市場調查報告書
商品編碼
1470472
醫療保健資料收集和標籤市場:按類型、最終用戶分類 - 2024-2030 年全球預測Healthcare Data Collection & Labeling Market by Type (Audio, Image/Video, Text), End-Users (Biotech, Dentistry, Diagnostic Centers) - Global Forecast 2024-2030 |
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醫療資料收集和標籤市場規模預計到 2023 年為 10.8 億美元,2024 年達到 13.6 億美元,預計到 2030 年將達到 53.7 億美元,複合年成長率為 25.62%。
醫療保健資料收集和標籤市場包括用於收集、註釋和檢驗各種類型的健康相關資訊的服務、軟體和平台。人工智慧和機器學習領域的持續技術進步正在推動全球對註釋的醫療資料集的需求。遵守 GDPR 和 HIPAA 等資料保護法的需求正在推動安全可靠的資料處理解決方案市場的發展。各種來源的醫療資料量不斷增加,需要先進的標籤工具。然而,更嚴格的資料隱私法規可能會限制對創建資料集所需的個人健康資訊的存取。確保大量資料集集中一致標記的資料的高品質是市場成長的一個挑戰。此外,採用雲端基礎的資料註釋解決方案可以提高醫療保健資料收集的擴充性和效率,從而創造市場成長機會。與電子健康記錄(EHR) 的整合簡化了資料收集和註釋,為市場成長創造了機會。
主要市場統計 | |
---|---|
基準年[2023] | 10.8億美元 |
預測年份 [2024] | 13.6億美元 |
預測年份 [2030] | 53.7億美元 |
複合年成長率(%) | 25.62% |
增加影像和視訊格式的醫療資料收集
醫療保健音訊資料通常包括患者訪談、醫生口頭記錄和遠端醫療諮詢錄音。醫療保健語音資料通常會被轉錄以進行進一步分析、定性分析,並整合到醫療記錄中,以幫助訓練用於診斷和患者護理的語音輔助人工智慧。醫療保健中的影像和影像資料包括 X 光、MRI 和電腦斷層掃描等醫學影像記錄、手術記錄和教育醫學影像。影像和影像資料對於影像診斷、影像識別的人工智慧訓練、提高手術精確度和遠端醫療應用至關重要。基於文字的醫療保健資料包括數字和手寫患者記錄、臨床試驗報告和醫學研究文章的收集和分析。基於文字的醫療保健資料需要使用自然語言處理 (NLP) 工具進行處理,以挖掘醫療記錄、開發臨床決策支援系統並建立無組織的醫療資料。
最終用戶:保險公司將醫療資料用於申請處理的各種用途
在生物技術領域,高通量篩檢資料、遺傳資訊和臨床試驗資料支持新藥發現和個人化醫療。牙科專業人員和組織需要患者資料、治療記錄和影像資料來改善患者照護和實踐管理。診斷中心採用醫療保健資料收集和標籤解決方案,優先收集放射學、病理學和實驗室測試結果的資料。醫院處於患者照護的第一線,需要全面的 EHR資料、業務資料和患者照護分析來改善健康結果和效率。保險公司需要準確的病患資料來進行風險評估、承保和申請處理。醫療設備和製藥業特別熱衷於標記人工智慧醫療設備中使用的影像和感測器資料,因為準確的資料標記對於法規遵循、病患安全和個人化設備創新至關重要。學術機構和公司的研發中心使用有關新興健康趨勢、生物醫學研究和創新醫療解決方案的資料,包括基因組序列測定、生物標記發現和轉化醫學的廣泛研究。
區域洞察
美洲醫療保健市場的特點是對科技的大量投資和強力的法律規範。在全球最大的醫療保健市場美國,消費者對資料主導的醫療保健解決方案有著強烈的需求,電子健康記錄(EHR) 和健康分析工具的廣泛使用就反映了這一點。隨著人們對個人化醫療和數位健康的興趣增加,加拿大醫療保健展現了強大的公共衛生系統。歐盟的醫療保健部門優先考慮公平和質量,並透過加強醫療保健資料收集強調以患者為中心的護理。在歐洲、中東和非洲地區,客戶對個人化醫療保健和行動醫療解決方案的偏好不斷增加,推動了該地區的市場成長。亞太地區受到經濟發展、人口成長和醫療改革的推動。中國、日本和印度等國家處於領先地位,其特點是對負擔得起的醫療保健解決方案的需求以及不斷擴大的私人醫療保健產業。
FPNV定位矩陣
FPNV 定位矩陣對於評估醫療資料收集和標籤市場至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出明智的決策。根據評估,供應商被分為四個成功程度不同的像限: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,可以對醫療保健資料收集和標籤市場中供應商的現狀進行深入而深入的研究。全面比較和分析供應商在整體收益、基本客群和其他關鍵指標方面的貢獻,以便更好地了解公司的績效及其在爭奪市場佔有率時面臨的挑戰。此外,該分析還提供了對該行業競爭特徵的寶貴見解,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。詳細程度的提高使供應商能夠做出更明智的決策並制定有效的策略,從而在市場上獲得競爭優勢。
1. 市場滲透率:提供有關主要企業所服務的市場的全面資訊。
2. 市場開拓:我們深入研究利潤豐厚的新興市場,並分析其在成熟細分市場的滲透率。
3. 市場多元化:提供有關新產品發布、開拓地區、最新發展和投資的詳細資訊。
4.競爭評估與資訊:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況、製造能力等進行全面評估。
5. 產品開發與創新:提供對未來技術、研發活動和突破性產品開發的見解。
1.醫療保健資料收集和標籤市場的市場規模和預測是多少?
