Edge AI refers to the deployment of artificial intelligence (AI) algorithms on devices at the edge of the network, closer to where data is generated. Instead of sending data to centralized cloud servers for processing, AI tasks are performed locally on edge devices, enabling faster decision-making and reduced latency.

How big is Edge AI Market?

The Global Edge AI Market size is expected to be worth around USD 163 Billion By 2033, from USD 19 Billion in 2023, growing at a CAGR of 24.1% during the forecast period from 2024 to 2033.

What are the key factors driving the growth of the Edge AI Market?

Key factors include the increasing need for low-latency AI processing, the growth of IoT devices, advancements in AI algorithms, the demand for real-time data analysis, and the push for enhanced data privacy by processing information on local devices rather than in the cloud.

What are the current trends and advancements in the Edge AI Market?

Current trends include the integration of AI capabilities in edge devices, the use of specialized AI processors, the development of energy-efficient edge AI solutions, and the adoption of edge AI in industries such as healthcare, automotive, and retail for real-time decision-making and analytics.

Edge AI Market Size, Share, Trends

Global Edge AI Market By Component (Hardware, Software, Edge Cloud Infrastructure, Services), By End-Use Industry (IT & Telecom, Healthcare, Consumer Electronics, Automotive, Government, Manufacturing, Other End-Use Industries), By Region and Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends, and Forecast 2024-2033

Published date:
August 2024
Report ID:
105284
Number of Pages:
242
Format:

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