Market Overview:
The global clinical data analytics in healthcare market is expected to grow at a CAGR of 16.5% from 2018 to 2030. The growth of the market can be attributed to the increasing demand for big data and analytics solutions in the healthcare sector, rising incidence of chronic diseases, and growing need for cost-effective and efficient healthcare delivery models. The global clinical data analytics in healthcare market is segmented on the basis of type, application, and region. On the basis of type, the market is segmented into cloud-based and on-premise solutions. Cloud-based solutions are expected to grow at a higher CAGR owing to their advantages such as low cost, scalability, easy deployment & upgradation, and fast implementation time frame as compared to on-premise solutions. On the basis of application, the market is segmented into pharmaceuticals industry (drug discovery & development), hospitals & clinics (patient care management), biotechnology industry (clinical research), medical device manufacturers (regulatory submissions), others (public health agencies). Pharmaceuticals industry accounted for majority share in 2017 owing to rising adoption rates across developed countries for advanced technologies such as big data & analytics for drug discovery purposes.
Product Definition:
Clinical data analytics is the process of transforming healthcare data into meaningful and useful information that can be used to improve patient care. The importance of clinical data analytics in healthcare is that it allows clinicians to make better decisions about patient care by providing them with insights into how patients are responding to treatment, what treatments are working best, and where there may be room for improvement. Clinical data analytics also helps hospitals and other healthcare organizations to identify areas where they can save money by improving efficiency and reducing waste.
Cloud-based:
Cloud-based solutions are expected to grow at a lucrative rate during the forecast period. This is due to factors such as increasing demand for big data, growing adoption of cloud computing in healthcare and rising security concerns. Cloud computing offers benefits such as increased access, lower cost of implementation and easy deployment which has resulted in high market growth.
On-premise:
On-premise is a term used for the software and hardware systems installed at the healthcare organization's site. It includes all types of solutions such as Electronic Health Records (EHR), clinical decision support, electronic medical records, patient engagement solutions, practice management software and other IT applications that are installed on computers within an organization or delivered to users from remote locations.
Application Insights:
The pharmaceuticals segment dominated the global clinical data analytics in healthcare market, accounting for over 25.0% share of the overall revenue in 2017. The growth can be attributed to increasing adoption of these solutions across various organizations within this sector, including but not limited to manufacturers, wholesalers and pharmacists. These companies are focusing on leveraging data collected from medical records and electronic health records (EHRs) for improving business operations by reducing costs and enhancing customer services.
Furthermore, an increase in drug discovery & development activities is expected to boost segment growth during the forecast period as it involves a large amount of clinical trial data that needs analysis for identifying patterns that may lead towards effective new therapies faster than before. However, other applications such as healthcare providers are anticipated to witness significant growth over the forecast period owing to increased adoption across multiple industry verticals such as hospitals & clinics along with primary care settings (family physicians).
Regional Analysis:
North America dominated the global market in 2017. The region is expected to maintain its position during the forecast period owing to factors such as increasing adoption of cloud-based solutions, high healthcare expenditure, and growing need for data analytics in healthcare. Moreover, presence of a large number of players with advanced technologies is also contributing toward growth in this region.
Asia Pacific is anticipated to witness lucrative growth over the forecast period due to factors such as improving infrastructure and rising awareness about e-health initiatives among people living in rural areas as well as urban centers. In addition, rapidly developing economy coupled with government support for promoting digitalization will drive demand for clinical data analytics software & services over the next eight years. Furthermore, availability of skilled labor at low cost along with rapid technological advancements are some other key drivers fueling regional market growth during the same period (from 2018 - 2030).
Growth Factors:
- Increasing demand for big data and analytics services by healthcare providers to improve operational efficiency and patient care.
- The increasing use of electronic health records (EHRs) and other clinical data by healthcare organizations is generating a large volume of data that can be analyzed to improve patient care.
- The growing use of mobile devices, social media, and other digital technologies by patients is generating a large volume of clinical data that can be analyzed to improve patient care.
- The increasing number of healthcare providers who are using Clinical Data Analytics solutions to identify opportunities for improving quality, safety, efficiency, and outcomes.
Scope Of The Report
Report Attributes
Report Details
Report Title
Clinical Data Analytics in Healthcare Market Research Report
By Type
Cloud-based, On-premise
By Application
Pharmaceuticals, Healthcare Providers, Biotechnology, Others
By Companies
Caradigm, CareEvolution, Cerner, IBM, Allscripts, Health Catalyst, Koninklijke Philips, McKesson, Optum, Oracle, InterSystems, Athenahealth, Truven Health Analytics, ActiveHealth Management, The Advisory Board
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
241
Number of Tables & Figures
169
Customization Available
Yes, the report can be customized as per your need.
