The Edge AI Hardware Market Size was valued at USD 1.27 Billion in 2023, It is estimated to reach USD 6.90 Billion by 2032, growing at a CAGR of 20.7% over the forecast period from 2024 to 2032.
Driven by the increasing demand for real-time data processing for Edge AI applications across various verticals, the Edge AI hardware market camera is growing rapidly. Increasing number of IoT devices across healthcare, manufacturing, and agriculture is propelling the demand for powerful artificial intelligence hardware at the edge to locally conduct intensive data loads.
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The shift makes them less dependent on cloud infrastructure that means quicker decision making which helps them run their operations faster. Moreover, the increasing popularity of virtual reality (VR) applications demanding ultra-low latency for realizable experiences is driving the market forward. Edge AI hardware enables real-time processing on-device, eliminating lag and latency that impacts virtual reality, gaming, simulations and training programs. The expansion of the market is also driven by the media, and entertainment industries, as streaming platforms including Netflix, YouTube, and Amazon Prime Video utilize Edge AI for efficient low-latency, and high-quality, content delivery. Moreover, real-time high-definition video editing, upscaling, and AI-based video compression on edge devices further improve user experiences, especially in the case of live streaming. Nevertheless, many hurdles exist in the market as specialized hardware components (GPUs, TPUs, and other processors) can be pricey in terms of capital expense and are nearly always replete with up-front costs for AI inference along with real-time data processing. Such overheads can inhibit adoption, particularly for smaller companies, and sectors harnessing limited budgets.
Drivers
Incredible Growth of Edge AI Hardware Market Driven by Low-Latency Demand in Virtual Reality
Low-latency performance is essential for VR applications, and this is one of the key factors propelling the Edge AI hardware market, says the report. VR demands ultra-low latency to deliver seamless and immersive user experiences Edge AI hardware has made a huge leap forward. For example, VR apps like gaming, simulations, and training programs need to process data instantly to prevent it from lagging behind reality and ruining the feeling of presence and immersion. Edge AI allows processing on the device rather than needing to transfer data to and from the cloud, allowing localized decision-making, reducing latency providing a low-latency environment that is something that VR applications need to deliver. Continued advances in AI chips, processors, and GPUs are essential for VR technologies, as manufacturers are increasingly implementing Edge AI to reduce latencies for immersive VR experiences. Besides VR, this demand for real-time performance is also shaping the way other industries like autonomous vehicles, robotics, and healthcare are adopting Edge AI hardware; enabling their operations to achieve the desired rapid accuracy and efficiency of data processing. Having the possibility to execute many data from the edge, without relying on faraway data centers, brought economical solutions to many markets.
Restraints
The significant upfront costs associated with edge AI hardware continue to be a major obstacle to its market expansion.
Massive investments are required in high-performance AI chips, processors, GPUs, TPUs and edge servers, stifling the adoption of the technologies by SMEs or budget-restricted segments of an economy. Adding further to the costs, edge AI applications require their own near computer powerful (and often proprietary) hardware & setup. Barriers to entry: As demand for AI-powered solutions continues to rise, many potential users are dissuaded from purchasing this hardware and the support infrastructure to run it because it's too expensive. According to the reports, massive investment necessary for hardcore edge AI systems in hardware (AI servers, edge computing devices, etc.) can be prohibitively expensive, especially with ongoing maintenance costs, software updates, and power consumption. Adding to the difficulties for companies is that they face no-standard nor transparent pricing. Despite all the performance improvements from companies such as TSMC, Marvell, and NVIDIA, costs associated with high-performance AI hardware continue to be an insurmountable hurdle. limiting the adoption of edge AI, particularly in budget-constricted industries, as the entry cost for high-performance edge native hardware remains too high.
