
Big data and predictive analytics are playing increasingly important roles in the healthcare industry, transforming the way healthcare organizations manage patient data, make clinical decisions, and improve patient outcomes. These technologies utilize large volumes of data, sophisticated algorithms, and machine learning techniques to extract valuable insights, identify patterns, and predict future events in healthcare.
The global Big Data and Predictive Analytics in Healthcare market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
The global market for Big Data and Predictive Analytics in Healthcare has been witnessing significant growth in recent years. The healthcare industry has increasingly recognized the value of harnessing large volumes of data and applying predictive analytics to improve patient care, clinical outcomes, and operational efficiency. The adoption of Big Data and Predictive Analytics in Healthcare is significant in regions with advanced healthcare infrastructure and technology capabilities. North America, including the United States, has been a major contributor to the market due to its advanced healthcare systems and early adoption of digital health technologies. Europe and Asia-Pacific regions have also witnessed substantial growth, driven by increasing investments in healthcare technology and digital transformation. The global market for Big Data and Predictive Analytics in Healthcare is expected to continue its growth trajectory in the coming years. Advancements in technology, increased data availability, and a growing emphasis on data-driven decision-making in healthcare will drive the adoption of predictive analytics solutions. As healthcare organizations further embrace digital transformation and invest in data analytics capabilities, the application of predictive analytics will expand to encompass a broader range of clinical and operational use cases. The integration of AI, machine learning, and natural language processing will enable more sophisticated predictive models and real-time insights for improved patient care and outcomes.
This report aims to provide a comprehensive presentation of the global market for Big Data and Predictive Analytics in Healthcare, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Big Data and Predictive Analytics in Healthcare.
Report Scope
The Big Data and Predictive Analytics in Healthcare market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Big Data and Predictive Analytics in Healthcare market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Big Data and Predictive Analytics in Healthcare companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Cisco
Cognizant
Health Catalyst
IBM
McKesson
Microsoft Corporation
OptumHealth
MedeAnalytics
Oracle
SAS Institute
Vizient
Verisk Analytics
Anju Software
Alteryx
Denodo Technologies
Segment by Type
Cloud-based
On-premises
Segment by Application
Access Clinical Information
Access Operational Information
Access Transactional Data
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Big Data and Predictive Analytics in Healthcare companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Big Data and Predictive Analytics in Healthcare Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-based
1.2.3 On-premises
1.3 Market by Application
1.3.1 Global Big Data and Predictive Analytics in Healthcare Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Access Clinical Information
1.3.3 Access Operational Information
1.3.4 Access Transactional Data
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Big Data and Predictive Analytics in Healthcare Market Perspective (2019-2030)
2.2 Big Data and Predictive Analytics in Healthcare Growth Trends by Region
2.2.1 Global Big Data and Predictive Analytics in Healthcare Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Big Data and Predictive Analytics in Healthcare Historic Market Size by Region (2019-2024)
2.2.3 Big Data and Predictive Analytics in Healthcare Forecasted Market Size by Region (2025-2030)
2.3 Big Data and Predictive Analytics in Healthcare Market Dynamics
2.3.1 Big Data and Predictive Analytics in Healthcare Industry Trends
2.3.2 Big Data and Predictive Analytics in Healthcare Market Drivers
2.3.3 Big Data and Predictive Analytics in Healthcare Market Challenges
2.3.4 Big Data and Predictive Analytics in Healthcare Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Big Data and Predictive Analytics in Healthcare Players by Revenue
3.1.1 Global Top Big Data and Predictive Analytics in Healthcare Players by Revenue (2019-2024)
3.1.2 Global Big Data and Predictive Analytics in Healthcare Revenue Market Share by Players (2019-2024)
3.2 Global Big Data and Predictive Analytics in Healthcare Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Big Data and Predictive Analytics in Healthcare Revenue
3.4 Global Big Data and Predictive Analytics in Healthcare Market Concentration Ratio
3.4.1 Global Big Data and Predictive Analytics in Healthcare Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Big Data and Predictive Analytics in Healthcare Revenue in 2023
3.5 Big Data and Predictive Analytics in Healthcare Key Players Head office and Area Served
3.6 Key Players Big Data and Predictive Analytics in Healthcare Product Solution and Service
3.7 Date of Enter into Big Data and Predictive Analytics in Healthcare Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Big Data and Predictive Analytics in Healthcare Breakdown Data by Type
4.1 Global Big Data and Predictive Analytics in Healthcare Historic Market Size by Type (2019-2024)
4.2 Global Big Data and Predictive Analytics in Healthcare Forecasted Market Size by Type (2025-2030)
5 Big Data and Predictive Analytics in Healthcare Breakdown Data by Application
5.1 Global Big Data and Predictive Analytics in Healthcare Historic Market Size by Application (2019-2024)
5.2 Global Big Data and Predictive Analytics in Healthcare Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Big Data and Predictive Analytics in Healthcare Market Size (2019-2030)
6.2 North America Big Data and Predictive Analytics in Healthcare Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Big Data and Predictive Analytics in Healthcare Market Size by Country (2019-2024)
