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.
On the basis of deployment mode, the global big data analytics in the aerospace & defense market has been categorized as on-premise and on-demand. The use of data as a marketable service is emerging considering its availability and the new service-oriented business models in the aerospace & defense industry. Data captured from the monitoring of major systems on an aircraft such as engines, avionics, and electrical can be fed into predictive maintenance models to forecast which parts and skills need to be deployed when, before failure. Fuel monitoring can be analyzed to make smarter fueling decisions, be they on the ground or at the procurement officer’s desk. Other data can help ascertain how different flying conditions affect engine performance and repair priorities. These types of insights are valuable to airline operators.
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).
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