Global Edge AI Chips
Market Report
2024
The global Edge AI Chips market size will be USD 25142.2 million in 2024. Rising Internet of Things (IoT) is expected to boost sales to USD 133976.7145 million by 2031, with a Compound Annual Growth Rate (CAGR) of 27.00% from 2024 to 2031.
The base year for the calculation is 2023 and 2019 to 2023 will be historical period. The year 2024 will be estimated one while the forecasted data will be from year 2025 to 2031. When we deliver the report that time we updated report data till the purchase date.
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According to Cognitive Market Research, the global Edge AI Chips market size will be USD 25142.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 27.00% from 2024 to 2031.
Base Year | 2023 |
Historical Data Time Period | 2019-2023 |
Forecast Period | 2024-2031 |
Global Edge AI Chips Market Sales Revenue 2024 | $ 25142.2 Million |
Global Edge AI Chips Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 27% |
North America Edge AI Chips Market Sales Revenue 2024 | $ 10056.9 Million |
North America Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 25.2% |
United States Edge AI Chips Sales Revenue 2024 | $ 7934.88 Million |
United States Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 25% |
Canada Edge AI Chips Sales Revenue 2024 | $ 1206.83 Million |
Canada Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 26% |
Mexico Edge AI Chips Sales Revenue 2024 | $ 915.18 Million |
Mexico Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 25.7% |
Europe Edge AI Chips Market Sales Revenue 2024 | $ 7542.66 Million |
Europe Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 25.5% |
United Kingdom Edge AI Chips Sales Revenue 2024 | $ 1267.17 Million |
United Kingdom Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 26.3% |
France Edge AI Chips Sales Revenue 2024 | $ 693.92 Million |
France Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 24.7% |
Germany Edge AI Chips Sales Revenue 2024 | $ 1493.45 Million |
Germany Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 25.7% |
Italy Edge AI Chips Sales Revenue 2024 | $ 648.67 Million |
Italy Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 24.9% |
Russia Edge AI Chips Sales Revenue 2024 | $ 1169.11 Million |
Russia Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 24.5% |
Spain Edge AI Chips Sales Revenue 2024 | $ 618.5 Million |
Spain Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 24.6% |
Rest of Europe Edge AI Chips Sales Revenue 2024 | $ 1169.11 Million |
Rest of Europe Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 24.2% |
Asia Pacific Edge AI Chips Market Sales Revenue 2024 | $ 5782.71 Million |
Asia Pacific Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 29% |
China Edge AI Chips Sales Revenue 2024 | $ 2602.22 Million |
China Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 28.5% |
Japan Edge AI Chips Sales Revenue 2024 | $ 798.01 Million |
Japan Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 27.5% |
Korea Edge AI Chips Sales Revenue 2024 | $ 578.27 Million |
Korea Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 28.1% |
India Edge AI Chips Sales Revenue 2024 | $ 693.92 Million |
India Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 30.8% |
Australia Edge AI Chips Sales Revenue 2024 | $ 300.7 Million |
Australia Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 28.7% |
Rest of APAC Edge AI Chips Sales Revenue 2024 | $ 410.57 Million |
Rest of APAC Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 28.8% |
South America Edge AI Chips Market Sales Revenue 2024 | $ 1257.11 Million |
South America Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 26.4% |
Brazil Edge AI Chips Sales Revenue 2024 | $ 538.04 Million |
Brazil Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 27% |
Argentina Edge AI Chips Sales Revenue 2024 | $ 211.19 Million |
Argentina Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 27.3% |
Colombia Edge AI Chips Sales Revenue 2024 | $ 111.88 Million |
Colombia Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 26.2% |
Peru Edge AI Chips Sales Revenue 2024 | $ 103.08 Million |
Peru Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 26.6% |
Chile Edge AI Chips Sales Revenue 2024 | $ 90.51 Million |
Chile Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 26.7% |
Rest of South America Edge AI Chips Sales Revenue 2024 | $ 202.39 Million |
Rest of South America Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 25.5% |
Middle East and Africa Edge AI Chips Market Sales Revenue 2024 | $ 502.84 Million |
Middle East and Africa Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 26.7% |
Turkey Edge AI Chips Sales Revenue 2024 | $ 43.24 Million |
Turkey Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 26.2% |
Nigeria Edge AI Chips Sales Revenue 2024 | $ 52.8 Million |
Nigeria Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 25.8% |
Egypt Edge AI Chips Sales Revenue 2024 | $ 52.8 Million |
Egypt Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 27% |
South Africa Edge AI Chips Sales Revenue 2024 | $ 79.45 Million |
South Africa Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 27.7% |
GCC Countries Edge AI Chips Sales Revenue 2024 | $ 215.22 Million |
GCC Countries Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 27.5% |
Rest of MEA Edge AI Chips Sales Revenue 2024 | $ 59.34 Million |
Rest of MEA Edge AI Chips Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 25.7% |
Market Drivers:
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Market Restrains:
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Market Trends:
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Market Split by Processor |
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Market Split by Device Type |
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Market Split by Function |
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List of Competitors |
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Regional Analysis |
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Country Analysis |
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Key Qualitative Information Covered |
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Edge AI Chips Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
The Edge AI chips market encompasses semiconductor gadgets designed to carry out synthetic intelligence computations at the brink of networks toward statistics assets. These chips allow real-time information processing and decision-making in numerous programs, inclusive of IoT devices, self sustaining motors, and clever appliances. By decreasing latency and bandwidth requirements related to cloud computing, Edge AI chips enhance efficiency and responsiveness. The market is driven by the developing call for superior analytics, automation, and power-efficient answers throughout industries, which include healthcare, production, and transportation. Innovations in chip layout and structure hold to propel the development of more effective and compact Edge AI answers.