Global Clinical Data Analytics in Healthcare Market Report Segments:
The global Clinical Data Analytics in Healthcare market is segmented on the basis of:
Types
Cloud-based, On-premise
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Pharmaceuticals, Healthcare Providers, Biotechnology, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Caradigm
- CareEvolution
- Cerner
- IBM
- Allscripts
- Health Catalyst
- Koninklijke Philips
- McKesson
- Optum
- Oracle
- InterSystems
- Athenahealth
- Truven Health Analytics
- ActiveHealth Management
- The Advisory Board
Highlights of The Clinical Data Analytics in Healthcare Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud-based
- On-premise
- By Application:
- Pharmaceuticals
- Healthcare Providers
- Biotechnology
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Clinical Data Analytics in Healthcare Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Clinical data analytics is the process of using data to improve patient care. It can help doctors and nurses diagnose problems early, recommend treatments more accurately, and track patients' progress. Clinical data analytics also helps hospitals make better decisions about where to allocate resources and how to improve patient care.
Some of the major players in the clinical data analytics in healthcare market are Caradigm, CareEvolution, Cerner, IBM, Allscripts, Health Catalyst, Koninklijke Philips, McKesson, Optum, Oracle, InterSystems, Athenahealth, Truven Health Analytics, ActiveHealth Management, The Advisory Board.
The clinical data analytics in healthcare market is expected to grow at a compound annual growth rate of 16.5%.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Clinical Data Analytics in Healthcare Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Clinical Data Analytics in Healthcare Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Clinical Data Analytics in Healthcare Market - Supply Chain
4.5. Global Clinical Data Analytics in Healthcare Market Forecast
4.5.1. Clinical Data Analytics in Healthcare Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Clinical Data Analytics in Healthcare Market Size (000 Units) and Y-o-Y Growth
4.5.3. Clinical Data Analytics in Healthcare Market Absolute $ Opportunity
5. Global Clinical Data Analytics in Healthcare Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Type
5.3.1. Cloud-based
5.3.2. On-premise
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global Clinical Data Analytics in Healthcare Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Application
6.3.1. Pharmaceuticals
6.3.2. Healthcare Providers
6.3.3. Biotechnology
6.3.4. Others
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global Clinical Data Analytics in Healthcare Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global Clinical Data Analytics in Healthcare Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Clinical Data Analytics in Healthcare Demand Share Forecast, 2019-2026
9. North America Clinical Data Analytics in Healthcare Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Application
9.4.1. Pharmaceuticals
9.4.2. Healthcare Providers
9.4.3. Biotechnology
9.4.4. Others
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Type
9.7.1. Cloud-based
9.7.2. On-premise
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America Clinical Data Analytics in Healthcare Demand Share Forecast, 2019-2026
10. Latin America Clinical Data Analytics in Healthcare Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Application
10.4.1. Pharmaceuticals
10.4.2. Healthcare Providers
10.4.3. Biotechnology
10.4.4. Others
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Type
10.7.1. Cloud-based
10.7.2. On-premise
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America Clinical Data Analytics in Healthcare Demand Share Forecast, 2019-2026
11. Europe Clinical Data Analytics in Healthcare Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Application
11.4.1. Pharmaceuticals
11.4.2. Healthcare Providers
11.4.3. Biotechnology
11.4.4. Others
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Tye
11.7.1. Cloud-based
11.7.2. On-premise
11.8. Basis Point Share (BPS) Analysis by Type
11.9. Y-o-Y Growth Projections by Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe Clinical Data Analytics in Healthcare Demand Share, 2019-2026
12. Asia Pacific Clinical Data Analytics in Healthcare Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Application
12.4.1. Pharmaceuticals
12.4.2. Healthcare Providers
12.4.3. Biotechnology
12.4.4. Others
12.5. Basis Point Share (BPS) Analysis by Application
12.6. Y-o-Y Growth Projections by Application
12.7. Asia Pacific Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Type
12.7.1. Cloud-based
12.7.2. On-premise
12.8. Basis Point Share (BPS) Analysis by Type
12.9. Y-o-Y Growth Projections by Type
12.10. Market Attractiveness/Growth Potential Analysis
12.10.1. By Country
12.10.2. By Product Type
12.10.3. By Application
12.10.4. By Sales Channel
12.11. Asia Pacific Clinical Data Analytics in Healthcare Demand Share, 2019-2026
13. Middle East & Africa Clinical Data Analytics in Healthcare Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Asia Pacific Average Pricing Analysis
13.2. Middle East & Africa Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Country
13.2.1. Saudi Arabia
13.2.2. South Africa
13.2.3. UAE
13.2.4. Rest of Middle East & Africa (MEA)
13.3. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Application
13.4.1. Pharmaceuticals
13.4.2. Healthcare Providers
13.4.3. Biotechnology
13.4.4. Others
13.5. Basis Point Share (BPS) Analysis by Application
13.6. Y-o-Y Growth Projections by Application
13.7. Middle East & Africa Clinical Data Analytics in Healthcare Market Size and Volume Forecast by Type
13.7.1. Cloud-based
13.7.2. On-premise
13.8. Basis Point Share (BPS) Analysis by Type
13.9. Y-o-Y Growth Projections by Type
13.10. Market Attractiveness/Growth Potential Analysis
13.10.1. By Country
13.10.2. By Product Type
13.10.3. By Application
13.10.4. By Sales Channel
13.11. Middle East & Africa Clinical Data Analytics in Healthcare Demand Share, 2019-2026
14. Competition Landscape
14.1. Global Clinical Data Analytics in Healthcare Market: Market Share Analysis
14.2. Clinical Data Analytics in Healthcare Distributors and Customers
14.3. Clinical Data Analytics in Healthcare Market: Competitive Dashboard
14.4. Company Profiles (Details Overview, Financials, Developments, Strategy)
14.4.1. Caradigm
14.4.1.1. Overview
14.4.1.2. Financials
14.4.1.3. Developments
14.4.1.4. Strategic Outlook
14.4.2. CareEvolution
14.4.2.1. Overview
14.4.2.2. Financials
14.4.2.3. Developments
14.4.2.4. Strategic Outlook
14.4.3. Cerner
14.4.3.1. Overview
14.4.3.2. Financials
14.4.3.3. Developments
14.4.3.4. Strategic Outlook
14.4.4. IBM
14.4.4.1. Overview
14.4.4.2. Financials
14.4.4.3. Developments
14.4.4.4. Strategic Outlook
14.4.5. Allscripts
14.4.5.1. Overview
14.4.5.2. Financials
14.4.5.3. Developments
14.4.5.4. Strategic Outlook
14.4.6. Health Catalyst
14.4.6.1. Overview
14.4.6.2. Financials
14.4.6.3. Developments
14.4.6.4. Strategic Outlook
14.4.7. Koninklijke Philips
14.4.7.1. Overview
14.4.7.2. Financials
14.4.7.3. Developments
14.4.7.4. Strategic Outlook
14.4.8. McKesson
14.4.8.1. Overview
14.4.8.2. Financials
14.4.8.3. Developments
14.4.8.4. Strategic Outlook
14.4.9. Optum
14.4.9.1. Overview
14.4.9.2. Financials
14.4.9.3. Developments
14.4.9.4. Strategic Outlook
14.4.10. Oracle
14.4.10.1. Overview
14.4.10.2. Financials
14.4.10.3. Developments
14.4.10.4. Strategic Outlook
14.4.11. InterSystems
14.4.11.1. Overview
14.4.11.2. Financials
14.4.11.3. Developments
14.4.11.4. Strategic Outlook
14.4.12. Athenahealth
14.4.12.1. Overview
14.4.12.2. Financials
14.4.12.3. Developments
14.4.12.4. Strategic Outlook
14.4.13. Truven Health Analytics
14.4.13.1. Overview
14.4.13.2. Financials
14.4.13.3. Developments
14.4.13.4. Strategic Outlook
14.4.14. ActiveHealth Management
14.4.14.1. Overview
14.4.14.2. Financials
14.4.14.3. Developments
14.4.14.4. Strategic Outlook
14.4.15. The Advisory Board
14.4.15.1. Overview
14.4.15.2. Financials
14.4.15.3. Developments
14.4.15.4. Strategic Outlook
14.4.16. COMPANY 16
14.4.16.1. Overview
14.4.16.2. Financials
14.4.16.3. Developments
14.4.16.4. Strategic Outlook
14.4.17. COMPANY 17
14.4.17.1. Overview
14.4.17.2. Financials
14.4.17.3. Developments
14.4.17.4. Strategic Outlook
14.4.18. COMPANY 18
14.4.18.1. Overview
14.4.18.2. Financials
14.4.18.3. Developments
14.4.18.4. Strategic Outlook
14.4.19. COMPANY 19
14.4.19.1. Overview
14.4.19.2. Financials
14.4.19.3. Developments
14.4.19.4. Strategic Outlook
14.4.20. COMPANY 20
14.4.20.1. Overview
14.4.20.2. Financials
14.4.20.3. Developments
14.4.20.4. Strategic Outlook