Big data is the field where large and complex data is analyzed and systematically extracted from the data sets. Large volume of data is created by adoption of digital technologies in healthcare. The application of big data in healthcare to provide patients with more efficient healthcare and reduce costs and increase patient satisfaction.
MARKET DYNAMICS
The big data in healthcare market is driving due to the increasing adoption of information technology in healthcare, digitalization in healthcare and growing healthcare expenditure. Moreover, rising demand for cloud-based solutions is likely to create growth opportunities in the market.
MARKET SCOPE
The "Big Data In Healthcare Market Analysis to 2028" is a specialized and in-depth study of the healthcare industry with a special focus on the global market trend analysis. The report aims to provide an overview of big data in healthcare market with detailed market segmentation by component, deployment, analytics type, application and end user. The big data in healthcare market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading players in big data in healthcare market and offers key trends and opportunities in the market.
MARKET SEGMENTATION
The big data in healthcare market is segmented on the basis of component, deployment, analytics type, application and end user. Based on component, the market is segmented as software and services. Based on deployment, the market is segmented as on-premise, and cloud. The analytics type segment is segmented into descriptive analytics, predictive analytics, prescriptive analytics, and diagnostic analytics. Application segment is segmented into clinical, financial, and operational. The end user segment is segmented into hospitals and clinics, finance and insurance agencies, and research organizations.
REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the big data in healthcare market based on various segments. It also provides market size and forecast estimates from year 2020 to 2028 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The big data in healthcare market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.
The report analyzes factors affecting big data in healthcare market from both demand and supply side and further evaluates market dynamics affecting the market during forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South & Central America after evaluating political, economic, social and technological factors effecting the big data in healthcare market in these regions.
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- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
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The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the big data in healthcare market based on various segments. It also provides market size and forecast estimates from year 2020 to 2028 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The big data in healthcare market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.
The report analyzes factors affecting big data in healthcare market from both demand and supply side and further evaluates market dynamics affecting the market during forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South & Central America after evaluating political, economic, social and technological factors effecting the big data in healthcare market in these regions.
MARKET PLAYERS
