The Edge Artificial Intelligence Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).
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According to The Business Research Company’s Edge Artificial Intelligence Global Market Report 2024, The edge artificial intelligence market size has grown exponentially in recent years. It will grow from $19.46 billion in 2023 to $24.48 billion in 2024 at a compound annual growth rate (CAGR) of 25.8%. The growth in the historic period can be attributed to rise of iot devices, increased demand for edge computing, surge in edge-based applications, rise of smart cities, demand for real-time processing.
The edge artificial intelligence market size is expected to see exponential growth in the next few years. It will grow to $61.63 billion in 2028 at a compound annual growth rate (CAGR) of 26.0%. The growth in the forecast period can be attributed to increasing edge ai in healthcare, rapid growth of edge ai in retail, regulatory support for edge computing, growing edge ai ecosystem, increasing complexity of ai workloads. Major trends in the forecast period include technology advancements, product innovations, edge ai security enhancements, chiplet integration, federated learning techniques.
The expansion of 5G networks is driving the edge artificial intelligence market going forward. 5G, or fifth-generation, refers to the latest generation of mobile network technology designed to provide faster and more reliable communication for mobile devices, as well as enable new applications and services. The deployment of 5G networks significantly enhances the capabilities and benefits of Edge Artificial Intelligence (Edge AI) by providing faster and more reliable communication between edge devices and the cloud. For instance, in February 2023, according to T-Mobile International AG, a Germany-based mobile telecommunications company, there were more than 1 billion active 5G subscriptions in 2023, and 5 billion individuals are expected to have 5G subscriptions by the end of 2028. Therefore, the expansion of 5G networks is driving the market for edge artificial intelligence market.
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The edge artificial intelligence market covered in this report is segmented –
1) By Component: Hardware, Software, Services
2) By Deployment Mode: On-Premise, Cloud-Based
3) By Data Sources: Mobile Data, Sensor Data, Biometric Data, Speech, Video and Image Recognition
4) By Application: Video Surveillance, Access Management, Autonomous Vehicles
5) By End-Use Industry : IT And Telecom, Automotive
Major companies operating in the edge artificial intelligence sector are focused on technological advancements such as AI Services at the Edge to sustain their position. AI Services at the Edge refer to providing artificial intelligence capabilities directly on edge devices, closer to the point where data is generated, rather than relying on centralized cloud-based solutions. For instance, in October 2023, Macrometa, a US-based information technology company, launched PhotonIQ, a suite of edge services designed to deliver faster, more efficient, and more secure digital experiences in eCommerce, gaming, financial services, and more. These real-time AI services help businesses achieve several benefits, including increased website performance and Lighthouse scores, improved search and personalization experiences for users, and increased security and dependability during periods of high traffic. PhotonIQ enhances dynamic data and application performance with AI at the edge, seamlessly integrating with CDNs like Akamai for rapid enterprise deployment in under 60 days.
The edge artificial intelligence market report table of contents includes:
1. Executive Summary
2.Edge Artificial Intelligence Market Characteristics
3.Edge Artificial Intelligence Market Trends And Strategies
4.Edge Artificial Intelligence Market analysis
5.Edge Artificial Intelligence Market Size And Growth
6.Edge Artificial Intelligence Segmentation
7.Edge Artificial Intelligence Regional And Country Analysis
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27.Edge Artificial Intelligence Competitive Landscape And Company Profiles
28.Edge Artificial Intelligence Key Mergers And Acquisitions
29.Edge Artificial Intelligence Future Outlook and Potential Analysis
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