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
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 market 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 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 conusumption 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
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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), Microsift (US) are among the key players operating in the edge AI hardware market.
Edge AI Hardware Market Report Scope
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Report Metric |
Details |
| Estimated Market Size | USD 1,056 Million |
| Market size value in 2027 | USD 2,716 Million |
| CAGR (2022-2027) | 20.8% |
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Market size available for years |
2018–2027 |
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Base year considered |
2021 |
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Forecast period |
2022–2027 |
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Forecast units |
Volume (Million Units) |
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Segments covered |
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Regions covered |
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Companies covered |
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Largest Growing Region |
Asia Pacific |
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Largest Market Share Segment |
Smartphones Segment |
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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
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Aspect |
Details |
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By Device |
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By Power Consumption |
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By Processor |
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By Function |
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By Vertical |
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By Region |
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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):
How big is the Edge AI hardware market?
The Edge AI hardware market is expected to reach 2,716 million units by 2027.
Which company is leading in Edge AI Hardware?
Apple (US), MediaTek (Taiwan), Qualcomm Technologies (US), Huawei Technologies (China), and Samsung Electronics (South Korea), Intel (US), NVIDIA (US), IBM(US), Google (US), Microsift (US), AMD (US), Micron Technology (US) electronics and semiconductor companies.
Which is the fastest growing region of the Edge AI market?
Asia Pacific region will dominate edge AI hardware market.
What are the key strategies adopted by key companies in the Edge AI hardware market?
The product launch, acquisition and collaboration has been and continues to be some of the major strategies adopted by the key players to grow in the edge AI hardware market.
What is the growth rate of Edge AI hardware market?
It is expected to grow at a CAGR of 20.8% during the forecast period from 2022-2027.
What Company Leading the North America Edge AI Hardware Market?
Apple (US), MediaTek (Taiwan), Qualcomm Technologies (US), Huawei Technologies (China), Samsung Electronics (South Korea), Intel (US), NVIDIA (US), IBM(US), Google (US), Microsift (US) are among the key players operating in the edge AI hardware market.
What are the Key Opportunities in Edge AI Harware Market?
Opportunities for the edge AI hardware market 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.
What are the Challenges in Edge AI Hardware Market?
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.
What are the Factors influencing the growth of the Edge AI Harware Market?
The launch of 5G networks is bringing IT and telecommunications together to introduce new features for high-end applications and reduce network latency.
What are the Limitations pertaining in Edge AI Hardware Market?
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.
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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.
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
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)
Growth opportunities and latent adjacency in Edge AI Hardware Market