The report covers key developments in the big data in healthcare market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for expansion of business and customer base of market players. The market players from big data in healthcare market are anticipated to have lucrative growth opportunities in the future with the rising demand for big data in healthcare market in the global market. Below mentioned is the list of few companies engaged in the big data in healthcare market.
The report also includes the profiles of key players in big data in healthcare market along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information of last 3 years, key development in past five years.
- Cerner Corporation
- Cognizant
- Dell
- GE Healthcare
- Mckesson
- Optum
- Philips
- Siemens
- Xerox
- All Scripts
The Insight Partner's dedicated research and analysis team consists of experienced professionals with advanced statistical expertise and offers various customization options in the existing study.
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 Big Data In Healthcare Market - By Component
1.3.2 Big Data In Healthcare Market - By Deployment
1.3.3 Big Data In Healthcare Market - By Analytics Type
1.3.4 Big Data In Healthcare Market - By Application
1.3.5 Big Data In Healthcare Market - By End User
1.3.6 Big Data In Healthcare Market - By Region
1.3.6.1 By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. BIG DATA IN HEALTHCARE MARKET LANDSCAPE
4.1. OVERVIEW
4.2. PEST ANALYSIS
4.2.1 North America - Pest Analysis
4.2.2 Europe - Pest Analysis
4.2.3 Asia-Pacific - Pest Analysis
4.2.4 Middle East and Africa - Pest Analysis
4.2.5 South and Central America - Pest Analysis
4.3. EXPERT OPINIONS
5. BIG DATA IN HEALTHCARE MARKET - KEY MARKET DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS
6. BIG DATA IN HEALTHCARE MARKET - GLOBAL MARKET ANALYSIS
6.1. BIG DATA IN HEALTHCARE - GLOBAL MARKET OVERVIEW
6.2. BIG DATA IN HEALTHCARE - GLOBAL MARKET AND FORECAST TO 2028
6.3. MARKET POSITIONING/MARKET SHARE
7. BIG DATA IN HEALTHCARE MARKET - REVENUE AND FORECASTS TO 2028 - COMPONENT
7.1. OVERVIEW
7.2. COMPONENT MARKET FORECASTS AND ANALYSIS
7.3. SOFTWARE
7.3.1. Overview
7.3.2. Software Market Forecast and Analysis
7.4. SERVICES
7.4.1. Overview
7.4.2. Services Market Forecast and Analysis
8. BIG DATA IN HEALTHCARE MARKET - REVENUE AND FORECASTS TO 2028 - DEPLOYMENT
8.1. OVERVIEW
8.2. DEPLOYMENT MARKET FORECASTS AND ANALYSIS
8.3. ON-PREMISE
8.3.1. Overview
8.3.2. On-Premise Market Forecast and Analysis
8.4. CLOUD
8.4.1. Overview
8.4.2. Cloud Market Forecast and Analysis
9. BIG DATA IN HEALTHCARE MARKET - REVENUE AND FORECASTS TO 2028 - ANALYTICS TYPE
9.1. OVERVIEW
9.2. ANALYTICS TYPE MARKET FORECASTS AND ANALYSIS
9.3. DESCRIPTIVE ANALYTICS
9.3.1. Overview
9.3.2. Descriptive Analytics Market Forecast and Analysis
9.4. PREDICTIVE ANALYTICS
9.4.1. Overview
9.4.2. Predictive Analytics Market Forecast and Analysis
9.5. PRESCRIPTIVE ANALYTICS
9.5.1. Overview
9.5.2. Prescriptive Analytics Market Forecast and Analysis
9.6. DIAGNOSTIC ANALYTICS
9.6.1. Overview
9.6.2. Diagnostic Analytics Market Forecast and Analysis
10. BIG DATA IN HEALTHCARE MARKET - REVENUE AND FORECASTS TO 2028 - APPLICATION
10.1. OVERVIEW
10.2. APPLICATION MARKET FORECASTS AND ANALYSIS
10.3. CLINICAL
10.3.1. Overview
10.3.2. Clinical Market Forecast and Analysis
10.4. FINANCIAL
10.4.1. Overview
10.4.2. Financial Market Forecast and Analysis
10.5. OPERATIONAL
10.5.1. Overview
10.5.2. Operational Market Forecast and Analysis
11. BIG DATA IN HEALTHCARE MARKET - REVENUE AND FORECASTS TO 2028 - END USER
11.1. OVERVIEW
11.2. END USER MARKET FORECASTS AND ANALYSIS
11.3. HOSPITALS AND CLINICS
11.3.1. Overview
11.3.2. Hospitals and Clinics Market Forecast and Analysis
11.4. FINANCE AND INSURANCE AGENCIES
11.4.1. Overview
