Boston, Jan. 08, 2026 (GLOBE NEWSWIRE) -- According to the latest study from BCC Research, “Global Healthcare Predictive Analytics Markets” is projected to grow from $16.7 billion in 2025 and to $50.4 billion by the end of 2030, at a compound annual growth rate (CAGR) of 24.7% during the forecast period of 2025 to 2030.

The report offers a comprehensive analysis of the global market for healthcare predictive analytics, highlighting trends, challenges, and technological advances. It segments the market by application (clinical, financial, population health, operational, and others), deployment mode (on-premises and cloud-based), and end user (payers, providers, and others). The study covers the regions of North America, Europe, Asia-Pacific, the Middle East and Africa, and South America. It also explores ESG initiatives, emerging technologies, and concludes with a detailed competitive landscape featuring profiles of leading companies.

This report is especially relevant now due to the growing urgency in addressing rising healthcare costs, which is accelerating the shift toward value-based care models. At the same time, the rapid adoption of artificial intelligence in healthcare is prompting updates to regulatory frameworks. These developments are creating heightened interest among stakeholders such as providers, payers, and technology vendors, making this analysis timely and valuable for strategic decision-making.

The factors driving the market’s growth include:

Rising Adoption of Electronic Health Records: EHRs digitize patient information, making it easier to collect and analyze large volumes of health data. This enables predictive analytics to identify patterns, forecast outcomes, and support clinical decisions more effectively.

Growing Focus on Reducing Healthcare Costs: Predictive analytics helps healthcare providers cut costs by preventing unnecessary procedures, reducing hospital readmissions, and improving resource utilization through early risk detection and better care planning.

Increasing Adoption of the Internet of Things (IoT): IoT devices such as wearables and remote monitors generate real-time health data. Predictive tools use this data to track patient conditions, detect early warning signs, and personalize treatments, enhancing care quality and efficiency.

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Report Synopsis

Interesting facts:

• The increase in digitalized health records, rising awareness, and growing use of wearable devices have propelled the adoption and effectiveness of predictive analytics tools in clinical settings.

• Artificial intelligence in predictive models boosts accuracy and speeds results, empowering faster clinical decisions while reducing workloads and helping prevent burnout among healthcare professionals, especially in demanding hospital environments.

The report addresses the following questions:

1. What are the healthcare predictive analytics market's projected size and growth rate?

• The global healthcare predictive analytics market was $13.5 billion in 2024 and expected to grow at a CAGR of 24.7%, reaching $50.4 billion by the end of 2030.

2. What factors are driving the growth of the market?

• The healthcare predictive analytics market is driven by rising adoption of EHRs, growing focus on cost reduction, and increasing IoT integration.

3. What market segments are covered in the report?

• The healthcare predictive analytics market is segmented based on application, deployment mode, end user, and region.

4. Which application segment will be dominant through 2030?

• The financial segment will be dominant through 2030.

5. Which region has the largest share of the healthcare predictive analytics market?

• North America holds the largest share of the market.

Market leaders include:

• CLOSEDLOOP
• CLOUDERA INC.
• DATABRICKS
• EPIC SYSTEMS CORP.
• HEALTH CATALYST
• IBM
• INOVALON
• MCKESSON CORP.
• MICROSOFT
• ORACLE
• SAS INSTITUTE INC.
• TEMPUS
• UNITEDHEALTH GROUP
• VERADIGM LLC
• VERISK ANALYTICS INC.

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