Annual AI Processors Market Development and AI Processors Quarterly Update report series package

Description

This report package contains the Annual AI Processors Market Development report along with the AI Processors Quarterly Update report series.

Annual AI Processors Market Development report

The evergreen Annual AI Processors Market Development report provides an in-depth picture of the AI processor market including a market map of 142 companies offering dedicated AI silicon or IP across 18 countries. The study details products, funding, leadership, geography, and SWOTs, and quantifies a $377 billion market in 2025, driven mainly by inference (cloud and local) and edge deployments (wearables to PCs). This market is projected to grow to $494 billion in 2026.

This Annual AI Processors Market Development report portion of the package contains the following content:

• A profile of 151 AIP vendors, of which 72% are privately held and most founded within the last 7 years.
• Examination of the start-up wave, which peaked in 2018, and the consolidation baseline, which has averaged 3 acquisitions per year since 2022.
• Analysis of the strategy shift, which is concentrated in cloud/local inference and edge; training remains capital-intensive.
• Details of the technology mix (GPUs, NPUs, CIM/PIM, neuromorphic processors, and matrix/tensor engines).
• Inclusion of common patterns such as tensor/matrix engines, near-compute SRAM + HBM/DDR, NoC fabric, and PCIe/CXL/NVLink/Ethernet off-chip links.

The Annual AI Processors Market Development report is a valuable resource for understanding the AI processor market, providing insight into the evolving market and capabilities of AI processors in use today and coming in the near future.

Annual AI Processors Market Development Table of Contents

• Introduction
• The market segments
  • What’s not included in this report
  • Market value
  • AI Processor Innovators: A short overview
• The companies
• Summary and conclusions
• Appendix
  • AI Processor companies — Segment summary
  • The processors of AI
  • When did a GPU become an SoC?
  • What is a GPU these days 25 years later?
  • Is a wearable an AI IoT or an Edge AI device?
  • Neuromorphic computing
  • Compute-in-Memory (CIM)
  • Comparison of CIM to neuromorphic
  • High-volume AI IoT device categories (consumer)
  • AI training
  • PyTorch
  • Industrial AI gateways
  • Imec
  • Sanctions

 

AI Processors Quarterly Update report series

The AI Processors Quarterly Update Report series update portion of the package includes four quarterly reports. These reports are an indicator of how the AI Processor market is and will behave.

These reports contain the following content:

• A comprehensive list of the AI processor suppliers
• Analysis of the shifting U.S.–China competitive landscape
• Profiles and interviews with notable start-ups and established players
• Trends in VC investment and market maturity

The AI Processors Quarterly Update report series is a valuable resource for understanding the AI processor market, providing insight into the capabilities of AI processors in use today and coming in the near future.

As of the end of the quarter, 154 suppliers—from industry giants to VC-funded start-ups—are chasing this $588 billion market. Presently, the market is entering a new phase marked by consolidation, strategic pivots, and differentiated bets on future compute paradigms.

Q3’26 AI Processors Quarterly Update Table of Contents

• Introduction 
  • How graphics became artificial intelligence
  • The AIP zoo
• Company developments
  • Alibaba’s T-Head builds China’s Nvidia alternative
  • SambaNova could cap AI CapEx
  • Efficient Computer pulls $60M to push energy-efficient AI to the edge
  • Koduri builds the Arm model for AI GPUs
  • Europe’s AI sovereignty dream gets a data center address
  • TAI builds edge AI silicon
  • AMD Instinct 455X targets Nvidia’s Rubin directly
  • DeepSeek moves toward its own AI chip
  • Sentient files for edge AI IPO
  • Europe’s AI sovereignty dream gets a data center address
  • Nvidia shrinks Blackwell for mass robotics
  • Semidynamics wants to make memory the metric that matters
  • Tensormesh turns GPU memory into software
  • The history of AI cuts through visual computing
  • Tensordyne bets on math to beat Nvidia
  • Nvidia’s new Vera Rubin platform makes inference a rack problem
  • Huawei pulls Ascend roadmap forward again
  • Imagination’s E-Series unifies graphics and AI
  • Euclid raises €200 million for AI silicon
  • Amazon bets $60 billion on Qualcomm
  • AMD builds physical AI around balanced compute
  • Arm extends its AI platform across cloud, mobile, and physical AI
  • Ato: A voice-first companion built for sensors
  • BrainChip puts Akida in every slot
  • Enflame completes China’s four-dragons IPOs
  • Groq 3 LPX accelerates agentic inference
  • Microchip acquires edge AI leader Hailo
  • Qualcomm splits flagship strategy in two
  • SambaNova tackles AI’s memory wall
  • US agencies accuse six Chinese AI firms
  • Alibaba builds its own AI stack
  • The processor is only one layer
  • An annual Zhenwu cadence
  • MediaTek pushes Dimensity 9600 Pro into agentic AI
  • ADI buys Alif’s AI-native microcontrollers
  • Axelera brings Europa into enterprise inference
  • Fujitsu Monaka exports AI chips globally
  • Google accelerates TPU cadence for AI
  • Transform claims cloud AI on edge
  • Xiaomi expands XRing into AI silicon
• Other AI processor news
  • FuriosaAI finds a European beachhead for efficient inference
• Appendix
  • The AI Processor library
    • AI Processor Tracker Service
    • Photonic AI Processors report
    • Neuromorphic AI processors
    • FPGAs as Ai processors
    • AI-based wearables