Report Scope & Overview:

Edge AI Hardware Market Size was valued at USD 1.07 billion in 2022, and is expected to reach USD 4.27 billion by 2030, and grow at a CAGR of 18.9% over the forecast period 2023-2030.

Edge Al is an advanced type of device used for processing and intelligently designed robots and devices. This tool is used to integrate and optimize processing intelligence by processing data on the device itself. Cloud computing is not required for this process. These factors enable the device to make its own decisions. Edge-based AI processing enables workflow on a device that reduces data flow over long distances which is a great help for companies to analyze data in less time or based on real time.

Edge AI Hardware Market Revenue Analysis

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  • The number of intelligent applications is rapidly increasing.

  • Data storage and operating costs are reduced.

  • Demand for low latency and real-time processing on edge devices is increasing.


  • There is a limited amount of AI experts.

  • On-device training is limited.


  • The emergence of a 5G network to connect IT and telecom.

  • AI processors dedicated to on-device image analyses.


  • Edge AI standards are being optimized.

  • Power usage and size limitations


As the world looks at the ongoing impact of the COVID-19 epidemic, the entire industry is affected. To reduce the risk of an epidemic, organizations around the world are taking adequate measures such as remote operation, remote storage and monitoring, plant automation, and telehealth. It has been shown to have a positive impact on vertical health care, as firms have begun to see the potential of Edge AI Hardware in combating the impact of COVID-19. This has led to an increase in funding and research to keep businesses safe and secure throughout the value chain. It is expected that the market will witness slower growth during the epidemic and return with a higher rate of acquisition in all direct post-epidemic situations. Organizations around the world have been using digital infrastructure to continue their normal business operations as they serve as an important infrastructure. Healthcare, public sector, and educational environments use digital at an unprecedented rate. Many cloud and cloud companies offer their free computer services to leading employees to minimize the impact of COVID-19.

Based on Device, the edge AI hardware market is segmented into Smartphones, Surveillance cameras, Smart speakers, Edge servers, Robots, Wearables, Automotive and Smart mirrors. During the projection period, the wearables category might experience rapid expansion. This rapid growth rate might be related to the enhancement of features in wearables. Wearables are growing smarter, and the addition of AI and edge computing might improve their capabilities even more.

Based on End-User, the edge AI hardware market is segmented into Smart home, Automotive & transportation, Industrial, Healthcare, Consumer electronics, Aerospace & defense, Government and Construction. The consumer electronics industry leads in terms of volume. This is due to rising consumer expenditure and demand for consumer electronics. Smartphones, smart wearables, and other technologies are becoming increasingly popular. Furthermore, the emergence of new use cases for edge AI might lead to rapid growth in the consumer electronics segment of the edge AI hardware industry.



  • Memory

  • Processor

  • Sensor

  • Other


  • Smartphones

  • Surveillance cameras

  • Smart speakers

  • Edge servers

  • Robots

  • Wearables

  • Automotive

  • Smart mirrors


  • Smart home

  • Automotive & transportation

  • Industrial

  • Healthcare

  • Consumer electronics

  • Aerospace & defense

  • Government

  • Construction


  • Inference

  • Training

Edge AI Hardware Market Segmentation Analysis

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Globally, the market for edge AI hardware is being analyzed in Asia-Pacific, North America, Europe and around the world. Among these regions, North America is predicted to dominate a large portion of the edge AI hardware market in time to predict the growing need for faster device processing, higher delays due to network congestion, faster adoption of AI in the US and Canada, and growth. dependence on IoT devices. AI is used in consumer electronics and smart home applications that drive market growth in the region. Government financial growth and a strong technical base expand the market in the region. Asia-Pacific is expected to grow at a very high CAGR due to the presence of large manufacturers and exporters of semiconductor content which could be an opportunity to boost market growth.


  • North America

    • USA

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • The Netherlands

    • Rest of Europe

  • Asia-Pacific

    • Japan

    • south Korea

    • China

    • India

    • Australia

    • Rest of Asia-Pacific

  • The Middle East & Africa

    • Israel

    • UAE

    • South Africa

    • Rest of Middle East & Africa

  • Latin America

    • Brazil

    • Argentina

    • Rest of Latin America


The key players in the edge AI hardware are Google, Intel Corporation, MediaTek, NVIDIA Corporation, Samsung Electronics, Apple, Huawei Technologies, International Business Machines Corporation, Microsoft Corporation, Qualcomm Technologies & Other Players

Edge AI Hardware Market Report Scope:

