Spain AI Processor Chip Market Size and Forecast by Hardware Architecture, Power Envelope, Memory Integration Type, Node Type, and End User: 2019-2033

  Dec 2025   | Format: PDF DataSheet |   Pages: 110+ | Type: Niche Industry Report |    Authors: Surender Khera (Asst. Manager)  

 

Spain AI Processor Chip Market Outlook

  • The market in Spain recorded a revenue of USD 921.4 million in 2024.
  • By the end of the 2033, the Spain AI Processor Chip Market is projected to reach USD 6.40 Billion, supported by a CAGR of 25.6% during the projection horizon.
  • DataCube Research Report (Dec 2025): This analysis uses 2024 as the actual year, 2025 as the estimated year, and calculates CAGR for the 2025-2033 period.

Industry Assessment Overview

Industry Findings: Spain is consolidating compute capacity to support industry-focused AI use cases—logistics, smart cities and public services—rather than chasing unconstrained hyperscale expansion. Strategic investments now aim to broaden national supercomputing and edge-hosting capabilities while enabling sectoral testbeds that lower integration risk for municipalities and industrial adopters. A visible milestone was the inauguration of a new national supercomputer in Dec-2023, which materially increased domestic capacity for large-scale model training and benchmarking. This addition immediately expanded access for research and industry consortia to high-performance resources and encouraged procurement teams to prioritise accelerators that integrate with federated supercomputing workflows; medium-term, expect stronger demand for vendor roadmaps that demonstrate compatibility with national benchmarking suites and energy-aware scheduling for public-sector workloads.

Industry Player Insights: The Spain’s sector is shaped by Telefónica, Indra, Barcelona Supercomputing Center, and GMV etc. Telefónica extended its strategic cloud and AI alliance with Google Cloud in May-2024 to accelerate MLOps, generative AI and accelerated-infrastructure projects directed at enterprise customers, broadening access to GPU- and TPU-class acceleration through managed services. Indra formalised a cooperation agreement with the Barcelona Supercomputing Center in Oct-2024 to co-develop high-performance and dual-use compute solutions, creating a direct route for defense and civil agencies to access validated AI infrastructure. GMV expanded systems-level integration services for public administrations with hyperconverged accelerator bundles tailored for smart-city pilots. These vendor actions shorten time-to-prototype, increase confidence among municipal and enterprise buyers, and push hardware suppliers to prioritise validated stacks and managed-operations offerings for Spanish deployments.

*Research Methodology: This report is based on DataCube’s proprietary 3-stage forecasting model, combining primary research, secondary data triangulation, and expert validation. [Learn more]

Market Scope Framework

Hardware Architecture

  • GPU Accelerators
  • Domain-Specific AI ASIC/NPU/TPU
  • FPGA Accelerators
  • Hybrid/Heterogeneous Processors
  • DPU/Dataflow Processors

Power Envelope

  • Ultra-Low Power (Sub-5W)
  • Low Power (5–50W)
  • Mid Power (50–300W)
  • High Power (300–700W)

Memory Integration Type

  • On-Package HBM
  • On-Chip SRAM
  • External DRAM Interface

Node Type

  • Leading Edge (<7nm)
  • Performance Node (7–12nm)
  • Mature Node (>12nm)

End User

  • Hyperscalers & Cloud Providers
  • Enterprise Datacenters
  • OEMs / ODMs / System Integrators
  • Consumer Electronics Manufacturers
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