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"Agentic AI and the Future of Pharma Market Research"

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The pharmaceutical industry is experiencing a profound transformation in how it approaches commercial decision-making and insights delivery. Market research leaders are increasingly at the forefront of this change, driving new ways to generate and deliver insights.  

However, the core challenge is connecting the unprecedented volumes of primary and secondary data, and interpreting them in ways that are fast, flexible, and tailored to real decisions that brand teams can implement. Access this valuable resource to explore the new approaches that are enabling iterative, multi-angle analysis at the pace your business needs. 

We explore: 

• Emerging shifts in how pharmaceutical organizations generate and apply insights to commercial strategy 
• How market research teams can accelerate insight cycles without compromising rigor or context 
• Ways to reduce fragmentation by connecting primary, secondary, and unstructured data sources 
• Approaches that support hypothesis-driven, scenario-based, and multi-angle analysis 
• The evolving role of MR leaders as strategic advisors to brand teams—not just data interpreters 
• How AI-driven analytical models are reshaping expectations for speed, adaptability, and depth of insights 
• Practices that help ensure insights remain nuanced, evidence-based, and decision-ready 
• Where agentic and conversational analytics fit into the broader evolution of insight generation 

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