2026 Global: Big Data In Aerospace And Defense Market -Competitive Review (2032) report
Description
The 2026 Global: Big Data In Aerospace And Defense Market -Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for big data in aerospace and defense market by geography and historical trend. The scope of the report extends to sizing of the big data in aerospace and defense market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
The Big Data in Aerospace and Defense market is dominated by a mix of traditional defense primes and specialist technology firms that provide analytics, cloud, and AI-enabled platforms for intelligence, operations, maintenance, and mission planning; ten major companies leading this space include Lockheed Martin, Northrop Grumman, Raytheon/RTX, Boeing, General Dynamics, L3Harris, BAE Systems, Leidos, Palantir Technologies, and Honeywell International. Lockheed Martin leverages large-scale sensor fusion and enterprise analytics across air, space and missile programs to deliver actionable intelligence and predictive maintenance for platforms and networks, reflecting its scale in defense systems and space services. Northrop Grumman applies advanced data processing and autonomous decision systems for ISR, cyber and space domains, integrating edge analytics and mission systems for persistent operations. RTX (Raytheon Technologies) focuses on sensor-to-shooter data chains, integrating advanced radar, EO/IR, and command-and-control analytics into air and missile defense solutions while investing heavily in AI-enabled signal and sensor analytics. Boeing couples avionics data, fleet health analytics and logistics data lakes to optimize sustainment and mission planning for military and commercial fleets, and its Defense segment uses big-data tools to support aircraft, satellite and autonomous programs.
General Dynamics, L3Harris and BAE Systems each provide platform-specific big-data solutions that emphasize secure communications, tactical edge computing and systems integration for ground, air and maritime forces. General Dynamics supplies integrated C4ISR and maintenance analytics to defense customers, often embedding data management within vehicle and shipboard systems. L3Harris delivers tactical radios, sensor-processing suites and distributed analytics that enable real-time battlefield awareness and throughput-constrained environments. BAE Systems combines secure data pipelines, analytics for electronic warfare and synthetic training environments, and telemetry/telemetry-processing capabilities for weapons, aircraft and space systems. Leidos and Booz Allen—while often categorized as systems integrators and services firms—operate large data-analytics practices supporting DoD programs, cloud migrations, cyber analytics and AI model deployment across classified and unclassified environments, driving many Big Data initiatives in defense IT modernization.
Palantir and Honeywell represent the specialist software and industrial-data ends of the market: Palantir provides enterprise-scale data fusion, modeling and mission-ops suites used for multi-source intelligence, logistics optimization and operational planning by defense and national security customers, while Honeywell brings avionics, IoT sensor data and industrial analytics to asset health, predictive maintenance and avionics systems for aerospace platforms. Together these ten firms span the end‑to‑end Big Data stack in aerospace and defense—sensors and platforms, secure edge and tactical processing, cloud and government‑grade infrastructures, analytics and AI/ML models, and decision-support tools—shaping procurement, sustainment and operational doctrine across military and space programs worldwide.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for big data in aerospace and defense market by geography and historical trend. The scope of the report extends to sizing of the big data in aerospace and defense market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
The Big Data in Aerospace and Defense market is dominated by a mix of traditional defense primes and specialist technology firms that provide analytics, cloud, and AI-enabled platforms for intelligence, operations, maintenance, and mission planning; ten major companies leading this space include Lockheed Martin, Northrop Grumman, Raytheon/RTX, Boeing, General Dynamics, L3Harris, BAE Systems, Leidos, Palantir Technologies, and Honeywell International. Lockheed Martin leverages large-scale sensor fusion and enterprise analytics across air, space and missile programs to deliver actionable intelligence and predictive maintenance for platforms and networks, reflecting its scale in defense systems and space services. Northrop Grumman applies advanced data processing and autonomous decision systems for ISR, cyber and space domains, integrating edge analytics and mission systems for persistent operations. RTX (Raytheon Technologies) focuses on sensor-to-shooter data chains, integrating advanced radar, EO/IR, and command-and-control analytics into air and missile defense solutions while investing heavily in AI-enabled signal and sensor analytics. Boeing couples avionics data, fleet health analytics and logistics data lakes to optimize sustainment and mission planning for military and commercial fleets, and its Defense segment uses big-data tools to support aircraft, satellite and autonomous programs.
General Dynamics, L3Harris and BAE Systems each provide platform-specific big-data solutions that emphasize secure communications, tactical edge computing and systems integration for ground, air and maritime forces. General Dynamics supplies integrated C4ISR and maintenance analytics to defense customers, often embedding data management within vehicle and shipboard systems. L3Harris delivers tactical radios, sensor-processing suites and distributed analytics that enable real-time battlefield awareness and throughput-constrained environments. BAE Systems combines secure data pipelines, analytics for electronic warfare and synthetic training environments, and telemetry/telemetry-processing capabilities for weapons, aircraft and space systems. Leidos and Booz Allen—while often categorized as systems integrators and services firms—operate large data-analytics practices supporting DoD programs, cloud migrations, cyber analytics and AI model deployment across classified and unclassified environments, driving many Big Data initiatives in defense IT modernization.
Palantir and Honeywell represent the specialist software and industrial-data ends of the market: Palantir provides enterprise-scale data fusion, modeling and mission-ops suites used for multi-source intelligence, logistics optimization and operational planning by defense and national security customers, while Honeywell brings avionics, IoT sensor data and industrial analytics to asset health, predictive maintenance and avionics systems for aerospace platforms. Together these ten firms span the end‑to‑end Big Data stack in aerospace and defense—sensors and platforms, secure edge and tactical processing, cloud and government‑grade infrastructures, analytics and AI/ML models, and decision-support tools—shaping procurement, sustainment and operational doctrine across military and space programs worldwide.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
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