Authors:
Suraj Gujar, Ankita Chavan
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Optical I/O for AI Chips Market Size & Share 2026-2035
Report ID: GMI16393
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Published Date: July 2026
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Optical I/O for AI Chips Market Size
The global optical I/O for AI chips market was valued at USD 1.1 billion in 2025. The market is expected to grow from USD 1.5 billion in 2026 to USD 6.4 billion in 2031 & USD 14 billion in 2035, at a CAGR of 27.8% during the forecast period according to the latest report published by Global Market Insights Inc.
Optical I/O for AI Chips Market Key Takeaways
Market Leader: Marvell Technology led with over 68% market share in 2025.
Leading Players: Top 5 players in this market include Marvell Technology, Coherent Corp, Lumentum Holdings, Broadcom Inc., Ayar Labs, which collectively held a market share of 93% in 2025.
The growth of the market is attributed to the ever-expanding infrastructure of AI data centers, the growing implementation of co-packaged optics (CPO), government initiatives to promote domestic advanced semiconductor manufacturing and silicon photonics technologies, and higher acceptance and usage of high-speed optical networking standards and protocols. In addition, continuous advancements in silicon photonics-based photonic integrated circuits and optical transceivers to enhance scalability and power-efficiency are also likely to aid market expansion.
Optical I/O for AI chips market is driven by growing number of AI data centers, the exponential growth in AI data centers around the world necessitates the use of solutions that can deliver more bandwidth and less power compared to existing electrical interconnects. Major hyperscale cloud companies are investing more on optical interconnects to facilitate extensive AI clusters. For instance, investment in optical interconnect technologies is being driven by governments investing in leading-edge semiconductors. Specifically, U.S. department of commerce CHIPS for America initiative (CHIPS and Science Act) funds domestic semiconductor research, advanced packaging, and silicon photonics to invest in U.S. AI compute infrastructure and the next generation of chips, to be able to boost the speed of optical interconnect technologies for AI data centers.[1]US CHIPS, nist.gov
Additionally, the market’s development is getting a significant boost from public investment in silicon photonics production and semiconductor ecosystem. Nations across the globe are ramping up funding for their homegrown semiconductor supply chains for AI hardware and photonics manufacturing capabilities. For instance, Europe is developing semiconductor ecosystem to support the optical I/O for AI chips market. In 2026, the European Commission endorsed state aid of euro 659 million for four first-ever semiconductor manufacturing projects across the EU under the EU Chips Act. To make matters clearer, the European Commission (EC) initiative aims to solidify Europe’s semiconductor supply chain, boost internal semiconductor output and facilitate innovative tech, such as silicon photonics as well as the next generation AI chips, which will spur the growth of the optical I/O solutions in the market.[2]European Chips Act, europe.eu
The optical I/O for AI chips market increased steadily from USD 122 million in 2022 and reached USD 606.9 million in 2024, as a result of rapid growth of AI data centers, continued investment in HPC, higher investment in CPO, silicon photonics and newer optical interconnect solutions. The growth was also supported by increasing adoption of high speed optical networking by hyperscalers due to energy requirements, progress in PIC technology and government initiatives supporting photonic manufacturing as well as new use cases for ultra-high-speed optical connectivity.
Optical I/O for AI Chips Market Trends
Optical I/O for AI Chips Market Analysis
Based on product type, the optical I/O for AI chips market is divided into linear pluggable optics (LPO), co-packaged optics (CPO), near-package optics (NPO), in-package optical I/O (OIO) and on-board optics (OBO).
Based on technology, the optical I/O for AI chips market is divided into silicon photonics (SiPh), indium phosphide (InP), thin-film lithium niobate (TFLN), heterogeneous / hybrid integration and others.
Based on application, the optical I/O for AI chips market is divided into AI training, AI inference, data center networking & switching and HPC & scientific computing.
North America Optical I/O for AI Chips Market
North America held a share of 57.8% of optical I/O for AI chips industry in 2025.
The U.S. optical I/O for AI chips market was valued at USD 71.6 million and USD 160.2 million in 2022 and 2023, respectively. The market size reached USD 602.5 million in 2025, growing from USD 339.7 million in 2024.
