Our comprehensive research on the Global Edge Artificial Intelligence Chips Market (2023-2031) provides insights for businesses. It covers trends, investments, tech advancements, and major players. The report uses qualitative and statistical data from 2017-2031, including SWOT, BCG, PESTLE analysis, and visuals. It offers a full market landscape with stakeholder insights, regional outlooks, and financial considerations.
The global edge artificial intelligence chips market size was US$ 2.1 billion in 2021. The global edge artificial intelligence chips market is expected to grow to US$ 13.2 billion by 2030 by registering a compound annual growth rate (CAGR) of 20.1% during the study period, i.e., 2022-30.
Edge-based AI chips can significantly bring advancements to IoT devices by using lesser power and generating lesser heat. In addition, the fact that these chips can be easily integrated into any handheld device defines the scope of the overall industry. Further, edge artificial intelligence chips find a wide range of applications in smartphones, robots, etc.
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Factors Influencing the Market
The demand for low latency and real-time processing features is growing swiftly. Machine learning techniques are used in edge AI to process data generated on the device itself. It reduces idleness and promotes instantaneous. The fact that edge AI enables real-time processes like data generation, learning, and inference will be advantageous for applications that entail real-time data processing. Thus, all of these benefits of the edge artificial intelligence chips will accelerate the growth of the edge artificial intelligence chips market during the analysis period.
The profitable applications of edge artificial intelligence chips in drones are projected to benefit the overall market during the study period. AI mobile processors efficiently manage the computational imaging applications in drones, robots, scrutiny cameras, etc. Apart from that, the demand for drones and robots is increasing across various verticals, including defence, healthcare, food & beverage, manufacturing, etc. Moreover, the fact that AI-based vision processing units (VPU) allow devices like drones to perform better decisions and reduce the risk of accidents will continue to amplify the growth of the global market during the study period.
On the contrary, the limited on-device training facilities are expected to impede the growth of the edge artificial intelligence chips market.
Competitors in the Market
Advanced Micro Devices, Inc.
Alphabet Inc.
Intel Corporation
Qualcomm Technologies, Inc.
Apple Inc.
Mythic Ltd.
Arm Limited
Samsung Electronics Co., Ltd.
NVIDIA Corporation
HiSilicon(Shanghai) Technologies CO., LIMITED
Xilinx Inc.
Other prominent players
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The report furnishes an intricate comprehension of each segment, delivering potential estimations for principal applications and insights into emerging prospects. Every regional market is meticulously scrutinized to ascertain its potential for growth, development, and demand in the forthcoming years.
As of the end of 2022, the Edge Artificial Intelligence Chips industry experienced notable growth in its workforce. Starting in January, employment within the Edge Artificial Intelligence Chips sector exceeded its pre-COVID levels, resulting in an expansion of payrolls by over 15,000 employees throughout the course of the year. The global Edge Artificial Intelligence Chips output demonstrated a remarkable increase of 5.2% during 2021, primarily attributed to a widespread economic upswing and a surge in demand for commodities. However, the momentum shifted in 2022, with the global industrial sector’s production contracting. This reversal followed a robust expansion in 2021, fueled by altered consumer spending patterns and substantial fiscal support.
Forecasts indicate that the global Edge Artificial Intelligence Chips output is set to rise by approximately 2.9% in 2023. This projection is underpinned by the gradual recovery of production in Western Europe from its previous troughs, as well as a rebound in output across the Asia/Pacific region. Maintaining its dominant position, China, accounting for nearly 45% of the global Edge Artificial Intelligence Chips market, remains both its largest producer and consumer. Remarkably, China’s market share has surged since 2010, when it stood at around 26%. This ascent has led to a substantial contribution to the nation’s GDP. Notably excelling as a top exporter, China leads in various sectors, including silicon, PVC, and several specific segments of the Edge Artificial Intelligence Chips market.
Market Segmentation
The global edge artificial intelligence chips market segmentation focuses on Processor, Device, Function, and Region.
By Processor
CPU
GPU
ASIC
Others
By Device Type
Consumer Devices
Enterprise Devices
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By Function
Training
Inference
By Regional Outlook
? North America
o The U.S.
o Canada
o Mexico
? Europe
? Western Europe
o The UK
o Germany
o France
o Italy
o Spain
o Rest of Western Europe
? Eastern Europe
o Poland
o Russia
o Rest of Eastern Europe
? Asia Pacific
o China
o India
o Japan
o Australia & New Zealand
o ASEAN
o Rest of Asia Pacific
? Middle East & Africa (MEA)
o UAE
o Saudi Arabia
o South Africa
o Rest of MEA
? South America
o Brazil
o Argentina
o Rest of South America
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Table of Contents:
Chapter 1: Introduction to the Global Edge Artificial Intelligence Chips Industry
Chapter 3: Dynamics of the Market
Chapter 4: Profiles of Leading Companies
Chapter 5: Competition in the Global Edge Artificial Intelligence Chips Market among Players
Chapter 6: Market Size across Global Regions
Chapter 7: Application Segments in the Global Market
Chapter 8: Segment Analysis of the Global Edge Artificial Intelligence Chips Industry
Chapter 9: Market Chain, Sourcing Strategies, and Downstream Buyers
Chapter 10: Strategies and Key Policies by Distributors/Suppliers/Traders
Chapter 11: In-depth Analysis of Key Marketing Strategies by Market Vendors
Chapter 12: Evaluation of Market Impact Factors
Chapter 13: Forecasted Global Edge Artificial Intelligence Chips Market Size (2023-2031)
Reasons to Acquire This Report
(A) This research imparts invaluable insights tailored for senior management, policymakers, industry professionals, product innovators, sales executives, and stakeholders within the market. It equips them with the information needed to make well-informed decisions and craft effective strategies.
(B) The report delivers a comprehensive analysis of global, regional, and country-level Edge Artificial Intelligence Chips market revenues, extending projections until 2030. This dataset empowers companies to gauge their market presence, recognize avenues for growth, and explore emerging markets.
(C) Through meticulous segmentation of the Edge Artificial Intelligence Chips market encompassing types, applications, technologies, and end-uses, this study empowers leaders to blueprint their products and allocate resources based on the projected growth trajectories of each segment.
(D) Investors stand to gain from the market analysis by gaining insights into market scope, positioning, key drivers, challenges, limitations, expansion prospects, and potential risks. Armed with this knowledge, they can make well-considered investment choices.
(E) The report conducts an intricate analysis of competitors, unraveling their pivotal strategies and market positioning. This intelligence equips businesses with a profound understanding of the competitive landscape, enabling them to chart their own strategies accordingly.
(F) The study facilitates the assessment of Edge Artificial Intelligence Chips business projections delineated by region, key countries, and prominent companies, bestowing invaluable information for investment strategizing and decision-making.
Why is our study consequential?
Our study holds paramount importance for various reasons, a few of which include:
• Assisting businesses in gauging the viability of new or existing products or services.
• Facilitating business enterprises in the identification and cultivation of novel market segments.
• Providing a preemptive understanding of consumer demand prior to introducing new products, services, or features.
• Enhancing the overall efficacy of marketing, advertising, and promotional initiatives.
• Analyzing market trends to aid businesses in devising adaptive strategies.
• Guiding businesses in the optimal placement of their products.
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