Report Attributes Details
Market Size in 2022 US$ 1.07 Billion
Market Size by 2030 US$ 4.27 Billion
CAGR CAGR of 18.9% From 2023 to 2030
Base Year 2022
Forecast Period 2023-2030
Historical Data 2020-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By Type (Programmable (FPGA & PLD) DSP IC, Application-Specific DSP IC, General-Purpose DSP IC)
• By Component (Memory, Processor, Sensor, Other)
• By Device (Smartphones, Surveillance Cameras, Smart Speakers, Edge Servers, Robots, Wearables, Automotive, Smart Mirrors)
• By End User (Smart Home, Automotive & Transportation, Industrial, Healthcare, Consumer Electronics, Aerospace & Defense, Government, Construction)
• By Function (Inference, Training)
Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
Company Profiles Google, Intel Corporation, MediaTek, NVIDIA Corporation, Samsung Electronics, Apple, Huawei Technologies, International Business Machines Corporation, Microsoft Corporation and Qualcomm Technologies.
Key Drivers • The number of intelligent applications is rapidly increasing.
• Data storage and operating costs are reduced.
Restraints • There is a limited amount of AI experts.
• On-device training is limited.

Frequently Asked Questions

The Edge AI Hardware Market size was valued at USD 1.07 billion in 2022 at a CAGR of 18.9%.

The market value is expected to reach USD 4.27 billion by 2030.

The market has been segmented with respect to component, device, function and end-user.

Top-down research, bottom-up research, qualitative research, quantitative research, and Fundamental research.

Manufacturers, Consultants, Association, Research Institutes, private and university libraries, suppliers, and distributors of the product.

Table of Contents


1. Introduction

1.1 Market Definition

1.2 Scope

1.3 Research Assumptions


2. Research Methodology


3. Market Dynamics

3.1 Drivers

3.2 Restraints

3.3 Opportunities

3.4 Challenges


4. Impact Analysis

4.1 COVID-19 Impact Analysis

4.2 Impact of Ukraine- Russia war

4.3 Impact of ongoing Recession

4.3.1 Introduction

4.3.2 Impact on major economies US Canada Germany France United Kingdom China Japan South Korea Rest of the World


5. Value Chain Analysis


6. Porter’s 5 forces model


7.  PEST Analysis


8. Edge AI Hardware Market Segmentation, by component


8.2 Memory

8.3 Processor

8.4 Sensor

8.5 Other


9. Edge AI Hardware Market Segmentation, by device


9.2 Smartphones

9.3 Surveillance cameras

9.4 Smart speakers

9.5 Edge servers

9.6 Robots

9.7 Wearables

9.8 Automotive

9.9 Smart mirrors


10. Edge AI Hardware Market Segmentation, by end user

10.1 Introduction

10.2 Smart home

10.3 Automotive & transportation

10.4 Industrial

10.5 Healthcare

10.6 Consumer electronics

10.7 Aerospace & defense

10.8 Government

10.9 Construction


11. Edge AI Hardware Market Segmentation, by function

11.1 Introduction

11.2 Inference

11.3 Training


12. Regional Analysis

12.1 Introduction

12.2 North America

12.2.1 USA

12.2.2 Canada

12.2.3 Mexico

12.3 Europe

12.3.1 Germany

12.3.2 UK

12.3.3 France

12.3.4 Italy

12.3.5 Spain

12.3.6 The Netherlands

12.3.7 Rest of Europe

12.4 Asia-Pacific

12.4.1 Japan

12.4.2 South Korea

12.4.3 China

12.4.4 India

12.4.5 Australia

12.4.6 Rest of Asia-Pacific

12.5 The Middle East & Africa

12.5.1 Israel

12.5.2 UAE

12.5.3 South Africa

12.5.4 Rest

12.6 Latin America

12.6.1 Brazil

12.6.2 Argentina

12.6.3 Rest of Latin America


13.Company Profiles

13.1 Microsoft Corporation

13.1.1 Financial

13.1.2 Products/ Services Offered

13.1.3 SWOT Analysis

13.1.4 The SNS view

13.2 Google

13.3 Intel Corporation

13.4 MediaTek

13.5 NVIDIA Corporation

13.6 Samsung Electronics

13.7 Apple

13.8 Huawei Technologies

13.9 International Business Machines Corporation

13.10 Qualcomm Technologies


14.Competitive Landscape

14.1 Competitive Benchmark

14.2 Market Share analysis

14.3 Recent Developments




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.

Secondary Research

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.

Primary Research

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.

Data Bank Validation

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.

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