市場調查報告書
商品編碼
1475177
全球電腦視覺醫療保健市場研究報告 - 2024 年至 2032 年行業分析、規模、佔有率、成長、趨勢和預測Global Computer Vision in Healthcare Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032 |
全球醫療保健市場對電腦視覺的需求預計將從 2023 年的 19.4 億美元達到近 288.7 億美元的市場規模,2024 年至 2032 年的研究期間複合年成長率為 34.99%。
醫療保健中的電腦視覺是指應用人工智慧(AI)和影像處理技術來分析醫學影像、視訊和視覺資料,以達到診斷、監測和治療的目的。電腦視覺演算法可以檢測 MRI 掃描、X 光、CT 掃描和組織病理學幻燈片等醫學影像中的模式、異常和異常,協助醫療保健專業人員診斷疾病、規劃干預措施和追蹤患者病情進展。醫療保健中的電腦視覺技術還可以實現管理任務、病患監測、手術輔助和藥物發現過程的自動化,從而提高各個醫學專業的效率、準確性和病患治療結果。
醫學影像資料(包括 X 光、MRI 掃描、CT 掃描和超音波影像)的可用性不斷增加,推動了對先進影像分析技術的需求,以協助醫療保健專業人員進行診斷、治療計劃和患者護理。電腦視覺演算法能夠以高精度和高效率仔細檢查醫學影像以檢測異常、腫瘤、骨折和其他情況,從而提高診斷準確性並減少解釋錯誤。此外,將人工智慧 (AI) 和機器學習 (ML) 技術與電腦視覺相整合,可實現預測分析、個人化醫療和人口健康管理,從而徹底改變醫療保健服務和患者治療結果。此外,在 COVID-19 大流行的推動下,對遠距醫療、遠端監控和數位健康解決方案的需求不斷成長,正在推動電腦視覺在醫療保健領域的虛擬諮詢、遠端診斷和遠距醫療應用的採用。此外,對數位醫療技術、互通性標準和資料隱私法規的監管支持,透過確保病患安全、資料安全和監管合規性,促進了電腦視覺在醫療保健領域的採用。然而,隱私和資料安全問題可能會對未來幾年醫療保健市場成長中電腦視覺的採用提出挑戰。
研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外,這些工具還對全球醫療保健電腦視覺市場的各個細分市場進行了包容性評估。醫療保健行業電腦視覺的成長和趨勢為這項研究提供了整體方法。
醫療保健市場報告中的電腦視覺部分提供了有關國家和地區級別細分市場的詳細資料,從而幫助策略師確定相應產品或服務的目標人口統計數據以及即將到來的機會。
本節涵蓋區域展望,重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲醫療保健市場中電腦視覺當前和未來的需求。此外,該報告重點關注所有主要地區各個應用領域的需求、估計和預測。
該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。醫療保健市場電腦視覺的主要參與者包括 AltexSoft、AiCure、Encord、通用電氣 (GE)、ImFusion、InData Labs、Insoftex、Nvidia Corporation、Robovision BV.、Shaip、Softengi、Verkada Inc。策略發展,例如關鍵併購、未來產能、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展。
如果您有任何客製化要求,請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。
The global demand for Computer Vision in Healthcare Market is presumed to reach the market size of nearly USD 28.87 Billion by 2032 from USD 1.94 Billion in 2023 with a CAGR of 34.99% under the study period 2024 - 2032.
Computer vision in healthcare refers to applying artificial intelligence (AI) and image processing techniques to analyze medical images, videos, and visual data for diagnostic, monitoring, and treatment purposes. Computer vision algorithms can detect patterns, anomalies, and abnormalities in medical images such as MRI scans, X-rays, CT scans, and histopathology slides, assisting healthcare professionals in diagnosing diseases, planning interventions, and tracking patient progress. Computer vision technology in healthcare also enables the automation of administrative tasks, patient monitoring, surgical assistance, and drug discovery processes, improving efficiency, accuracy, and patient outcomes across various medical specialties.
The increasing availability of medical imaging data, including X-rays, MRI scans, CT scans, and ultrasound images, is driving the need for advanced image analysis techniques to assist healthcare professionals in diagnosis, treatment planning, and patient care. Computer vision algorithms possess the ability to scrutinize medical images to detect abnormalities, tumors, fractures, and other conditions with high accuracy and efficiency, enhancing diagnostic accuracy and reducing interpretation errors. Additionally, integrating artificial intelligence (AI) and machine learning (ML) technologies with computer vision enables predictive analytics, personalized medicine, and population health management, revolutionizing healthcare delivery and patient outcomes. Moreover, the growing demand for telemedicine, remote monitoring, and digital health solutions, accelerated by the COVID-19 pandemic, is driving the adoption of computer vision in healthcare for virtual consultations, remote diagnostics, and telehealth applications. Furthermore, regulatory support for digital health technologies, interoperability standards, and data privacy regulations facilitate adopting computer vision in healthcare by ensuring patient safety, data security, and regulatory compliance. However, privacy and data security concerns may challenge the adoption of computer vision in healthcare market growth in the coming years.
The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of computer vision in healthcare. The growth and trends of computer vision in healthcare industry provide a holistic approach to this study.
This section of the computer vision in healthcare market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.
This section covers the regional outlook, which accentuates current and future demand for the Computer Vision in Healthcare market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Computer Vision in Healthcare market include AltexSoft, AiCure, Encord, General Electric (GE), ImFusion, InData Labs, Insoftex, Nvidia Corporation, Robovision BV., Shaip, Softengi, Verkada Inc. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
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