How AI is accelerating drug discovery, clinical trials, and regulatory documentation in pharma.
Use Cases10
Companies8
Tools20
AI Use Cases in Pharmaceuticals
1
How Novo Nordisk Built a Clinical AI Platform in 9 Months with Databricks
Novo Nordisk · Research & Development
$157M+
Net new value from optimized clinical trials (5-year projection)
$157M+Net new value from optimized clinical trials (5-year projection)
2
Pfizer Migrates to SAP S/4HANA on IBM Power10
Pfizer · Operations
93%
Database reduction
93%Database reduction
3
How Bayer GBS Uses UiPath to Cut Procurement Errors by 70%
Bayer GBS · Supply Chain
70%
Reduction in manual errors
70%Reduction in manual errors
4
How CSL Used AWS Agentic AI to Exit 29 Data Centers and Modernize 5,000 Servers
CSL · Software Engineering
Minutes
Application discovery time
MinutesApplication discovery time
5
How Moderna Uses IBM Quantum Computing to Advance mRNA Medicine Development
Moderna · Research & Development
80
Qubits utilized in simulation
80Qubits utilized in simulation
6
How EVERSANA Built the First AI Agency Platform for Pharma Marketing in 30 Minutes
EVERSANA · Marketing
30 minutes
Campaign Development Time
30 minutesCampaign Development Time
7
How Novo Nordisk Uses Claude to Generate Clinical Study Reports in Minutes
Novo Nordisk · Research & Development
10 weeks → 10 minutes
Clinical study report creation time
10 weeks → 10 minutesClinical study report creation time
8
How AstraZeneca Uses Celonis to Optimize Global Supply Chain Inventory
AstraZeneca · Operations
Optimised levels unlocking cost savings
Inventory cost savings
Optimised levels unlocking cost savingsInventory cost savings
9
How IQVIA Cut Shared Service Center Costs 40% with Celonis Process Mining
IQVIA · Finance
40%
Reduction in Shared Service Center operating cost
40%Reduction in Shared Service Center operating cost
10
How STADA Uses Celonis to Cut Batch Release Throughput Time by 44%
STADA Arzneimittel AG · Operations
44%
Reduction in batch release throughput time
44%Reduction in batch release throughput time
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Popular AI Tools in Pharmaceuticals
Celonis
Process mining and execution management platform that identifies inefficiencies in business processes and drives intelligent automation.
Google Vertex AI
Google Cloud unified ML platform for building, deploying, and scaling AI models and generative AI applications.
Google Gemini
Google multimodal AI model family
IBM Quantum
Quantum computing platform by IBM providing access to quantum hardware and simulators for research.
Databricks Unity Catalog
Unified governance layer for managing access, lineage, and quality of data and AI assets across a lakehouse.
Databricks Agent Bricks
Framework for building, evaluating, and deploying domain-specific AI agents on a lakehouse platform.
Databricks Data Intelligence Platform
Unified lakehouse platform for data engineering, analytics, and AI
Databricks AI/BI Genie
Natural language querying interface that lets non-technical users ask questions in plain English and get instant analytics from data lakehouses.
Databricks SQL
Serverless SQL analytics engine built on the Databricks Lakehouse, delivering high-performance queries with elastic scaling and open data formats.
IBM Consulting
Technology consulting and digital transformation services
Popular AI Tooling Categories in Pharmaceuticals
1
ML Platform
Platforms for building, training, deploying, and governing machine learning models, including ML orchestration, model serving, and AI development environments.
2
Data Platform
Platforms for storing, processing, and managing structured and unstructured data, including data warehouses, lakehouses, and data pipelines.
3
Agentic Management
Platforms for orchestrating and managing autonomous AI agents that execute multi-step workflows across systems without continuous human input.
4
Cloud Infrastructure
Cloud services and infrastructure for compute, storage, networking, and container orchestration that underpin modern AI applications.
5
Large Language Models
AI tools that generate, understand, and reason with natural language, including foundation models, instruction-tuned LLMs, and multimodal models.
6
Business Intelligence
Platforms that help organizations visualize, analyze, and report on business data through dashboards, self-service analytics, and automated insights.
7
AI Assistants
AI tools that help employees or customers accomplish tasks through natural language — answering questions, resolving requests, and surfacing knowledge proactively.
8
Workflow Automation
Platforms that connect systems and automate repetitive business processes through low-code integrations, RPA, and event-driven workflows.
9
Supply Chain & Ops
AI tools for demand forecasting, inventory optimization, logistics planning, and predictive maintenance across supply chain operations.
10
See all Categories →Developer Tools
Platforms and tools that accelerate software development, including AI coding assistants, CI/CD pipelines, and developer environments.
Industry Overview
Avg. Company Size
SmallMid-sizeEnterprise
Industry Overview
Avg. Company Size
SmallMid-sizeEnterprise
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