Predictive Analytics in Healthcare Market Size and Outlook 2030

Report Description

Forecast Period	2026-2030
Market Size (2024)	USD 15.27 Billion
CAGR (2025-2030)	17.40%
Fastest Growing Segment	Software
Largest Market	North America
Market Size (2030)	USD 39.98 Billion

Market Overview

The Global Predictive Analytics in Healthcare Market, valued at USD 15.27 Billion in 2024, is projected to experience a CAGR of 17.40% to reach USD 39.98 Billion by 2030. Predictive analytics in healthcare utilizes historical and real-time medical data, employing statistical modeling, machine learning, and artificial intelligence, to forecast future patient outcomes, identify disease trends, and optimize operational and clinical decisions. Key drivers propelling this market's expansion include the escalating integration of electronic health records, an increasing emphasis on population health management and preventive care strategies, and the growing demand for personalized medicine solutions. Additionally, continuous advancements in artificial intelligence and machine learning technologies are enhancing the capabilities and adoption of these analytical tools across the healthcare continuum.

A significant challenge impeding market growth is the widespread hesitation in embracing new analytical innovations. According to the HIMSS Market Insights Survey, Data Analytics Platforms, 2024, 68% of healthcare organizations reported having no immediate strategy to adopt innovations in analytics and artificial intelligence. This reluctance is often linked to ongoing concerns regarding data privacy and security, as well as the complexities associated with integrating advanced analytics into existing healthcare infrastructure.

Key Market Drivers

Advancements in artificial intelligence and machine learning technologies serve as a primary driver for the global predictive analytics in healthcare market. These innovations facilitate the profound analysis of extensive and intricate datasets, moving beyond traditional methods to accurately forecast patient outcomes, identify disease patterns, and guide clinical decisions. According to Vention's 'AI in Healthcare 2024 Statistics: Market Size, Adoption, Impact' report, in 2023, 39 percent of surveyed healthcare leaders planned to invest in AI to predict outcomes and support clinical decisions, highlighting the direct application of these technologies. This continuous evolution in analytical capabilities underpins the expansion of predictive analytics. Further illustrating this, according to Morgan Stanley, as reported by Onix Networking in 2024, the healthcare industry increased its budget for AI technology from 5.7% in 2022 to 10.5% in 2024.

The persistent demand for cost reduction and enhanced operational efficiency drives the adoption of predictive analytics. Healthcare organizations confront considerable financial pressures and operational complexities, necessitating innovative solutions to optimize resource allocation and streamline workflows while maintaining care quality. Predictive analytics offers vital tools to forecast patient demand, manage supply chains, pinpoint revenue cycle inefficiencies, and decrease administrative overhead. For example, in November 2024, a study published in npj Digital Medicine, as reported by News-Medical. Net, indicated that grouping clinical tasks with large language models could reduce API costs by as much as 17-fold, potentially saving millions annually for larger health systems. This direct contribution to fiscal sustainability and operational performance provides a strong impetus for investment in these solutions.

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Key Market Challenges

A significant challenge impeding the expansion of the Global Predictive Analytics in Healthcare Market is the widespread hesitation in embracing new analytical innovations. This reluctance stems from ongoing concerns regarding data privacy and security, alongside the inherent complexities of integrating advanced analytics into disparate existing healthcare infrastructure. The sensitive nature of patient health information necessitates rigorous security protocols and compliance with various regulatory frameworks, which organizations often find difficult and costly to implement effectively.

This hesitation directly hampers market growth by slowing the adoption of predictive tools. Healthcare organizations are cautious about investing in and deploying solutions that require substantial changes to their current IT ecosystems or carry perceived risks to data integrity and patient trust. According to an MGMA poll in 2023, nearly three out of four medical groups (74%) had not added or expanded artificial intelligence tools, which are foundational to predictive analytics capabilities. This slow uptake limits the market's potential for new deployments and broader penetration, as concerns over data governance and integration complexity defer investment in advanced analytical platforms.

Key Market Trends

The shift towards proactive and preventive healthcare models significantly influences the global predictive analytics market. This trend moves care from reactive treatment to anticipating and averting health issues, thereby improving patient outcomes and potentially reducing long-term costs. Predictive analytics enables early identification of high-risk individuals through comprehensive data analysis for targeted interventions. For instance, in September 2025, UnitedHealth Group launched an AI-powered preventive health platform for chronic disease risk assessment, analyzing patient data to recommend personalized lifestyle interventions, showing early success in reducing hospitalizations. This strategic pivot drives demand for analytical tools supporting population health management and early disease detection.

