Global Edge AI Hardware Market Research Report By Component, By Device, By Power Consumption, By Process, By Vertical and By Region -Forecast Till 2030

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Global Edge AI Hardware Market Research Report By Component (CPU, GPU, ASIC, and FPGA.), By Device (Smartphone, Camera, Robot, Automobile, Smart Speaker, Wearables, Smart Mirror, and Others), By Power Consumption (into 0-5 W, 6-10 W, and More Than 10 W), By Process (Training and Inference), By Vertical (Consumer Electronics, Smart Home, Automotive & Transportation, Healthcare, Aerospace & Defense, Government, Construction) and By Region (North America, Europe, Asia-Pacific, Middle East and Africa, South America) -Forecast Till 2030

Market Synopsis

According to projections, the Edge AI Hardware market would expand at a compound annual growth rate (CAGR) of 21.92% from USD 3275.01 million in 2024 to USD 15987.85 million by 2032. An algorithm called Edge AI is capable of locally processing data on a hardware platform. With this feature, a device may process data and make decisions on its own without requiring a connection. AI accelerators are specialized Edge AI hardware that improves Edge devices' ability to do data-intensive deep learning inference, making them a viable choice for various compute-intensive jobs. With the increasing demand for real-time deep learning workloads, specialized Edge AI hardware that enables fast deep learning on the device has become increasingly crucial.

The market for edge AI hardware is expected to develop significantly as a result of the 5G and 6G networks being integrated. The introduction of 5G networks has allowed for the seamless deployment of real-time, low-latency Edge AI applications, hence increasing the capabilities of AI-enabled intelligent edge devices. These networks also offer ultra-fast connectivity and high bandwidth. The market can anticipate a proliferation of these devices capable of complicated activities and autonomous decision-making in surroundings with a high density of devices as 5G networks continue to expand.

Furthermore, even faster speeds, more available capacity, and improved network dependability are promised by the development of 6G networks, which are expected to be developed after 2030 and use higher frequency bands. These factors are essential for Edge AI applications on a big scale. Because of the increasing need for strong and effective hardware solutions to support these cutting-edge networks and applications, this presents a favorable environment for the growth of the Edge AI hardware market.

insights on market segments

The Edge AI Hardware Market is divided into four segments based on component: CPU, GPU, ASIC, and FPGA.

The Edge AI Hardware Market is divided into categories based on devices, including wearables, smart mirrors, smartphones, cameras, robots, cars, and others.

The Edge AI Hardware Market is divided into three segments based on power consumption: 0-5 W, 6-10 W, and More.

The consumer electronics, smart home, automotive & transportation, healthcare, aerospace & defense, government, construction, and other segments make up the Edge AI Hardware Market, according to Vertical.

Localized Perspectives

The market for Edge AI Hardware is probably most driven by North America. The US, Canada, and Mexico are included in this. The presence of large corporations that constantly prioritize strategic development-mergers, acquisitions, product launches, partnerships-in order to maintain their competitiveness in the market has an impact on the regional market share. For instance, in September 2021, Synaptics Inc. and Edge Impulse forged a partnership. With this cooperation, thousands of embedded developers will have access to Synaptics' KatanaUltra Low-Power Edge AI Platform and the Edge Impulse software development platform, enabling them to create, train, and implement custom models for a variety of AI applications.Developers may create models that are ready for production more quickly and efficiently with the help of the Edge Impulse Embedded ML Platform. Additionally, it simplifies model training, testing, and optimization in the context of comprehensive MLOps.

One of the world's fastest-growing markets for Edge AI hardware is Asia Pacific. The Asia Pacific region is expected to soar to the top of the Edge AI Hardware Market growth chart due to the deployment of 5G in the area and the increase in IoT-integrated devices. The increasing number of people in China, Japan, India, and South Korea who own smartphones is expected to increase the market adoption of AI hardware. The two largest markets in the area are China and Japan. The presence of multiple large suppliers in the automotive, electronics, and semiconductor industries that are making significant investments in AI technology is fueling the growth of the edge AI hardware market in the region. China's edge AI industry has seen tremendous increase in invention over the past year for edge computing and hardware solutions, as evidenced by the number of patents issued, highlighting the nation's rapid industrial innovation.

Principal Players

The leading players in the market are NVIDIA Corporation, ARM, Hailo, MediaTek Inc., Xilinx Inc., Micron Technology, Apple Inc., Qualcomm Incorporated, Huawei Technologies Co., Ltd., Intel Corporation, NVIDIA Corporation, Samsung Electronics Co., Ltd., and IBM Corporation.