In April 2024, With integrated AI accelerators, Intel introduced its next-generation Xeon processors, intended to improve AI performance in edge computing scenarios. (Source: https://www.intel.com/content/www/us/en/newsroom/news/computex-2024-ai-everywhere-power-performance-affordability.html
The Internet of Things (IoT) has led to the fast proliferation of connected gadgets, producing sizable quantities of statistics that require real-time processing and analysis. Edge AI chips are vital for offering the computational power and efficiency wished for on-device intelligence, taking into account quicker record processing without relying on cloud offerings. This technology permits a huge variety of applications, inclusive of clever homes with computerized structures, clever cities that enhance urban dwellings through optimized useful resource control, and business automation that improves efficiency and decreases downtime. Overall, Edge AI chips play a critical position in figuring out the total potential of IoT. For instance, C In November 2023, AWS and Siemens deepened their partnership to facilitate the easier integration of physical devices with the cloud. Siemens' Industrial Edge Marketplace now offers direct installation of AWS's IoT SiteWise Edge software thanks to the extended relationship.
Autonomous cars rely substantially on AI for real-time selection-making, making Edge AI chips vital for their operation. These chips technique huge quantities of sensor statistics from cameras, lidar, and radar, permitting the detection of objects, pedestrians, and obstacles within the vehicle's environment. By performing computations regionally, Edge AI chips decrease latency, making sure timely responses to dynamic avenue conditions and improving safety. Additionally, they facilitate efficient manipulation of vehicle actions, allowing for clean navigation and adherence to visitors' policies. Overall, Edge AI generation is essential for the secure and effective functioning of self-using motors, driving the future of transportation.
Edge AI chips provide greater performance compared to conventional cloud-based solutions. However they nevertheless devour power, which may be an important consideration for battery-powered gadgets. In programs consisting of wearable era, IoT sensors, and autonomous automobiles, energy efficiency is paramount to prolong battery lifestyles and make sure dependable overall performance. The electricity intake of Edge AI chips can restrict the deployment of these gadgets in environments where electricity sources are constrained. As a result, ongoing improvements in chip layout and electricity control techniques are crucial to reduce power utilization while retaining the excessive overall performance talents required for actual-time facts processing and choice-making.
The COVID-19 pandemic substantially impacted the Edge AI chips marketplace, accelerating virtual transformation across various industries. As organizations adapted to far-flung operations, the call for IoT gadgets and AI answers surged, driving the need for efficient records processing to the brink. However, delivery chain disruptions, first of all, hindered production and transport. Post-pandemic, the market rebounded as corporations prioritized automation, smart manufacturing, and improved connectivity to improve resilience. The awareness of energy efficiency and real-time analytics similarly fueled the increase, positioning Edge AI chips as essential components for future technological improvements in sectors that include healthcare, automobiles, and smart towns.
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The aggressive panorama of the Edge AI chips marketplace functions several key gamers, including NVIDIA, Intel, Qualcomm, and AMD, each striving to beautify their product services through innovation and strategic partnerships. Companies awareness on growing advanced chip architectures and energy-green answers to satisfy the increasing demand for real-time processing in numerous programs. Additionally, rising startups are coming into the market, bringing clean technologies and processes, intensifying competition, and using improvements in overall performance and capability across the Edge AI chip section.
