$FET $WLD The scale of investment in the field of artificial intelligence (AI) has shown explosive growth in recent years. Many authoritative institutions and research reports have provided relevant forecasts and data, indicating that this field is attracting a large amount of capital investment. The following are several key data and trends:
1. Goldman Sachs’ forecast
Global AI investment scale
Goldman Sachs Economic Research Report pointed out that by 2025, AI investment in the US market may be close to $100 billion, and the total global AI investment is expected to reach about $200 billion. This figure reflects the first-mover advantage of major developed countries (especially the United States) in the field of AI, as well as the huge interest in AI technology infrastructure, model development and application promotion around the world.
2. IDC data
Total investment scale in AI IT
According to the latest data from IDC, the total global investment scale in artificial intelligence IT was approximately 128.8 billion dollars in 2022, and it is expected to increase to 423.6 billion dollars by 2027, with a compound annual growth rate of about 26.9% over five years. This data mainly covers enterprise spending on AI hardware, software, and cloud services in infrastructure construction, reflecting the trend of enterprises increasing capital investment to cope with large-scale deployment of AI applications.
3. Major initiatives at the regional level
Europe and France
French President Macron recently announced a plan to be launched at the upcoming Paris Artificial Intelligence Summit, expecting to invest approximately 109 billion euros (about 112.5 billion dollars) in the AI field over the next few years through various funding sources. Additionally, there are several investment projects and initiatives across Europe (such as the EU AI Champions Program) with target investment scales reaching hundreds of billions of dollars to enhance Europe's position in the global AI competition.
Diverse investments globally
In addition to the United States and Europe, other regions around the world are also accelerating their layouts. For example, China has formed approximately 4,500 core AI enterprises in the past few years, with the overall industrial scale continuously expanding, while attracting significant venture capital and acquisition funds. Some research institutions predict that the global AI industry scale may grow several times in the next decade, leading to a sharp increase in related investments.
4. Comprehensive interpretation
Overall:
In the short term, multiple studies and institutions predict that by 2025, the global AI investment scale is expected to reach approximately 200 billion dollars, mainly concentrated in technology-leading or rapidly growing markets such as the United States, Europe, and China.
In the medium to long term, with the continuous deepening of AI applications and the improvement of infrastructure (including chips, cloud computing, and data platforms), global capital expenditure in the AI field will continue to rise. For example, the investment scale predicted by IDC may reach approximately 423.6 billion dollars by 2027, indicating that this field is still in a rapid expansion phase.
These data indicate that in terms of R&D, infrastructure construction, or commercial application, AI is becoming a hot area pursued by global capital, having a profound impact on economic growth and industrial upgrading.
Conclusion
In the current and coming years, the investment scale in the global AI field is not only continuously breaking records numerically but is also driving countries to accelerate technology implementation and industrial upgrading. For investors and related enterprises, paying attention to this dynamic is not only helpful for capturing market opportunities but also for better understanding the major trends of digital economic transformation.
