Edge AI Processor Market Report
Edge AI Processor Market by Type (Central Processing Unit (CPU), Graphics Processing Unit (GPU), and Application Specific Integrated Circuit (ASIC)), Device Type (Consumer Devices and Enterprise Devices), End-use (Automotive & Transportation, Healthcare, Consumer Electronics, Retail & Ecommerce, Manufacturing, and Others), and Regional Analysis (North America, Europe, Asia-Pacific, and LAMEA): Global Opportunity Analysis and Industry Forecast, 2022-2030
Global Edge AI Processor Market Analysis
The global Edge AI processor market size is predicted to garner a revenue of $9,566.30 million in the 2022–2030 timeframe, growing from $2,483.70 million in 2021, at a healthy CAGR of 16.0%.
The Edge AI processor market is predicted to grow at an exponential rate in coming years as machine learning methods take use of data created by the system and process that on the device. Real-time automatic decision-making is possible due to the minimal latency. Edge AI provides real-time activities such as huge data processing, training, and forecasting to applications that need to evaluate information in real time. Between detecting a probable collision and making steering or braking changes, autonomous vehicles (AVs) have a small period of time. An IoT device sends a vast amount of data to a cloud that performs machine learning (ML) algorithms and returns the findings to the device, causing a delay in response. Data sharing is reduced with on-device AI, allowing for faster replies. All such factors drive the global edge AI processor market.
However, pre-trained machine learning models for edge AI are currently in use for inference. Users are given to pre-trained models that automatically fine-tune data produced by them. Training a model takes a lot of computer power, and edge AI is more vulnerable to uncertainty since it has limited access to training data, which may lead to hinder the global edge AI processor market, in the forecast period.
Growing electronics industry to fuel the growth of the market owing to artificial intelligence (AI) becoming more widely employed, with AI playing a vital role in recent advancements in educational, medical, sales, communications, infrastructure, electronic goods, and a variety of other industries. Moreover, spoken assistants such as Google Home, Siri, and Alexa allow users to control their home appliances with a single voice command. Voice assistant equipment will be integrated into consumer items such as speakers and headphones, resulting in a positive market projection. Furthermore, numerous consumer companies are driving the sector with product updates and new product releases in order to improve the sector's performance. Such developments and innovations in the industries are further expected create enormous opportunities for the global industry, in the coming years.
According to the regional analysis of the market, Asia-Pacific edge AI processor market is anticipated to grow at a CAGR of 16.8%, by generating a revenue of $3,089.00 million in 2030. Because of increased consumer expenditure and demand for consumer gadgets, this is the case. Smartphones, smart wearable, and other electronic devices are in high demand particularly in China, India, and South Korea, fueling the growth of Asia-Pacific edge AI processor market, during the analysis period.
Edge AI Processor Overview
Edge AI is a hybrid of artificial intelligence and edge computing. Edge computing refers to the set of techniques for collecting, interpreting, and data processing at the network's edge. This means that the computer computational power and data storage are both positioned near the data collection. What does it mean to have been at the edge of a network? It may be a phone, an Internet of things, a self-driving car, or even a cell tower, depending on the application. Artificial intelligence is when a machine imitates human cognition, such as language comprehension and problem solving. Advanced analytics (often based on machine learning) combined with automation is what artificial intelligence is. Locally, AI algorithms are processed, either on the device itself or on a server nearby. AI processor are specialized chips that combine artificial intelligence (AI) and machine learning to make mobile devices smart enough to mimic the human brain. Deep learning AI workloads are optimized with AI chips. Rising demand and adoption of artificial intelligence products and services are creating lucrative growth opportunities in the edge AI processor market.
COVID-19 Impact on Edge AI Processor Market
COVID-19's impact on businesses is redefining business models. The new coronavirus has an impact on every organization. Organizations are attempting to restructure their supply chains in order to create a safe working environment. Organizations all over the world are implementing appropriate measures to limit pandemic risks, such as remote working capabilities, remote asset maintenance & monitoring, plant automation, and tele-health. The transition from computers to the cloud to the edge has proven to be quite beneficial to the healthcare industry. Many hospitals and pharmaceutical companies have begun to embrace edge AI. Despite the fact that the technology is not new, research indicates that there will be numerous ways for the healthcare sector to incorporate edge IoT and Edge AI into their daily operations in the coming years. The healthcare sector is projected to have a significant beneficial influence, as companies realize the value of edge AI in combatting the virus's effects. As a result, financing and research to keep organizations safe and secure across the value chain have expanded.
