Edge AI Hardware Market

Edge AI Hardware Market by Device, Processor (CPU, GPU, and ASIC), Function, Power Consumption (Less than 1 W, 1-3 W, 3-5 W, 5-10 W, and more than 10 W), Vertical and Geography - Global Forecast to 2027

Report Code: SE 7017 Oct, 2022, by marketsandmarkets.com

Updated on : April 24, 2023

Edge AI Hardware Market Size

The global Edge AI hardware market is projected to grow from 1,056 Million Units in 2022 and expected to reach 2,716 million units by 2027; it is expected to grow at a CAGR of 20.8% during the forecast period.

Edge AI Hardware Market Share

Key opportunities for the edge AI hardware industry include the growing demand for IoT-based edge computing solutions and the rising adoption of 5G networks to bring IT and telecom together and dedicated AI processors for on-device image analytics.

 

Edge AI Hardware Market

Edge AI Hardware Market Forecast to 2027

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Market Dynamics:

Driver: Requirement for low latency and real-time data transmission mission-critical applications

In edge AI, machine learning algorithms process IoT-generated data to near-end devices to overcome the problem of high latency and lack of security. A large volume of data gathered from an IoT device is transmitted to the cloud, where machine learning (ML) models run and transmit the processed data back to the device, which may lead to a delay in response. However, on-device AI reduces data sharing, enabling a faster response. In addition, it may not be feasible to store a large volume of data on the cloud. In edge AI, the processing power resides on the device/s; hence, sending this data to the cloud is not required, thereby reducing the costs.

Restraint: Limitations pertaining to edge AI devices

Currently, pre-trained ML models for edge AI are used for inference. These models fine-tune themselves based on users’ data and requirements. Training a model consumes a lot of computational power, and edge AI is more likely to suffer from uncertainty and randomness as it has limited access to training data. Further, edge AI can take small transfer learning tasks but cannot take up the tasks that require deep learning.

Opportunity: Emergence of 5G networks that bring IT and telecom together

The launch of 5G networks is bringing IT and telecommunications together to introduce new features for high-end applications and reduce network latency. The 5G network enables the establishment of data centers at edge modules, as well as implement industry-specific networks aided by virtualization and software-defined networking principles in a single environment. Critical AI applications, such as autonomous vehicles, industry automation, surgery, and robotics, demand ultra-low latency (less than a round trip delay of 1 millisecond). These low latency rates can be achieved by installing new hardware in air interfaces and deploying edge nodes. The emergence of 5G networks across different applications is expected to increase the volume of data transferred to data centers, thereby increasing the need for intermediary servers or edge networks.

Challenge: Designing efficient edge AI system

Edge AI devices such as smartphones, surveillance/security cameras, drones, and robots have on-device intelligence; hence, such devices can decide on the closest point of interaction with the user. However, edge AI devices face certain challenges related to power consumption and device size. Cloud-based AI offers advantages such as easier implementation, integration, and scaling, shifting the cost burden from capital to operational expenditure. Cloud-based AI also has the advantage of storing data centrally and off-premises. The size of a neural network is directly proportional to the demand for power, and an increase in size will lead to higher power consumption. The optimization of power consumption with the help of software for deep neural network models is a challenge. There is a need to focus on the joint design of algorithms and hardware to achieve high-performance and power-efficient on-device AI.

Smartphones to account for the largest market share of the edge AI hardware market by 2027

Smartphones accounted for the largest share of of the edge AI hardware market, in terms of volume, for devices in 2021The increasing demand for smartphones is expected to drive the growth of market during the forecast period. Edge AI offers added capabilities to smartphones in terms of imaging and photography, power efficiency, and security. The wearables segment is expected to witness the fastest growth rate during the forecast period. This high growth rate could be attributed to the rapid development of smart wearables. Wearables are becoming smarter, and the inclusion of AI and edge computing could further enhance their capabilities.

1–3 W  power consumption to account for largest market share of the edge AI hardware market by 2027

Edge AI devices consuming 1–3 W of electricity are likely to lead the market during the forecast period. Smartphones are the major devices that consume 1–3 watts of electrical energy. As the demand for smartphones is increasing, the market for the 1–3 W segment is likely to witness significant growth during the forecast period.  

Asia Pacific to have the largest market share in the edge AI hardware) market during the forecast period

Asia Pacific is expected to witness the highest CAGR during the forecast period. In Asia Pacific, China is the largest market for artificial intelligence, followed by Japan; this makes the region an attractive market for edge AI hardware applications. The presence of a large number of manufacturing companies, along with the strong presence of automobile, and electronics and semiconductor companies in China and Japan drives the growth of the edge AI hardware market in Asia Pacific.

Edge AI Hardware Market by Region

Edge AI Hardware Market by Region

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Key Market Players

Apple (US), MediaTek (Taiwan), Qualcomm Technologies (US), Huawei Technologies (China), Samsung Electronics (South Korea), Intel (US), NVIDIA (US), IBM(US), Google (US), Microsoft (US) are among the key players operating in the edge AI hardware companies.

Edge AI Hardware Market Report Scope

Report Metric

Details

Estimated Market Size  USD 1,056 Million
Market size value in 2027  USD 2,716 Million
CAGR (2022-2027)  20.8%

Market size available for years

2018–2027

Base year considered

2021

Forecast period

2022–2027

Forecast units

Volume (Million Units)

Segments covered

  • Processor,
  • Power Consumption,
  • Device,
  • Function,
  • Vertical
  • Region

Regions covered

  • North America,
  • Asia Pacific,
  • Europe,
  • RoW

Companies covered

  • Apple (US),
  • MediaTek (Taiwan),
  • Qualcomm Technologies (US),
  • Huawei Technologies (China),
  • Samsung Electronics (South Korea),
  • Intel (US),
  • NVIDIA (US),
  • IBM(US),
  • Google (US),
  • Microsoft (US)
    are among the key players operating in the Edge AI hardware market.

