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.
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.”
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.
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.
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.
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.
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines programmed to think and learn. It encompasses various technologies including machine learning, natural language processing, and robotics.
The Internet of Things (IoT) is a network of interconnected devices that communicate and exchange data over the internet. These devices can range from everyday household items to sophisticated industrial tools.
A data stream is a continuous flow of data generated by various sources, such as sensors or applications, that can be processed in real-time. It is essential for applications requiring immediate data analysis.
A leadership team is a group of individuals within an organization responsible for making strategic decisions and guiding the company's direction. They typically include executives such as CEOs, CFOs, and other key leaders.
Market potential refers to the estimated maximum sales or revenue that a product or service can achieve within a specific market. It helps businesses assess opportunities for growth and investment.
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