Moreover, every business has been harmed as the world braces for the ongoing damage of the COVID-19 outbreak. Organizations all across the world are implementing remote working capabilities, remote asset maintenance & monitoring, plant automation, and telemedicine to lessen pandemic risks. Companies are beginning to see the value of edge AI hardware in combatting COVID-19, which has had a significant positive impact on the healthcare industry.
Increasing Use of On-device AI Processor for Image Analysis is one of the Major Factors of the Growth of the Market
AI mobile processor power computational imaging applications in drones, wearable electronics, robots, and self-driving cars. The use of AI-based vision processing units (VPU) can assist drones in making better decisions and reducing the risk of accidents, which will contribute to the growing demand for industrial and personal drones. Computational imaging and visual awareness applications improve mobile devices by replacing complex optics with simpler lens assemblies and multiple apertures; combining images captured by heterogeneous sensors such as infrared (IR) and depth sensors RGB (red, green, and blue), and extracting contextual metadata from still images and video streams. These factors enable the use of VPUs in mobile handsets, tablets, wearable devices, and personal robots for a wide range of new application areas and use cases (previously limited to desktops and workstations). VPU-enabled surveillance cameras enable real-time data processing in cameras rather than the cloud, lowering the risk of data hacking and enabling faster processing.
Furthermore, data generated by the device is gathered and analyzed by algorithms at the AI's edge. This system has high throughput and enables real-time ability for self. Edge AI enables real-time data production, learning, and inference, which is advantageous for real-time data analysis, which may further be projected to drive the global market, during the forecast period.
To know more about global edge AI processor market trends, get in touch with our analysts here.
Shortage of Skilled Professionals can Hinder the Growth of the Market
Although the fields of AI and machine learning are progressing, there is still a significant lack of diversity in the industry in terms of education, gender, ethnicity, experience, and other relevant parameters. Moreover, the worldwide edge AI sector is constrained by power consumption and size constraints. High cost of the technologies and low adoption rate of edge AI technologies in the developing regions can hinder the growth of the market.
Growing Electronics Industry to Fuel the Growth of the Market
Artificial intelligence (AI) is becoming more widely used; recent improvements in education, healthcare, marketing, telecommunications, transportation, consumer electronics, and a variety of other fields all have AI as a key. The value that AI solutions bring to customers can be used to gauge their success in the consumer electronic (CE) market. For example, an automatic recommendation of the greatest music playlist depending on the consumer's current mood can help businesses add value to their offers and boost their chances of keeping customers. Using this type of notion in specific goods can help a CE company stay ahead of the pack and capture a sizable market share. Intel and Udacity launched their new Intel® Edge AI for IoT Developers Nanodegree program in April 2020, which would train developers in deep learning and computer vision.
Furthermore, role of edge AI in the healthcare industry will accelerate the global market. The ability to automate processes is one of AI's distinctive selling points in general. AI algorithms may collect data from a variety of sensors and analyze it to choose the best course of action. This is taken to the next level with edge AI. It provides autonomous monitoring of hospital rooms and patients using computer vision and data from other sensors. Additionally, consider the case of fall detection. Many wearables now include the capacity to detect if a person falls suddenly by utilizing specific technology. These gadgets' edge AI can be trained to detect falls in real time and even notify caretakers. All such factors in edge AI processor business and its wide variety of applications might bring new opportunities in the market.
To know more about global edge AI processor market opportunities, get in touch with our analysts here.
Global Edge AI Processor Market, by Type
Based on type, the market has been divided into central processing unit (CPU), graphics processing unit (GPU), and application specific integrated circuit (ASIC). Central processing unit sub-segment accounted for the highest revenue share in 2021 in the forecast period.
Global Edge AI Processor Market Share, By Type, 2021
Source: Research Dive Analysis
In 2021, the global central processing unit sub-segment was worth more than $1,215.3 million. Increased IoT adoption is expected to connect billions of new devices, necessitating greater computing efficiencies and speed. Integrations of field programmable gate array (FPGAs) and CPUs for high performance supercomputing or computing applications are also expected to fuel the PC processor market in the near future. Edge computing can help with data security and privacy issues, in addition to reducing latency and allowing for more immediate analytics. Businesses can decrease the burden of having all data in a central location by dispersing computer resources to remote facilities. It also means that less data is sent over the internet. Businesses can also meet compliance and privacy concerns in some regulated industries by not transferring sensitive data across borders. Another important benefit for businesses is that edge computing can save money by reducing bandwidth usage. An organization can ensure that it only pays to transmit and store its necessary, important data by processing data at the edge, while discarding its low-value data.
