The global healthcare big data analytics market size was nearly USD 22.5 billion in 2020. The industry is further expected to grow at a CAGR of 15% in the forecast period of 2023-2028 attain USD 52 billion by 2026.
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The market is being driven by the rapid technological advancements and the growing need tenhance productivity in the healthcare sector. The software segment, among other components, dominates the industry. By analytics-type, descriptive analytics segment leads the global industry. Currently, the on-premise delivery model is mostly preferred by organisations. Among different application sectors, big data is most commonly used for financial analytics.
Region-wise, North America dominates the global healthcare big data analytics industry, accounting for the majority of the total market share. The growth of the market in the region can be attributed tthe factors like increased acceptance of technology, availability of advanced services, and growing investment in the healthcare sector by the government and private organisations.
Big data analytics is an advanced type of analytics that consists of a range of computational algorithms and predictive models powered by high-performance analytics systems. Such technologies provide many competitive advantages in the healthcare sector with high-powered computing systems, such as efficient marketing, new sales opportunities, increased operating performance, and enhanced patient care.
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On the basis of component, the global healthcare big data analytics industry is divided into:
On the basis of analytics type, the industry can be further segmented into:
Based on delivery model, the industry has been bifurcated into:
It finds applications in sectors such as:
On the basis of end use, the industry is divided into:
The report alscovers the regional markets for healthcare big data analytics like North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
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The healthcare big data analytics industry has been witnessing a healthy growth with the rising acceptance of technology in the healthcare sector and the growing focus tenhance productivity in hospitals and clinics. The generation of a large volume of data, owing tthe growing patient pool, has resulted in the rapid digitisation of healthcare information. The compliance and regulatory requirements, coupled with the growing demand for improved patient care and record-keeping services, are further supporting the industry growth.
With the advancement in technology, the healthcare big data analytics industry has been experiencing a continuous evolution. At present, multiple healthcare companies, ranging from multi-provider groups and single-physician offices tlarge hospital networks, are rapidly embracing big data analytics tmaximise revenues, and offer personalised patient care services. The growing demand for big data analytics can be ascribed tthe many benefits offered by such services, which include quick and effective detection of healthcare fraud, and the study of clinical trials and medical records. In addition tthis, the growing number of competitors and increased investment in the industry with evolving legislative regulations is expected tfurther drive the industry growth over the forecast period.
The report gives a detailed analysis of the following key players in the global healthcare big data analytics market, covering their competitive landscape, capacity, and latest developments like mergers, acquisitions, and investments, expansions of capacity, and plant turnarounds:
The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis.
|Scope of the Report||
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
|Breakup by Analytics Type||
|Breakup by Component||
|Breakup by Application||
|Breakup by Delivery Model||
|Breakup by End User||
|Breakup by Region||
|Report Price and Purchase Option||Explore our purchase options that are best suited to your resources and industry needs.|
