Big Data in Healthcare - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB509247012

Publication Date:

September 23, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

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 market for Big Data in Healthcare was estimated to be worth US$ 15120 million in 2023 and is forecast to a readjusted size of US$ 33070 million by 2030 with 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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Big Data in Healthcare, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Big Data in Healthcare by region & country, by Type, and by Application.
The Big Data 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 in Healthcare.
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
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 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 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 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 麻豆原创 Overview
1.1 Big Data in Healthcare Product Introduction
1.2 Global Big Data in Healthcare 麻豆原创 Size Forecast
1.3 Big Data in Healthcare 麻豆原创 Trends & Drivers
1.3.1 Big Data in Healthcare Industry Trends
1.3.2 Big Data in Healthcare 麻豆原创 Drivers & Opportunity
1.3.3 Big Data in Healthcare 麻豆原创 Challenges
1.3.4 Big Data in Healthcare 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Big Data in Healthcare Players Revenue Ranking (2023)
2.2 Global Big Data in Healthcare Revenue by Company (2019-2024)
2.3 Key Companies Big Data in Healthcare Manufacturing Base Distribution and Headquarters
2.4 Key Companies Big Data in Healthcare Product Offered
2.5 Key Companies Time to Begin Mass Production of Big Data in Healthcare
2.6 Big Data in Healthcare 麻豆原创 Competitive Analysis
2.6.1 Big Data in Healthcare 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Big Data 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 in Healthcare as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Services
3.1.2 Software
3.1.3 Hardware
3.1.4 Other
3.2 Global Big Data in Healthcare Sales Value by Type
3.2.1 Global Big Data in Healthcare Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Big Data in Healthcare Sales Value, by Type (2019-2030)
3.2.3 Global Big Data in Healthcare Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Financial Analytics
4.1.2 Operational Analytics
4.1.3 Population Health Analytics
4.1.4 Clinical Data Analytics
4.2 Global Big Data in Healthcare Sales Value by Application
4.2.1 Global Big Data in Healthcare Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Big Data in Healthcare Sales Value, by Application (2019-2030)
4.2.3 Global Big Data in Healthcare Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Big Data in Healthcare Sales Value by Region
5.1.1 Global Big Data in Healthcare Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Big Data in Healthcare Sales Value by Region (2019-2024)
5.1.3 Global Big Data in Healthcare Sales Value by Region (2025-2030)
5.1.4 Global Big Data in Healthcare Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Big Data in Healthcare Sales Value, 2019-2030
5.2.2 North America Big Data in Healthcare Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Big Data in Healthcare Sales Value, 2019-2030
5.3.2 Europe Big Data in Healthcare Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Big Data in Healthcare Sales Value, 2019-2030
5.4.2 Asia Pacific Big Data in Healthcare Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Big Data in Healthcare Sales Value, 2019-2030
5.5.2 South America Big Data in Healthcare Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Big Data in Healthcare Sales Value, 2019-2030
5.6.2 Middle East & Africa Big Data in Healthcare Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Big Data in Healthcare Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Big Data in Healthcare Sales Value
6.3 United States
6.3.1 United States Big Data in Healthcare Sales Value, 2019-2030
6.3.2 United States Big Data in Healthcare Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Big Data in Healthcare Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Big Data in Healthcare Sales Value, 2019-2030