Global Edge AI Processor Market, by Device Type
Based on device type, the analysis has been divided into consumer devices and enterprise devices. Out of these, consumer devices sub-segment is predicted to be the most dominant and enterprise devices is anticipated to show the fastest growth during the forecast period.
Global Edge AI Processor Market Share, By Device Type, 2021
Source: Research Dive Analysis
The consumer devices edge AI processor is anticipated have dominant share during the forecast period and generate a revenue of $7,009.8 million by 2030, growing from $1,844.4 million in 2021, with a CAGR of 15.8%. Surveillance cameras, smart speakers, wearable, gaming consoles, AR-VR headsets, drones, and home automation robots, all use edge AI. The demand for the consumer devices edge AI processor will grow rapidly owing to the growing importance of home automation and consumer devices among device manufacturers as 5G networks and edge AI hardware advance, expanding the market for AI-enabled devices. The rise of IoT and the use of smart technologies by consumer devices and automobiles, among many other industries, are propelling the edge AI processor business ahead. Edge AI processor with the on analytics will broaden the scope of the edge AI processor business. AMD, Lattice, NVIDIA, Google, Xilinx, and Intel are a few edge computer platform vendors for cognitive AI application design. Machine learning, computer vision, character recognition, AI chip accelerators, neural networks, natural language processing, and other emerging technologies open up totally new horizons of possibilities. Businesses are rapidly adopting a decentralized computer architecture, and they are coming up with new ways to employ this technology to enhance productivity.
Global Edge AI Processor Market, by End-use
Based on end-use, the market is further sub-segmented into automotive & transportation, healthcare, consumer electronics, retail & ecommerce, manufacturing, and others. Among these, consumer electronics sub-segment is predicted to be the most dominant sub-segment and healthcare sub-segment is anticipated to have the fastest growth during the forecast period.
Global Edge AI Processor Market Share, By End-use, 2021
Source: Research Dive Analysis
The consumer electronics edge AI processor sub-segment is anticipated have dominant share during the forecast period and generate a revenue of $2,414.9 million by 2030, growing from $660.2 million in 2021, with a CAGR of 15.4%. Consumer electronics holds a major share of the edge AI processor market in terms of volume. This is because consumer spending and demand for consumer electronics are increasing. Smartphones, smart wearables, and other devices are becoming increasingly popular. Furthermore, the development of new use cases for edge AI could lead to rapid growth in the consumer electronics sub-segment of the edge AI processor market. Additionally, importance of video surveillance systems as a result of increased security concerns across sectors such as retail, enterprises, and banks & financial institutes is driving the commercial video surveillance market, which will ultimately drive the sub-segment growth. The business sector has experienced a surge in demand for security solutions as a result of security breaches such as inventory loss, robbery, unlawful access, and other criminal activities. The rapid growth of small businesses, as well as retail outlets and malls has increased the demand for surveillance systems and ultimately consumer electronics edge AI processor.
Global Edge AI Processor Market, Regional Insights:
The edge AI processor market was inspected across North America, Europe, Asia-Pacific, and LAMEA.
Global Edge AI Processor Market Size & Forecast, By Region, 2021-2030 (USD Million)
Source: Research Dive Analysis
The Market for Edge AI processor in North America to Hold Maximum Revenue
The North America edge AI processor market in 2021 was $974.90 million and anticipated to generate $3,688.80 million in 2030, with CAGR 15.8%. Because of the widespread adoption of industrial automation and robotics in the manufacturing sector, the North American edge AI processor market is gaining traction. Several regional manufacturing industries are focusing on integrating industrial robots and robotic arms into plant facilities in order to increase production while decreasing reliance on labor. Edge AI processors are required for robotic process automation, speech recognition, and computer vision applications in this automated machinery. According to the World Robotics 2019 report, North America accounted for 55,212 industrial robot installations in 2018, representing a 20% year-on-year increase. Moreover, North America accounted for the biggest share in 2019 due to the significant presence of US-based tech giants such as NVIDIA, Google, Microsoft, Intel Corporation, Xilinx, and Qualcomm Technologies in the region. Governments in the North American region are putting more emphasis on creating AI applications in-house and continue to invest in AI-related technologies. According to the National AI R&D Strategic Plan, the US government raised core AI R&D funding by USD 25 billion in December 2019. The purpose of this strategic effort is to make high-quality cyber infrastructure more accessible. In the field of edge AI computing, the majority of the tech behemoths are based in the United States. Furthermore, several start-ups, such as Cerebras Systems, a company based in the United States, are concentrating on building software. A significant increase in industrial robot adoption in North America will create new growth opportunities in the edge AI processor market.
