Basler, Cognex, and FLIR Systems Take Top Spots in ABI Research's Industrial Machine Vision Camera Vendor Competitive Assessment
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A longtime staple of the manufacturing sector, machine vision is the foundation that underpins many emerging technologies, such as robotics, Artificial Intelligence (AI), and smart glasses, and is estimated to reach a near 100 million installed base in 2025. In the early days, industrial machine vision relied on rule-based programming that involved a lot of human expertise. Recently, the emergence of Deep Learning (DL) technology has propelled the automation of such processes. DL models manage to pick up trends and abnormalities in large image and video sets, under a low level of human involvement. "The machine vision landscape has gone through multiple iterations, and the top three players have demonstrated their strength in keeping up with the technology evolution," said Lian Jye Su, a Principal Analyst at ABI Research. "Basler and Cognex have managed to offer end-to-end machine vision capabilities to their clients through the acquisition of key companies such as mycable and Silicon Software by Basler and ViDi Systems and SUALABS by Cognex. FLIR Systems, on the other hand, develops a family of user-friendly and powerful DL-based hardware and software, which allows for more flexible and customizable implementation depending on user needs."
Following the top three players are various niche players including IDS Imaging, Teledyne DALSA, KEYENCE, OMRON, SICK, and Laon People. IDS Imaging and Teledyne DALSA, for example, have managed to release DL-based machine vision solutions. KEYENCE, OMRON, and SICK have ventured into embedded camera market via partnerships with collaborative and autonomous mobile robotics companies. Targeting growing niche markets such as robotics and autonomous vehicles will generate new revenue growth beyond traditional machine vision markets like electronics and automotive manufacturing.
Another interesting development is the rise of independent machine vision cameras with built-in edge artificial intelligence (AI) processors. The conventional machine vision system has a more centralized processing architecture based on industrial PC. "However, as the use cases for machine vision expand into mobile devices and surveillance systems, a new generation of machine vision systems are designed to work as a standalone system, supported by onboard storage for AI-based machine vision models. This has led to the emergence of an AI solution that can auto-generate images and perform self-learning, without the need of large amounts of user data, as in the case of startup Laon People," concluded Su.
These findings are from ABI Research's Industrial Machine Vision Camera Vendor competitive assessment. This report is part of the company's Industrial Solution research service, which includes research, data, and analyst insights. Competitive Assessment reports offer comprehensive analysis of implementation strategies and innovation, coupled with market share analysis, to offer unparalleled insight into a company's performance and standing in comparison to its competitors.
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ABI Research provides strategic guidance to visionaries, delivering actionable intelligence on the transformative technologies that are dramatically reshaping industries, economies, and workforces across the world. ABI Research's global team of analysts publish groundbreaking studies often years ahead of other technology advisory firms, empowering our clients to stay ahead of their markets and their competitors.
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