Computer Vision for Drug Manufacturing Market Expands in 2025 Backed by Pharma 4.0 and Government-Led AI Initiatives

July 8, 2025 |

1 min read

The computer vision for drug manufacturing market size is rapidly developing on a global scale, with expectations of accumulating hundreds of millions in revenue between 2025 and 2034. Market forecasts suggest robust development fueled by increased investments, innovation, and growing demand across various industries.

The market is driven by enhancing the drug discovery process, advancements in production facilities, adoption of AI and deep learning algorithms to accelerate automation in numerous pharmaceutical companies. Along with this, rising investments in technologies from different industries, such as biotechnology and pharmaceutical companies. Besides this, label and packaging inspection, defect detection, vial and ampoule inspection, tablet and capsule inspection and counting, blister pack inspection, and other visual inspections are boosting the market growth.

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Computer Vision for Drug Manufacturing Market Highlights

• North America dominated the market in 2024.

• Asia Pacific is expected to be the fastest-growing region during 2025-2034.

• By technology, the traditional machine vision systems segment held a major revenue share of the market in 2024.

• By technology, the AI-powered vision systems segment is expected to grow at the fastest CAGR in the projected period.

• By application, the capsules and tablets inspection segment led the computer vision for drug manufacturing market in 2024.

• By application, the bottle-packaging inspection segment is expected to grow rapidly in the upcoming years.

• By end user, the pharmaceuticals segment was dominant in the market in 2024.

• By end user, the medical devices segment is expected to expand rapidly during the forecast period.

• By deployment mode, the on-premise segment dominated the computer vision for drug manufacturing market in 2024.

• By deployment mode, the cloud-based solutions segment is expected to show the fastest growth in the upcoming years.

• By component, the services segment dominated the market in 2024.

• By component, the software segment is expected to be the fastest-growing in the predicted timeframes.

Emergence of Automation and Process Optimization: Major Potential

In the computer vision for drug manufacturing market, acceleration potentials are raised by automation in quality control for defect detection, blister pack inspection, label verification, and real-time inspection. Furthermore, in the drug discovery process, computer vision is used to analyze high-throughput screening images and to predict the 3D structure of proteins, are supports ultimate market growth. Also, computer vision helps in the process optimization with reduced waste and improves resource allocation.

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The Computer Vision for Drug Manufacturing Market: Regional Analysis

Around the world, North America led the market by capturing a major revenue share of the market in 2024. The market is fueled by the use of AI and CADD (Computer-Aided Drug Design), along with the need for cost-effectiveness and timelines, rising investment in healthcare technologies, a focus on personalized medicine, and the growing significance of digital technologies in drug discovery.

The US possesses a major hub for many major pharmaceutical and medical device companies across the world. As well as the US also has a robust R&D infrastructure, well-established regulatory collaborations, and major funding resources are boosting the demand for the growth of the computer vision for drug manufacturing market.

For instance,

• In January 2025, Purdue University collaborated with Lilly and Merck to enhance the speed of pharma manufacturing with the launch of the Young Institute Pharmaceutical Manufacturing Consortium, a collaborative effort to develop advances in making medicines.

Whereas Canada, with immense investments and adoption of technologies in the healthcare system, with a raised focus on the development of novel biotech approaches, is driving the market growth. Canada is putting efforts into the drug delivery within academic institutions, the biotechnology community, and the pharmaceutical industry, contributing to the growth of the market.

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The Asia Pacific is Predicted to Grow Fastest During the Forecast Period

APAC is estimated to experience rapid growth, due to a robust base of the pharmaceutical sector, with its increased investments in research and development to highlight the rising disease burden and develop innovative therapies. As well as ongoing advancements in computational power, algorithms, and data analytics have improved the capabilities of AI and CADD, making them more effective tools for drug discovery in APAC, driving the market.

China is a major region in APAC, due to a strong biotech background, with breakthroughs in technologies used for the development of novel drug candidates are majorly impacting the computer vision for drug manufacturing market growth. Along with this, a rising dataset of biological, chemical, and clinical data is propelling demand for more sophisticated analytics tools are assisting the market growth.

Major government investment, collaborations with significant pharmaceutical and biotechnology companies are boosting the adoption of computer vision in drug manufacturing in India. Besides this, India has been widely emerging in the utilization of advanced tools and techniques for potential drug development.

The Computer Vision for Drug Manufacturing Market: Segmentation Analysis

By technology analysis

The traditional machine vision systems segment dominated the market in 2024. As pharmaceutical companies are increasingly adopting automation to enhance efficiency, minimize human error, and accelerate production speed with affordable approaches.

Whereas, the AI-powered vision systems segment is estimated to grow rapidly during 2025-2034. In drug manufacturing, AI-driven tools are used to ensure feasible quality control, enhance manufacturing processes, and optimize the overall efficiency. Furthermore, this segment helps to automate the tasks with increased quality, decreased waste, and enhanced safety.

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By application analysis

The capsules and tablets inspection segment dominated the computer vision for drug manufacturing market in 2024. The segment is driven by the need for precise and effective defect detection in capsules and tablets from many companies at the quality control and quality assurance stage. Major organizations in the manufacturing area are moving towards the use of deep learning and computer vision for inspection and quality assurance processes.

On the other hand, the bottle-packaging inspection segment is anticipated to grow at a rapid CAGR in the upcoming years. Broad application of computer-aided high-resolution imaging, deep learning algorithms, and multi-angle inspection, pharmaceutical plastic bottle inspection provides reliable, rapid, and consistent defect detection in the seal, body, neck, and base of the container.