6.4.2 Europe Big Data in Healthcare Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Big Data in Healthcare Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Big Data in Healthcare Sales Value, 2019-2030
6.5.2 China Big Data in Healthcare Sales Value by Type (%), 2023 VS 2030
6.5.3 China Big Data in Healthcare Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Big Data in Healthcare Sales Value, 2019-2030
6.6.2 Japan Big Data in Healthcare Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Big Data in Healthcare Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Big Data in Healthcare Sales Value, 2019-2030
6.7.2 South Korea Big Data in Healthcare Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Big Data in Healthcare Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Big Data in Healthcare Sales Value, 2019-2030
6.8.2 Southeast Asia Big Data in Healthcare Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Big Data in Healthcare Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Big Data in Healthcare Sales Value, 2019-2030
6.9.2 India Big Data in Healthcare Sales Value by Type (%), 2023 VS 2030
6.9.3 India Big Data in Healthcare Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 McKesson Corporation
7.1.1 McKesson Corporation Profile
7.1.2 McKesson Corporation Main Business
7.1.3 McKesson Corporation Big Data in Healthcare Products, Services and Solutions
7.1.4 McKesson Corporation Big Data in Healthcare Revenue (US$ Million) & (2019-2024)
7.1.5 McKesson Corporation Recent Developments
7.2 Cognizant Technology Solutions Corporation
7.2.1 Cognizant Technology Solutions Corporation Profile
7.2.2 Cognizant Technology Solutions Corporation Main Business
7.2.3 Cognizant Technology Solutions Corporation Big Data in Healthcare Products, Services and Solutions
7.2.4 Cognizant Technology Solutions Corporation Big Data in Healthcare Revenue (US$ Million) & (2019-2024)
7.2.5 Cognizant Technology Solutions Corporation Recent Developments
7.3 Epic System Corporation
7.3.1 Epic System Corporation Profile
7.3.2 Epic System Corporation Main Business
7.3.3 Epic System Corporation Big Data in Healthcare Products, Services and Solutions
7.3.4 Epic System Corporation Big Data in Healthcare Revenue (US$ Million) & (2019-2024)
7.3.5 Cerner Corporation Recent Developments
7.4 Cerner Corporation
7.4.1 Cerner Corporation Profile
7.4.2 Cerner Corporation Main Business
7.4.3 Cerner Corporation Big Data in Healthcare Products, Services and Solutions
7.4.4 Cerner Corporation Big Data in Healthcare Revenue (US$ Million) & (2019-2024)
7.4.5 Cerner Corporation Recent Developments
7.5 Dell Inc.
7.5.1 Dell Inc. Profile
7.5.2 Dell Inc. Main Business
7.5.3 Dell Inc. Big Data in Healthcare Products, Services and Solutions
7.5.4 Dell Inc. Big Data in Healthcare Revenue (US$ Million) & (2019-2024)
7.5.5 Dell Inc. Recent Developments
7.6 GE Healthcare
7.6.1 GE Healthcare Profile
7.6.2 GE Healthcare Main Business
7.6.3 GE Healthcare Big Data in Healthcare Products, Services and Solutions
7.6.4 GE Healthcare Big Data in Healthcare Revenue (US$ Million) & (2019-2024)
7.6.5 GE Healthcare Recent Developments
7.7 Siemens AG
7.7.1 Siemens AG Profile
7.7.2 Siemens AG Main Business
7.7.3 Siemens AG Big Data in Healthcare Products, Services and Solutions
7.7.4 Siemens AG Big Data in Healthcare Revenue (US$ Million) & (2019-2024)
7.7.5 Siemens AG Recent Developments
7.8 Koninklijke Philips N.V.
7.8.1 Koninklijke Philips N.V. Profile
7.8.2 Koninklijke Philips N.V. Main Business
7.8.3 Koninklijke Philips N.V. Big Data in Healthcare Products, Services and Solutions
7.8.4 Koninklijke Philips N.V. Big Data in Healthcare Revenue (US$ Million) & (2019-2024)
7.8.5 Koninklijke Philips N.V. Recent Developments
7.9 Xerox Corporation.
7.9.1 Xerox Corporation. Profile
7.9.2 Xerox Corporation. Main Business
7.9.3 Xerox Corporation. Big Data in Healthcare Products, Services and Solutions
7.9.4 Xerox Corporation. Big Data in Healthcare Revenue (US$ Million) & (2019-2024)
7.9.5 Xerox Corporation. Recent Developments
8 Industry Chain Analysis
8.1 Big Data in Healthcare Industrial Chain
8.2 Big Data 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 in Healthcare Sales Model
8.5.2 Sales Channel
8.5.3 Big Data 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:

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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