Healthcare Analytics Market by Technology, Component, Deployment, Application, End-User

Description

List of Tables

[190 Pages Report] The Healthcare Analytics Market size was estimated at USD 36.29 billion in 2023 and expected to reach USD 44.93 billion in 2024, at a CAGR 24.07% to reach USD 164.33 billion by 2030.

Healthcare analytics involves analyzing data related to healthcare services to gain insights that can be used to improve patient care and health outcomes. Hospitals and healthcare professionals can make more cost-effective decisions that impact patient care with proper healthcare data analysis. The data can be used to improve patient health and clinical outcomes. The healthcare industry is transforming technology advances, adopting electronic health records (EHR) and analytics to streamline healthcare processes. Governments worldwide focus on controlling healthcare fraud related to payments, and healthcare analytics technologies can assist the industry in monitoring fraud activities. However, integration and interoperability with existing models and their limited data privacy provisions impede product penetration. Advanced healthcare analytics technologies based on AI & Big Data with a better focus on safety can assist in addressing these issues. Moreover, increased investments in smart hospital facilities worldwide are expected to accelerate the deployment of healthcare analytics software and services. Market players are introducing different suites of products within healthcare analytics, such as predictive analytics or clinical decision support systems, to elevate their presence across the healthcare sector.

KEY MARKET STATISTICS
Base Year [2023]	USD 36.29 billion
Estimated Year [2024]	USD 44.93 billion
Forecast Year [2030]	USD 164.33 billion
CAGR (%)	24.07%

Technology: Growing technological advancements in predictive and prescriptive analytics for better patient care and system performance

Descriptive analytics involves mining historical data to identify patterns in patient outcomes, quality of care delivery, and operational efficiency. In healthcare, descriptive analytics is used for patient relationship management, understanding staffing and funding needs, or monitoring equipment or pharmaceutical sales. Predictive analytics uses ML and AI techniques to identify patterns in healthcare data that may predict future patient outcomes or quality of care delivery. Predictive modeling can help healthcare organizations anticipate patient needs more accurately and develop targeted interventions for specific populations, such as those at risk for chronic disease or readmissions. Prescriptive analytics helps in predicting healthcare results while also suggesting actions that should be taken to optimize patient outcomes or operational efficiency. Prescriptive models use advanced algorithms based on data from multiple sources, including demographics, medical history, treatments received, and provider behavior. Prescriptive models recommend optimal treatment plans or suggest changes to organizational processes that can aid in improving medical practices.

Component: Pertaining advantage of healthcare analytics services and software for enhancing the workflow of healthcare providers in making data-driven decisions

Healthcare analytics services involve consulting with organizations to help them build solutions to address their current and future business objectives. These services often include the development of applications, research reports, predictive models, simulations, and other analytical solutions that optimize healthcare operations. In addition to the services provided by healthcare analytics experts, many powerful software tools are available for healthcare professionals to use. These tools allow users to collect, store, analyze, visualize, and interpret large amounts of data to gain valuable insights into their healthcare organization's performance. Popular software programs include pivot tables, neural networks, data mining algorithms, and artificial intelligence systems that can be used for clinical analysis and hospital operational optimization. Data capture software includes collecting data from electronic medical records, patient surveys, lab tests, hospital visits, billing records, insurance claims, and other sources, which then utilizes statistical methods and algorithms to uncover correlations and insights from collected data to improve healthcare outcomes.

Deployment: Increasing demand for cloud-based healthcare services in academic organizations & biotechnology applications providing lower upfront costs and scalability

Application: Extensive deployment of healthcare analytics in the clinical and population health analytics

Clinical analytics involves using data and analytics to identify areas of improvement in patient care, providing actionable insights. This concept has grown to be widely used, particularly with the high deployment of predictive analytics in clinical practice. Financial analytics focuses on cost-effective resource utilization and improving financial performance in hospital settings. This can involve measuring the cost-effectiveness of treatments, understanding reimbursement models, and identifying opportunities for cost savings. Operational & administrative analytics optimize operational efficiency by analyzing functional costs across IT, finance, and HR departments. Population health analytics approaches healthcare from a population perspective, focusing on health outcomes in different categories of patients or regions. It involves examining trends in various disease rates or treatments over time and assessing the impact of policies or initiatives on specific people.