11.4.2. Finance and Insurance Agencies Market Forecast and Analysis
11.5. RESEARCH ORGANIZATIONS
11.5.1. Overview
11.5.2. Research Organizations Market Forecast and Analysis
12. BIG DATA IN HEALTHCARE MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
12.1. NORTH AMERICA
12.1.1 North America Big Data In Healthcare Market Overview
12.1.2 North America Big Data In Healthcare Market Forecasts and Analysis
12.1.3 North America Big Data In Healthcare Market Forecasts and Analysis - By Component
12.1.4 North America Big Data In Healthcare Market Forecasts and Analysis - By Deployment
12.1.5 North America Big Data In Healthcare Market Forecasts and Analysis - By Analytics Type
12.1.6 North America Big Data In Healthcare Market Forecasts and Analysis - By Application
12.1.7 North America Big Data In Healthcare Market Forecasts and Analysis - By End User
12.1.8 North America Big Data In Healthcare Market Forecasts and Analysis - By Countries
12.1.8.1 United States Big Data In Healthcare Market
12.1.8.1.1 United States Big Data In Healthcare Market by Component
12.1.8.1.2 United States Big Data In Healthcare Market by Deployment
12.1.8.1.3 United States Big Data In Healthcare Market by Analytics Type
12.1.8.1.4 United States Big Data In Healthcare Market by Application
12.1.8.1.5 United States Big Data In Healthcare Market by End User
12.1.8.2 Canada Big Data In Healthcare Market
12.1.8.2.1 Canada Big Data In Healthcare Market by Component
12.1.8.2.2 Canada Big Data In Healthcare Market by Deployment
12.1.8.2.3 Canada Big Data In Healthcare Market by Analytics Type
12.1.8.2.4 Canada Big Data In Healthcare Market by Application
12.1.8.2.5 Canada Big Data In Healthcare Market by End User
12.1.8.3 Mexico Big Data In Healthcare Market
12.1.8.3.1 Mexico Big Data In Healthcare Market by Component
12.1.8.3.2 Mexico Big Data In Healthcare Market by Deployment
12.1.8.3.3 Mexico Big Data In Healthcare Market by Analytics Type
12.1.8.3.4 Mexico Big Data In Healthcare Market by Application
12.1.8.3.5 Mexico Big Data In Healthcare Market by End User
12.2. EUROPE
12.2.1 Europe Big Data In Healthcare Market Overview
12.2.2 Europe Big Data In Healthcare Market Forecasts and Analysis
12.2.3 Europe Big Data In Healthcare Market Forecasts and Analysis - By Component
12.2.4 Europe Big Data In Healthcare Market Forecasts and Analysis - By Deployment
12.2.5 Europe Big Data In Healthcare Market Forecasts and Analysis - By Analytics Type
12.2.6 Europe Big Data In Healthcare Market Forecasts and Analysis - By Application
12.2.7 Europe Big Data In Healthcare Market Forecasts and Analysis - By End User
12.2.8 Europe Big Data In Healthcare Market Forecasts and Analysis - By Countries
12.2.8.1 Germany Big Data In Healthcare Market
12.2.8.1.1 Germany Big Data In Healthcare Market by Component
12.2.8.1.2 Germany Big Data In Healthcare Market by Deployment
12.2.8.1.3 Germany Big Data In Healthcare Market by Analytics Type
12.2.8.1.4 Germany Big Data In Healthcare Market by Application
12.2.8.1.5 Germany Big Data In Healthcare Market by End User
12.2.8.2 France Big Data In Healthcare Market
12.2.8.2.1 France Big Data In Healthcare Market by Component
12.2.8.2.2 France Big Data In Healthcare Market by Deployment
12.2.8.2.3 France Big Data In Healthcare Market by Analytics Type
12.2.8.2.4 France Big Data In Healthcare Market by Application
12.2.8.2.5 France Big Data In Healthcare Market by End User
12.2.8.3 Italy Big Data In Healthcare Market
12.2.8.3.1 Italy Big Data In Healthcare Market by Component
12.2.8.3.2 Italy Big Data In Healthcare Market by Deployment
12.2.8.3.3 Italy Big Data In Healthcare Market by Analytics Type