By Processor
Processor segment, dominated by CPU, holds the highest share revenue of 54% in Edge AI Hardware market in 2023 due to heterogeneity and versatility, CPUs are needed in a wide range of edge AI applications, from smartphones to industrial IoT devices. You learn these kinds of devices power edge AI systems that need on-board computing to perform it must have capabilities of processing data and algorithms but also to overcome heavy workloads.
The GPU segment is the fastest-growing segment in Edge AI Hardware market over the forecast periods (2024-2032), the strength of GPUs is in parallel processing, and they are better suited for data-intensive, high-performance workloads (such as deep learning and image processing). As deep learning models become larger and more data-hungry (and things like CNNs will typically need at least terabytes of power and memory to train) The huge significance of these hardware elements for AI model training and inference is also driving demand faster to the edge with applications of low latency at the edge both in terms of decision and in terms of context where the need for decision and context is real-time with applications to robots, autonomous vehicles, and cameras.
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By Devices
The camera segment currently dominates the Edge AI hardware market, with a market share of 35% in 2023. For example, in numerous edge AI use cases like CCTV, ADAS, robotics, etc. where high quality of visual data is required that needs be processing at real time, cameras plays an imperative role. Camera with edge AI hardware is also gaining importance with developments in AI powered Image recognition and object detection, to help deliver increased situational awareness and enable making smarter decisions at the edge.
The smartphone segment to be the fastest-growing segment in the Edge AI hardware market during 2024-2032. With the rise of smartphones, phone makers are making them smart by making great AI capabilities, available to the users i.e., face ID, AR features, voice assistants, and more, which requires power strong edge AI hardware. This is primarily fueled by the ongoing development of AI-enabled mobile chips and processors, allowing smartphones to carry out artificial intelligence activities locally rather than through cloud computing.
The Edge AI hardware market is projected to be dominated by the Asia-Pacific region, estimates are Asia-Pacific alone will account for about 43% of the market by 2023. due to the rapid technology developments across the region with much focus in countries like China, Japan, South Korea, and India towards rising innovations in artificial intelligence, robotics, and IoT (Internet of Things). Especially China has been implementing large-scale investments on the edge computing infrastructure and AI chips manufacturing, thus it constitutes a significant part of the globalAI landscape. Furthermore, the heavy penetration of AI in healthcare, automotive, and industrial applications within the region has supported the edge AI hardware market, making a significant contribution to the overall growth of the edge AI hardware in the developed and emerging economies.
North America region is expected to see the fastest growth in the forecast period from 2024 to2032. Edge AI is being popularized in the USA, which is a hub for technological innovation, home to the top chip manufacturers like NVIDIA, Intel and Google. Application-wise, automotive segment is expected to witness high CAGR during the forecast period owing to high deployment of AI-based applications in various applications including autonomous vehicles and smart cities; major share will be to North America owing to high deployment of AI-based applications for enterprise solution. In addition, the growing shift towards low-latency, real-time processing in edge computing systems is driving them to deploy advance ai chips & processor across the industries.
Some of the major key players in Edge AI Hardware market with their product:
NVIDIA Corporation (Graphics Processing Units, AI Accelerators)
Google (Alphabet Inc.) (Edge TPU, Google Cloud AI)
Intel Corporation (Xeon Processors, Movidius AI Chips)
Huawei Technologies Co., Ltd. (Ascend AI Processors, Kirin Chips)
Apple Inc. (A-Series Chips, Neural Engine)
Qualcomm Incorporated (Snapdragon Processors, AI Engine)
Samsung Electronics Co., Ltd. (Exynos Chips, AI Hardware)
IBM Corporation (Power AI, IBM Edge Computing Solutions)
Dell Technologies Inc. (Edge Computing Servers, VxRail Systems)
Microsoft Corporation (Azure AI, Azure Percept)
ARM (Cortex-A Processors, AI Edge Processors)
Hailo (Hailo-8 AI Processor)
MediaTek Inc. (Dimensity AI Chips)
Xilinx Inc. (Versal AI Acceleration, FPGAs)
Micron Technology (Memory and Storage Solutions for AI)
List of Suppliers who provide raw material and component
Taiwan Semiconductor Manufacturing Company (TSMC)
Samsung Electronics
Micron Technology
SK Hynix
GlobalFoundries
ASML
Broadcom
NXP Semiconductors
ON Semiconductor
Qualcomm Technologies
ARM Holdings
Xilinx
November 20, 2024, Nvidia AI's role in supercomputing was further solidified with the introduction of the Weka AI RAG Reference Platform. Created by WekaIO, this platform addresses challenges in RAG inferencing using GPUs and Run:ai's software frameworks to streamline the process.
