Edge AI Hardware Market is a professional and a meticulous report which focuses on primary and secondary drivers, market share, leading segments and geographical analysis. It endows with an analytical measurement of the main challenges faced by the business currently and in the upcoming years.

Furthermore, the recent developments, product launches, joint ventures, mergers and acquisitions employed by the several key players are explained well by systemic company profiles covered in this wide ranging market report. Being a detailed market research report, Edge AI Hardware Market report gives business a competitive advantage. All this data and information is very significant to the businesses when it comes to define the strategies about the production, marketing, sales, promotion and distribution of the products and services. Edge AI Hardware Market report gives key measurements, status of the manufacturers and is a significant source of direction for the businesses and organizations.

Global Edge AI Hardware Market is expected to rise from its initial estimated value of 513.01 million units in 2018 to an estimated value of 2245.87 million units by 2026, registering a CAGR of 20.27% in the forecast period of 2019-2026. This rise in market value can be attributed to the growth in demand of edge computing products and services due to the significant prevalence of IoT in the industries.

Market Definition: Global Edge AI Hardware Market

Edge AI hardware are the various devices and equipments that are used to power and process the various AI based robots and devices. These hardware products inclusive of processors, sensors, cameras, etc. are used to integrate and improve the processing of these AI devices by processing the data in the device itself without the need for cloud systems or cloud computing.

Market Drivers:

Growth in demand for faster and efficient edge hardware devices that require lower processing time in AI applications; this factor is expected to act as a driver for the market growth
Reduced costing and innovations in products available in the market is expected to drive the market growth

Market Restraints:

Lack or dearth of professionals that are skilled or knowledgeable enough on AI and edge computing; this factor is expected to restrain the market growth
Lack of training or skills for the operations of devices and equipments’ integration in various AI devices; this factor is expected to restrain the market growth

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Segmentation: Global Edge AI Hardware Market

By Device
Smartphones
Cameras
Robots
Wearables
Smart Speaker
Automotive
Smart Mirror
By Processors
Central Processing Unit (CPU)
Graphics Processing Unit (GPU)
Application-Specific Integrated Circuit (ASIC)
Others
By Power Consumption
Less than 1W
1-3W
3-5W
5-10W
More than 10W
By Process
Training
Inference
By End-User Industry
Consumer Electronics
Smartphones
Wearables
Entertainment Robots
Smart Home
Smart Speaker
Smart Camera
Domestic Robots
Automotive & Transportation
Automobile
Surveillance Camera
Logistics Robots
Government
Surveillance Camera
Drones
Healthcare
Medical Robots
Wearables
Industrial
Industrial Robots
Drones
Cameras
Aerospace & Defense
Service Robots
Construction
Service Robots
Drones
Others
Surveillance Camera
Robots
Wearables
Smart Mirror
By Geography
North America
US
Canada
Mexico
South America
Brazil
Argentina
Rest of South America
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Turkey
Belgium
Netherlands
Rest of Europe
Asia-Pacific
Japan
China
South Korea
India
Australia
Singapore
Malaysia
Indonesia
Thailand
Philippines
Rest of Asia-Pacific
Middle East and Africa
South Africa
Egypt
Saudi Arabia
United Arab Emirates
Israel
Rest of Middle East and Africa

Key Developments in the Market:

In March 2019, NVIDIA Corporation announced the launch of an AI computer termed as “Jetsen Nano”, it is a computing board that will find its application in robots and AI-powered devices, without the need for outside interference for faster processing.
In March 2019, Alphabet Inc.’s subsidiary Google unveiled a number of new hardware products for AI development. The products include development board, USB accelerator and 5-megapixel camera. These products though haven’t yet been officially announced by the company but were unveiled under a new brand name “Coral”.

Competitive Analysis

Global edge AI hardware market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of edge AI hardware market for global, Europe, North America, Asia-Pacific and South America.

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Major Market Competitors/Players

Few of the major competitors currently working in edge AI hardware market are videantis GmbH; Qualcomm Technologies, Inc.; NVIDIA Corporation; Premier Farnell Limited; Micron Technology, Inc.; Alphabet Inc.; SecureRF Corporation; Microsoft; Xilinx Inc.; Intel Corporation; Huawei Technologies Co., Ltd.; SAMSUNG; Apple Inc.; Arm Limited; MediaTek Inc.; Applied Brain Research, Inc.; Horizon Robotics; Cadence Design Systems, Inc.; CEVA, Inc.; Imagination Technologies Limited; Synopsys, Inc.; Thinci; General Vision; Mythic; Adapteva, Inc.; Tenstorrent Inc and VeriSilicon Limited.

The Edge AI Hardware market research report covers definition, classification, product classification, product application, development trend, product technology, competitive landscape, industrial chain structure, industry overview, national policy and planning analysis of the industry, the latest dynamic analysis, etc., and also includes major. The study includes drivers and restraints of the global market. It covers the impact of these drivers and restraints on the demand during the forecast period. The report also highlights opportunities in the market at the global level.

The report provides size (in terms of volume and value) of Edge AI Hardware market for the base year 2019 and the forecast between 2020 and 2027. Market numbers have been estimated based on form and application. Market size and forecast for each application segment have been provided for the global and regional market.

This report focuses on the global Edge AI Hardware market status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Edge AI Hardware market development in United States, Europe and China.

