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The global healthcare analytics market is expected to reach USD 148 billion by 2030, at a CAGR of 25.02% from 2022 to 2030. Healthcare analytics market development would be driven by working on patient care. Patient care is the most critical area in medical services because any delay can lead to massive issues. A joint effort towards the improvement of patient care service along with other care groups will play a significant role in driving the market.
Healthcare analytics refers to the utilization of huge amounts of gathered information to provide organizations with actionable information. Healthcare analytics assesses different medical care information patterns to decide how clinical care can be improved while restricting excessive spending. This can assist with further developing the general patient care served in medical care. The field covers a broad scope of organizations and offers experiences on both the large-scale and small levels. It can uncover ways to progress in patient care quality, clinical information, diagnosis, and business management. For emergency clinics and medical care managers, healthcare data analytics offers a blend of financial and managerial information alongside data that can help patient care, better administrations, and work on existing techniques. When combined with business intelligence suites and data visualization tools, medical care analytics assist administrators with working better by giving real-time data that can uphold choices and convey considerable experiences.
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October 4- Inovalon launched RCM Intelligence. Inovalon is a prime provider of cloud-based software solutions for data-driven healthcare. This software solution gives healthcare providers a comprehensive view of key revenue cycle management (RCM) performance indicators like payer performance, denial percentages, and claims. In addition, this solution shows trends in payments over time and cash flow projections to motivate decisive action that improves financial performance and enables providers to concentrate on providing care to patients.
March 15- GE Healthcare introduce the Edison digital health platform, a data aggregation and hosting platform with combined artificial intelligence (AI) engine that is vendor-agnostic. The platform aims to enable healthcare systems and hospitals to effectively use AI tools, clinical, analytics and workflow to support revenue growth. It also improves care delivery, promotes high-level functions, and reduces the burden of IT that usually comes with installing and integrating apps throughout the organization. By connecting machines and other data sources into a consolidated layer of clinical data, the Edison Digital Health Platform is intended to speed up the integration of apps.
Drivers:
The rise in adoption of electronic health records (EHR)- The digital version of a patient's paper record is called an electronic health record, or EHR. EHRs are patient-focused, actual records that allow authorized users to access information immediately and securely. An electronic health record (EHR) system is developed to include a broader view of a patient's care and the data collected in a provider's office, even though it contains a patient's medical and treatment histories. EHRs can have a patient's medications, radiology images, medical history, treatment plans, diagnoses, allergies, laboratory & test results and immunization dates. They are an essential component of health IT. One of an EHR's most important features is the ability for authorized providers to develop and handle medical information in a digital format that can be distributed to various healthcare organizations, workplace clinics, medical imaging facilities, specialists, emergency facilities, laboratories, schools and pharmacies.
Restraints:
Issues related to data privacy and theft - Data theft and other data privacy and security issues pose risks to the healthcare sector as well as to other mainstream businesses. To benefit from their collaboration, patients and practitioners share much personal information. The sector has its own set of immediate priorities and pressures, and many people are involved. The healthcare system is now completely automated, and all records are stored electronically. The clinical data, personal health records of patients, and storage of this data pose a more significant threat to data privacy and security due to increased transparency.
Opportunities:
Rise in adoption from developing countries - Developing nations like Bangladesh, Belarus, Ecuador, Sri Lanka, Tajikistan and Libya, among others, can create a chance for the medical care investigation market. However, implementing such cutting-edge technologies is challenging due to a lack of infrastructure, technological advancements, and challenging financial circumstances. However, the market can benefit from the expansion of nations like India, Brazil, Saudi Arabia, and Mexico, among others. These nations have access to the most recent technologies and the necessary infrastructure to implement such technologies. Also, India is a densely populated country, so they should adopt this technology because it will help them fight the disease faster and reduce the number of deaths. It will be beneficial to be conscious of emerging treatments and medications.
Challenges:
Lack of skilled expertise - Organizations need to be proactive when planning and implementing new talent strategies because the healthcare industry's talent shortage is only anticipated to worsen in the coming years. Interest in medical services will keep developing as the baby boomer population ages. A significant portion of the healthcare workforce is also approaching retirement age. Younger workers need to be more to fill the void. Medical care associations must plan for that future by embracing exhaustive labor force arranging, laying out a robust talent pipeline, aiming to hold their ongoing specialists and inviting the younger generations who should step into those jobs. The scarcity is slowing efforts to carry out electronic health systems.
Regional segmentation analysis:
The regions analyzed for the market include North America, Europe, South America, Asia Pacific, the Middle East, and Africa. The North American region emerged as the most significant global healthcare analytics market, with a 46.98% market revenue share in 2022. Due to the greater prominence of important market players in the region, the healthcare analytics market is currently dominated by North America.
Also, more people seek better care management, and fewer are re-admitted to the hospital. Patient-centered care that lowers healthcare costs and improves patient outcomes is made possible by using healthcare management. The growth of this region is fueled by market expansion and improved healthcare quality, which has reduced hospital stays. Additionally, the digitization of healthcare systems is expected to accelerate during the forecast period, particularly in the United States.
North America Region Healthcare Analytics Market Share in 2022 – 46.98%
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Type segment analysis
The type segment is divided into descriptive analytics, predictive analytics, prescriptive analytics and cognitive analytics. The descriptive analytics segment dominated the market, with a market share of around 38.12% in 2022. The most common and fundamental type of analytics businesses utilize is descriptive analytics. Any part of the company can use descriptive analytics to keep track of operational performance and trends. Key Performance Indicator (KPIs) like year-over-year sales growth percentages, revenue per customer, and the average amount of time customers takes to pay their bills are examples of descriptive analytics. Financial statements, other reports, dashboards, and presentations all contain the results of descriptive analytics. Companies can obtain a better understanding of the past through descriptive analytics. Companies benefit from combining diagnostic, predictive, and prescriptive analytics to explain why something occurred and predict potential future outcomes and actions.
Component segment analysis
The component segment is divided into services, hardware and software. In 2022, the services segment dominated the market, accounting for around 35.13% of global revenue. The fact that they are indispensable and require repetitive tasks is one of the reasons that the service segment makes up such a large portion of this market. This is mainly because end users of healthcare analytics depend vigorously on specialist organizations for treatment, data storage, executing services, training, upkeep, and standard solution upgrades. Utilizing data for operational insights can be made easier for healthcare providers by deploying a healthcare analytics suite. The administration of donations and grants to hospitals and foundations is one central area where analytics can be used to optimize efforts.
Deployment Mode segment analysis
The deployment mode segment is divided into on-premises and cloud-based. In 2022, the on-premises segment accounted for a market share of around 51.28%. To use on-premises software, an organization must purchase a license or a copy of the software. There is typically greater security than with a cloud computing infrastructure because the software is licensed, and the entire instance resides within an organization. Because of the nature of healthcare data, businesses want to use the solution they believe is most secure, which is frequently the solution over which they have the most control.
Application segment analysis
The application segment is divided into clinical analytics, financial analytics and operation & administrative analytics. In 2022, the financial analytics segment dominated the market, accounting for around 37.45% of global revenue. Hospitals are no exception to the healthcare industry's struggle to strike a balance between increasing revenue and providing high-quality care while operating on historically low operating margins. By promoting initiatives for cost savings and spending management throughout an organization, data analytics can assist hospitals in successfully navigating these obstacles. Electronic health records (EHRs), medical imaging, payer records, pharmaceuticals, wearables, and medical devices are just a few healthcare data sources. Since donations constitute most healthcare providers' annual budgets, it is essential to organize and monitor expenditures and activity to establish appropriate objectives. In addition, it may assist in monitoring donor engagement, retention, and prior contributions.
End-User segment analysis
The end-user segment is divided into payers, providers and ACOs, HIEs, Mcos & TPAs. In 2022, the payers segment dominated the market, accounting for around 39.45% of global revenue. Healthcare payer analytics surveys information about payers' activities, well-being policies, and claims. Provider organizations can modify their approach to providing medical services based on the information obtained by evaluating payer data, which assist insurance companies in adapting current health policies. To efficiently collect and manage patient data across providers, shifts, and locations, healthcare payer analytics solutions offer a collaborative framework that encourages information sharing and analysis distribution.
Report Description:
| Attribute | Description |
|---|---|
| Market Size | Revenue (USD Billion) |
| Market size value in 2022 | USD 24.8 Billion |
| Market size value in 2030 | USD 148 Billion |
| CAGR (2022 to 2030) | 25.02% |
| Historical data | 2019-2020 |
| Base Year | 2021 |
| Forecast | 2022-2030 |
| Segments | Type, Component, Deployment Mode, Application and End-User |
| Regional Segments | The regions are segmented into South America, Europe, Asia Pacific, North America, the Middle East and Africa. |
As per The Brainy Insights, the size of the healthcare analytics market was valued at USD 24.8 billion in 2022 to USD 148 billion by 2030.
The global healthcare analytics market is growing at a CAGR of 25.02% during the forecast period 2022-2030.
The North American region emerged as the largest market for the healthcare analytics.
The rise in adoption of electronic health records will influence the market's growth.
1. Introduction
1.1. Objectives of the Study
1.2. Market Definition
1.3. Research Scope
1.4. Currency
1.5. Key Target Audience
2. Research Methodology and Assumptions
3. Executive Summary
4. Premium Insights
4.1. Porter’s Five Forces Analysis
4.2. Value Chain Analysis
4.3. Top Investment Pockets
4.3.1. Market Attractiveness Analysis by Type
4.3.2. Market Attractiveness Analysis by Component
4.3.3. Market Attractiveness Analysis by Deployment Mode
4.3.4. Market Attractiveness Analysis by Application
4.3.5. Market Attractiveness Analysis by End-User
4.3.6. Market Attractiveness Analysis by Region
4.4. Industry Trends
5. Market Dynamics
5.1. Market Evaluation
5.2. Drivers
5.2.1. The rise in adoption of electronic health records
5.3. Restraints
5.3.1. Issues related to data privacy and theft
5.4. Opportunities
5.4.1. Rise in adoption from developing countries
5.5. Challenges
5.5.1. Lack of skilled expertise
6. Global Healthcare Analytics Market Analysis and Forecast, By Type
6.1. Segment Overview
6.2. Descriptive Analytics
6.3. Predictive Analytics
6.4. Prescriptive Analytics
6.5. Cognitive Analytics
7. Global Healthcare Analytics Market Analysis and Forecast, By Component
7.1. Segment Overview
7.2. Services
7.3. Hardware
7.4. Software
8. Global Healthcare Analytics Market Analysis and Forecast, By Deployment Mode
8.1. Segment Overview
8.2. On-Premises
8.3. Cloud Based
9. Global Healthcare Analytics Market Analysis and Forecast, By Application
9.1. Segment Overview
9.2. Clinical Analytics
9.3. Financial Analytics
9.4. Operation & Administrative Analytics
10. Global Healthcare Analytics Market Analysis and Forecast, By End-User
10.1. Segment Overview
10.2. Payers
10.3. Providers
10.4. ACOs, HIEs, Mcos & TPAs
11. Global Healthcare Analytics Market Analysis and Forecast, By Regional Analysis
11.1. Segment Overview
11.2. North America
11.2.1. U.S.
11.2.2. Canada
11.2.3. Mexico
11.3. Europe
11.3.1. Germany
11.3.2. France
11.3.3. U.K.
11.3.4. Italy
11.3.5. Spain
11.4. Asia-Pacific
11.4.1. Japan
11.4.2. China
11.4.3. India
11.5. South America
11.5.1. Brazil
11.6. Middle East and Africa
11.6.1. UAE
11.6.2. South Africa
12. Global Healthcare Analytics Market-Competitive Landscape
12.1. Overview
12.2. Market Share of Key Players in the Healthcare Analytics Market
12.2.1. Global Company Market Share
12.2.2. North America Company Market Share
12.2.3. Europe Company Market Share
12.2.4. APAC Company Market Share
12.3. Competitive Situations and Trends
12.3.1. Product Launches and Developments
12.3.2. Partnerships, Collaborations, and Agreements
12.3.3. Mergers & Acquisitions
12.3.4. Expansions
13. Company Profiles
13.1. IBM
13.1.1. Business Overview
13.1.2. Company Snapshot
13.1.3. Company Market Share Analysis
13.1.4. Company Product Portfolio
13.1.5. Recent Developments
13.1.6. SWOT Analysis
13.2. Allscripts Healthcare
13.2.1. Business Overview
13.2.2. Company Snapshot
13.2.3. Company Market Share Analysis
13.2.4. Company Product Portfolio
13.2.5. Recent Developments
13.2.6. SWOT Analysis
13.3. CitiusTech Inc.
13.3.1. Business Overview
13.3.2. Company Snapshot
13.3.3. Company Market Share Analysis
13.3.4. Company Product Portfolio
13.3.5. Recent Developments
13.3.6. SWOT Analysis
13.4. ExlService Holdings, Inc.
13.4.1. Business Overview
13.4.2. Company Snapshot
13.4.3. Company Market Share Analysis
13.4.4. Company Product Portfolio
13.4.5. Recent Developments
13.4.6. SWOT Analysis
13.5. General Electric
13.5.1. Business Overview
13.5.2. Company Snapshot
13.5.3. Company Market Share Analysis
13.5.4. Company Product Portfolio
13.5.5. Recent Developments
13.5.6. SWOT Analysis
13.6. Health Catalyst
13.6.1. Business Overview
13.6.2. Company Snapshot
13.6.3. Company Market Share Analysis
13.6.4. Company Product Portfolio
13.6.5. Recent Developments
13.6.6. SWOT Analysis
13.7. Inovalon
13.7.1. Business Overview
13.7.2. Company Snapshot
13.7.3. Company Market Share Analysis
13.7.4. Company Product Portfolio
13.7.5. Recent Developments
13.7.6. SWOT Analysis
13.8. IQVIA
13.8.1. Business Overview
13.8.2. Company Snapshot
13.8.3. Company Market Share Analysis
13.8.4. Company Product Portfolio
13.8.5. Recent Developments
13.8.6. SWOT Analysis
13.9. McKesson
13.9.1. Business Overview
13.9.2. Company Snapshot
13.9.3. Company Market Share Analysis
13.9.4. Company Product Portfolio
13.9.5. Recent Developments
13.9.6. SWOT Analysis
13.10. MedeAnalytics
13.10.1. Business Overview
13.10.2. Company Snapshot
13.10.3. Company Market Share Analysis
13.10.4. Company Product Portfolio
13.10.5. Recent Developments
13.10.6. SWOT Analysis
13.11. Optum
13.11.1. Business Overview
13.11.2. Company Snapshot
