The Edge AI Software Market is projected to grow from $1.95 billion in 2024 to $8.91 billion by 2030, at a compound annual growth rate of 28.8%, according to a report. Growth is driven by the increasing deployment of IoT devices and demand for real-time data processing in applications such as autonomous vehicles, predictive maintenance, and smart city infrastructure. Edge AI enables on-device analysis, reducing latency, preserving bandwidth, and enhancing data security, particularly in sectors like healthcare, retail, and finance. The emergence of lightweight machine learning models and dedicated hardware accelerators such as NVIDIA Jetson and Google Coral is supporting adoption across industries. The IT and telecommunications segment led vertical-wise demand in 2023, while video and image recognition dominated in terms of data type.
Regionally, North America accounted for over 30% of the market in 2023 due to the increased deployment of smart devices and AI models capable of running efficiently on constrained hardware. Meanwhile, the Asia-Pacific region is expected to experience strong growth fueled by investments in smart city projects across countries like India, China, and Singapore. The market is segmented by offerings (solutions and services), with solutions comprising over 76% of the revenue share. The shift toward decentralized processing is reshaping how data is managed and used at scale.
