Orbital Data Center Deployments
Market Data | 2Q 2026 | MD-SATODC-101
| 出版 | ABI Research |
| 出版年月 | 2026年05月 |
| 図表数 | 10 |
| ベーシックライセンス | USD 7,500 |
| 種別 | 英文調査報告書 |
| 商品番号 | SMR-21396 |
リサーチハイライト
- アクティブ衛星数予測：2025年から2035年までの運用事業者別年間予測。衛星コンステレーションの増強、劣化による交換、段階的な展開スケジュールを網羅。
- 実効MW容量予測：運用事業者および軌道タイプごとに、5つの年間劣化要因（太陽光効率、計算機の総電離線量（TID）劣化、シングルイベントアップセット（SEU）損失、ラジエーター効率、寄生損失）を考慮した物理ベースの容量推定値。
- ネットワークタイプ別セグメンテーション：kWスケールのエッジネットワークと軌道ハイパースケールネットワークのクラスごとに個別の予測シリーズを提供し、セグメントレベルの容量計画と市場規模の算出を可能にする。
- 軌道レベルの内訳：軌道レジーム（夜明け・夕暮れ時の太陽同期衛星（SSO）、低軌道（LEO 30°）、国際宇宙ステーション（ISS）搭載衛星）別に容量予測をセグメント化し、関連する電力経済性およびカバレッジパラメータを併記。
- セクター別配分：通信事業者の商業的重点分野とユースケースの準備状況に基づき、防衛・政府、商業、研究の各需要セグメントに容量を配分します。
- 対象事業者：SpaceX Starlink ODC、Starcloud、Blue Origin Project Sunrise、Google Project Suncatcher、ADA Space、Kepler、Axiom Spaceが含まれます。
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Actionable Benefits
- Capacity Planning: Access operator-level satellite deployment and effective Megawatt (MW) forecasts to plan ground infrastructure, ground station requirements, and service availability windows.
- Market Sizing: Quantify the addressable orbital compute capacity available by operator, network type, and orbit through 2035 to underpin business case development and investment decisions.
- Competitive Benchmarking: Track how rapidly each operator is scaling deployed capacity relative to peers—and how network type (Kilowatt (kW)-scale edge versus orbital hyperscale) shapes the deployment trajectory.
- Supply Shain Planning: Use satellite count forecasts by operator to estimate demand for compute payloads, solar arrays, optical Inter-Satellite Link (ISL) terminals, and launch services through 2035
Research Highlights
- Active Satellite Count Forecasts: Annual forecasts 2025–2035 by operator, covering constellation ramp, degradation-driven replacements, and tranche-by-tranche deployment schedules.
- Effective MW Capacity Forecasts: Physics-based capacity estimates incorporating five annual degradation factors—solar efficiency, compute Total Ionizing Dose (TID) degradation, Single-Event Upset (SEU) loss, radiator efficiency, and parasitic losses—for each operator and orbit type.
- Network Type Segmentation: Separate forecast series for kW-scale edge and orbital hyperscale network classes, enabling segment-level capacity planning and market sizing.
- Orbit-Level Breakdown: Capacity forecasts segmented by orbital regime (dawn-dusk SSO, LEO 30°, International Space Station (ISS)-hosted) with associated power economics and coverage parameters.
- Sector Allocation: Capacity apportionment across defense/government, commercial, and research demand segments based on operator commercial focus and use case readiness timelines.
- Operator Coverage: Includes SpaceX Starlink ODC, Starcloud, Blue Origin Project Sunrise, Google Project Suncatcher, ADA Space, Kepler, and Axiom Space.
Critical Questions Answered
- Satellite Deployments by Operator: How many active satellites will each Orbital Data Center (ODC) operator have in orbit in each year from 2025 to 2035?
- Effective MW by Operator: What compute capacity (effective MW) will each constellation deliver after accounting for degradation, orbital mechanics, and utilization?
- Network Type Breakdown: How does deployed capacity split between kW-scale edge operators (ADA Space, Kepler, Axiom) and orbital hyperscale operators (SpaceX, Starcloud, Blue Origin, Google)?
- Orbit Segmentation: How is capacity distributed across dawn-dusk Sun Synchronous Orbit (SSO), Low Earth Orbit (LEO) 30°, and other orbital regimes, and what are the implications for coverage and power economics?
- Sector Demand: How is effective MW capacity aligned with demand from defense/government, commercial Artificial Intelligence (AI) inference, Earth Observation (EO)/Synthetic Aperture Radar (SAR) processing, and secure data backup use cases?
- Deployment Ramp: What are the key deployment milestones by operator, and how do constellation ramp timelines compare across network types?
Who Should Read This?
- Satellite Operators and ODC Developers: Tracking competitive deployment progress and calibrating constellation business cases against market-level capacity forecasts.
- Ground Segment and Network Equipment Vendors: Using satellite count forecasts to size gateway, Telemetry, Tracking, and Command (TT&C), and optical ISL terminal demand through 2035.
- Compute Hardware Vendors: Forecasting demand for space-qualified Graphics Processing Unit (GPU), Field Programmable Gate Array (FPGA), and AI accelerator payloads from ODC operators scaling their constellations.
- Defense and Government Procurement Teams: Assessing available in-orbit compute capacity by year for mission planning and contract sizing.
- Investors and Analysts: Benchmarking operator deployment progress against forecast trajectories to assess execution risk and market share dynamics.
- Launch Service Providers: Using satellite deployment schedules to anticipate manifest demand from ODC operators across the 2025–2035 horizon.
Tables
- Active Orbital Data Center Satellites by Operator, World Markets: 2025
- Active Orbital Data Center Satellites by Network Class, World Markets: 2025 to 2035
- Active Orbital Data Center Satellites by Operational Orbit, World Markets: 2025 to 2035
- Active Orbital Data Center Satellites by Region HQ, World Markets: 2025 to 2035
- Active Orbital Data Center Satellites by Operator Industry Sector, World Markets: 2025 to 2035
- ODC Effective MW by Operator, World Markets: 2025
- ODC Effective MW by Network Class, World Markets: 2025 to 2035
- ODC Effective MW by Operational Orbit, World Markets: 2025 to 2035
- ODC Effective MW by Region HQ, World Markets: 2025 to 2035
- ODC Effective MW by Operator Industry Sector, World Markets: 2025 to 2035