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.
- 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
- 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
- Smart Speaker
- Smart Mirror
- By Processors
- Central Processing Unit (CPU)
- Graphics Processing Unit (GPU)
- Application-Specific Integrated Circuit (ASIC)
- By Power Consumption
- Less than 1W
- More than 10W
- By Process
- By End-User Industry
- Consumer Electronics
- Entertainment Robots
- Smart Home
- Smart Speaker
- Smart Camera
- Domestic Robots
- Automotive & Transportation
- Surveillance Camera
- Logistics Robots
- Surveillance Camera
- Medical Robots
- Industrial Robots
- Aerospace & Defense
- Service Robots
- Service Robots
- Surveillance Camera
- Smart Mirror
- By Geography
- North America
- South America
- Rest of South America
- United Kingdom
- Rest of Europe
- South Korea
- Rest of Asia-Pacific
- Middle East and Africa
- South Africa
- Saudi Arabia
- United Arab Emirates
- Rest of Middle East and Africa
- North America
- Consumer Electronics
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”.
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
- Landscape disruption
- Competitive scenario
PART 17: VENDOR ANALYSIS
- Vendors covered
- Vendor classification
- Market positioning of vendors
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