Edge AI Hardware Market
Report ID: SQMIG45I2253
Report ID: SQMIG45I2253
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Report ID:
SQMIG45I2253 |
Region:
Global |
Published Date: January, 2025
Pages:
197
|Tables:
128
|Figures:
72
Edge AI Hardware Market size was valued at USD 28.15 Billion in 2024 and is poised to grow from USD 33.14 Billion in 2025 to USD 122.05 Billion by 2033, growing at a CAGR of 17.7% during the forecast period (2026–2033).
Rapidly increasing use of edge devices and connected devices are projected to bolster the demand for edge AI hardware going forward. Increasing demand for real-time data processing around the world and rising proliferation of Internet of Things (IoT) devices are also slated to create new business scope for edge AI hardware providers. High emphasis on energy efficiency and advancements in hardware technologies are also estimated to bolster the global edge AI hardware market growth in the long run. Growing use of autonomous technologies and rising advancements in artificial intelligence (AI) algorithms are also promoting the sales of edge AI hardware. Surging investments in the development of AI-specific hardware around the world are also estimated to favor market development potential through 2032. However, complexity in integration, dearth of skilled professionals, high energy consumption for advanced workloads, and data security and privacy concerns are forecasted to impede the demand for edge AI hardware across the study period and beyond.
Market snapshot - 2026-2033
Global Market Size
USD 23.92 billion
Largest Segment
GPU
Fastest Growth
CPU
Growth Rate
17.7% CAGR
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Global Edge AI Hardware Market is segmented by Device, Power Consumptions, Processor, Function, Vertical and region. Based on Device, the market is segmented into Smartphones, Surveillance, Robots, Wearables, Edge Servers, Smart Speakers, Automobiles and Other Devices. Based on Power Consumptions, the market is segmented into Less Than 1 W, 1-3 W, 3-5 W, 5-10 W and More Than 10 W. Based on Processor, the market is segmented into Central Processing Units, Graphics Processing Units, Application Specific Integrated Circuits and Other Processors. Based on Function, the market is segmented into Training and Inference. Based on Vertical, the market is segmented into Consumer Electronics, Smart Homes, Automotive & Transportation, Government, Healthcare, Industrial, Aerospace & Defense, Construction and Other verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
GPU (graphic processing unit) is forecasted to account for a notable chunk of the global edge AI hardware market share going forward. High parallel processing capabilities of GPUs make them a preferred choice for all artificial intelligence applications. High power efficiency and low latency are other benefits of graphic processing units that are helping this maintain their dominant share of this market. The high energy efficiency offered by GPUs makes them a preferred choice for edge applications as compared to CPUs that consumer more power for the same amount of data processing capabilities.
The demand for CPU (central processing unit) is expected to rise at a notable pace over the coming years. Central processing units are forecasted to emerge in popularity as semiconductor and silicon technologies advance going forward. High investments in the research and development of novel CPUs designed specifically for edge applications are also slated to create new opportunities for edge AI hardware companies in the long run. CPUs are expected to be extensively used in small edge AI devices where the requirement of computing power is relatively less such as small sensors and monitors.
Consumer electronics is projected to account for a dominant global edge AI hardware market share over the coming years. Increasing use of artificial intelligence in multiple consumer electronics products is forecasted to help this segment hold sway over others in the future. Gesture recognition, activity recognition, and motion tracking are some of the key applications in consumers electronics that require edge AI hardware use. Interactive displays, virtual assistants, and chatbots used in home and business applications are also expected to create new business scope for edge AI hardware providers going forward.
The demand for edge AI hardware in the healthcare industry is slated to rise at a notable pace over the coming years. Surging adoption of remote patient monitoring, telehealth, and telemedicine practices around the world are slated to create an opportune setting for edge AI hardware providers. Growing emphasis on making healthcare smart and rife with insights to enhance operations and improve patient outcomes are also expected to help boost the sales of edge AI hardware via this segment in the future. Better and quick decision-making capabilities can also be enabled by edge AI hardware adoption in the healthcare industry.
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North America is estimated to spearhead the global edge AI hardware industry growth over the coming years. The presence of leading artificial intelligence hardware manufacturers, rising adoption of connected devices, and growing demand for automation are cementing the demand for edge AI hardware in this region over the coming years. Growing acceptance of advanced AI and edge technologies in countries such as Canada and the United States are also expected to boost sales of edge AI hardware in the North American region through 2032. Strong technological infrastructure in this region is also a key factor promoting the adoption of edge AI hardware.
On the other hand, the Asia Pacific region is anticipated to emerge as the fastest growing market for edge AI hardware vendors in the future. High investments in R&D of novel AI technologies and rising adoption of the same are slated to create new opportunities for edge AI hardware providers going forward. China, India, Japan, and South Korea are slated to be the most rewarding markets for edge AI hardware companies operating in this region. Supportive government initiatives, presence of leading semiconductor manufacturers, and rising application scope of edge and AI technologies are helping this region contribute to the global edge AI hardware market outlook in the long run.
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High Demand for Real-time Data Processing
Rise in Use of IoT Devices
Shortage of Talent and Skilled Professionals
Challenges in Energy Consumption Management
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Edge AI hardware companies are expected to invest heavily in the R&D of novel hardware technologies to maximize their business scope. Use of advanced semiconductor manufacturing technologies can also help edge AI hardware companies boost their sales potential. Targeting countries with high demand for automation is slated to offer new opportunities for edge AI hardware providers in the long run.
SkyQuest's ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, high demand for real-time data processing and growing adoption of edge computing are estimated to set the tone for edge AI hardware market growth over the coming years. On the contrary, challenges in energy consumption management and the dearth of skilled professionals are predicted to slow down market growth. North America is estimated to spearhead the global sales of edge AI hardware in the future owing to the presence of leading edge AI hardware vendors in this region. Companies should invest in the development of collaborative cloud-edge hardware solutions to maximize their business scope in the long run.
| Report Metric | Details |
|---|---|
| Market size value in 2024 | USD 28.15 Billion |
| Market size value in 2033 | USD 122.05 Billion |
| Growth Rate | 17.7% |
| Base year | 2024 |
| Forecast period | 2026-2033 |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
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| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
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| Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the Edge AI Hardware Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Edge AI Hardware Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
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Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Edge AI Hardware Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Edge AI Hardware Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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