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Industrial Machine Vision Market to grow by USD 5.22 Billion from 2024-2028, driven by cost savings via process control and AI’s market impact – Technavio

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NEW YORK, Nov. 27, 2024 /PRNewswire/ — Report with market evolution powered by AI – The global industrial machine vision market size is estimated to grow by USD 5.22 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of 9.45% during the forecast period. Significant cost savings in operation due to process control is driving market growth, with a trend towards rise in demand for industrial IoT. However, technical issues in deploying machine vision cameras poses a challenge.Key market players include Adimec Advanced Image Systems bv, ADLINK Technology Inc., Advantech Co. Ltd., Allied Vision Technologies GmbH, AOS Technologies AG, Basler AG, Baumer Holding AG, Cognex Corp., Datalogic SpA, Edmund Optics Inc., ifm electronic gmbh, iX Cameras Ltd, JAI AS, Keyence Corp., Nippon Electro Sensory Devices Co. Ltd., OMRON Corp., Optronis GmbH, Sony Group Corp., Teledyne Technologies Inc., and Toshiba Corp..

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Industrial Machine Vision Market Scope

Report Coverage

Details

Base year

2023

Historic period

2018 – 2022

Forecast period

2024-2028

Growth momentum & CAGR

Accelerate at a CAGR of 9.45%

Market growth 2024-2028

USD 5219.8 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

8.42

Regional analysis

APAC, North America, Europe, Middle East and Africa, and South America

Performing market contribution

APAC at 36%

Key countries

US, Canada, China, Japan, and Germany

Key companies profiled

Adimec Advanced Image Systems bv, ADLINK Technology Inc., Advantech Co. Ltd., Allied Vision Technologies GmbH, AOS Technologies AG, Basler AG, Baumer Holding AG, Cognex Corp., Datalogic SpA, Edmund Optics Inc., ifm electronic gmbh, iX Cameras Ltd, JAI AS, Keyence Corp., Nippon Electro Sensory Devices Co. Ltd., OMRON Corp., Optronis GmbH, Sony Group Corp., Teledyne Technologies Inc., and Toshiba Corp.

Market Driver

The Industrial Machine Vision market is thriving due to the increasing trend towards automation and productivity in various industries. Machine Vision technology is essential for automating quality inspection, measurement, and control processes, reducing labor costs, and improving product quality. Smart Factories are integrating AI vision processors, robotics, and IoT to create collaborative work environments. The Automotive sector is a major adopter, using vision-guided robots for object detection, defect detection, and robot guidance. However, challenges such as cyber-attacks, integration, and training persist. Embedded Vision applications in sectors like Pharmaceuticals, Consumer Electronics, and Agriculture are growing, with high processing power, multi-camera support, and deep learning capabilities. Machine Vision solutions include PC-based and smart camera-based systems, hardware, software, and services, catering to various industrial verticals. 

The Industrial Internet of Things (IIoT) is revolutionizing the industrial machine vision market by enabling wireless integration with machine vision systems. This innovation reduces wiring costs through the use of acoustic sensors and wireless mesh networks, all connected to a software system. In the realm of Industry 4.0, an automated industrial setup is developed, which creates a connected ecosystem of devices, machines, and systems. This ecosystem facilitates communication and information exchange, resulting in smart factories with cyber-physical production systems (CPPS) consisting of interconnected machines, logistics systems, and production facilities, all utilizing ICT technologies. 

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 Market Challenges

The Industrial Machine Vision market is thriving as automation and productivity become top priorities for businesses. Machine Vision technology is revolutionizing industries like Automotive, Pharmaceutical, and Consumer Electronics by automating quality inspection and process control. However, challenges persist, such as labor costs, integration with smart factories, and cybersecurity concerns. AI Vision Processors, Robotics, and Vision-Guided Robots are driving advancements in quality control, object detection, and defect detection. The market includes various components like PC-based and smart camera-based systems, frame grabbers, LED lighting, and optics. Challenges include safety standards, real-time decision-making, and training. The market offers plug-and-play solutions, software components, and deep learning capabilities to address these challenges. Applications range from counterfeit product detection to traffic monitoring and dimensional gauging. The future of Machine Vision lies in collaboration with robotics, IoT, and autonomous vehicles.Industrial machine vision cameras integrated into industrial robots require both software and hardware to function efficiently. Image clarity is crucial for accurate analysis, and low-resolution cameras may compromise this. External factors like light sources or windows can also impact image quality. The software must analyze images effectively to extract valuable data. However, bugs and software errors can hinder this process. Ensuring clear images and eliminating software issues are essential for the successful implementation of vision-controlled industrial robots.

