Edge AI Software Market to reach US $1.85 billion by 2025 - Global Insights on Key Trends, Competitive Landscape, COVID-19 Impact Analysis, Regulatory Landscape, Growth Opportunities and Future Outlook: Adroit Market Research

The rapid growth in the number of intelligent applications is expected to provide opportunities for the edge AI software market growth.

Dallas, Texas, Nov. 23, 2020 (GLOBE NEWSWIRE) -- The “Edge AI Software Market by Component (Solutions (Software Tools, and Platform) and Services (Training and Consulting Services, System Integration and Testing, and Support and Maintenance)), Data Sources (Videos and Image Recognition, Speech Recognition, Biometric Data, Sensor Data, and Mobile Data), Application (Autonomous Vehicles, Access Management, Video Surveillance, Remote Monitoring and Predictive Maintenance, Telemetry, Energy Management, and Others), Vertical (Government and Public, Manufacturing, Automotive, Energy and Utilities, Telecom, Healthcare, and Others), and by Region, Global Forecast, 2018 to 2028” study provides an elaborative view of historic, present and forecasted market estimates.

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The global edge AI software market size is projected to reach nearly USD 1.85 billion by 2025. In addition, it is projected to gather a CAGR of above 26.0% over the forecast years 2020-2025. Edge AI software can be referred to a combination of edge computing technology merged with machine learning. With the AI software, raw data gets turned into insights, predictions or movements automatically. This process gets completed by leveraging software tools in form of software development kit & frameworks merged with AI capabilities. The data input is from hardware devices with the help of signals and sensors. These devices need not stay connected to the internet and process gets completed by making its own decision. All this gets done without utilizing the costly big data platforms. Due to edge AI software’s potential uses cases, industries across the board have made some provisions to incorporate this technology in some way or the other in the coming years.

The future and existing edge AI software market progress are outlined to know the market attractiveness. Key influencing factors focus on the edge AI software of market opportunities over the forecast years. Factors such as the increase in the adoption of cloud technology and increasing investment in its development are driving the market growth. Also, the increasing amount of enterprise workloads on the cloud is boosting the global edge AI software market growth. However, the growing security concerns about data confidentiality is likely to hamper the market growth. Furthermore, the influx of large number of intelligent applications is anticipated to be an opportunity for the edge AI software market.