Thales to acquire big data analytics company Guavus

Thales is to acquire the US big data analytics specialist Guavus, following several acquisitions in the fields of connectivity, mobility and cyber security. The acquisition opens broad opportunities for Thales in areas including predictive maintenance, cyber security, monitoring of critical infrastructures, network and telecommunication systems optimisation. Founded in 2006, Guavus has focused on the telecommunication and cable network operators’ market and has built a recognised industrial “big data” platf
April 28, 2017 Read time: 1 min
596 Thales is to acquire the US big data analytics specialist Guavus, following several acquisitions in the fields of connectivity, mobility and cyber security. The acquisition opens broad opportunities for Thales in areas including predictive maintenance, cyber security, monitoring of critical infrastructures, network and telecommunication systems optimisation.

Founded in 2006, Guavus has focused on the telecommunication and cable network operators’ market and has built a recognised industrial “big data” platform particularly suited to real-time analytics, designed to be easily implemented across any number of new markets. In addition, by bringing the expertise of its 160 strong R&D engineering workforce, Guavus will significantly enrich Thales's expertise in this field.

For more information on companies in this article

Related Content

  • Modelling MaaS and making it happen
    June 15, 2017
    Colin Sowman looks at some of the emerging technology being introduced to evaluate and operate Mobility as a Service. The fast-growing interest in Mobility-as-a-Service (MaaS) has prompted the creation of a host of software systems for those wanting to become a MaaS provider or participate in MaaS offerings. Most recently, at ITS International’s MaaS Market conference, Portuguese company Brisa Innovation announced a name change to A-to-Be to reflect its increasing involvement in the MaaS sector with the lau
    Read More
  • Detection analysis technology successfully predicts traffic flows
    February 3, 2012
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -
    Read More
  • Automated fare collection market predicted to almost double by 2021
    June 3, 2016
    According to a new market research report, Automated Fare Collection Market by Application (Rail and Transport, Parking), by Service Type (Consulting, System Implementation), by Technology, by Industry, by Region - Global Forecast to 2021, published by MarketsandMarkets, the global automated fare collection (AFC) market is estimated to grow from US$6.42 billion in 2016 to US$11.95 billion by 2021, at an estimated compound annual growth rate (CAGR) of 13.2 per cent. Automated fare collection applications
    Read More
  • Improving urban traffic control in Atlanta
    January 27, 2012
    Hugh Colton, Georgia DOT details move to improve urban traffic control in the Atlanta area. With a significant proportion of traffic using freeways and toll-ways, along with a significant investment in roadway infrastructure, urban arterials are often the poor relation when it comes to ITS investment. Hitherto the primary means of Urban Traffic Control (UTC) has been the ubiquitous traffic signal. Many traffic signals still operate in a standalone mode and traffic detection is often broken, leaving the sign
    Read More

Highlighted Content