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“Everything we do today as a pharma company or as a service provider to a pharma company, we can do better with AI across the lifecycle.”
The life sciences industry has entered a new era, where artificial intelligence has moved from the margins to the mainstream and expanded from traditional machine learning to autonomous AI agents. These technologies are reshaping the entire lifecycle of life sciences and healthcare, from redefining research and development to streamlining clinical trial design and reshaping commercialization strategies.
A recent cross-industry survey conducted by IDC, which includes life sciences organizations, provides insight into the impact of AI adoption. In the report, 73% of industry participants surveyed reported “spectacular” or “significant” improvements in core operational processes from using vendor applications embedded with AI.1
In the same survey, respondents across industries noted the top three most important business benefits from AI: faster innovation, increased operational efficiency, and increased profits. These results signal a fundamental shift in how life sciences companies bring therapies to market. In automating routine processes and streamlining workflows, AI also drives faster time to market, fosters higher success rates, and allows for a heightened focus on higher-value strategic work.
By bringing AI into research, development and commercialization workflows, organizations can accelerate the pace and stay competitive. Perspectives are able to shift to be less reactive and more proactive. Using advanced models, organizations are better equipped to anticipate needs, surface deeper insights faster, and integrate intelligence directly into workflows. As technology continues to evolve, we can expect even broader and deeper impacts.
AI adoption drives measurable improvements at every stage across the asset lifecycle, acting as both a research partner and an operational companion. AI delivers value in four key ways: It increases the likelihood of success, accelerates speed to market, improves quality, and enhances stakeholder experiences.
AI is helping to improve the experience for patients at every stage of their journey. It can quickly match individuals to clinical trials that fit their needs, making it easier to find appropriate opportunities. With automated systems guiding patients through the consent process, enrollment becomes simpler and easier. Patients are no longer faced with long and complex forms. By making these documents easier to understand and providing interactive support, AI improves clarity and engagement, reduces patient confusion, and eliminates administrative delays.
Once patients are enrolled, AI enables better trial designs that select the right patients, ensuring the optimal benefit-risk balance. Early protocol assessments driven by AI can minimize patient burden (i.e., eliminating unnecessary site visits or biopsies). During clinical trials, AI-driven digital tools provide timely information, reminders and support, helping inform and retain patients. These improvements reduce administrative burdens, speed up access to new therapies, and ultimately create a smoother, more supportive experience for both patients and their caregivers.
Following successful trials, AI shortens the path to market for effective therapies. Commercialization in life sciences is all about timing, creation and impact. Current AI capabilities make the final data analysis, reporting and submission process easier, more efficient, and higher quality. Al supports launching a drug at the right time, creating positive patient impacts and bringing precision to brand messaging. These factors help transform go-to-market strategies. AI ensures that every launch, every campaign, and every engagement across life sciences stakeholders are timely and impactful.
Strategic initiatives, such as our work with NVIDIA, benefit our customers by bringing advanced infrastructure and additional technical expertise to IQVIA’s agentic AI solutions.
At IQVIA, we deliver this level of connectivity through our proprietary data assets, advanced technologies, and deep domain expertise. IQVIA Connected Intelligence™ brings together information from multiple sources, empowering our AI to generate informed, actionable insights and accelerate the journey from molecule to market. This foundation supports our Healthcare-grade AI®, which is designed to be transparent, explainable and governed by rigorous standards, ensuring trust and reliability for our clients.
Strategic partnerships, such as our collaboration with NVIDIA, benefit our customers by bringing advanced infrastructure and additional technical expertise to IQVIA’s agentic AI solutions. For organizations, this means expedited processes, improved quality, and faster access to powerful, scalable AI tools that are continually refined to meet evolving industry needs. By leveraging these partnerships, our customers can accelerate innovation, improve decision-making and achieve better outcomes for patients and stakeholders.
By improving success rates, reducing timelines, enhancing quality, and delivering better stakeholder experiences, AI is transforming how therapies are developed and delivered from start to finish. At IQVIA, we are working at the cutting edge of these advanced technologies. Together with our clients, we are fundamentally reimagining paths to innovation, ensuring treatments reach the right patients faster, with greater confidence and lasting impact.
To explore how AI solutions can benefit your organization, visit iqvia.com/AI.
References:
IDC, Worldwide GenAI Industry Use Case Early Adoption Trends, 2025: Life Sciences, doc # US53317424, April 2025
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