Marketing and consulting firm 360iResearch predicts rapid growth in the global market for supercomputers for AI tasks. By such analytics systems, they understand specialized platforms with large computing resources for quickly processing huge volumes of data.
Market Growth Projection
360iResearch estimates that the global AI supercomputing industry was worth approximately $1.90 billion in 2023. In 2024, costs are expected to rise to $2.26 billion. Thereafter, a CAGR (compound annual growth rate) is projected to be 18.97%. As a result, by 2030, expenses in this segment could reach $6.43 billion.
Key Factors Driving Growth
Experts identify several key factors contributing to the rapid growth of the market. This, in particular, is digital transformation, the rapid increase in the volume of generated data, and the need for computing power to effectively use business information. Other industry drivers include advances in machine and deep learning, as well as neural networks. In light of the introduction of various AI technologies, the need for HPC computing is growing. Plus, initiatives are being implemented to support the AI market at the state level.
Challenges and Opportunities
On the other hand, there are a number of difficulties. The AI supercomputing sector faces obstacles such as high research, development, and implementation costs, privacy and data security concerns, ethical issues, skills shortages, and limited capabilities in developing regions. Analysts note that further growth will largely be facilitated by advances in quantum computers and exascale computing systems.
Regional Market Dynamics
Overall, the AI supercomputing market is growing in all key regions, notes NIXSolutions. In the Americas, especially the US, this is being driven by the adoption of AI across sectors including healthcare, financial services, and automotive. In the EMEA (Europe, Middle East, and Africa) region, industry development is being driven by active AI research and the adoption of related technologies by businesses looking to improve their efficiency. The Asia-Pacific region is seeing growing adoption of AI technologies in e-commerce, automotive, and manufacturing.