Big Data in Aerospace and Defense

Big Data in Aerospace and Defense Market Outlook

The Big Data in Aerospace and Defense market is projected to reach approximately USD 45 billion by 2035, exhibiting a robust compound annual growth rate (CAGR) of 12% from 2025 to 2035. This growth is primarily driven by the increasing need for advanced data analytics and management solutions to enhance operational efficiency and decision-making within the aerospace and defense sectors. The escalating volume of data generated from various sources, including satellites, UAVs, and military equipment, necessitates efficient data processing and analysis capabilities. Moreover, the growing emphasis on cybersecurity measures in defense and aerospace systems serves as a significant catalyst for the adoption of big data technologies. Additionally, governments and organizations are investing heavily in research and development to leverage data-driven strategies, ultimately transforming traditional operations into more intelligent and responsive systems.

Growth Factor of the Market

Several factors are catalyzing the growth of the Big Data in Aerospace and Defense market. First, the increasing complexity of modern aircraft and defense systems generates substantial amounts of data, necessitating advanced analytics for operational and maintenance purposes. Second, the rise in cyber threats has spurred defense organizations to implement robust analytics solutions that can predict and mitigate risks, leading to an expanded market for big data technologies. Third, advances in AI and machine learning capabilities are further enhancing the utility of big data, enabling organizations to extract actionable insights more efficiently. Fourth, regulatory requirements and standards for data reporting and analysis in both aerospace and defense sectors are compelling entities to adopt sophisticated data management solutions. Lastly, the acceleration in digital transformation initiatives within these industries is fostering a conducive environment for adopting big data analytics.

Key Highlights of the Market

• Projected market size of USD 45 billion by 2035 with a CAGR of 12%.
• Increased implementation of predictive maintenance frameworks to reduce downtime.
• Growing emphasis on cybersecurity and risk management in defense operations.
• Enhanced data analytics capabilities driven by AI and machine learning technologies.
• Rising investments from government agencies in digital transformation initiatives.

By Application

Flight Data Monitoring:

Flight data monitoring is a critical application within the Big Data in Aerospace and Defense market, enabling real-time analysis of aircraft performance and operational efficiency. This application leverages data gathered from various sensors onboard aircraft to track flight parameters such as altitude, speed, and fuel consumption. The insights derived from this data assist airlines and defense organizations in optimizing flight operations, enhancing safety measures, and improving maintenance planning. With the growing trend of connected aircraft and the integration of IoT technologies, flight data monitoring is expected to expand significantly, providing actionable insights that can lead to improved operational decisions and reduced operational costs.

Predictive Maintenance:

Predictive maintenance is revolutionizing how aerospace and defense organizations manage equipment reliability and performance. By leveraging big data analytics, organizations can analyze historical and real-time data to predict potential equipment failures before they occur. This proactive approach minimizes unplanned downtime and maintenance costs, leading to significant operational efficiencies. The ability to use predictive algorithms to schedule maintenance activities based on actual equipment condition rather than fixed schedules is a game changer. As organizations increasingly adopt predictive maintenance strategies, they are realizing substantial cost savings and improved safety outcomes, thereby driving the demand for big data solutions in this segment.

Supply Chain Management:

The supply chain management segment within the Big Data in Aerospace and Defense market focuses on enhancing the efficiency and resilience of supply chains through data-driven insights. By analyzing data from various sources, organizations can optimize inventory levels, forecast demand more accurately, and improve logistics operations. Big data analytics facilitates better visibility across the supply chain, enabling organizations to identify potential disruptions and respond proactively. As global supply chains become more complex, the demand for sophisticated analytics tools that can provide real-time insights into supply chain dynamics is expected to grow, making it a vital area for investment and development.

Cybersecurity:

Cybersecurity is an increasingly significant concern for aerospace and defense organizations due to the rising threats from cyber warfare and data breaches. Big data analytics plays a crucial role in enhancing cybersecurity measures by enabling organizations to detect anomalies, identify potential vulnerabilities, and respond to threats in real-time. By analyzing large volumes of network data, security teams can gain insights into potential intrusions and employ machine learning to improve their threat detection capabilities. As cyber threats grow more sophisticated, the integration of big data analytics into cybersecurity frameworks will be essential for maintaining the integrity and security of sensitive defense information.

