Market Highlights
Big data analytics refers to the analysis of large volumes of structured and unstructured data to derive actionable information. Data helps provide a better experience, making the aerospace & defense customer part of the value chain by understanding what they want. Aerospace & defense organizations, including militaries and air transport service providers, are using data analytics for predictive maintenance, vehicle and performance tracking, weather forecasting, route planning, and to increase reliability, improve arrival times (on-time percentages), streamline and automate processes, increase efficiencies, and save money.
On the basis of solution, the global big data analytics in the aerospace & defense market has been segmented into predictive maintenance, vehicle and performance tracking, weather forecasting, route planning, aftermarket, and others.
Based on technology, the global big data analytics in the aerospace & defense market has been classified as apps and analytics, cloud, computer, infrastructure software, networking, NoSQL, professional services, SQL, and storage.
By application, the global big data analytics in the aerospace & defense market has been divided into defense, commercial aerospace, and space. Apart from capturing real-time data from sources such as mobile devices, social media, sensors, log files, and transactional applications, big data analytics delivers a wealth and variety of mission-critical data for warfare. The big data techniques used by businesses to mine databases are being adopted by the military to glean more information from the many different types of data it collects from drones, automated cybersecurity systems, terrorist databases, and many other sources. The technology is expected to help soldiers on the battlefield and lead to enhancements in areas ranging from software development to vehicle maintenance.
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Key Players
The key players in the global big data analytics in the aerospace & defense market are Cyient (India), Accenture (Ireland), Airbus Defense and Space (Munich), IBM (US), Teradata Corporation (US), Amazon (US), Microsoft Corporation (US), Google (US), Cisco Systems (US), SAS Institute (US), and SAP SE (Germany).