醫療保健資料收集和標籤市場報告：趨勢、預測和競爭分析（至 2031 年）

全球醫療保健資料收集和標籤市場前景光明，醫院、診所和其他市場都存在機會。預計到 2031 年，全球醫療保健資料收集和標籤市場規模將達到 33 億美元，2025 年至 2031 年的複合年成長率為 24.1%。該市場的主要驅動力是醫療保健行業的成長、醫療保健領域對人工智慧和機器學習的日益普及，以及對個人化和遠端患者監護的偏好日益成長。

• Lucintel 表示，由於醫療保健產業擴大採用人工智慧演算法，預計預測期內影像/影片將成為資料類型中成長最快的類型。
• 根據最終用途，醫院預計仍將是最大的部分。
• 從地區來看，北美將在預測期內繼續保持最大地區地位，這得益於其完善的醫療保健體系、先進的醫療設施以及醫療保健領域採用人工智慧和機器學習。

醫療資料收集和標籤市場的策略性成長機會

技術發展的進步、資料的合理使用以及不斷發展的健康問題正在為各個行業的醫療保健資料收集和標籤市場創造新的策略成長機會。相關相關人員可以分配和利用這些機會來提高他們在各自行業中的地位並改變他們的性質。

• AI綜合資料標註的發展：AI綜合資料標註的發展為資料標註過程的自動化和品質提升提供了機會。 AI演算法可以加速整個標記過程並更有效地管理大量資料。
• 巨量資料分析工具的應用：巨量資料分析工具的建構也為從現有的健康資料中提取有價值資訊提供了機會。提供預測和趨勢發現分析工具。
• 增強遠端監控技術：無線醫療設備和手持遠端監控設備可實現即時互動收集資料，同時全年監控患者。這些技術將加快醫療保健服務並增加提供者的興趣。
• 提供者組織透過有意義的使用整合健康資訊科技：封閉的 ICT 系統使得與醫療保健客戶的互動變得困難。因此，許多機構都在爭相實施跨站點 EHR 系統來管理其不同的醫療部門。因為這關係到患者的健康，所以這一點尤其必要。
• 專注於資料隱私和安全解決方案：人們的注意力已經轉向資料隱私和安全解決方案，從而開發強大的資料安全系統並遵守法律法規。為了維護患者的信任，必須努力保護機密資訊。

醫療保健資料收集和標籤市場的成長動力包括基於人工智慧的資料標籤和處理、巨量資料分析、遠端監控系統、整合 EHR 系統以及資料系統內的隱私解決方案。利用這些機會將推動改善資料管理、提高醫療服務品質和醫療服務效率。

醫療保健資料收集和標籤市場促進因素和挑戰

醫療資料收集和標籤市場極為重要，因為支持它的因素是其成長和發展的驅動力和挑戰。科學、臨床技術、社會、臨床經濟和法律方面通常推動著市場的發展，因此必須將其納入考量。相關人員需要了解這些因素才能進入市場。

推動醫療保健資料收集和標籤市場的因素包括：

• 技術進步：人工智慧、巨量資料和遠端監控技術的顯著成長正在加速醫療資料的收集和標記。這些技術確保了所收集資料的有效和準確的處理。
• 對準確資料的需求不斷增加：需要更準確、精確和可靠的醫療保健資料來支持臨床業務、研究和循證患者照護的決策。這是醫療保健服務的一個重要方面。
• 擴展數位健康技術：隨著 EHR 和行動醫療應用程式等數位健康技術的使用不斷擴大，對高效資料收集和標記的需求也在不斷成長。為了使這些技術正常發揮作用，需要足夠的資料。
• 監管合規性要求：法律問題，尤其是圍繞 GDPR 和 HIPAA 的問題，增加了對安全和可接受的資料處理實務的需求。監管是資料收集和標籤流程變革的關鍵促進因素。
• 更重視以病人為中心的護理：由於更重視以病人為中心的護理，對全面、無錯誤、可靠和可用的病人資料的需求正在成長。以患者為中心的模式應以充足的資料為基礎，以推動治療和管理。

