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Industrial AI’s Inflection Point: How HiveMQ and Barry Libert Are Building the Infrastructure for a $150 Billion Opportunity
Published by Wanda Rich
Posted on October 28, 2025
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WhenHiveMQ appointed Barry Libert as Chairman and CEO, it marked the start of a new chapter for one of the industrial world’s most trusted technology companies. HiveMQ, relied upon by BMW, Eli Lilly, and other leading manufacturers, energy providers, and data centers, is evolving from an Internet-of-Things (IoT) data streaming company into the foundation of the next generation of industrial intelligence.
The company’s new strategy positions HiveMQ as the central nervous system for the Industrial AI era. By embedding intelligence directly into its real-time data streams, HiveMQ will help customers move from AI pilots to full production, creating measurable business results.
From Reliable Streaming to Intelligent Operations
HiveMQ’s architecture, built on the lightweight MQTT protocol, already connects millions of devices across global operations. Now, the company is expanding from moving data to enabling autonomous action. Its Industrial AI Platform, powered by the new HiveMQ Pulse engine, will validate and structure data to make it “AI-ready” and capable of supporting real-time, automated decisions.
“Industrial leaders don’t need more AI hype; they need measurable results,” said Libert. “HiveMQ helps them move from data to decisions, embedding intelligence where work actually happens so they can compete in the AI era.”
A Market Ready for Scale
The market potential is enormous. According to Grand View Research, the industrial AI market was valued at 43.6 billion dollars in 2024 and is projected to grow at 23 percent annually, reaching 154 billion dollars by 2030. Globally, AI investment is expected to top 650 billion dollars in 2025 and is expanding at 75 percent each year.
This demand reflects a global shift from legacy industrial systems toward AI-enabled operations that cut downtime, reduce energy waste, and increase output quality. HiveMQ’s open and interoperable platform, which integrates with any cloud or data ecosystem, gives it a critical advantage in this fast-scaling sector.
A Leadership Team Built for Growth
Libert, a serial entrepreneur and investor, has spent his career helping companies harness data, platforms, and AI to scale value creation. As former CEO and Executive Chairman of Anaconda, he guided the company to 150 million dollars in annual recurring revenue, a 1.5 billion dollar valuation, and profitability.
He is joined by a leadership team designed for expansion. Mike Weinert joins as Chief Revenue Officer and Tim Hall as Chief Product Officer, alongside Mirko Deneke (CFO), Mark Herring (CMO), Rachel Haines (Chief People Officer), and Siim Viidu (Chief Engineering Officer). Each executive brings deep experience in industrial technology, SaaS, and AI-driven business models.
Making AI Hands-On
One of Libert’s early priorities is to make HiveMQ’s AI capabilities more interactive. The company is developing new simulation tools and sandbox environments that allow engineers, analysts, and even non-technical users to experiment with real data streams in a live environment.
“The best way to understand AI is to experience it,” said Libert. “We want our customers to test, visualize, and explore industrial intelligence without friction.”
HiveMQ will introduce these tools through HiveMQ Pulse, giving users the ability to see how data translates into intelligent decisions before rolling out at scale. By removing complexity, the company hopes to speed up adoption across industries that have struggled to move beyond pilot projects.
Why Investors Are Paying Attention
For institutional investors and enterprise boards, HiveMQ’s direction resembles what Amazon Web Services did for the cloud. It provides the unseen infrastructure that lets global industries modernize operations and unlock AI-powered efficiency. As industrial AI becomes a 150-billion-dollar market, HiveMQ is emerging as a company to watch and is quietly powering the systems that keep economies running.
“HiveMQ sits at the intersection of my career’s focus: AI-native platforms, collaborative networks, and data moats that drive exponential value,” Libert said.