AI Accelerator PCIe Card Market Accelerates with Rising Demand for High-Performance Computing and AI Infrastructure Expansion Forecast 2026-2032

Market Summary

The market's characteristics as well as new and upcoming trends influencing industry growth are examined in a recently published study by QY Research titled AI Accelerator PCIe Card Market. In addition to offering a thorough analysis of regulatory frameworks, market entry strategies, industry best practices, pricing models, technological advancements, and trends in demand, sales, and consumption, the study highlights the key factors propelling and impeding market progress. To provide readers with accurate information and trustworthy data, growth estimates for the past year are presented. All things considered, the study presents a more thorough and lucid picture of the market environment.

The global AI Accelerator PCIe Card market was valued at US$ 4941 million in 2025 and is anticipated to reach US$ 13144 million by 2032, at a CAGR of 15.0% from 2026 to 2032.

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Purchasing this report provides a comprehensive, fact-based summary of the market environment to aid in strategic planning and well-informed decision-making. It offers free customization based on customer needs, including a thorough competitive analysis of segment-by-segment revenue among major market players and country-level analysis for any five chosen countries. The report equips manufacturers, investors, and stakeholders with actionable intelligence to find high-growth opportunities, improve operational efficiency, and maintain a strong competitive position in the market by providing in-depth insights into market trends, growth drivers, challenges, competitive dynamics, and emerging opportunities.

Segment Insights

The report analyzes two primary market segments type and application offering in-depth insights into the latest trends and growth opportunities across each product and application category. This analysis enables clients to assess potential risks and investment opportunities with greater confidence. Additionally, the study incorporates value chain-based market sizing and forecasting. Readers gain access to comprehensive sales and revenue data for each type and application segment spanning the forecast period from 2025 to 2031.

Regional Insights

This research study covers key geographic regions including North America, Europe, Asia Pacific, Central and South America, and the Middle East & Africa. The analysis includes regional growth opportunity mapping and comprehensive SWOT assessments, considering political and legal, economic, and technological factors. Readers are provided with regional and country-level sales and revenue forecasts for the period starting in 2025. Additionally, this section presents key regional sales statistics segmented by type and application through 2031.

Competitive Viewpoint

In this segment of the report, the specialists have carried out a detailed share analysis of key companies. The section also offers reliable sales and revenue data of the manufacturers for the period 2025 - 2031. Recommendations by experts to assist clients to gain a competitive edge are also incorporated in the report. Through this information, the competing players will gain accurate competitive intelligence, which will help them known their standing, plan their future actions, and make effective business choices in the years to come.

Sustainability and Regulatory Compliance Reshape Product Innovation

Increasing global emphasis on sustainability and stricter regulatory frameworks is driving companies to rethink their product development strategies. Businesses are now focusing on eco-friendly materials, energy-efficient processes, and compliance with environmental and safety regulations to meet consumer expectations and legal requirements. This shift encourages innovation in product design, formulation, and functionality, enabling companies to gain a competitive advantage while minimizing environmental impact. By aligning operations with sustainability goals and regulatory standards, market players can tap into new growth opportunities, improve brand reputation, and ensure long-term business resilience.

Key Driver for AI Accelerator PCIe Card Performance Advancement

The sustained explosive growth in performance of AI accelerator PCIe cards fundamentally relies on the rapid iteration and ecosystem maturation of the PCIe interconnect protocol. As the sole high-speed "data highway" connecting accelerator cards to the CPU, memory, and storage, the rate leaps of the PCIe standard directly determine the capability for massive data throughput and extremely low latency required by AI/ML workloads. Within just a few short years, from PCIe 4.0 (16 GT/s) to PCIe 5.0 (32 GT/s) and then to PCIe 6.0 (64 GT/s), bandwidth has achieved double or even quadruple improvements. The PCIe 7.0 (128 GT/s) specification is already in the development stage, providing ample channel capacity for next-generation inference and training of models with hundreds of billions of parameters. Concurrently, to break through single-chassis computing bottlenecks and construct ultra-large-scale AI clusters across servers and racks, PCIe link extension technologies have achieved major breakthroughs. Through PCIe Active Electrical Cables (AEC), Active Optical Cables (AOC), and Optical Retimers, the reliable transmission distance for PCIe signals has been extended from the traditional less than 1 meter to several meters or even tens of meters, supporting rack-level and even datacenter-level direct interconnect. The signal integrity challenges brought by high-speed, long-distance transmission have directly spurred explosive growth in the market for PCIe Retimer chips. Retimers effectively compensate for channel loss and jitter by receiving, performing Clock Data Recovery (CDR), equalizing, and re-driving high-speed differential signals, ensuring PCIe 5.0/6.0 reliability with BER < 10−12 over long distances. A typical 8-card AI server nowadays often requires the integration of 8-16 or even more Retimer chips. These factors work in concert, enabling AI accelerator PCIe cards to rapidly advance from tens of GB/s per card bandwidth to the hundreds of GB/s level. They have evolved from isolated deployment within a chassis to supporting new architectures for memory pooling, computing power sharing, and heterogeneous collaboration, such as CXL.cache, CXL.mem, and CXL.io. This continuously satisfies the "appetite" of generative AI, trillion-parameter model training, and real-time ultra-large-scale inference for extreme bandwidth and ultra-low latency, establishing them as the most critical infrastructure evolution path determining the performance ceiling of next-generation AI infrastructure.

