According to a new report, published by KBV research, The Global AI Edge Computing Market size is expected to reach $64.9 billion by 2031, rising at a market growth of 20.9% CAGR during the forecast period.
The Large Enterprises segment is leading the Global AI Edge Computing Market by Organization Size in 2023; thereby, achieving a market value of $39.2 billion by 2031. Large enterprises frequently have intricate operational requirements and necessitate edge computing solutions that are both scalable and robust in order to effectively manage the immense quantities of data that are generated across multiple locations. Industries such as manufacturing, healthcare, and retail benefit significantly from AI edge computing by enhancing operational efficiency, enabling real-time analytics, and improving decision-making processes.
The services segment is anticipating a CAGR of 29.3% during (2024 - 2031). This growth is attributed to the rising need for professional and managed services that support the deployment, integration, and maintenance of edge computing systems. Organizations increasingly rely on expert service providers to ensure seamless implementation and operation of complex edge infrastructures. These services include consulting, system integration, training, and support, all of which are vital for maximizing the performance and reliability of edge computing solutions.
The IIoT segment dominated the Global AI Edge Computing Market by Application in 2023; thereby, achieving a market value of $18.3 billion by 2031. Edge computing's widespread adoption in industrial settings to optimize production processes, facilitate predictive maintenance, and improve operational efficiency has contributed to this growth. Edge computing enables faster decision-making, reduces latency, and brings computational capacity closer to the data source, thereby facilitating these processes. Industries such as manufacturing, energy, and transportation benefit greatly from these capabilities, driving the growth of the IIoT segment.
The Healthcare segment is registering a CAGR of 20.3% during (2024 - 2031). Healthcare applications benefit immensely from edge computing through improved patient monitoring, diagnostic support, and personalized medicine. Edge devices such as wearable health monitors and medical imaging equipment can analyze data locally to provide real-time insights, reducing the need for continuous data transmission to centralized servers. In areas that are underserved or remote, this capability is especially beneficial due to the limited connectivity.
Full Report: https://www.kbvresearch.com/ai-edge-computing-market/
The North America region dominated the Global AI Edge Computing Market by Region in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $23.9 billion by 2031. The Europe region is experiencing a CAGR of 20.5% during (2024 - 2031). Additionally, The Asia Pacific region would showcase a CAGR of 21.8% during (2024 - 2031).
By Organization Size
By Component
By Application
By Vertical
By Geography
Unique Offerings 
