Int'l : +1(646) 600-5072 | query@kbvresearch.com
Industry Insights | Market Trends | Highest number of Tables | 24/7 Analyst Support
According to a new report, published by KBV research, The Global Diagnostic Analytics In Healthcare Industry Market size is expected to reach $61.8 billion by 2031, rising at a market growth of 29.0% CAGR during the forecast period.
The Cloud-Based segment registered the maximum revenue in the Global Diagnostic Analytics in Healthcare Industry Market by Deployment Mode in 2023, thereby, achieving a market value of $26 billion by 2031. Cloud solutions allow healthcare organizations to access advanced diagnostic analytics tools without the need for heavy upfront investments in IT infrastructure. Additionally, remotely managing and analyzing data is crucial in scenarios like the COVID-19 pandemic, where remote accessibility is necessary.
The Clinical Data segment is poised to grow at a CAGR of 27.9 % during the forecast period. Clinical data provides a comprehensive view of patient histories, diagnoses, treatments, and outcomes, enabling healthcare providers to make informed decisions. The demand for efficient patient management, improved care quality, and cost optimization has further driven the adoption of analytics tools that leverage clinical data. Moreover, government initiatives to digitize healthcare systems and incentivize EHR implementation have significantly boosted this segment.
The Hospitals segment captured the maximum revenue in the Global Diagnostic Analytics in Healthcare Industry Market by End-User in 2023, thereby, achieving a market value of $25.3 billion by 2031. Hospitals rely heavily on diagnostic analytics to manage large volumes of patient data, improve diagnostic accuracy, and optimize resource allocation. With the growing focus on value-based care and improving patient outcomes, hospitals increasingly adopt advanced analytics solutions to streamline operations and enhance decision-making.
The Predictive Analytics segment is experiencing a CAGR of 28 % during the forecast period. Predictive analytics helps identify high-risk patients, predict disease outbreaks, and lower hospital readmission rates by evaluating both historical and current data. Its role in personalizing treatment plans and optimizing resource allocation has gained prominence as healthcare systems increasingly shift toward value-based care.
The Artificial Intelligence (AI) & Machine Learning (ML) segment led the maximum revenue in the Global Diagnostic Analytics in Healthcare Industry Market by Technology in 2023, thereby, achieving a market value of $22.4 billion by 2031. The AI and ML segment garnered the largest revenue share, driven by their capabilities to enhance diagnostic accuracy, predict patient outcomes, and personalize treatment plans. The integration of AI and ML into diagnostic processes has enabled healthcare providers to analyze complex datasets efficiently, leading to improved clinical decision-making and operational efficiency.
The Disease Detection & Diagnosis segment is growing at a CAGR of 27.2 % during the forecast period. The dominance of the disease detection and diagnosis segment is driven by the rising prevalence of chronic diseases such as diabetes, cancer, and cardiovascular conditions, which require early and accurate identification for effective treatment. Advances in diagnostic tools, including biomarker analysis, genetic testing, and AI-driven solutions, have significantly enhanced the speed and precision of disease detection.
Full Report: https://www.kbvresearch.com/diagnostic-analytics-in-healthcare-industry-market/
The North America region dominated the Global Diagnostic Analytics in Healthcare Industry Market by Region in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $22.7 billion by 2031. The Europe region is anticipated to grow at a CAGR of 28.6% during (2024 - 2031). Additionally, The Asia Pacific region would witness a CAGR of 30% during (2024 - 2031).
By Deployment Mode
By Data Source
By End-User
By Type
By Technology
By Application
By Geography
Related Reports: