Global Big Data in Healthcare 麻豆原创 Research Report 2024

Publication ID:

PB501250142

Publication Date:

January 12, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Pharmaceutical Manufacturing [2]

Healthcare [3]

Pharma & Healthcare [4]

Description:

Health data has been growing at unprecedented rates, driven by fall in storage costs, emergence of cloud storage, growing regulatory mandates and the increasing government initiatives to promote adoption of healthcare information systems.The increasing adoption of wearable devices, at-home testing services and mhealth applications that are empowering patients to proactively manage their health are further contributing to the pool of personal data.
The global Big Data in Healthcare market was valued at US$ 15120 million in 2023 and is anticipated to reach US$ 33070 million by 2030, witnessing a CAGR of 11.3% 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.
This report aims to provide a comprehensive presentation of the global market for Big Data 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 in Healthcare.
Report Scope
The Big Data 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 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 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.
麻豆原创 Segmentation
By Company
McKesson Corporation
Cognizant Technology Solutions Corporation
Epic System Corporation
Cerner Corporation
Dell Inc.
GE Healthcare
Siemens AG
Koninklijke Philips N.V.
Xerox Corporation.
Segment by Type
Services
Software
Hardware
Other
Segment by Application
Financial Analytics
Operational Analytics
Population Health Analytics
Clinical Data Analytics
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 in Healthcare companies鈥� 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.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Big Data in Healthcare 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Services
1.2.3 Software
1.2.4 Hardware
1.2.5 Other
1.3 麻豆原创 by Application
1.3.1 Global Big Data in Healthcare 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Financial Analytics
1.3.3 Operational Analytics
1.3.4 Population Health Analytics
1.3.5 Clinical Data Analytics
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Big Data in Healthcare 麻豆原创 Perspective (2019-2030)
2.2 Big Data in Healthcare Growth Trends by Region
2.2.1 Global Big Data in Healthcare 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Big Data in Healthcare Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Big Data in Healthcare Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Big Data in Healthcare 麻豆原创 Dynamics
2.3.1 Big Data in Healthcare Industry Trends
2.3.2 Big Data in Healthcare 麻豆原创 Drivers
2.3.3 Big Data in Healthcare 麻豆原创 Challenges
2.3.4 Big Data in Healthcare 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Big Data in Healthcare Players by Revenue
3.1.1 Global Top Big Data in Healthcare Players by Revenue (2019-2024)
3.1.2 Global Big Data in Healthcare Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Big Data in Healthcare 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Big Data in Healthcare Revenue
3.4 Global Big Data in Healthcare 麻豆原创 Concentration Ratio
3.4.1 Global Big Data in Healthcare 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Big Data in Healthcare Revenue in 2023
3.5 Big Data in Healthcare Key Players Head office and Area Served
3.6 Key Players Big Data in Healthcare Product Solution and Service
3.7 Date of Enter into Big Data in Healthcare 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Big Data in Healthcare Breakdown Data by Type
4.1 Global Big Data in Healthcare Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Big Data in Healthcare Forecasted 麻豆原创 Size by Type (2025-2030)
5 Big Data in Healthcare Breakdown Data by Application
5.1 Global Big Data in Healthcare Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Big Data in Healthcare Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Big Data in Healthcare 麻豆原创 Size (2019-2030)
6.2 North America Big Data in Healthcare 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Big Data in Healthcare 麻豆原创 Size by Country (2019-2024)
6.4 North America Big Data in Healthcare 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Big Data in Healthcare 麻豆原创 Size (2019-2030)
7.2 Europe Big Data in Healthcare 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Big Data in Healthcare 麻豆原创 Size by Country (2019-2024)
7.4 Europe Big Data in Healthcare 麻豆原创 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 in Healthcare 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Big Data in Healthcare 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Big Data in Healthcare 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Big Data in Healthcare 麻豆原创 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 in Healthcare 麻豆原创 Size (2019-2030)
9.2 Latin America Big Data in Healthcare 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Big Data in Healthcare 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Big Data in Healthcare 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Big Data in Healthcare 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Big Data in Healthcare 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Big Data in Healthcare 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Big Data in Healthcare 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 McKesson Corporation
11.1.1 McKesson Corporation Company Detail
11.1.2 McKesson Corporation Business Overview
11.1.3 McKesson Corporation Big Data in Healthcare Introduction
11.1.4 McKesson Corporation Revenue in Big Data in Healthcare Business (2019-2024)
11.1.5 McKesson Corporation Recent Development
11.2 Cognizant Technology Solutions Corporation
11.2.1 Cognizant Technology Solutions Corporation Company Detail
11.2.2 Cognizant Technology Solutions Corporation Business Overview
11.2.3 Cognizant Technology Solutions Corporation Big Data in Healthcare Introduction
11.2.4 Cognizant Technology Solutions Corporation Revenue in Big Data in Healthcare Business (2019-2024)
11.2.5 Cognizant Technology Solutions Corporation Recent Development
11.3 Epic System Corporation
11.3.1 Epic System Corporation Company Detail
11.3.2 Epic System Corporation Business Overview
11.3.3 Epic System Corporation Big Data in Healthcare Introduction
11.3.4 Epic System Corporation Revenue in Big Data in Healthcare Business (2019-2024)
11.3.5 Epic System Corporation Recent Development
11.4 Cerner Corporation
11.4.1 Cerner Corporation Company Detail
11.4.2 Cerner Corporation Business Overview
11.4.3 Cerner Corporation Big Data in Healthcare Introduction
11.4.4 Cerner Corporation Revenue in Big Data in Healthcare Business (2019-2024)
11.4.5 Cerner Corporation Recent Development
11.5 Dell Inc.
11.5.1 Dell Inc. Company Detail
11.5.2 Dell Inc. Business Overview
11.5.3 Dell Inc. Big Data in Healthcare Introduction
11.5.4 Dell Inc. Revenue in Big Data in Healthcare Business (2019-2024)
11.5.5 Dell Inc. Recent Development
11.6 GE Healthcare
11.6.1 GE Healthcare Company Detail
11.6.2 GE Healthcare Business Overview
11.6.3 GE Healthcare Big Data in Healthcare Introduction
11.6.4 GE Healthcare Revenue in Big Data in Healthcare Business (2019-2024)
11.6.5 GE Healthcare Recent Development
11.7 Siemens AG
11.7.1 Siemens AG Company Detail
11.7.2 Siemens AG Business Overview
11.7.3 Siemens AG Big Data in Healthcare Introduction
11.7.4 Siemens AG Revenue in Big Data in Healthcare Business (2019-2024)
11.7.5 Siemens AG Recent Development
11.8 Koninklijke Philips N.V.
11.8.1 Koninklijke Philips N.V. Company Detail
11.8.2 Koninklijke Philips N.V. Business Overview
11.8.3 Koninklijke Philips N.V. Big Data in Healthcare Introduction
11.8.4 Koninklijke Philips N.V. Revenue in Big Data in Healthcare Business (2019-2024)
11.8.5 Koninklijke Philips N.V. Recent Development
11.9 Xerox Corporation.
11.9.1 Xerox Corporation. Company Detail
11.9.2 Xerox Corporation. Business Overview
11.9.3 Xerox Corporation. Big Data in Healthcare Introduction
11.9.4 Xerox Corporation. Revenue in Big Data in Healthcare Business (2019-2024)
11.9.5 Xerox Corporation. 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

Companies Mentioned:

McKesson Corporation
Cognizant Technology Solutions Corporation
Epic System Corporation
Cerner Corporation
Dell Inc.
GE Healthcare
Siemens AG
Koninklijke Philips N.V.
Xerox Corporation.

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