市场调查报告书
商品编码
1518333
医疗保健大数据分析市场:依组件、部署、应用程式和最终用户划分 - 到 2030 年的全球预测Big Data Analytics in Healthcare Market by Component (Software, Hardware, Services ), Deployment (On-premise, Cloud), Application (Clinical, Financial, Operational, Population Health), and End User - Global Forecast to 2030 |
到 2030 年,医疗保健大数据分析市场预计将达到 952 亿美元,2023 年至 2030 年复合年增长率为 13.8%。
经过广泛的二次和初步研究以及对医疗保健市场场景中的大数据分析的深入分析,本报告包括对关键行业驱动因素、市场限制、课题和机会的分析。EMR 和 EHR 的日益普及、医疗保健 IT 领域的投资不断增加,以及从基于数量的护理转向基于价值的护理,正在推动医疗保健大数据分析市场的成长。然而,新兴国家IT基础设施的限制预计将限制该市场的成长。对基于云端的分析解决方案的日益青睐预计将为医疗保健大数据分析市场提供重大成长机会。日益严重的安全问题和缺乏熟练的数据专业人员是市场成长的课题。
(註:将提供前5名企业的SWOT分析)
Big Data Analytics in Healthcare Market Size, Share, Forecast, & Trends Analysis by Component (Software, Hardware, Services [Descriptive, Prescriptive, Diagnostic]) Application (Clinical, Financial, Operational) Deployment, End User-Global Forecast to 2030
The big data analytics in healthcare market is projected to reach $95.2 billion by 2030, at a CAGR of 13.8% from 2023 to 2030.
Succeeding extensive secondary and primary research and in-depth analysis of the big data analytics in healthcare market scenario, the report comprises the analysis of key industry drivers, restraints, challenges, and opportunities. The rising adoption of EMR & EHR, increasing investments in the healthcare IT sector, and a shift from volume to value-based care are driving the growth of the big data analytics in healthcare market. However, IT infrastructural constraints in developing countries are expected to restrain the growth of this market. Growing preference for cloud-based analytics solutions is expected to offer significant growth opportunities for the big data analytics in healthcare market. Growing security concerns and a lack of skilled data professionals are challenging the market growth.
The report offers a competitive landscape based on an extensive assessment of the product portfolio offerings, geographic presences, and key strategic developments adopted by leading market players in the industry over four years (2020-2024). The key players operating in the global big data analytics in healthcare market report are GE HealthCare Technologies Inc. (U.S.), Optum, Inc. (U.S.), CSL Limited (Australia), Veradigm LLC (U.S.), Inovalon (U.S.), The International Business Machines Corporation (U.S.), McKesson Corporation (U.S.), KT Corporation (South Korea), Epic Systems Corporation (U.S.), and Cerner Corporation (U.S.).
Based on component, the big data analytics in healthcare market is segmented into hardware, software, and services. In 2023, the services segment is expected to account for the largest share of the big data analytics in healthcare market. The services segment is further divided into descriptive, prescriptive, predictive, and diagnostic. In 2023, the prescriptive services segment is expected to account for the largest share of the big data analytics in the healthcare services market. Healthcare organizations are increasingly using big data analytics services for the data analysis of drug utilization, purchasing patterns, and checking inventory levels. The largest share of this market is attributed majorly to the shifting trend from volume-based care to value-based care; predictive analytics services provide data security, reduced operational costs, and improved care.
Based on deployment mode, the global big data analytics in healthcare market is segmented into on-premise and cloud-based/web-based. The cloud-based segment is expected to grow at the highest CAGR during the forecast period. Using cloud-based systems does not involve hardware installation and maintenance costs and does not require maintaining in-house IT maintenance and support teams.
Among all the applications studied in this report, in 2023, the financial analysis segment is expected to have the largest share in the big data analytics in healthcare market. The largest share of the segment is attributed to the increasing focus of the healthcare industry on revenue cycle management, cost management, and claims management.
Among all the end users studied in this report, the hospitals & clinics segment is expected to grow at the highest CAGR during the forecast period. The highest CAGR of the segment is attributed to the increasing emphasis of hospitals & clinics to deliver cost-effective care to patients, the necessity to manage patient records, improved disease surveillance, and better patient management.
An in-depth analysis of the geographical scenario of the global big data analytics in healthcare market provides detailed qualitative and quantitative insights into the five major geographies (North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa) along with the coverage of major countries in each region.
Among all geographies studied in this report, Asia-Pacific is expected to grow at the highest CAGR over the forecast period. The highest CAGR of the region is attributed to the efforts to digitalize the healthcare infrastructure in India, China, and other emerging economies, investments & reforms to modernize China's healthcare infrastructure, and the need to manage the burden of chronic diseases.
Big Data Analytics in Healthcare Market, by Component
Big Data Analytics in Healthcare Market, by Deployment Mode
Big Data Analytics in Healthcare Market, by Application
Other applications include product analytics, risk analytics, and real-time analytics.
Big Data Analytics in Healthcare Market, by End User
Big Data Analytics in Healthcare Market, by Geography
(Note: SWOT Analysis of the Top 5 Companies Will Be Provided)