醫療資料收集和標籤市場面臨的挑戰是：

• 資料隱私和安全問題：資料隱私和安全問題正在阻礙醫療保健資料收集和標籤市場的成長。為了維護患者的信任，必須保護敏感的醫療資訊。
• 資料整合的複雜性：整合來自各種系統和介面的資料是複雜且具有挑戰性的。這包括確保來自多個來源的資料協調一致，以便能夠一致地使用。
• 新技術高成本：市場上先進的資料收集和標記技術成本高昂，這使得許多用戶，尤其是預算有限的小型組織，沒有動力使用。

醫療保健資料收集和標籤市場受到對準確資料的需求不斷增加、技術進步、數位健康的擴展、法規遵從性以及以患者為中心的護理等因素的影響。然而，挑戰包括隱私和安全問題、資料整合的複雜性以及高技術成本。相關人員需要解決這些市場促進因素和挑戰，以便在市場中策略性地定位自己，改善他們的資料管理策略，並推動醫療服務的進步。

目錄

第1章執行摘要

第2章全球醫療保健資料收集與標籤市場：市場動態

• 簡介、背景和分類
• 供應鏈
• 產業驅動力與挑戰

第3章市場趨勢與預測分析（2019-2031）

• 宏觀經濟趨勢（2019-2024）及預測（2025-2031）
• 全球醫療保健資料收集與標籤市場趨勢（2019-2024 年）及預測（2025-2031 年）
• 全球醫療資料收集和標記市場（按資料類型）
  • 圖片/影片
  • 聲音的
  • 文章
• 全球醫療保健資料收集和標籤市場（按最終用途）
  • 醫院
  • 診所
  • 其他

第4章區域市場趨勢與預測分析（2019-2031）

• 全球醫療資料收集和標籤市場（按地區）
• 北美醫療資料收集和標籤市場
• 歐洲醫療保健資料收集和標籤市場
• 亞太醫療保健資料收集和標籤市場
• 世界其他地區的醫療資料收集和標籤市場

第5章 競爭分析

• 產品系列分析
• 營運整合
• 波特五力分析

第6章 成長機會與策略分析

• 成長機會分析
  • 全球醫療保健資料收集和標籤市場成長機會（按資料類型）
  • 全球醫療保健資料收集和標籤市場成長機會（按最終用途）
  • 全球醫療保健資料收集和標籤市場各區域成長機會
• 全球醫療資料收集和標籤市場的新趨勢
• 戰略分析
  • 新產品開發
  • 全球醫療資料收集和標籤市場的產能擴張
  • 全球醫療保健資料收集和標籤市場的企業合併
  • 認證和許可

第7章主要企業簡介

• Alegion
• Labelbox
• iMerit
• Cogito Tech
• Appen
• Shaip
• Snorkel AI
• Infloks
• Datalabeller
• Centaur Labs

The future of the global healthcare data collection and labeling market looks promising with opportunities in hospitals, clinics, and others markets. The global healthcare data collection and labeling market is expected to reach an estimated $3.3 billion by 2031 with a CAGR of 24.1% from 2025 to 2031. The major drivers for this market are growth in the healthcare industry, increasing adoption of AI and ML in healthcare, and rising preference towards personalized and remote patient monitoring.

• Lucintel forecasts that, within the data type category, image/video is expected to witness the highest growth over the forecast period due to the growing implementation of artificial intelligence algorithms in the healthcare industry.
• Within the end use category, hospitals will remain the largest segment.
• In terms of regions, North America will remain the largest region during the forecast period due to the presence of well-established healthcare systems, sophisticated medical facilities, and the adoption of AI and machine learning in healthcare.

Gain Valuable insights for your business decisions with our comprehensive 150+ page report.

Emerging Trends in the Healthcare Data Collection and Labeling Market

This is the sentence defining the research area and objectives/focus of the paper. The market for healthcare data collection and labeling is becoming dynamic due to developments in technology, policy transformations, and the increased demand for accurate health data. Other emerging areas are changing the phenomenon of healthcare data management and the methods of data collection, processing, and usage. Understanding these trends is important, especially for market players, to keep up with the market and exploit opportunities.