The increased focus on data security and ethical artificial intelligence is a critical trend influencing the predictive analytics in healthcare market. As predictive tools manage sensitive patient information, robust data protection and responsible AI deployment are essential for fostering trust and adoption. Ethical AI frameworks address algorithmic bias, transparency, and accountability, ensuring equitable clinical applications. The College of Healthcare Information Management Executives (CHIME) unveiled ten AI principles in July 2024, guiding ethical AI implementation, specifically addressing patient safety, privacy, and cybersecurity. This necessity for secure implementation is further underscored, as The World Economic Forum noted in November 2024 that successfully implementing AI at scale requires targeted investment in areas like security.

Segmental Insights

The Software segment is experiencing rapid growth within the Global Predictive Analytics in Healthcare Market, driven by the increasing adoption of electronic health records (EHRs) that generate extensive datasets. This surge provides a rich foundation for predictive analytics software to deliver critical data-driven insights, which are essential for improving patient outcomes, reducing operational costs, and optimizing overall healthcare delivery. Furthermore, continuous advancements in artificial intelligence and machine learning technologies significantly enhance the capabilities of these software solutions, enabling more sophisticated analysis for personalized medicine and efficient patient care pathways. These advancements also aid in meeting regulatory demands, such as those related to data privacy and security governed by the Office for Civil Rights (OCR) under HIPAA.

Regional Insights

North America emerges as the leading region in the Global Predictive Analytics in Healthcare Market, primarily driven by its robust healthcare infrastructure and substantial investments in health information technology. The extensive adoption of electronic health records (EHRs) provides a rich data foundation essential for developing and implementing advanced analytical solutions. This dominance is further propelled by an increasing focus on personalized medicine and value-based care models, which necessitate predictive capabilities to optimize patient outcomes and operational efficiency. Additionally, a supportive regulatory environment, including stringent federal regulations like the Health Insurance Portability and Accountability Act (HIPAA), encourages the secure integration of digital health solutions, fostering innovation and widespread market adoption. The presence of numerous key market players and research institutions also contributes significantly to this regional leadership.

Recent Developments

In April 2025, Illumina Inc. and Tempus AI, Inc. announced a collaboration to accelerate the clinical adoption of next-generation sequencing tests. This partnership integrates Illumina's AI technologies with Tempus's comprehensive multimodal data platform to train genomic algorithms. The objective is to generate new insights that support the clinical value of sequencing, thereby standardizing the use of molecular profiling in precision medicine across various disease areas. This initiative is a significant development in leveraging predictive analytics for personalized patient care within the healthcare market.

In January 2025, Microsoft Research and Mayo Clinic initiated a collaboration to develop multimodal foundation models for radiology applications. This breakthrough research aims to integrate text and images to provide clinicians with faster access to comprehensive medical data. The goal is to speed up diagnoses and improve patient care by enhancing diagnostic accuracy. This partnership contributes to the Global Predictive Analytics in Healthcare Market through advanced AI research, which is essential for developing next-generation predictive tools in medical imaging and diagnostics.

In October 2024, GE HealthCare unveiled its new generative AI platform, CareIntellect, at an industry conference. The platform is designed to offer a suite of clinical and operational AI solutions, with its initial application focused on oncology. CareIntellect aims to streamline patient journeys by leveraging analytics and proactive interventions to elevate the standard of care. This innovation from GE HealthCare directly contributes to the global predictive analytics in healthcare market by enhancing diagnostic capabilities and improving operational efficiency through AI-powered insights.

In May 2024, mPulse launched its integrated predictive analytics and omnichannel engagement product capabilities, establishing a new category within the digital health ecosystem. The solution leverages Decision Point Predictive Analytics to model optimal digital interventions across diverse populations. This enables the seamless deployment of connected omnichannel programs that align with personalized recommendations generated by AI-powered predictive models. This development is directly relevant to the Global Predictive Analytics in Healthcare Market by improving patient engagement for health plans and enhancing outcomes in areas such as consumer assessment and retention.