Others:

In addition to the primary applications mentioned, there are several other areas where big data is making an impact in aerospace and defense. These include training and simulation, where data analytics is used to improve training programs by assessing performance and learning outcomes. Additionally, big data is utilized in mission planning and execution, allowing for better resource allocation and decision-making. As more organizations recognize the value of data-driven insights, the "Others" category is likely to witness growth through innovative applications and use cases that enhance operational effectiveness across various aerospace and defense operations.

By Data Type

Structured Data:

Structured data refers to highly organized information that is easily analyzable by machines, typically stored in relational databases. In the Aerospace and Defense sector, structured data includes flight logs, maintenance records, and operational reports. The use of structured data analytics allows organizations to derive insights on efficiency and performance systematically. Furthermore, structured data plays a crucial role in compliance reporting and performance benchmarking, supporting regulatory requirements across the industry. As organizations continue to generate vast amounts of structured data, the need for efficient data management and analytics solutions will become increasingly important.

Unstructured Data:

Unstructured data encompasses a wide array of information that does not follow a predefined format, including emails, social media interactions, and sensor data streams. In the aerospace and defense context, unstructured data can provide invaluable insights into operational practices and customer feedback. Advanced analytical techniques, such as natural language processing (NLP), are employed to mine insights from unstructured data sources, allowing organizations to enhance decision-making processes. As the volume of unstructured data grows, the ability to analyze and derive actionable insights from this data becomes critical for strategic planning and operational optimization.

Semi-Structured Data:

Semi-structured data contains elements of both structured and unstructured data, often characterized by its ability to be organized but lacking a strict schema. Examples include XML files and JSON data used in various applications across aerospace and defense systems. The analysis of semi-structured data plays a pivotal role in integrating different data types, facilitating comprehensive data analysis that encompasses multiple perspectives. Organizations that effectively harness semi-structured data can optimize operational workflows, improve interoperability between systems, and enhance overall data analytics capabilities.

Time Series Data:

Time series data is a sequence of data points collected over time, crucial for monitoring trends and changes within aerospace and defense operations. This type of data is instrumental in areas such as flight data monitoring and predictive maintenance, where historical data is analyzed to forecast future performance and detect anomalies. The ability to analyze time series data allows organizations to optimize maintenance schedules, predict failures, and improve overall equipment effectiveness. As time series analysis methods become more advanced, organizations in the aerospace and defense sectors will increasingly rely on this data type to make informed operational decisions.

Geospatial Data:

Geospatial data includes information related to geographical locations and is vital for a range of applications across aerospace and defense industries. This type of data is utilized for mission planning, navigation, and situational awareness, allowing organizations to visualize and analyze spatial relationships effectively. Advanced analytics tools that incorporate geospatial data can enhance operational efficiency and support strategic decision-making processes. As the importance of geographic information systems (GIS) continues to grow, the integration of geospatial analytics into aerospace and defense operations will likely expand, providing organizations with deeper insights into their operational environments.

By Solution

Data Analytics:

Data analytics serves as the backbone of the Big Data market in aerospace and defense, enabling organizations to convert raw data into actionable insights. Through the application of predictive analytics, organizations can forecast maintenance needs, assess flight performance, and optimize logistics operations. By employing various analytical techniques, such as statistical analysis and machine learning, organizations can enhance their decision-making capabilities. The growing demand for data analytics solutions is a driving force in the industry, as stakeholders increasingly recognize the need for data-driven strategies to improve efficiency and effectiveness in operations.

Data Management:

Data management involves the processes and technologies used to collect, store, and utilize data effectively. In the aerospace and defense sector, robust data management solutions are essential for ensuring data integrity and availability. Organizations require efficient data storage systems that can handle large volumes of data generated from various sources. Furthermore, effective data management practices enable organizations to comply with regulatory requirements and standards, ensuring that critical information is always accessible and secure. As the volume of data continues to grow, the importance of effective data management solutions will remain a focal point for aerospace and defense organizations.

Data Visualization:

Data visualization plays a crucial role in facilitating understanding and insights from complex data sets in aerospace and defense applications. By transforming raw data into visual formats such as charts, graphs, and dashboards, organizations can communicate information more effectively across different stakeholders. This capability enhances collaboration and decision-making processes, enabling teams to grasp complex trends and insights quickly. As organizations increasingly adopt data visualization tools, the demand for intuitive and user-friendly solutions will continue to rise, allowing for seamless integration into existing operations.