• Inclusion of Artificial Intelligence in Processes: More and more healthcare data collection and labeling activities are incorporating AI technologies. AI algorithms are used to expedite data annotation, improve precision, and enhance analytics.
• Growing Interest in Big Data Analysis: There has been increased adoption of big data analytics in healthcare to gain insights from large quantities of data. Novel analytics help with trend spotting, outcome prediction, and facilitating stratum-specific therapies.
• Focus on Data Privacy and Security: Given the rise in data breaches and privacy intrusions, the emphasis on data privacy and security cannot be overstated. Enforcement is required for practices such as GDPR and HIPAA, which necessitate secure handling of data.
• Adoption of Standardized Data Formats: Increasingly, there is a shift toward the use of standardized data formats and procedures for sharing electronic health records. This makes it easier to share and integrate data flowing between different health organizations and systems.
• Development of Remote Data Collection Technologies: Such technologies are becoming prevalent in the form of wearable devices or mobile health applications, especially in multidisciplinary health research. They enable seamless and frequent communication between researchers and subjects.

Some trends resulting in changes to the healthcare data collection and labeling industry include, but are not limited to: the integration of AI in services, analytics of big data, privacy and security of data, uniformity in data structure, and remote data collection technologies. These trends improve performance by increasing the accuracy of data and enhancing people's experience in the healthcare industry.

Recent Developments in the Healthcare Data Collection and Labeling Market

Over the years, the healthcare data collection and labeling market has seen several changes in technology, legislation, and the interest in data accuracy and efficiency. These changes are setting the direction for healthcare data management, affecting how data is collected, processed, and utilized.

• AI-Driven Data Labeling Solutions: Data management is undergoing a revolution with the deployment of AI-powered data labeling solutions. By integrating AI strategies into algorithms, the labeling of data in analytic processes is automated, enhancing efficiency in speed and accuracy.
• Enhanced Data Privacy Regulations: New and updated data privacy regulations, such as GDPR and HIPAA, are reshaping data collection and data branding activities. This emphasizes the need for safety and legality in the investments made by these regulatory bodies.
• Growth of Big Data Analytics Platforms: The growth of platforms such as big data analytics is enabling healthcare organizations to manage vast databases comfortably. These insights have proven crucial for decision-making and research purposes.
• Adoption of Remote Monitoring Technologies: The adoption of remote monitoring technologies, which include wearables and mobile health applications, is increasing the coverage of data collection. These technologies assist in monitoring health in real-time.

Some recent breakout trends and events taking place in the healthcare data collection and labeling market include: AI services, increased privacy regulations, big data analytics services/infrastructure, EHR interoperability standards, and remote monitoring technologies. These trends foster creativity and improve data management. They will redefine the healthcare data collection and labeling process in the future, enhancing healthcare services.

Strategic Growth Opportunities for Healthcare Data Collection and Labeling Market

Due to increasing technological developments, proper use of data, and evolving health issues, new strategic growth opportunities in the healthcare data collection and labeling market are emerging across all sectors. These opportunities, when divided and capitalized on by relevant stakeholders, can enhance positions in respective industries and transform their nature.

• Development of AI-Inclusive Data Labeling: The development of AI-inclusive data labeling presents opportunities to automate or enhance the quality of data annotation processes. With AI algorithms, the entire process of labeling can be made faster and more effective in managing large amounts of data.
• Applications of Big Data Analytics Tools: The construction of big data analytics tools also provides opportunities to extract valuable information from available health data. Predictive analytics and trend-searching analytics tools are available.
• Enhancement of Remote Monitoring Technologies: Wireless medical devices and remote monitoring handheld devices allow real-time interactions for data collection while monitoring patients year-round. These technologies promote healthcare delivery and create interest among health providers.
• Integration of Health Information Technology by Provider Organizations through Meaningful Use: Engaging with healthcare clients becomes difficult when their ICT systems are closed. That is why many agencies are moving quickly to implement cross-site EHR systems that control diverse medical sectors. This is particularly necessary as it relates to patient health.
• Attention Shifting to Data Privacy and Security Solutions: Attention is shifting toward data privacy and security solutions, which are leading to the development of robust data security systems and adherence to legal provisions. Efforts to secure sensitive information are necessary to maintain patient trust.

An impetus for growth in the healthcare data collection and labeling market includes AI-based data labeling and processing, big data analytics, remote monitoring systems, integrated EHR systems, and privacy solutions within data systems. Taking advantage of such opportunities facilitates growth in data management, quality care delivery, and efficiency in healthcare service provision.

Healthcare Data Collection and Labeling Market Driver and Challenges

The healthcare data collection and labeling market is critical because the factors that support it are the drivers or challenges to its growth and development. In most cases, scientific and clinical technology, social, clinical economies, and legal aspects must be considered, as they drive the market. Stakeholders need to understand these factors to tap into the market proficiently.