On January 21, 2025, Samsung unveiled its AI-powered Interactive Display (WAFX-P model) at Bett 2025. The display, equipped with Samsung AI Assistant, combines advanced hardware and AI features like generative AI and real-time transcription to revolutionize classroom learning.
Report Attributes | Details |
---|---|
Market Size in 2023 | USD 2.78 Billion |
Market Size by 2032 | USD 14.62 Billion |
CAGR | CAGR of 20.25% From 2024 to 2032 |
Base Year | 2023 |
Forecast Period | 2024-2032 |
Historical Data | 2020-2022 |
Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
Key Segments | • By Processor(CPU, GPU, FPGA ,ASICs) • By Devices(Smartphones, Cameras, Robots, Wearables, Smart Speaker, Other Devices) • By End Use Industry(Government, Real Estate, Consumer Electronics, Automotive, Transportation, Healthcare, Manufacturing, Others) |
Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
Company Profiles | NVIDIA Corporation, Google (Alphabet Inc.), Intel Corporation, Huawei Technologies Co., Ltd., Apple Inc., Qualcomm Incorporated, Samsung Electronics Co., Ltd., IBM Corporation, Dell Technologies Inc., Microsoft Corporation, ARM, Hailo, MediaTek Inc., Xilinx Inc., Micron Technology, and others. |
Ans: The Edge AI Hardware Market was valued at USD 2.78 Billion in 2023.
Ans: The expected CAGR of the Edge AI Hardware Market during the forecast period is 20.25%.
Ans: Edge AI devices, encompassing smartphones, surveillance/security cameras, drones, and robots, possess on-device intelligence, allowing them to make decisions regarding the nearest point of interaction with the user
Ans: Asia-Pacific is expected to exhibit the highest Compound Annual Growth Rate (CAGR) owing to the presence of leading manufacturers and exporters of semiconductor content, presenting an opportunity for market growth.
Ans: The North America region with the biggest market share in 2023.
Table of Content
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Customer Adoption and Use Cases
5.2 Supply Chain Data
5.3 Power Consumption and Efficiency Metrics
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Edge AI Hardware Market Segmentation, by Processor
7.1 Chapter Overview
7.2 CPU
7.2.1 CPU Market Trends Analysis (2020-2032)
7.2.2 CPU Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 GPU
7.3.1 GPU Market Trends Analysis (2020-2032)
7.3.2 GPU Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 FPGA
7.4.1 FPGA Market Trends Analysis (2020-2032)
7.4.2 FPGA Market Size Estimates and Forecasts to 2032 (USD Billion)
7.5 ASICs
7.5.1 ASICs Market Trends Analysis (2020-2032)
7.5.2 ASICs Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Edge AI Hardware Market Segmentation, by Devices
8.1 Chapter Overview
8.2 Smartphones
8.2.1 Smartphones Market Trends Analysis (2020-2032)
8.2.2 Smartphones Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Cameras
8.3.1 Cameras Market Trends Analysis (2020-2032)
8.3.2 Cameras Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Robots
8.4.1 Robots Market Trends Analysis (2020-2032)
8.4.2 Robots Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Wearables
8.5.1 Wearables Market Trends Analysis (2020-2032)
8.5.2 Wearables Market Size Estimates and Forecasts to 2032 (USD Billion)
8.6 Smart Speaker
8.6.1 Smart Speaker Market Trends Analysis (2020-2032)
8.6.2 Smart Speaker Market Size Estimates and Forecasts to 2032 (USD Billion)
8.7 Others
8.7.1 Others Market Trends Analysis (2020-2032)
8.7.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Edge AI Hardware Market Segmentation, by End Use Industry
9.1 Chapter Overview
9.2 Government
9.2.1 Government Market Trends Analysis (2020-2032)
9.2.2 Government Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Real Estate
9.3.1 Real Estate Market Trends Analysis (2020-2032)
9.3.2 Real Estate Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Consumer Electronics
9.4.1 Consumer Electronics Market Trends Analysis (2020-2032)
9.4.2 Consumer Electronics Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 Automotive
9.5.1 Automotive Market Trends Analysis (2020-2032)
9.5.2 Automotive Market Size Estimates and Forecasts to 2032 (USD Billion)
9.6 Transportation
9.6.1 Transportation Market Trends Analysis (2020-2032)
9.6.2 Transportation Market Size Estimates and Forecasts to 2032 (USD Billion)
9.7 Healthcare
9.7.1 Healthcare Market Trends Analysis (2020-2032)
9.7.2 Healthcare Market Size Estimates and Forecasts to 2032 (USD Billion)
9.8 Manufacturing
9.8.1 Manufacturing Market Trends Analysis (2020-2032)
9.8.2 Manufacturing Market Size Estimates and Forecasts to 2032 (USD Billion)
9.9 Others
9.9.1 Others Market Trends Analysis (2020-2032)
9.9.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Edge AI Hardware Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.2.4 North America Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.2.5 North America Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.2.6.2 USA Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.2.6.3 USA Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.2.7.2 Canada Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.2.7.3 Canada Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.2.8.2 Mexico Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.2.8.3 Mexico Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Edge AI Hardware Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.1.3 Eastern Europe Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.1.4 Eastern Europe Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.1.5 Eastern Europe Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.1.6 Poland