In March 2023 Google revealed the Coral Dev Board Micro, a small development board with Google's Edge TPU to speed up machine learning activities at the edge for edge AI applications. (Source: https://coral.ai/products/dev-board-micro/ In February 2023, With the Snapdragon X75 5G modem, which Qualcomm unveiled, connection and AI processing at the edge are improved thanks to advanced AI capabilities for edge devices. (Source: https://www.qualcomm.com/news/releases/2023/02/qualcomm-sparks-the-next-phase-of-5g-with-the-world-s-first-5g-a In October 2023, With the release of the Exynos 2200 processor, Samsung aimed to enhance the AI processing capabilities of edge devices and smartphones by integrating an AI engine. (Source: https://news.samsung.com/global/samsung-introduces-game-changing-exynos-2200-processor-with-xclipse-gpu-powered-by-amd-rdna-2-architecture)
Top Companies Market Share in Edge AI Chips Industry: (In no particular order of Rank)
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According to Cognitive Market Research, North America currently dominates the Edge AI Chipss market, and the region is expected to have significant growth during the projected period. North America is experiencing a full-size boom inside the Edge AI chips marketplace, driven by increased adoption of IoT devices, self-reliant motors, and clever technologies. The vicinity's sturdy recognition of innovation, coupled with massive investments in AI studies and improvement, helps this growth. Major era groups and startups alike are advancing their Edge AI chip offerings, improving overall performance and energy efficiency.
Asia-Pacific is expected to make significant gains during the projected period, with the greatest compound annual growth rate (CAGR). The Asia Pacific place is witnessing a sturdy increase within the Edge AI chips marketplace, fueled by the aid of a growing call for smart gadgets, commercial automation, and IoT programs. Countries like China, Japan, and India are investing closely in AI and semiconductor generation, riding innovation, and manufacturing. The increasing consciousness of virtual transformation and smart town projects, in addition.
The current report Scope analyzes Edge AI Chips Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
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According to Cognitive Market Research, the global Edge AI Chips market size was estimated at USD 25142.2 Million, out of which North America held the major market share of more than 40% of the global revenue with a market size of USD 51715.0 million in 2024 and will grow at a compound annual growth rate (CAGR) of 25.2% from 2024 to 2031.
According to Cognitive Market Research, the global Edge AI Chips market size was estimated at USD 25142.2 Million, out of which Europe held the market share of more than 30% of the global revenue with a market size of USD 7542.66 million in 2024 and will grow at a compound annual growth rate (CAGR) of 25.5% from 2024 to 2031.
According to Cognitive Market Research, the global Edge AI Chips market size was estimated at USD 25142.2 Million, out of which Asia Pacific held the market share of around 23% of the global revenue with a market size of USD 5782.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 29.0% from 2024 to 2031.
According to Cognitive Market Research, the global Edge AI Chips market size was estimated at USD 25142.2 Million, out of which the Latin America held the market share of around 5% of the global revenue with a market size of USD 1257.11 million in 2024 and will grow at a compound annual growth rate (CAGR) of 26.4% from 2024 to 2031.
According to Cognitive Market Research, the global Edge AI Chips market size was estimated at USD 25142.2 Million, out of which the Middle East and Africa held the major market share of around 2% of the global revenue with a market size of USD 502.84 million in 2024 and will grow at a compound annual growth rate (CAGR) of 26.7% from 2024 to 2031..
Global Edge AI Chips Market Report 2024 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing Edge AI Chips Industry growth. Edge AI Chips market has been segmented with the help of its Processor, Device Type Function, and others. Edge AI Chips market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
How are Segments Performing in the Global Edge AI Chips Market?
According to Cognitive Market Research, CPU are likely to dominate the Edge AI Chips Market over the forecast period. The CPU section is experiencing a boom in the Edge AI chips marketplace, pushed by improvements in processing strength and energy performance. As programs demand actual-time information processing and evaluation, CPUs are evolving to incorporate AI skills immediately on-chip. This development enhances performance for various aspect packages, such as clever devices, commercial automation, and independent structures, supporting the wider adoption of the Edge AI era.
The GPU is the fastest-growing segment in the Edge AI Chips Market. The GPU segment is extensively contributing to the growth of the Edge AI chips market, thanks to its advanced parallel processing competencies. GPUs excel at managing complex AI algorithms and massive datasets, making them best for actual-time record evaluation in aspect applications. This overall performance benefit is riding their adoption in sectors like self-sufficient cars, smart cities, and commercial automation, enhancing usual efficiency and responsiveness.