The factors responsible for driving the healthcare data collection and labeling market include:

• Technological Advancements: There has been spectacular growth in AI, big data, and telemonitoring technologies, accelerating the collection and labeling of healthcare data. These technologies ensure efficiency in processing and accuracy of the data collected.
• Increasing Demand for Accurate Data: More accurate, precise, and trustworthy healthcare data is required to aid decision-making in clinical work, research, and evidence-based patient care. This is a critical aspect of healthcare provision.
• Expansion of Digital Health Technologies: With the increased usage of digital health technologies such as EHRs and mobile health applications, there is also a corresponding need for efficient data collection and labeling. These technologies require sufficient data to function properly.
• Regulatory Compliance Requirements: There is a growing need for secure and acceptable methods of data handling due to legalities, especially concerning GDPR and HIPAA. Regulations are key drivers in altering data collection and labeling processes.
• Rising Focus on Patient-Centric Care: The demand for comprehensive, error-free, reliable, and useful patient data is growing due to the increasing focus on patient-centric care. Patient-centric models should be supported by sufficient data to facilitate treatment and management.

Challenges in the healthcare data collection and labeling market include:

• Data Privacy and Security Concerns: Data privacy and security concerns hinder the growth of the healthcare data collection and labeling market. Sensitive health information must be protected to maintain patient trust.
• Data Integration Complexity: Data integration from various systems and interfaces is complex and presents a challenge. This involves ensuring that data from multiple sources is harmonized and can be used consistently.
• High Costs of New Technologies: Advanced data collection and labeling technologies available in the market are costly, which discourages many users, especially small organizations with limited budgets.

The market for healthcare data aggregation and tagging services is influenced by factors such as growing demand for precise data, technological advancements, expansion of digital health, legal compliance, and a focus on patient-oriented care. On the flip side, challenges include privacy and security issues, data integration complexity, and the high cost of technology. Stakeholders need to address these drivers and challenges to strategically position themselves in the market, improve data management strategies, and enable progress in healthcare services.

List of Healthcare Data Collection and Labeling Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies healthcare data collection and labeling companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the healthcare data collection and labeling companies profiled in this report include-

• Alegion
• Labelbox
• Imerit
• Cogito Tech
• Appen
• Shaip
• Snorkel AI
• Infloks
• Datalabeller
• Centaur Labs

Healthcare Data Collection and Labeling by Segment

The study includes a forecast for the global healthcare data collection and labeling market by data type, end use, and region.

Healthcare Data Collection and Labeling Market by Data Type [Analysis by Value from 2019 to 2031]:

• Image/Video
• Audio
• Text

Healthcare Data Collection and Labeling Market by End Use [Analysis by Value from 2019 to 2031]:

• Hospitals
• Clinics
• Others

Healthcare Data Collection and Labeling Market by Region [Analysis by Value from 2019 to 2031]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the Healthcare Data Collection and Labeling Market

There have been many improvements in the healthcare data collection and labeling market as healthcare organizations and technology providers continue to seek ways to enhance the accuracy of the data obtained, the patient experience, and fulfill legal obligations. Recent trends in data integration, AI, and improvements to the regulatory environment have changed how healthcare data is collected, managed, and annotated. These changes provide the impetus to seek newer forms of health information that are more effective, precise, and actionable for the healthcare sector, ultimately enhancing the quality of care for patients.

