Hi all,
A long read but in my opinion worth it.
Here’s an excerpt;
Growth of AI chips over the next decade
Revenue generated from the sale of AI chips (including the sale of physical chips and the rental of chips via cloud services) is expected to rise to just shy of USD$300 billion by 2034, at a compound annual growth rate of 22% from 2024 to 2034. This revenue figure incorporates the use of chips for the acceleration of machine learning workloads at the edge of the network, for telecom edge, and within data centers in the cloud. As of 2024, chips for inference purposes (both at the edge and within the cloud) comprise 63% of revenue generated, with this share growing to more than two-thirds of the total revenue by 2034.
This is in large part due to significant growth at the edge and telecom edge, as AI capabilities are harnessed closer to the end-user. In terms of industry vertical,
IT & Telecoms is expected to lead the way for AI chip usage over the next decade, with Banking, Financial Services & Insurance (BFSI) close behind, and Consumer Electronics behind that. Of these, the Consumer Electronics industry vertical is to generate the most revenue at the edge, given the further rollout of AI into consumer products for the home. More information regarding industry vertical breakout can be found in the relevant AI reports.
AI chips revenue segmented by purpose.
Revenue generated by AI chips is set to grow at a CAGR of 22% over the next ten years, up to 2034. Of the revenue generated at this time, AI chips for inference purposes will dominate over those used for AI training, as AI migrates more thoroughly to deployment at the edge of the network.
For more information regarding key trends and market segmentations with regards AI chips over the next ten years, please refer to the two reports: “
AI Chips: 2023-2033” and “
AI Chips for Edge Applications 2024-2034: Artificial Intelligence at the Edge“.
Artificial Intelligence is transforming the world as we know it; from the success of DeepMind over Go world champion Lee Sedol in 2016 to the robust predictive abilities of OpenAI’s ChatGPT, the complexity of AI training algorithms is growing at a startlingly fast pace, where the amount of...
www.edge-ai-vision.com
Enjoy!