Key Market Players

International Business Machines Corporation
Unitedhealth Group.
Oracle Cerner
Microsoft Corporation
Veradigm LLC
Verisk Analytics, Inc
MedeAnalytics, Inc.
Cloud Software Group, Inc.
SAS Institute, Inc.
Health Catalyst

By Application	By Component	By End User	By Deployment Mode	By Region
Clinical Decision & Diagnosis Support (CDS) Risk Prediction & Scoring Demand Forecast Drug Discovery Disease & Cancer Detection Fraud Detection Others	Hardware Software Services	Healthcare Providers Healthcare Payers Others	On premises Cloud	North America Europe Asia Pacific South America Middle East & Africa

Report Scope:

In this report, the Global Predictive Analytics in Healthcare Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Predictive Analytics in Healthcare Market, By Application:

o Clinical Decision & Diagnosis Support (CDS)

o Risk Prediction & Scoring

o Demand Forecast

o Drug Discovery

o Disease & Cancer Detection

o Fraud Detection

o Others

Predictive Analytics in Healthcare Market, By Component:

o Hardware

o Software

o Services

Predictive Analytics in Healthcare Market, By End User:

o Healthcare Providers

o Healthcare Payers

o Others

Predictive Analytics in Healthcare Market, By Deployment Mode:

o On premises

o Cloud

Predictive Analytics in Healthcare Market, By Region:

o North America

§ United States

§ Canada

§ Mexico

o Europe

§ France

§ United Kingdom

§ Italy

§ Germany

§ Spain

o Asia Pacific

§ China

§ India

§ Japan

§ Australia

§ South Korea

o South America

§ Brazil

§ Argentina

§ Colombia

o Middle East & Africa

§ South Africa

§ Saudi Arabia

§ UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies presents in the Global Predictive Analytics in Healthcare Market.

Available Customizations:

Global Predictive Analytics in Healthcare Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

Global Predictive Analytics in Healthcare Market is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at [email protected]

Table of content

1. Product Overview

1.1. Market Definition

1.2. Scope of the Market

1.2.1. Markets Covered

1.2.2. Years Considered for Study

1.2.3. Key Market Segmentations

2. Research Methodology

2.1. Objective of the Study

2.2. Baseline Methodology

2.3. Key Industry Partners

2.4. Major Association and Secondary Sources

2.5. Forecasting Methodology

2.6. Data Triangulation & Validation

2.7. Assumptions and Limitations

3. Executive Summary

3.1. Overview of the Market

3.2. Overview of Key Market Segmentations

3.3. Overview of Key Market Players

3.4. Overview of Key Regions/Countries

3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Predictive Analytics in Healthcare Market Outlook

5.1. Market Size & Forecast

5.1.1. By Value

5.2. Market Share & Forecast

5.2.1. By Application (Clinical Decision & Diagnosis Support (CDS), Risk Prediction & Scoring, Demand Forecast, Drug Discovery, Disease & Cancer Detection, Fraud Detection, Others)