Europe Optical I/O for AI Chips Market
Europe optical I/O for AI chips industry accounted for USD 339.3 million in 2025 and is anticipated to show lucrative growth over the forecast period.
Germany dominated the Europe optical I/O for AI chips market, showcasing strong growth potential.
Asia Pacific Optical I/O for AI Chips Market
The Asia Pacific optical I/O for AI chips industry is anticipated to grow at the highest CAGR of 31.2% during the forecast period.
India optical I/O for AI chips market is estimated to grow with a significant CAGR, in the Asia Pacific market.
Middle East and Africa Optical I/O for AI Chips Market
Saudi Arabia optical I/O for AI chips industry to experience substantial growth in the Middle East and Africa.
Optical I/O for AI Chips Market Share
The optical I/O for AI chips industry is led by players such as Marvell Technology, Coherent Corp, Lumentum Holdings, Ayar Labs. These five companies cumulatively accounted for 93% market share in 2025. The major key players provide advanced technology leadership in areas such as silicon photonics, optical interconnects, CPO (co-packaged optics), and high-speed optical networking technology they have established robust partnerships with key hyperscale cloud service providers and the providers of AI infrastructure.
The leading players continue to expand competitive advantage through significant investments in photonic integrated circuits (PICs), high-speed optical transceiver technology, heterogeneous integration, and advanced packaging technology, these efforts are supported by a strong R&D portfolio, large-scale production capacities, and cooperation with top-tier semiconductor companies to cater to the rising demand for increased bandwidth, power efficiency and scalability for AI training clusters, inference systems, and hyperscale data centers.
Optical I/O for AI Chips Market Companies
Prominent players operating in the optical I/O for AI chips industry are as mentioned below:
Marvell is the top vendor in electro-optics silicon photonics and high-speed interconnects for AI. Marvell’s cutting-edge optical DSPs PAM4 and co-packaged optics solutions will provide ultra-high-bandwidth and low latency interconnect for AI cluster and hyperscale data centers.
Coherent Corp. is an optical transceivers, photonic integrated circuits (PICs), lasers and silicon photonics suppliers for AI networking applications. It provides high-speed 400G, 800G, and upcoming 1.6T optical solutions designed for increasing bandwidth needs of AI training and inference workloads.
Lumentum Holdings Inc. is an optical networking, lasers, and photonic components provider that serves the AI data center and cloud networking segments with high-speed networking solutions. Lumentum offers high performance optical engines and transceiver products that increase bandwidth density, energy efficiency and overall network scale and investments in optical network communication technologies.
Broadcom Inc is a leading provider of AI infrastructure networking solutions. With expertise in high-speed networking, silicon photonics, and optical connectivity technologies, including optical DSP, co-packaged optics (CPO) and optical interconnect technologies.
Ayar Labs, is a leader in in-package optical interconnect and optical I/O technology, aiming to boost performance, efficiency, and scaling of AI accelerators and high-performance computing (HPC). By leveraging optical I/O, silicon photonics and an optical chiplet architecture, Ayar labs technology replaces conventional electrical interconnects with optics.
68% market share in 2025
Collective market share in 2025 is 93%
Optical I/O for AI Chips Industry News
The optical I/O for AI chips market research report includes in-depth coverage of the industry with estimates and forecast in terms of revenue (USD Million) from 2022 – 2035 for the following segments:
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Market, By Product Type
Market, By Technology
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Market, By End-User
The above information is provided for the following regions and countries:
Table of Contents
Chapter 1 Methodology and Scope
Chapter 2 Executive Summary
Chapter 3 Industry Insights
Chapter 4 Competitive Landscape, 2025
Chapter 5 Market Estimates and Forecast, By Product Type, 2022 – 2035 (USD Million)
Chapter 6 Market Estimates and Forecast, By Technology, 2022 – 2035 (USD Million)
Chapter 7 Market Estimates and Forecast, By Application, 2022 – 2035 (USD Million)
Chapter 8 Market Estimates and Forecast, By End-User, 2022 – 2035 (USD Million)
Chapter 9 Market Estimates and Forecast, By Region, 2022 – 2035 (USD Million)
Chapter 10 Company Profiles
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Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
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✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
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Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
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Parameters studied & evaluated
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