• United States: In the United States, progress has been made in using AI and machine learning in the healthcare data labeling process. Advanced algorithms are now applied to automatically annotate data, cutting down the time required for data annotation and improving quality. There is also constant advocacy for greater standardization of data formats and increased interoperability to improve data sharing between healthcare providers. Other recent regulations, such as the 21st Century Cures Act, have also influenced how data is collected, actively pushing for the availability of patients' health data and the adoption of electronic health records (EHRs).
• China: With increased expenditure on digital health technologies and AI, the Chinese healthcare data collection and annotation market is witnessing rapid growth. The national government is formulating policies aimed at improving infrastructure and access to healthcare data, as outlined in the Healthy China 2030 plan. There is also an emphasis on creating sophisticated data platforms for big data analytics and enhancing data labeling capabilities for precision and personalized medicine. Companies are also using AI to automate the management, classification, and analysis of medical records and imaging data.
• Germany: Emerging trends in Germany in healthcare data collection and labeling include changes in data privacy laws and integration with digital health technologies. New policies, such as the Digital Healthcare Act (DVG), are advancing digital health apps and EHRs, making the data collection and labeling process more user-friendly. Efforts are focused on avoiding breaches of GDPR while utilizing new technologies to enhance data processing and analytics capabilities. Technologies that improve data accuracy and facilitate data tagging processes are gaining attention from German firms.
• India: The market for healthcare data collection and labeling in India is on the rise, driven by the increasing use of electronic solutions like EHRs. Recent developments include low-cost data visualization and the incorporation of the National Digital Health Mission, which aims for a holistic approach to digital health integration. Improved methods of data collection, including the integration of AI to enhance data labeling, are becoming the focus of companies. The goal is to provide affordable, scalable services that meet the needs of India's healthcare system, including its underserved rural and remote areas.
• Japan: In Japan, new initiatives are further enhancing efforts in healthcare data collection and labeling. The integration of novel AI and machine learning techniques is improving data acquisition and processing. The government is advocating for a shift to digital health record systems, supported by agencies such as the Japan Agency for Medical Research and Development. Additionally, there is an increasing focus on data integration from disparate systems to enhance patient well-being and treatment efficacy. Japanese companies are also working on data labeling solutions that improve interoperability and facilitate the data acquisition process.

Features of the Global Healthcare Data Collection and Labeling Market

Market Size Estimates: Healthcare data collection and labeling market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.

Segmentation Analysis: Healthcare data collection and labeling market size by data type, end use, and region in terms of value ($B).

Regional Analysis: Healthcare data collection and labeling market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different data types, end uses, and regions for the healthcare data collection and labeling market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the healthcare data collection and labeling market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

If you are looking to expand your business in this market or adjacent markets, then contact us. We have done hundreds of strategic consulting projects in market entry, opportunity screening, due diligence, supply chain analysis, M & A, and more.

This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the healthcare data collection and labeling market by data type (image/video, audio, and text), end use (hospitals, clinics, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Healthcare Data Collection and Labeling Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2019 to 2031

• 3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
• 3.2. Global Healthcare Data Collection and Labeling Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global Healthcare Data Collection and Labeling Market by Data Type
  • 3.3.1: Image/Video
  • 3.3.2: Audio
  • 3.3.3: Text
• 3.4: Global Healthcare Data Collection and Labeling Market by End Use
  • 3.4.1: Hospitals
  • 3.4.2: Clinics
  • 3.4.3: Others

4. Market Trends and Forecast Analysis by Region from 2019 to 2031

• 4.1: Global Healthcare Data Collection and Labeling Market by Region
• 4.2: North American Healthcare Data Collection and Labeling Market
  • 4.2.1: North American Market by Data Type: Image/Video, Audio, and Text
  • 4.2.2: North American Market by End Use: Hospitals, Clinics, and Others
• 4.3: European Healthcare Data Collection and Labeling Market
  • 4.3.1: European Market by Data Type: Image/Video, Audio, and Text
  • 4.3.2: European Market by End Use: Hospitals, Clinics, and Others
• 4.4: APAC Healthcare Data Collection and Labeling Market
  • 4.4.1: APAC Market by Data Type: Image/Video, Audio, and Text
  • 4.4.2: APAC Market by End Use: Hospitals, Clinics, and Others
• 4.5: ROW Healthcare Data Collection and Labeling Market
  • 4.5.1: ROW Market by Data Type: Image/Video, Audio, and Text
  • 4.5.2: ROW Market by End Use: Hospitals, Clinics, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global Healthcare Data Collection and Labeling Market by Data Type
  • 6.1.2: Growth Opportunities for the Global Healthcare Data Collection and Labeling Market by End Use
  • 6.1.3: Growth Opportunities for the Global Healthcare Data Collection and Labeling Market by Region
• 6.2: Emerging Trends in the Global Healthcare Data Collection and Labeling Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global Healthcare Data Collection and Labeling Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Healthcare Data Collection and Labeling Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Alegion
• 7.2: Labelbox
• 7.3: iMerit
• 7.4: Cogito Tech
• 7.5: Appen
• 7.6: Shaip
• 7.7: Snorkel AI
• 7.8: Infloks
• 7.9: Datalabeller
• 7.10: Centaur Labs