Predictive Analytics In Healthcare Market Size, Share, Opportunities, And Trends By Component (Software, Services), By Deployment (On-premise, Cloud-based), By Application (Financial Analytics, Clinical Analytics, Operational Analytics, Population Health Analytics, Others), By End-User (Hospitals and Clinics, Insurance Companies, Research Organizations, Others), And By Geography - Forecasts From 2023 To 2028

The predictive analytics in healthcare market is anticipated to grow at a steady pace during the forecast period.

As of late, predictive analytics in healthcare market growth has developed essentially. Factors like as rising acknowledgment of computerized medical services arrangements, improvements in information examination innovation, and a developing accentuation on customized therapy have all added to showcase development. There is large predictive analytics in the healthcare market size, according to surveys from market research firms, with estimates ranging into billions of dollars. As more healthcare organizations recognize the advantages of data-driven insights for optimizing operations, lowering costs, and improving patient outcomes, predictive analytics in healthcare market share is expected to grow. The business is situated for additional extension and development because of continuous innovation enhancements and the expanded joining of predictive analytics into healthcare frameworks.

Introduction:

As of late, predictive analytics in the healthcare market size has developed fundamentally as medical services associations perceive the tremendous capability of information for working on quiet results, advancing tasks, and bringing down costs. Prescient investigation is the utilization of mind-boggling calculations and measurable models to break down past information and conjecture future events or results.

In healthcare, predictive analytics looks for patterns, trends, and risk factors in patient data, clinical records, financial data, and other relevant datasets. These insights assist healthcare professionals in proactively identifying and intervening with high-risk patients, estimating the progression of illness, optimizing treatment plans, and allocating resources more effectively. As the industry continues to adopt data-driven decision-making, predictive analytics in the healthcare market growth is likely to grow and become more innovative.

Key Players in Predictive Analytics in Healthcare Market:

• IBM Corporation: IBM provides an assortment of prescient investigation items for the medical services industry, including Watson Wellbeing, a mental processing stage that utilizations modern examination to assist with clinical choice help, populace well-being the board, and sickness expectations.
• SAS Institute Inc.: Predictive analytics tools and solutions are provided by SAS Institute to healthcare organizations. One of their services, SAS Healthcare Analytics Suite, lets businesses use data for risk assessment, population health management, and predictive modeling to improve patient outcomes and operational efficiency.
• Microsoft Corporation: Microsoft Azure Machine Learning offers healthcare-specific predictive analytics platforms and tools. Predictive models can be built and implemented using these technologies, data analysis can be automated, and insights can be obtained for patient care, disease prevention, and operational optimization.
• Allscripts Healthcare Solutions, Inc.: As a component of their whole medical services IT stage, Allscripts gives prescient examination arrangements. Populace well-being the board apparatuses, examination modules for clinical choice help, and prescient displaying capacities to empower customized patient consideration are among their contributions.

Drives:

• Increasing adoption of digital healthcare solutions:

The healthcare industry has been reshaped by the increasing use of digital healthcare technologies. To improve patient care, increase accessibility, and expedite healthcare delivery procedures, healthcare organizations are embracing the expansion of mobile health applications, telemedicine, wearable devices, and electronic health records. This pattern towards computerized medical services arrangements has produced a gigantic amount of information, requiring the utilization of modern examination, particularly predictive analytics, to reveal helpful experiences and further develop medical care results.

• Rising need for proactive healthcare management:

With the developing requirement for proactive medical services, the executives have supported the utilization of predictive analytics. Chronic diseases account for a significant portion of healthcare costs, according to data. One study found that proactive treatment of chronic diseases with predictive analytics can reduce hospitalizations by 34% and visits to the emergency department by 22%. Improved patient outcomes, cost savings, and better population health management are all possible outcomes of using predictive analytics to identify high-risk patients, intervene early, and implement preventative measures. The industry's adoption of predictive analytics is fundamentally influenced by this rising demand for proactive healthcare management.

• Integration of predictive analytics into healthcare workflows:

The incorporation of predictive analytics into healthcare operations has been a significant contributor to the business's expansion. As indicated by information, medical services associations who successfully embraced predictive analytics into their tasks saw worked on persistent results and functional productivity. One study found that predictive analytics reduced hospital readmissions by 30% and patient death rates by 25% in hospitals. By incorporating predictive analytics into clinical decision-making processes, healthcare professionals can improve overall healthcare delivery, identify high-risk patients, optimize resource allocation, and make decisions based on data. The utilization of predictive analytics has increased and healthcare outcomes have improved as a result of this integration.

• Predictive analytics in the healthcare market is expanding at a steady pace in the forecast period.