Competitive Scenario in the Global Edge AI Processor Market
Product launches and mergers & acquisitions are common strategies followed by major market players.
Source: Research Dive Analysis
Some of the leading Edge AI processor market players are Intel Corporation, Advanced Micro Devices, Inc., Alphabet Inc.; Intel Corporation, Qualcomm Technologies, Inc., Apple Inc, Mythic Ltd., Arm Limited, Samsung Electronics Co., Ltd., NVIDIA Corporation, and HiSilicon (Shanghai) Technologies CO LIMITED.
Historical Market Estimations
Base Year for Market Estimation
Forecast Timeline for Market Projection
North America, Europe, Asia-Pacific, LAMEA
Segmentation by Type
Segmentation by Device Type
Segmentation by End-use
Key Companies Profiled
Q1. What is the size of the global edge AI processor market?
A. The size of the global Edge AI processor market was over $9,566.3 million in the year 2030, growing from $2,483.7 million in 2021.
Q2. Which are the major companies in the edge AI processor market?
A. Intel Corporation and Advanced Micro Devices, Inc., are some of the key players in the global Edge AI processor market.
Q3. Which region, among others, possesses greater investment opportunities in the near future?
A. The APAC region possesses great investment opportunities for investors to witness the most promising growth in the future.
Q4. What will be the growth rate of the Asia-Pacific edge AI processor market?
A. Asia-Pacific edge AI processor market is anticipated to grow at 16.8% CAGR during the forecast period.
Q5. What are the strategies opted by the leading players in this market?
A. New product development and strategic partnerships are the key strategies opted by the operating companies in this market.
Q6. Which industries are expected to drive the growth of the edge AI processor market in the next 5 years?
A. Healthcare edge AI processor is expected to drive the growth of the edge AI processor market in the next 5 years.
1. Research Methodology
1.2.Real time insights and validation
1.4.Assumptions and forecast parameters
2. Executive Summary
2.3.By Type trends
3. Market overview
3.1.Market segmentation & definitions
3.2.1.Top investment pockets
3.2.2.Top winning strategies
3.3.Porter’s five forces analysis
3.3.1.Bargaining power of consumers
3.3.2.Bargaining power of suppliers
3.3.3.Threat of new entrants
3.3.4.Threat of substitutes
3.3.5.Competitive rivalry in the market
3.8.Market value chain analysis
3.8.1.Stress point analysis
3.8.2.Raw material analysis
3.8.4.Sales Channel analysis
184.108.40.206.Raw material suppliers
4. Edge AI Processor Market, by Type
4.1.1.Market size and forecast, by Type
4.2.Central Processing Unit (CPU)
4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast, by region, 2022-2030
4.2.3.Market share analysis, by country 2022 & 2030
4.3.Graphics Processing Unit (GPU)
4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast, by region, 2022-2030
4.3.3.Market share analysis, by country 2022 & 2030
4.4.Application Specific Integrated Circuit (ASIC)
4.4.1.Key market trends, growth factors, and opportunities
4.4.2.Market size and forecast, by region, 2022-2030
4.4.3.Market share analysis, by country 2022 & 2030
5. Edge AI Processor Market, by Device Type
5.1.1.Market size and forecast, by Sales Channel
5.2.1.Key market trends, growth factors, and opportunities
5.2.2.Market size and forecast, by region, 2022-2030
5.2.3.Market share analysis, by country 2022 & 2030
5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast, by region, 2022-2030
5.3.3.Market share analysis, by country 2022 & 2030
6. Edge AI Processor Market, by End Use
6.1.1.Market size and forecast, by Sales Channel
6.2.Automotive and Transportation
6.2.1.Key market trends, growth factors, and opportunities
6.2.2.Market size and forecast, by region, 2022-2030
6.2.3.Market share analysis, by country 2022 & 2030
6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast, by region, 2022-2030
6.3.3.Market share analysis, by country 2022 & 2030
6.4.1.Key market trends, growth factors, and opportunities
6.4.2.Market size and forecast, by region, 2022-2030
6.4.3.Market share analysis, by country 2022 & 2030
6.5.Retail and Ecommerce
6.5.1.Key market trends, growth factors, and opportunities
6.5.2.Market size and forecast, by region, 2022-2030
6.5.3.Market share analysis, by country 2022 & 2030
6.6.1.Key market trends, growth factors, and opportunities
