Edge AI Market to Surge to $56.8 Billion by 2030, Driven by Real-Time Processing, IoT Growth and Industrial Automation

ResearchAndMarkets.com has released a new report forecasting the growth of the global edge AI market, which is projected to expand significantly from $11.8 billion in 2025 to $56.8 billion by 2030, reflecting a compound annual growth rate (CAGR) of 36.9%. The market, valued at $8.7 billion in 2024, is driven by rising demand for real-time data processing, the proliferation of IoT devices, and advancements in AI and machine learning (ML) technologies. Edge AI, which involves deploying AI algorithms and ML models directly on local devices such as sensors, smartphones, drones, and edge servers, enables immediate data analysis without relying on centralized data centers. This approach is critical for applications requiring low latency, like autonomous vehicles, security systems, and industrial automation. The report highlights key factors propelling growth, including the increasing adoption of edge devices, the need for instant decision-making in industries such as healthcare and manufacturing, and the integration of AI into specialized use cases. For example, edge AI supports remote patient monitoring through on-device analytics and predictive maintenance using sensor data. It also examines market dynamics, technological innovations, regulatory changes, and macroeconomic influences. Emerging trends in patent activity and sustainability practices, including environmental, social, and governance (ESG) considerations, are analyzed alongside competitive strategies. The study provides detailed market segmentation by offering type, deployment mode, end-use industry, and region, along with revenue forecasts and market share assessments. It includes insights from Porter’s Five Forces model, supply chain analyses, and SWOT evaluations. Additionally, the report profiles major players in the sector, such as Microsoft, Nvidia Corp., Alphabet Inc. (Google), Intel Corp., and Amazon.com Inc., detailing their market strategies and technological advancements. Key topics covered include an overview of the edge AI landscape, its evolution, and challenges, as well as a look at industry structure, mergers and acquisitions, and venture funding trends. The analysis also explores how companies are adapting to sustainability demands, with a focus on consumer preferences and ESG performance metrics. The report features 60 data tables and 50 supplementary tables, offering comprehensive data on market size, growth rates, and regional opportunities. It emphasizes the role of edge computing in reducing latency and enhancing efficiency, making it indispensable for applications where internet connectivity is limited or unreliable. With a forecast period spanning 2025 to 2030, the study underscores the transformative impact of edge AI on sectors like industrial robotics, smart appliances, and real-time analytics. The findings aim to guide stakeholders in understanding market opportunities and competitive positioning. For more details, visit the report at ResearchAndMarkets.com.