New York, NY, April 11, 2023 (GLOBE NEWSWIRE) -- Polaris Market Research has published a new research report titled “Edge AI Hardware Market Share, Size, Trends, Industry Analysis Report, By Device; By Processor (CPU, GPU, ASIC, Others); By Function; By Vertical; By Region; Segment Forecast, 2023 - 2032” in its research database.
“According to the latest research analysis, the global edge AI (Artificial Intelligence) hardware market size/share is anticipated to be valued at approximately USD 1,156.82 Million in 20222 and is projected to hit a revenue of around USD 7,977.31 Million by 2032, at a CAGR of around 21.4% between 2023 and 2032.”
What is Edge AI (Artificial Intelligence) Hardware? How Big is Edge AI (Artificial Intelligence) Hardware Market Size/Share?
- Overview
Edge AI hardware gadgets utilize artificial intelligence and edge computing to operate machine learning functions straight away on linked edge gadgets. The rapidly rising demand for edge AI hardware market can be attributed to its several benefits, such as subordinate data convey volume, tempo for real-time computing, solitude, security, escalated attainability, and cost.
The increasing demand for sparse latency and real-time refining of edge gadgets is pushing the market's growth. Also, decreasing data repository and functional costs will additionally escalate the demand for the market. Additionally, increasing venture tasks on the cloud and establishing several smart applications in the market are anticipated to develop growth during the forecast period.
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(The sample of this report is readily available on request. The report sample contains a brief introduction to the research report, a Table of Contents, a Graphical introduction of regional analysis, Top players in the market with their revenue analysis, and our research methodology.)
Our Sample Report Covers:
- 2032 Updated Report Introduction, Overview, and In-depth industry analysis.
- 115+ Pages Research Report (Inclusion of Updated Research).
- Provide Chapter-wise guidance on Requests.
- 2023 Updated Regional Analysis with Graphical Representation of Size, Share & Trends
- Includes Updated List of tables & figures.
- Updated Report Includes Top Market Players with their Business Strategy, Sales Volume, and Revenue Analysis.
Some of the Top Market Players Are:
- Apple Inc.
- MediaTek
- Qualcomm Technologies
- Huawei Technologies
- Samsung Electronics
- NVIDIA
- Google Corporation
- Microsoft Corporation
- Imagination Technologies
- Cambricon Technologies
- Xilinx Inc.
- Intel Corporation
- Advanced Micro Devices
- IBM Corporation
To Know More Information on Key Players, Request to Download a PDF Report Brochure: https://www.polarismarketresearch.com/industry-analysis/edge-ai-hardware-market/request-for-sample
Key Factors Driving Market Growth
- Conquering the problems of low reliability and high latency to push the market
For edge computing, latency is inherently spectral as this address makes approximately zero segregation between the environment where data is spawned and cultivated. AI cultivates IoT-spawned data to near-end gadgets utilizing ML algorithms to conquer the problems of low reliability and high latency. Edge AI hardware market size is expanding as each millisecond adds up to data convenience; thereby, microseconds instead of milliseconds are utilized to gauge latency.
Smart cities integrate a plethora of systems to reinforce the biological clock of people one step ahead of both qualitative and quantitative methods. These systems appear in several forms involving smart farming, smart buildings, smart energy, smart homes, smart manufacturing, and smart healthcare. Edge AI hardware market sales are soaring as increased people prefer to reside in cities there will be a higher demand for automated services daily.
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Recent Trends Influencing the Market
- Speedy acceptance of IoT, AI, and 5G to drive the market
The market is anticipated to escalate due to the speedily proliferating acceptance of IoT, AI, and 5G technologies covering industrial verticals such as BFSI, government, hospitality, retail, and consumer goods. Also, the rising acquisition of hardware augments the demand for edge AI software in the industry. Additionally, probable zones of industry progression involve the increasing need for edge computing in IoT and specific mainframes for on-device image analytics, the growing requirement for IoT-dependent edge computing solutions, and the growing comprehension of 5G networks to combine IT and telecom.
The demand for AI-authorized gadgets and services is growing with the increasing requirement for edge computing in self-driving cars, contemporary medical gadgets, and robotics, where real-time mechanical machines are becoming crucial.