End-User: Growing utilization of healthcare analytics by healthcare payers and biotechnological companies

Academic organizations are using analytics to gain insights into healthcare issues, develop evidence-based treatments, and design research studies, while the biotechnology industry is applying healthcare analytics to increase the efficiency of drug development, identify potential markets for new products, and optimize pricing. Moreover, biotechnology companies can make informed decisions about product development and marketing campaigns with personalized data from various sources such as EHRs, wearables, public health databases, environmental data, and more. Analytics data help healthcare payers to maximize operational efficiency and reduce costs while still providing quality care, which increasingly focuses on preventive care rather than reactive interventions. Insurance companies can leverage healthcare analytics to enhance their business operations and assess large volumes of complex health and medical data such as claims, medical records, diagnoses and treatments, pharmacy records, laboratory test results, and other relevant patient data. Healthcare providers, including hospitals & clinics, use analytics to personalize patient care through improved decision-making, supply chain management, and financial performance. As such, healthcare analytics enables more informed decisions across all stakeholders in the healthcare industry.

Regional Insights

The healthcare analytics market in the Americas is highly innovation-driven, characterized by consistent research activities on advancing data science technologies and a growing focus on the region's hospitals to offer better patient outcomes and cost savings. The region is home to many established big data technology providers constantly working on expanding their healthcare knowledge to upgrade their existing portfolio. The Asia-Pacific region observes a slow and steady growth in healthcare analytics adoption, with many digital transformation initiatives and healthcare startups obtaining new funds for breakthrough diagnostic solutions. Increasing recognition from governments has been observed regarding deploying EHR and population analytics in the Asian region to expand data availability for better monitoring of regional health. Europe is expected to observe a vital increase in the use of healthcare analytics, characterized by the rising number of advances in healthcare infrastructure in the region and a growing number of initiatives for expanding smart hospitals. Programs such as Horizon Europe and the EU4Health initiative have supported digitalization and improved analytics in healthcare.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Healthcare Analytics Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Healthcare Analytics Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Healthcare Analytics Market, highlighting leading vendors and their innovative profiles. These include Alteryx, Inc., Apixio, Inc., Arcadia Solutions, LLC, Athenahealth, Inc., Cisco Systems, Inc., CitiusTech Inc., Clarify Health Solutions, Inc., ClosedLoop.ai Inc., Cloudticity, L.L.C, Cotiviti, Inc., Epic Systems Corporation, GE HealthCare Technologies Inc., Google LLC by Alphabet Inc., Health Catalyst, Inc., HealthVerity, Inc., HOKUTO Inc., Inovalon Holdings, Inc., International Business Machines Corporation, IQVIA Inc., McKesson Corporation, MedeAnalytics, Inc., Microsoft Corporation, Optum, Inc., Oracle Corporation, RIB Datapine GmbH, SAP SE, SAS Institute, Inc., Veradigm LLC, Verinovum, Virgin Pulse, and Wipro.

Market Segmentation & Coverage

This research report categorizes the Healthcare Analytics Market to forecast the revenues and analyze trends in each of the following sub-markets:

Technology
- Descriptive Analytics
- Predictive Analytics
- Prescriptive Analytics

Component
- Services
- Software

Deployment
- On-Cloud
- On-Premise

Application
- Clinical Analytics
- Financial Analytics
- Operational & Administrative Analytics
- Population Health Analytics

End-User
- Academic Organization
- Biotechnology Industry
- Healthcare Payer
- Healthcare Provider

Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam

Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Healthcare Analytics Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Healthcare Analytics Market?

