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Edge AI Hardware Market by Devic, Processor, Power Consumption, Process, End User Industry, and Region - Global Forecast to 2024

Dublin, April 25, 2019 (GLOBE NEWSWIRE) -- The "Edge AI Hardware Market by Device (Smartphones, Cameras, Robots, Automobile, Smart Speakers, Wearables, and Smart Mirror), Processor (CPU, GPU, ASIC and Others), Power Consumption, Process, End User Industry, and Region - Global Forecast to 2024" report has been added to ResearchAndMarkets.com's offering.


The edge AI hardware market registered a shipment of 423.1 million units in 2018 and is likely to reach 1.56 billion units by 2024, at a CAGR of 20.64% during the forecast period.

Artificial intelligence is the ability of a computer-enabled robotic system to process information and produce outcomes in a manner similar to the thought process of humans in learning, decision-making, and problem-solving. By extension, the goal of systems is to develop systems capable of tackling complex problems in ways similar to human logic and reasoning.

Artificial intelligence (AI) is shifting from cloud to edge devices. Increase in computing power, along with efficient hardware and robust software, drives machine learning in edge devices. Edge computing techniques are used to move data processing close to the source of data, rather than limiting the processing power in cloud/data centers. The combination of IoT and edge computing can reduce latencies and increase the penetration of AI in industries.

Major drivers for the market's growth are growing demand for low latency and real-time processing on edge devices and emergence of AI coprocessors for edge computing.

Further, underlying opportunities for the edge AI hardware market include growing demand for edge computing in IoT and dedicated AI processors for on-device image analytics. Major restraints for the market are limited on-device training and limited number of AI experts. Power consumption and size constraint pose major challenges to the edge AI hardware market.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights

5 Market Overview
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Growing Demand for Low Latency and Real-Time Processing on Edge Devices
5.2.1.2 Emergence of AI Coprocessors for Edge Computing
5.2.1.3 Reduction in Data Storage and Operations Cost
5.2.2 Restraints
5.2.2.1 Limited On-Device Training
5.2.2.2 Limited Number of AI Experts
5.2.3 Opportunities
5.2.3.1 Dedicated AI Processors for On-Device Image Analytics
5.2.3.2 Growing Demand for Edge Computing in Iot
5.2.4 Challenges
5.2.4.1 Power Consumption and Size Constraint

6 Edge AI Hardware Market, By Device
6.1 Introduction
6.2 Smartphones
6.2.1 Smartphones to Dominate Edge AI Hardware Market During the Forecast Period
6.3 Cameras
6.3.1 Surveillance Expected to Be A Major Application for AI Based Cameras
6.4 Robots
6.4.1 Robotics is One of the Fastest Growing Market for Edge AI Hardware
6.5 Wearables
6.5.1 Eye Wear Expected to Be Major Market Edhe AI Hardware in Wearables
6.6 Smart Speaker
6.6.1 Smart Speakers are Now Being Used to Control Smart Home Products
6.7 Automotive
6.7.1 Semi-Autonomous and Autonomous Vehicles to Drive Edhe AI Hardware Market for Automotive
6.8 Smart Mirror
6.8.1 Retail to Be A Major Industry for Smart Mirror

7 Edge AI Hardware Market, By Processors
7.1 Introduction
7.2 CPU
7.2.1 CPU to Hold Largest Share of Edge AI Hardware Market for Processors
7.3 GPU
7.3.1 Automotive and Robotics to Be Major Market for GPU
7.4 Asic
7.4.1 CPU to Be Replaced By Asic for AI Based Applications
7.5 Others

8 Edge AI Hardware Market, By Power Consumption
8.1 Introduction
8.2 Less Than 1 W
8.2.1 Wearables Expected to Be the Major Contributors of Edge AI Hardware Market for Less Than 1 W Power Consumption
8.3 1-3 W
8.3.1 Smartphones to Dominate Edge AI Hardware Market for 1-3 W
8.4 3-5 W
8.4.1 Smart Speakers Expected to Lead Edge AI Hardware Market for 3-5 W
8.5 5-10 W
8.5.1 Surveillance Cameras and Drones Expected to Be Major Contributors to the Edge AI Hardware Market for 5-10 W
8.6 More Than 10 W
8.6.1 Automobile Expected to Grow at Highest Rate in Edge AI Hardware Market for 5-10 W

