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Thales to Acquire Guavus to Strengthen IoT Analytics Offerings

The combines business is expected to strengthen Thales’ portfolio of IoT analytics solutions targeted at the aerospace, ground transportation, space, security, and defense industries.

Written By

Sue Walsh

May 3, 2017

Guavus, Inc., a provider of big data analytics platforms, announced it is being acquired by Thales for $215 million.

Thales is a provider of technology for the aerospace, transport, defense and security markets. According to the announcement, Thales will acquire Guavus for $215 million.

Thales said that their technology products help airlines, air traffic control, urban transportation systems, and the energy and defense industries improve their real-time decision making. Acquiring Guavus will give the company new opportunities in predictive maintenance, cybersecurity, system optimization and critical infrastructure monitoring. (Related: Case studies on asset performance and production optimization).

Guavus provides a machine-intelligent operations automation platform that is touted as helping enterprises to deliver improved customer experience, reduce costs, and achieve the scale required by the Internet of Things (IoT). The company stated their deployments collect and analyze 5 petabytes of data each day.

“The application to Thales’s core businesses of Guavus’ technologies and expertise in big data analytics will strengthen our ability to support the digital transformation of our customers, whether in aeronautics, space, rail signaling, defense or security,” said Patrice Caine, Thales’ Chairman and CEO.

“The ability to manage big data on an industrial scale, particularly in real time will give a tremendous boost to the digital transformation of governments, businesses and cities,” Caine said.

“As networks of connected sensors expand, the volume of data they generate is growing exponentially. With the Internet of Things, the amount of data generated worldwide will reportedly double every two years. Beyond that, big data is of fundamental importance in many areas of artificial intelligence, which relies on the ability to process massive amounts of data,” Caine added.

The completion of the acquisition is subject to customary conditions and regulatory approvals and is expected to close in the third quarter of 2017.