The Evolution of Future PCIe Accelerator Cards Driven by AI System-Level Innovation: From Computing Unit to Resource Hub

As AI computing shifts from the pursuit of singular computing power towards system-level collaborative optimization, the role of PCIe-based accelerator cards within AI accelerators is undergoing a fundamental upgrade, becoming a critical hub for overcoming AI system bottlenecks. On one hand, traditional VRAM capacity struggles to meet the massive memory demands of large-scale models. The industry is addressing this by leveraging the open, high-speed interconnect standard Compute Express Link (CXL) to enable memory pooling and sharing across nodes. This technology allows CPUs and accelerators to access a unified memory address space, thereby overcoming the memory wall limitations of a single machine and significantly improving memory expansion efficiency through higher bandwidth and cache coherency. The CXL 4.0 specification is the latest embodiment of this trend, which substantially increases bandwidth and scalability over its predecessors to support large-scale AI system memory-sharing deployments, paving the way for multi-rack memory pools to become a reality. This dynamic scheduling capability for memory resources means that future CXL-enabled accelerator cards will not only provide computing power but also assume the role of memory expanders, endowing the entire AI system with a more flexible and composable architecture for computing and storage resources. Concurrently, to address the increasingly concentrated power consumption and thermal design challenges of AI clusters, data centers are increasingly adopting advanced liquid cooling designs to enhance energy efficiency and thermal dissipation density. Liquid-cooled accelerator cards and systems from industry leaders have become mainstream solutions. These solutions significantly improve thermal management capabilities through technologies like direct liquid cooling, establishing themselves as fundamental infrastructure supporting high-density AI deployments. Finally, at the level of the interconnect ecosystem, competition between open standards and closed ecosystems is influencing future development directions. Open interconnect ecosystems, such as CXL and the concurrently advancing open interconnect scheme UALink, enable more AI accelerator chip suppliers to gain fair access and collaboratively build a unified system resource pool. This reduces dependence on single-vendor proprietary interconnects and expands market choice. The strategic interplay of these interconnect ecosystems will continue to influence the path of system-level innovation and the market landscape in the coming years.

Report Scope

This report delivers a comprehensive overview of the global AI Accelerator PCIe Card market, with both quantitative and qualitative analyses, to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current market, and make informed business decisions regarding AI Accelerator PCIe Card. The AI Accelerator PCIe Card market size, estimates, and forecasts are provided in terms of output/shipments (K Units) and revenue (US$ millions), with 2025 as the base year and historical and forecast data for 2021-2032.

The report segments the global AI Accelerator PCIe Card market comprehensively. Regional market sizes by Type, by Application, by PCIe Card Size, and by company are also provided. For deeper insight, the report profiles the competitive landscape, key competitors, and their respective market rankings, and discusses technological trends and new product developments.

This report will assist AI Accelerator PCIe Card manufacturers, new entrants, and companies across the industry value chain with information on revenues, production, and average prices for the overall market and its sub-segments, by company, by Type, by Application, and by region.

Mentioned below is the list of key participants profiled in this research report:

Hitek Systems
NVIDIA
Axelera
ASUS
Hailo
EdgeCortix
Inspur Electronic Information Industry
Huawei
Beijing Cambricon Technologies Corporation
Jiangyuanxin Technology (Shanghai)
Shanghai Enflame Technology
Kunlunxin (Beijing) Technology
Shanghai Biren Intelligent Technology
Shanghai Tianshu Zhixin Semiconductor
Beijing Moore Threads Technology

AI Accelerator PCIe Card Market by Type:

Single PCIe Card
Dual PCIe Card

AI Accelerator PCIe Card Market by Application:

Cloud Servers
Data Centers
Other infrastructure

Recent Developments

The authors of the report have put forward recent developments by key participants. Other strategic activities by manufacturers such as M&A, joint ventures, collaborations, innovation, product offerings, and research and development activities are highlighted in this research study. This will keep the users up-to-date about the undertakings and give the users a crystal-clear understanding of the key advancements emerging in the business.

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Frequently Asked Questions

• At what growth rate is the application segment expected to expand?

• Which factors will lead to the AI Accelerator PCIe Card Market expansion?

• What will be the global AI Accelerator PCIe Card Market size by 2031?

• What are the key constraints in the AI Accelerator PCIe Card Market growth?

• Which type segment will witness healthy growth from 2025 to 2031?

• Which region presents lucrative growth prospects?

• Which companies are the key innovators in the AI Accelerator PCIe Card Market?

• What are the key business strategies for post-covid recovery?

• Who are the key leaders in the global AI Accelerator PCIe Card Market?

• Which technological advancements will influence the AI Accelerator PCIe Card Market growth?

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