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Segment Overview 

This industrial machine vision market report extensively covers market segmentation by

Product Type1.1 PC-based1.2 Smart cameraComponent 2.1 Hardware2.2 SoftwareGeography 3.1 APAC3.2 North America3.3 Europe3.4 Middle East and Africa3.5 South America

1.1 PC-based- PC-based industrial machine vision systems consist of an industrial computer that manages and communicates with peripheral devices such as lights and cameras. The computer processes inputs from cameras and analyzes information using machine vision software, making decisions that are then communicated to the devices. These systems offer high processing power, flexibility, and the ability to handle multiple cameras or dedicated FPGA processors. The automotive and electronics industries are major adopters of PC-based industrial machine vision systems. In automobile production, these systems are used for structure surveillance, product and quality inspection, and tracking faults or damages. In the electronics industry, PC-based machine vision is essential for functions like solder paste inspection, component placement, and post-reflow inspection. The increasing demand for active safety systems in vehicles and advanced manufacturing processes in electronics is driving the growth of the PC-based industrial machine vision market. Overall, the flexibility and versatility of PC-based systems make them an ideal choice for various applications, contributing to the market’s expansion during the forecast period.

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Research Analysis

Industrial Machine Vision refers to the use of advanced image processing technology in manufacturing environments to automate inspection, measurement, and quality control processes. This technology enhances productivity, reduces labor costs, and improves product quality by minimizing errors in manual processes. Smart factories are increasingly adopting Machine Vision to enable real-time decision-making, ensuring adherence to safety standards, and enhancing the capabilities of robotics in automotive sector applications. Vision-guided robots and AI vision processors are key components of this technology, enabling automated quality inspection and process control solutions. However, challenges such as cyber-attacks and integration issues persist, requiring continuous innovation in Machine Vision Market offerings. Pharmaceutical and chemical industries are significant industrial verticals leveraging Machine Vision for product inspection and ensuring regulatory compliance.

Market Research Overview

Industrial Machine Vision is a critical component of automation and productivity in modern manufacturing, enabling real-time inspection, measurements, and quality control in various industries. Machine Vision systems are essential for smart factories, utilizing AI vision processors, robotics, and IoT to streamline production processes, reduce labor costs, and ensure product quality. These systems can detect objects, defects, and perform dimensional gauging in real-time, integrating seamlessly with collaborative robotics and plug-and-play solutions. The Machine Vision Market encompasses various sectors, including automotive, consumer electronics, pharmaceuticals, and agriculture, among others. Applications range from automated quality inspection and process control solutions to safety and security systems, such as camera surveillance and traffic monitoring. Machine Vision systems offer high processing power, multi-camera support, and deep learning capabilities, enabling real-time decision-making and improving operational efficiency. However, challenges include integration issues, cyber-attacks, and training requirements. Key components of Machine Vision systems include cameras, sensors, processors, frame grabbers, LED lighting, optics, barcode reading technology, and deep learning software. These systems are essential for industries seeking to maintain quality standards, ensure regulatory compliance, and optimize production processes.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

Product TypePC-basedSmart CameraComponentHardwareSoftwareGeographyAPACNorth AmericaEuropeMiddle East And AfricaSouth America

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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commercetools Named a Leader in 2026 Gartner® Magic Quadrant™ for Digital Commerce as AI Reshapes the Market

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commercetools is a Leader in the 2026 Gartner® Magic Quadrant™ for Digital Commerce for the seventh consecutive year.commercetools has been driving AI innovation on how enterprises build, operate and sell, including capabilities like Sphere, Commerce MCP and commercetools for Builders.commercetools is helping global enterprises modernize complex commerce operations and prepare for a future where both people and AI agents discover, shop and transact.

BOSTON, Oct. 22, 2026 /PRNewswire/ — commercetools, the digital commerce AI company, today announced it has been positioned as a Leader in the 2026 Gartner® Magic Quadrant™ for Digital Commerce. This marks the seventh consecutive year commercetools has been recognized as a Leader in the report.