6.4 North America Big Data and Predictive Analytics in Healthcare Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Big Data and Predictive Analytics in Healthcare Market Size (2019-2030)
7.2 Europe Big Data and Predictive Analytics in Healthcare Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Big Data and Predictive Analytics in Healthcare Market Size by Country (2019-2024)
7.4 Europe Big Data and Predictive Analytics in Healthcare Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Big Data and Predictive Analytics in Healthcare Market Size (2019-2030)
8.2 Asia-Pacific Big Data and Predictive Analytics in Healthcare Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Big Data and Predictive Analytics in Healthcare Market Size by Region (2019-2024)
8.4 Asia-Pacific Big Data and Predictive Analytics in Healthcare Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Big Data and Predictive Analytics in Healthcare Market Size (2019-2030)
9.2 Latin America Big Data and Predictive Analytics in Healthcare Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Big Data and Predictive Analytics in Healthcare Market Size by Country (2019-2024)
9.4 Latin America Big Data and Predictive Analytics in Healthcare Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Big Data and Predictive Analytics in Healthcare Market Size (2019-2030)
10.2 Middle East & Africa Big Data and Predictive Analytics in Healthcare Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Big Data and Predictive Analytics in Healthcare Market Size by Country (2019-2024)
10.4 Middle East & Africa Big Data and Predictive Analytics in Healthcare Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Cisco
11.1.1 Cisco Company Detail
11.1.2 Cisco Business Overview
11.1.3 Cisco Big Data and Predictive Analytics in Healthcare Introduction
11.1.4 Cisco Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.1.5 Cisco Recent Development
11.2 Cognizant
11.2.1 Cognizant Company Detail
11.2.2 Cognizant Business Overview
11.2.3 Cognizant Big Data and Predictive Analytics in Healthcare Introduction
11.2.4 Cognizant Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.2.5 Cognizant Recent Development
11.3 Health Catalyst
11.3.1 Health Catalyst Company Detail
11.3.2 Health Catalyst Business Overview
11.3.3 Health Catalyst Big Data and Predictive Analytics in Healthcare Introduction
11.3.4 Health Catalyst Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.3.5 Health Catalyst Recent Development
11.4 IBM
11.4.1 IBM Company Detail
11.4.2 IBM Business Overview
11.4.3 IBM Big Data and Predictive Analytics in Healthcare Introduction
11.4.4 IBM Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.4.5 IBM Recent Development
11.5 McKesson
11.5.1 McKesson Company Detail
11.5.2 McKesson Business Overview
11.5.3 McKesson Big Data and Predictive Analytics in Healthcare Introduction
11.5.4 McKesson Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.5.5 McKesson Recent Development
11.6 Microsoft Corporation
11.6.1 Microsoft Corporation Company Detail
11.6.2 Microsoft Corporation Business Overview
11.6.3 Microsoft Corporation Big Data and Predictive Analytics in Healthcare Introduction
11.6.4 Microsoft Corporation Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.6.5 Microsoft Corporation Recent Development
11.7 OptumHealth
11.7.1 OptumHealth Company Detail
11.7.2 OptumHealth Business Overview
11.7.3 OptumHealth Big Data and Predictive Analytics in Healthcare Introduction
11.7.4 OptumHealth Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.7.5 OptumHealth Recent Development
11.8 MedeAnalytics
11.8.1 MedeAnalytics Company Detail
11.8.2 MedeAnalytics Business Overview
11.8.3 MedeAnalytics Big Data and Predictive Analytics in Healthcare Introduction
11.8.4 MedeAnalytics Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.8.5 MedeAnalytics Recent Development
11.9 Oracle
11.9.1 Oracle Company Detail
11.9.2 Oracle Business Overview
11.9.3 Oracle Big Data and Predictive Analytics in Healthcare Introduction
11.9.4 Oracle Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.9.5 Oracle Recent Development
11.10 SAS Institute
11.10.1 SAS Institute Company Detail
11.10.2 SAS Institute Business Overview
11.10.3 SAS Institute Big Data and Predictive Analytics in Healthcare Introduction
11.10.4 SAS Institute Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.10.5 SAS Institute Recent Development
11.11 Vizient
11.11.1 Vizient Company Detail
11.11.2 Vizient Business Overview
11.11.3 Vizient Big Data and Predictive Analytics in Healthcare Introduction
11.11.4 Vizient Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.11.5 Vizient Recent Development
11.12 Verisk Analytics
11.12.1 Verisk Analytics Company Detail
11.12.2 Verisk Analytics Business Overview
11.12.3 Verisk Analytics Big Data and Predictive Analytics in Healthcare Introduction
11.12.4 Verisk Analytics Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.12.5 Verisk Analytics Recent Development
11.13 Anju Software
11.13.1 Anju Software Company Detail
11.13.2 Anju Software Business Overview
11.13.3 Anju Software Big Data and Predictive Analytics in Healthcare Introduction
11.13.4 Anju Software Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.13.5 Anju Software Recent Development
11.14 Alteryx
11.14.1 Alteryx Company Detail
11.14.2 Alteryx Business Overview
11.14.3 Alteryx Big Data and Predictive Analytics in Healthcare Introduction
11.14.4 Alteryx Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.14.5 Alteryx Recent Development
11.15 Denodo Technologies
11.15.1 Denodo Technologies Company Detail
11.15.2 Denodo Technologies Business Overview
11.15.3 Denodo Technologies Big Data and Predictive Analytics in Healthcare Introduction
11.15.4 Denodo Technologies Revenue in Big Data and Predictive Analytics in Healthcare Business (2019-2024)
11.15.5 Denodo Technologies Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Cisco
Cognizant
Health Catalyst
IBM
McKesson
Microsoft Corporation
OptumHealth
MedeAnalytics
Oracle
SAS Institute
Vizient
Verisk Analytics
Anju Software
Alteryx
Denodo Technologies
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*If Applicable.