|Delivery Format||Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option.|
*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
1.1 Objectives of the Study
1.2 Key Assumptions
1.3 Report Coverage – Key Segmentation and Scope
1.4 Research Methodology
2 Executive Summary
3 Global Healthcare Big Data Analytics Market Overview
3.1 Global Healthcare Big Data Analytics Market Historical Value (2016-2022)
3.2 Global Healthcare Big Data Analytics Market Forecast Value (2023-2031)
4 Global Healthcare Big Data Analytics Market Landscape
4.1 Global Healthcare Big Data Analytics Developers Landscape
4.1.1 Analysis by Year of Establishment
4.1.2 Analysis by Company Size
4.1.3 Analysis by Region
4.2 Global Healthcare Big Data Analytics Product Landscape
4.2.1 Analysis by Analytics Type
4.2.2 Analysis by Component
4.2.3 Analysis by Applications
4.2.4 Analysis by Delivery Model
4.2.5 Analysis by End User
5 Global Healthcare Big Data Analytics Market Dynamics
5.1 Market Drivers and Constraints
5.2 SWOT Analysis
5.3 Porter’s Five Forces Model
5.4 Key Demand Indicators
5.5 Key Price Indicators
5.6 Industry Events, Initiatives, and Trends
5.7 Value Chain Analysis
6 Global Healthcare Big Data Analytics Market Segmentation
6.1 Global Healthcare Big Data Analytics Market by Analytics Type
6.1.1 Market Overview
6.1.2 Descriptive Analytics
6.1.3 Predictive Analytics
6.1.4 Prescriptive Analytics
6.1.5 Cognitive Analytics
6.2 Global Healthcare Big Data Analytics Market by Component
6.2.1 Market Overview
184.108.40.206 Electronic Health Record Software
220.127.116.11 Practice Management Software
18.104.22.168 Workforce Management Software
22.214.171.124 Data Storage
126.96.36.199 Virtual Private Networks
188.8.131.52 E-Mail Servers
6.3 Global Healthcare Big Data Analytics Market by Application
6.3.1 Market Overview
6.3.2 Financial Analytics
6.3.3 Clinical Analytics
6.3.4 Operational Analytics
6.4 Global Healthcare Big Data Analytics Market by Delivery Model
6.4.1 Market Overview
6.5 Global Healthcare Big Data Analytics Market by End User
6.5.1 Hospitals and Clinics
6.5.2 Finance and Insurance Agencies
6.5.3 Research Organizations
6.6 Global Healthcare Big Data Analytics Market by Region
6.6.1 Market Overview
6.6.2 North America
6.6.4 Asia Pacific
6.6.5 Latin America
6.6.6 Middle East and Africa
7 North America Healthcare Big Data Analytics Market
7.1 Market Share by Country
7.2 United States of America
8 Europe Healthcare Big Data Analytics Market
8.1 Market Share by Country
8.2 United Kingdom
9 Asia Pacific Healthcare Big Data Analytics Market
9.1 Market Share by Country
10 Latin America Healthcare Big Data Analytics Market
10.1 Market Share by Country
11 Middle East and Africa Healthcare Big Data Analytics Market
11.1 Market Share by Country
11.2 Saudi Arabia
11.3 United Arab Emirates
11.5 South Africa
12 Patent Analysis
12.1 Analysis by Type of Patent
12.2 Analysis by Publication year
12.3 Analysis by Issuing Authority
12.4 Analysis by Patent Age
12.5 Analysis by CPC Analysis
12.6 Analysis by Patent Valuation
12.7 Analysis by Key Players
13 Grants Analysis
13.1 Analysis by year
13.2 Analysis by Amount Awarded
13.3 Analysis by Issuing Authority
13.4 Analysis by Grant Application
13.5 Analysis by Funding Institute
13.6 Analysis by NIH Departments
13.7 Analysis by Recipient Organization
14 Funding Analysis
14.1 Analysis by Funding Instances
14.2 Analysis by Type of Funding
14.3 Analysis by Funding Amount
14.4 Analysis by Leading Players
14.5 Analysis by Leading Investors
14.6 Analysis by Geography
15 Partnership and Collaborations Analysis
15.1 Analysis by Partnership Instances
15.2 Analysis by Type of Partnership
15.3 Analysis by Leading Players
15.4 Analysis by Geography
16 Regulatory Framework
16.1 Regulatory Overview
16.1.1 US FDA
16.1.2 EU EMA
16.1.3 INDIA CDSCO
16.1.4 JAPAN PMDA
17 Supplier Landscape
17.1 Allscripts Healthcare, LLC
17.1.1 Financial Analysis
17.1.2 Product Portfolio
17.1.3 Demographic Reach and Achievements
17.1.4 Mergers and Acquisitions
17.2 Cerner Corporation.
17.2.1 Financial Analysis
17.2.2 Product Portfolio
17.2.3 Demographic Reach and Achievements
17.2.4 Mergers and Acquisitions
17.3 Health Catalyst.
17.3.1 Financial Analysis
17.3.2 Product Portfolio
17.3.3 Demographic Reach and Achievements
17.3.4 Mergers and Acquisitions
17.4 MedeAnalytics, Inc.
17.4.1 Financial Analysis
17.4.2 Product Portfolio
17.4.3 Demographic Reach and Achievements
17.4.4 Mergers and Acquisitions
17.5.1 Financial Analysis
17.5.2 Product Portfolio
