Key Takeaways
- Quantum computing used for drug discovery in 20+ pharma partnerships.
- JPMorgan Chase simulated portfolio optimization saving 10% risk with quantum.
- ExxonMobil used D-Wave for carbon capture material discovery.
- Number of quantum computing companies worldwide surpassed 300 in 2024.
- IBM holds 25% market share in quantum cloud services with over 200 partners.
- Google Quantum AI team published 150+ papers since 2013.
- Total private investment in quantum computing reached $2.35 billion in 2023.
- U.S. government allocated $1.2 billion to quantum initiatives in FY2024 via National Quantum Initiative.
- European Union Quantum Flagship program funded €1 billion from 2018-2028.
- The global quantum computing market size was valued at USD 1.16 billion in 2024 and is projected to grow to USD 12.6 billion by 2032, exhibiting a CAGR of 34.8% during the forecast period.
- Quantum computing market revenue reached $757 million in 2023, expected to surge to $8.6 billion by 2029 at a CAGR of 30.6%.
- The quantum computing hardware market is anticipated to expand from $1.3 billion in 2024 to $18.4 billion by 2033, with a CAGR of 34.1%.
- IBM demonstrated 433-qubit Osprey processor in 2022.
- Google Sycamore achieved quantum supremacy with 53 qubits in 2019, later 70 qubits in 2023.
- IonQ Tempo system targets 64 algorithmic qubits with <0.1% error in 2023.
Quantum adoption is accelerating fast, with major enterprises using quantum to cut risk, costs, and fuel.
Related reading
Applications and Adoption
Applications and Adoption Interpretation
More related reading
Companies and Ecosystem
Companies and Ecosystem Interpretation
More related reading
Funding and Investments
Funding and Investments Interpretation
More related reading
Market Size and Projections
Market Size and Projections Interpretation
More related reading
Technological Milestones
Technological Milestones Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Timothy Grant. (2026, February 13). Quantum Computing Industry Statistics. Gitnux. https://gitnux.org/quantum-computing-industry-statistics
Timothy Grant. "Quantum Computing Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/quantum-computing-industry-statistics.
Timothy Grant. 2026. "Quantum Computing Industry Statistics." Gitnux. https://gitnux.org/quantum-computing-industry-statistics.
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