Data Integration:

Data integration refers to the process of combining data from different sources to provide a unified view, which is particularly vital in aerospace and defense sectors given the diverse systems in use. Effective data integration solutions enable organizations to break down data silos, facilitating better collaboration and knowledge sharing among departments. By integrating various data types and sources, organizations can conduct comprehensive analyses that lead to informed decision-making and strategic planning. The growing emphasis on interoperability and seamless data sharing will further drive the demand for data integration solutions in this market.

Data Security:

Data security is a paramount concern in the aerospace and defense industries, where sensitive information must be protected from cyber threats and unauthorized access. Organizations are increasingly investing in data security solutions to safeguard their data through encryption, access controls, and robust compliance measures. With the rise of cyber attacks targeting critical infrastructure, ensuring data security has become a top priority. As organizations recognize the importance of protecting their data assets, the demand for comprehensive data security solutions will continue to grow, driving advancements in cybersecurity technologies.

By User

Government Agencies:

Government agencies are significant users of big data solutions in aerospace and defense, leveraging advanced analytics to enhance national security and operational efficiency. These agencies utilize data to support intelligence gathering, surveillance, and reconnaissance operations. By analyzing large volumes of data from multiple sources, government agencies can gain actionable insights that inform strategic decisions and policy-making. As the complexity of defense operations increases, the reliance on big data technologies will grow, leading to improved capabilities in safeguarding national interests.

Defense Organizations:

Defense organizations utilize big data analytics to enhance their operational effectiveness and strategic planning processes. Through the application of advanced analytics, these organizations can optimize resource allocation, improve mission readiness, and enhance training programs. The incorporation of big data solutions enables defense organizations to analyze data from weapons systems, logistics, and personnel management, leading to more informed decisions and improved outcomes. As defense organizations increasingly adopt data-driven methodologies, the demand for big data solutions within this segment will continue to expand.

Aerospace Companies:

Aerospace companies are increasingly leveraging big data analytics to improve product development, manufacturing processes, and customer service. By harnessing data from flight tests, manufacturing systems, and customer feedback, aerospace companies can optimize their operations and enhance product quality. Big data technologies enable these organizations to analyze vast amounts of operational data, providing insights that drive innovation and efficiency. As competition in the aerospace sector intensifies, the adoption of big data solutions will be crucial for companies seeking to maintain a competitive edge.

Intelligence Agencies:

Intelligence agencies leverage big data analytics to process and analyze vast amounts of data for national security purposes. By utilizing advanced analytics tools, these agencies can identify patterns, uncover threats, and enhance their intelligence-gathering capabilities. The ability to derive actionable insights from large data sets significantly improves decision-making processes and operational readiness. As intelligence operations become more complex and data-driven, the demand for innovative big data solutions within this segment will continue to grow, enabling agencies to adapt to evolving threats.

Others:

Other users of big data in the aerospace and defense market include research institutions, contractors, and technology providers. These entities utilize data analytics to support research initiatives, drive innovation, and optimize operational processes. Research institutions may analyze data for technology development and testing, while contractors leverage big data solutions to enhance project management and resource allocation. As the ecosystem around aerospace and defense evolves, the involvement of various stakeholders in utilizing big data technologies will expand, fostering collaboration and innovation across the industry.

By Region

The North American region dominates the Big Data in Aerospace and Defense market, accounting for approximately 40% of the global market share in 2025. The presence of key players such as Boeing, Lockheed Martin, and Raytheon, coupled with significant investments in technology innovation and national defense, has established North America as a leader in this sector. The region is projected to grow at a CAGR of 11% through 2035, driven by the increasing implementation of advanced analytics and data security measures to enhance operational efficiency and combat emerging cyber threats. Additionally, government agencies in the U.S. are continuously emphasizing data-driven decision-making processes, further propelling the demand for big data solutions across the aerospace and defense landscape.

In Europe, the Big Data in Aerospace and Defense market is expected to witness substantial growth, with a projected market share of around 30% by 2035. Europe's emphasis on regulatory compliance, coupled with growing concerns regarding security and data protection, is driving investments in big data technologies within this region. Countries like the United Kingdom, France, and Germany are leading the charge in adopting big data solutions for both defense and aerospace applications. The region is forecasted to grow at a CAGR of 10% from 2025 to 2035, as European aerospace and defense organizations increasingly recognize the importance of data-driven strategies to optimize operations and enhance decision-making capabilities.

