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AI and Analytics Drive Healthcare Transformation: ISG Report Highlights GenAI, Agentic AI, and Predictive Tools in Drug Development, Patient Care, and Operations

Healthcare and life sciences organizations are increasingly turning to generative AI (GenAI), agentic AI, and advanced analytics to drive innovation in patient care, drug development, and operational efficiency, according to the 2025 ISG Provider Lens® global Specialty Analytics Services — Life Sciences and Healthcare report. The research, published by Information Services Group (ISG), highlights how these technologies are becoming essential for long-term competitiveness in the sector. The report notes that analytics tools are evolving to become more adaptive and predictive, enabling organizations to make faster, data-driven decisions. Healthcare providers, payers, and life sciences firms are integrating these technologies to improve patient engagement, streamline clinical research, and enhance operational performance. However, challenges such as fragmented data systems and outdated infrastructure remain, prompting many organizations to partner with specialized analytics providers to overcome these barriers. In drug development, life sciences companies are leveraging AI-powered simulated trials and real-world data integration to accelerate discovery and reduce time to market. Advanced analytics are also supporting decentralized clinical trials by processing data from wearable devices and remote monitoring tools. Meanwhile, supply chains are becoming more transparent and responsive through the use of analytics, blockchain, and the Internet of Things (IoT), helping companies bring new therapies to patients faster. Hospitals and healthcare systems are using AI and analytics to address workforce shortages and financial pressures. Predictive models help forecast patient flow, enabling better staff scheduling and resource allocation. GenAI-enhanced decision support tools summarize complex patient histories, aiding clinicians in diagnosis and treatment planning. These systems also boost physician productivity by automating documentation and administrative tasks. Health insurers are expanding beyond traditional actuarial modeling to apply advanced analytics in fraud detection, anomaly identification, and risk assessment. Agentic AI copilots are now used by case managers to deliver real-time, personalized recommendations during patient interactions, improving service quality and strengthening trust across the ecosystem. Specialized service providers are responding by building modular, interoperable platforms that integrate domain-specific AI models, GenAI prompts, and agentic AI workflows. These platforms support cloud-native scalability, automated data ingestion and cleaning, and continuous monitoring and retraining to reduce bias and ensure model accuracy. “GenAI and agentic AI are now the foundations of long-term competitiveness in healthcare and life sciences,” said Manav Deep Sachdeva, senior manager and principal analyst at ISG and lead author of the report. “Providers with deep industry expertise are critical partners for organizations seeking to realize tangible benefits from their analytics strategies.” The report identifies Axtria, CitiusTech, Fractal Analytics, HARMAN Digital Transformation Solutions, MathCo, Quantiphi, Straive, and ZS as Leaders in the Life Sciences and Healthcare quadrant. Tiger Analytics is recognized as a Rising Star for its promising capabilities and strong growth potential. The 2025 ISG Provider Lens® report evaluates 21 providers globally and is available to subscribers or for individual purchase. ISG’s research combines data-driven analysis with real-world insights from its global advisory team, helping enterprises make informed decisions about technology partnerships.

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