12.2.8.3.4 Italy Big Data In Healthcare Market by Application
12.2.8.3.5 Italy Big Data In Healthcare Market by End User
12.2.8.4 Spain Big Data In Healthcare Market
12.2.8.4.1 Spain Big Data In Healthcare Market by Component
12.2.8.4.2 Spain Big Data In Healthcare Market by Deployment
12.2.8.4.3 Spain Big Data In Healthcare Market by Analytics Type
12.2.8.4.4 Spain Big Data In Healthcare Market by Application
12.2.8.4.5 Spain Big Data In Healthcare Market by End User
12.2.8.5 United Kingdom Big Data In Healthcare Market
12.2.8.5.1 United Kingdom Big Data In Healthcare Market by Component
12.2.8.5.2 United Kingdom Big Data In Healthcare Market by Deployment
12.2.8.5.3 United Kingdom Big Data In Healthcare Market by Analytics Type
12.2.8.5.4 United Kingdom Big Data In Healthcare Market by Application
12.2.8.5.5 United Kingdom Big Data In Healthcare Market by End User
12.2.8.6 Rest of Europe Big Data In Healthcare Market
12.2.8.6.1 Rest of Europe Big Data In Healthcare Market by Component
12.2.8.6.2 Rest of Europe Big Data In Healthcare Market by Deployment
12.2.8.6.3 Rest of Europe Big Data In Healthcare Market by Analytics Type
12.2.8.6.4 Rest of Europe Big Data In Healthcare Market by Application
12.2.8.6.5 Rest of Europe Big Data In Healthcare Market by End User
12.3. ASIA-PACIFIC
12.3.1 Asia-Pacific Big Data In Healthcare Market Overview
12.3.2 Asia-Pacific Big Data In Healthcare Market Forecasts and Analysis
12.3.3 Asia-Pacific Big Data In Healthcare Market Forecasts and Analysis - By Component
12.3.4 Asia-Pacific Big Data In Healthcare Market Forecasts and Analysis - By Deployment
12.3.5 Asia-Pacific Big Data In Healthcare Market Forecasts and Analysis - By Analytics Type
12.3.6 Asia-Pacific Big Data In Healthcare Market Forecasts and Analysis - By Application
12.3.7 Asia-Pacific Big Data In Healthcare Market Forecasts and Analysis - By End User
12.3.8 Asia-Pacific Big Data In Healthcare Market Forecasts and Analysis - By Countries
12.3.8.1 Australia Big Data In Healthcare Market
12.3.8.1.1 Australia Big Data In Healthcare Market by Component
12.3.8.1.2 Australia Big Data In Healthcare Market by Deployment
12.3.8.1.3 Australia Big Data In Healthcare Market by Analytics Type
12.3.8.1.4 Australia Big Data In Healthcare Market by Application
12.3.8.1.5 Australia Big Data In Healthcare Market by End User
12.3.8.2 China Big Data In Healthcare Market
12.3.8.2.1 China Big Data In Healthcare Market by Component
12.3.8.2.2 China Big Data In Healthcare Market by Deployment
12.3.8.2.3 China Big Data In Healthcare Market by Analytics Type
12.3.8.2.4 China Big Data In Healthcare Market by Application
12.3.8.2.5 China Big Data In Healthcare Market by End User
12.3.8.3 India Big Data In Healthcare Market
12.3.8.3.1 India Big Data In Healthcare Market by Component
12.3.8.3.2 India Big Data In Healthcare Market by Deployment
12.3.8.3.3 India Big Data In Healthcare Market by Analytics Type
12.3.8.3.4 India Big Data In Healthcare Market by Application
12.3.8.3.5 India Big Data In Healthcare Market by End User
12.3.8.4 Japan Big Data In Healthcare Market
12.3.8.4.1 Japan Big Data In Healthcare Market by Component
12.3.8.4.2 Japan Big Data In Healthcare Market by Deployment
12.3.8.4.3 Japan Big Data In Healthcare Market by Analytics Type
12.3.8.4.4 Japan Big Data In Healthcare Market by Application
12.3.8.4.5 Japan Big Data In Healthcare Market by End User
12.3.8.5 South Korea Big Data In Healthcare Market
12.3.8.5.1 South Korea Big Data In Healthcare Market by Component
12.3.8.5.2 South Korea Big Data In Healthcare Market by Deployment
12.3.8.5.3 South Korea Big Data In Healthcare Market by Analytics Type
