Key Takeaways
- Germany raised its defence budget to €52.2 billion in 2024, a real-terms increase of 9% versus 2023.
- India’s defence expenditure was ₹5.94 lakh crore in FY2024 (BE estimate), per India’s budget documents.
- Thales reported €19.7 billion in 2023 sales (including defence-related segments).
- The global aerospace & defence MRO market size was $98.1 billion in 2024.
- The global military satellite services market was $6.7 billion in 2023 and expected to reach $13.6 billion by 2030.
- The global defence AI market was $11.2 billion in 2023 and forecast to reach $43.3 billion by 2032.
- The global defence cybersecurity market CAGR is 9.6% through 2032 (forecast).
- The global military drones market CAGR is 11.4% from 2024 to 2030 (forecast).
- The global defence market for electronic warfare increased at a CAGR of 5.3% from 2024 to 2029 (forecast).
- The Abrams M1A2 SEPv3 program planned to deliver 500+ tanks (as reported in US Army modernization plans).
- In 2023, US Space Force launched 105 satellites on 39 launches (Space-Track/NASA catalog aggregated in USSF annual summary).
- In 2022–2023, global commercial satellite launch providers delivered 1,852 satellites (OECD/UN registries report).
Germany and India continue boosting defence spending while global markets for cyber, AI, drones and munitions surge.
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Performance Metrics
Performance Metrics 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.
Catherine Wu. (2026, February 13). Defence Industry Statistics. Gitnux. https://gitnux.org/defence-industry-statistics
Catherine Wu. "Defence Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/defence-industry-statistics.
Catherine Wu. 2026. "Defence Industry Statistics." Gitnux. https://gitnux.org/defence-industry-statistics.
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