Why Is Honeywell Focusing on AI Technologies?

Artificial intelligence has become the central growth story across industrial technology. Companies that once sold sensors, controllers, and automation software are increasingly positioning themselves as providers of Industrial AI, helping factories, refineries, semiconductor plants, hospitals, and data centers operate more efficiently.

Honeywell, the American manufacturing conglomerate, is making that transition while simultaneously dismantling one of the largest industrial conglomerates in the United States.

On June 29, 2026, the company will spin off its aerospace business into a new company, Honeywell Aerospace, under the ticker HONA. The remaining automation-focused business will be under Honeywell Technologies. 

The Market Honeywell Is Chasing

Honeywell's investment is shaped by the significance of the industrial AI market. The sector was valued at roughly $37 billion in 2025 and is projected to reach approximately $200 billion by 2035, more than five times its current size.

Facilities that have adopted AI-led maintenance have reported reducing unplanned downtime by up to 75%. For operators of refineries, semiconductor plants, and data centers, it is a revenue story.

The timing is significant as Honeywell is positioning its future around industrial AI and software-driven automation, arguing that a focused automation company can move more effectively in a market increasingly defined by data, connectivity, and autonomous decision-making.

From Automation to Autonomy

At the center of Honeywell Technologies is a strategy built around moving industrial operations beyond traditional automation.

"The power of AI is going to redefine automation," Chief Executive Officer Vimal Kapur said in a June 2026 interview on CNBC. The concept involves using AI to assist operators, improve decision-making, and capture expertise that has historically existed only in the knowledge of experienced workers. Augmenting human expertise, rather than replacing it.

The foundation for that strategy is Honeywell Forge, the company's industrial software platform. Forge connects to equipment across industrial facilities, including third-party systems, and analyzes operational data to improve asset performance, reduce downtime, strengthen cybersecurity, and increase energy efficiency.

Industrial facilities have always generated enormous amounts of operational data, but much of it has historically been trapped inside individual systems, never reaching the people who could act on it. 

According to Honeywell, one example of that shift is already evident in semiconductor manufacturing, where thousands of gas-detection sensors continuously monitor for hazardous conditions. “With AI, we can analyze that sensor data continuously, helping operators identify abnormal conditions earlier and prioritize actions before a small issue becomes a costly disruption,” the company spokesperson said, in an email response to AIM. 

A meaningful advantage in an industry where unplanned downtime can run into millions of dollars per hour 

A Competitive Market

Honeywell Technologies will enter a market that already includes several established automation-focused competitors.

Rockwell Automation has operated as a pure-play industrial automation company throughout its history. Siemens has expanded its Xcelerator platform into a broad industrial digitalization ecosystem, while Emerson continues to invest in its DeltaV and Plantweb automation platforms.

The competitive advantage for Honeywell lies in its extensive installed base of industrial equipment already operating across factories, commercial buildings, semiconductor facilities, and critical infrastructure. 

Instead of building new customer relationships from scratch, the company can layer AI-driven software and analytics onto existing systems. "Physical AI for us is built on our domain knowledge," Kapur said. "It's built upon the data which we possess in our system."

Years of acquisitions, including the nearly $5 billion purchase of Carrier Global's Access Solutions business, have also strengthened its software portfolio and expanded its connected-building capabilities, areas that increasingly complement its AI strategy.

Whether the installed base translates into long-term leadership remains uncertain, as competitors continue investing heavily in digital platforms and industrial AI capabilities.

Why Honeywell Decided to Split

The strategic rationale for the separation extends beyond AI.

"When I started as a CEO, my incoming thesis was that we have to simplify this company," Kapur said in a May 2026 Bloomberg interview. "It's performed extremely well, great return to shareholders, great service to our customers, but what will we do for the next 25 to 30 years?" 

Kapur has spent nearly four decades at Honeywell, leading businesses across process automation, building technologies, and performance materials before becoming chief executive officer in 2023.

The review gained additional momentum after activist investor Elliott Management disclosed a stake worth more than $5 billion in November 2024 and publicly advocated for a breakup. 

"We are taking the opportunity to build a pure play automation company across multiple sectors, and the opportunity is more compelling now, with AI coming in," Kapur said.

Honeywell Aerospace will emerge as a standalone company with more than $17 billion in annual revenue, led by Jim Currier and headquartered in Phoenix. 

Honeywell Technologies will begin life with projected 2026 sales between $19.9 billion and $20.2 billion. 

Whether the Bet Pays Off

The risks remain substantial. Honeywell must integrate billions of dollars in acquisitions while completing a three-way corporate separation. Industrial spending cycles remain closely tied to broader economic conditions, and weakness in manufacturing, construction, or energy markets could affect demand.

Analysts have also highlighted execution risk and debt allocation as areas investors will continue to monitor after the separation.

The broader question is whether AI fundamentally changes the economics of Honeywell's automation business or simply strengthens the strategic case for a more focused company. 

Kapur has argued the former. "Our customers are looking at it not as a productivity opportunity," he said. "They are looking at it as a revenue-generation opportunity."

Honeywell claims that the argument has tangible support. “Honeywell Technologies Forge, our AI-enabled platform for industrial operations, helps customers improve uptime, optimize performance and make better use of existing assets,” the company said. 

Working with data center operator Equinix, Honeywell says it helped to streamline facility commissioning and cut the time needed to bring new capacity online by roughly one-third, compressing the gap between capital investment and the moment a data center begins generating revenue.

Honeywell Technologies will begin life with an established customer base, significant industrial data assets, and a clear AI narrative. The next challenge is proving that those advantages can translate into sustainable growth in an increasingly competitive industrial software market.

The division could ultimately become a defining story of AI transformation or simply the final chapter in the dismantling of a century-old conglomerate.

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