• NEW
    Tech Launch Perspective
    July 22, 2026

    Life sciences enterprises are moving beyond isolated generative AI pilots toward governed, multi-agent workflows that support clinical, commercial, and real-world activities. This shift is increasing demand for platforms that combine regulatory-grade data governance, enterprise interoperability, scalable…
  • Provider Recognition
    July 15, 2026

    Pharmaceutical enterprises are accelerating technology investments to modernize operations across the pharmaceutical value chain spanning drug discovery, clinical development, manufacturing, sales and marketing, supply chain and distribution, and pharmacovigilance. As AI, cloud, and data-driven capabilities become…
  • Life Sciences commercial teams have a familiar problem: every few years, the industry finds a new way to create fragmentation.  First came Customer Relationship Management (CRM) add-ons. Then omnichannel tools, content platforms, analytics dashboards, field enablement systems, event platforms,…
  • Blog
    July 08, 2026

    Artificial Intelligence (AI) is having its moment. After years of cautious skepticism, pilot-stage overhang, and boardroom debates, the conversation has moved beyond experimentation. Enterprises are no longer asking whether to deploy agents, they are now asking how fast they can scale them across their entire workflow estate. However, speed comes at a price and almost nobody is doing the math.   The warning signs…
  • Technology Awareness Deep Dive
    June 29, 2026

    This report examines the evolution of data center cooling as it becomes a foundational enabler of AI-scale infrastructure by supporting the rapid growth of graphics processing unit-intensive workloads, High-performance Computing (HPC) workloads, and machine learning workloads. The…
  • State of the Market
    June 22, 2026

    Life sciences enterprises are rethinking Customer Relationship Management (CRM) services as commercial transformation becomes more complex, platform-driven, and outcome-focused. As organizations migrate to cloud-based CRM environments, expand their Veeva and Salesforce ecosystems, and navigate increasingly complex…
  • For years, life sciences commercial technology providers sold nouns. Customer Relationship Management (CRM). Analytics. Content. Events. Patient engagement. Next-best-action. Learning. Field enablement.  Each category had its own buyer, its own implementation partner, its own operating model, and often its own dashboard.…
  • Roundtable
    April 16, 2026

    Following our GBS Operating Model FutureCast workshop, Everest Group is convening a select group of GBS leaders for an interactive working session on Thursday, May 07, to pressure test emerging perspectives on reimagining the operating model in the age of agentic AI.  …
  • Roundtable
    March 31, 2026

    Following our GBS Operating Model FutureCast workshop, Everest Group is convening a select group of GBS leaders for an interactive working session on Tuesday, April 14, to pressure test emerging perspectives on reimagining the operating model in the age of agentic AI.  …
  • Tech Provider Spotlight
    March 19, 2026

    Life sciences commercial engagement is undergoing a fundamental transformation as enterprises move from siloed, channel-centric models to coordinated, customer-centric omnichannel strategies. Increasing Healthcare Professionals (HCP) access constraints, evolving customer expectations, proliferation of digital channels, and mounting…
  • Discovery
    March 02, 2026

    Discoveries focus on specific science and technology innovations that address today’s critical business issues and challenges. These brief yet detailed profiles highlight innovations across the world's leading companies, start-ups, universities, institutes, and the entire R&D ecosystem…
  • Discovery
    Feb. 27, 2026

    Discoveries focus on specific science and technology innovations that address today’s critical business issues and challenges. These brief yet detailed profiles highlight innovations across the world's leading companies, start-ups, universities, institutes, and the entire R&D ecosystem…
  • Tech Launch Perspective
    Feb. 26, 2026

    Life sciences enterprises are under pressure to accelerate research, improve evidence generation, and operationalize AI across clinical and commercial functions. Fragmented data estates, evolving regulatory requirements, and the growing importance of real-world and genomic data are…
  • Feb. 04, 2026

    As the Veeva ecosystem continues to expand rapidly - now representing a market of nearly $2 billion- life sciences organizations are rethinking how they approach Veeva-enabled transformation. What was once focused primarily on implementation is evolving…
  • Video
    Feb. 03, 2026

    As Veeva becomes the cornerstone of strategic transformation in life sciences, expectations from service providers are rapidly evolving. In this Q&A session, Chunky Satija, Vice President, and Rohit K, Practice Director, from Everest Group, discuss the…
  • Discovery
    Jan. 27, 2026

    Discoveries focus on specific science and technology innovations that address today’s critical business issues and challenges. These brief yet detailed profiles highlight innovations across the world's leading companies, start-ups, universities, institutes, and the entire R&D ecosystem…
  • Discovery
    Jan. 12, 2026

    Discoveries focus on specific science and technology innovations that address today’s critical business issues and challenges. These brief yet detailed profiles highlight innovations across the world's leading companies, start-ups, universities, institutes, and the entire R&D ecosystem…
  • Viewpoint
    Jan. 09, 2026

    As pharma enterprises modernize data architectures, automate workflows, and scale AI across the value chain, scientific expertise is becoming essential to realize meaningful outcomes from digital initiatives. Without scientific grounding, digital systems risk producing insights that…
  • Provider Compendium
    Dec. 30, 2025

    Enterprises are repositioning quality from a downstream testing activity to a strategic engineering capability embedded across the software development life cycle. As digital, cloud, and AI initiatives scale, expectations are moving beyond defect identification toward resilience,…
  • Voice of the Customer
    Dec. 18, 2025

    AI- and automation-enabled workflows, advanced data and analytics capabilities, and increasingly interoperable technology stacks are rapidly and meaningfully transforming the pharma platforms landscape. Together, these shifts are enabling greater efficiency, scalability, and agility across the biopharma…

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