Artificial Intelligence (AI) Edge Computing Market Forecast 2025-2034: Analysing Major Trends, Opportunities, and Growth Drivers

Which drivers are expected to have the greatest impact on the over the artificial intelligence (ai) edge computing market's growth?
The AI edge computing market is projected to surge due to the increasing incorporation of artificial intelligence automation in industrial machinery. AI automation involves employing AI technologies to mechanize tasks traditionally needing human interference. AI edge computing augments artificial intelligence automation in such machinery by allowing instant data processing and decision-making at the edge of the network where the machine works. For example, a report issued by International Business Machines Corporation (IBM), an American tech corporation, in May 2022, highlighted a notable rise in global AI adoption, with a 35% rate, a four-point increase from the prior year. It is forecasted that in 2022, there will be a 13% increase in the number of enterprises utilizing AI compared to 2021. AI has been adopted by 35% of organizations, while 42% are contemplating its use. Additionally, two-thirds of companies (66%) are either currently implementing or planning to apply AI to achieve their sustainability objectives. Consequently, the escalating use of artificial intelligence automation in industrial machinery is fueling the AI-edge computing market.

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What is the future CAGR of the artificial intelligence (ai) edge computing market, and how will it impact industry expansion?
The market size for edge computing in artificial intelligence (AI) has seen a massive expansion in the past few years. It is forecasted to surge from $20.29 billion in 2024 to approximately $24.54 billion in 2025, with a compound annual growth rate (CAGR) of 20.9%. Factors contributing to this growth in the historical period include the growing use of IoT devices, advancements in edge computing technology, the increased need for real-time data processing, expansion of AI and machine learning applications, and mounting concerns about data privacy and security.

In the coming years, the artificial intelligence (AI) edge computing market is anticipated to undergo an explosive expansion. By the year 2029, its value is projected to reach $53.18 billion, with a compound annual growth rate (CAGR) of 21.3%. The anticipated growth within the forecast period is due to several factors such as the broadening of 5G networks, the utilization of edge AI in autonomous vehicles, the advent of Industry 4.0 initiatives, the incorporation of AI into edge devices, and the rapid implementation of edge computing infrastructure. Notable trends expected within the forecast period are the consolidation of the edge AI market, the ascendancy of edge AI as a service (AIAAS), movement towards decentralized AI architectures, the emergence of hybrid edge-cloud computing models, and an increased emphasis on edge AI sustainability and energy efficiency.

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What trends are poised to drive the future success of the artificial intelligence (ai) edge computing market?
Leading corporations in the AI edge computing market, including NVIDIA, are introducing groundbreaking products like the NVIDIA Jetson AGX Orin, created specifically for edge AI applications. This high-end system-on-module (SoM) was launched by Nvidia, a US software company, in March 2022, with a specific focus on embedded systems and edge computing devices. The Jetson AGX Orin comes equipped with the innovative Orin system-on-chip (SoC), a part of NVIDIA's Ampere architecture that incorporates several GPU and CPU cores as well as dedicated accelerators for AI inference and computer vision tasks. The main selling point of the NVIDIA Jetson AGX Orin is its impressive AI performance in a small and energy-efficient package, making it the perfect fit for a variety of industries such as robotics, self-driving automobiles, and healthcare that require edge AI applications.

Which key market segments comprise the artificial intelligence (ai) edge computing market and drive its revenue growth?
The artificial intelligence (AI) edge computing market covered in this report is segmented -

1) By Component: Hardware, Software, Services
2) By Application: Industrial Internet Of Things (IIoT), Remote Monitoring, Content Delivery, Video Analytics, Augmented Reality (AR) And Virtual Reality (VR), Other Applications
3) By Organization Size: Large Enterprises, Small And Medium Sized Enterprises
4) By Industry Vertical: Automotive, Healthcare, Chemicals, Oil And Gas, Manufacturing And robotics, Public Infrastructure, Transportation And Logistics, Other Industry Verticals

Subsegments:
1) By Hardware: Edge Servers, Edge Gateways, Iot Devices, Networking Equipment
2) By Software: AI Software Platforms, Data Management Software, Edge Analytics Software
3) By Services: Consulting Services, Integration Services, Support And Maintenance Services

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What regions are at the forefront of artificial intelligence (ai) edge computing market expansion?
North America was the largest region in the artificial intelligence (AI) edge computing market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) edge computing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Who are the leading players fueling growth in the artificial intelligence (ai) edge computing market?
Major companies operating in the artificial intelligence (AI) edge computing market are Apple Inc., Google LLC, Samsung Electronics Co. Ltd., Microsoft Corporation, Dell Technologies Inc., Huawei Technologies Co. Ltd., Siemens AG, General Electric Company (GE), Intel Corporation, accenture* PLC, IBM Corporation, Cisco Systems Inc., Oracle Corporation, Honeywell International Inc., SAP SE, Fujitsu Limited, Hewlett Packard Enterprise (HPE), NVIDIA Corporation, NEC Corporation, Advanced Micro Devices Inc. (AMD), MediaTek Inc., Baidu Inc., Xilinx Inc., RIGADO LLC, Amazon Web Services (AWS)

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What Is Covered In The Artificial Intelligence (AI) Edge Computing Global Market Report?

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

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