AI Training Server PCB Market Report: Trends, Forecast and Competitive Analysis to 2035

AI Training Server PCB Market

The future of the global ai training server pcb market looks promising with opportunities in the IT & communication, intelligent manufacturing, electronic commerce, security, and finance markets. The global ai training server pcb market is expected to reach an estimated $5.1 billion by 2035 from $1.8 billion in 2027 with a CAGR of 13.1% from 2027 to 2035. The major drivers for this market are the increasing demand for AI infrastructure, the rising adoption of high performance computing, and the growing investments in data center expansion.

• Lucintel forecasts that, within the type category, 20 layers is expected to witness higher growth over the forecast period due to complexity in high-speed signal routing requiring a higher layer count.
• Within the application category, IT & communication is expected to witness the highest growth over the forecast period due to increasing need for AI training infrastructure across networks.
• In terms of regions, APAC is expected to witness the highest growth over the forecast period due to growth of server and data center manufacturing in the APAC region.

Emerging Trends in AI Training Server PCB Market

From 2025 to 2027 the ai training server pcb market will favor high-layer, high-speed designs to accommodate increasing model sizes and high rack power. Lucintel predicts customers will favor advanced materials, tighter signal integrity and regional capacity. Laminates for PCB designs will increasingly be of higher quality due to the demands of high bandwidth training clusters. Currently the PCB market strongly favors the large OEMs. However, high quality and rapid qualification of PCBs is resulting in competition for the first tier OEMs beyond volume.

• High Speed Interconnects: With the 2024 announcement of the NVIDIA GB200 NVL72 platform and an expected completion of the platform in 2025, 72 GPUs in one rack will push PCB designs to low loss laminate and active impedance control with back-drilling. This will sustain demand for premium materials.
• Thermal Management: As published designs of the GB200 NVL72 reach sometime around 120 kW in a single rack, most PCB manufacturers are switching to higher weight copper, embedded thermal paths and designs that incorporate liquid cooling. In the next three to five years, thermal capacity will be a restriction for certifying or qualifying PCBs.
• Advanced Packaging Integration: Platform heterogeneity requires high bandwidth memory and shorter, more precise transitions between package and board. TSMC's CoWoS capacity expansion for 2025 reflects this. While substrate issues still exist, advances in HDI and package-level engineering will allow PCB manufacturers to capture greater value.
• Supply-chain Diversification: AI infrastructure is moving beyond East Asia into the United States, Europe, and Southeast Asia. Investments in integrated circuits and electronics are planned for 2025-2027. As a result, more customers are qualifying alternate manufacturing sources for strategic PCBs, and regional manufacturing will influence contract awards due to an interest in board-level design that minimizes Lead Time and the risk that of increased board-level export controls.
• Materials Sustainability: Increased regulatory scrutiny and procurement policies related to halogen content, energy use, and process waste are affecting customers and increasing sustainability expectations. IPC's continued work on 2025 standards focuses on defining measurable reliability and compliance with materials. Over the next five years, laminates that cause less loss and are more recyclable will be prioritized because they both help reduce carbon emissions and energy consumption during operation.

The artificial intelligence (AI) training server pcb market is in a specification-led growth phase. Customers will select suppliers offering signal integrity, thermal engineering, and advanced manufacturing with reliable regional capacity. Margins cannot be sustained by volume growth alone. Fast. Design collaboration and access to qualification data and materials will differentiate strategic partners from commodity board vendors, even more so as hyperscale investments continue.

Recent Developments in the AI Training Server PCB Market

The market for artificial intelligence (AI) training servers is moving into a capacity-focused market cycle as hyperscalers continue increasing their spending on AI infrastructure throughout 2027. According to Lucintel, increased spending will push demand for PCBs of higher layer count, more advanced cooling, and greater regional supply chain security. While spending is accelerating, QA timelines and substrate constraints make it unclear how quickly allocated capacity will turn into revenue.