12.3.8.5.4 South Korea Big Data In Healthcare Market by Application
12.3.8.5.5 South Korea Big Data In Healthcare Market by End User
12.3.8.6 Rest of Asia-Pacific Big Data In Healthcare Market
12.3.8.6.1 Rest of Asia-Pacific Big Data In Healthcare Market by Component
12.3.8.6.2 Rest of Asia-Pacific Big Data In Healthcare Market by Deployment
12.3.8.6.3 Rest of Asia-Pacific Big Data In Healthcare Market by Analytics Type
12.3.8.6.4 Rest of Asia-Pacific Big Data In Healthcare Market by Application
12.3.8.6.5 Rest of Asia-Pacific Big Data In Healthcare Market by End User
12.4. MIDDLE EAST AND AFRICA
12.4.1 Middle East and Africa Big Data In Healthcare Market Overview
12.4.2 Middle East and Africa Big Data In Healthcare Market Forecasts and Analysis
12.4.3 Middle East and Africa Big Data In Healthcare Market Forecasts and Analysis - By Component
12.4.4 Middle East and Africa Big Data In Healthcare Market Forecasts and Analysis - By Deployment
12.4.5 Middle East and Africa Big Data In Healthcare Market Forecasts and Analysis - By Analytics Type
12.4.6 Middle East and Africa Big Data In Healthcare Market Forecasts and Analysis - By Application
12.4.7 Middle East and Africa Big Data In Healthcare Market Forecasts and Analysis - By End User
12.4.8 Middle East and Africa Big Data In Healthcare Market Forecasts and Analysis - By Countries
12.4.8.1 South Africa Big Data In Healthcare Market
12.4.8.1.1 South Africa Big Data In Healthcare Market by Component
12.4.8.1.2 South Africa Big Data In Healthcare Market by Deployment
12.4.8.1.3 South Africa Big Data In Healthcare Market by Analytics Type
12.4.8.1.4 South Africa Big Data In Healthcare Market by Application
12.4.8.1.5 South Africa Big Data In Healthcare Market by End User
12.4.8.2 Saudi Arabia Big Data In Healthcare Market
12.4.8.2.1 Saudi Arabia Big Data In Healthcare Market by Component
12.4.8.2.2 Saudi Arabia Big Data In Healthcare Market by Deployment
12.4.8.2.3 Saudi Arabia Big Data In Healthcare Market by Analytics Type
12.4.8.2.4 Saudi Arabia Big Data In Healthcare Market by Application
12.4.8.2.5 Saudi Arabia Big Data In Healthcare Market by End User
12.4.8.3 U.A.E Big Data In Healthcare Market
12.4.8.3.1 U.A.E Big Data In Healthcare Market by Component
12.4.8.3.2 U.A.E Big Data In Healthcare Market by Deployment
12.4.8.3.3 U.A.E Big Data In Healthcare Market by Analytics Type
12.4.8.3.4 U.A.E Big Data In Healthcare Market by Application
12.4.8.3.5 U.A.E Big Data In Healthcare Market by End User
12.4.8.4 Rest of Middle East and Africa Big Data In Healthcare Market
12.4.8.4.1 Rest of Middle East and Africa Big Data In Healthcare Market by Component
12.4.8.4.2 Rest of Middle East and Africa Big Data In Healthcare Market by Deployment
12.4.8.4.3 Rest of Middle East and Africa Big Data In Healthcare Market by Analytics Type
12.4.8.4.4 Rest of Middle East and Africa Big Data In Healthcare Market by Application
12.4.8.4.5 Rest of Middle East and Africa Big Data In Healthcare Market by End User
12.5. SOUTH AND CENTRAL AMERICA
12.5.1 South and Central America Big Data In Healthcare Market Overview
12.5.2 South and Central America Big Data In Healthcare Market Forecasts and Analysis
12.5.3 South and Central America Big Data In Healthcare Market Forecasts and Analysis - By Component
12.5.4 South and Central America Big Data In Healthcare Market Forecasts and Analysis - By Deployment
12.5.5 South and Central America Big Data In Healthcare Market Forecasts and Analysis - By Analytics Type
12.5.6 South and Central America Big Data In Healthcare Market Forecasts and Analysis - By Application