The market for predictive analytics in healthcare is segmented by component, deployment, application, end-user, and geography. Software and services are further subdivided into component categories. End-users are further segmented into hospitals & clinics, insurance companies, and research organizations.

North America is a market leader in predictive analytics in the healthcare market.

With significant predictive analytics in healthcare market share, North America is now the market leader in healthcare predictive analytics. North America's matchless quality might be credited to variables like the current medical care foundation, boundless utilization of computerized medical care advances, and huge consumptions in innovative work. Besides, the region is home to huge innovation firms that work in healthcare analytics. North America's predictive analytics in healthcare market share is being driven by the extensive use of predictive analytics solutions in healthcare organizations, the growing emphasis on value-based care, and the growing emphasis on improving patient outcomes through data-driven decision-making.

Key Developments:

• In January 2023, Owensboro Health and Optum announced a partnership to meet the changing healthcare needs of the community and enhance patient care and experience. Optum's integration with Owensboro Health's revenue cycle management operations and information technology services will open up new opportunities for team member advancement and career advancement. Owensboro Wellbeing and Optum will cooperate to improve patient results and security while additionally conveying more worth through the utilization of creative innovation.
• In November 2020, EVERSANA formed a strategic partnership with WorldQuantPredictive (WQP) which involved integrating the latter’s AI platform with EVERSANA’s ACTICS technology which would improve the prediction precision thereby enabling better access to proactive commercialization services to patients.

Segmentation

• BY COMPONENT
  • Software
  • Services     
• BY DEPLOYMENT
  • On-premise
  • Cloud-based 
• BY APPLICATION
  • Financial Analytics
  • Clinical Analytics
  • Operational Analytics
  • Population Health Analytics
  • Others   
• BY END-USER
  • Hospitals and Clinics
  • Insurance Companies
  • Research Organizations
  • Others 
• BY Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain    
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Others
  • Asia Pacific
    • Japan
    • China
    • India
    • South Korea
    • Indonesia
    • Taiwan
    • Others

1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY  

2.1. Research Data

2.2. Sources

2.3. Research Design

3. EXECUTIVE SUMMARY

3.1. Research Highlights

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porters Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

5. PREDICTIVE ANALYTICS IN HEALTHCARE MARKET, BY COMPONENT

5.1. Introduction

5.2. Software

5.3. Services      

6. PREDICTIVE ANALYTICS IN HEALTHCARE MARKET, BY DEPLOYMENT

6.1. Introduction

6.2. On-premise

6.3. Cloud-based  

7. PREDICTIVE ANALYTICS IN HEALTHCARE MARKET, BY APPLICATION

7.1.  Introduction

7.2.  Financial Analytics

7.3. Clinical Analytics

7.4. Operational Analytics

7.5. Population Health Analytics

7.6. Others    

8. PREDICTIVE ANALYTICS IN HEALTHCARE MARKET, BY END-USER

8.1. Introduction

8.2. Hospitals and Clinics

8.3. Insurance Companies

8.4. Research Organizations

8.5. Others  

9. PREDICTIVE ANALYTICS IN HEALTHCARE MARKET, BY GEOGRAPHY

9.1. Introduction

9.2. North America

9.2.1. United States

9.2.2. Canada

9.2.3. Mexico

9.3. South America

9.3.1. Brazil

9.3.2. Argentina

9.3.3. Others

9.4. Europe

9.4.1. United Kingdom

9.4.2. Germany

9.4.3. France

9.4.4. Italy

9.4.5. Spain

9.4.6. Others

9.5. The Middle East and Africa

9.5.1. Saudi Arabia

9.5.2. UAE

9.5.3. Others

9.6. Asia Pacific

9.6.1. Japan

9.6.2. China

9.6.3. India

9.6.4. South Korea

9.6.5. Indonesia 

9.6.6. Taiwan

9.6.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

10.1. Major Players and Strategy Analysis

10.2. Emerging Players and Market Lucrativeness

10.3. Mergers, Acquisitions, Agreements, and Collaborations

10.4. Vendor Competitiveness Matrix

11. COMPANY PROFILES

11.1. IBM Corporation

11.2. SAS Institute Inc.

11.3. Oracle Corporation

11.4. Microsoft Corporation

11.5. Allscripts Healthcare Solutions, Inc.

11.6. Cerner Corporation

11.7. Verisk Analytics, Inc.

11.8. MedeAnalytics, Inc.

11.9. Optum, Inc. (a subsidiary of UnitedHealth Group)

11.10. McKesson Corporation       

IBM Corporation

SAS Institute Inc.

Oracle Corporation

Microsoft Corporation

Allscripts Healthcare Solutions, Inc.

Cerner Corporation

Verisk Analytics, Inc.

MedeAnalytics, Inc.

Optum, Inc. (a subsidiary of UnitedHealth Group)

McKesson Corporation