17.5.3 Demographic Reach and Achievements
17.5.4 Mergers and Acquisitions
17.6 SAS Institute Inc.
17.6.1 Financial Analysis
17.6.2 Product Portfolio
17.6.3 Demographic Reach and Achievements
17.6.4 Mergers and Acquisitions
17.7 WIPRO LIMITED
17.7.1 Financial Analysis
17.7.2 Product Portfolio
17.7.3 Demographic Reach and Achievements
17.7.4 Mergers and Acquisitions
17.8 TAKE SOLUTIONS LIMITED
17.8.1 Financial Analysis
17.8.2 Product Portfolio
17.8.3 Demographic Reach and Achievements
17.8.4 Mergers and Acquisitions
17.9 Exl Service Holdings, Inc.
17.9.1 Financial Analysis
17.9.2 Product Portfolio
17.9.3 Demographic Reach and Achievements
17.9.4 Mergers and Acquisitions
17.10 McKesson Corporation
17.10.1 Financial Analysis
17.10.2 Product Portfolio
17.10.3 Demographic Reach and Achievements
17.10.4 Mergers and Acquisitions
18 Global Healthcare Big Data Analytics Market - Distribution Model (Additional Insight)
18.2 Potential Distributors
18.3 Key Parameters for Distribution Partner Assessment
19 Key Opinion Leaders (KOL) Insights (Additional Insight)
20 Company Competitiveness Analysis (Additional Insight)
20.1 Very Small Companies
20.2 Small Companies
20.3 Mid-Sized Companies
20.4 Large Companies
20.5 Very Large Companies
21 Payment Methods (Additional Insight)
21.1 Government Funded
21.2 Private Insurance
*Additional insights provided are customisable as per client requirements.
The global healthcare big data analytics market reached a value of USD 22.5 billion in 2020.
The market is projected tgrow at a CAGR of nearly 15% in the forecast period of 2023-2028.
The market is estimated treach a value of about USD 52 billion by 2026.
The major drivers of the industry include rising disposable incomes, increasing population, rapid technological advancements, increased acceptance of technology, availability of advanced services, and the rising need tenhance productivity.
The increasing number of competitors and the rising investment in the industry with evolving legislative regulations are expected tbe the key trends guiding the growth of the industry.
North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa are the leading regions in the market, with North America accounting for the largest market share.
The software segment is the dominant component of the product in the market.
Descriptive analytics is the leading analytics type of the product in the industry.
The on-premise delivery model accounts for the largest market share, among other delivery models in the industry.
The industry is dominated by the financial analytics segment, among other application segments.
The major end-uses in the industry include hospitals and clinics, finance and insurance agencies, and research organisations.
The leading players in the market are Allscripts Healthcare, LLC, Health Catalyst., Cerner Corporation., MedeAnalytics, Inc., and Cognizant, among others.
The global healthcare big data analytics market attained a value of USD 22.5 billion in 2020, driven by the increasing acceptance of technology in the healthcare sector. Aided by the favourable factors like quick and effective detection of healthcare fraud, the industry is expected twitness a further growth in the forecast period of 2023-2028, growing at a CAGR of 15%. The industry is projected treach USD 52 billion by 2026.
EMR’s meticulous research methodology delves deep intthe industry, covering the macrand micraspects of the industry. Based on its end uses, the market can be segmented inthospitals and clinics, finance and insurance agencies, and research organisations. By component, the software segment leads the industry. On the basis of analytics type, the descriptive analytics sector accounts for the largest share in the global industry. Based on delivery model, the industry can be divided inton-premise delivery model. On the basis of application, the market is led by the financial analytics segment. The leading end-uses in the industry include hospitals and clinics, finance and insurance agencies, and research organisations. The major regional markets for healthcare big data analytics are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa, with North America accounting for the largest share of the market. The key players in the above industry include Allscripts Healthcare, LLC, Health Catalyst., Cerner Corporation., MedeAnalytics, Inc., and Cognizant, among others.
EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.
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