PUBLISHER: Grand View Research | PRODUCT CODE: 1941832
PUBLISHER: Grand View Research | PRODUCT CODE: 1941832
The global edge AI market is anticipated to grow from USD 24.91 billion in 2025 and is projected to reach USD 118.69 billion by 2033, growing at a CAGR of 21.7% from 2026 to 2033. The market is experiencing significant growth driven by the rapid expansion of IoT and connected devices, increasing demand for real-time and low-latency data processing, growing adoption of AI-enabled automation across industries, and rising focus on data privacy and localized intelligence at the network edge.
The rising demand for distributed computing resources that support real-time data processing and storage at the network edge is a key driver of market growth.
Enterprises are increasingly adopting edge cloud infrastructure to enable low-latency connectivity and improve operational efficiency across digital operations. The rapid expansion of smart cities and IoT ecosystems is further accelerating the need for scalable and resilient edge cloud solutions to manage large volumes of data generated by devices.
By processing data closer to the source, organizations can achieve faster response times while reducing bandwidth and centralized cloud costs. This shift positions edge cloud infrastructure as a critical enabler of enhanced performance, scalability, and improved user experiences across multiple applications.
The growing adoption of AI technologies across enterprises is driving increased demand for consulting, training, and support services to enable effective digital transformation. Organizations are seeking expert guidance to define AI implementation strategies, manage complexity, and adopt best practices that align with their operational objectives. At the same time, training and continuous support services are becoming critical as companies invest in upskilling their workforce to leverage AI-driven solutions fully. As AI adoption expands across industries such as manufacturing, healthcare, and automation, the need for ongoing optimization and lifecycle support is expected to rise. By delivering industry-specific, tailored service offerings, providers play a crucial role in ensuring the successful deployment of edge AI and long-term value creation.
Global Edge AI Market Report Segmentation
This report forecasts revenue growth on global, regional, and country levels and provides an analysis of the industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global edge artificial intelligence market report based on the component, end-use industry, and region: