AI Edge Computing Market by Type and Geography - Forecast and Analysis 2022-2026

The AI edge computing market share is expected to increase to USD 14.28 billion from 2021 to 2026, and the market's growth momentum will accelerate at a CAGR of 20.27%.

The report extensively covers AI edge computing market segmentations by the following:

• Type - Hardware and software and services
• Geography - North America, Europe, APAC, South America, and Middle East and Africa

The AI edge computing market report offers information on several market vendors, including Adapdix, Alef Edge Inc., Amazon.com Inc., Azion Technologies Inc., Cisco Systems Inc., ClearBlade Inc., Hewlett Packard Enterprise Co., Huawei Technologies Co. Ltd., Intel Corp., International Business Machines Corp., Johnson Controls International Plc, Microsoft Corp., Nutanix Inc., Rigado Inc., SAGUNA Network LTD., SixSq SA, Synaptics Inc., Tact.ai Technologies Inc., Transcend Information Inc., and Vapor IO Inc. among others.

This AI edge computing market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches.

What will the AI Edge Computing Market Size be During the Forecast Period?

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AI Edge Computing Market: Key Drivers, Trends, and Challenges

The proliferation of edge AI devices is notably driving the AI edge computing market growth, although factors such as security concerns related to edge AI devices may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the AI edge computing industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key AI Edge Computing Market Driver

The proliferation of edge AI devices is one of the key drivers fueling the artificial intelligence (AI) edge computing market growth. IoT and sensor technology generate large amounts of data that needs to be analyzed. For instance, Airbus A350 aircraft are embedded with more than 50,000 sensors that generate 2.5 terabytes of data per day. Real-time analysis of the data collected from these sensors can improve flight safety. Thus, as the volume of IoT devices grows, new techniques for data analysis and processing will be needed. Through edge AI computing, operational decisions can be automated as sensor data can be analyzed locally and in real-time. Thus, the proliferation of edge AI devices will augment the growth of the global AI edge computing market during the forecast period. 

Key AI Edge Computing Market Trend

The growing use of AI edge computing to get real-time analytics is one of the key artificial intelligence (AI) edge computing trends supporting market growth. Self-driven cars are equipped with numerous sensors that continuously generate massive amounts of data regarding the operation of the car. These sensors measure the speed of tire rotation and the position of the vehicle. Autonomous vehicle manufacturers equip their models with these sensors so that necessary decisions regarding braking and steering can be made automatically based on the data collected from these sensors. For instance, Porsche Engineering, a subsidiary of Dr. Ing. h.c. F. Porsche AG has embedded its models with compact computers with graphics processing units (GPUs) manufactured by Nvidia Corp. The computing platform uses AI to calculate more precise positions from global positioning system (GPS) data. Such uses of AI may propel the AI edge computing market trends supporting market growth during the forecast period.

Key AI Edge Computing Market Challenge

Security concerns related to edge AI devices is one of the key factors challenging the AI edge computing market growth. Edge AI devices can be the source of a wide range of cybersecurity attacks such as distributed denial-of-service (DDoS) attacks, Man-in-the-Middle (MiTM) attacks, data breaches through hacking of devices, and others. These attacks deter the end-users from using IoT devices such as smart speakers, drones, and surveillance cameras. For instance, surveillance cameras could serve as a means for an attacker to hack into the IT infrastructure of end-users. Often surveillance cameras are mass-produced and identical, which allows the attacker to infiltrate them. Such threats may challenge the AI edge computing market growth during the forecast period. 

This AI edge computing market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2022-2026.

Who are the Major AI Edge Computing Market Vendors?

The report analyzes the market's competitive landscape and offers information on several market vendors, including:

 

• Adapdix
• Alef Edge Inc.
• Amazon.com Inc.
• Azion Technologies Inc.
• Cisco Systems Inc.
• ClearBlade Inc.
• Hewlett Packard Enterprise Co.
• Huawei Technologies Co. Ltd.
• Intel Corp.
• International Business Machines Corp.
• Johnson Controls International Plc
• Microsoft Corp.
• Nutanix Inc.
• Rigado Inc.
• SAGUNA Network LTD.
• SixSq SA
• Synaptics Inc.
• Tact.ai Technologies Inc.
• Transcend Information Inc.
• Vapor IO Inc.

 

This statistical study of the artificial intelligence (AI) edge computing market encompasses successful business strategies deployed by the key vendors. The AI edge computing market is fragmented and the vendors are deploying growth strategies such as integrating more optimized technology to compete in the market.

