Edge AI Hardware Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)

出版日: | 発行: Mordor Intelligence Pvt Ltd | ページ情報: 英文 120 Pages | 納期: 2-3営業日

価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=110.65円
出版日: 2021年01月01日
発行: Mordor Intelligence Pvt Ltd
ページ情報: 英文 120 Pages
納期: 2-3営業日
  • 全表示
  • 概要
  • 目次



第1章 イントロダクション

  • 調査成果
  • 調査の仮定
  • 調査範囲

第2章 調査方法

第3章 エグゼクティブサマリー

第4章 市場力学

  • 市場概況
  • 市場の成長および阻害要因の概要
  • 市場成長要因
  • 市場の阻害要因
  • 産業バリューチェーン分析
  • 業界の魅力-ポーターのファイブフォース分析
    • 新規参入の脅威
    • バイヤー/消費者の交渉力
    • サプライヤーの交渉力
    • 代替製品の脅威
    • 業界内の競争

第5章 市場セグメント

  • プロセッサー別
    • CPU
    • GPU
    • FPGA
    • ASIC
  • デバイス別
    • スマートフォン
    • カメラ
    • ロボット
    • ウェアラブル
    • スマートスピーカー
    • スマートミラー
    • その他
  • エンドユーザー産業別
    • 政府
    • 家電
    • 不動産
    • 自動車
    • 輸送機関
    • ヘルスケア
    • 製造業
  • 地域別
    • 北米
    • 欧州
    • アジア太平洋地域
    • ラテンアメリカ
    • 中東およびアフリカ地域

第6章 競合情勢

  • 企業プロファイル
    • Intel Corporation
    • NVIDIA Corporation
    • Samsung Electronics Co., Ltd.
    • Huawei Technologies Co., Ltd.
    • Google Inc.
    • MediaTek Inc.
    • Microsoft Corporation
    • Xilinx Inc.
    • Imagination Technologies Limited

第7章 投資分析

第8章 市場機会および将来動向

Product Code: 66635

The edge AI hardware market is anticipated to witness a CAGR of 20.3% over the forecast period 2021 - 2026. During 2018 it is estimated that about 212 million edge AI hardware was shipped and the figure is expected to reach a billion units by 2020. Rapid growth in the number of edge computing products and services, increasing real-time low latency on edge devices are some of the major influencing factors for the growth of edge AI hardware market. Notably, the need for edge computing in IoT and dedicated AI processors for on-device image analytics are the promising areas of market advancement in the edge AI devices.

  • The possibility of performing AI inference without having to transfer the data has generated huge demand for edge AI Hardware market. With the growing number of edge AI devices, businesses can reduce their operational costs in critical cases where latency and accuracy are much required.
  • Constant connectivity with enhanced performance has generated huge demand for edge AI devices among several industrial applications such as government, consumer electronics, real estate, automotive, transportation, healthcare, manufacturing, and others.
  • The market is anticipated to see a high rate of adoption in the coming years owing to increased privacy and security since the companies need not share private or sensitive data with public cloud service providers, especially in healthcare and consumer sectors. A survey conducted by Cloud Security Alliance (CSA) among 200 IT and IT security leaders identified that 73% of survey respondents listed privacy and security of data as their biggest concern.
  • The dearth of skilled AI professionals is anticipated to obstruct the market growth of edge AI hardware.
  • The market is expected to witness intense competition among the key players and several prominent startups, to capture a share of revenue in edge AI hardware market.

Key Market Trends

Surveillance Cameras Segment is Expected to Grow at Significant Rate

  • Governmental bodies across the world, are embracing advanced technologies to address the important aspect of ensuring the security and safety of citizens. Surveillance serves to be a key factor in the process. Some of the major devices for edge AI hardware used by government agencies for the purpose includes surveillance cameras and drones.
  • With the ever-increasing population, environmental damage, and criminal activities, cities are facing new challenges each day, and this has resulted in the need for surveillance cameras. These are very much required for the prevention of incidents such as crime, burglary, and vandalism. Besides, governments also use surveillance cameras for enforcement of the law by analyzing the behavior, face recognition.
  • China is at the forefront of installing AI-based surveillance cameras to scan public places to track anomalies in behavior and criminal identification. A recent journal published in the New York Times revealed that the Chinese government had installed around 200 million surveillance cameras across the country in 2018 and is planning to install another 426 million by 2020. The country aims to spot crimes and accidents easily by integrating private and public cameras, to build a nation-wide surveillance network.

