医疗保健资料收集和标籤市场报告：趋势、预测和竞争分析（至 2031 年）

全球医疗保健资料收集和标籤市场前景光明，医院、诊所和其他市场都存在机会。预计到 2031 年，全球医疗保健资料收集和标籤市场规模将达到 33 亿美元，2025 年至 2031 年的复合年增长率为 24.1%。该市场的主要驱动力是医疗保健行业的成长、医疗保健领域对人工智慧和机器学习的日益普及，以及对个人化和远端患者监护的偏好日益增长。

• Lucintel 表示，由于医疗保健产业越来越多地采用人工智慧演算法，预计预测期内影像/影片将成为资料类型中成长最快的类型。
• 根据最终用途，医院预计仍将是最大的部分。
• 从地区来看，北美将在预测期内继续保持最大地区地位，这得益于其完善的医疗保健体系、先进的医疗设施以及医疗保健领域采用人工智慧和机器学习。

医疗资料收集和标籤市场的策略性成长机会

技术发展的进步、资料的合理使用以及不断发展的健康问题正在为各个行业的医疗保健资料收集和标籤市场创造新的策略成长机会。相关相关人员可以分配和利用这些机会来提高他们在各自行业中的地位并改变他们的性质。

• AI综合资料标註的发展：AI综合资料标註的发展为资料标註过程的自动化和品质提升提供了机会。 AI演算法可以加速整个标记过程并更有效地管理大量资料。
• 巨量资料分析工具的应用：巨量资料分析工具的建构也为从现有的健康资料中提取有价值资讯提供了机会。提供预测和趋势发现分析工具。
• 增强远端监控技术：无线医疗设备和手持远端监控设备可实现即时互动收集资料，同时全年监控患者。这些技术将加快医疗保健服务并增加提供者的兴趣。
• 提供者组织透过有意义的使用整合健康资讯科技：封闭的 ICT 系统使得与医疗保健客户的互动变得困难。因此，许多机构都在争相实施跨站点 EHR 系统来管理其不同的医疗部门。因为这关係到患者的健康，所以这一点尤其必要。
• 专注于资料隐私和安全解决方案：人们的注意力已经转向资料隐私和安全解决方案，从而开发强大的资料安全系统并遵守法律法规。为了维护患者的信任，必须努力保护机密资讯。

医疗保健资料收集和标籤市场的成长动力包括基于人工智慧的资料标籤和处理、巨量资料分析、远端监控系统、整合 EHR 系统以及资料系统内的隐私解决方案。利用这些机会将推动改善资料管理、提高医疗服务品质和医疗服务效率。

医疗保健资料收集和标籤市场驱动因素和挑战

医疗资料收集和标籤市场极为重要，因为支持它的因素是其成长和发展的驱动力和挑战。科学、临床技术、社会、临床经济和法律方面通常推动着市场的发展，因此必须将其纳入考量。相关人员需要了解这些因素才能进入市场。

推动医疗保健资料收集和标籤市场的因素包括：

• 技术进步：人工智慧、巨量资料和远端监控技术的显着成长正在加速医疗资料的收集和标记。这些技术确保了所收集资料的有效和准确的处理。
• 对准确资料的需求不断增加：需要更准确、精确和可靠的医疗保健资料来支持临床业务、研究和循证患者照护的决策。这是医疗保健服务的一个重要方面。
• 扩展数位健康技术：随着 EHR 和行动医疗应用程式等数位健康技术的使用不断扩大，对高效资料收集和标记的需求也在不断增长。为了使这些技术正常发挥作用，需要足够的资料。
• 监管合规性要求：法律问题，尤其是围绕 GDPR 和 HIPAA 的问题，增加了对安全和可接受的资料处理实务的需求。监管是资料收集和标籤流程变革的关键驱动因素。
• 更重视以病人为中心的护理：由于更重视以病人为中心的护理，对全面、无错误、可靠和可用的病人资料的需求正在增长。以患者为中心的模式应以充足的资料为基础，以推动治疗和管理。

医疗资料收集和标籤市场面临的挑战是：

• 资料隐私和安全问题：资料隐私和安全问题正在阻碍医疗保健资料收集和标籤市场的成长。为了维护患者的信任，必须保护敏感的医疗资讯。
• 资料整合的复杂性：整合来自各种系统和介面的资料是复杂且具有挑战性的。这包括确保来自多个来源的资料协调一致，以便能够一致地使用。
• 新技术高成本：市场上先进的资料收集和标记技术成本高昂，这使得许多用户，尤其是预算有限的小型组织，没有动力使用。

医疗保健资料收集和标籤市场受到对准确资料的需求不断增加、技术进步、数位健康的扩展、法规遵从性以及以患者为中心的护理等因素的影响。然而，挑战包括隐私和安全问题、资料整合的复杂性以及高技术成本。相关人员需要解决这些市场驱动因素和挑战，以便在市场中策略性地定位自己，改善他们的资料管理策略，并推动医疗服务的进步。

目录

第一章执行摘要

第二章全球医疗保健资料收集与标籤市场：市场动态

• 简介、背景和分类
• 供应链
• 产业驱动力与挑战

第三章市场趋势与预测分析（2019-2031）

• 宏观经济趋势（2019-2024）及预测（2025-2031）
• 全球医疗保健资料收集与标籤市场趋势（2019-2024 年）及预测（2025-2031 年）
• 全球医疗资料收集和标记市场（按资料类型）
  • 图片/影片
  • 声音的
  • 文章
• 全球医疗保健资料收集和标籤市场（按最终用途）
  • 医院
  • 诊所
  • 其他的

第四章区域市场趋势与预测分析（2019-2031）

• 全球医疗资料收集和标籤市场（按地区）
• 北美医疗资料收集和标籤市场
• 欧洲医疗保健资料收集和标籤市场
• 亚太医疗保健资料收集和标籤市场
• 世界其他地区的医疗资料收集和标籤市场

第五章 竞争分析

• 产品系列分析
• 营运整合
• 波特五力分析

第六章 成长机会与策略分析

• 成长机会分析
  • 全球医疗保健资料收集和标籤市场成长机会（按资料类型）
  • 全球医疗保健资料收集和标籤市场成长机会（按最终用途）
  • 全球医疗保健资料收集和标籤市场各区域成长机会
• 全球医疗资料收集和标籤市场的新趋势
• 战略分析
  • 新产品开发
  • 全球医疗资料收集和标籤市场的产能扩张
  • 全球医疗保健资料收集和标籤市场的企业合併
  • 认证和许可

第七章主要企业简介

• 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.

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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.

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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