Global Edge AI Software Market Overview

The global edge AI software market was valued at USD 1.95 billion in 2024 and is expected to expand to USD 8.91 billion by 2030, registering a robust compound annual growth rate (CAGR) of 29.2% between 2025 and 2030. This rapid growth is driven by multiple factors, including the widespread adoption of Internet of Things (IoT) devices, increasing demand for real-time analytics, continuous advancements in artificial intelligence (AI) and machine learning (ML), as well as the rollout of 5G networks.

Processing data locally on edge devices offers organizations a critical advantage in meeting stringent data privacy regulations and mitigating security risks linked to sending sensitive information to centralized cloud servers. This capability is particularly vital across sectors such as healthcare, finance, and government, where data protection is paramount. As a result, the demand for edge AI solutions is accelerating.

Edge AI systems are designed with energy efficiency in mind, making them ideal for battery-powered devices like drones, sensors, and wearables. This energy-conscious design supports scalable implementation across diverse industries. By enabling AI computations at the edge, companies reduce expenses associated with data transmission to the cloud and minimize latency—key benefits for applications requiring instantaneous response times, including robotics and smart manufacturing. Moreover, the growing deployment of autonomous vehicles, drones, and robots relies heavily on real-time AI processing at the edge for critical functions such as object detection, navigation, and decision-making without cloud dependency.

The Industry 4.0 revolution and smart manufacturing initiatives are further fueling demand for edge AI software. These technologies facilitate real-time monitoring and optimization of production lines, predictive maintenance, and quality assurance. Innovations in AI and ML algorithms now allow complex models to run efficiently on edge devices with limited computing power, expanding the practical applications of edge AI across various sectors. Collectively, these factors are driving widespread adoption and robust market growth worldwide.

Order a free sample PDF of the Edge AI Software Market Intelligence Study, published by Grand View Research.

Key Market Trends & Insights

• North America led the market in 2024, holding over 40.4% revenue share.
• The U.S. edge AI software market is forecasted to register significant CAGR during the projection period.
• The solutions segment dominated the market in 2024, contributing more than 75.92% of global revenue.
• Video and image recognition represented the largest revenue-generating data type segment in 2024.
• IT and telecommunications accounted for the largest market share by vertical in 2024.

Market Size & Growth Forecast

• Market size in 2024: USD 1.95 Billion
• Projected market size by 2030: USD 8.91 Billion
• CAGR (2025–2030): 29.2%
• Largest regional market in 2024: North America

Leading Edge AI Software Companies and Strategies

Prominent players in the edge AI software landscape include Amazon Web Services (AWS), Edge Impulse Inc., Google, Intel, IBM, Microsoft, NVIDIA, Qualcomm, and Siemens. These companies are aggressively expanding their market presence through strategic initiatives such as partnerships, mergers and acquisitions, collaborations, and innovation in product development.

For example, in June 2024, Advantech Co., Ltd. launched the AIR-520 Edge AI server tailored for generative AI applications. It integrates Phison’s aiDAPTIV+ technology, supporting cost-effective large language model (LLM) training with robust data security on edge infrastructure.

AWS offers comprehensive edge AI capabilities via services like AWS IoT Greengrass, Amazon SageMaker Edge Manager, and AWS Panorama, empowering enterprises to deploy AI models locally and enhance operational efficiency by reducing latency and bandwidth use.

Intel delivers a broad portfolio of edge AI solutions, including the Intel Edge Software Hub for optimized AI workloads and the Kubernetes-based Intel® Smart Edge platform, facilitating secure and efficient deployment of edge and multi-access edge computing applications across industries such as healthcare, manufacturing, and retail.

Explore Horizon Databook – The world's most expansive market intelligence platform developed by Grand View Research.

Conclusion

The edge AI software market is poised for exceptional growth driven by technological advances, the rising demand for real-time data processing, and increased emphasis on data privacy and security. Its broad applicability across sectors—from healthcare to manufacturing and telecommunications—combined with energy-efficient and cost-saving benefits, makes edge AI a critical enabler of the future digital ecosystem. As leading companies continue to innovate and expand their offerings, the market is set to experience rapid adoption, reinforcing edge AI’s role as a cornerstone of Industry 4.0 and the evolving smart economy.