Largest Growing Region

Asia Pacific

Largest Market Share Segment

Smartphones Segment

Largest Application Market Share

5G Networks

Edge AI Hardware Market Highlights

This research report categorizes the edge AI hardware market based on Processor, Power Consumption, Device, Function, Vertical And Region

Aspect

Details

By Device

  • Introduction
  • Smartphones
  • Surveillance Cameras
  • Robots
  • Wearables
  • Edge Servers
  • Smart Speakers
  • Automotive
  • Smart Mirrors

By Power Consumption

  • Less Than 1W
  • 1-3W
  • 3-5W
  • 5-10W
  • More Than 10W

By Processor

  • CPU
  • GPU
  • ASIC
  • Others

By Function

  • Training
  • Inference

By Vertical

  • Consumer Electronics
    • Smartphones
    • Wearables
    • Entertainment Robots
  • Smart Home
    • Smart Speakers
    • Smart Cameras
    • Domestic Robots
  • Automotive & Transportation
    • Automotive
    • Surveillance Cameras
    • Logistics Robots
  • Government
    • Surveillance Cameras
    • Drones
  • Healthcare
    • Medical Robots
    • Wearables
  • Industrial
    • Industrial Robots
    • Drones
    • Cameras
  • Aerospace & Defense
  • Construction
    • Service Robots
    • Drones
  • Others
    • Surveillance Cameras
    • Robots
    • Wearables
    • Smart Mirrors

By Region

  • North America
  • Europe
  • Asia Pacific
  • RoW

Recent Developments

  • In June 2022, Qualcomm Technologies has announced the launch of the Qualcomm AI Stack portfolio, accelerating the company’s leadership position in artificial intelligence (AI) and Connected Intelligent Edge technologies. Qualcomm AI Stack is a comprehensive AI solution and will offer OEMs and developers various intelligent devices with broad AI software access and compatibility. 
  • In March 2022, Intel’s Habana Labs has launched second-generation AI processors for training and inferencing. In March 2022, Amphenol Corporation has expanded its SURLOK Plus Series to include 8 mm and 10.3 mm right-angle connectors, with a voltage range of 1500 VDC to meet energy storage and high-power connection and transfer requirements.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 29)
    1.1 STUDY OBJECTIVES
    1.2 MARKET DEFINITION
    1.3 MARKET SCOPE
           1.3.1 MARKETS COVERED
                    FIGURE 1 EDGE AI HARDWARE MARKET SEGMENTATION
           1.3.2 INCLUSIONS AND EXCLUSIONS
           1.3.3 REGIONAL SCOPE
           1.3.4 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED
    1.5 UNITS CONSIDERED
    1.6 LIMITATIONS
    1.7 STAKEHOLDERS
    1.8 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY (Page No. - 34)
    2.1 RESEARCH DATA
           FIGURE 2 PROCESS FLOW: EDGE AI HARDWARE INDUSTRY SIZE ESTIMATION
           FIGURE 3 EDGE AI HARDWARE MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY AND PRIMARY RESEARCH
           2.1.2 SECONDARY DATA
                    2.1.2.1 Secondary sources
                    2.1.2.2 List of key secondary sources
           2.1.3 PRIMARY DATA
                    2.1.3.1 Primary sources
                    2.1.3.2 Key industry insights
                    2.1.3.3 Primary interviews with experts
                    2.1.3.4 List of key primary respondents
                    2.1.3.5 Breakdown of primaries
    2.2 MARKET SIZE ESTIMATION
           2.2.1 BOTTOM-UP APPROACH
                    2.2.1.1 Demand-side analysis
                               FIGURE 4 EDGE AI HARDWARE ANALYSIS : BOTTOM-UP APPROACH
           2.2.2 TOP-DOWN APPROACH
                    2.2.2.1 Approach to derive market size using top-down analysis
                               FIGURE 5 EDGE AI HARDWARE ANALYSIS : TOP-DOWN APPROACH
    2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
           FIGURE 6 DATA TRIANGULATION
    2.4 RESEARCH ASSUMPTIONS
    2.5 RISK ASSESSMENT
           TABLE 1 ANALYSIS OF RISK FACTORS

3 EXECUTIVE SUMMARY (Page No. - 46)
    FIGURE 7 SMARTPHONES TO DOMINATE MARKET THROUGHOUT FORECAST PERIOD
    FIGURE 8 CONSUMER ELECTRONICS VERTICAL TO COMMAND EDGE AI MARKET FROM 2022 TO 2027
    FIGURE 9 TRAINING SEGMENT TO WITNESS HIGHER CAGR IN MARKET, BY FUNCTION, FROM 2022 TO 2027
    FIGURE 10 ASIA PACIFIC HELD LARGEST SHARE OF MARKET, IN TERMS OF VOLUME, IN 2021

4 PREMIUM INSIGHTS (Page No. - 50)
    4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR PLAYERS IN EDGE AI HARDWARE MARKET
           FIGURE 11 EMERGENCE OF 5G NETWORKS TO CREATE LUCRATIVE OPPORTUNITIES FOR PROVIDERS OF EDGE AI HARDWARE PRODUCTS
    4.2 MARKET, BY DEVICE
           FIGURE 12 SMARTPHONES TO HOLD LARGEST SHARE OF MARKET, IN TERMS OF VOLUME, IN 2027
    4.3 MARKET, BY VERTICAL
           FIGURE 13 CONSUMER ELECTRONICS TO ACCOUNT FOR LARGEST MARKET SHARE, IN TERMS OF VOLUME, FROM 2022 TO 2027
    4.4 MARKET, BY PROCESSOR
           FIGURE 14 CPU TO CAPTURE LARGEST MARKET SHARE, IN TERMS OF VOLUME, IN 2027
    4.5 MARKET, BY POWER CONSUMPTION
           FIGURE 15 3–5 W EDGE AI HARDWARE HELD LARGEST MARKET SHARE, IN TERMS OF VOLUME, IN 2021
    4.6 MARKET, BY FUNCTION
           FIGURE 16 INFERENCE TO HOLD LARGER MARKET SHARE THAN TRAINING, IN TERMS OF VOLUME, IN 2027
    4.7 GEOGRAPHIC SNAPSHOT OF EDGE AI HARDWARE MARKET REVENUE IMPACT REPORT, 2022–2027
           FIGURE 17 MEXICO TO REGISTER HIGHEST CAGR IN GLOBAL EDGE AI HARDWARE MARKET FROM 2022 TO 2027