Segmentation Assessment
- The smartphones segment accounted for the largest market share
Based on devices, the smartphones segment accounted for the largest market share due to escalated combination of edge AI into the variation of contemporary emerging smartphones as it provides many joint advantages and potential to smartphones regarding power productivity, dependability, and imaging and photography are the prominent elements pushing the segment growth. Edge AI hardware market demand is on the rise as the premature acquisition of several AI chips or processors and established technologies in image identification, real-time speech, and voice recognition, together with increasing reach and sales of 5G-dependent smartphones worldwide, will have an affirmative influence on the market in the near future.
- The training segment held the significant market revenue share
Based on function, the training segment held a significant market revenue share. Edge AI hardware market trends include acquiring notable gravity covering a broad gamut of industrial applications involving IT, manufacturing, e-commerce, BFSI, retail, and healthcare. The impacting requirement for application is thorough training as it authorizes machines to assimilate from experience, accomplishing human-like chores and uncomplicated adaptation to contemporary processing together with its several other benefits, including operating huge data speedily.
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Edge AI (Artificial Intelligence) Hardware Market: Report Coverage & Scope
| Report Attribute | Details |
| Revenue Forecast in 2032 | USD 7,977.31 Million |
| Market size value in 2023 | USD 1,396.98 Million |
| Expected CAGR Growth | 21.4% from 2023 – 2032 |
| Base Year | 2022 |
| Forecast Year | 2023 – 2032 |
| Top Market Players | Apple Inc., MediaTek, Qualcomm Technologies, Huawei Technologies, Samsung Electronics, NVIDIA, Google Corporation, Microsoft Corporation, Imagination Technologies, Cambricon Technologies, Xilinx Inc., Intel Corporation, Advanced Micro Devices, and IBM Corporation. |
| Segments Covered | By Device, By Processor, By Vertical, By Region |
| Customization Options | Customized purchase options are available to meet any research needs. Explore customized purchase options |
Geographic Overview
- Strong demand for infiltration cameras to propel the Asia Pacific market
Asia Pacific held the largest edge AI hardware market share due to it being driven by uninterrupted growth in the reach for smartphones and strong demand for infiltration cameras due to the compact regulation on the internet and digital conveyance by governments in APAC countries.
North America dominated the global market as it was noted that there was high latency because of network clogging, notable reliance on IoTs, the requirement for speedier device processing, and the acquisition of edge AI in the US and Canada are central factors pushing the market growth in the region.
Browse the Detail Report “Edge AI Hardware Market Share, Size, Trends, Industry Analysis Report, By Device; By Processor (CPU, GPU, ASIC, Others); By Function; By Vertical; By Region; Segment Forecast, 2023 - 2032” with in-depth TOC: https://www.polarismarketresearch.com/industry-analysis/edge-ai-hardware-market
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Recent developments
- In May 2022, Intel's Habana Labs announced the launch of its new second-generation AI deep learning processors for training and inferencing. The newly developed processors come with high-performance and high-efficiency deep learning choices across data centers while lowering the entry barriers for new and small-size companies.
The Research Addresses Several Questions
- Which important factors are accountable for the robust growth of the market?
- Which are the major players operating in the market across the globe?
- Which product segment of the market is expected to grow at a fast pace over the forecast period?
- What is the position of the competitive scenario of the market?
- What are the estimated figures related to the overall market in the coming few years?
- What is the projected size and share of the market throughout the forecast period?
- Which are the leading geographical segments of the market?
Polaris Market Research has segmented the edge AI software market report based on device, function, vertical, and region:
By Device Outlook
- Smartphones
- Surveillance Cameras
- Robots
- Wearable
- Edge Servers
- Smart Speakers
- Automotive
- Smart Mirrors
By Processor Outlook
- CPU
- GPU
- ASIC
- Others
By Function Outlook
- Training
- Inference
By Vertical Outlook
- Consumer Electronics
- Smart Home
- Automotive & Transportation
- Government
- Healthcare
- Industrial
- Aerospace & Defense
- Construction
- Others
By Region Outlook
- North America (U.S., Canada)
- Europe (France, Germany, UK, Italy, Netherlands, Spain, Russia)
- Asia Pacific (Japan, China, India, Malaysia, Indonesia, South Korea)
- Latin America (Brazil, Mexico, Argentina)
- Middle East & Africa (Saudi Arabia, UAE, Israel, South Africa)
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