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Edge AI Market size exceeded USD 5 billion in 2022 and is projected to grow at a CAGR of 24.8% from 2023 to 2032, attributed to the rising adoption of cloud computing globally.
Cloud computing & Edge AI are closely intertwined and dependent on each other in various ways. Edge AI involves the deploying of AI applications & services at the network edge, where data is produced, while cloud computing involves the delivering of computing resources via the internet. Edge AI offers benefits such as reduced latency and improved real-time processing, enabling organizations to make faster & more accurate decisions in critical areas including industrial automation, autonomous vehicles, and smart cities.
The surging cloud computing adoption has fueled the expansion of Edge AI by providing organizations with the necessary computing power and storage to deploy AI applications at the network edge. The need for real-time insights will continue to grow as organizations generate more data, propelling the market expansion.
Report Attribute | Details |
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Base Year: | 2022 |
Edge AI Market Size in 2022: | USD 5 billion |
Forecast Period: | 2023 to 2032 |
Forecast Period 2023 to 2032 CAGR: | 24.8% |
2032 Value Projection: | USD 70 billion |
Historical Data for: | 2018 to 2022 |
No. of Pages: | 280 |
Tables, Charts & Figures: | 400 |
Segments covered: | Component, End-use, Application |
Growth Drivers: |
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Pitfalls & Challenges: |
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