13.11.3. Company Market Share Analysis
13.11.4. Company Product Portfolio
13.11.5. Recent Developments
13.11.6. SWOT Analysis
13.12. Oracle
13.12.1. Business Overview
13.12.2. Company Snapshot
13.12.3. Company Market Share Analysis
13.12.4. Company Product Portfolio
13.12.5. Recent Developments
13.12.6. SWOT Analysis
13.13. SAS Institute Inc.
13.13.1. Business Overview
13.13.2. Company Snapshot
13.13.3. Company Market Share Analysis
13.13.4. Company Product Portfolio
13.13.5. Recent Developments
13.13.6. SWOT Analysis
13.14. Wipro
13.14.1. Business Overview
13.14.2. Company Snapshot
13.14.3. Company Market Share Analysis
13.14.4. Company Product Portfolio
13.14.5. Recent Developments
13.14.6. SWOT Analysis
List of Table
1. Global Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
2. Global Descriptive Analytics Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
3. Global Predictive Analytics Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
4. Global Prescriptive Analytics Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
5. Global Cognitive Analytics Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
6. Global Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
7. Global Services Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
8. Global Hardware Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
9. Global Software Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
10. Global Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
11. Global On-Premises Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
12. Global Cloud Based Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
13. Global Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
14. Global Clinical Analytics Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
15. Global Financial Analytics Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
16. Global Operation & Administrative Analytics Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
17. Global Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
18. Global Payers Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
19. Global Providers Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
20. Global ACOs, HIEs, Mcos & TPAs Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
21. Global Healthcare Analytics Market, By Region, 2019-2030 (USD Billion)
22. North America Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
23. North America Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
24. North America Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
25. North America Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
26. North America Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
27. U.S. Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
28. U.S. Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
29. U.S. Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
30. U.S. Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
31. U.S. Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
32. Canada Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
33. Canada Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
34. Canada Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
35. Canada Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
36. Canada Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
37. Mexico Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
38. Mexico Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
39. Mexico Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
40. Mexico Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
41. Mexico Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
42. Europe Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
43. Europe Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
44. Europe Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
45. Europe Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
46. Europe Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
47. Germany Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
48. Germany Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
49. Germany Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
50. Germany Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
51. Germany Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
52. France Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
53. France Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
54. France Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
55. France Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
56. France Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
57. U.K. Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
58. U.K. Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
59. U.K. Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
60. U.K. Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
61. U.K. Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
62. Italy Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
63. Italy Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
64. Italy Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
65. Italy Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
66. Italy Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
67. Spain Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
68. Spain Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
69. Spain Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
70. Spain Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
71. Spain Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
72. Asia Pacific Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