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According to Cognitive Market Research, the Consumer Devices segment holds the largest share of the market. The patron gadgets phase is fueling an increase in the Edge AI chips marketplace, driven by growing demand for smart home technologies, wearables, and personal devices. Edge AI chips decorate tool functionality by way of allowing real-time processing, progressed user experiences, and superior capabilities like voice recognition and facial detection. This trend helps the combination of AI abilities into normal client merchandise, promoting smarter, extra-related residing.
In the Edge AI Chips Market, the Enterprise Devices has been expanding at a rapid pace. The corporation devices section is driving growth within the Edge AI chips marketplace as groups an increasing number of undertake AI solutions for stepped-forward efficiency and decision-making. Edge AI chips enable real-time facts processing in packages along with clever production, logistics, and protection systems. This integration enhances operational overall performance, reduces latency, and helps advanced analytics, making companies more agile and aggressive in today's statistics-pushed landscape.
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According to Cognitive Market Research, Training holds the largest market share. The training segment is contributing to the growth of the Edge AI chips market, as groups an increasing number of consciousness on growing gadget learning models at the threshold. Enhanced schooling skills enable quicker records processing and model optimization, leading to progressed AI performance in actual-time applications. This shift helps numerous sectors, such as healthcare, finance, and self-sufficient systems, ride the call for efficient Edge AI solutions.
In the Edge AI Chips market, the rapidly growing sector is Inference. The inference phase is propelling a boom in the Edge AI chips marketplace, driven by the need for real-time decision-making in various packages. Edge AI chips allow brief and efficient processing of data regionally, facilitating immediate insights and actions in clever gadgets, self sufficient motors, and industrial automation. This capability enhances overall performance, reduces latency, and helps the growing call for wise-edge answers across industries.
Senior Research Analyst at Cognitive Market Research
ResearchGate Profile: https://www.researchgate.net/profile/Kalyani-Raje
An optimistic Senior Research Analyst with years of experience in competitive assessment and business consulting. A seasoned professional and subject-matter expert (SME) in the Automobile and transportation vertical.
With a work experience of over 10+ years in the market research and strategy development. I have worked with diverse industries, including FMCG, IT, Telecom, Automotive, Electronics and many others. I also work closely with other departments such as sales, product development, and marketing to understand customer needs and preferences, and develop strategies to meet those needs.
I am committed to staying ahead in the rapidly evolving field of research and analysis. This involves regularly attending conferences, participating in webinars, and pursuing additional certifications to enhance my skill set. I played a crucial role in conducting market research and competitive analysis. I have a proven track record of distilling complex datasets into clear, concise reports that have guided key business initiatives. Collaborating closely with multidisciplinary teams, I contributed to the development of innovative solutions grounded in thorough research and analysis.
Conclusion
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Disclaimer:
Processor | CPU, GPU, ASIC, Others |
Device Type | Consumer Devices, Enterprise Devices |
Function | Training, Inference |
List of Competitors | NVIDIA Corporation (U.S.), Alphabet, Inc. (U.S.), Microsoft Corporation (U.S.), IBM Corporation (U.S.), Amazon.com, Inc. (U.S.), Intel Corporation (U.S.), Synaptics Incorporated (U.S.), ADLINK Technology Inc. (Taiwan), Edge Impulse (U.S.), Viso.ai (Switzerland) |
This chapter will help you gain GLOBAL Market Analysis of Edge AI Chips. Further deep in this chapter, you will be able to review Global Edge AI Chips Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
Chapter 2 North America Market Analysis
Chapter 3 Europe Market Analysis
Chapter 4 Asia Pacific Market Analysis
Chapter 5 South America Market Analysis
Chapter 6 Middle East and Africa Market Analysis
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Chapter 7 Top 10 Countries Analysis (Only Available with Corporate User License)
Competitor's Market Share and Revenue (Subject to Data Availability for Private Players)
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Processor Analysis 2019 -2031, will provide market size split by Processor. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Processor Analysis 2019 -2031
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Chapter 11 Market Split by Device Type Analysis 2019 -2031
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Chapter 12 Market Split by Function Analysis 2019 -2031
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global Edge AI Chips market
Chapter 13 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Why CPU have a significant impact on Edge AI Chips market? |
What are the key factors affecting the CPU and GPU of Edge AI Chips Market? |
What is the CAGR/Growth Rate of Consumer Devices during the forecast period? |
By type, which segment accounted for largest share of the global Edge AI Chips Market? |
Which region is expected to dominate the global Edge AI Chips Market within the forecast period? |
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