9 Edge AI Hardware Market, By Process
9.1 Introduction
9.2 Training
9.2.1 Training is Mostly Done on Cloud
9.3 Inference
9.3.1 Development of Efficient Processors Driving Edge Inference Market

10 Edge AI Hardware Market, By End-User Industry
10.1 Introduction
10.2 Consumer Electronics
10.2.1 Smartphones
10.2.1.1 On-Device AI Uses Dedicated AI Chipsets That Will Become Prominent in All Smartphones in the Near Future
10.2.2 Wearables
10.2.2.1 The Implementation of AI in Ar/Vr Technology Offers Very Fast and Immersive Experience for Gaming
10.2.3 Entertainment Robots
10.2.3.1 On-Device AI on Robotic Pets Market has Opportunity to Grow Exponentially
10.3 Smart Home
10.3.1 Smart Speaker
10.3.1.1 Smart Speaker are Being Used to Control Smart Home Devices
10.3.2 Smart Camera
10.3.2.1 Power-Efficient Solutions for Vision and Artificial Intelligence are Now Entering the Market.
10.3.3 Domestic Robots
10.3.3.1 On-Device AI in Domestic Robot Improves Its Capabilities of Acquiring New Knowledge and Skills.
10.4 Automotive & Transportation
10.4.1 Automobile
10.4.1.1 AI Addresses the Issue of Safety Through Advanced Driver Assistance System (ADAS)
10.4.2 Surveillance Camera
10.4.2.1 Vehicle Number Late Recognition, Vehicle Count, and Vehicle Recognition are the Major Applications
10.4.3 Logistics Robots
10.4.3.1 Logistics Robot Expected to Be A Major Application of Edge AI in Transportation
10.5 Government
10.5.1 Surveillance Camera
10.5.1.1 AI Based Surveillance Cameras Will Be Used for Law Enforcement
10.5.2 Drones
10.5.2.1 AI Based Drones to Be Utilized for Police Operations & Investigations
10.6 Healthcare
10.6.1 Medical Robots
10.6.1.1 Ai-Based Robots are Being Introduced for Patient Assistance and Medicine Dispensing.
10.6.2 Wearables
10.6.2.1 Wearables to Dominate Edge AI Hardware Market in Healthcare
10.7 Industrial
10.7.1 Industrial Robots
10.7.1.1 Robots Needs AI in Order to Respond to Environment
10.7.2 Drones
10.7.2.1 AI Based Drones to Automate the Inspection Process Related to Infrastructure.
10.7.3 Cameras
10.7.3.1 Ai-Based Cameras are Capable of Observing and Learning From the Past, Acting in the Present, and Anticipating Future.
10.8 Aerospace & Defense
10.8.1 Service Robots
10.8.1.1 Service Robots to Drive Edge AI Hardware Market in Aerospace Industry
10.9 Construction
10.9.1 Service Robots
10.9.1.1 AI Based Robots are in the Early Stage of Deployment in the Construction Industry
10.9.2 Drones
10.9.2.1 Construction Companies Have Started Using AI Drones to Scan and Map Building Sites.
10.1 Others
10.10.1 Surveillance Camera
10.10.2 Robots
10.10.3 Wearables
10.10.4 Smart Mirror

11 Geographic Analysis

12 Competitive Landscape
12.1 Overview
12.2 Ranking Analysis of Key Players in Edge AI Hardware Market
12.3 Competitive Situations and Trends
12.4 Competitive Leadership Mapping

13 Company Profiles
13.1 Key Players
13.1.1 Intel Corporation
13.1.2 NVIDIA Corporation
13.1.3 Huawei
13.1.4 Qualcomm
13.1.5 Samsung Electronics
13.1.6 Apple
13.1.7 Microsoft
13.1.8 Micron Technology
13.1.9 Xilinx
13.1.10 ARM
13.1.11 Alphabet
13.1.12 Mediatek
13.1.13 Applied Brain Research
13.1.14 Horizon Robotics
13.1.15 Cadence
13.1.16 Ceva
13.1.17 Imagination Technologies
13.1.18 Synopsys Inc
13.1.19 Hailo
13.1.20 SecureRF Corporation
13.2 Other Key Players
13.2.1 Thinci
13.2.2 General Vision
13.2.3 Mythic
13.2.4 Adapteva, Inc.
13.2.5 Tenstorrent
13.2.6 Verisilicon
13.2.7 Videantis

For more information about this report visit https://www.researchandmarkets.com/r/ocy94u

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Related Topics: Hardware, Processing Units, Artificial Intelligence