1、 Edge AI is the fastest growing part of the AI wave,with a 37%CAGR through 20301 compared to 28%CAGR 2of the overall AI market.It has gained significant traction in the last 5+years-even as the world has begun a transformation based on our collective“ChatGPT moment”in 2022.By collaborating with lead
2、ing technology developers,academia and researchers and industry leaders,we can explore what lies ahead in 2026 for this transformative technology.Lets understand what edge AI is,why it is a game changing technology of our times,and how we can apply it in 2026 and beyond.Introduction For the past dec
3、ade,“cloud-first”has been the default mantra in technology.The cloud gave us scale,flexibility,and global reach,but here is the truth:cloud-only architectures are starting to show their limits,and businesses that rely on speed,resilience,and privacy are noticing.When meeting with customers,we often
4、hear“We love the power of AI(meaning the cloud),but we cant afford the latency.”When you need to stop a robotaxi for a wandering pedestrian,or a conveyor belt to avoid a product defect,or detect a safety risk in real time,waiting for round trips to the cloud is not good enough.The same goes for crea
5、ting truly seamless personal experiences in the smart home-seeing your light turn on seconds after the voice command feels pretty rocky.2 Cargoson Research 1 CC Research,2024 EDGE AI FOUNDATION MARKETING&INDUSTRY WORKING GROUP page 2 of 14 Edge AI has now entered the discussion at scale,challenging
6、the previous assumption of“push everything to the cloud.”This does not mean the cloud goes away,but rather it means the edge is leveraged where real-time decisions and low-power implementations matter most.The future is not cloud versus edge,but a new balance where the edge can lead as the forefront
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