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Home > Big Data Analytics in Healthcare - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Big Data Analytics in Healthcare - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID: 
PB509248070
Publication Date: 
September 18, 2024
Pages: 
107
Publisher: 
MRRPB5
Countries: 
Global [1]
USD 3,950.00

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IT Services [2]
Computing & Electronics [3]
Description: 

Big data analytics in healthcare is a complete solution package offered by key analytic solution providers, such as IBM Corporation, Cognizant, Health Catalyst, Medeanalytics, Inc., McKesson Corporation, and others, to predict, manage, and maintain various analytical platforms in cloud and on-premise deployment. It also provides intuitive analysis on healthcare-related processes that start from pre-hospitalization to post medical cost calculation.
The global market for Big Data Analytics in Healthcare was estimated to be worth US$ 8965.4 million in 2023 and is forecast to a readjusted size of US$ 20910 million by 2030 with a CAGR of 12.4% during the forecast period 2024-2030
According to our research, the global market for medical devices is estimated at US$ 603 billion in the year 2023, and will be growing at a CAGR of 5% during next six years. The global healthcare spending contributes to occupy 10% of the global GDP and is continuously rising in recent years due to the increasing health needs of the aging population, the growing prevalence of chronic and infectious diseases and the expansion of emerging markets. The medical devices market plays a significant role in the healthcare industry. The market is driven by several factors, including the increasing demand for advanced healthcare services globally, advancements in medical technology, growing geriatric population, rising healthcare expenditure, and increasing awareness about early disease diagnosis and treatment.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Big Data Analytics in Healthcare, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Big Data Analytics in Healthcare by region & country, by Type, and by Application.
The Big Data Analytics in Healthcare market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Analytics in Healthcare.
Market Segmentation
By Company
Cisco
Cognizant
Health Catalyst
IBM
McKesson
MEDEANALYTICS
Microsoft
Oracle
SAS Institute
Vizient
Segment by Type:
Software
Service
Segment by Application
Hospitals & Clinics
Finance & Insurance Agencies
Research Organization
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Big Data Analytics in Healthcare manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Big Data Analytics in Healthcare in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Big Data Analytics in Healthcare in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents: 

