The Japanese factory automation company Omron has made a strategic acquisition by purchasing OnLogic, a manufacturer of industrial computers in the US, and its parent company Interlogic for $
The Japanese factory automation company Omron has made a strategic acquisition by purchasing OnLogic, a manufacturer of industrial computers in the US, and its parent company Interlogic for $675 million.
The transaction will help expand the company’s stake in physical AI characterized by machines taking real-time decisions right on the factory floor. The announcement of the acquisition was made by Omron on October 12 and the closing of the transaction is expected to take place by January 2027.
Omron (TYO: 6645) signed the agreement on October 10, Japan time. The $675 million valuation assumes no debt or cash, equivalent to roughly ¥104.6 billion.
The cash-funded transaction uses a reverse triangular merger, making Interlogic a wholly owned subsidiary. It also consolidates the founders’ and 167 employee shareholders’ interests.
OnLogic will retain its brand, management and CEO Sean Larkin. Houlihan Lokey advises Omron, while Evercore advises OnLogic.
Omron expects minimal earnings impact for the fiscal year ending March 2027. Its shares were nearly flat despite a 2.2% Nikkei decline, Reuters reported.
OnLogic, established in 2003, specializes in developing industrial computers that can be customized to meet specific needs. The company employs 301 people and has its operations across seven locations that include two manufacturing sites. In 2025, OnLogic managed to realize $154.2 million in sales, which resulted in an EBITDA of $22.6 million in the same year.
Omron wants to pair these computers with its sensors, robots and control systems, allowing AI to process information right where the machines operate.
For factories, that could mean spotting defects sooner, catching equipment problems before they cause breakdowns and helping robots respond faster. With less need to send data back and forth to the cloud, production lines could run more smoothly.
The acquisition builds on existing work. In July, Omron integrated Nvidia Omniverse and Metropolis with its VT-X inspection technology for circuit-board analysis.
Nvidia is not involved in the acquisition.
Omron Robotics was also in collaboration with Italy’s Comau in May. On the other hand, Japanese companies such as FANUC and Kawasaki are investigating Nvidia-enabled physical AI.
Omron’s thinking is somewhat different as it has the goal of owning the industrial computing hardware.
According to Juniper Research forecasts, spending on physical AI software is estimated to jump up 575% from a sum of $1.3 billion in 2026, to a sum of $8.9 billion in the year 2030. The number of deployments would reach a total of 400,000.
ABI Research, on its part, says that the revenues from edge AI chipsets will grow from $34.4 billion in 2026 to $96 billion in 2031. These forecasts measure different markets.
Nevertheless, the adoption of the technology is still difficult. A survey conducted by TCS shows that 68% of manufacturers out of 300 still remain either on the experimental stage or have not implemented the technology at all.
Physical AI Market Forecasts 2026–2031: Juniper, ABI Research and TCS Data
Roland Berger estimates physical AI could improve operating margins by 0.5–3 percentage points. Labor shortages add urgency, with skilled industrial workforces projected to shrink 16% in Germany and 24% in China by 2050.
Roland Berger principal Jonas Zinn cautioned:
“Physical AI turns data into action. The challenge is connecting the right use cases and operating model.”
For Omron, the challenge is turning promising technology into reliable, profitable factory deployments.
Omron agreed to acquire US industrial-PC maker OnLogic and its parent Interlogic for $675 million, aiming to combine OnLogic’s rugged edge computers with its own sensors and controls to build AI that runs on the factory floor. The deal, expected to close around January 2027, matters to chipmakers, industrial suppliers and manufacturers because it signals real money shifting from cloud AI toward edge systems, even as surveys show most manufacturers are still stuck in pilots.
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