Product Insights and News

• Cisco Systems Inc. - The company offers edge computing solutions where shifting takes place from the central data server to devices that are embedded at the edge of service provider networks in order to process data with lower latency necessary for many new applications. 
• ClearBlade Inc. - The company offers the ability to put context around data and run artificial intelligence models not only in the cloud but also at the edge to make fast and relevant decisions using out-of-the-box integration with existing enterprise solutions. 
• Hewlett Packard Enterprise Co. - The company offers artificial intelligence optimize solution which quickly operationalizes machine learning, while turning data into a strategic resource with data management platform. 

To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

The AI edge computing market forecast report offers in-depth insights into key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.

Which are the Key Regions for AI Edge Computing Market?

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44% of the market's growth will originate from North America during the forecast period. The US is the key market for the artificial intelligence edge computing market in North America. Market growth in this region will be faster than the growth of the market in other regions.

The high adoption of smartphones will facilitate the AI edge computing market growth in North America over the forecast period. This market research report entails detailed information on the competitive intelligence, marketing gaps, and regional opportunities in store for vendors, which will assist in creating efficient business plans.

COVID Impact and Recovery Analysis

The COVID-19 pandemic did not have a significant impact on the growth of the regional market in 2020.  Moreover, these solutions found an increased application in the healthcare industry as the demand for healthcare equipment and devices grew during 2020-2021. During the forecast period, the regional market will continue to witness tremendous growth with the growing demand for edge AI devices.

What are the Revenue-generating Type Segments in the AI Edge Computing Market?

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The artificial intelligence edge computing market share growth by the hardware segment will be significant during the forecast period. Edge AI computing involves using AI and ML algorithms to process data generated by hardware devices at a local level and help make decisions in real-time. The hardware segment of the global AI edge computing market includes processors and devices that require cognitive computing. Thus, such factors of the hardware segment will drive the AI edge computing market growth during the forecast period.

This report provides an accurate prediction of the contribution of all the segments to the growth of the AI edge computing market size and actionable market insights on post COVID-19 impact on each segment.

Parent Market Analysis

Technavio categorizes the global artificial intelligence edge computing market as a part of the global internet services and infrastructure market. Our research report has extensively covered external factors influencing the parent market growth potential in the coming years, which will determine the levels of growth of the AI edge computing market during the forecast period.

AI Edge Computing Market Value Chain Analysis

Our report provides extensive information on the value chain analysis for the AI edge computing market, which vendors can leverage to gain a competitive advantage during the forecast period. The end-to-end understanding of the value chain is essential in profit margin optimization and evaluation of business strategies. The data available in our value chain analysis segment can help vendors drive costs and enhance customer services during the forecast period.

AI Edge Computing Market Scope
Report Coverage	Details
Page number	120
Base year	2021
Forecast period	2022-2026
Growth momentum & CAGR	Accelerate at a CAGR of 20.27%
Market growth 2022-2026	$ 14.28 billion
Market structure	Fragmented
YoY growth (%)	19.45
Regional analysis	North America, Europe, APAC, South America, and Middle East and Africa
Performing market contribution	North America at 44%
Key consumer countries	US, China, Japan, UK, and Germany
Competitive landscape	Leading companies, Competitive strategies, Consumer engagement scope
Key companies profiled	Adapdix, Alef Edge Inc., Amazon.com Inc., Azion Technologies Inc., Cisco Systems Inc., ClearBlade Inc., Hewlett Packard Enterprise Co., Huawei Technologies Co. Ltd., Intel Corp., International Business Machines Corp., Johnson Controls International Plc, Microsoft Corp., Nutanix Inc., Rigado Inc., SAGUNA Network LTD., SixSq SA, Synaptics Inc., Tact.ai Technologies Inc., Transcend Information Inc., and Vapor IO Inc.
Market dynamics	Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID 19 impact and recovery analysis and future consumer dynamics, Market condition analysis for forecast period
Customization purview	If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.

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What are the Key Data Covered in this AI Edge Computing Market Report?

• CAGR of the market during the forecast period 2022-2026
• Detailed information on factors that will drive AI edge computing market growth during the next five years
• Precise estimation of the AI edge computing market size and its contribution to the parent market
• Accurate predictions on upcoming trends and changes in consumer behavior
• The growth of the AI edge computing industry across North America, Europe, APAC, South America, and Middle East and Africa
• A thorough analysis of the market's competitive landscape and detailed information on vendors
• Comprehensive details of factors that will challenge the growth of AI edge computing market vendors

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