It is pertinent to consider that in a volatile global economy, we haven’t just conducted Edge AI Hardware market forecasts in terms of CAGR, but also studied the market based on key parameters, including Year-on-Year (Y-o-Y) growth, to comprehend the certainty of the market and to find and present the lucrative opportunities in market.

In terms of production side, this report researches the Edge AI Hardware capacity, production, value, ex-factory price, growth rate, market share for major manufacturers, regions (or countries) and type.

In terms of consumption side, this report focuses on the consumption of Edge AI Hardware by regions (countries) and application.

Buyers of the report will have access to verified market figures, including global market size in terms of revenue and volume. As part of production analysis, the authors of the report have provided reliable estimations and calculations for global revenue and volume by Type segment of the global Edge AI Hardware market. These figures have been provided in terms of both revenue and volume for the period 2020 to 2027. Additionally, the report provides accurate figures for production by region in terms of revenue as well as volume for the same period. The report also includes production capacity statistics for the same period.

With regard to production bases and technologies, the research in this report covers the production time, base distribution, technical parameters, research and development trends, technology sources, and sources of raw materials of major Edge AI Hardware market companies.

Regarding the analysis of the industry chain, the research of this report covers the raw materials and equipment of Edge AI Hardware market upstream, downstream customers, marketing channels, industry development trends and investment strategy recommendations. The more specific analysis also includes the main application areas of market and consumption, major regions and Consumption, major Chinese producers, distributors, raw material suppliers, equipment providers and their contact information, industry chain relationship analysis.

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The research in this report also includes product parameters, production process, cost structure, and data information classified by region, technology and application. Finally, the paper model new project SWOT analysis and investment feasibility study of the case model.

Overall, this is an in-depth research report specifically for the Edge AI Hardware industry. The research center uses an objective and fair way to conduct an in-depth analysis of the development trend of the industry, providing support and evidence for customer competition analysis, development planning, and investment decision-making. In the course of operation, the project has received support and assistance from technicians and marketing personnel in various links of the industry chain.

The Edge AI Hardware market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to Edge AI Hardware market.

Prominent players in the market are predicted to face tough competition from the new entrants. However, some of the key players are targeting to acquire the startup companies in order to maintain their dominance in the global market. For a detailed analysis of key companies, their strengths, weaknesses, threats, and opportunities are measured in the report by using industry-standard tools such as the SWOT analysis. Regional coverage of key companies is covered in the report to measure their dominance. Key manufacturers of Edge AI Hardware market are focusing on introducing new products to meet the needs of the patrons. The feasibility of new products is also measured by using industry-standard tools.

Key companies are increasing their investments in research and development activities for the discovery of new products. There has also been a rise in the government funding for the introduction of new Edge AI Hardware market. These factors have benefited the growth of the global market for Edge AI Hardware. Going forward, key companies are predicted to benefit from the new product launches and the adoption of technological advancements. Technical advancements have benefited many industries and the global industry is not an exception.

In this study, the years considered to estimate the market size of Edge AI Hardware are as follows:

Historic Year: 2017-2020
Base Year: 2019
Forecast Year 2020 to 2027

Reasons to Purchase this Report:

Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
Market value USD Million and volume Units Million data for each segment and sub-segment
Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players

(**NOTE: Our analysts monitoring the situation across the globe explains that the market will generate remunerative prospects for producers post COVID-19 crisis. The report aims to provide an additional illustration of the latest scenario, economic slowdown, and COVID-19 impact on the overall industry.)

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Table of Content:

PART 01: EXECUTIVE SUMMARY

PART 02: SCOPE OF THE REPORT

PART 03: RESEARCH METHODOLOGY

PART 04: INTRODUCTION

Market outline

PART 05: MARKET LANDSCAPE

Market ecosystem
Market characteristics
Market segmentation analysis

PART 06: MARKET SIZING

Market definition
Market sizing 2021
Market size and forecast

PART 07: FIVE FORCES ANALYSIS

Bargaining power of buyers
Bargaining power of suppliers
Threat of new entrants
Threat of substitutes
Threat of rivalry
Market condition

PART 08: MARKET SEGMENTATION BY PRODUCT

Global Edge AI Hardware market by product
Comparison by product
Market opportunity by product

PART 09: MARKET SEGMENTATION BY DISTRIBUTION CHANNEL

Global Edge AI Hardware market by distribution channel
Comparison by distribution channel
Global Edge AI Hardware market by offline distribution channel
Global Edge AI Hardware market by online distribution channel
Market opportunity by distribution channel

PART 10: CUSTOMER LANDSCAPE

PART 11: MARKET SEGMENTATION BY END-USER

Global Edge AI Hardware market by end-user
Comparison by end-user

PART 12: REGIONAL LANDSCAPE

Global licensed Edge AI Hardware market by geography
Regional comparison
Licensed Edge AI Hardware market in Americas
Licensed Edge AI Hardware market in EMEA
Licensed Edge AI Hardware market in APAC
Market opportunity

PART 13: DECISION FRAMEWORK

PART 14: DRIVERS AND CHALLENGES

Market drivers
Market challenges

PART 15: MARKET TRENDS

PART 16: VENDOR LANDSCAPE

Overview
Landscape disruption
Competitive scenario

PART 17: VENDOR ANALYSIS

Vendors covered
Vendor classification
Market positioning of vendors

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