• Accelerator Platform Launches: NVIDIA launched Blackwell Ultra in March 2025, targeting systems with 1.5 times the inference performance of its other products. Blackwell Ultra will drive increased demand for high-layer-count, low-loss PCB designs over the next three to five years.
• Hyperscaler Expenditure: In March 2025, Microsoft allocated $80 billion for AI-focused data center spending for its 2025 fiscal year. The spending commitment from Microsoft will maintain a strong demand for server PCBs, but suppliers will have to meet even tighter delivery and reliability constraints.
• Advanced Cooling Integration: NVIDIA's GB200 NVL72 uses 72 Blackwell GPUs and was released in March 2025. A liquid cooled design will drive the need for redesigns of backplanes and power distribution interconnect boards. Due to the increased design complexity, more advanced PCB manufacturers will have an even greater competitive advantage in this market.
• Investment in Regional Manufacturing: TTM Technologies announced a $100 million investment in their Syracuse, New York facility in February 2025. Customers of U.S. data centers will likely reduce their exposure to concentrated manufacturing in Asia to increase the domestic supply and shorten the qualification cycle.
• Higher Speed Interconnects: In June 2025, PCI-SIG released the PCIe 7.0 specification at 128 GT/s. The specification will set even more rigorous signal integrity which will drive further investment in advanced, high quality PCBs for AI clusters.

The next phase of the market will recognize suppliers capable of scaling with process control. Volume growth continues apace, although not every company that has announced building a factory will qualify. Boards with low loss materials, able to deploy liquid cooling, and capable of regional production will gain the most value. Buyers will certainly evaluate yield, energy efficiency, and the resiliency of the delivery. Competitive pressure for price will continue in markets featuring standardized designs.

Strategic Growth Opportunities in the AI Training Server PCB Market

Between 2024 and 2026, Lucintel forecasts AI training server demand will cause PCB procurement to shift toward more advanced material and design with increased supply chain resiliency. Lucintel believes this forecast will be correct as hyperscaler capex expands and power density and qualification create market opportunities for niche suppliers.

• AI Accelerators and Upgraded HSIs: AI Accelerators have finer lines and use more layers of low-loss substrate, thereby raising the average selling price. TSMC forecasts US$38-$42 billion capital spending for 2025, and thereby shifting value to PCB vendors that can provide excellent signal integrity and yield performance.
• Thermal-management Boards: AI racks cooled with liquid need PCBs that can manage higher currents, embed sensors, and operate with lower thermal budgets. In March 2025, Vertiv introduced a 1.3 MW AI Data Center Reference Platform. Cooling Integration will increase PCB content per rack over the next 3 to 5 years.
• Regional PCB Capacity: Clients are also sourcing manufacturing capacities outside of the traditional Asian markets to create less exposure to geopolitical risk and logistics. In February 2025, Meta allocated US$60 - US$65 billion for 2025 capex to fund data center construction in several regions. Local qualification will provide revenue opportunities for PCB manufacturers situated near new server installations.
• Less Impactful Materials: Clients are requesting PCB manufacturers provide halogen-free laminates and metal substrates, and pubic sourcing data for carbon footprint during their supplier selection. The Corporate Sustainability Reporting Directive affects large companies in the EU starting in January 2025. Design wins for hyperscalers will be more competitive due to Public sustainability goals during the directive.
• Engineering and Lifecycle Services: PCB suppliers have the potential to optimize profits by providing more than just bare boards; active collaborations during the design phase, signal integrity simulations, rapid prototyping, and failure analysis are all profitable value-added services. NVIDIA captured an astounding $11.0 billion in data center revenue for the quarter ending in February 2025. Faster platform refreshes will spur demand for collaborative engineering and aftermarket services.

The ai training server pcb market will likely enter a qualification-led growth phase. Return on investment will be greatest for signal integrity, thermal capability, and sustainability providers with regional capacity that supply documented sustainability. Buyers will opt for dependable yields over minimal price offers. The next five years will see design collaboration and lifecycle support differentiate strategic PCB partners from commodity fabricators as rack architectures undergo rapid and significant changes.

AI Training Server PCB Market Drivers and Challenges

The market for AI training server PCBs is evolving due to the AI workload boom, data center investment, advanced semiconductor architecture, new environmental needs, rapid device miniaturization and increasing demand for high-performance PCBs. Design trends drive increases in performance, density, and power levels of PCBs, while demand depends on the economic climate. Regulatory constraints play a large role in material sourcing, energy usage, and supply chain flexibility. During this period, Lucintel has identified these drivers as shaping the market landscape and player competition.