5 MARKET OVERVIEW (Page No. - 54)
    5.1 INTRODUCTION
    5.2 MARKET DYNAMICS
           FIGURE 18 EDGE AI HARDWARE MARKET FORECAST : DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
           5.2.1 DRIVERS
                    5.2.1.1 Requirement for low latency and real-time data transmission in mission-critical applications
                    5.2.1.2 Focus of market players on launching innovative AI coprocessors for edge devices
                    5.2.1.3 Cost advantages of moving AI processing to edge computing
                    5.2.1.4 Need to avoid overloading cloud networks with unnecessary data
                    5.2.1.5 Development of intelligent applications
                               FIGURE 19 IMPACT ANALYSIS: DRIVERS
           5.2.2 RESTRAINTS
                    5.2.2.1 Limitations pertaining to edge AI devices
                    5.2.2.2 Shortage of AI experts
                               FIGURE 20 IMPACT ANALYSIS: RESTRAINTS
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Development of dedicated AI processors for on-device image analytics
                    5.2.3.2 Use of edge AI- and IoT-based complementary models
                    5.2.3.3 Emergence of 5G networks that bring IT and telecom together
                               FIGURE 21 IMPACT ANALYSIS: OPPORTUNITIES
           5.2.4 CHALLENGES
                    5.2.4.1 Designing efficient edge AI systems
                    5.2.4.2 Optimizing edge AI standards
                               FIGURE 22 IMPACT ANALYSIS: CHALLENGES
    5.3 EVOLUTION
           FIGURE 23 EVOLUTION OF EDGE AI
    5.4 VALUE CHAIN ANALYSIS
           FIGURE 24 VALUE CHAIN ANALYSIS
    5.5 CASE STUDY ANALYSIS
           5.5.1 CASE STUDY 1: CREATION OF MOTION INTELLIGENCE WITH IMAGIMOB’S SENSORBEAT AI SOLUTION
           5.5.2 CASE STUDY 2: USE OF IMAGIMOB’S SENSORBEAT AI SOFTWARE FOR PREDICTIVE MAINTENANCE
           5.5.3 CASE STUDY 3: IMPLEMENTATION OF ML ALGORITHMS TO PERSONALIZE BANKING EXPERIENCE
           5.5.4 CASE STUDY 4: ADOPTION OF EUROTECH’S HPEC SYSTEMS IN AUTONOMOUS VEHICLES FOR SITUATIONAL AWARENESS
           5.5.5 CASE STUDY 5: DEPLOYMENT OF BYTELAKE’S EDGE AI STARTER KIT IN RETAIL SHOPS TO DETECT GROCERY ITEMS
           5.5.6 CASE STUDY 6: UTILIZATION OF BYTELAKE’S EDGE AI STARTER KIT FOR TRAFFIC ANALYTICS
    5.6 TECHNOLOGY ANALYSIS
           5.6.1 EDGE AI AND INTERNET OF THINGS (IOT)
           5.6.2 EDGE AI AND 5G
           5.6.3 EDGE AI AND BLOCKCHAIN
    5.7 PORTER’S FIVE FORCES ANALYSIS
           FIGURE 25 PORTER’S FIVE FORCES ANALYSIS
           TABLE 2 IMPACT OF PORTER’S FIVE FORCES ON EDGE AI HARDWARE MARKET, 2021
           5.7.1 THREAT OF NEW ENTRANTS
           5.7.2 THREAT OF SUBSTITUTES
           5.7.3 BARGAINING POWER OF SUPPLIERS
           5.7.4 BARGAINING POWER OF BUYERS
           5.7.5 INTENSITY OF COMPETITIVE RIVALRY
    5.8 EDGE AI MARKET ECOSYSTEM
           FIGURE 26 ECOSYSTEM OF EDGE AI
           TABLE 3 EDGE AI HARDWARE MARKET SHARE ECOSYSTEM, BY KEY PLAYER
    5.9 PATENT ANALYSIS
           FIGURE 27 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2011–2021
           TABLE 4 TOP 20 PATENT OWNERS IN US, 2011–2021
           FIGURE 28 NUMBER OF PATENTS GRANTED EVERY YEAR FROM 2011 TO 2021
           TABLE 5 LIST OF PATENTS
    5.10 TARIFF AND REGULATORY LANDSCAPE
           5.10.1 INTRODUCTION
                    5.10.1.1 Export-import regulations
           5.10.2 GENERAL DATA PROTECTION REGULATION
           5.10.3 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
           5.10.4 FEDERAL TRADE COMMISSION
           5.10.5 FEDERAL COMMUNICATIONS COMMISSION
           5.10.6 ISO/IEC JTC 1/SC 42
           5.10.7 ROHS DIRECTIVE AND WEEE DIRECTIVE
    5.11 TRADE AND TARIFF ANALYSES
           5.11.1 TRADE DATA FOR HS CODE 854231
                     FIGURE 29 IMPORT DATA, BY COUNTRY, 2017−2021 (USD BILLION)
                     FIGURE 30 EXPORT DATA, BY COUNTRY, 2017−2021 (USD BILLION)
           5.11.2 TARIFF ANALYSIS
                     TABLE 6 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY US, 2021
                     TABLE 7 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY CHINA, 2021
                     TABLE 8 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY HONG KONG, 2021
                     TABLE 9 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY SINGAPORE, 2021
                     TABLE 10 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY MALAYSIA, 2021
    5.12 MARKET TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
           FIGURE 31 REVENUE SHIFT IN EDGE AI HARDWARE MARKET
    5.13 KEY CONFERENCES AND EVENTS, 2022–2023
           TABLE 11 EDGE AI HARDWARE MARKET INSIGHTS : DETAILED LIST OF CONFERENCES AND EVENTS
    5.14 PRICING ANALYSIS
           5.14.1 AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS
                     FIGURE 32 AVERAGE SELLING PRICE OF TOP 3 HARDWARE PROCESSORS OFFERED BY KEY PLAYERS
                     TABLE 12 AVERAGE SELLING PRICE OF KEY PLAYERS FOR TOP 3 HARDWARE PROCESSORS (USD)
           5.14.2 AVERAGE SELLING PRICE TREND
                     FIGURE 33 EDGE AI HARDWARE MARKET: AVERAGE PRICE OF AI PROCESSORS
    5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
           5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
                     FIGURE 34 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 VERTICALS
                     TABLE 13 INFLUENCE OF STAKEHOLDERS ON TOP 3 VERTICALS ON BUYING PROCESS (%)
           5.15.2 BUYING CRITERIA
                     FIGURE 35 KEY BUYING CRITERIA OF TOP 3 VERTICALS
                     TABLE 14 KEY BUYING CRITERIA OF TOP 3 VERTICALS

