The Synergy Of Artificial Intelligence (AI) Automation And Edge Computing In Industrial Machinery: Transformative Forces Shaping the Artificial Intelligence (AI) Edge Computing Market Landscape in 2025

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What Will the Artificial Intelligence (AI) Edge Computing Industry Market Size Be by 2025?
The market size for artificial intelligence (ai) edge computing has seen exponential growth in the past few years. It is projected to grow from $20.29 billion in 2024 to $24.36 billion in 2025, with a compound annual growth rate (CAGR) of 20.0%. The significant growth experienced in the historic period came as a result of the surge in IoT devices, improvements in edge computing technology, heightened demand for real-time data processing, the expansion of AI and machine learning applications, and increasing concerns about data privacy and security.

What's the Long-Term Growth Forecast for the Artificial Intelligence (AI) Edge Computing Market Size Through 2029?
Anticipated to experience impressive growth in the coming years, the market size of artificial intelligence (AI) in edge computing is forecasted to reach $52.45 billion by 2029, growing at a compound annual growth rate (CAGR) of 21.1%. This anticipated surge in the estimation period can be linked to the propagation of 5G networks, the adoption of AI at the edge in self-driving vehicles, the emergence of initiatives like Industry 4.0, the incorporation of AI into edge devices, and rapid establishment of edge computing infrastructure. Some of the prominent trends during the forecast period encompass the consolidation of the edge AI market, the emergence of AI as a service (AIAAS), a shift towards more decentralized AI models, the ascendancy of hybrid edge-cloud computing models, and a growing emphasis on the sustainability and energy efficiency of edge AI.

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What Are the Key Growth Drivers Fueling the Artificial Intelligence (AI) Edge Computing Market Expansion?
The growth of the AI edge computing market is anticipated to be driven by the increasing application of artificial intelligence automation in industrial machinery. This kind of AI automation uses AI technology to automate tasks that usually require human involvement. The role of AI edge computing in this regard is essential as it enables instantaneous data processing and decision-making right at the network's edge - exactly where the machinery is functioning. Citing a report released by the International Business Machines Corporation (IBM) in May 2022, the global AI adoption has witnessed a significant boost, rising four points to 35% compared to the previous year. Further, 13% more companies are estimated to have implemented AI in 2022 compared to 2021. The report found that 35% of organizations have embraced AI; 42% are contemplating its use; and a substantial 66% of companies are either currently implementing or planning to use AI to achieve their sustainability targets. This surge in artificial intelligence automation within industrial machinery is propelling the AI-edge computing market.

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What Are the Key Trends Driving Artificial Intelligence (AI) Edge Computing Market Growth?
In the AI edge computing market, significant businesses like NVIDIA are working on cutting-edge products, including the NVIDIA Jetson AGX Orin, which is tailored for edge AI uses. The NVIDIA Jetson AGX Orin is an efficient, high-performing system-on-module (SoM) aimed at edge AI applications. For instance, in March 2022, the American software firm Nvidia unveiled the NVIDIA Jetson AGX Orin, which is uniquely created for embedded systems and edge computing instruments. The Jetson AGX Orin is equipped with the advanced Orin system-on-chip (SoC) based on NVIDIA's Ampere platform and comes with an assortment of GPU cores, CPU cores, and dedicated accelerators for AI inference and computer vision tasks. The NVIDIA Jetson AGX Orin is conceived to offer superior AI performance in a small, energy-saving format, making it ideal for diverse edge AI applications in sectors such as robotics, autonomous cars, and healthcare.

How Is the Artificial Intelligence (AI) Edge Computing Market Segmented?
The artificial intelligence (ai) edge computingmarket 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 Companies Are Leading the Charge in Artificial Intelligence (AI) Edge Computing Market Innovation?
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)

Which Regions Are Leading the Global Artificial Intelligence (AI) Edge Computing Market in Revenue?
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.

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