3. What are the technology trends and regulatory frameworks in the Healthcare Analytics Market?

4. What is the market share of the leading vendors in the Healthcare Analytics Market?

5. Which modes and strategic moves are suitable for entering the Healthcare Analytics Market?

Product Code: MRR-434CCDA04D7F

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Adoption of electronic health records (EHR) to streamline healthcare processes
  - 5.1.1.2. Government focus on healthcare fraud detection and control
- 5.1.2. Restraints
  - 5.1.2.1. Difficulty in integration and interoperability with existing models
- 5.1.3. Opportunities
  - 5.1.3.1. Advanced healthcare analytics technology based on AI & big data
  - 5.1.3.2. New investments in smart hospital facilities worldwide
- 5.1.4. Challenges
  - 5.1.4.1. Concerns associated data privacy and security breaches
5.2. Market Segmentation Analysis
- 5.2.1. Technology: Growing technological advancements in predictive and prescriptive analytics for better patient care and system performance
- 5.2.2. Component: Pertaining advantage of healthcare analytics services and software for enhancing the workflow of healthcare providers in making data-driven decisions
- 5.2.3. Deployment: Increasing demand for cloud-based healthcare services in academic organizations & biotechnology applications providing lower upfront costs and scalability
- 5.2.4. Application: Extensive deployment of healthcare analytics in the clinical and population health analytics
- 5.2.5. End-User: Growing utilization of healthcare analytics by healthcare payers and biotechnological companies
5.3. Market Trend Analysis
- 5.3.1. Well-established organizations and promising government roles encourage health analytics adoption in America
- 5.3.2. The shift towards digital solutions in healthcare systems have enhanced the adoption of health analytics in the APAC region
- 5.3.3. Governments' healthcare programs and initiatives to boost the utilization of healthcare analytics in the EMEA region.
5.4. Cumulative Impact of Russia-Ukraine Conflict
5.5. Cumulative Impact of High Inflation
5.6. Porter's Five Forces Analysis
- 5.6.1. Threat of New Entrants
- 5.6.2. Threat of Substitutes
- 5.6.3. Bargaining Power of Customers
- 5.6.4. Bargaining Power of Suppliers
- 5.6.5. Industry Rivalry
5.7. Value Chain & Critical Path Analysis
5.8. Regulatory Framework Analysis

6. Healthcare Analytics Market, by Technology

6.1. Introduction
6.2. Descriptive Analytics
6.3. Predictive Analytics
6.4. Prescriptive Analytics

7. Healthcare Analytics Market, by Component

7.1. Introduction
7.2. Services
7.3. Software

8. Healthcare Analytics Market, by Deployment

8.1. Introduction
8.2. On-Cloud
8.3. On-Premise

9. Healthcare Analytics Market, by Application

9.1. Introduction
9.2. Clinical Analytics
9.3. Financial Analytics
9.4. Operational & Administrative Analytics
9.5. Population Health Analytics

10. Healthcare Analytics Market, by End-User

10.1. Introduction
10.2. Academic Organization
10.3. Biotechnology Industry
10.4. Healthcare Payer
10.5. Healthcare Provider

11. Americas Healthcare Analytics Market

11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States

12. Asia-Pacific Healthcare Analytics Market

12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam

13. Europe, Middle East & Africa Healthcare Analytics Market

13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom

14. Competitive Landscape

14.1. Market Share Analysis, 2023
14.2. FPNV Positioning Matrix, 2023
14.3. Competitive Scenario Analysis
- 14.3.1. ClosedLoop.ai Secures USD 11 million Series A Funding to Assist Healthcare Organizations Improve Clinical and Financial Outcome
- 14.3.2. Apixio and ClaimLogiq Merge To Form a Connected Care Platform
- 14.3.3. Google, Mayo Clinic Launch Generative Artificial Intelligence Collab
- 14.3.4. SAS and EBLA Unleash the Power of Advanced Analytics and AI in Qatar
- 14.3.5. Apollo Launches Next-Generation Platform for Rapid Insights in Healthcare and Life Sciences
- 14.3.6. Deloitte and Oracle Collaborate to Deliver Better, More Connected Health Systems
- 14.3.7. Epic, Microsoft partner to use generative AI for better EHRs
- 14.3.8. Arcadia Raises USD 125 Million in New Financing from Vista Credit Partners
- 14.3.9. Redox and Google Cloud Partner to Accelerate Healthcare Data Interoperability
- 14.3.10. Baker Tilly and MedeAnalytics Create Cost-Containment Solution for Healthcare Providers

15. Competitive Portfolio

15.1. Key Company Profiles
15.2. Key Product Portfolio