10.3.1.6.1 Poland Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.1.6.2 Poland Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.1.6.3 Poland Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.1.7 Romania
10.3.1.7.1 Romania Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.1.7.2 Romania Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.1.7.3 Romania Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.1.8.2 Hungary Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.1.8.3 Hungary Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.1.9 Turkey
10.3.1.9.1 Turkey Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.1.9.2 Turkey Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.1.9.3 Turkey Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.1.10.2 Rest of Eastern Europe Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.1.10.3 Rest of Eastern Europe Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Edge AI Hardware Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.2.3 Western Europe Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.2.4 Western Europe Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.2.5 Western Europe Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.2.6 Germany
10.3.2.6.1 Germany Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.2.6.2 Germany Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.2.6.3 Germany Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.2.7 France
10.3.2.7.1 France Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.2.7.2 France Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.2.7.3 France Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.2.8 UK
10.3.2.8.1 UK Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.2.8.2 UK Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.2.8.3 UK Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.2.9 Italy
10.3.2.9.1 Italy Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.2.9.2 Italy Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.2.9.3 Italy Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.2.10 Spain
10.3.2.10.1 Spain Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.2.10.2 Spain Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.2.10.3 Spain Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.2.11.2 Netherlands Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.2.11.3 Netherlands Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.2.12.2 Switzerland Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.2.12.3 Switzerland Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.2.13 Austria
10.3.2.13.1 Austria Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.2.13.2 Austria Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.2.13.3 Austria Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.3.2.14.2 Rest of Western Europe Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.3.2.14.3 Rest of Western Europe Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Edge AI Hardware Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia Pacific Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.4.4 Asia Pacific Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.4.5 Asia Pacific Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.4.6.2 China Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.4.6.3 China Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.4.7.2 India Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.4.7.3 India Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.4.8.2 Japan Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.4.8.3 Japan Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.4.9.2 South Korea Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.4.9.3 South Korea Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.4.10 Vietnam
10.4.10.1 Vietnam Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.4.10.2 Vietnam Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.4.10.3 Vietnam Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.4.11 Singapore
10.4.11.1 Singapore Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.4.11.2 Singapore Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.4.11.3 Singapore Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.4.12 Australia
10.4.12.1 Australia Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.4.12.2 Australia Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.4.12.3 Australia Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia Pacific Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia Pacific Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Edge AI Hardware Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.1.3 Middle East Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.5.1.4 Middle East Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.5.1.5 Middle East Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.5.1.6 UAE