As AI reshapes commerce, commercetools is expanding how it supports the enterprises who build and operate commerce experiences, and the shoppers who use them. Global enterprises including JD Sports, Nederlandse Spoorwegen, Chemist Warehouse and Mirion Technologies are using commercetools to modernize complex digital commerce, accelerate growth and adopt new AI-powered ways of operating and selling.

“Commerce is moving from systems that simply respond to human instructions toward systems that can increasingly understand, decide and act,” said Doug McNary, Chief Executive Officer at commercetools. “We’re proud to be named a Leader for the seventh consecutive year. Enterprises shouldn’t have to choose between the flexibility they need today and the autonomy they’ll need tomorrow. Our focus is giving them the technology to support both.”

Over the past year, commercetools has introduced new products and capabilities designed to bring AI across the commerce lifecycle:

Sphere: Brings together commercetools’ AI-native infrastructure and agent governance through Commerce MCP into a unified platform for enterprises to build, operate and sell with AI.commercetools for Builders: Helps anyone build, extend and evolve enterprise commerce faster with AI.AgentSphere: Lets enterprises build and manage AI agents to run commerce operations and agentic shopping, with appropriate guardrails to do so safely and at scale.Modular commerce offerings: Gives enterprises the flexibility to start with the capabilities they need and expand over time, accelerating time to value without requiring a full commerce transformation upfront.Commerce Integration Layer: Centralizes integration logic behind customer-facing experiences. Storefronts, mobile apps and AI agents connect through a unified layer hosted and maintained by commercetools.Smart Data Modeler: Uses AI to accelerate product data modeling, helping teams build the right foundation faster and reduce time-to-launch.

commercetools’ customers include large enterprises across retail, manufacturing, life sciences, healthcare and telecommunications in markets around the world.

To learn more about commercetools’ position as a Leader, download your complimentary copy of the 2026 Gartner Magic Quadrant report today.

About the Gartner Magic Quadrant for Digital Commerce

Gartner, Magic Quadrant for Digital Commerce Platforms, Aditya Vasudevan, Penny Gillespie, Sandy Shen, Jason Daigler, Mike Lowndes, 19 October 2026

Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

About commercetools

commercetools, the global digital commerce AI company, helps enterprises transform commerce for the AI era. Built API-native from the start and AI-first by design, our technology enables agentic shopping experiences, automates commerce operations and gives businesses the agility to modernize faster, innovate continuously and operate more intelligently.

More than 500 global brands, retailers and enterprise companies rely on commercetools to power their digital commerce. Together, they process more than $100 billion in annualized GMV, over 700 million orders and more than one billion customer records on our platform.

Media Contact: comms@commercetools.com 

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Phylo’s Biomni Lab to expand the use of AI agents in scientific research at Bayer

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SOUTH SAN FRANCISCO, Calif., Oct. 22, 2026 /PRNewswire/ — Phylo, Inc. announced today a partnership with Bayer to deploy Biomni Lab, Phylo’s agentic AI platform to accelerate scientific research and evaluation. 

Under the agreement, Phylo will provide Bayer with full access to its agentic platform that helps Bayer scientists bring together scientific literature, biomedical data, and analytical methods in one environment, reducing the manual effort required to assemble and assess evidence. The platform’s inspectable workflows preserve the context behind each result, allowing researchers to review the underlying sources, methods, and execution and apply their own scientific judgment. Bayer scientists will gain access to Biomni Lab for workflows focused on assembling literature and omics evidence for drug discovery.

“This partnership reflects our belief that AI should expand scientific curiosity, not just speed up routine work. Giving our scientists an AI partner that brings rigor to every step lets them explore more ideas, ask bolder questions, and find the insights that move drug discovery forward, ultimately accelerating the pace at which we can bring new medicines to patients,” said Sai Jasti, Senior Vice President, Head of Data Science & Artificial Intelligence, Bayer Pharmaceuticals R&D.