The factors responsible for driving this market include:

• Increasing AI Workloads: With the rapid adoption of generative AI, there is an increasing demand for high-end servers. These need to house advanced processors along with numerous accelerators and large, high bandwidth memory, and incorporate complex multilayer printed circuit boards (PCBs). Since January 2023, major cloud providers have begun to ramp up their AI infrastructure commitments ranging in the tens of billions of dollars, allowing them to deploy even larger servers. Over the next 3-5 years, high demand for large models, enterprise AI inference, and growing AI adoption across cloud, telecom, finance, and research sectors will further drive adoption of advanced server PCBs.
• Advanced PCB Technology: High speed networking, chiplet architectures, and bigger accelerator packages are fostering adoption of high density interconnect, ultra-low-loss laminates, and other advanced substrate technologies. In March 2025, new AI server platforms began to support data rates of up to 112 gigabits per second, thereby increasing board level requirements. Manufacturers are starting to implement improved impedance control, fine line structures, back-drill, and other advanced thermal control structures to keep reliability. During the next three to five years, a trend toward faster interfaces and more integrated architectures will make advanced PCB technology a key differentiator for the qualification and selection of server vendors.
• Data Center Investment: Hyperscalers, colocation service providers, and governments are making substantial deployments of data centers designed for accelerated computing. In April 2025, the global data center construction pipeline was in excess of several hundred gigawatts, demonstrating strong long-term infrastructure demand. Each of these deployments will create an ongoing demand for server, networking, power management, and storage equipment, thereby driving PCB demand. Compared to traditional data centers, AI-specific data centers also require many more servers per rack resulting in a greater demand for board technology. In the next three to five years, the market for data center deployments will trend upward; however, the timing will continue to be largely dependent on electricity availability and investment conditions.
• Thermal and Power Requirements: AI server deployment creates more challenges for cooling infrastructure and power delivery compared to traditional enterprise servers. In the next few years, demands for active cooling and advanced thermal management are expected to grow, along with the potential for greater energy consumption of up to 1000W per server module. There are some positive indications that PCB manufacturers have begun to address these challenges. They are beginning to incorporate heavier copper constructions, and improved dielectrics and thermal dissipation among other offerings to address these challenges. In this time, higher power and computing platforms will drive demand for greater power delivery and cooling capacity; however, this must be done without compromising the quality of the signal or the reliability of the system.
• Supply-Chain Localization: Recently, there has been a trend to source PCB components and other manufacturing services from multiple geographic locations due to transportation disruptions and geopolitical tensions. In addition to this, a focus on manufacturing in some regions has created single-sourced dependencies. Driven by these conditions, semiconductor and electronics manufacturers made significant investments in regional manufacturing in 2025. With increased manufacturing capacity through new supply agreements in North America, Europe, and Asia, suppliers are being evaluated based on multiple geographic locations individually, traceable supply chains, quick qualification, and security of supplied materials. This change is expected to improve continuity of supply over the next 3 to 5 years, though it may also increase production costs and complexity.

The challenges facing this market include:

• Difficulty Manufacturing AI Servers: More layers, more fine lines, low-loss materials, tight tolerances, and advanced tests make manufacturing AI server PCBs harder than manufacturing most server board PCBs. In June 2025, the high-end AI platforms introduced boards over 20 layers. This made fabrication and inspection even harder. Warpage, yield losses, drilling defects, loss of signal integrity, and other issues can drive up costs and lead to longer lead times for shipments. In the next 3 to 5 years, increased customer demand for faster design and qualification cycles will require manufactures to have more process control, automation, and engineering.
• Material and Capacity Issues: The rapid growth of AI infrastructure could cause a shortage of advanced laminates, copper foil, high-end drilling, and specialized assembly services. In September 2025, the lead times for some high-performance electronic materials remained multiple months, showing supply pressure. Constraints have the effect of price increases, substitution, and limiting participation for smaller suppliers. Capacity should improve in the next 3 to 5 years, but margins will still be uncertain due to the rapidly changing AI server demand, volatile energy costs, and fluctuating raw material supply.
• Environmental & Regulatory Pressure: PCB manufacturing uses a significant amount of water, chemicals, metals, and energy. There are also regulations on the control of hazardous substances, carbon emissions, waste, and the transparency of the supply chain. In January 2025, a more stringent regulation on sustainability reporting was implemented in some of the major markets. This will require more reporting from industrial suppliers. Higher reporting standards will push industrial suppliers to use more expensive cleaner chemistry, commit to the use of renewable energy, set up a recycling system, and keep better documentation of the materials they use. Over the next 3 to 5 years, environmental sustainability will affect a company's ability to win contracts. Environmentally sustainability conscious customers will reward companies that are efficient with their resources and environmentally conscious while competitors that do not have the capital to buy more efficient equipment and/or systems to monitor and report their emissions will suffer.

