Overview and Scope
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.
Sizing and Forecast
The artificial intelligence (AI) edge computing market size has grown
exponentially in recent years. It will grow from $16.73 billion in 2023 to
$20.29 billion in 2024 at a compound annual growth rate (CAGR) of 21.3%. The growth in the historic period can be
attributed to proliferation of IoT devices, advancements in edge computing
technology, increasing demand for real-time data processing, growth of AI and
machine learning applications, rising concerns over data privacy and security.
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.
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Segmentation & Regional Insights
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
North America was the largest region in the artificial intelligence (AI) edge
computing market in 2023. 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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Major Driver Impacting Market Growth
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.
Key Industry Players
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)
The artificial intelligence (ai) edge computing market report table of contents
includes:
1. Executive Summary
2.
Artificial Intelligence (AI) Edge Computing Market Characteristics
3.
Artificial Intelligence (AI) Edge Computing Market Trends And Strategies
4.
Artificial Intelligence (AI) Edge Computing Market - Macro Economic Scenario
5. Global
Artificial Intelligence (AI) Edge Computing Market Size and Growth
.
32. Global
Artificial Intelligence (AI) Edge Computing Market Competitive Benchmarking
33. Global
Artificial Intelligence (AI) Edge Computing Market Competitive Dashboard
34. Key
Mergers And Acquisitions In The Artificial Intelligence (AI) Edge Computing
Market
35.
Artificial Intelligence (AI) Edge Computing Market Future Outlook and Potential
Analysis
36.
Appendix
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