This latest research analyses the edge AI software market by component divided into solutions and services;  data source, application divided into autonomous vehicles, access management, video surveillance, remote monitoring & predictive maintenance, telemetry and vertical, and region, and provides a global forecast to 2023.

In this market the vendors offer edge AI solutions as software tools and platforms. The edge AI software tools are a combination of Machine Learning (ML) and edge computing technology, and automatically turn raw data into events, insights, and predictions, without big data and costly analysis. The software tools that are being offered in the edge AI software market are in the form of Software Development Kits (SDKs) and frameworks, which allow users to integrate AI capabilities in the application software.

Marketsandmarkets predicts that the energy and utilities vertical is estimated to hold the largest market size during the forecast period. This segment includes high-stake, technology-driven operations, which depend on real-time insights to provide proactive monitoring and protection against machinery and equipment failure. Most of the operations happen at a remote area and lack reliable network infrastructure; edge AI software provides data analytics on edge devices to enable real-time response, which is required for maximum production and safety.

The findings show that North America is the major revenue-generating region in the global edge AI software market. This region is witnessing major developments in the edge AI software space. Many AI solution providers in North America are experimenting in the edge AI software market by integrating AI and ML functionalities with their existing edge AI solutions. They are also adopting various growth strategies to strengthen their position in the edge AI software market.

The major vendors cited as being active in the global edge AI software market include IBM, Google, Microsoft, AWS, Nutanix, Tibco, Octonion, Swim.AI, Imagimob, Anagog, Foghorn Systems, Xnor.AI, Bragi, Invision.AI, Tact.ai, and Veea Systems.