12.5.7 South and Central America Big Data In Healthcare Market Forecasts and Analysis - By End User
12.5.8 South and Central America Big Data In Healthcare Market Forecasts and Analysis - By Countries
12.5.8.1 Brazil Big Data In Healthcare Market
12.5.8.1.1 Brazil Big Data In Healthcare Market by Component
12.5.8.1.2 Brazil Big Data In Healthcare Market by Deployment
12.5.8.1.3 Brazil Big Data In Healthcare Market by Analytics Type
12.5.8.1.4 Brazil Big Data In Healthcare Market by Application
12.5.8.1.5 Brazil Big Data In Healthcare Market by End User
12.5.8.2 Argentina Big Data In Healthcare Market
12.5.8.2.1 Argentina Big Data In Healthcare Market by Component
12.5.8.2.2 Argentina Big Data In Healthcare Market by Deployment
12.5.8.2.3 Argentina Big Data In Healthcare Market by Analytics Type
12.5.8.2.4 Argentina Big Data In Healthcare Market by Application
12.5.8.2.5 Argentina Big Data In Healthcare Market by End User
12.5.8.3 Rest of South and Central America Big Data In Healthcare Market
12.5.8.3.1 Rest of South and Central America Big Data In Healthcare Market by Component
12.5.8.3.2 Rest of South and Central America Big Data In Healthcare Market by Deployment
12.5.8.3.3 Rest of South and Central America Big Data In Healthcare Market by Analytics Type
12.5.8.3.4 Rest of South and Central America Big Data In Healthcare Market by Application
12.5.8.3.5 Rest of South and Central America Big Data In Healthcare Market by End User
13. IMPACT OF COVID-19 PANDEMIC ON GLOBAL BIG DATA IN HEALTHCARE MARKET
13.1 North America
13.2 Europe
13.3 Asia-Pacific
13.4 Middle East and Africa
13.5 South and Central America
14. INDUSTRY LANDSCAPE
14.1. MERGERS AND ACQUISITIONS
14.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
14.3. NEW PRODUCT LAUNCHES
14.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
15. BIG DATA IN HEALTHCARE MARKET, KEY COMPANY PROFILES
15.1. CERNER CORPORATION
15.1.1. Key Facts
15.1.2. Business Description
15.1.3. Products and Services
15.1.4. Financial Overview
15.1.5. SWOT Analysis
15.1.6. Key Developments
15.2. COGNIZANT
15.2.1. Key Facts
15.2.2. Business Description
15.2.3. Products and Services
15.2.4. Financial Overview
15.2.5. SWOT Analysis
15.2.6. Key Developments
15.3. DELL
15.3.1. Key Facts
15.3.2. Business Description
15.3.3. Products and Services
15.3.4. Financial Overview
15.3.5. SWOT Analysis
15.3.6. Key Developments
15.4. GE HEALTHCARE
15.4.1. Key Facts
15.4.2. Business Description
15.4.3. Products and Services
15.4.4. Financial Overview
15.4.5. SWOT Analysis
15.4.6. Key Developments
15.5. MCKESSON
15.5.1. Key Facts
15.5.2. Business Description
15.5.3. Products and Services
15.5.4. Financial Overview
15.5.5. SWOT Analysis
15.5.6. Key Developments
15.6. OPTUM
15.6.1. Key Facts
15.6.2. Business Description
15.6.3. Products and Services
15.6.4. Financial Overview
15.6.5. SWOT Analysis
15.6.6. Key Developments
15.7. PHILIPS
15.7.1. Key Facts
15.7.2. Business Description
15.7.3. Products and Services
15.7.4. Financial Overview
15.7.5. SWOT Analysis
15.7.6. Key Developments
15.8. SIEMENS
15.8.1. Key Facts
15.8.2. Business Description
15.8.3. Products and Services
15.8.4. Financial Overview
15.8.5. SWOT Analysis
15.8.6. Key Developments
15.9. XEROX
15.9.1. Key Facts
15.9.2. Business Description
15.9.3. Products and Services
15.9.4. Financial Overview
15.9.5. SWOT Analysis
15.9.6.
1. Cerner Corporation
2. Cognizant
3. Dell
4. GE Healthcare
5. Mckesson
6. Optum
7. Philips
8. Siemens
9. Xerox
10. All Scripts
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
Trends and growth analysis reports related to Big Data In Healthcare Market
Apr 2024
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