Global AI hardware market to surge to $624 billion by 2035

The global AI hardware market is poised for exponential growth, expanding from USD 31.40 billion in the current year to a projected USD 624.4 billion by 2035, achieving a CAGR of 31.23%. This surge is driven by increasing demand for advanced processing capabilities to support intricate AI workloads and computational tasks, according to Research and Markets

AI hardware market: Growth and trends
AI hardware encompasses specialized equipment engineered to enhance AI algorithms and deep learning models’ performance. As AI applications become more complex, the quest for high-performance, energy-efficient, and scalable hardware solutions intensifies. This demand has resulted in significant investments targeting the development of dedicated AI hardware, fostering rapid market expansion.

Emerging trends, such as edge AI and innovations within the semiconductor industry, are generating new opportunities for AI hardware manufacturers. Moreover, custom AI chipsets and energy-efficient hardware have become key focus areas. Leading market players are increasing production of storage accelerators to meet the growing need for advanced storage solutions, with AI contributing to the development of non-volatile memory.

AI hardware market: Key segments

• By Type of AI Hardware: Segments include embedded sound and vision processors. Currently, standalone vision processors lead, driven by edge AI adoption and computer vision applications.
• By Type of Deployment: Cloud solutions dominate due to their flexibility, scalability, and cost-effectiveness. They enable businesses to utilize advanced AI tools without significant hardware investments.
• By Type of Product: Processors hold the majority share due to their speed, crucial for machine learning applications. Demand for machine learning devices spurs processor advancements.
• By Type of Device: The automotive segment leads, driven by AI-enabled safety systems, but the smart speaker segment is rapidly growing.
• By Type of Power Consumption: AI hardware for consumer electronics primarily consumes 1-3W, striking a balance between performance and energy efficiency.
• By Type of Process: Inference processes dominate due to their role in real-time applications like autonomous vehicles, yet the training segment shows promising growth.
• By Type of End Users: The telecommunications and IT sector leads by leveraging AI for big data processing and efficient decision-making.
• By Type of Enterprise: Large enterprises currently dominate the market; however, SMEs are anticipated to grow faster due to their agility and innovation.
• By Geographical Regions: North America currently leads the market, but Asia is expected to experience higher growth, driven by startups and increasing opportunities.

Research and Markets