Product Code: MRFR/SEM/6365-CR

1 EXECUTIVE SUMMARY

1.1 MARKET ATTRACTIVENESS ANALYSIS

2 MARKET INTRODUCTION

2.1 DEFINITION
2.2 SCOPE OF THE STUDY
2.3 RESEARCH OBJECTIVE
2.4 MARKET STRUCTURE

3 RESEARCH METHODOLOGY

4 MARKET DYNAMICS

4.1 OVERVIEW
4.2 DRIVERS
- 4.2.1 GROWTH IN THE UTILIZATION OF ARTIFICIAL INTELLIGENCE (AI)
- 4.2.2 GROWING ADOPTION OF EDGE AI DUE TO VARIOUS ADVANTAGE OFFERED BY EDGE AI
4.3 RESTRAINTS
- 4.3.1 LIMITED COMPUTATIONAL POWER AND MEMORY IN EDGE DEVICES
- 4.3.2 COMPLEXITY IN INTEGRATING DIVERSE EDGE AI HARDWARE COMPONENTS
4.4 OPPORTUNITIES
- 4.4.1 AVAILABILITY OF CHEAP AI HARDWARE AND COST-EFFECTIVE CONNECTIVITY
- 4.4.2 5G AND 6G NETWORKS INTEGRATION
4.5 CHALLENGES:
4.6 IMPACT ANALYSIS OF COVID-19
- 4.6.1 IMPACT ON SEMICONDUCTOR MANUFACTURERS
- 4.6.2 IMPACT ON COMPONENT MANUFACTURERS
- 4.6.3 IMPACT ON DEVICE MANUFACTURERS
- 4.6.4 IMPACT ON SUPPLY CHAIN DELAY

5 MARKET FACTOR ANALYSIS

5.1 SUPPLY CHAIN ANALYSIS
- 5.1.1 RAW MATERIAL SUPPLIERS:
- 5.1.2 COMPONENT MANUFACTURING:
- 5.1.3 ORIGINAL EQUIPMENT MANUFACTURERS (OEMS):
- 5.1.4 SOFTWARE PROVIDERS:
- 5.1.5 END USERS:
5.2 PORTER'S FIVE FORCES MODEL
- 5.2.1 THREAT OF NEW ENTRANTS
- 5.2.2 BARGAINING POWER OF SUPPLIERS
- 5.2.3 THREAT OF SUBSTITUTES
- 5.2.4 BARGAINING POWER OF BUYERS
- 5.2.5 INTENSITY OF RIVALRY
5.3 SWOT ANALYSIS OF E- HOUSE MARKET
5.4 PESTAL ANALYSIS OF E- HOUSE MARKET
5.5 CASE STUDIES DEMONSTRATING IMPLEMAENTATION OF EDGE AI IN VARIOUS FIELDS

6 GLOBAL EDGE AI HARDWARE MARKET, BY COMPONENT

6.1 OVERVIEW
6.2 CPU
6.3 GPU
6.4 ASIC
6.5 FGPA

7 GLOBAL EDGE AI HARDWARE MARKET, BY DEVICE

7.1 OVERVIEW
7.2 SMARTPHONE
7.3 CAMERA
7.4 ROBOT
7.5 AUTOMOBILE
7.6 SMART SPEAKER
7.7 WEARABLES
7.8 SMART MIRROR
7.9 OTHERS

8 GLOBAL EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION

8.1 OVERVIEW
8.2 0-5W
8.3 6-10W
8.4 MORE THAN 10W

9 GLOBAL EDGE AI HARDWARE MARKET, BY PROCESS

9.1 OVERVIEW
9.2 TRAINING
9.3 INFERENCE

10 GLOBAL EDGE AI HARDWARE MARKET, BY VERTICAL

10.1 OVERVIEW
10.2 CONSUMER ELECTRONICS
10.3 SMART HOME
10.4 AUTOMOTIVE & TRANSPORTATION
10.5 HEALTHCARE
10.6 AEROSPACE & DEFENSE
10.7 GOVERNMENT
10.8 CONSTRUCTION
10.9 OTHERS