6 EDGE AI HARDWARE MARKET, BY DEVICE (Page No. - 86)
    6.1 INTRODUCTION
           FIGURE 36 EDGE AI HARDWARE MARKET INSIGHTS, BY DEVICE
           FIGURE 37 WEARABLES TO WITNESS HIGHEST CAGR IN EDGE AI HARDWARE MARKET ANALYSIS, IN TERMS OF VOLUME, DURING FORECAST PERIOD
           TABLE 15 MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS)
           TABLE 16 MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS)
           TABLE 17 MARKET, BY DEVICE, 2018–2021 (USD MILLION)
           TABLE 18 MARKET, BY DEVICE, 2022–2027 (USD MILLION)
    6.2 SMARTPHONES
           6.2.1 DEDICATED AI CHIPS SAID TO BE KEY DEVELOPMENT IN SMARTPHONES
                    TABLE 19 SMARTPHONES: EDGE AI HARDWARE MARKET ANALYSIS, BY REGION, 2018–2021 (THOUSAND UNITS)
                    TABLE 20 SMARTPHONES: EDGE AI HARDWARE MARKET, BY REGION, 2022–2027 (THOUSAND UNITS)
    6.3 SURVEILLANCE CAMERAS
           6.3.1 PUBLIC SAFETY TO BE MAJOR REASON TO DEPLOY AI-BASED CAMERAS
                    TABLE 21 SURVEILLANCE CAMERAS: MARKET, BY APPLICATION, 2018–2021 (THOUSAND UNITS)
                    TABLE 22 SURVEILLANCE CAMERAS: MARKET, BY APPLICATION, 2022–2027 (THOUSAND UNITS)
                    FIGURE 38 ASIA PACIFIC TO EXHIBIT HIGHEST CAGR IN MARKET FOR SURVEILLANCE CAMERAS DURING FORECAST PERIOD
                    TABLE 23 SURVEILLANCE CAMERAS: MARKET, BY REGION, 2018–2021 (THOUSAND UNITS)
                    TABLE 24 SURVEILLANCE CAMERAS: MARKET, BY REGION, 2022–2027 (THOUSAND UNITS)
    6.4 ROBOTS
           6.4.1 INTEGRATION OF AI INTO INDUSTRIAL ROBOTS ENABLES THEM TO MONITOR THEIR ACCURACY AND PERFORMANCE
                    TABLE 25 DRONES: EDGE AI HARDWARE MARKET, BY APPLICATION, 2018–2021 (THOUSAND UNITS)
                    TABLE 26 DRONES: MARKET, BY APPLICATION, 2022–2027 (THOUSAND UNITS)
                    TABLE 27 ROBOTS: MARKET, BY REGION, 2018–2021 (THOUSAND UNITS)
                    TABLE 28 ROBOTS: MARKET, BY REGION, 2022–2027 (THOUSAND UNITS)
    6.5 WEARABLES
           6.5.1 EYEWEAR TO CAPTURE MAJOR MARKET SHARE FOR WEARABLES
                    TABLE 29 WEARABLES: MARKET, BY APPLICATION, 2018–2021 (THOUSAND UNITS)
                    TABLE 30 WEARABLES: MARKET, BY APPLICATION, 2022–2027 (THOUSAND UNITS)
                    FIGURE 39 NORTH AMERICA TO DOMINATE EDGE AI MARKET FOR WEARABLES DURING FORECAST PERIOD
                    TABLE 31 WEARABLES: MARKET, BY REGION, 2018–2021 (THOUSAND UNITS)
                    TABLE 32 WEARABLES: EDGE AI HARDWARE MARKET, BY REGION, 2022–2027 (THOUSAND UNITS)
    6.6 EDGE SERVERS
           6.6.1 ENTERPRISE & INDUSTRY SEGMENT TO CREATE GROWTH OPPORTUNITIES FOR PROVIDERS OF EDGE AI SERVERS
                    TABLE 33 EDGE SERVERS: MARKET, BY REGION, 2018–2021 (THOUSAND UNITS)
                    TABLE 34 EDGE SERVERS: MARKET, BY REGION, 2022–2027 (THOUSAND UNITS)
    6.7 SMART SPEAKERS
           6.7.1 USE OF VOICE COMMAND TO CONTROL SMART HOME DEVICES TO FUEL MARKET GROWTH
                    TABLE 35 SMART SPEAKERS: MARKET, BY REGION, 2018–2021 (THOUSAND UNITS)
                    TABLE 36 SMART SPEAKERS: MARKET, BY REGION, 2022–2027 (THOUSAND UNITS)
    6.8 AUTOMOBILES
           6.8.1 SEMI-AUTONOMOUS AND AUTONOMOUS VEHICLES TO DRIVE MARKET GROWTH
                    TABLE 37 AUTOMOBILES: EDGE AI HARDWARE MARKET, BY REGION, 2018–2021 (THOUSAND UNITS)
                    TABLE 38 AUTOMOBILES: MARKET, BY REGION, 2022–2027 (THOUSAND UNITS)
    6.9 SMART MIRRORS
           6.9.1 GROWING USE OF SMART MIRRORS IN RETAIL SECTOR TO PROPEL MARKET GROWTH
                    TABLE 39 SMART MIRRORS: MARKET, BY REGION, 2018–2021 (THOUSAND UNITS)
                    TABLE 40 SMART MIRRORS: MARKET, BY REGION, 2022–2027 (THOUSAND UNITS)