73. Asia Pacific Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
74. Asia Pacific Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
75. Asia Pacific Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
76. Asia Pacific Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
77. Japan Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
78. Japan Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
79. Japan Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
80. Japan Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
81. Japan Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
82. China Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
83. China Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
84. China Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
85. China Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
86. China Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
87. India Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
88. India Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
89. India Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
90. India Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
91. India Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
92. South America Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
93. South America Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
94. South America Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
95. South America Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
96. South America Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
97. Brazil Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
98. Brazil Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
99. Brazil Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
100. Brazil Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
101. Brazil Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
102. Middle East and Africa Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
103. Middle East and Africa Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
104. Middle East and Africa Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
105. Middle East and Africa Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
106. Middle East and Africa Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
107. UAE Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
108. UAE Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
109. UAE Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
110. UAE Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
111. UAE Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
112. South Africa Healthcare Analytics Market, By Type, 2019-2030 (USD Billion)
113. South Africa Healthcare Analytics Market, By Component, 2019-2030 (USD Billion)
114. South Africa Healthcare Analytics Market, By Deployment Mode, 2019-2030 (USD Billion)
115. South Africa Healthcare Analytics Market, By Application, 2019-2030 (USD Billion)
116. South Africa Healthcare Analytics Market, By End-User, 2019-2030 (USD Billion)
List of Figures
1. Global Healthcare Analytics Market Segmentation
2. Healthcare Analytics Market: Research Methodology
3. Market Size Estimation Methodology: Bottom-Up Approach
4. Market Size Estimation Methodology: Top-Down Approach
5. Data Triangulation
6. Porter’s Five Forces Analysis
7. Value Chain Analysis
8. Global Healthcare Analytics Market Attractiveness Analysis by Type
9. Global Healthcare Analytics Market Attractiveness Analysis by Component
10. Global Healthcare Analytics Market Attractiveness Analysis by Deployment Mode
11. Global Healthcare Analytics Market Attractiveness Analysis by Application
12. Global Healthcare Analytics Market Attractiveness Analysis by End-User
13. Global Healthcare Analytics Market Attractiveness Analysis by Region
14. Global Healthcare Analytics Market: Dynamics
15. Global Healthcare Analytics Market Share by Type (2022 & 2030)
16. Global Healthcare Analytics Market Share by Component (2022 & 2030)
17. Global Healthcare Analytics Market Share by Deployment Mode (2022 & 2030)
18. Global Healthcare Analytics Market Share by Application (2022 & 2030)
19. Global Healthcare Analytics Market Share by End-User (2022 & 2030)
20. Global Healthcare Analytics Market Share by Regions (2022 & 2030)
21. Global Healthcare Analytics Market Share by Company (2021)
This study forecasts revenue at global, regional, and country levels from 2019 to 2030. The Brainy Insights has segmented the global healthcare analytics market based on below-mentioned segments:
Global Healthcare Analytics Market by Type:
Global Healthcare Analytics Market by Component:
Global Healthcare Analytics Market by Deployment Mode:
Global Healthcare Analytics Market by Application:
Global Healthcare Analytics Market by End-User:
Global Healthcare Analytics Market by Region:
Research has its special purpose to undertake marketing efficiently. In this competitive scenario, businesses need information across all industry verticals; the information about customer wants, market demand, competition, industry trends, distribution channels etc. This information needs to be updated regularly because businesses operate in a dynamic environment. Our organization, The Brainy Insights incorporates scientific and systematic research procedures in order to get proper market insights and industry analysis for overall business success. The analysis consists of studying the market from a miniscule level wherein we implement statistical tools which helps us in examining the data with accuracy and precision.
