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Edge AI Hardware Market is Expected To Grow At A CAGR Of 20.15% From 2021-2028 | Data Bridge Market Research

The study and estimations of an excellent Edge AI Hardware Market report helps to figure out types of consumers, their views about the product, their buying intentions and their ideas for the step up of a product. With the market data of this report, emerging trends along with major drivers, challenges, and opportunities in the market for this industry can be identified and analysed. For the clear and better understanding of facts and figures, the data is represented in the form of graphs and charts. With the studies, insights, and analysis mentioned in the finest Edge AI Hardware market report; get comprehensible idea about the marketplace with which business decisions can be taken quickly and easily.

Market survey performed in Edge AI Hardware business report helps to unearth important information about the buyer personas, target audience, current customers, market, competition, and more e.g. demand for the product or service, potential pricing, impressions of the branding, etc. The report is prepared by using several steps such as surveys etc. This research contains a variety of question types, like multiple choice, rankings, and open-ended responses. It also has quantitative and short-answer questions that saves time and helps to more easily draw conclusions. The categories of questions that are requested in market survey while generating Edge AI Hardware marketing report include demographic, competitor, industry, brand, and product.

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Rising need and demand for edge computing programs and services coupled with the rise in IoT application by the various end user industries will lead to the rise in edge AI hardware market value. Data Bridge Market Research analyses that the edge AI hardware market will exhibit a CAGR of 20.15% for the forecast period of 2021-2028. This means that the current market value will rise up to USD 2,768.76 million by the year 2028.

Edge AI Hardware Market Key Trends Analysis

The important factors influencing the growth of the Edge AI Hardware market have been examined in this report. The driving factors that are boosting demand for Edge AI Hardwares and the restraining factors that are slowing growth of the Edge AI Hardware industry are addressed in depth, as well as their implications for the worldwide Edge AI Hardware market. In addition, the published analysis identifies and discusses in detail the trends that are driving the market and impacting its growth. In addition, other qualitative variables such as risks connected with operations and key problems faced by market players are covered in the report.

Edge AI Hardware Market Strategic Analysis

The market was studied using several marketing methodologies such as Porter’s Five Forces Analysis, player positioning analysis, SWOT analysis, market share analysis, and value chain analysis in the Edge AI Hardware market study. The market dynamics and factors such as the threat of a Edge AI Hardware substitute, the threat of new entrants into the Edge AI Hardware market, buyer bargaining power, supplier bargaining power to Edge AI Hardware providing companies, and internal rivalry among Edge AI Hardware providers are analysed in Porter’s Five Forces analysis to provide the report’s readers with a detailed view of the current market dynamics.

This analysis assists report users in evaluating the Edge AI Hardware market based on various parameters such as economies of scale, switching costs, brand loyalty, existing distribution channels, capital investments, manufacturing rights & patents, government regulations, advertising impact, and consumer preference impact. This simplified data is expected to aid the industry’s key decision-makers in their decision-making process. Furthermore, this study answers the crucial question of whether or not new entrants should enter the Edge AI Hardware industry.

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Leading Key Players Operating in the Edge AI Hardware Market Includes:

The major players covered in the edge AI hardware market report are SAMSUNG, Apple Inc., videantis GmbH, Qualcomm Technologies, Inc., NVIDIA Corporation, Premier Farnell Limited., Micron Technology, Inc., Alphabet Inc., Veridify Security Inc., Microsoft, Xilinx, Intel Corporation, Huawei Technologies Co., Ltd., Arm Limited., MediaTek Inc., Applied Brain Research, Horizon Robotics, Cadence Design Systems, Inc. and CEVA, Inc. among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.

