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.
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MARKET DYNAMICS:
KEY DRIVERS:
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.
RESTRAINTS:
There is a limited amount of AI experts.
On-device training is limited.
OPPORTUNITIES:
The emergence of a 5G network to connect IT and telecom.
AI processors dedicated to on-device image analyses.
CHALLENGES:
Edge AI standards are being optimized.
Power usage and size limitations
IMPACT OF COVID-19:
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.
MARKET SEGMENTS:
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
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REGIONAL ANALYSIS:
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.
REGIONAL COVERAGE:
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
COMPETITIVE LANDSCAPE:
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
| 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. |
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
4.3.2.1 US
4.3.2.2 Canada
4.3.2.3 Germany
4.3.2.4 France
4.3.2.5 United Kingdom
4.3.2.6 China
4.3.2.7 Japan
4.3.2.8 South Korea
4.3.2.9 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
8.1Introduction
8.2 Memory
8.3 Processor
8.4 Sensor
8.5 Other
9. Edge AI Hardware Market Segmentation, by device
9.1Introduction
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
15.Conclusion
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