6.6.2.Market size and forecast, by region, 2022-2030
6.6.3.Market share analysis, by country 2022 & 2030
6.7.1.Key market trends, growth factors, and opportunities
6.7.2.Market size and forecast, by region, 2022-2030
6.7.3.Market share analysis, by country 2022 & 2030
7. Edge AI Processor Market, by Region
7.1.1.Market size and forecast, by region
7.2.1.Key market trends, growth factors, and opportunities
7.2.2.Market size and forecast, by Type, 2022-2030
7.2.3.Market size and forecast, by Device Type , 2022-2030
7.2.4.Market size and forecast, by country, 2022-2030
220.127.116.11.Market size and forecast, by Type, 2022-2030
7.2.6.Market size and forecast, by Device Type , 2022-2030
18.104.22.168.Market size and forecast, by Type, 2022-2030
7.2.8.Market size and forecast, by Device Type , 2022-2030
7.2.10.Market size and forecast, by Device Type , 2022-2030
7.3.1.Key market trends, growth factors, and opportunities
7.3.2.Market size and forecast, by Type, 2022-2030
7.3.3.Market size and forecast, by Device Type , 2022-2030
7.3.4.Market size and forecast, by country, 2022-2030
22.214.171.124.Market size and forecast, by Type, 2022-2030
7.3.6.Market size and forecast, by Device Type , 2022-2030
126.96.36.199.Market size and forecast, by Type, 2022-2030
188.8.131.52.Market size and forecast, by Device Type , 2022-2030
184.108.40.206.Market size and forecast, by Type, 2022-2030
220.127.116.11.Market size and forecast, by Device Type , 2022-2030
18.104.22.168.Market size and forecast, by Type, 2020-2028
22.214.171.124.Market size and forecast, by Device Type , 2020-2028
126.96.36.199.Market size and forecast, by Type, 2022-2030
188.8.131.52.Market size and forecast, by Device Type , 2020-2028
7.3.11.Rest of Europe
184.108.40.206.Market size and forecast, by Type, 2022-2030
220.127.116.11.Market size and forecast, by Device Type , 2022-2030
7.4.1.Key market trends, growth factors, and opportunities
7.4.2.Market size and forecast, by Type, 2022-2030
7.4.3.Market size and forecast, by Device Type , 2022-2030
7.4.4.Market size and forecast, by country, 2022-2030
18.104.22.168.Market size and forecast, by Type, 2022-2030
22.214.171.124.Market size and forecast, by Device Type , 2022-2030
126.96.36.199.Market size and forecast, by Type, 2022-2030
188.8.131.52.Market size and forecast, by Device Type , 2022-2030
184.108.40.206.Market size and forecast, by Type, 2022-2030
220.127.116.11.Market size and forecast, by Device Type , 2022-2030
18.104.22.168.Market size and forecast, by Type, 2022-2030
22.214.171.124.Market size and forecast, by Device Type , 2022-2030
126.96.36.199.Market size and forecast, by Type, 2020 2028
188.8.131.52.Market size and forecast, by Device Type , 2022-2030
184.108.40.206.Comparative market share analysis, 2022 & 2030
7.4.10.Rest of Asia Pacific
220.127.116.11.Market size and forecast, by Type, 2022-2030
18.104.22.168.Market size and forecast, by Device Type , 2022-2030
7.5.1.Key market trends, growth factors, and opportunities
7.5.2.Market size and forecast, by Type, 2022-2030
22.214.171.124.Market size and forecast, by Device Type , 2022-2030
7.5.3.Market size and forecast, by country, 2022-2030
126.96.36.199.Market size and forecast, by Type, 2022-2030
188.8.131.52.Market size and forecast, by Device Type , 2022-2030
184.108.40.206.Market size and forecast, by Type, 2022-2030
220.127.116.11.Market size and forecast, by Device Type , 2022-2030
18.104.22.168.Market size and forecast, by Type, 2022-2030
22.214.171.124.Market size and forecast, by Device Type , 2022-2030
8. Company profiles
8.1.2.Operating business segments
8.1.5.Recent strategic moves & developments
8.2. Advanced Micro Devices, Inc.
8.2.2.Operating business segments
8.2.5.Recent strategic moves & developments
8.3.2.Operating business segments
8.3.5.Recent strategic moves & developments
8.4. Qualcomm Technologies, Inc.
8.4.2.Operating business segments
8.4.5.Recent strategic moves & developments
8.5.2.Operating business segments
8.5.5.Recent strategic moves & developments
8.6.2.Operating business segments
8.6.5.Recent strategic moves & developments
8.7.2.Operating business segments
8.7.5.Recent strategic moves & developments
8.8. Samsung Electronics Co., Ltd.
8.8.2.Operating business segments
8.8.5.Recent strategic moves & developments
8.9.2.Operating business segments
8.9.5.Recent strategic moves & developments
8.10.HiSilicon(Shanghai) Technologies CO LIMITED.