Key Market Segments:

  • On the basis of device, the edge AI hardware market is segmented into smartphones, cameras, robots, wearable, smart speaker, automotive and smart mirror.
  • On the basis of processors, the edge AI hardware market is segmented into central processing unit (CPU), graphics processing unit (GPU), application-specific integrated circuit (ASIC) and others.
  • On the basis of power consumption, the edge AI hardware market is segmented into less than 1W, 1-3W, 3-5W, 5-10W and more than 10W.
  • The edge AI hardware market is segmented on the basis of process into training and inference.
  • The edge AI hardware market is also segmented on the basis of end user industry into consumer electronics, smart home, automotive and transportation, government, healthcare, industrial, aerospace and defence, construction and others. Consumer electronics are further sub-segmented into smartphones, wearable and entertainment robots. Smart home is sub-segmented into smart speaker, smart camera and domestic robots. Automotive and transportation is further bifurcated into automobile, surveillance camera and logistics robots. Government is also further classified into surveillance cameras and drones. Healthcare is bifurcated into medical robots and wearable. Industrial is further bifurcated into industrial robots, drones and cameras. Aerospace and defence is further bifurcated into service robots. Construction is bifurcated into service robots and drones. Others segmented is bifurcated into surveillance camera, robots, wearable and smart mirror.

Edge AI Hardware Market, By Region:

  • North America (USA, Canada and Mexico)
  • Europe (Germany, France, the United Kingdom, Netherlands, Russia, Italy and Rest of Europe)
  • Asia-Pacific (China, Japan, Australia, New Zealand, South Korea, India and Southeast Asia)
  • South America (Brazil, Argentina, Colombia, rest of countries etc.)
  • Middle East and Africa (Saudi Arabia, United Arab Emirates, Israel, Egypt, Nigeria and South Africa)

New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request TOC @ https://www.databridgemarketresearch.com/toc/?dbmr=global-edge-ai-hardware-market

All our insights and perspectives are broadly based on 4 Pillars or Stages: ASBC-S, which offer an elaborate and customizable framework for the success of an organization. The essence and the roles of these in organizational successes are highlighted below:

  • Agenda for CXOs: DBMR, through the study, sets the tone for agendas that are pertinent to CEOs, CFOs, CIOs, and other CXO executives of businesses operating in the market. The perspectives help our clients to bridge the gap between agenda and action plan. DBMR strives to offer guidance to CXOs to undertake mission-critical activities empowered by various business analysis tools, and boost the performance of the organizations. The perspectives guide you to decide on your own marketing mix that align well with the policies, visions, and mission.
  • Strategic Frameworks: The study offers how organizations are setting both short-term and long-term strategic plans. Our team of experts collaborate and communicate with you to understand these to make your organizations sustainable and resilient during tough times. The insights help them decide sustainable competitive advantage for each business units.
  • Benchmarking for Deciding Target Markets and Brand Positioning: The assessments in the study provide a scrutiny of marketing channels and marketing mix. Our various teams work synergistically with you to help identify your actual and potential direct, indirect, and budget competition areas. Additionally, the study helps you decide most effective budgets for various processes and promotional activities. Furthermore, the study guides you to set benchmarks for integrating people and processes with the 4Ps of marketing. Eventually, this will empower you to find out unique propositioning strategies and niches.
  • Business Composability for Sustainability (C-S): Constant strategy planning for sustainability characterizing our C-S framework in the report has become more relevant than before in the face of disruptions caused by pandemics, recessions, boom and bust cycles, and changing geopolitical scenario. The DBMR study offers a high level of customization to help you achieve business composability. Composable enterprises are increasingly gaining the attention of CXOs in order to help them combat market volatility. Our analysts and industry experts help you wade through such uncertainties and guide you to become a smart sustainable business in entirety.

The study offers data-driven insights and guidance of several aspects. Some of the more notable questions are:

  • What are the major recent trends that can influence the product life cycle and the ROI?
  • Which regulatory trends shape corporate-level, business-level, and functional-level strategies?
  • Which micromarketing initiatives of leading players will bring in investments?
  • What can be the best framework and tools for PESTLE analysis?
  • Which regions will witness rise in new opportunities?
  • Which are the game-changing technologies being used to capture new revenue streams in the near future?
  • Which operational and tactical frameworks are being adopted by various players in gaining customer loyalty?
  • What is the current and expected intensity of competition the market in the near future?

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