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How are market drivers shaping the future growth trajectory of the edge artificial intelligence industry?
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. 5G technology is increasingly adopted due to its faster speeds, lower latency, and ability to support a growing number of connected devices, enabling advancements in industries such as IoT, healthcare, and autonomous vehicles. 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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What is the estimated market size of the edge artificial intelligence sector by 2029, based on current forecasts?
The edge artificial intelligence market size has grown exponentially in recent years. It will grow from $24.48 billion in 2024 to $30.56 billion in 2025 at a compound annual growth rate (CAGR) of 24.8%. 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 $78.25 billion in 2029 at a compound annual growth rate (CAGR) of 26.5%. 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.
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#Who are the top players in the edge artificial intelligence market?
Major companies operating in the edge artificial intelligence market report are Alphabet Inc., Google, Microsoft Corporation, Amazon Web Services, International Business Machines Corporation, NVIDIA Corporation, Baidu, Inc., Intel Corporation, Renesas Electronics Corporation, Nutanix, Inc., Synaptics Incorporated, ADTRAN, Inc., Cloudera, Inc., TIBCO Software Inc., DataRobot, Inc., Bragi GmbH, Tact.ai Technologies, Inc., Gorilla Technology Group, Azion Technologies, Veea Inc., FogHorn Systems, Inc., ClearBlade, Inc., Octonion SA, Anagog Ltd., Dori AI, Adapdix, SWIM.AI Inc., Avassa, Imagimob AB, XNOR.AI
#What are the major trends in the edge artificial intelligence market?
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 such as Akamai for rapid enterprise deployment in under 60 days.
Which geography holds the highest edge artificial intelligence market share?
North America was the largest region in the edge artificial intelligence market in 2024. The regions covered in the edge artificial intelligence market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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How do different segments contribute to the overall expansion of the edge artificial intelligence market?
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
Subsegments:
1) By Hardware: Edge Devices, Edge Servers, Specialized AI Chips
2) By Software: AI Algorithms, Edge AI Platforms, Application Software
3) By Services: Consulting Services, System Integration, Support And Maintenance Services
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What defines the structure and scope of the edge artificial intelligence market?
Edge Artificial Intelligence refers to the deployment of artificial intelligence (AI) algorithms and models directly on edge devices near the source of data generation rather than relying on centralized cloud-based processing. Edge AI offers several advantages over traditional cloud-based AI, which include improved bandwidth utilization, reduced latency, enhanced security and privacy, and offline functionality.
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