By end-user analysis

The pharmaceuticals segment led the computer vision for drug manufacturing market in 2024. Across the world, the growing burden of diseases is fueling demand for new, personalized drug molecules. The development of different formulations like capsules, tablets, ampules, and vials is mainly adopting computer vision in quality control stages to achieve more efficiency, safety, speed, and lessen human error and waste as well.

However, the medical devices segment is predicted to grow fastest, due to increased support to develop high standards for inspection and defect detection by AI-driven medical devices and computer vision at the production level of these devices. Enhancing reliability and quality during the manufacturing process is impelling the segment's overall growth.

By deployment mode analysis

The on-premise segment was dominant in the computer vision for drug manufacturing market in 2024. This segment offers more control over the generated data, reduces the risk of breaches and unauthorized access, which is critical for sensitive data in industries.

By deployment mode, the cloud-based solutions segment is estimated to expand rapidly during the forecast period. As this mode enables the need for reduced human error, with enhanced analysis of visual data with increased accuracy, and is mainly applied in healthcare areas where images are used to diagnose diseases.

By component analysis

The services segment held the largest computer vision for drug manufacturing market share in 2024. With intellectual service, automative and repetitive tasks are simplified by supporting the analysis of images and acquiring complete data with a pretrained computer application

The software segment is predicted to expand at the fastest CAGR in the coming years. Software used in drug manufacturing, such as CADD, DOE, and ELN are enables to study of drug design modelling for the efficient candidate development with enhanced accuracy, automation, interpretation, analysis, and meaningful insights to discover the potential molecule.

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Top Companies and Their Contributions to the Market

Company	Contributions & Offerings
NVIDIA	Provides advanced GPUs and AI platforms like Clara for medical imaging and computer vision in pharma R&D.
Microsoft	Azure AI and Azure Machine Learning enable scalable computer vision applications in pharmaceutical automation.
Intel	Offers edge AI hardware and OpenVINO toolkit to optimize vision-based drug inspection and manufacturing.
IBM	Watson Health integrates AI and computer vision to improve drug quality control and clinical trial monitoring.
Google LLC	Google Cloud AI tools support vision models in biomedical image analysis and automated drug discovery.
Basler AG	Supplies industrial cameras and embedded vision systems for automated inspection and packaging in drug plants.
Arterys Inc.	Provides cloud-based medical imaging AI tools, enhancing drug response evaluation through visual diagnostics.
AiCure	Uses facial recognition and CV to monitor medication adherence in clinical trials and patient engagement.
iCAD, Inc.	Develops AI-powered imaging platforms for cancer detection, aiding pharma in oncology drug validation.
SenseTime	Applies deep learning CV models for precision manufacturing and lab automation in drug development.

Computer Vision for Drug Manufacturing Market Companies

• NVIDIA Corporation

• Microsoft

• Intel Corporation

• IBM Corporation

• Google LLC

• Basler AG

• Arterys Inc.

• AiCure

• iCAD, Inc.

• SenseTime

Major Companies Latest Updates

Company	Latest Updates
NVIDIA Corporation (June 2025)	Connected with IQVIA to boost clinical research and commercialization with AI agents
Microsoft Corp. (April 2025)	Allied with SkyCell to launch SkyMind, an artificial intelligence (AI)-powered solution designed to accelerate pharmaceutical supply chains by improving efficiency, compliance, and decision-making
Recursion (October 2024)	Expanded collaboration leveraging Google Cloud's technologies to assist Recursion's drug discovery platform.
iCAD, Inc. (May 2024)	Collaborated with Densitas to expand precision breast health with leading AI solutions for mammography quality, cancer detection, and risk evaluation
Microsoft Corp. (March 2024)	Partnered with NVIDIA to bring the power of generative AI, the cloud, and enhanced computing to healthcare and life sciences organizations.

What is Going Around the Globe?

• In June 2025, XtalPi, a global leader in technology, expanded its research alliance with Pfizer to innovate a next-generation molecular modeling platform for drug discovery.

• In April 2025, Ginkgo Bioworks, a global platform for cell programming and biosecurity, announced a new team with the Advanced Research Projects Agency for Health (ARPA-H) to stabilize pharmaceutical supply chains by using amber waves of grain.

• In March 2025, Boehringer Ingelheim partnered with software firm Veeva Systems to introduce Boehringer’s One Medicine platform to assist the German pharma in streamlining its product development by bringing together clinical, regulatory, and quality data processes.

Computer Vision for Drug Manufacturing Market Segmentation

By Technology

• Traditional Machine Vision Systems

• AI-Powered Vision Systems

• 3D Vision Systems

• Deep Learning-Based Inspection Systems

• Multispectral & Hyperspectral Imaging Systems

By Application

• Capsules & Tablets Inspection

• Bottle-Packaging Inspection

• Blister Pack Inspection

• Ampoule and Vial Inspection

• Syringe and Cartridge Inspection

• Label and Barcode Verification

• Fill Level Detection

• Foreign Particle Detection

• Equipment Condition Monitoring

By End User

• Pharmaceuticals

• Biotechnology

• Medical Devices

• Contract Manufacturing Organizations (CMOs)

• Research Laboratories

By Deployment Mode

• On-Premise

• Cloud-Based Solutions

By Component

• Hardware

• Cameras

• Sensors

• Lighting

• Frame Grabbers

• Software

• Vision Processing

• AI/ML Algorithms

• Services

• Integration

• Maintenance

• Training

By Region

• North America

• U.S.

• Canada

• Asia Pacific

• China

• Japan

• India

• South Korea

• Thailand

• Europe

• Germany

• UK

• France

• Italy

• Spain

• Sweden

• Denmark

Norway

• Latin America

• Brazil

• Mexico

• Argentina

• Middle East and Africa (MEA)

• South Africa

• UAE

• Saudi Arabia

• Kuwait

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