Lab Automation in Drug Discovery Market Size, Share, Growth, Trend & Forecast to 2030 | Credence Research

The Lab Automation in Drug Discovery Market was valued at USD 5845.8 Million in 2022 and is expected to reach USD 8506.2 Million in 2030, expanding at a CAGR of 4.8% between 2023 and 2030.

The latest market report published by Credence Research, Inc. The global demand for lab automation in the drug discovery market was valued at USD 5845.8 Million in 2022 and is expected to reach USD 8506.2 Million in 2030, expanding at a CAGR of 4.8% between 2023 and 2030.

The field of drug discovery has undergone a remarkable transformation in recent years, thanks to the advent of lab automation. This technological revolution has streamlined and accelerated the drug development process, offering unprecedented precision, speed, and cost-efficiency. In this article, we will explore the Lab Automation in Drug Discovery market, its growth drivers, and its impact on the pharmaceutical industry.

The Evolution of Drug Discovery

Traditionally, drug discovery involved manual and time-consuming processes, from the initial screening of compounds to the optimization of drug candidates. This often resulted in lengthy development timelines and soaring research costs. However, lab automation has emerged as a game-changer, enabling researchers to perform tasks with greater efficiency and reliability.

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Key Growth Drivers

  • Speed and Efficiency: Lab automation drastically reduces the time required for various experiments and assays. Automated liquid handling, robotic sample processing, and high-throughput screening techniques enable researchers to conduct experiments 24/7, accelerating drug discovery timelines.
  • Precision and Reproducibility: Automation minimizes human error, ensuring consistent and reliable results. This is critical in drug discovery, where even minor variations can have profound consequences on the efficacy and safety of a potential drug.
  • Cost Savings: While the initial investment in lab automation systems can be significant, the long-term cost savings are substantial. By eliminating the need for manual labor and reducing experimental errors, pharmaceutical companies can optimize their resources and budgets.
  • Data Management: Lab automation generates vast amounts of data. Advanced software and analytics tools allow researchers to process and analyze this data more efficiently, facilitating data-driven decision-making in drug development.

Market Trends

The Lab Automation in Drug Discovery market has witnessed impressive growth in recent years and is expected to continue expanding. Some notable trends include:

  • Integration of Artificial Intelligence (AI): Machine learning algorithms and AI-driven systems are being integrated into lab automation to enhance data analysis, predict compound behavior, and optimize experimental designs.
  • Customized Solutions: Pharmaceutical companies are increasingly investing in customized automation solutions tailored to their specific needs, leading to improved productivity and innovation.
  • High-Content Screening: Lab automation is enabling high-content screening, which involves the analysis of multiple cellular parameters simultaneously. This approach helps identify potential drug candidates with greater accuracy.
  • Outsourcing: Many pharmaceutical companies are outsourcing drug discovery processes to specialized service providers equipped with cutting-edge lab automation technologies, further driving the market's growth.

Impact on the Pharmaceutical Industry

The impact of lab automation on the pharmaceutical industry cannot be overstated. It has led to a significant reduction in drug development timelines, allowing for faster delivery of life-saving medications to patients. Additionally, the increased precision and efficiency have improved the overall quality of drug candidates, resulting in a higher success rate in clinical trials.


Lab automation in drug discovery has revolutionized the pharmaceutical industry, offering speed, precision, cost-efficiency, and scalability that were once unimaginable. As technology continues to advance and new innovations emerge, the Lab Automation in Drug Discovery market is poised for continued growth, promising a brighter future for drug development and healthcare worldwide. Pharmaceutical companies that embrace these technological advancements will likely gain a competitive edge and contribute to the discovery of novel therapies that improve the lives of millions.

List of Companies Covered: 

  • Thermo Fisher Scientific
  • Beckman Coulter
  • Hudson Robotics
  • Becton Dickinson
  • Synchron Lab Automation (MolGen)
  • Agilent Technologies
  • Siemens Healthcare
  • Tecan Group Ltd
  • PerkinElmer
  • Bio-Rad
  • Roche Holding AG
  • Eppendorf AG
  • Shimadzu
  • Aurora Biomed
  • Others

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By Segmentation

By Automated Liquid Handling Systems

  • Robotic Liquid Handlers
  • Automated Pipetting Systems

By Laboratory Information Management Systems (LIMS)

  • Sample Tracking and Management
  • Data Management and Integration

By Compound Management Systems

  • Automated Compound Libraries
  • Sample Storage and Management

By Automated Nucleic Acid Extraction and Purification

  • Robotics for Nucleic Acid Preparation
  • Automated PCR Setup

By Drug Formulation and Dispensing

  • Automated Formulation Systems
  • Automated Dispensing Systems

By Robotics and Automation Platforms

  • Integrated Robotic Platforms
  • Robotic Arms and Workstations

By End-User

  • Pharmaceutical and Biotechnology Companies
  • Contract Research Organizations (CROs)
  • Academic and Research Institutions

By Data Analysis and Visualization

  • Automated Data Analysis Tools
  • Visualization and Reporting Systems

By Integration with Other Technologies

  • Artificial Intelligence (AI) Integration
  • Internet of Things (IoT) Integration

By Region 

  • North America (U.S. and Rest of North America)
  • Europe (U.K., Germany, France, and Rest of Europe)
  • Asia Pacific (Japan, China, India, and Rest of Asia Pacific)
  • Rest of World (Middle East & Africa (MEA), Latin America)





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