7 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION (Page No. - 103)
    7.1 INTRODUCTION
           FIGURE 40 MARKET, BY POWER CONSUMPTION
           FIGURE 41 EDGE AI DEVICES CONSUMING LESS THAN 1 W TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
           TABLE 41 MARKET, BY POWER CONSUMPTION, 2018–2021 (THOUSAND UNITS)
           TABLE 42 MARKET, BY POWER CONSUMPTION, 2022–2027 (THOUSAND UNITS)
    7.2 LESS THAN 1 W
           7.2.1 WEARABLES CONSUMING LESS THAN 1 W OF ELECTRICITY TO STIMULATE MARKET GROWTH
    7.3 1–3 W
           7.3.1 SMARTPHONES TO DOMINATE MARKET FOR 1–3 W SEGMENT
    7.4 3–5 W
           7.4.1 SMART SPEAKERS TO LEAD MARKET FOR 3–5 W SEGMENT
    7.5 5–10 W
           7.5.1 SURVEILLANCE CAMERAS AND DRONES CONSUME 5–10 W OF ELECTRICITY
    7.6 MORE THAN 10 W
           7.6.1 AUTOMOBILES AND SMART MIRRORS REQUIRE MORE THAN 10 W OF POWER

8 EDGE AI HARDWARE MARKET, BY PROCESSOR (Page No. - 107)
    8.1 INTRODUCTION
           FIGURE 42 MARKET, BY PROCESSOR
           FIGURE 43 CPU TO HOLD LARGEST SHARE OF EDGE AI HARDWARE MARKET IN 2027
           TABLE 43 MARKET, BY PROCESSOR, 2018–2021 (MILLION UNITS)
           TABLE 44 MARKET, BY PROCESSOR, 2022–2027 (MILLION UNITS)
    8.2 CPU
           8.2.1 USE OF CPU IN SMARTPHONES AND SMART SPEAKERS FOR ON-DEVICE INFERENCE TO BOOST MARKET
    8.3 GPU
           8.3.1 AUTOMOTIVE AND ROBOTICS TO BE MAJOR END-USER INDUSTRIES OF GRAPHICS PROCESSING UNITS
    8.4 ASIC
           8.4.1 FIXED APPLICATION TO BE PERFORMED FASTER USING ASIC
    8.5 OTHERS

9 EDGE AI HARDWARE MARKET, BY FUNCTION (Page No. - 111)
    9.1 INTRODUCTION
           FIGURE 44 MARKET, BY FUNCTION
           FIGURE 45 INFERENCE TO HOLD LARGER SHARE OF EDGE AI HARDWARE MARKET THROUGHOUT FORECAST PERIOD
           TABLE 45 MARKET, BY FUNCTION, 2018–2021 (MILLION UNITS)
           TABLE 46 MARKET, BY FUNCTION, 2022–2027 (MILLION UNITS)
    9.2 TRAINING
           9.2.1 DEVELOPMENT OF ALGORITHMS THAT CAN INFER RESULTS PLAYS CRUCIAL ROLE IN TRAINING
    9.3 INFERENCE
           9.3.1 EFFICIENT PROCESSORS TO BE DEVELOPED FOR EFFECTIVE ANALYSIS OF NEW INFORMATION

