醫療保健數據收集和標籤市場、機會、成長動力、行業趨勢分析和預測，2024-2032

Healthcare Data Collection and Labeling Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: 2024年08月01日 | 出版商:

Global Market Insights Inc. | 英文 100 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

全球醫療保健數據收集和標籤市場到 2023 年價值為 9.267 億美元，預計 2024 年至 2032 年複合年成長率將實現 25.6% 的強勁成長。人工智慧 (AI) 和機器學習 (ML) 正在改變醫療保健資料收集和標籤的格局。透過自動化註釋過程，這些技術最大限度地減少了人工干預，從而提高了資料標記的速度和準確性。

整個醫療保健資料收集和標籤行業根據資料類型、最終用途和區域進行分類。

市場將資料類型分為圖像、音訊、視訊、文字等。影像領域佔據主導地位，2023資料收入為 2.888 億美元。這些影像在診斷醫療狀況、規劃治療和監測患者病情方面也發揮關鍵作用。這些影像的準確標記至關重要，有助於異常識別、了解疾病進展和手術計劃。

醫療保健資料收集和標籤市場的最終用戶涵蓋醫院和診所、診斷實驗室、研究組織、製藥公司等。醫院和診所佔據市場主導地位，預計到 2032 年將產生約 23 億美元的收入。準確的資料管理和標籤對於最佳的患者護理至關重要。鑑於醫療服務多樣化，從緊急情況到專業治療，全面的資料記錄和可近性變得更加重要。

2023年，北美醫療資料收集和標籤市場收入為3.503億美元。該地區有望在未來幾年實現顯著成長。嚴格的法規，特別是來自美國 FDA 和加拿大衛生部的法規，強調了細緻的資料收集和標籤對病人安全的重要性。這種監管環境刺激了對先進資料管理解決方案的需求。此外，北美在採用人工智慧和機器學習等技術進行資料註釋方面處於領先地位，進一步擴大了其市場成長軌跡。

產業生態系統分析
產業影響力
- 成長動力
  - 醫療保健領域擴大採用人工智慧和機器學習
  - 資料標記工具和技術的進步
  - 政府對醫療保健 IT 的措施和資助
- 產業陷阱與挑戰
  - 資料隱私和安全問題
成長潛力分析
監管環境
技術景觀
波特的分析
PESTEL分析
未來市場趨勢
差距分析

第 4 章：競爭格局

介紹
公司矩陣分析
公司股份分析
主要市場參與者的競爭分析
競爭定位矩陣
戰略儀表板

第 5 章：市場估計與預測：按資料類型，2021 - 2032

主要趨勢
影像
聲音的
影片
文字
其他資料類型

第 6 章：市場估計與預測：依最終用途，2021 - 2032 年

主要趨勢
醫院和診所
診斷實驗室
研究機構
製藥公司
其他最終用戶

第 7 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 德國
- 英國
- 法國
- 義大利
- 西班牙
- 荷蘭
- 歐洲其他地區
亞太地區
- 中國
- 日本
- 印度
- 澳洲
- 韓國
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地區
中東和非洲
- 沙烏地阿拉伯
- 南非
- 阿拉伯聯合大公國
- 中東和非洲其他地區

第 8 章：公司簡介

Alegion
Anolytics
Capestart
Centaur labs
Cogito Tech LLC
Datalabeller
iMerit
Infloks
Keymark
Labelbox, Inc.
Shaip
Snorkel AI

簡介目錄

Product Code: 10570

The Global Healthcare Data Collection and Labeling Market, valued at USD 926.7 million in 2023, is projected to witness a robust growth rate of 25.6% CAGR from 2024 to 2032. Global growth and innovation in the market are being propelled by recent technological advancements. Artificial intelligence (AI) and machine learning (ML) are transforming the landscape of healthcare data collection and labeling. By automating the annotation process, these technologies minimize manual intervention, thereby enhancing the speed and accuracy of data labeling.

The overall healthcare data collection and labeling industry is categorized based on data type, end-use, and region.