Our research reports feature both; quantitative and qualitative aspects for any market. Qualitative information for any market research process are fundamental because they reveal the customer needs and wants, usage and consumption for any product/service related to a specific industry. This in turn aids the marketers/investors in knowing certain perceptions of the customers. Qualitative research can enlighten about the different product concepts and designs along with unique service offering that in turn, helps define marketing problems and generate opportunities. On the other hand, quantitative research engages with the data collection process through interviews, e-mail interactions, surveys and pilot studies. Quantitative aspects for the market research are useful to validate the hypotheses generated during qualitative research method, explore empirical patterns in the data with the help of statistical tools, and finally make the market estimations.
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The phase involves the gathering and collecting of market data and its related information with the help of different sources & research procedures.
The data procurement stage involves in data gathering and collecting through various data sources.
This stage involves in extensive research. These data sources includes:
Purchased Database: Purchased databases play a crucial role in estimating the market sizes irrespective of the domain. Our purchased database includes:
Primary Research: The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. Primary research mainly involves in telephonic interviews, E-mail interactions and face-to-face interviews with the raw material providers, manufacturers/producers, distributors, & independent consultants. The interviews that we conduct provides valuable data on market size and industry growth trends prevailing in the market. Our organization also conducts surveys with the various industry experts in order to gain overall insights of the industry/market. For instance, in healthcare industry we conduct surveys with the pharmacists, doctors, surgeons and nurses in order to gain insights and key information of a medical product/device/equipment which the customers are going to usage. Surveys are conducted in the form of questionnaire designed by our own analyst team. Surveys plays an important role in primary research because surveys helps us to identify the key target audiences of the market. Additionally, surveys helps to identify the key target audience engaged with the market. Our survey team conducts the survey by targeting the key audience, thus gaining insights from them. Based on the perspectives of the customers, this information is utilized to formulate market strategies. Moreover, market surveys helps us to understand the current competitive situation of the industry. To be precise, our survey process typically involve with the 360 analysis of the market. This analytical process begins by identifying the prospective customers for a product or service related to the market/industry to obtain data on how a product/service could fit into customers’ lives.
Secondary Research: The secondary data sources includes information published by the on-profit organizations such as World bank, WHO, company fillings, investor presentations, annual reports, national government documents, statistical databases, blogs, articles, white papers and others. From the annual report, we analyse a company’s revenue to understand the key segment and market share of that organization in a particular region. We analyse the company websites and adopt the product mapping technique which is important for deriving the segment revenue. In the product mapping method, we select and categorize the products offered by the companies catering to domain specific market, deduce the product revenue for each of the companies so as to get overall estimation of the market size. We also source data and analyses trends based on information received from supply side and demand side intermediaries in the value chain. The supply side denotes the data gathered from supplier, distributor, wholesaler and the demand side illustrates the data gathered from the end customers for respective market domain.
The supply side for a domain specific market is analysed by:
The demand side for the market is estimated through:
In-house Library: Apart from these third-party sources, we have our in-house library of qualitative and quantitative information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, historic databases, internal audit reports and archives.
Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those cases, we use our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopt a robust research technique in order to produce the estimates:
Data Synthesis: This stage involves the analysis & mapping of all the information obtained from the previous step. It also involves in scrutinizing the data for any discrepancy observed while data gathering related to the market. The data is collected with consideration to the heterogeneity of sources. Robust scientific techniques are in place for synthesizing disparate data sets and provide the essential contextual information that can orient market strategies. The Brainy Insights has extensive experience in data synthesis where the data passes through various stages:
Market Deduction & Formulation: The final stage comprises of assigning data points at appropriate market spaces so as to deduce feasible conclusions. Analyst perspective & subject matter expert based holistic form of market sizing coupled with industry analysis also plays a crucial role in this stage.
This stage involves in finalization of the market size and numbers that we have collected from data integration step. With data interpolation, it is made sure that there is no gap in the market data. Successful trend analysis is done by our analysts using extrapolation techniques, which provide the best possible forecasts for the market.
Data Validation & Market Feedback: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helps us finalize data-points to be used for final calculations.
The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. The data validation interview and discussion panels are typically composed of the most experienced industry members. The participants include, however, are not limited to:
Moreover, we always validate our data and findings through primary respondents from all the major regions we are working on.
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