Edge Computing Market Size and Forecasts
The latest research and forecasts on the global EDGE computing market.
Last updated: 4 January 2023
From: Research and Markets
URL: https://www.researchandmarkets.com/reports/4538733/global-edge-computing-market-size-share-and
Published: June 2022
Data: “The global edge computing market size is anticipated to reach USD 155.90 billion by 2030, exhibiting a CAGR of above 38.9% during the forecast period.”
From: Allied Market Research
URL: https://www.alliedmarketresearch.com/edge-computing-market
Published: May 2019
Data:
“The edge computing market size was valued at $ 1,734.8 million in 2017, and is projected to reach $ 16,556.6 million by 2025, growing at a CAGR of 32.8% from 2018 to 2025”;
“Services would exhibit the highest CAGR of 35.6% during 2018-2025″;
“SMEs would exhibit the highest CAGR of 37.5% during 2018-2025”;
“Connected cars is projected as one of the most lucrative segments and it would exhibit the highest CAGR of 35.9% during 2018-2025”;
“Asia-Pacific would exhibit the highest CAGR of 35.1% during 2018-2025”.
From: Grand View Research
URL: https://www.grandviewresearch.com/industry-analysis/edge-computing-market
Published: June 2019
Data:
“The global edge computing market size was valued at USD 1.47 billion in 2018 and is expected to expand at a CAGR of 54.0% from 2019 to 2025″;
“The global edge computing market size is expected to reach USD 28.84 billion by 2025 registering a CAGR of 54.0%”.
From: Technavio
URL: https://www.technavio.com/report/global-edge-computing-market-industry-analysis
Published: December 2018
Data:
“The global edge computing market size will grow by USD 5.74 billion during 2019-2023”;
“The edge computing market size is poised to grow at a CAGR of close to 41% during the period 2019-2023”.
From: Market Research Future
URL: https://www.marketresearchfuture.com/reports/edge-computing-market-3239
Published: July 2019
Data:
“The global market for Edge computing is estimated to reach USD 22,453.9 million by 2024, registering a 28.4% CAGR during the forecast period of 2018 to 2024”.
From: BCC Research
Published: August 2018
Data:
“The global edge computing market is expected to reach $21.0 billion by 2023 from $10.6 billion in 2018 at a compound annual growth rate (CAGR) of 14.2% from 2018 to 2023”.
From: McKinsey & Co.
Published: November 2018
Data:
“In this article, we map out more than 100 edge computing use cases across 11 sectors that we believe could create more than $200 billion in hardware value in the next five to seven years”.
From: Zion Market Research
URL: https://www.zionmarketresearch.com/report/edge-computing-market
Published: February 2020
Data:
“Global edge computing was valued USD 3.02 Billion in 2019 and is expected to reach around USD 15.81 Billion by 2026, at a CAGR approximately 26.80% for the forecast period from 2020 to 2026”.
From: Deloitte
Published: December 2019
Data:
“We predict that in 2020, more than 750 million edge AI chips—chips or parts of chips that perform or accelerate machine learning tasks on-device, rather than in a remote data center—will be sold. This number, representing a cool US$2.6 billion in revenue, is more than twice the 300 million edge AI chips Deloitte predicted would sell in 20172 — a three-year compound annual growth rate (CAGR) of 36 percent. Further, we predict that the edge AI chip market will continue to grow much more quickly than the overall chip market. By 2024, we expect sales of edge AI chips to exceed 1.5 billion, possibly by a great deal. This represents annual unit sales growth of at least 20 percent, more than double the longer-term forecast of 9 percent CAGR for the overall semiconductor industry.”;
“The consumer edge AI chip market is much larger than the enterprise market, but it is likely to grow more slowly, with a CAGR of 18 percent expected between 2020 and 2024. The enterprise edge AI chip market, while much newer—the first commercially available enterprise edge AI chip only launched in 20175 — is growing much faster, with a predicted CAGR of 50 percent over the same time frame.”
Information Matters accepts no responsibility for the accuracy of any of the data presented on this page. It has all been sourced from open web sources that have been made freely available by the original authors and is presented here as excerpts for research and commentary purposes.
Related Articles: