ZEDEDA announced significant growth and expansion in the first half of 2025, accelerated by the global adoption of Edge computing, as well as the expansion of its executive leadership team, securing of major enterprise deployments, new Middle East headquarters, and industry research reflecting Edge AI’s rapid evolution.
“What we’re seeing across our customer base reflects a fundamental shift in how enterprises approach Edge computing,” said Said Ouissal, CEO and Founder, ZEDEDA. “From securing our largest maritime deployment with Maersk to expanding into the fast-growing Middle East market with world-class investor backing, we’re demonstrating that Edge computing has moved from experimental to mission-critical for global enterprises.”
Executive leadership appointments
Kevin McGee joins as Chief Revenue Officer where he will be responsible for all revenue operations, bringing expertise from roles at Confluent, AWS, Okta, and Oracle.
“I’m excited to join ZEDEDA at such a pivotal moment in the Edge computing market,” said McGee. “The company’s technology leadership, combined with the caliber of enterprise-level customers and the global expansion into high-growth markets, creates an incredible opportunity to help organisations unlock the full potential of Edge computing. I look forward to working with our team to accelerate this momentum.”
John Jendricks joins as SVP and Chief Operations Officer, bringing operational expertise from leadership roles at Aviatrix, VMware and Cisco.
“ZEDEDA has built the foundation for the future of Edge computing with a platform that brings Cloud-native capabilities to distributed environments,” said Jendricks. “I’m excited to help scale the business operations and go-to-market engine as we capitalise on the massive opportunity ahead of us.”
Finally, Padraig Stapleton was promoted to SVP and Chief Product Officer to drive strategic product direction and customer engagement.
“The convergence of AI and Edge computing is creating unprecedented opportunities for businesses to process data closer to where it’s generated,” said Stapleton. “Our focus is on making Edge AI deployment as simple and secure as possible, enabling customers to realise value from their edge infrastructure investments quickly.”
Major enterprise deployments
ZEDEDA’s enterprise momentum is demonstrated by major deployments with two large companies: A.P. Moller – Maersk and SLB, showing the platform’s ability to deliver mission-critical Edge computing infrastructure across the globe.
A.P. Moller – Maersk selected ZEDEDA as a key technology provider for its next-generation IoT connectivity platform across its 450-vessel fleet. ZEDEDA’s platform allows Maersk to address the inherent challenges of maritime environments, such as managing applications in remote locations with intermittent connectivity and few onboard skilled IT personnel, and showcases ZEDEDA’s capability to provide critical Edge computing infrastructure for mission-critical operations in the world’s most demanding environments.
ZEDEDA also announced a strategic collaboration with SLB, to integrate ZEDEDA’s solution into SLB’s Agora Edge AI and IoT solutions. This partnership empowers SLB customers to bring computing power closer to where data is generated, unlocking immediate insights across drilling operations, wireline and mobile data analysis while optimising operations, enhancing safety and accelerating decision-making in remote environments.
Industry research
ZEDEDA’s publication of its inaugural Edge AI survey revealed that 97% of CIOs have Edge AI either deployed or on their roadmaps.
Other key findings showed:
- Security as dual driver: 53% of organisations cite improving security as their primary Edge AI motivation, while 42% cite security risks as the top implementation challenge
- Multimodal AI growth: organisations are increasingly deploying sophisticated AI models that combine speech, text and vision processing at the Edge
- Hybrid Cloud strategy: enterprises are adopting Edge AI to complement rather than replace Cloud AI strategies, creating distributed intelligence architectures
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