5.2.2. By Component (Hardware, Software, Services)

5.2.3. By End User (Healthcare Providers, Healthcare Payers, Others)

5.2.4. By Deployment Mode (On premises, Cloud)

5.2.5. By Region

5.2.6. By Company (2024)

5.3. Market Map

6. North America Predictive Analytics in Healthcare Market Outlook

6.1. Market Size & Forecast

6.1.1. By Value

6.2. Market Share & Forecast

6.2.1. By Application

6.2.2. By Component

6.2.3. By End User

6.2.4. By Deployment Mode

6.2.5. By Country

6.3. North America: Country Analysis

6.3.1. United States Predictive Analytics in Healthcare Market Outlook

6.3.1.1. Market Size & Forecast

6.3.1.1.1. By Value

6.3.1.2. Market Share & Forecast

6.3.1.2.1. By Application

6.3.1.2.2. By Component

6.3.1.2.3. By End User

6.3.1.2.4. By Deployment Mode

6.3.2. Canada Predictive Analytics in Healthcare Market Outlook

6.3.2.1. Market Size & Forecast

6.3.2.1.1. By Value

6.3.2.2. Market Share & Forecast

6.3.2.2.1. By Application

6.3.2.2.2. By Component

6.3.2.2.3. By End User

6.3.2.2.4. By Deployment Mode

6.3.3. Mexico Predictive Analytics in Healthcare Market Outlook

6.3.3.1. Market Size & Forecast

6.3.3.1.1. By Value

6.3.3.2. Market Share & Forecast

6.3.3.2.1. By Application

6.3.3.2.2. By Component

6.3.3.2.3. By End User

6.3.3.2.4. By Deployment Mode

7. Europe Predictive Analytics in Healthcare Market Outlook

7.1. Market Size & Forecast

7.1.1. By Value

7.2. Market Share & Forecast

7.2.1. By Application

7.2.2. By Component

7.2.3. By End User

7.2.4. By Deployment Mode

7.2.5. By Country

7.3. Europe: Country Analysis

7.3.1. Germany Predictive Analytics in Healthcare Market Outlook

7.3.1.1. Market Size & Forecast

7.3.1.1.1. By Value

7.3.1.2. Market Share & Forecast

7.3.1.2.1. By Application

7.3.1.2.2. By Component

7.3.1.2.3. By End User

7.3.1.2.4. By Deployment Mode

7.3.2. France Predictive Analytics in Healthcare Market Outlook

7.3.2.1. Market Size & Forecast

7.3.2.1.1. By Value

7.3.2.2. Market Share & Forecast

7.3.2.2.1. By Application

7.3.2.2.2. By Component

7.3.2.2.3. By End User

7.3.2.2.4. By Deployment Mode

7.3.3. United Kingdom Predictive Analytics in Healthcare Market Outlook

7.3.3.1. Market Size & Forecast

7.3.3.1.1. By Value

7.3.3.2. Market Share & Forecast

7.3.3.2.1. By Application

7.3.3.2.2. By Component

7.3.3.2.3. By End User

7.3.3.2.4. By Deployment Mode

7.3.4. Italy Predictive Analytics in Healthcare Market Outlook

7.3.4.1. Market Size & Forecast

7.3.4.1.1. By Value

7.3.4.2. Market Share & Forecast

7.3.4.2.1. By Application

7.3.4.2.2. By Component

7.3.4.2.3. By End User

7.3.4.2.4. By Deployment Mode

7.3.5. Spain Predictive Analytics in Healthcare Market Outlook

7.3.5.1. Market Size & Forecast

7.3.5.1.1. By Value

7.3.5.2. Market Share & Forecast

7.3.5.2.1. By Application

7.3.5.2.2. By Component

7.3.5.2.3. By End User

7.3.5.2.4. By Deployment Mode

8. Asia Pacific Predictive Analytics in Healthcare Market Outlook

8.1. Market Size & Forecast

8.1.1. By Value

8.2. Market Share & Forecast

8.2.1. By Application

8.2.2. By Component

8.2.3. By End User

8.2.4. By Deployment Mode

8.2.5. By Country

8.3. Asia Pacific: Country Analysis

8.3.1. China Predictive Analytics in Healthcare Market Outlook

8.3.1.1. Market Size & Forecast

8.3.1.1.1. By Value

8.3.1.2. Market Share & Forecast

8.3.1.2.1. By Application

8.3.1.2.2. By Component

8.3.1.2.3. By End User

8.3.1.2.4. By Deployment Mode

8.3.2. India Predictive Analytics in Healthcare Market Outlook

8.3.2.1. Market Size & Forecast

8.3.2.1.1. By Value

8.3.2.2. Market Share & Forecast

8.3.2.2.1. By Application

8.3.2.2.2. By Component

8.3.2.2.3. By End User

8.3.2.2.4. By Deployment Mode

8.3.3. Japan Predictive Analytics in Healthcare Market Outlook

8.3.3.1. Market Size & Forecast

8.3.3.1.1. By Value

8.3.3.2. Market Share & Forecast

8.3.3.2.1. By Application

