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 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
7
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
8
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
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 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
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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.
MongoDB Atlas
A fully managed cloud database platform for storing and querying structured and unstructured data.
Claude Code
An agentic AI coding tool that writes, edits, and executes code autonomously.
Celonis Process Intelligence Platform
Process mining platform that extracts and visualizes end-to-end process flows from enterprise system event logs.
IBM Consulting
Technology consulting and digital transformation services
IBM Power Virtual Server
Cloud-based IBM Power infrastructure for running AIX, IBM i, and Linux workloads.
IBM Power10
IBM Power10 processor-based servers designed for enterprise AI, hybrid cloud, and mission-critical workloads.
SAP S/4HANA
SAP's next-generation ERP suite built on the SAP HANA in-memory database.
IBM PowerVM
Enterprise virtualization platform for IBM Power servers enabling flexible workload management.
AWS Transform for VMware
Automates VMware migration wave planning, dependency mapping, and workload conversion to AWS-native infrastructure.
Popular AI Tooling Categories in Pharmaceuticals
1
Data Platform
Platforms for storing, processing, and managing structured and unstructured data, including data warehouses, lakehouses, and data pipelines.
2
ML Platform
Platforms for building, training, deploying, and governing machine learning models, including ML orchestration, model serving, and AI development environments.
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
Workflow Automation
Platforms that connect systems and automate repetitive business processes through low-code integrations, RPA, and event-driven workflows.
7
AI Assistants
AI tools that help employees or customers accomplish tasks through natural language — answering questions, resolving requests, and surfacing knowledge proactively.
8
Business Intelligence
Platforms that help organizations visualize, analyze, and report on business data through dashboards, self-service analytics, and automated insights.
9
Developer Tools
Platforms and tools that accelerate software development, including AI coding assistants, CI/CD pipelines, and developer environments.
10
See all Categories →Supply Chain & Ops
AI tools for demand forecasting, inventory optimization, logistics planning, and predictive maintenance across supply chain operations.
Industry Overview
Avg. Company Size
SmallMid-sizeEnterprise
Industry Overview
Avg. Company Size
SmallMid-sizeEnterprise
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