The market categorizes data types into image, audio, video, text, and others. Dominating the landscape, the image segment generated a revenue of USD 288.8 million in 2023. Technologies like MRI, CT scans, X-rays, and ultrasound produce vast image data. These images also play a pivotal role in diagnosing medical conditions, planning treatments, and monitoring patient progress. Accurate labeling of these images is paramount, aiding in anomaly identification, understanding disease progression, and surgical planning.

End-users of the healthcare data collection and labeling market span hospitals and clinics, diagnostic laboratories, research organizations, pharmaceutical companies, and more. Dominating the market, hospitals and clinics are projected to generate around USD 2.3 billion in revenue by 2032. Daily, these institutions amass extensive patient data, from medical histories to treatment plans. Accurate data management and labeling are vital for optimal patient care. Given their diverse medical services, from emergencies to specialized treatments, thorough data documentation and accessibility become even more critical.

In 2023, North America accounted for a revenue of USD 350.3 million in the healthcare data collection and labeling market. The region is poised for significant growth in the coming years. Stringent regulations, especially from the U.S. FDA and Health Canada, emphasize the importance of meticulous data collection and labeling for patient safety. This regulatory landscape fuels the demand for advanced data management solutions. Moreover, North America's leadership in adopting technologies like AI and ML for data annotation further amplifies its market growth trajectory.

Chapter 1 Methodology and Scope

1.1 Market scope and definition
1.2 Research design
- 1.2.1 Research approach
- 1.2.2 Data collection methods
1.3 Base estimates and calculations
- 1.3.1 Base year calculation
- 1.3.2 Key trends for market estimation
1.4 Forecast model
1.5 Primary research and validation
- 1.5.1 Primary sources
- 1.5.2 Data mining sources

Chapter 2 Executive Summary

2.1 Industry 360° synopsis

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Industry impact forces
- 3.2.1 Growth drivers
  - 3.2.1.1 Increasing adoption of AI and machine learning in healthcare
  - 3.2.1.2 Advancements in data labeling tools and technologies
  - 3.2.1.3 Government initiatives and funding for healthcare IT
- 3.2.2 Industry pitfalls and challenges
  - 3.2.2.1 Data privacy and security concerns
3.3 Growth potential analysis
3.4 Regulatory landscape
3.5 Technological landscape
3.6 Porter's analysis
3.7 PESTEL analysis
3.8 Future market trends
3.9 Gap analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company matrix analysis
4.3 Company share analysis
4.4 Competitive analysis of major market players
4.5 Competitive positioning matrix
4.6 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Data Type, 2021 - 2032 ($ Mn)

5.1 Key trends
5.2 Image
5.3 Audio
5.4 Video
5.5 Text
5.6 Other data types

Chapter 6 Market Estimates and Forecast, By End-use, 2021 - 2032 ($ Mn)

6.1 Key trends
6.2 Hospitals and clinics
6.3 Diagnostic laboratories
6.4 Research organizations
6.5 Pharmaceutical companies
6.6 Other end-users

Chapter 7 Market Estimates and Forecast, By Region, 2021 - 2032 ($ Mn)

7.1 Key trends
7.2 North America
- 7.2.1 U.S.
- 7.2.2 Canada
7.3 Europe
- 7.3.1 Germany
- 7.3.2 UK
- 7.3.3 France
- 7.3.4 Italy
- 7.3.5 Spain
- 7.3.6 Netherlands
- 7.3.7 Rest of Europe
7.4 Asia Pacific
- 7.4.1 China
- 7.4.2 Japan
- 7.4.3 India
- 7.4.4 Australia
- 7.4.5 South Korea
- 7.4.6 Rest of Asia Pacific
7.5 Latin America
- 7.5.1 Brazil
- 7.5.2 Mexico
- 7.5.3 Argentina
- 7.5.4 Rest of Latin America
7.6 Middle East and Africa
- 7.6.1 Saudi Arabia
- 7.6.2 South Africa
- 7.6.3 UAE
- 7.6.4 Rest of Middle East and Africa