10 EDGE AI HARDWARE MARKET, BY VERTICAL (Page No. - 115)
     10.1 INTRODUCTION
             FIGURE 46 MARKET, BY VERTICAL
             FIGURE 47 CONSUMER ELECTRONICS TO HOLD LARGEST SHARE OF MARKET, IN TERMS OF VOLUME, DURING FORECAST PERIOD
             TABLE 47 MARKET, BY VERTICAL, 2018–2021 (THOUSAND UNITS)
             TABLE 48 MARKET, BY VERTICAL, 2022–2027 (THOUSAND UNITS)
     10.2 CONSUMER ELECTRONICS
             10.2.1 SMARTPHONES TO STIMULATE MARKET GROWTH
                        TABLE 49 CONSUMER ELECTRONICS: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS)
                        TABLE 50 CONSUMER ELECTRONICS: MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS)
             10.2.2 SMARTPHONES
                        10.2.2.1 Dedicated AI chipset-enabled smartphones to witness strong demand in near future
             10.2.3 WEARABLES
                        10.2.3.1 Wearables to be increasingly used in fitness & sports and entertainment & multimedia applications
             10.2.4 ENTERTAINMENT ROBOTS
                        10.2.4.1 Focus of manufacturers to produce high-quality robots at affordable prices to boost market growth
     10.3 SMART HOME
             10.3.1 SMART SPEAKERS TO SUPPORT MARKET GROWTH
                        TABLE 51 SMART HOME: MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS)
                        TABLE 52 SMART HOME: MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS)
             10.3.2 SMART SPEAKERS
                        10.3.2.1 Ease of use and convenience make smart speakers suitable for elderly people
             10.3.3 SMART CAMERAS
                        10.3.3.1 Round-the-clock security requirement to surge adoption of smart cameras in smart homes
             10.3.4 DOMESTIC ROBOTS
                        10.3.4.1 Lawn mowing and floor, pool, and window cleaning activities carried out using domestic robots
     10.4 AUTOMOTIVE & TRANSPORTATION
             10.4.1 USE OF CAMERAS TO RECOGNIZE VEHICLES AND NUMBER PLATES TO FOSTER MARKET GROWTH
                        TABLE 53 AUTOMOTIVE & TRANSPORTATION: MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS)
                        TABLE 54 AUTOMOTIVE & TRANSPORTATION: MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS)
             10.4.2 AUTOMOBILES
                        10.4.2.1 AI technology to witness high demand from autonomous vehicle manufacturers
             10.4.3 SURVEILLANCE CAMERAS
                        10.4.3.1 Vehicle count and number plate recognition supposed to be major applications of surveillance cameras
             10.4.4 LOGISTICS ROBOTS
                        10.4.4.1 Increased need for logistics robots for courier and cargo handling applications to drive market
     10.5 GOVERNMENT
             10.5.1 DEPLOYMENT OF AI-POWERED SURVEILLANCE CAMERAS TO PUSH MARKET GROWTH
                        FIGURE 48 SURVEILLANCE CAMERAS TO CAPTURE LARGER MARKET SHARE THAN DRONES THROUGHOUT FORECAST PERIOD
                        TABLE 55 GOVERNMENT: EDGE AI HARDWARE MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS)
                        TABLE 56 GOVERNMENT: MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS)
             10.5.2 SURVEILLANCE CAMERAS
                        10.5.2.1 Rising use by police and first responders for behavior analysis and face recognition applications to augment market growth
             10.5.3 DRONES
                        10.5.3.1 Adoption of AI-powered drones in tracking suspects and investigating accidents to propel market growth
     10.6 HEALTHCARE
             10.6.1 WEARABLES TO DOMINATE HEALTHCARE MARKET
                        TABLE 57 HEALTHCARE: MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS)
                        TABLE 58 HEALTHCARE: MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS)
             10.6.2 MEDICAL ROBOTS
                        10.6.2.1 Minimize infection risks to patients
             10.6.3 WEARABLES
                        10.6.3.1 Play crucial role in monitoring patients remotely
     10.7 INDUSTRIAL
             10.7.1 INDUSTRIAL MACHINE VISION CAMERAS TO FUEL MARKET GROWTH
                        FIGURE 49 INDUSTRIAL ROBOTS TO REGISTER HIGHEST CAGR IN EDGE AI HARDWARE MARKET DURING FORECAST PERIOD
                        TABLE 59 INDUSTRIAL: MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS)
                        TABLE 60 INDUSTRIAL: MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS)
             10.7.2 INDUSTRIAL ROBOTS
                        10.7.2.1 Increasing adoption of robots to speed up production, increase productivity, and reduce product cost to boost market
             10.7.3 DRONES
                        10.7.3.1 Rising use of drones to automate inspection processes, save time, and provide accurate results to accelerate market growth
             10.7.4 MV CAMERAS
                        10.7.4.1 Help minimize production downtime by detecting machinery defects at faster rate
     10.8 AEROSPACE & DEFENSE
             10.8.1 INCREASING USE OF SERVICE ROBOTS TO PUSH MARKET GROWTH
                        TABLE 61 AEROSPACE & DEFENSE: MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS)
                        TABLE 62 AEROSPACE & DEFENSE: EDGE AI HARDWARE MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS)
     10.9 CONSTRUCTION
             10.9.1 GROWING USE OF AI ROBOTS IN CONSTRUCTION, RENOVATION, AND DEMOLITION ACTIVITIES TO SUPPORT MARKET GROWTH
                        TABLE 63 CONSTRUCTION: MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS)
                        TABLE 64 CONSTRUCTION: MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS)
             10.9.2 SERVICE ROBOTS
                        10.9.2.1 Infrastructure development projects to witness high demand for service robots
             10.9.3 DRONES
                        10.9.3.1 Increasing use of drones for earthwork management, project planning, and surveying applications to support market growth
     10.1 OTHERS
             TABLE 65 OTHERS: MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS)
             TABLE 66 OTHERS: MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS)
             10.10.1 SURVEILLANCE CAMERAS
                        10.10.1.1 Growing incidents of robbery and terror threats to create requirement for surveillance cameras
             10.10.2 PROFESSIONAL SERVICE ROBOTS
                        10.10.2.1 Retail stores, restaurants, amusement parks, and airports to be major end users of professional robots
             10.10.3 WEARABLES
                        10.10.3.1 Rising use of wearables by enterprises for on-job training to propel market growth
             10.10.4 SMART MIRRORS
                        10.10.4.1 Emergence of virtual dressing rooms in apparel industry to support market growth
             10.10.5 EDGE SERVERS
                        10.10.5.1 Need to improve efficiency of agricultural operations to generate requirement for edge AI
             10.10.6 DRONES
                        10.10.6.1 Surging adoption of drones to monitor crops to push market growth

11 EDGE AI HARDWARE MARKET, BY REGION (Page No. - 134)
     11.1 INTRODUCTION
             FIGURE 50 EDGE AI HARDWARE MARKET, BY GEOGRAPHY
             TABLE 67 MARKET, BY REGION, 2018–2021 (MILLION UNITS)
             TABLE 68 MARKET, BY REGION, 2022–2027 (MILLION UNITS)
     11.2 NORTH AMERICA
             FIGURE 51 SNAPSHOT OF MARKET IN NORTH AMERICA
             TABLE 69 NORTH AMERICA: MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS)
             TABLE 70 NORTH AMERICA: MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS)
             TABLE 71 NORTH AMERICA: MARKET, BY COUNTRY, 2018–2021 (THOUSAND UNITS)
             TABLE 72 NORTH AMERICA: MARKET, BY COUNTRY, 2022–2027 (THOUSAND UNITS)
             11.2.1 US
                        11.2.1.1 Large-scale adoption of ML & AI solutions to accelerate demand for edge AI hardware
             11.2.2 CANADA
                        11.2.2.1 Extensive AI start-up activities to create growth opportunities for market players
             11.2.3 MEXICO
                        11.2.3.1 Fastest-growing North American market for smartphones to create opportunities for edge AI vendors
     11.3 EUROPE
             FIGURE 52 SNAPSHOT OF EDGE AI HARDWARE MARKET IN EUROPE
             TABLE 73 EUROPE: MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS)
             TABLE 74 EUROPE: MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS)
             TABLE 75 EUROPE: MARKET, BY COUNTRY, 2018–2021 (THOUSAND UNITS)
             TABLE 76 EUROPE: MARKET, BY COUNTRY, 2022–2027 (THOUSAND UNITS)
             11.3.1 GERMANY
                        11.3.1.1 Flourishing automotive sector to push market growth
             11.3.2 UK
                        11.3.2.1 National AI Strategy published by government to support market growth
             11.3.3 FRANCE
                        11.3.3.1 Strong demand for AI-powered surveillance to drive requirement for edge AI hardware
             11.3.4 REST OF EUROPE (ROE)
     11.4 ASIA PACIFIC (ASIA PACIFIC)
             FIGURE 53 SNAPSHOT OF EDGE AI HARDWARE MARKET IN ASIA PACIFIC
             TABLE 77 ASIA PACIFIC: MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS)
             TABLE 78 ASIA PACIFIC: MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS)
             TABLE 79 ASIA PACIFIC: MARKET, BY COUNTRY, 2018–2021 (THOUSAND UNITS)
             TABLE 80 ASIA PACIFIC: MARKET, BY COUNTRY, 2022–2027 (THOUSAND UNITS)
             11.4.1 CHINA
                        11.4.1.1 Booming automotive and transportation sectors to push market growth
             11.4.2 JAPAN
                        11.4.2.1 Robotics, ICT, and automobile industries to fuel market growth
             11.4.3 SOUTH KOREA
                        11.4.3.1 Huge investment by government in AI to propel market growth
             11.4.4 REST OF ASIA PACIFIC
     11.5 REST OF THE WORLD (ROW)
             TABLE 81 ROW: MARKET, BY DEVICE, 2018–2021 (THOUSAND UNITS)
             TABLE 82 ROW: MARKET, BY DEVICE, 2022–2027 (THOUSAND UNITS)
             TABLE 83 ROW: EDGE AI HARDWARE MARKET, BY REGION, 2018–2021 (THOUSAND UNITS)
             TABLE 84 ROW: MARKET, BY REGION, 2022–2027 (THOUSAND UNITS)
             11.5.1 MIDDLE EAST & AFRICA (MEA)
                        11.5.1.1 Saudi Arabia, Israel, and South Africa to foster market growth in MEA
             11.5.2 SOUTH AMERICA
                        11.5.2.1 High investments in IT security to accelerate market growth