11 GLOBAL EDGE AI HARDWARE MARKET, BY REGION

11.1 OVERVIEW
11.2 NORTH AMERICA
11.3 EUROPE
11.4 ASIA-PACIFIC
11.5 REST OF THE WORLD

12 COMPETITIVE LANDSCAPE

12.1 COMPETITIVE BENCHMARKING
12.2 VENDOR SHARE ANALYSIS
12.3 RECENT DEVELOPMENTS
- 12.3.1 PRODUCT DEVELOPMENT

13 COMPANY PROFILE

13.1 INTEL CORPORATION
- 13.1.1 COMPANY OVERVIEW
- 13.1.2 FINANCIAL OVERVIEW
- 13.1.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED
- 13.1.4 KEY DEVELOPMENTS
- 13.1.5 SWOT ANALYSIS
- 13.1.6 KEY STRATEGIES
13.2 ARM LIMITED
- 13.2.1 COMPANY OVERVIEW
- 13.2.2 FINANCIAL OVERVIEW
- 13.2.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED
- 13.2.4 KEY DEVELOPMENTS
- 13.2.5 SWOT ANALYSIS
- 13.2.6 KEY STRATEGIES
13.3 HUAWEI TECHNOLOGIES CO. LTD.
- 13.3.1 COMPANY OVERVIEW
- 13.3.2 FINANCIAL OVERVIEW
- 13.3.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED
- 13.3.4 KEY DEVELOPMENTS
- 13.3.5 SWOT ANALYSIS
- 13.3.6 KEY STRATEGIES
13.4 MICROSOFT
- 13.4.1 COMPANY OVERVIEW
- 13.4.2 FINANCIAL OVERVIEW
- 13.4.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED
- 13.4.4 KEY DEVELOPMENTS
- 13.4.5 SWOT ANALYSIS
- 13.4.6 KEY STRATEGIES
13.5 SAMSUNG ELECTRONICS CO., LTD.
- 13.5.1 COMPANY OVERVIEW
- 13.5.2 FINANCIAL OVERVIEW
- 13.5.3 PRODUCTS OFFERED
- 13.5.4 KEY DEVELOPMENTS
- 13.5.5 SWOT ANALYSIS
- 13.5.6 KEY STRATEGIES
13.6 GOOGLE INC. (ALPHABET INC.)
- 13.6.1 COMPANY OVERVIEW
- 13.6.2 FINANCIAL OVERVIEW
- 13.6.3 PRODUCTS OFFERED
- 13.6.4 KEY DEVELOPMENTS
- 13.6.5 SWOT ANALYSIS
- 13.6.6 KEY STRATEGIES
13.7 NVIDIA CORPORATION
- 13.7.1 COMPANY OVERVIEW
- 13.7.2 FINANCIAL OVERVIEW
- 13.7.3 PRODUCTS OFFERED
- 13.7.4 KEY DEVELOPMENTS
- 13.7.5 SWOT ANALYSIS
- 13.7.6 KEY STRATEGIES
13.8 QUALCOMM
- 13.8.1 COMPANY OVERVIEW
- 13.8.2 FINANCIAL OVERVIEW
- 13.8.3 PRODUCTS OFFERED
- 13.8.4 KEY DEVELOPMENTS
- 13.8.5 SWOT ANALYSIS
- 13.8.6 KEY STRATEGIES
13.9 MEDIATEK INC.
- 13.9.1 COMPANY OVERVIEW
- 13.9.2 FINANCIAL OVERVIEW
- 13.9.3 PRODUCTS OFFERED
- 13.9.4 KEY DEVELOPMENTS
- 13.9.5 SWOT ANALYSIS
- 13.9.6 KEY STRATEGIES
13.10 XILINX INC.
- 13.10.1 COMPANY OVERVIEW
- 13.10.2 FINANCIAL OVERVIEW
- 13.10.3 PRODUCTS OFFERED
- 13.10.4 KEY DEVELOPMENTS
- 13.10.5 SWOT ANALYSIS
- 13.10.6 KEY STRATEGIES
13.11 APPLE INC.
- 13.11.1 COMPANY OVERVIEW
- 13.11.2 FINANCIAL OVERVIEW
- 13.11.3 PRODUCTS OFFERED
- 13.11.4 KEY DEVELOPMENTS
- 13.11.5 SWOT ANALYSIS
- 13.11.6 KEY STRATEGIES
13.12 DELL TECHNOLOGIES INC.
- 13.12.1 COMPANY OVERVIEW
- 13.12.2 FINANCIAL OVERVIEW
- 13.12.3 PRODUCTS OFFERED
- 13.12.4 KEY DEVELOPMENTS
- 13.12.5 SWOT ANALYSIS
- 13.12.6 KEY STRATEGIES
13.13 MICRON TECHNOLOGY
- 13.13.1 COMPANY OVERVIEW
- 13.13.2 FINANCIAL OVERVIEW
- 13.13.3 PRODUCTS OFFERED
- 13.13.4 KEY DEVELOPMENTS
- 13.13.5 SWOT ANALYSIS
- 13.13.6 KEY STRATEGIES
13.14 IMAGINATION TECHNOLOGIES LIMITED
- 13.14.1 COMPANY OVERVIEW
- 13.14.2 PRODUCTS OFFERED
- 13.14.3 KEY DEVELOPMENTS
- 13.14.4 SWOT ANALYSIS
- 13.14.5 KEY STRATEGIES
13.15 HAILO
- 13.15.1 COMPANY OVERVIEW
- 13.15.2 PRODUCTS OFFERED
- 13.15.3 KEY DEVELOPMENTS
- 13.15.4 SWOT ANALYSIS
- 13.15.5 KEY STRATEGIES