Report Code: A16569 | Jun 2022 | Pages: 284 | ||
Tables: 150 | Charts: 67 |
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The global edge AI processor market was valued at $2.5 billion in 2021, and is projected to reach $9.6 billion by 2030, growing at a CAGR of 16% from 2022 to 2030.
COVID-19 pandemic is expected to have a positive impact on global edge AL processor market share growth. Organizations will need to reap the benefits of every technological advantage available to them as they adjust to operating in the unknown territory created by the COVID-19 pandemic. The combination of edge computing, 5G, and AI will provide them with the opportunities they require to be market responsive and thrive in the face of disruption.
Edge AI is a hybrid of artificial intelligence and edge computing. Locally, AI algorithms are processed, either on the device itself or on a server nearby. AI processors 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 industry.
Edge AI offers many benefits and advantages which is a prime reason for edge AI processor market growth. Aside from operational timeliness, Edge has a number of other benefits, such as energy efficiency. Less data is transferred to and from the cloud as more data is processed at the Edge, resulting in lower data latency and energy usage. According to the IBV, over half of enterprises plan to adopt edge computing solutions for energy efficiency management in the coming years. Edge computing is expected to lower annual power consumption by up to 11.5% across industries in the coming years, with telecommunications and electronics businesses seeing the highest drop. AR/VR, cloud gaming, and Industry 4.0 are all examples of emerging technologies. These and a few of other new use cases have one thing in common: they all necessitate artificial intelligence at the edge (AI). Such advantages are anticipated to generate huge edge AI processor market share growth in the forecast time period.
The report highlights different factors that impact the growth of the global edge AI processor industry such as key drivers, restraints, growth opportunities, and the role of different key players.
Global Edge AI Processor Market Segmentation
The global Edge AI processor industry is segmented on the basis of type, device type, and end-use. By type, the market is classified into central processing unit (CPU), graphics processing unit (GPU), and application specific integrated circuit (ASIC). By device type, the analysis has been divided into consumer devices and enterprise devices. By end-use the market is further divided into automotive & transportation, healthcare, consumer electronics, retail & ecommerce, manufacturing, and others. By region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
Segment Review
By type, the application specific integrated circuit sub-segment is predicted to be fastest growing sub-segment, with revenues exceeding $1652.0 million by 2030, up from $395.3 million in 2021. Application specific integrated circuits enable the establishment of complete mechanisms on a single chip, which is likely to boost the growth of application specific integrated circuits. This factor is expected to boost the edge AI processor market share growth in anticipated time frame.
By device type, consumer devices sub-segment was the dominating sub-segment in 2021. This is attributed to its benefits, such as energy efficiency. As more data is processed at the Edge, less data is transferred to and from the cloud, resulting in reduced data latency and energy use. According to the IBV, more than half of organizations plan to use Edge computing applications for energy efficiency management in the coming years. This is one of the reasons for the growth of the Edge AI processor market size.
By end-use, the healthcare sub-segment is anticipated to have the fastest growth during the forecast period. Edge computing and analytics will only become more important as they open up new ways to improve operational, clinical, and financial value across the care continuum. The expanding number of medical devices being brought into the healthcare sector will drive demand for Edge AI processors. Tablets and wearables are among them, as are health monitors and AI-powered imaging systems. These factors would be responsible for the growth of the Edge AI processor industy.
y region, North America dominated the global Edge AI processor market in 2021 and is forecasted to remain the dominant region during the forecast period. This is attributed to numerous factors such as largest production of Edge AI processors in US and Canada and wide consumer base. These factors are likely to generate huge edge AI processor market size growth in the coming few years.
The key players profiled in this report include 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.
IMPACT OF COVID-19 ON THE GLOBAL EDGE AI PROCESSOR MARKET
Key Benefits For Stakeholders
Edge AI Processor Market Report Highlights
Aspects | Details |
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By Type |
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By Device Type |
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By End Use |
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By Region |
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Key Market Players | Alphabet Inc., HiSilicon(Shanghai) Technologies Co Limited, Apple Inc., Mythic, Qualcomm Technologies, Inc., Arm Limited, Advanced Micro Devices, Inc., NVIDIA Corporation, Intel Corporation, Samsung Electronics Co Ltd |
According to the analysts of the leading companies, the global Edge AI processor market possesses a substantial scope for growth in the future. Continuous increase in the application of Edge AI processors in healthcare industry is expected to drive the global edge AI processor market. Edge computing and analytics will only grow in importance as they provide new opportunities to increase operational, clinical, and financial value across the care continuum. The demand in the edge AI processor market will grow due to the growing number of medical devices being introduced into the healthcare sector. These include everything from tablets and wearables to health monitors and AI-powered imaging systems. However, shortage of skilled professionals is a major limitation to its growth. Artificial intelligence (AI) is becoming more widely used; recent improvements in education, healthcare, marketing, telecommunications, transportation, consumer electronics, and a variety of other fields 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. According to the CXOs, Asia-Pacific is projected to register faster growth as compared to North American and European markets.
A. Rapid expansion of electrical industry in the Edge AI processor sector, along with growing demand for AI mobile processors power computational imaging applications in drones, wearable electronics, robots, and self-driving cars, may create lucrative opportunities for the market
A. Edge AI Processor Market is widely used in industries like electronics, retail and e commerce and automotive industries.
A. North America is the largest regional market for Edge AI Processor market.
A. The global Edge AI processor market was valued at $2483.7 million in 2021 and is projected to reach $9566.3 million by 2030, growing at a CAGR of 16.0% from 2022 to 2030.
A. 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. are the leading market players active in the Edge AI processor market.
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