2.在醫療資料收集和標籤市場的預測期內,需要考慮投資哪些產品、細分市場、應用程式和領域?
3. 醫療保健資料收集和標籤市場的技術趨勢和法規結構是什麼?
4.醫療資料採集和標籤市場主要供應商的市場佔有率是多少?
5. 進入醫療保健資料收集和標籤市場的適當型態和策略手段是什麼?
[181 Pages Report] The Healthcare Data Collection & Labeling Market size was estimated at USD 1.08 billion in 2023 and expected to reach USD 1.36 billion in 2024, at a CAGR 25.62% to reach USD 5.37 billion by 2030.
The healthcare data collection and labeling market encompasses services, software, and platforms used for gathering, annotating, and validating various types of health-related information. The ongoing technological advancements in AI and machine learning drive the demand for annotated healthcare datasets worldwide. The need for compliance with data protection laws such as GDPR and HIPAA fuels the market for secure and reliable data handling solutions. The increasing healthcare data volume from various sources necessitates sophisticated labeling tools. However, stricter data privacy regulations can limit access to personal health information, which is crucial for dataset creation. Ensuring the high quality of labeled data consistently across massive datasets is challenging for market growth. Moreover, the adoption of cloud-based solutions for data annotation improves the scalability and efficiency of healthcare data collection, creating opportunities for market growth. The integration with Electronic Health Records (EHR) streamlines data collection and annotation, creating opportunities for market growth.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 1.08 billion |
Estimated Year [2024] | USD 1.36 billion |
Forecast Year [2030] | USD 5.37 billion |
CAGR (%) | 25.62% |
Type: Increasing healthcare data collection in image and video format
Healthcare audio data typically includes recordings of patient interviews, doctor's verbal notes, and telemedicine consultations. Healthcare audio data is often transcribed and labeled for further analysis or integration into health records useful for qualitative analysis and training voice-assisted AI used in diagnostics and patient care. Image and video data in healthcare include medical imaging records such as X-rays, MRIs, and CT scans, as well as surgical procedure recordings and educational medical footage. Image and video data is integral for diagnostic imaging, training AI for image recognition, enhancing surgical precision, and telemedicine applications. Text-based healthcare data entails collecting and analyzing digital and handwritten patient records, clinical trial reports, and medical research papers. Text-based healthcare data requires processing via natural language processing (NLP) tools for mining medical records, developing clinical decision support systems, and structuring unorganized health data.
End-Users: Diverse utilization of healthcare data by insurance companies for claims processing
In the biotechnology sector, high-throughput screening data, genetic information, and clinical trial data support new drug discovery and personalized medicine. Dental professionals and organizations require patient demographic data, treatment records, and imaging data for improved patient care and practice management. Diagnostic centers prioritize data collection relating to radiology, pathology, and laboratory test results, adopting healthcare data collection & labeling solutions. Hospitals are on the front lines of patient care, requiring comprehensive EHR data, operational data, and patient care analytics to improve health outcomes and efficiency. Insurance companies need accurate patient data for risk assessment, policy underwriting, and claims processing. As accurate data labeling is vital for regulatory compliance, patient safety, and personalized device innovation, the medical device and pharmaceutical industry is particularly keen on labeling imaging and sensor data for use in AI-powered medical devices. Research and development centers within academic and corporate settings use data on emerging health trends, biomedical research, and innovative healthcare solutions, requiring extensive datasets for genome sequencing, biomarker discovery, and translational medicine.
Regional Insights
The healthcare market in the Americas is characterized by significant investments in technology and a robust regulatory framework. In the United States, the world's largest healthcare market, there is a profound consumer need for data-driven healthcare solutions, reflected in the extensive use of electronic health records (EHRs) and health analytics tools. Canadian healthcare displays a strong public health system with increasing interest in personalized medicine and digital health initiatives. The European Union's healthcare sector prioritizes equity and quality, emphasizing patient-centered care through enhancing healthcare data collection. There is a growing customer preference for personalized healthcare and mobile health solutions within the EMEA region, contributing to the market growth in the region. The Asia-Pacific region is driven by economic development, population growth, and healthcare reform. Countries such as China, Japan, and India are at the forefront, characterized by a demand for affordable healthcare solutions and an expanding private healthcare sector in the region.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Healthcare Data Collection & Labeling Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis 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: 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 examination of the current state of vendors in the Healthcare Data Collection & Labeling Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. 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 this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Healthcare Data Collection & Labeling Market, highlighting leading vendors and their innovative profiles. These include Alegion, Inc., Anolytics, Appen Limited, Athenahealth, CapeStart Inc., Centaur Labs Inc., CloudFactory Limited, Co One OU, Cogito Tech LLC, DataLabeler Inc., Five Splash Infotech Pvt. Ltd., iMerit Inc., Infolks Private Limited, Innodata Inc., ISHIR, Jotform Inc., Keymakr Inc., Labelbox, Inc., Mindy Support, Shaip, Sheyon Technologies, Skyflow Inc., Snorkel AI, Inc., Summa Linguae Technologies, and V7 Ltd..
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Healthcare Data Collection & Labeling Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Healthcare Data Collection & Labeling Market?
3. What are the technology trends and regulatory frameworks in the Healthcare Data Collection & Labeling Market?
4. What is the market share of the leading vendors in the Healthcare Data Collection & Labeling Market?
5. Which modes and strategic moves are suitable for entering the Healthcare Data Collection & Labeling Market?