Opportunities

The Big Data in Aerospace and Defense market presents numerous opportunities for growth and innovation, particularly as organizations increasingly adopt data-driven solutions to enhance their operational capabilities. One significant opportunity lies in the integration of artificial intelligence (AI) and machine learning technologies with big data analytics. These technologies can enhance predictive maintenance capabilities, allowing organizations to identify potential equipment failures and optimize maintenance schedules more effectively. As aerospace and defense sectors are investing heavily in digital transformation initiatives, the demand for AI-enhanced analytics tools will continue to rise, creating a fertile ground for technology providers and innovators to develop and offer advanced solutions that address industry-specific challenges.

Another promising opportunity in the market is the increasing focus on sustainability and energy efficiency within the aerospace and defense sectors. Organizations are exploring ways to utilize big data to enhance fuel efficiency, reduce waste, and lower carbon emissions. By analyzing data related to operational practices and environmental impact, aerospace and defense companies can identify areas for improvement and implement strategies that align with sustainability goals. This growing emphasis on sustainable practices not only contributes to global environmental initiatives but also opens up avenues for companies to differentiate themselves in a competitive landscape by showcasing their commitment to responsible operations. As regulations and consumer preferences increasingly favor sustainability, the integration of big data analytics into these endeavors will become a critical factor for success.

Threats

The Big Data in Aerospace and Defense market faces several threats that could hinder growth and innovation. One significant threat is the escalating risk of cyber attacks targeting critical infrastructure and sensitive data. As organizations in the aerospace and defense sectors increasingly rely on data-driven technologies, they become more vulnerable to sophisticated cyber threats. Cybersecurity breaches can lead to severe consequences, including financial losses, reputational damage, and compromised national security. As a result, organizations must prioritize investments in robust cybersecurity measures to protect their data assets and maintain operational integrity. The growing complexity of cybersecurity landscapes and the need for continuous monitoring and adaptation to emerging threats contribute to the challenges organizations face in ensuring data security.

Another potential restraining factor for the market is the regulatory landscape surrounding data privacy and protection. With increasing scrutiny on data usage and compliance, organizations must navigate complex regulations that govern the collection, storage, and analysis of data. Failure to comply with these regulations can result in penalties and legal repercussions, deterring organizations from fully leveraging big data analytics. The need for consistent and transparent data governance practices becomes paramount as organizations strive to balance the advantages of data analytics with the necessity of adhering to regulatory requirements. As the regulatory environment continues to evolve, organizations in the aerospace and defense sectors must remain vigilant and adaptable to ensure compliance and mitigate risks associated with data management.

Competitor Outlook

• IBM Corporation
• Raytheon Technologies Corporation
• Boeing Company
• Lockheed Martin Corporation
• Northrop Grumman Corporation
• Thales Group
• General Dynamics Corporation
• Airbus S.A.S
• Oracle Corporation
• Dassault Systèmes SE
• SAIC Inc.
• Palantir Technologies Inc.
• Siemens AG
• Honeywell International Inc.
• Microsoft Corporation

The competitive landscape of the Big Data in Aerospace and Defense market is characterized by a diverse array of companies, each vying for market share through innovative solutions and strategic partnerships. Major players such as IBM Corporation and Raytheon Technologies Corporation are at the forefront, leveraging their extensive expertise in data analytics and defense technologies to provide comprehensive solutions tailored to the unique challenges faced by the aerospace and defense sectors. With a strong emphasis on research and development, these companies continually invest in advanced analytics capabilities, ensuring that they remain competitive in a rapidly evolving market.

Lockheed Martin Corporation and Boeing Company are also prominent competitors in this space, utilizing big data to enhance operational efficiency and support critical defense initiatives. These organizations have established themselves as leaders by integrating cutting-edge technologies, including AI and machine learning, into their data analytics frameworks. By harnessing the power of big data, they are able to optimize operations, reduce costs, and enhance decision-making processes, thereby solidifying their positions as key players in the aerospace and defense market.

Furthermore, the emergence of new entrants and tech-focused companies adds to the competitive dynamics of the industry. Players like Palantir Technologies Inc. and Microsoft Corporation are making significant strides in providing advanced analytics solutions tailored for aerospace and defense applications. Their ability to deliver user-friendly platforms that facilitate data integration and visualization is gaining traction among organizations seeking to leverage big data for improved operational outcomes. As competition intensifies, companies will need to differentiate themselves through innovation and the delivery of value-added services, driving growth in the Big Data in Aerospace and Defense market.

