Summary

Published September 2026

Market Forecasts, Technology Transitions and Competitive Opportunities in Optical Networking for AI Data Centers

AI Is Transforming the Optical Transceiver Industry. The massive expansion of AI is creating one of the largest growth opportunities in the history of optical networking. Hyperscale data centers are deploying increasingly powerful AI processors, building larger computing clusters, and demanding unprecedented levels of network bandwidth. As AI networks move from 400G to 800G, and eventually 3.2T, the market for optical transceivers is entering a period of rapid growth, technological disruption and competitive realignment.

CIR’s new report, “Pluggables in the AI Era:  A Forecast and Technology Assessment” provides an insider’s perspective on where the money will be made in this interesting market. It examines how AI is reshaping the optical transceiver market, which technologies will dominate, which suppliers are best positioned, and where the most attractive commercial opportunities will emerge through 2031. And the report combines detailed market forecasts with an assessment of the technologies, companies and infrastructure constraints that will determine the industry’s future.

CIR’s research identifies dramatic growth in demand for optical networking equipment as AI infrastructure spending accelerates. According to the report AI expenditures will increase to an extraordinary level this year; $622 billion.  Meanwhile, the role of the pluggable is often understated CIR believes that the pluggable share of the coherent devices in 2031 will be 87 percent

What This Report Reveals

These forecasts point to an industry in which growth is driven not simply by more data centers, but by fundamental changes in network architecture, bandwidth requirements and optical technology:

• The transition to 1.6T and 3.2T optics. CIR analyzes the evolution of the 400G, 800G, 1.6T and emerging 3.2T markets, identifying the timing of technology transitions and their implications for suppliers, manufacturing capacity and product investment.
• The growing importance of coherent pluggables. As AI computing expands across buildings, campuses and regions, coherent optical is moving into new applications. The report examines opportunities for 400G, 800G and higher-speed coherent solutions.
• NVIDIA’s influence on optical networking. NVIDIA’s increasingly integrated approach to AI infrastructure is changing network architectures and influencing the adoption of pluggable optics, copper interconnects and co-packaged optics. CIR assesses the commercial consequences for the optical supply chain.
• The competitive landscape. The report examines the positions of optical transceiver and component suppliers, including TeraHop, Eoptolink, Coherent, Acacia, Accelink, Marvell and Lumentum, as well as the evolving purchasing strategies of hyperscale cloud providers.
• Supply-chain opportunities and constraints. Explosive growth in transceiver shipments is creating new challenges in InP laser production, DSP availability, advanced optical packaging, assembly yields and testing capacity. CIR identifies the bottlenecks that could reshape supplier competitiveness.
• The infrastructure challenges facing AI expansion. Power availability, cooling, water requirements, transmission infrastructure and data-center construction schedules increasingly influence the timing of optical equipment purchases. The report assesses how these factors could affect market growth.

Who Should Purchase This Report?

This research provides actionable market intelligence for optical transceiver manufacturers, photonic component suppliers, semiconductor and DSP vendors, networking equipment companies, hyperscale infrastructure suppliers, private equity firms, venture capital investors, and corporate strategy teams.  Whether your organization is planning a new optical product, evaluating manufacturing investments, assessing acquisition opportunities or developing a long-term AI networking strategy, this report provides a foundation for informed commercial decisions.

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Table of Contents

Slide1: Pluggables in the AI Era

Slide 2: Contents

Slide 3: Summary

Slide 4: Executive Summary

Slide 5: AI spending expands the addressable market

Slide 6: IMDD forecast: 1.6T becomes the volume engine

Slide 7: Coherent forecast: 800G and pluggable DCO gain share

Slide 8: Business implications of the forecast

Slide 9: Market status

Slide 10: Optical pluggables driven by AI data centers

Slide 11: Pluggable Transceivers for AI networks Revenue

Slide 12: xPUs at the Heart of AI

Slide 13: Nvidia’s influence

Slide 14: Nvidia – from GPU vendor to AI infrastructure vendor

Slide 15: Nvidia grows optical demand and redirects where value accrues

Slide 16: AI networks evolve as compute expands beyond the rack

Slide 17: Simplified traditional one building AI Network

Slide 18: Simplified Campus AI network diagram

Slide 19: Significant headwinds

Slide 20: Supply chain challenges

Slide 21: IMDD and coherent pluggable module supply chains

Slide 22: IMDD dominates volume while coherent optics extends reach

Slide 23: IMDD module supply chain

Slide 24: Coherent pluggable supply chain

Slide 25: Volume growth changes procurement and manufacturing priorities

Slide 26: Power infrastructure

Slide 27: AI load growth is forcing a four-part infrastructure response

Slide 28: The buildout spans operating assets, restarts and first-of-a-kind reactors

Slide 29: Microsoft’s Three Mile Island deal shows the new bottleneck: the grid

Slide 30: Nuclear is splitting into three distinct infrastructure strategies

Slide 31: Meta’s Louisiana campus pairs firm gas supply with solar and new wires

Slide 32: Transmission planning is moving to large-load triage

Slide 33: Co-located power and microgrids trade grid delay for operating complexity

Slide 34: The winners will manage power delivery as an integrated program

Slide 35: Water requirements for U.S. AI data centers

Slide 36: U.S. data-center water demand

Slide 37: Where the water goes

Slide 38: Cooling choices determine local water demand

Slide 39: Water plans at major active U.S. sites

Slide 40: Microsoft Fairwater and the zero-water design

Slide 41: xAI Memphis and reclaimed-water infrastructure

Slide 42: Construction water needs stronger controls

Slide 43: Water requirements for new AI campuses

Slide 44: Community activism against AI data centers

Slide 45: Opposition has moved from isolated disputes to a national constraint

Slide 46: The leading campaigns span land use, environmental justice and utility policy

Slide 47: Virginia produced the clearest campaign victory

Slide 48: Local votes are delivering meaningful—but sometimes reversible—wins

Slide 49: Several campaigns have forced scrutiny or redesign without stopping construction

Slide 50: Statewide coalitions are shifting the debate toward who pays and who decides

Slide 51: Community opposition is now a material deployment risk

Slide 52: Market Outlook and Analysis

Slide 53: Forecast methodology

Slide 54: IMDD Pluggables – scale-up and scale-out

Slide 55: 800G IMDD modules by variant

Slide 56: 1.6T IMDD modules by variant

Slide 57: 3.2T IMDD modules

Slide 58: Coherent market – scale-across and DCI

Slide 59: 800G Coherent modules by form factor

Slide 60: 1.2T/1.6T Coherent modules by form factor

Slide 61: Top Transceiver Company Profiles

Slide 62 & 63: Accelink Company Profile

Slide 64 & 65: Cisco Company Profile

Slide 66 & 67: Coherent Company Profile

Slide 68 & 69: Eoptolink Company Profile

Slide 70 & 71: Genuine Optics Company Profile

Slide 72 & 73: Hisense Broadband Company Profile

Slide 74 & 75: Lumentum Company Profile

Slide 76 & 77: Marvell Company Profile

Slide 78 & 79: Source Photonics Company Profile

Slide 80 & 81: TeraHop Company Profile

Slide 82: About the Analyst