12 COMPETITIVE LANDSCAPE (Page No. - 153)
     12.1 INTRODUCTION
     12.2 STRATEGIES ADOPTED BY KEY PLAYERS
             TABLE 85 MAJOR COMPANIES ADOPTED PRODUCT LAUNCHES AS KEY GROWTH STRATEGY FROM 2019 TO 2022
     12.3 MARKET SHARE ANALYSIS, 2021
             TABLE 86 EDGE AI HARDWARE MARKET SIZE : DEGREE OF COMPETITION, 2021
             FIGURE 54 MARKET SHARE OF KEY COMPANIES IN MARKET, 2021
             TABLE 87 MARKET RANKING ANALYSIS, 2021
     12.4 REVENUE ANALYSIS
             FIGURE 55 THREE-YEAR REVENUE ANALYSIS OF KEY COMPANIES, 2019–2021 (USD BILLION)
     12.5 COMPANY EVALUATION QUADRANT
             12.5.1 STARS
             12.5.2 PERVASIVE PLAYERS
             12.5.3 EMERGING LEADERS
             12.5.4 PARTICIPANTS
                        FIGURE 56 EDGE AI HARDWARE MARKET (KEY PLAYERS): EVALUATION QUADRANT, 2021
                        TABLE 88 COMPANY FOOTPRINT
                        TABLE 89 DEVICE FOOTPRINT OF COMPANIES
                        TABLE 90 VERTICAL FOOTPRINT OF COMPANIES
                        TABLE 91 REGION FOOTPRINT OF COMPANIES
     12.6 START-UP/SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION QUADRANT
             12.6.1 PROGRESSIVE COMPANIES
             12.6.2 RESPONSIVE COMPANIES
             12.6.3 DYNAMIC COMPANIES
             12.6.4 STARTING BLOCKS
                        FIGURE 57 MARKET (SME): EVALUATION QUADRANT, 2021
                        TABLE 92 MARKET: LIST OF KEY START-UPS/SMES
     12.7 COMPETITIVE SCENARIOS AND TRENDS
             12.7.1 PRODUCT LAUNCHES
                        TABLE 93 EDGE AI HARDWARE MARKET: PRODUCT LAUNCHES, JANUARY 2019–SEPTEMBER 2022
             12.7.2 DEALS
                        TABLE 94 MARKET: DEALS, JANUARY 2019–SEPTEMBER 2022

