Revenue Landscape
Where quantum money actually comes from
The quantum computing sector produced roughly $1.0–1.5B in vendor revenue in 2025 against ~$11.1B in cumulative private capital and $30–40B in government commitments. Approximately 70–80% of "quantum revenue" today is non-recurring: government contracts, R&D services, one-off hardware installations. McKinsey calls this a commercial tipping point. The data suggests it is more accurately the end of the pre-revenue phase for a small handful of vendors.
Sector revenue (2025)
$960.0M–$1.6B
McKinsey + triangulation
Private capital raised
$11.1B
cumulative, all-time (Tracxn)
Govt commitments
$30–40B
announced 2018–2026 globally
Capital ÷ revenue
25–35×
hype-to-reality ratio
Where the revenue comes from
2025 revenue source mix
| Source | 2025 Est. ($M) | % Sector | Recurring? | Notes |
|---|---|---|---|---|
| Government contracts | $400–600M | 45% | No | DARPA QBI, DOE QIS Centers, AFRL, NQCC, EU Quantum Flagship |
| Hardware sales / on-prem | $200–350M | 22% | No | IBM System One/Two deals dominate; IQM leads in unit count |
| Consulting & services | $150–250M | 17% | Yes | Accenture, IBM Consulting, Deloitte, Capgemini |
| Cloud / QCaaS | $80–150M | 10% | Yes | AWS Braket, Azure Quantum, IBM Quantum Platform, IonQ Cloud |
| Research grants & partnerships | $60–100M | 7% | No | NSF, EPSRC, NSERC channeled through industry |
| Post-quantum cryptography | $40–80M | 5% | Yes | Arqit, ID Quantique, PQShield, SandboxAQ |
| Software & licensing | $30–60M | 4% | Yes | Classiq, Zapata legacy, Quantinuum InQuanto, QC Ware |
Burn-to-revenue check
Public pure-plays — the brutal math
Combined market cap of public pure-plays: $39.0B on combined TTM revenue of $241.0M. IonQ alone accounts for 78% of the cohort's revenue. The other four combined generated less than $35M against a combined market cap of ~$18B.
| Company | Mkt Cap | Rev TTM | Mkt Cap ÷ Rev | Cash | Runway |
|---|---|---|---|---|---|
| IonQ IONQ | $20.8B | $187.0M | 111× | $3.1B | 4.5y |
| Rigetti Computing RGTI | $6.8B | $7.5M | 907× | $569.0M | 3.0y |
| D-Wave Quantum QBTS | $8.4B | $12.5M | 672× | $588.0M | 4.0y |
| Quantum Computing Inc. QUBT | $2.3B | $5.0M | 460× | $1.4B | 10.0y |
| Infleqtion INFQ | $720.0M | $29.0M | 25× | — | — |
Forecasts
TAM disagrees by an order of magnitude
Analyst forecasts disagree by an order of magnitude — primarily because some count direct vendor revenue while others count downstream economic value. McKinsey's $1B 2025 figure is the only one near current reality. Every 2030+ forecast assumes a logical-qubit inflection that has not yet been demonstrated commercially.
- McKinsey QC Monitor 2026 · 2028$4.4B
- BCC Research · 2029$5.3B
- IDC / Hyperion · 2027$9.5B
- McKinsey (implied) · 2030$20.0B
- McKinsey (computing only) · 2035$55.0B
- BCG (vendor) · 2040$130.0B
- BCG (economic value) · 2040$650.0B
Government tracker
Recent major contracts & programs
| Date | Program | Recipient | Amount |
|---|---|---|---|
| 2026-03-15 | UK ProQure procurement program | £2B national procurement | $2.7B |
| 2025-11-11 | DARPA QBI Stage B selections | 11 companies (~$15M each) | $165.0M |
| 2025-11-01 | DOE renews 5 National QIS Centers | BNL, Fermilab, Argonne, LBNL, ORNL | $625.0M |
| 2025-06-01 | UK National Quantum Strategy | NQCC + £670M over 10 years | $908.0M |
| 2025-01-15 | AFRL → IonQ (Qubitekk) | IonQ | $21.1M |
| 2024-09-15 | AFRL → IonQ networking contract | IonQ | $54.5M |
| 2024-07-25 | Illinois + DARPA Chicago package | PsiQuantum (Illinois Quantum Park anchor) | $760.0M |
| 2024-04-29 | Australian Govt + Queensland → PsiQuantum | PsiQuantum Brisbane facility | $620.0M |
Inflection
What needs to be true for revenue to scale
Today (2026)
- · IBM Condor: 1,121 physical qubits
- · Atom Computing: 1,180 atoms
- · Quantinuum Helios: 96 physical / 48 logical
- · Two-qubit fidelity: 99.5–99.9% best systems
- · Logical error rate: ~10⁻³ to 10⁻⁴
- · Hours-scale logical demonstrations
Required for utility
- · 10,000–1M+ physical qubits
- · 100–1,000 logical qubits
- · Two-qubit fidelity >99.99%
- · Logical error rate <10⁻⁷ to 10⁻⁹
- · Days-to-weeks of continuous logical computation
- · New algorithms beyond Shor/Grover/VQE with proven speedup
Use-case readiness ranking (analyst consensus): chemistry/materials simulation first (2028–2032), then optimization (slower, classical keeps improving), then machine learning (most speculative — QML advantage remains theoretically contested).
Sources: McKinsey Quantum Technology Monitor 2026, BCG, BCC Research, IDC/Hyperion, Tracxn, Crunchbase, SEC filings, DARPA, DOE, agency press releases. Figures rounded; pre-IFRS adjustments noted where material. Last verified May 12, 2026. See methodology.