Reports

Pharma Forecasting 2026: Life Sciences Benchmarking Report

Admin — Thu, 26 Feb 2026 11:19:00 GMT

The life sciences forecasting function stands at a critical juncture. While 100% of organizations we surveyed plan to integrate AI, ML, or GenAI into their forecasting workflows soon, current adoption remains surprisingly minimal. This striking paradox reveals an industry that’s poised for transformation. One that’s not held back by resistance, but by practical barriers that can be overcome.

The Next Wave of Pharma Marketing: What 170+ MMX Studies Reveal

Admin — Mon, 16 Feb 2026 10:12:11 GMT

Pharmaceutical marketing has reached a critical inflection point. What began as a pandemic-driven digital surge has evolved into something far more nuanced: a sophisticated hybrid model where traditional and digital channels coexist strategically, each playing distinct roles in the marketing mix.

From Ad Hoc Analytics to Autonomous Insights with AI

Admin — Wed, 11 Feb 2026 05:47:23 GMT

Your analytics teams spend 60-80% of their time on data preparation while urgent business requests pile up. Ad hoc requests that should take hours stretch into days. When your capacity is overwhelmed, strategic analysis gets delayed.

Customer-Centric Omnichannel Orchestration in Pharma

Admin — Mon, 12 Jan 2026 06:09:47 GMT

Unlock the Future of Pharma Engagement

Healthcare providers overwhelmingly prefer digital-first engagements, rather than rep-centric interactions. Yet, after billions invested in digital transformation initiatives, HCPs still report low satisfaction, especially with younger clinicians. Delivering coordinated, personalized experiences continues to be a challenge.

AI-Powered Incentive Compensation in Life Sciences

Admin — Thu, 04 Dec 2025 07:04:02 GMT

Key Takeaways from Our Executive Roundtable

Explore the latest thinking from more than 20 commercial and incentive compensation (IC) leaders across pharma and biotech, as they address changes in field force motivation, artificial intelligence (AI) integration, and the application of behavioral science in IC design.

How Agentic AI is Redefining Sales Excellence in Life Sciences?

Admin — Tue, 28 Oct 2025 12:19:23 GMT

Why Agentic AI Is a Game-Changer

Agentic AI is revolutionizing commercial and sales excellence in the life sciences industry by moving beyond traditional and generative AI. It enables proactive, autonomous decision-making, operating in an “always-on” mode to deliver real-time recommendations and insights.

Omnichannel Strategy in Pharma: Ambition vs. Reality | Axtria Ignite 2025

Admin — Fri, 26 Sep 2025 07:33:29 GMT

Pharmaceutical companies have invested heavily in omnichannel strategies to deliver personalized, data-driven customer engagement across digital and in-person touchpoints. While early wins like AI-powered content orchestration and improved engagement rates are encouraging, many organizations are still navigating challenges such as organizational silos, regulatory constraints, and technology adoption hurdles.

The New Standard for Life Sciences with Embedded Agentic AI

Admin — Fri, 26 Sep 2025 06:05:23 GMT

The Problem with Bolt-On AI

In life sciences, every missed moment is a missed patient. Delayed decisions cost prescriptions, revenue, and patient outcomes. Yet most companies still treat AI as an add-on—bolting on tools that recommend but never act, leaving teams to close the gap manually.

From Patient 360 to Patient Intelligence | Agentic AI in Pharma

Admin — Tue, 09 Sep 2025 09:01:57 GMT

The global agentic AI in life sciences market is projected to grow from an estimated $530 million in 2024 to nearly $5 billion by 2030. This panel report captures a vital discussion on how autonomous AI systems and comprehensive data integration are transforming patient care and pharmaceutical operations.

Reimagining Data Platforms in the Agentic AI Era | Axtria Ignite 2025 Report

Admin — Wed, 03 Sep 2025 06:51:44 GMT

Only 23% of pharma and healthcare companies have adopted agentic AI, according to a recent survey. This statistic reveals a massive untapped opportunity—but also a warning: rushing into AI-driven automation without modernizing data platforms could create compliance, trust, and operational risks.