Press release
Artificial Intelligence (AI) Edge Computing Market Trends, Surging Demand, Detailed Analysis, And Forecast To 2033
Artificial Intelligence (AI) Edge Computing Market
The artificial intelligence (AI) edge computing market size is expected to see rapid growth in the next few years. It will grow to $43.77 billion in 2028 at a compound annual growth rate (CAGR) of 15.6%. The growth in the forecast period can be attributed to expansion of 5G networks, adoption of edge AI in autonomous vehicles, emergence of Industry 4.0 initiatives, integration of AI into edge devices, accelerated deployment of edge computing infrastructure. Major trends in the forecast period include edge AI market consolidation, rise of edge AI as a service (AIAAS), shift towards decentralized AI architectures, rise of hybrid edge-cloud computing models, increasing focus on edge AI sustainability and energy efficiency.
Market Overview -
Artificial intelligence (AI) edge computing refers to deploying AI algorithms and models on edge devices, such as sensors, cameras, or edge servers, located closer to the data source or end-user device. This approach brings AI capabilities directly to the network's edge, enabling real-time data processing, analysis, and decision-making without relying solely on centralized cloud servers.
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The Synergy Of Artificial Intelligence (AI) Automation And Edge Computing In Industrial Machinery
The rising use of artificial intelligence automation in industrial machinery is expected to fuel the growth of the AI edge computing market going forward. Artificial intelligence (AI) automation refers to using AI technologies to automate tasks and processes that traditionally require human intervention. AI edge computing helps artificial intelligence automation in industrial machinery by enabling real-time data processing and decision-making directly at the network's edge, where the machinery operates. For instance, in May 2022, according to the report published by International Business Machines Corporation, a US-based technology company, globally, 35% of organizations reported using artificial intelligence (AI) in their operations, a four-point increase from 2021. Additionally, 42% of companies plan to explore AI use. Therefore, the rising artificial intelligence automation in industrial machinery drives the AI-edge computing market.
Competitive Landscape -
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, Accentur*e 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)
Impact Of NVIDIA Jetson AGX Orin On The AI Edge Computing Market
Major companies operating in the artificial intelligence (AI) edge computing market are developing innovative products such as NVIDIA Jetson AGX Orin for edge AI applications. The NVIDIA Jetson AGX Orin is a high-performance system-on-module (SoM) designed for edge AI applications. For instance, in March 2022, Nvidia, a US-based software company, launched NVIDIA Jetson AGX Orin, specifically built for embedded systems and edge computing devices. The Jetson AGX Orin features the latest Orin system-on-chip (SoC), which is based on NVIDIA's Ampere architecture and includes multiple GPU cores, CPU cores, and specialized accelerators for AI inference and computer vision tasks. The NVIDIA Jetson AGX Orin is designed to provide high-performance AI capabilities in a compact and energy-efficient form factor, making it suitable for a wide range of edge AI applications in industries such as robotics, autonomous vehicles, and healthcare.
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Key Segments -
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
Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics
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