> For the complete documentation index, see [llms.txt](https://edgex-labs.gitbook.io/edgex-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://edgex-labs.gitbook.io/edgex-whitepaper/background-and-trends/computing-power-market.md).

# Computing Power Market

As of 2023, the global computing power infrastructure has surpassed 900 EFLOPS (exaflops per second), growing at an annual rate of 40% or more. The global computing power market has exceeded $1 trillion, with significant growth potential.\ <br>

Among these, the market sizes of several key areas are as follows:

**1、Cloud Computing Market** (including traditional IDC market):\
The market size exceeded $580 billion in 2023 and is expected to reach $2.3 trillion by 2032, with a compound annual growth rate (CAGR) of 16.5%.

<figure><img src="https://682562255-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F8rfR8i0zGZ1YEO0dGI2n%2Fuploads%2FOKmNQzBaCSvJCxyfZCZA%2Fimage.png?alt=media&amp;token=a331d48d-b31f-4088-bcea-7261c147db72" alt=""><figcaption></figcaption></figure>

**2、AI Computing Market**:\
The market is rapidly expanding due to the emergence and widespread adoption of generative models like ChatGPT. It is expected to reach $757.5 billion in 2025, with a projected value of $1.8 trillion by 2030.

<figure><img src="https://682562255-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F8rfR8i0zGZ1YEO0dGI2n%2Fuploads%2FXusZ6NgCqT5wSK7OGAz9%2Fimage.png?alt=media&amp;token=31dea7b9-dde0-452b-afe8-f77754f3b12f" alt=""><figcaption></figcaption></figure>

**3、Edge Computing Market**\
The market is growing rapidly due to increasing demand for edge applications such as small-scale deployment of large language models (LLMs), AI-enabled IoT hardware, and low-latency network services. It is expected to reach $20 billion in 2025, with a projected value of $150 billion by 2030.

**4、Future Trends**\
Cloud computing and AI computing will converge, driving the construction of a new generation of global data centers and computing infrastructure. Investment in this infrastructure is expected to grow at a rate of 20-30% per year. \
**However, the traditional investment and construction model used in the edge computing market cannot keep up with the rapid development of edge application scenarios. A new business model is needed to resolve the contradiction between the high costs of building AI computing infrastructure and the growing demand for cost-effective AI applications.**