1 Market Overview
1.1 Big Data Analytics in Healthcare Product Introduction
1.2 Global Big Data Analytics in Healthcare Market Size Forecast
1.3 Big Data Analytics in Healthcare Market Trends & Drivers
1.3.1 Big Data Analytics in Healthcare Industry Trends
1.3.2 Big Data Analytics in Healthcare Market Drivers & Opportunity
1.3.3 Big Data Analytics in Healthcare Market Challenges
1.3.4 Big Data Analytics in Healthcare Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Big Data Analytics in Healthcare Players Revenue Ranking (2023)
2.2 Global Big Data Analytics in Healthcare Revenue by Company (2019-2024)
2.3 Key Companies Big Data Analytics in Healthcare Manufacturing Base Distribution and Headquarters
2.4 Key Companies Big Data Analytics in Healthcare Product Offered
2.5 Key Companies Time to Begin Mass Production of Big Data Analytics in Healthcare
2.6 Big Data Analytics in Healthcare Market Competitive Analysis
2.6.1 Big Data Analytics in Healthcare Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Big Data Analytics in Healthcare Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Big Data Analytics in Healthcare as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Software
3.1.2 Service
3.2 Global Big Data Analytics in Healthcare Sales Value by Type
3.2.1 Global Big Data Analytics in Healthcare Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Big Data Analytics in Healthcare Sales Value, by Type (2019-2030)
3.2.3 Global Big Data Analytics in Healthcare Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Hospitals & Clinics
4.1.2 Finance & Insurance Agencies
4.1.3 Research Organization
4.2 Global Big Data Analytics in Healthcare Sales Value by Application
4.2.1 Global Big Data Analytics in Healthcare Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Big Data Analytics in Healthcare Sales Value, by Application (2019-2030)
4.2.3 Global Big Data Analytics in Healthcare Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Big Data Analytics in Healthcare Sales Value by Region
5.1.1 Global Big Data Analytics in Healthcare Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Big Data Analytics in Healthcare Sales Value by Region (2019-2024)
5.1.3 Global Big Data Analytics in Healthcare Sales Value by Region (2025-2030)
5.1.4 Global Big Data Analytics in Healthcare Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Big Data Analytics in Healthcare Sales Value, 2019-2030
5.2.2 North America Big Data Analytics in Healthcare Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Big Data Analytics in Healthcare Sales Value, 2019-2030
5.3.2 Europe Big Data Analytics in Healthcare Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Big Data Analytics in Healthcare Sales Value, 2019-2030
5.4.2 Asia Pacific Big Data Analytics in Healthcare Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Big Data Analytics in Healthcare Sales Value, 2019-2030
5.5.2 South America Big Data Analytics in Healthcare Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Big Data Analytics in Healthcare Sales Value, 2019-2030
5.6.2 Middle East & Africa Big Data Analytics in Healthcare Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Big Data Analytics in Healthcare Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Big Data Analytics in Healthcare Sales Value
6.3 United States
6.3.1 United States Big Data Analytics in Healthcare Sales Value, 2019-2030
6.3.2 United States Big Data Analytics in Healthcare Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Big Data Analytics in Healthcare Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Big Data Analytics in Healthcare Sales Value, 2019-2030
6.4.2 Europe Big Data Analytics in Healthcare Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Big Data Analytics in Healthcare Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Big Data Analytics in Healthcare Sales Value, 2019-2030
6.5.2 China Big Data Analytics in Healthcare Sales Value by Type (%), 2023 VS 2030
6.5.3 China Big Data Analytics in Healthcare Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Big Data Analytics in Healthcare Sales Value, 2019-2030
6.6.2 Japan Big Data Analytics in Healthcare Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Big Data Analytics in Healthcare Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Big Data Analytics in Healthcare Sales Value, 2019-2030
6.7.2 South Korea Big Data Analytics in Healthcare Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Big Data Analytics in Healthcare Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Big Data Analytics in Healthcare Sales Value, 2019-2030
6.8.2 Southeast Asia Big Data Analytics in Healthcare Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Big Data Analytics in Healthcare Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Big Data Analytics in Healthcare Sales Value, 2019-2030
6.9.2 India Big Data Analytics in Healthcare Sales Value by Type (%), 2023 VS 2030
6.9.3 India Big Data Analytics in Healthcare Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Cisco
7.1.1 Cisco Profile
7.1.2 Cisco Main Business
7.1.3 Cisco Big Data Analytics in Healthcare Products, Services and Solutions
7.1.4 Cisco Big Data Analytics in Healthcare Revenue (US$ Million) & (2019-2024)
7.1.5 Cisco Recent Developments
7.2 Cognizant
7.2.1 Cognizant Profile
7.2.2 Cognizant Main Business
7.2.3 Cognizant Big Data Analytics in Healthcare Products, Services and Solutions
7.2.4 Cognizant Big Data Analytics in Healthcare Revenue (US$ Million) & (2019-2024)
7.2.5 Cognizant Recent Developments
7.3 Health Catalyst
7.3.1 Health Catalyst Profile
7.3.2 Health Catalyst Main Business
7.3.3 Health Catalyst Big Data Analytics in Healthcare Products, Services and Solutions
7.3.4 Health Catalyst Big Data Analytics in Healthcare Revenue (US$ Million) & (2019-2024)
7.3.5 IBM Recent Developments
7.4 IBM
7.4.1 IBM Profile
7.4.2 IBM Main Business
7.4.3 IBM Big Data Analytics in Healthcare Products, Services and Solutions
7.4.4 IBM Big Data Analytics in Healthcare Revenue (US$ Million) & (2019-2024)
7.4.5 IBM Recent Developments
7.5 McKesson
7.5.1 McKesson Profile
7.5.2 McKesson Main Business
7.5.3 McKesson Big Data Analytics in Healthcare Products, Services and Solutions
7.5.4 McKesson Big Data Analytics in Healthcare Revenue (US$ Million) & (2019-2024)
7.5.5 McKesson Recent Developments
7.6 MEDEANALYTICS
7.6.1 MEDEANALYTICS Profile
7.6.2 MEDEANALYTICS Main Business
7.6.3 MEDEANALYTICS Big Data Analytics in Healthcare Products, Services and Solutions
7.6.4 MEDEANALYTICS Big Data Analytics in Healthcare Revenue (US$ Million) & (2019-2024)
7.6.5 MEDEANALYTICS Recent Developments
7.7 Microsoft
7.7.1 Microsoft Profile
7.7.2 Microsoft Main Business
7.7.3 Microsoft Big Data Analytics in Healthcare Products, Services and Solutions
7.7.4 Microsoft Big Data Analytics in Healthcare Revenue (US$ Million) & (2019-2024)
7.7.5 Microsoft Recent Developments
7.8 Oracle
7.8.1 Oracle Profile
7.8.2 Oracle Main Business
7.8.3 Oracle Big Data Analytics in Healthcare Products, Services and Solutions
7.8.4 Oracle Big Data Analytics in Healthcare Revenue (US$ Million) & (2019-2024)
7.8.5 Oracle Recent Developments
7.9 SAS Institute
7.9.1 SAS Institute Profile
7.9.2 SAS Institute Main Business
7.9.3 SAS Institute Big Data Analytics in Healthcare Products, Services and Solutions
7.9.4 SAS Institute Big Data Analytics in Healthcare Revenue (US$ Million) & (2019-2024)
7.9.5 SAS Institute Recent Developments
7.10 Vizient
7.10.1 Vizient Profile
7.10.2 Vizient Main Business
7.10.3 Vizient Big Data Analytics in Healthcare Products, Services and Solutions
7.10.4 Vizient Big Data Analytics in Healthcare Revenue (US$ Million) & (2019-2024)
7.10.5 Vizient Recent Developments
8 Industry Chain Analysis
8.1 Big Data Analytics in Healthcare Industrial Chain
8.2 Big Data Analytics in Healthcare Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Big Data Analytics in Healthcare Sales Model
8.5.2 Sales Channel
8.5.3 Big Data Analytics in Healthcare Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned: 

Cisco
Cognizant
Health Catalyst
IBM
McKesson
MEDEANALYTICS
Microsoft
Oracle
SAS Institute
Vizient

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