Edge Artificial Intelligence Market Forecast 2025-2034: Evaluating Growth Factors, Segments, and Emerging Trends

What combination of drivers is leading to accelerated growth in the edge artificial intelligence market?
The growth of 5G networks is propelling the edge artificial intelligence market forward. 5G, the most recent generation of mobile network technologies, offers faster and more dependable communication for mobile gadgets, and facilitates new applications and services. It is increasingly being adopted for its high speeds, reduced latency, and capacity to accommodate a rising number of connected devices. This promotes progress in sectors like IoT, healthcare, and autonomous vehicles. The introduction of 5G networks considerably bolsters the potentials and benefits of Edge Artificial Intelligence (Edge AI) by facilitating quicker and more dependable communication between edge devices and the cloud. For illustration, T-Mobile International AG, a Germany-based mobile telecommunications firm, reported in February 2023 that there were over 1 billion active 5G subscriptions in 2023, and they expect this number to reach 5 billion by the conclusion of 2028. Therefore, the spread of 5G networks is vital in driving the edge artificial intelligence market.

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What is the projected compound annual growth rate (CAGR) of the edge artificial intelligence market from 2025 to 2034, and what factors influence it?
The market size of edge artificial intelligence has escalated remarkably in the past years. It is predicted to rise from $24.48 billion in 2024 to a whopping $30.56 billion in 2025, with a compound annual growth rate (CAGR) of 24.8%. Factors such as the advent of IoT devices, a surge in demand for edge computing and edge-based applications, the development of smart cities, and the need for real-time processing have all contributed to the growth in the historic period.

The market size of edge artificial intelligence is anticipated to witness considerable expansion in the coming years, with forecasts suggesting a growth to $78.25 billion by 2029, reflecting a compound annual growth rate (CAGR) of 26.5%. The projected growth during the forecasted period can be linked to a rise in the use of edge ai in healthcare, the swift increase of edge ai in the retail sector, supportive regulations for edge computing, an expanding edge ai ecosystem and escalating intricacy of ai workloads. Key trends predicted for the forecast period encompass advancements in technology, inventive product developments, enhancements in edge ai security, chiplet integration, and the application of federated learning techniques.

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What new trends are reshaping the edge artificial intelligence market and its opportunities?
Key corporations active in the field of edge artificial intelligence are honing their technological prowess, such as AI Services at the Edge, to maintain their market dominance. These services bring the power of artificial intelligence straight to edge devices - closer to the source of data creation - thereby reducing dependence on centralized, cloud-based solutions. An example of this is Macrometa, a US-based IT firm that introduced PhotonIQ, a suite of edge services, in October 2023. PhotonIQ aims to deliver a faster, more effective, and more secure digital experience in domains like eCommerce, gaming, finance, and others. These real-time AI services offer numerous advantages to businesses, like enhanced website performance and Lighthouse scores, better user search and personalization experiences, and robust security and reliability during heavy traffic periods. PhotonIQ optimizes dynamic data and app performance with AI at the edge and seamlessly integrates with CDNs like Akamai for speedy enterprise deployment within 60 days.

What are the major segments of the edge artificial intelligence market and their role in driving growth?
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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Which regions are key players in the growth of the edge artificial intelligence market?
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.

Who are the key firms paving the way for growth 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

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What Is Covered In The Edge Artificial Intelligence Global Market Report?

• Market Size Forecast: Examine the edge artificial intelligence market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the edge artificial intelligence market for a structured understanding.
• Key Players Overview: Analyze major players in the edge artificial intelligence market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the edge artificial intelligence market.
• Segment Contributions: Evaluate how different segments drive overall growth in the edge artificial intelligence market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the edge artificial intelligence market.
• Industry Challenges: Identify potential risks and obstacles affecting the edge artificial intelligence market.
• Competitive Landscape: Review strategic developments in the edge artificial intelligence market, including expansions, agreements, and new product launches.

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