Edge AI Hardware Market - Growth, Trends, and Forecast (2019 - 2024)

The Edge AI Hardware Market is segmented by Processors (CPU, GPU, FPGA, ASIC), Devices (Smartphones, Cameras, Robots, Wearables, Smart Speaker, Smart Mirror), End-user Industry (Government, Consumer Electronics, Real Estate, Automotive, Transportation, Healthcare, Manufacturing), and Geography.

Market Snapshot

CAGR
Study Period:

2018-2024

Base Year:

2018

Fastest Growing Market:

Asia Pacific

Largest Market:

North America

CAGR:

20.3%

Key Players:

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Market Overview

The edge AI hardware market is anticipated to witness a CAGR of 20.3% over the forecast period 2019 - 2024. 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. Especially, 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.

Scope of the Report

The scope for edge AI hardware market primarily includes processors, sensors, cameras that address the need for cognitive computing needs. These devices are used to power and process various AI-based devices. Various types of processors used in edge AI devices include semiconductor products such as central processing units (CPU), graphic processing unit (GPU), field-programmable gate array (FPGA), and application-specific integrated circuits (ASICs).

By Processors
CPU
GPU
FPGA
ASICs
By Device
Smartphones
Cameras
Robots
Wearables
Smart Speaker
Smart Mirror
Other Devices
By End-User Industry
Government
Consumer Electronics
Real Estate
Automotive
Transportation
Healthcare
Manufacturing
Geography
North America
Europe
Asia-Pacific
Latin America
Middle East & Africa

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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.
Trend 1

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Asia-Pacific is the Largest and 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.
Trend 2

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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.

Major Players

  1. Intel Corporation
  2. NVIDIA Corporation
  3. Samsung Electronics Co., Ltd.
  4. Huawei Technologies Co. Ltd.
  5. MediaTek Inc.

* Complete list of players covered available in the table of contents below

Market Condition

Table of Contents

  1. 1. INTRODUCTION

    1. 1.1 Study Deliverables

    2. 1.2 Study Assumptions

    3. 1.3 Scope of the Study

  2. 2. RESEARCH METHODOLOGY

  3. 3. EXECUTIVE SUMMARY

  4. 4. MARKET DYNAMICS

    1. 4.1 Market Overview

    2. 4.2 Introduction to Market Drivers and Restraints

    3. 4.3 Market Drivers

      1. 4.3.1 Rapid Growth in the Number of Edge Computing Products and Services

      2. 4.3.2 Increasing Penentration of AI in Edge Devices

      3. 4.3.3 Increasing Real-time Low Latency on Edge Devices

    4. 4.4 Market Restraints

      1. 4.4.1 Security Concerns Related to Edge AI Devices

      2. 4.4.2 Dearth of Skilled AI Professionals

    5. 4.5 Industry Value Chain Analysis

    6. 4.6 Industry Attractiveness - Porter's Five Force Analysis

      1. 4.6.1 Threat of New Entrants

      2. 4.6.2 Bargaining Power of Buyers/Consumers

      3. 4.6.3 Bargaining Power of Suppliers

      4. 4.6.4 Threat of Substitute Products

      5. 4.6.5 Intensity of Competitive Rivalry

  5. 5. MARKET SEGMENTATION

    1. 5.1 By Processors

      1. 5.1.1 CPU

      2. 5.1.2 GPU

      3. 5.1.3 FPGA

      4. 5.1.4 ASICs

    2. 5.2 By Device

      1. 5.2.1 Smartphones

      2. 5.2.2 Cameras

      3. 5.2.3 Robots

      4. 5.2.4 Wearables

      5. 5.2.5 Smart Speaker

      6. 5.2.6 Smart Mirror

      7. 5.2.7 Other Devices

    3. 5.3 By End-User Industry

      1. 5.3.1 Government

      2. 5.3.2 Consumer Electronics

      3. 5.3.3 Real Estate

      4. 5.3.4 Automotive

      5. 5.3.5 Transportation

      6. 5.3.6 Healthcare

      7. 5.3.7 Manufacturing

    4. 5.4 Geography

      1. 5.4.1 North America

      2. 5.4.2 Europe

      3. 5.4.3 Asia-Pacific

      4. 5.4.4 Latin America

      5. 5.4.5 Middle East & Africa

  6. 6. COMPETITIVE LANDSCAPE

    1. 6.1 Company Profiles

      1. 6.1.1 Intel Corporation

      2. 6.1.2 NVIDIA Corporation

      3. 6.1.3 Samsung Electronics Co., Ltd.

      4. 6.1.4 Huawei Technologies Co., Ltd.

      5. 6.1.5 Google Inc.

      6. 6.1.6 MediaTek Inc.

      7. 6.1.7 Microsoft Corporation

      8. 6.1.8 Xilinx Inc.

      9. 6.1.9 Imagination Technologies Limited

    2. *List Not Exhaustive
  7. 7. INVESTMENT ANALYSIS

  8. 8. MARKET OPPORTUNITIES AND FUTURE TRENDS

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