8.10.2.Operating business segments
8.10.5.Recent strategic moves & developments
Edge Al is an advanced type of device used to process and power artificial intelligence-based robots and devices. This equipment is used to improve and integrate artificial intelligence (AI) processing by data processing in the device itself. Edge AI processors are type of microprocessors which are specially designed to accelerate embedded AI applications on edge devices. These processors are required in modern devices, such as smartphones, smart speakers, laptops, self-driven cars, drones, robots, and video analytics devices like surveillance cameras.
The edge AI processor moves the workflow to the device that cuts the traveling time for the data via long routes, which is very helpful for companies to analyze the data based on real-time or in less time. Edge AI makes data processing secure and boosts decision-making, with trustworthy real-time performance. They ensure safety and efficiency in autonomous driving, telecommunications, manufacturing sites, and in public spaces, which is predicted to drive the growth of the edge AI processor market in the near future.
COVID-19 Impact on Edge AI Processor Market
The outbreak of COVID-19 across the globe has significantly impacted the global edge AI processor market growth. A high positive impact has been observed in the industrial vertical, as firms have started to realize the potential of edge AI chips in fighting the impact of COVID-19. Advanced technologies such as AI gain a robust grip on the industrial spectrum as the world becomes more interconnected. The coronavirus pandemic imposed new health and safety standards, changing how people interact with one another. The growing demand for touch-free experiences has fast-tracked the shift towards voice-based control, AI-powered systems, and other contactless user interfaces. All these factors are impacting the edge AI processor market during the pandemic period.
Edge AI Processor Market Trends and Developments
The companies operating in the global industry are adopting several growth strategies and business tactics such as partnerships, collaboration, business expansion, and product launches to obtain a leading position in the global industry, which is predicted to drive the global edge AI processor market growth in the upcoming years.
For instance, in May 2019, Kneron, a leading provider of full stack edge AI solutions, unveiled edge AI chip KL520 and 3D artificial intelligence solution with an idea to provide AI solutions for the smart surveillance, smart home, smartphones, drones, robots, and IoT devices.
In November 2021, Kontron, a leading provider of IoT/Embedded Computing Technology (ECT) worldwide, entered into a strategic technology partnership with Hailo, the leading AI chipmaker, to offer next generation AI edge inference solutions. Hailo-8 AI processor is an advanced edge AI processor that performs at 26 TOPS (tera-operations per second). The strategic partnership offers customers a new level of high-performance, accessible AI-edge application-ready platforms for an extensive range of market segments such as smart cities, Industry 4.0, smart retail and more.
In March 2022, Axiomtek, a global leader relentlessly devoted in the R&D and manufacturing of reliable and innovative industrial computer products of high efficiency, entered into a partnership with the leasing AI chipmaker, Hailo, and launched a new compact fanless edge AI computer, the Aristotle (RSC101) that supports the Hailo-8™ edge AI processor.
Forecast Analysis of Global Market
The global edge AI processor market is projected to witness an exponential growth over the forecast period, owing to the swift growth in the electronics industry across the globe and technological advancements by key market players operating in the global market. Conversely, the shortage of skilled professionals is expected to hamper the market growth in the projected timeframe.
The growing usage of on-device AI processors for image analysis and the rising demand for industrial and personal drones are the significant factors and edge AI processor market trends estimated to bolster the growth of the global market in the coming future. According to a latest report published by Research Dive, the global edge AI processor market is expected to garner $9,566.30 million during the forecast period (2022-2030). Regionally, the North America edge AI processor market is estimated to observe lucrative growth by 2028, owing to the widespread adoption of robotics and industrial automation in the manufacturing sector.
The key players functioning in the global market include Intel Corporation, Alphabet Inc., Advanced Micro Devices, Inc., Apple Inc., Qualcomm Technologies, Inc., Mythic Ltd., Samsung Electronics Co., Ltd., Arm Limited, HiSilicon (Shanghai) Technologies CO LIMITED, and NVIDIA Corporation.