13 COMPANY PROFILES (Page No. - 170)
(Business overview, Products offered, Recent Developments, MNM view)* 
     13.1 KEY COMPANIES
             13.1.1 QUALCOMM TECHNOLOGIES
                        TABLE 95 QUALCOMM TECHNOLOGIES: COMPANY OVERVIEW
                        FIGURE 58 QUALCOMM TECHNOLOGIES: COMPANY SNAPSHOT
                        TABLE 96 QUALCOMM TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 97 QUALCOMM TECHNOLOGIES: PRODUCT LAUNCHES
                        TABLE 98 QUALCOMM TECHNOLOGIES: DEALS
             13.1.2 HUAWEI TECHNOLOGIES CO., LTD.
                        TABLE 99 HUAWEI TECHNOLOGIES: COMPANY OVERVIEW
                        FIGURE 59 HUAWEI TECHNOLOGIES: COMPANY SNAPSHOT
                        TABLE 100 HUAWEI TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 101 HUAWEI TECHNOLOGIES: PRODUCT LAUNCHES
                        TABLE 102 HUAWEI TECHNOLOGIES: DEALS
                        TABLE 103 HUAWEI TECHNOLOGIES: OTHERS
             13.1.3 SAMSUNG ELECTRONICS
                        TABLE 104 SAMSUNG ELECTRONICS: COMPANY OVERVIEW
                        FIGURE 60 SAMSUNG ELECTRONICS: COMPANY SNAPSHOT
                        TABLE 105 SAMSUNG ELECTRONICS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 106 SAMSUNG ELECTRONICS: PRODUCT LAUNCHES
                        TABLE 107 SAMSUNG ELECTRONICS: DEALS
             13.1.4 APPLE
                        TABLE 108 APPLE: COMPANY OVERVIEW
                        FIGURE 61 APPLE: COMPANY SNAPSHOT
                        TABLE 109 APPLE: PRODUCT/SOLUTIONS/SERVICES OFFERED
                        TABLE 110 APPLE: DEALS
             13.1.5 MEDIATEK
                        TABLE 111 MEDIATEK: COMPANY OVERVIEW
                        FIGURE 62 MEDIATEK: COMPANY SNAPSHOT
                        TABLE 112 MEDIATEK: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 113 MEDIATEK: PRODUCT LAUNCHES
                        TABLE 114 MEDIATEK: DEALS
             13.1.6 INTEL
                        TABLE 115 INTEL: COMPANY OVERVIEW
                        FIGURE 63 INTEL: COMPANY SNAPSHOT
                        TABLE 116 INTEL: PRODUCT/SOLUTIONS/SERVICES OFFERED
                        TABLE 117 INTEL: PRODUCT LAUNCHES
                        TABLE 118 INTEL: DEALS
                        TABLE 119 INTEL: OTHERS
             13.1.7 NVIDIA
                        TABLE 120 NVIDIA: COMPANY OVERVIEW
                        FIGURE 64 NVIDIA: COMPANY SNAPSHOT
                        TABLE 121 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 122 NVIDIA: PRODUCT LAUNCHES
                        TABLE 123 NVIDIA: DEALS
             13.1.8 IBM
                        TABLE 124 IBM: COMPANY OVERVIEW
                        FIGURE 65 IBM: COMPANY SNAPSHOT
                        TABLE 125 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 126 IBM: PRODUCT LAUNCHES
                        TABLE 127 IBM: DEALS
             13.1.9 MICRON TECHNOLOGY
                        TABLE 128 MICRON TECHNOLOGY: COMPANY OVERVIEW
                        FIGURE 66 MICRON TECHNOLOGY: COMPANY SNAPSHOT
                        TABLE 129 MICRON TECHNOLOGY: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 130 MICRON TECHNOLOGY: PRODUCT LAUNCHES
             13.1.10 AMD
                        TABLE 131 AMD: COMPANY OVERVIEW
                        FIGURE 67 AMD: COMPANY SNAPSHOT
                        TABLE 132 AMD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 133 AMD: PRODUCT LAUNCHES
                        TABLE 134 AMD: DEALS
             13.1.11 GOOGLE
                        TABLE 135 ALPHABET: COMPANY OVERVIEW
                        FIGURE 68 ALPHABET: COMPANY SNAPSHOT
                        TABLE 136 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 137 GOOGLE: PRODUCT LAUNCHES
                        TABLE 138 GOOGLE: DEALS
             13.1.12 MICROSOFT
                        TABLE 139 MICROSOFT: COMPANY OVERVIEW
                        FIGURE 69 MICROSOFT: COMPANY SNAPSHOT
                        TABLE 140 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 141 MICROSOFT: PRODUCT LAUNCHES
                        TABLE 142 MICROSOFT: DEALS
     13.2 OTHER PLAYERS
             13.2.1 IMAGINATION TECHNOLOGIES
             13.2.2 CAMBRICON TECHNOLOGIES
             13.2.3 TENSTORRENT
             13.2.4 BLAIZE
             13.2.5 GENERAL VISION
             13.2.6 MYTHIC
             13.2.7 ZERO ASIC
             13.2.8 APPLIED BRAIN RESEARCH
             13.2.9 HORIZON ROBOTICS
             13.2.10 CEVA
             13.2.11 GRAPHCORE
             13.2.12 SAMBANOVA
             13.2.13 HAILO
             13.2.14 VERIDIFY SECURITY INC.
*Details on Business overview, Products offered, Recent Developments, MNM view might not be captured in case of unlisted companies. 

14 APPENDIX (Page No. - 238)
     14.1 DISCUSSION GUIDE
     14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
     14.3 CUSTOMIZATION OPTIONS
     14.4 RELATED REPORTS
     14.5 AUTHOR DETAILS

The study involved four major activities in estimating the current size of the edge AI hardware market. Exhaustive secondary research was done to collect information on the market and its peer and parent markets. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the total market size. After that, market breakdown and data triangulation were employed to estimate the market size of segments and subsegments.    

Secondary Research

In the secondary research process, various secondary sources have been referred to for identifying and collecting information important for this study. These secondary sources include edge AI hardware journals and magazines, annual reports, press releases, and investor presentations of companies; white papers; certified publications and articles from recognized authors; and directories and databases such as Factiva, Hoovers, and OneSource.

Primary Research

In the primary research process, various primary sources from both supply and demand sides have been interviewed to obtain qualitative and quantitative information important for this report. The primary sources from the supply side included industry experts such as CEOs, VPs, marketing directors, technology and innovation directors, and related executives from key companies and organizations operating in the edge AI hardware market. After complete market engineering (including calculations regarding market statistics, market breakdown, market size estimations, market forecasting, and data triangulation), extensive primary research was conducted to gather information as well as to verify and validate the critical numbers arrived at.

Edge AI Hardware Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

In the complete market engineering process, both top-down and bottom-up approaches have been implemented, along with several data triangulation methods, to estimate and validate the size of the edge AI hardware market and other dependent submarkets listed in this report.

  • Key players in the industry and markets have been identified through extensive secondary research.
  • In terms of value, the industry’s supply chain and market size have been determined through primary and secondary research processes.  
  • All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Edge Ai Hardware Market: Bottom-Up Approach

Edge AI Hardware Market Size, and Bottom-Up Approach

Data Triangulation

After arriving at the overall market size from the estimation process explained above, the global market has been split into several segments and subsegments.To complete the overall market engineering process and arrive at exact statistics for all segments and subsegments, market breakdown and data triangulation procedures have been employed wherever applicable. The data has been triangulated by studying various factors and trends identified from both demand and supply sides.

Report Objectives

The following are the primary objectives of the study.

  • To describe, segment, and forecast the edge artificial intelligence (AI) hardware market, in terms of volume, by processor, power consumption, device, function, vertical and region
  • To describe and forecast the edge AI hardware market, in terms of volume, for four key regions—North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW)
  • To provide detailed information regarding drivers, restraints, opportunities, and challenges influencing the market growth
  • To strategically analyze the micromarkets1 with respect to individual growth trends, prospects, and contribution to the overall edge AI hardware market
  • To provide a detailed overview of the supply/value chain and ecosystem pertaining to the edge AI devices, along with the average selling prices of edge AI devices
  • To strategically analyze the ecosystem, tariffs and regulations, patent landscape, trade landscape, and case studies pertaining to the market under study
  • To analyze opportunities in the market for stakeholders and provide a competitive landscape of the market
  • To profile the key players and comprehensively analyze their market positions in terms of ranking and core competencies2
  • To analyze the competitive developments such as joint ventures, mergers and acquisitions, product launches and developments, and ongoing research and development (R&D) in the edge AI hardware market

Available Customizations

With the given market data, MarketsandMarkets offers customizations according to a company’s specific needs. The following customization options are available for the report:

Company Information:

  • Detailed analysis and profiling of additional market players (up to 5)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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