• 1 Appendix

  • 1.1 List of Tables
  • 1.2 List of Figures

• 2 Introduction

  • 2.1 Market Definition
  • 2.2 Scope of the Report
  • 2.3 Study Assumptions
  • 2.4 Base Currency & Forecast Periods

• 3 Market Dynamics

  • 3.1 Market Growth Factors
  • 3.2 Economic & Global Events
  • 3.3 Innovation Trends
  • 3.4 Supply Chain Analysis

• 4 Consumer Behavior

  • 4.1 Market Trends
  • 4.2 Pricing Analysis
  • 4.3 Buyer Insights

• 5 Key Player Profiles

  • 5.1 SAIC Inc.
    • 5.1.1 Business Overview
    • 5.1.2 Products & Services
    • 5.1.3 Financials
    • 5.1.4 Recent Developments
    • 5.1.5 SWOT Analysis
  • 5.2 Siemens AG
    • 5.2.1 Business Overview
    • 5.2.2 Products & Services
    • 5.2.3 Financials
    • 5.2.4 Recent Developments
    • 5.2.5 SWOT Analysis
  • 5.3 Airbus S.A.S
    • 5.3.1 Business Overview
    • 5.3.2 Products & Services
    • 5.3.3 Financials
    • 5.3.4 Recent Developments
    • 5.3.5 SWOT Analysis
  • 5.4 Thales Group
    • 5.4.1 Business Overview
    • 5.4.2 Products & Services
    • 5.4.3 Financials
    • 5.4.4 Recent Developments
    • 5.4.5 SWOT Analysis
  • 5.5 Boeing Company
    • 5.5.1 Business Overview
    • 5.5.2 Products & Services
    • 5.5.3 Financials
    • 5.5.4 Recent Developments
    • 5.5.5 SWOT Analysis
  • 5.6 IBM Corporation
    • 5.6.1 Business Overview
    • 5.6.2 Products & Services
    • 5.6.3 Financials
    • 5.6.4 Recent Developments
    • 5.6.5 SWOT Analysis
  • 5.7 Oracle Corporation
    • 5.7.1 Business Overview
    • 5.7.2 Products & Services
    • 5.7.3 Financials
    • 5.7.4 Recent Developments
    • 5.7.5 SWOT Analysis
  • 5.8 Microsoft Corporation
    • 5.8.1 Business Overview
    • 5.8.2 Products & Services
    • 5.8.3 Financials
    • 5.8.4 Recent Developments
    • 5.8.5 SWOT Analysis
  • 5.9 Palantir Technologies Inc.
    • 5.9.1 Business Overview
    • 5.9.2 Products & Services
    • 5.9.3 Financials
    • 5.9.4 Recent Developments
    • 5.9.5 SWOT Analysis
  • 5.10 Dassault Systèmes SE
    • 5.10.1 Business Overview
    • 5.10.2 Products & Services
    • 5.10.3 Financials
    • 5.10.4 Recent Developments
    • 5.10.5 SWOT Analysis
  • 5.11 Lockheed Martin Corporation
    • 5.11.1 Business Overview
    • 5.11.2 Products & Services
    • 5.11.3 Financials
    • 5.11.4 Recent Developments
    • 5.11.5 SWOT Analysis
  • 5.12 General Dynamics Corporation
    • 5.12.1 Business Overview
    • 5.12.2 Products & Services
    • 5.12.3 Financials
    • 5.12.4 Recent Developments
    • 5.12.5 SWOT Analysis
  • 5.13 Honeywell International Inc.
    • 5.13.1 Business Overview
    • 5.13.2 Products & Services
    • 5.13.3 Financials
    • 5.13.4 Recent Developments
    • 5.13.5 SWOT Analysis
  • 5.14 Northrop Grumman Corporation
    • 5.14.1 Business Overview
    • 5.14.2 Products & Services
    • 5.14.3 Financials
    • 5.14.4 Recent Developments
    • 5.14.5 SWOT Analysis
  • 5.15 Raytheon Technologies Corporation
    • 5.15.1 Business Overview
    • 5.15.2 Products & Services
    • 5.15.3 Financials
    • 5.15.4 Recent Developments
    • 5.15.5 SWOT Analysis

