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Edge AI Software Market Size, Share & Trends Analysis Report By Data Type (Audio Data, Mobile Data, Sensor Data, Biometric Data, Speech Recognition), By Offering, By Vertical, By Region, And Segment Forecasts, 2025 - 2030
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Edge AI Software Market Size & Trends:

The global edge AI software market size was estimated at USD 1.95 billion in 2024 and is expected to expand at a CAGR of 29.2% from 2025 to 2030. Numerous factors such as proliferation of Internet of Things (IoT) devices, increasing demand for real-time decision-making, advancements in artificial intelligence (AI) and Machine Learning, and 5G network expansion are primarily contributing to market growth. Furthermore, processing data locally on edge devices helps organizations comply with stringent data privacy regulations and avoid the security risks associated with transmitting sensitive data to centralized cloud servers. This is particularly essential in the healthcare, finance, and government sectors. Thus, there is high market growth.

Edge AI systems are designed to be energy-efficient, which is essential for various battery-powered devices such as drones, sensors, and wearables. This enables the scalable deployment of Edge AI solutions across various sectors. Moreover, by performing AI processing at the edge, companies can significantly reduce the costs associated with data transmission to the cloud. This also decreases latency, making Edge AI suitable for applications requiring quick response times, such as robotics and smart manufacturing. Furthermore, the rise of autonomous vehicles, drones, and robots requires real-time AI processing at the edge for various tasks such as object recognition, navigation, and decision-making without relying on cloud-based systems.

Industry 4.0 and smart manufacturing initiatives drive demand for Edge AI software to monitor and optimize production lines, predict equipment failures, and ensure quality control in real time. Ongoing developments in AI and machine learning algorithms allow complex models to be run efficiently on edge devices with limited computing resources. This improvement expands the scope of Edge AI applications across various industries. These drivers collectively contribute to the accelerated market adoption and growth across multiple industries and regions.

Global Edge AI Software Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global Edge AI software market report based on the offering, data type, vertical, and region.

Table of Contents

Chapter 1. Methodology and Scope

Chapter 2. Executive Summary

Chapter 3. Edge AI Software Market Variables, Trends, & Scope

Chapter 4. Edge AI Software Market: Offering Estimates & Trend Analysis

Chapter 5. Edge AI Software Market: Data Type Estimates & Trend Analysis

Chapter 6. Edge AI Software Market: Vertical Estimates & Trend Analysis

Chapter 7. Edge AI Software Market: Regional Estimates & Trend Analysis

Chapter 8. Competitive Landscape

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