Asia-Pacific to be the Fastest Growing Region

  • Asia-Pacific region is expected to experience the highest growth rate in the global edge AI hardware market. The growing penetration of smartphones in China, Japan, India, and South Korea is expected to increase the adoption of AI processor-enabled smartphones. Moreover, the region is also the most significant market for surveillance cameras owing to the tightened control over the Internet and digital communication by the governments in the respective countries.
  • China is the largest market in the region, followed by Japan. Presence of several significant vendors in the automobile, electronics, and semiconductor companies, who are investing significantly in the AI technology, is driving the growth of the edge AI hardware market in the region. During a one-month period between June and July 2018, Beijing Municipal Commission of Economy and Information Technology counted around 4,040 AI companies in China. Besides, the presence of a large number of manufacturing companies makes the region an attractive market for industrial robots that implements AI technology.
  • Wearable devices also play a significant role in the increasing demand for integration with vision processing units to accelerate AI tasks. Cisco Systems estimates that the number of connected wearable devices could reach 1,105 million units by 2022. End-user industries like manufacturing, telecommunications, and automotive have huge potential in the region.

Competitive Landscape

The edge AI hardware market is currently dominated by few players with their technological expertise in AI technology and the global market is expected to be consolidated in nature. Intel Corporation, NVIDIA Corporation, Qualcomm Inc., Samsung Electronics Co., Ltd., Huawei Technologies Co., Ltd., Google Inc., MediaTek Inc., Xilinx Inc., Imagination Technologies Limited, and Microsoft Corporation are some of the major players present in the current market. However, several prominent AI startups like Cambricon Technology, Horizon Robotics, Hailo Technologies, and Habana Labs are expected to compete with the key players, on the AI inferencing side.

  • March 2019 - NVIDIA published Jetson Nano, an edge computing production for machine learning (ML) inferencing. It enables the development of millions of new small, low-power AI systems in embedded IoT applications, including entry-level Network Video Recorders (NVRs), home robots.
  • May 2019 - Kneron, an AI startup focussed on edge AI solutions unveiled 3D artificial intelligence solution and edge AI chip KL520 with n idea to provide AI solutions for the smart home, smart surveillance, smartphones, robots, drones, and IoT devices.
  • September 2018 - Intel in collaboration with Alibaba Cloud launched a Joint Edge Computing Platform. Enterprises would be able to develop customizable device-to-cloud IoT solutions for different edge computing scenarios with the help of the platform, including industrial manufacturing, smart building, and smart community.

Reasons to Purchase this report:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support



  • 1.1 Study Assumptions
  • 1.2 Scope of the Study




  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Increasing Penentration of AI in Edge Devices
    • 4.2.2 Increasing Real-time Low Latency on Edge Devices
  • 4.3 Market Restraints
    • 4.3.1 Security Concerns Related to Edge AI Devices
  • 4.4 Industry Value Chain Analysis
  • 4.5 Industry Attractiveness - Porter's Five Force Analysis
    • 4.5.1 Threat of New Entrants
    • 4.5.2 Bargaining Power of Buyers/Consumers
    • 4.5.3 Bargaining Power of Suppliers
    • 4.5.4 Threat of Substitute Products
    • 4.5.5 Intensity of Competitive Rivalry


  • 5.1 By Processors
    • 5.1.1 CPU
    • 5.1.2 GPU
    • 5.1.3 FPGA
    • 5.1.4 ASICs
  • 5.2 By Device
    • 5.2.1 Smartphones
    • 5.2.2 Cameras
    • 5.2.3 Robots
    • 5.2.4 Wearables
    • 5.2.5 Smart Speaker
    • 5.2.6 Other Devices
  • 5.3 By End-User Industry
    • 5.3.1 Government
    • 5.3.2 Real Estate
    • 5.3.3 Consumer Electronics
    • 5.3.4 Automotive
    • 5.3.5 Transportation
    • 5.3.6 Healthcare
    • 5.3.7 Manufacturing
  • 5.4 Geography
    • 5.4.1 North America
      • United States
      • Canada
    • 5.4.2 Europe
      • United Kingdom
      • Germany
      • France
      • Rest of Europe
    • 5.4.3 Asia-Pacific
      • China
      • Japan
      • South Korea
      • Rest of Asia-Pacific
    • 5.4.4 Rest of the World
      • Latin America
      • Middle-East & Africa


  • 6.1 Company Profiles
    • 6.1.1 Intel Corporation
    • 6.1.2 Huawei Technologies Co., Ltd.
    • 6.1.3 Nvidia Corporation
    • 6.1.4 Advanced Micro Devices, Inc.
    • 6.1.5 Baidu, Inc
    • 6.1.6 Alphabet Inc.
    • 6.1.7 Qualcomm Incorporated
    • 6.1.8 Samsung Group
    • 6.1.9 Apple Inc.
    • 6.1.10 Amazon.com, Inc.
    • 6.1.11 Alibaba Group Holding Limited
    • 6.1.12 Continental AG
    • 6.1.13 Denso Corporation
    • 6.1.14 Robert Bosch GmbH
    • 6.1.15 KALRAY Corporation
    • 6.1.16 MediaTek Inc.
    • 6.1.17 Xilinx Inc.