HiveMQ is strategically positioning itself at the forefront of the industrial AI revolution with a significant leadership change. The company has announced the appointment of Barry Libert as its new Chairman and Chief Executive Officer. Libert, a serial entrepreneur with a track record of scaling data and AI companies, is tasked with executing a strategy to evolve HiveMQ from a trusted data backbone into a leading Industrial AI Platform, helping customers translate real-time data into measurable business outcomes.
Quick Intel
HiveMQ appoints Barry Libert, former Anaconda CEO, as its new Chairman and CEO.
The strategic goal is to transform HiveMQ into a leading Industrial AI Platform.
The platform leverages its existing MQTT-based data backbone used by BMW and Eli Lilly.
New CRO and CPO appointments complete a leadership team with deep SaaS and AI expertise.
The focus is on moving customers from AI pilots to full-scale production with trusted data.
The industrial AI market is projected to grow from $43.6B to $154B by 2030.
To accelerate this strategic shift, HiveMQ has fortified its executive team with key hires that bring proven experience in scaling technology companies. Mike Weinert joins as Chief Revenue Officer and Tim Hall as Chief Product Officer. They complete a leadership team alongside existing C-suite members, including the CFO, CMO, and CTO. This collective has been part of multiple unicorn exits and financing rounds, bringing deep expertise in industrial technology, SaaS business models, and AI-driven value creation to the table.
The company's new direction is a direct response to the industrial sector's need for substance over hype. The strategy centers on leveraging HiveMQ's existing platform, built on the MQTT standard, to provide a foundation of trustworthy, validated data that AI models can rely on. The upcoming Industrial AI Platform will embed intelligence and automated actions directly into real-time data streams, enabling customers to achieve tangible production results and a clear return on investment from their AI initiatives.
This strategic pivot aligns with significant growth projections in the industrial AI sector. According to industry analysis, the market reached $43.6 billion in 2024 and is expected to grow at a compound annual growth rate of 23% to $154 billion by 2030. This explosive growth is driven by manufacturers and industrial enterprises moving from limited pilot projects to the full-scale deployment of AI across their production and operational environments, a transition HiveMQ's platform is designed to facilitate.
Under new leadership and with a reinforced executive team, HiveMQ is poised to build upon its strong foundation as a real-time data provider. By focusing on delivering an Industrial AI Platform that turns trusted data into automated intelligence and action, the company aims to become the central nervous system for industrial enterprises seeking to win in the AI-driven future.
HiveMQ is the Industrial AI Platform helping enterprises move from connected devices to intelligent operations. Built on the MQTT standard and a distributed edge-to-cloud architecture, HiveMQ connects and governs industrial data in real time, enabling organizations to act with intelligence. With proven reliability, scalability, and interoperability, HiveMQ provides the foundation industrial companies need to operationalize AI, powering the next generation of intelligent industry. Global leaders including Audi, BMW, Eli Lilly, Liberty Global, Mercedes-Benz, and Siemens trust HiveMQ to run their most mission-critical operations. Learn more at hivemq.com.
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