10.5.1.6.1 UAE Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.5.1.6.2 UAE Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.5.1.6.3 UAE Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.5.1.7.2 Egypt Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.5.1.7.3 Egypt Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.5.1.8.2 Saudi Arabia Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.5.1.8.3 Saudi Arabia Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.5.1.9.2 Qatar Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.5.1.9.3 Qatar Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.5.1.10.2 Rest of Middle East Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.5.1.10.3 Rest of Middle East Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Edge AI Hardware Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.2.3 Africa Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.5.2.4 Africa Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.5.2.5 Africa Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.5.2.6.2 South Africa Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.5.2.6.3 South Africa Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.5.2.7.2 Nigeria Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.5.2.7.3 Nigeria Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.5.2.8.2 Rest of Africa Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.5.2.8.3 Rest of Africa Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Edge AI Hardware Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.6.4 Latin America Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.6.5 Latin America Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.6.6.2 Brazil Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.6.6.3 Brazil Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.6.7.2 Argentina Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.6.7.3 Argentina Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.6.8 Colombia
10.6.8.1 Colombia Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.6.8.2 Colombia Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.6.8.3 Colombia Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Edge AI Hardware Market Estimates and Forecasts, by Processor (2020-2032) (USD Billion)
10.6.9.2 Rest of Latin America Edge AI Hardware Market Estimates and Forecasts, by Devices (2020-2032) (USD Billion)
10.6.9.3 Rest of Latin America Edge AI Hardware Market Estimates and Forecasts, by End Use Industry (2020-2032) (USD Billion)
11. Company Profiles
11.1 NVIDIA Corporation
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Google
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 Intel Corporation
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Huawei Technologies Co., Ltd.
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Apple Inc.
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Qualcomm Incorporated
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 Samsung Electronics Co., Ltd
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 IBM Corporation
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 Dell Technologies Inc.
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 Microsoft Corporation
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
By Processor
CPU
GPU
FPGA
ASICs
By Devices
Smartphones
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Other Devices
By End Use Industry
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Manufacturing
Others
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Rest of Eastern Europe
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Rest of Western Europe
Asia-Pacific
China
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Japan
South Korea
Vietnam
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Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
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Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
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Rest of Latin America
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With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
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Product Matrix which gives a detailed comparison of the product portfolio of each company
Geographic Analysis
Additional countries in any of the regions
Company Information
Detailed analysis and profiling of additional market players (Up to five)
The Inspection Camera System Market size was valued at USD 351.98 Million in 2023 and is expected to reach USD 933.51 Million by 2032 and grow at a CAGR of 11.47% over the forecast period 2024-2032.
The Programmable Logic Controller (PLC) Market Size was valued at USD 12.95 billion in 2023. It is expected to grow at a CAGR of 6.40% During 2024-2032
The Flat Panel Antenna Market Size was valued at USD 477.55 Million in 2023 and is expected to grow at 29.84% CAGR to reach USD 5007.18 Million by 2032.
The Electric Drives Market Size was valued at USD 2.6 billion in 2023 and is expected to grow at a CAGR of 18.35% to reach USD 11.78 billion by 2032.
The Semiconductor Silicon Wafer Market size was valued at USD 13.30 billion in 2023 and is expected to grow to USD 118.60 billion by 2032 and grow at a CAGR of 3.75% over the forecast period of 2024-2032.
The Smart Plug Market Size was valued at USD 1.46 Billion in 2023 and is expected to reach USD 14.52 Billion by 2032 and grow at a CAGR of 29.03% over the forecast period of 2024-2032
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