评估医疗保健市场电脑视觉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,并检查了与业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种综合工具,可以对医疗保健市场电脑视觉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,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。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。对医疗保健市场计算机视觉当前地位的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。
[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