“For agentic AI to matter in research, it has to earn the trust of the scientists doing the work. Bayer’s selection of Biomni Lab is a strong endorsement of the scientific rigor and AI capabilities we’ve built into the platform,” said Kexin Huang, Ph.D., Co-Founder and CEO of Phylo. “Our vision is an AI-native operating system for biopharma, where every scientist can direct a team of AI agents to pursue complex research questions. With Bayer, we aim to show what becomes possible when AI capabilities meet deep scientific expertise: more hypotheses explored, more discoveries made, and new possibilities for medicine.”

About Phylo

Phylo’s mission is to bring the best agentic intelligence to every biomedical scientist. Its enterprise-grade AI platform, Biomni Lab, is the first Integrated Biology Environment—a unified workspace where scientists collaborate with AI agents across literature research, experimental design, biological data analysis, and scientific decision-making.

Biomni Lab is now used by leading global biopharma, including Bayer, Chugai Pharmaceutical and Ono Pharmaceutical. Phylo is based in South San Francisco, backed by Andreessen Horowitz (a16z) and Menlo Ventures.

For more information, visit phylo.bio. To learn more about Biomni Lab, visit biomni.phylo.bio.

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SOURCE Phylo, Inc.

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Sandler Partners Welcomes Bryan Rias as Director, Sales Engineer, West Region

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New Hire Announcement | Independent Technology Distributor Sandler Partners grows its Sales Engineering team, adding Bryan Rias as Director, Sales Engineer, West Region.

REDONDO BEACH, Calif., Oct. 22, 2026 /PRNewswire/ — Sandler Partners, the leading independent Technology Solutions Distributor, announces the addition of Bryan Rias as Director, Sales Engineer, West Region, further strengthening its dedicated sales engineering team and the technical support available to Partners in the West Region.

Bryan brings more than two decades of experience designing and delivering complex technology solutions, including enterprise and Cloud architecture roles at Lumen/Savvis and IBM focused on infrastructure modernization and customer success. His expertise spans automation, edge computing, disaster recovery, application performance monitoring (APM), and DevSecOps. In his role, Bryan will support Partners across the West Region, aligning early with them on strategy and leading thoughtful discovery to help them find the right fit for each client.

For Bryan, strong relationships and solid values guide his life and form the foundation of his professional success, a perspective that fits naturally within the Sandler Partners community. When he is not working, Bryan spends time with his family, including his wife, three sons, and a grandson, RVing, boating, and biking, along with pursuing his passion for freediving.

“Bryan brings the kind of hands-on experience our Partners value: he’s been in the room on complex deals and knows how to turn a customer’s needs into the right solution,” says Justin Marano, Chief Revenue Officer, Sandler Partners. “He came to Sandler for the freedom to work across best-of-breed Providers, and our Partners in the West will feel that right away. He’s collaborative, grounded, and focused on helping Partners win. I’m excited to have him on the team.”

“I’m excited to get to work alongside our Partners, helping them navigate complex opportunities and bring clarity to technical decisions,” says Bryan. “For me, it all comes back to relationships. When you build them on trust and shared values, the results follow for our Partners and their clients. That’s something that the Sandler community really embodies, and I look forward to getting to work with our Partners!”

About Sandler Partners
Sandler Partners helps empower its network of leading independent Sales Partners to deliver a comprehensive range of technology solutions to organizations worldwide, including Cybersecurity, Artificial Intelligence (AI), Connectivity, Cloud, Colocation, Mobility, Internet of Things (IoT), and Continuity. Its community-focused approach enables Partners to identify the right solutions for customers quickly and objectively from a diverse portfolio of 220+ Providers. Partner sales agents, VARs, and MSPs gain access to an innovative suite of sales tools within the Sandler Portal—including SCOUT, Solutions Finder, Scout for Solutions, and the Marketing Center—several of which are AI-powered, all backed by a robust support network, dedicated Sales Engineering expertise, and rich marketing resources. Together, these tools and resources empower Partners to focus on what they do best: delivering quality, value, performance, innovative solutions, unmatched expertise, and exceptional service to their clients. Members of the Sandler Partners community also benefit from the industry’s strongest negotiated agreements and a dedicated team committed to ensuring commissions are accurately identified, tracked, and paid. For more information, visit www.sandlerpartners.com.

Sandler Partners – Media Contact
Tina S. Dyksterhouse
tina@sandlerpartners.com
310-861-2295

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SOURCE Sandler Partners

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