8.3.3.2.2. By Component

8.3.3.2.3. By End User

8.3.3.2.4. By Deployment Mode

8.3.4. South Korea Predictive Analytics in Healthcare Market Outlook

8.3.4.1. Market Size & Forecast

8.3.4.1.1. By Value

8.3.4.2. Market Share & Forecast

8.3.4.2.1. By Application

8.3.4.2.2. By Component

8.3.4.2.3. By End User

8.3.4.2.4. By Deployment Mode

8.3.5. Australia Predictive Analytics in Healthcare Market Outlook

8.3.5.1. Market Size & Forecast

8.3.5.1.1. By Value

8.3.5.2. Market Share & Forecast

8.3.5.2.1. By Application

8.3.5.2.2. By Component

8.3.5.2.3. By End User

8.3.5.2.4. By Deployment Mode

9. Middle East & Africa Predictive Analytics in Healthcare Market Outlook

9.1. Market Size & Forecast

9.1.1. By Value

9.2. Market Share & Forecast

9.2.1. By Application

9.2.2. By Component

9.2.3. By End User

9.2.4. By Deployment Mode

9.2.5. By Country

9.3. Middle East & Africa: Country Analysis

9.3.1. Saudi Arabia Predictive Analytics in Healthcare Market Outlook

9.3.1.1. Market Size & Forecast

9.3.1.1.1. By Value

9.3.1.2. Market Share & Forecast

9.3.1.2.1. By Application

9.3.1.2.2. By Component

9.3.1.2.3. By End User

9.3.1.2.4. By Deployment Mode

9.3.2. UAE Predictive Analytics in Healthcare Market Outlook

9.3.2.1. Market Size & Forecast

9.3.2.1.1. By Value

9.3.2.2. Market Share & Forecast

9.3.2.2.1. By Application

9.3.2.2.2. By Component

9.3.2.2.3. By End User

9.3.2.2.4. By Deployment Mode

9.3.3. South Africa Predictive Analytics in Healthcare Market Outlook

9.3.3.1. Market Size & Forecast

9.3.3.1.1. By Value

9.3.3.2. Market Share & Forecast

9.3.3.2.1. By Application

9.3.3.2.2. By Component

9.3.3.2.3. By End User

9.3.3.2.4. By Deployment Mode

10. South America Predictive Analytics in Healthcare Market Outlook

10.1. Market Size & Forecast

10.1.1. By Value

10.2. Market Share & Forecast

10.2.1. By Application

10.2.2. By Component

10.2.3. By End User

10.2.4. By Deployment Mode

10.2.5. By Country

10.3. South America: Country Analysis

10.3.1. Brazil Predictive Analytics in Healthcare Market Outlook

10.3.1.1. Market Size & Forecast

10.3.1.1.1. By Value

10.3.1.2. Market Share & Forecast

10.3.1.2.1. By Application

10.3.1.2.2. By Component

10.3.1.2.3. By End User

10.3.1.2.4. By Deployment Mode

10.3.2. Colombia Predictive Analytics in Healthcare Market Outlook

10.3.2.1. Market Size & Forecast

10.3.2.1.1. By Value

10.3.2.2. Market Share & Forecast

10.3.2.2.1. By Application

10.3.2.2.2. By Component

10.3.2.2.3. By End User

10.3.2.2.4. By Deployment Mode

10.3.3. Argentina Predictive Analytics in Healthcare Market Outlook

10.3.3.1. Market Size & Forecast

10.3.3.1.1. By Value

10.3.3.2. Market Share & Forecast

10.3.3.2.1. By Application

10.3.3.2.2. By Component

10.3.3.2.3. By End User

10.3.3.2.4. By Deployment Mode

11. Market Dynamics

11.1. Drivers

11.2. Challenges

12. Market Trends & Developments

12.1. Merger & Acquisition (If Any)

12.2. Product Launches (If Any)

12.3. Recent Developments

13. Global Predictive Analytics in Healthcare Market: SWOT Analysis

14. Porter's Five Forces Analysis

14.1. Competition in the Industry

14.2. Potential of New Entrants

14.3. Power of Suppliers

14.4. Power of Customers

14.5. Threat of Substitute Products

15. Competitive Landscape

15.1. International Business Machines Corporation

15.1.1. Business Overview

15.1.2. Products & Services

15.1.3. Recent Developments

15.1.4. Key Personnel

15.1.5. SWOT Analysis

15.2. Unitedhealth Group.

15.3. Oracle Cerner

15.4. Microsoft Corporation

15.5. Veradigm LLC

15.6. Verisk Analytics, Inc

15.7. MedeAnalytics, Inc.

15.8. Cloud Software Group, Inc.

15.9. SAS Institute, Inc.

15.10. Health Catalyst

16. Strategic Recommendations

17. About Us & Disclaimer

Report Description

Table of content

Figures and Tables

Frequently asked questions

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