According to the report, the global AI edge computing market generated $9.09 billion in 2020, and is anticipated to generate $59.63 billion by 2030, witnessing a CAGR of 21.2% from 2021 to 2030.
Ability of the AI edge to overcome cloud computing challenges, rise in demand for real-time operations, proliferation of edge AI-enabled devices, and lucrative benefits offered by AI edge computing drive the growth of the global AI edge computing market. However, high investment and shortage of skilled IT professionals hinder the market growth. On the other hand, advent of the 5G network connectivity and emerging applications of AI edge computing present new opportunities in the coming years.
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Asia-Pacific is expected to observe highest growth rate during the forecast period, due to the proliferation of connected systems fueled by ongoing trend of smart offices and homes in the region coupled with the government-driven infrastructural projects. The data generated by edge devices in different industry verticals across the region and increased consumer spending on smart solutions across the countries such as China, Australia, Japan, and India, fuel the growth of the market. In addition to this, emerging adoption of innovative technologies as well as ongoing digital transformation initiatives in Asian countries, such as Australia, Japan, China, and India, to create the increased demand for improved customer experiences fueling the demand for AI edge computing.
AI Edge Computing Market Players:
Some of the key AI edge computing industry players profiled in the report include Cisco Systems, Inc., International Business Machine Corporation, Clearblade, Inc., Foghorn Systems, Hewlett Packard Enterprise Development LP, Huawei Technologies Co. Ltd., Nokia, Rigado Llc, Saguna Networks Ltd., and Vapor IO. This study includes market trends, AI edge computing market analysis, and future estimations to determine the imminent investment pockets.
The report focuses on the growth prospects, restraints, and global AI edge computing market share. The study provides Porter’s five forces analysis of the global AI edge computing market forecast to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, the threat of new entrants, threat of substitutes, and bargaining power of buyers on the global AI edge computing market trends.
Covid-19 Scenario
- The outbreak of the Covid-19 pandemic impacted the the global AI edge computing market positively.
- The implementation of global lockdown has constrained organizations to move toward digitalization for the arrangement of work from home offices to their employee, which in turn, boosted the demand for AI edge computing.
- In addition, edge computing is proving to be a life-saving technology for the medical care industry, due to different IoT medical applications.
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AI Edge Computing Market Segmentation:
Based on the component,
The hardware segment held the highest market share in 2020, accounting for nearly three-fourths of the global AI edge computing market, and is estimated to maintain its leadership status throughout the forecast period. This is due to rise in applications of AI edge computing hardware or physical components such as processors, servers, switches, and routers. Moreover, the services segment is projected to manifest the highest CAGR of 25.7% from 2021 to 2030.
Based on the application
The IIoT segment accounted for the largest share in 2020, contributing to nearly one-third of the global AI edge computing market, and is projected to maintain its lead position during the forecast period, owing to more data production by IIoT applications. However, the content delivery segment is expected to portray the largest CAGR of 22.2% from 2021 to 2030.
By organization size
The large enterprises segment dominated the growth in the AI edge computing market in 2020, and is expected to maintain its dominance in the upcoming years. This is due to significant growth in deployment of edge computing use cases in large enterprises to support IoT or immersive experiences. However, SMEs segment is expected to witness highest growth rate during the forecast period. Intensely competitive scenario has primarily encouraged number of SMEs across the globe to increasingly invest in AI edge computing solutions to reach their desired target audience. For instance, according to a recent survey by VOLTA data center, 38% of small businesses across the globe are utilizing the edge computing technology; however, the number of SMEs utilizing edge technology is increasing rapidly. This factor further fuels the growth of the segment.
Based on region,
North America held the highest market share in terms of revenue in 2020, accounting for more than two-fifths of the global AI edge computing industry. This is attributed to several factors such as rise in need for faster processing devices coupled with the huge government funding on innovative technologies, increased number of IoT devices, and a strong technical base. However, the Asia-Pacific region is expected to witness the fastest CAGR of 24.6% from 2021 to 2030. This is due to the proliferation of connected systems fueled by ongoing trend of smart offices and homes in the region along with the government-driven infrastructural projects.
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Key Benefits for Stakeholders:
- This study includes the Global AI edge computing market analysis, trends, and future estimations to determine the imminent investment pockets.
- The report presents information related to key drivers, restraints, and Global AI edge computing market opportunity.
- The Global AI edge computing market size is quantitatively analyzed from 2020 to 2030 to highlight the financial competency of the industry.
- Porter’s five forces analysis illustrates the potency of buyers & suppliers in Global AI edge computing industry.
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