What Fueled The Previous Growth In The Artificial Intelligence AI Edge Computing Market?
The artificial intelligence ai edge computing market has seen considerable growth due to a variety of factors.
• The market size of artificial intelligence (AI) edge computing has witnessed exceptional growth recently. It is projected to expand from $20.29 billion in 2024 to $24.54 billion in 2025, demonstrating a compound annual growth rate (CAGR) of 20.9%.
The growth during the historic period is ascribed to factors such as the rise in the number of IoT devices, advancements in edge computing technology, increased need for real-time data processing, development of AI and machine learning applications, as well as escalating concerns about data privacy and security.
What Can Be Expected from the Artificial Intelligence AI Edge Computing Market Size?
The artificial intelligence ai edge computing market is expected to maintain its strong growth trajectory in upcoming years.
• Expected to witness significant expansion in the coming years, the market size for edge computing in artificial intelligence (AI) is projected to reach $53.18 billion in 2029, growing at an annual compound growth rate (CAGR) of 21.3%.
Key factors catalyzing this growth are the wide-scale expansion of 5G networks, the incorporation of edge AI in autonomous vehicles, the rise of Industry 4.0 initiatives, AI integration into edge devices, and the rapid establishment of edge computing infrastructure. In the forecast period, some prevalent trends to look out for include consolidation of the edge AI market, the emergence of edge AI as a service (AIAAS), a shift to decentralised AI architectures, increased adoption of hybrid edge-cloud computing models and a growing emphasis on sustainability and energy efficiency in edge AI.
What Are the Critical Driver Fuelling The Artificial Intelligence AI Edge Computing Market's Growth?
As the utilization of artificial intelligence automation in industrial machinery escalates, the AI edge computing market is predicted to experience robust growth. AI automation involves leveraging AI technology to mechanize tasks and processes that ordinarily rely on human input. AI edge computing facilitates AI automation inside industrial machinery, permitting speedy data processing and immediate decision making at the edge of the network encompassing the operating machinery. As per a report by International Business Machines Corporation (IBM) centered in the US, the global AI adoption rate materialistically expanded in May 2022 to 35%, marking a four-point increase from last year. In 2022, it is forecasted that AI will be implemented by an additional 13% of companies compared to 2021. 35% of businesses acknowledged implementing AI, 42% are contemplating AI adoption, and an impressive 66% are currently deploying or planning to deploy AI to achieve their sustainability targets. Hence, the growth of AI automation within industrial machinery catalyzes the AI-edge computing market.
How Is The Artificial Intelligence AI Edge Computing Market segmented?
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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Which Emerging Market Trends Are Altering The Artificial Intelligence AI Edge Computing Industry?
Prominent firms in the artificial intelligence (AI) edge computing market, such as NVIDIA, are creating innovative items like the NVIDIA Jetson AGX Orin, tailored for edge AI applications. Consider the March 2022 introduction by American software firm Nvidia of the NVIDIA Jetson AGX Orin, explicitly developed for embedded and edge computing systems. Sporting the most recent Orin system-on-chip (SoC) based on NVIDIA's Ampere architecture, the Jetson AGX Orin comes replete with numerous GPU and CPU cores, along with distinct accelerators for AI inference and computer vision tasks. Its design focuses on offering superior AI performance in a sleek yet power-efficient package, making it ideal for an array of edge AI applications spanning industries such as robotics, autonomous vehicles, and healthcare.
Who Are the Key Players 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)
What Is The Most Dominant Region In The Artificial Intelligence AI Edge Computing Market?
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.