The market for AI training server PCBs will continue to grow due to the combined effects of heavy adoption of AI and the fact that data centers are being built and use advanced connectivity and power densification. Additionally, because of technology improvements and the need for thermal management, this market will continue to grow due to improvements in the products. Complex manufacturing, environmental issues, constraints on materials, and uncontrollable costs create challenges to a company's bottom line profitability and flexibility of supply. Over the next 3 to 5 years, companies that are able to ensure high levels of product yield, high levels of engineering, and sustainability efforts combined with adequate and reliable regional capacity will have the most success.

List of AI Training Server PCB Market Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies ai training server pcb market companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the ai training server pcb market companies profiled in this report include-

• Tripod Technology
• Gold Circuit Electronics
• Unimicron Technology
• Delton Technology
• TTM
• Compeq Manufacturing
• Nippon Mektron
• Ibiden
• WUS Printed Circuit
• Avary Holding

AI Training Server PCB Market by Segment

The study includes a forecast for the global ai training server pcb market by type, application, and region.

AI Training Server PCB Market by Type [Value ($B) from 2019 to 2035]:

• 18 Layers
• 20 Layers
• Others

AI Training Server PCB Market by Application [Value ($B) from 2019 to 2035]:

• IT & Communication
• Intelligent Manufacturing
• Electronic Commerce
• Security
• Finance
• Others

AI Training Server PCB Market by Region [Value ($B) from 2019 to 2035]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the AI Training Server PCB Market

Artificial intelligence infrastructure is evolving how high-elevation, high-speed printed circuit boards are purchased. High level growth of server capacity by hyperscalers is changing procurement techniques. In the next three to five years, manufacturers may prioritize advanced materials and larger substrates and lead regional production. Based on Lucintel's latest market forecasts, the highest level of investment interest is focused on data-center electronics.

• USA: TTM Technologies is investing $130 million to expand advanced PCB manufacturing in New York, USA (October 2024). Localized PCB fabrication helps ensure on-schedule supply for AI training servers and addresses the possibly prolonged reliance on fabrication in Asia.
• China: High value HDI and multilayer boards and IC substrates capacity investment by Zhen Ding Technology, reportedly an approximate NT$30 billion investment for 2025 (March 2025), is important because it signals a faster integrated electronics supply chain to support domestic manufacturing of AI servers and shorter cycle qualification periods for major cloud and hardware companies.
• Germany: Higher level partnership. SCHWEIZER Electronic made an expansion in their partnership with Infineon regarding power electronics (May 2025). This is important because high-value server and power conversion systems in Europe are increasingly using advanced high-density PCBs.
• India: Government-backed manufacturing: India's Electronics Component Manufacturing Scheme was approved in March 2025, with an outlay of ₹22,919 crore, which includes multilayer PCBs and associated manufacturing. The policy aims to enhance the economics of domestic PCB investments, localization of suppliers, and expansion of India's role in assembling AI-servers over the next three to five years.
• Japan: Investment in advanced substrates: by November 2024, Ibiden will have announced a cumulative investment of around ¥500 billion to set up advanced IC substrate capacity for data center applications. This shows that Japanese substrate technology and materials are vital for building high-density AI processors and server board connectivity.

Features of the Global AI Training Server PCB Market

• Market Size Estimates: ai training server pcb market size estimation in terms of value ($B).
• Trend and Forecast Analysis: Market trends (2019 to 2026) and forecast (2027 to 2035) by various segments and regions.
• Segmentation Analysis: ai training server pcb market size by type, application, and region in terms of value ($B).
• Regional Analysis: ai training server pcb market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
• Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the ai training server pcb market.
• Strategic Analysis: This includes M&A, new product development, and competitive landscape of the ai training server pcb market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the ai training server pcb market by type (18 layers, 20 layers, and others), application (IT & communication, intelligent manufacturing, electronic commerce, security, finance, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 7 years and what has its impact been on the industry?