• 6 Market Segmentation

  • 6.1 Big Data in Aerospace and Defense Market, By User
    • 6.1.1 Government Agencies
    • 6.1.2 Defense Organizations
    • 6.1.3 Aerospace Companies
    • 6.1.4 Intelligence Agencies
    • 6.1.5 Others
  • 6.2 Big Data in Aerospace and Defense Market, By Solution
    • 6.2.1 Data Analytics
    • 6.2.2 Data Management
    • 6.2.3 Data Visualization
    • 6.2.4 Data Integration
    • 6.2.5 Data Security
  • 6.3 Big Data in Aerospace and Defense Market, By Data Type
    • 6.3.1 Structured Data
    • 6.3.2 Unstructured Data
    • 6.3.3 Semi-Structured Data
    • 6.3.4 Time Series Data
    • 6.3.5 Geospatial Data
  • 6.4 Big Data in Aerospace and Defense Market, By Application
    • 6.4.1 Flight Data Monitoring
    • 6.4.2 Predictive Maintenance
    • 6.4.3 Supply Chain Management
    • 6.4.4 Cybersecurity
    • 6.4.5 Others

• 7 Competitive Analysis

  • 7.1 Key Player Comparison
  • 7.2 Market Share Analysis
  • 7.3 Investment Trends
  • 7.4 SWOT Analysis

• 8 Research Methodology

  • 8.1 Analysis Design
  • 8.2 Research Phases
  • 8.3 Study Timeline

• 9 Future Market Outlook

  • 9.1 Growth Forecast
  • 9.2 Market Evolution

• 10 Geographical Overview

  • 10.1 Europe - Market Analysis
    • 10.1.1 By Country
      • 10.1.1.1 UK
      • 10.1.1.2 France
      • 10.1.1.3 Germany
      • 10.1.1.4 Spain
      • 10.1.1.5 Italy
  • 10.2 Asia Pacific - Market Analysis
    • 10.2.1 By Country
      • 10.2.1.1 India
      • 10.2.1.2 China
      • 10.2.1.3 Japan
      • 10.2.1.4 South Korea
  • 10.3 Latin America - Market Analysis
    • 10.3.1 By Country
      • 10.3.1.1 Brazil
      • 10.3.1.2 Argentina
      • 10.3.1.3 Mexico
  • 10.4 North America - Market Analysis
    • 10.4.1 By Country
      • 10.4.1.1 USA
      • 10.4.1.2 Canada
  • 10.5 Middle East & Africa - Market Analysis
    • 10.5.1 By Country
      • 10.5.1.1 Middle East
      • 10.5.1.2 Africa
  • 10.6 Big Data in Aerospace and Defense Market by Region

• 11 Global Economic Factors

  • 11.1 Inflation Impact
  • 11.2 Trade Policies

• 12 Technology & Innovation

  • 12.1 Emerging Technologies
  • 12.2 AI & Digital Trends
  • 12.3 Patent Research

• 13 Investment & Market Growth

  • 13.1 Funding Trends
  • 13.2 Future Market Projections

• 14 Market Overview & Key Insights

  • 14.1 Executive Summary
  • 14.2 Key Trends
  • 14.3 Market Challenges
  • 14.4 Regulatory Landscape

Segments Analyzed in the Report

The global Big Data in Aerospace and Defense market is categorized based on

By Application

• Flight Data Monitoring
• Predictive Maintenance
• Supply Chain Management
• Cybersecurity
• Others

By Data Type

• Structured Data
• Unstructured Data
• Semi-Structured Data
• Time Series Data
• Geospatial Data

By Solution

• Data Analytics
• Data Management
• Data Visualization
• Data Integration
• Data Security

By User

• Government Agencies
• Defense Organizations
• Aerospace Companies
• Intelligence Agencies
• Others

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Key Players

• IBM Corporation
• Raytheon Technologies Corporation
• Boeing Company
• Lockheed Martin Corporation
• Northrop Grumman Corporation
• Thales Group
• General Dynamics Corporation
• Airbus S.A.S
• Oracle Corporation
• Dassault Systèmes SE
• SAIC Inc.
• Palantir Technologies Inc.
• Siemens AG
• Honeywell International Inc.
• Microsoft Corporation