
Ceva has seen its revenues increase 10% to $106.9m as part of its recovery to a pure IP company. This was reflected in the royalty revenue of $46.9 million, up 18% year-over-year
“2024 was a pivotal year for Ceva. We successfully concluded long-term licensing partnerships with key customers in our core markets and expanded our customer base and total available market with new engagements. Our market leadership is also evident in our royalty business, where our customers shipped a record 2 billion Ceva-powered smart devices in 2024,” said Amir Panush, CEO of Ceva.
The company signed major licensing deals in Q4 with a WiFi architecture license with global microcontroller supplier and a cellular DSP license with US mobile OEM for in-house 5G modem. It signed a cellular IP deal with STMicroelectronics for NB-IoT industrial modules.
Edge AI and sensing was a growing area on the back of the wireless connectivity IP, with 43 license agreements signed, 12 of which licensed multiple technologies. Nine of the deals were first-time customers and 11 were with OEMs.
“The continued strength of our licensing business is highlighted by two strategic customer agreements signed in the quarter, which reinforce our long-term relationships with these key customers and hold the potential to drive meaningful long-term royalty streams in the years to come,” he said.
Panush took over in XX and moved the company away from chip design and back to a focus on IP. The $7.5m loss for the year was the result of $11m from those discontinued operations.
“Overall, our diverse customer base, spanning multiple industries and end markets, creates a powerful foundation for driving licensing growth and generating strong, long-term royalty revenues, further enhanced by the expanding role of AI across industries and everyday life.”
Of the 2 billion smart edge devices shipped, 1.1 billion were Bluetooth devices, 179 million Wi-Fi devices, 170 million Cellular IoT devices, 340 million smartphones and 170 million other smart edge devices powered by Ceva DSPs, AI accelerators and sensor fusion software.
