Sensewaves, an emerging leader in complex time-series analytics for the Internet of Things, is proud to announce that they have been featured in ABI’s most recent report on Big Data and Analytics in IoT and M2M, as one of five vendors in the category of ‘Core Analytics’.

Big Data is no longer just a buzzword. ABI’s research report confirms the growing role of Big Data in machine-to-machine (M2M) communications and the Internet of Things (IoT), with the analysis firm forecasting that integrating, storing, analyzing and presenting IoT data will reach $5.7 billion in 2015. Businesses grapple with huge quantities and varieties of data on one hand, and ever-faster performance expectations on the other – while facing the enormous challenge to do so reliably and securely.

Sensewaves is an early-stage leader in time-series IoT analytics. The founders worked for a decade on complex sound waveform analysis at IRCAM, the leading institute in sound research. Through their advanced research identifying hidden information in complex signals, the team pioneered ground-breaking solutions in feature extraction, machine learning and data representation, all of which they have now applied to IoT machine and sensor data.

“Today less than one percent of IoT data is business-ready, yet the volume of this data is expected to increase by several orders of magnitude by 2020.” said Fivos Maniatakos, CEO of Sensewaves. “We will not be able to respond to this deluge of data with yesterday’s tools and approaches, especially to support real-time business innovations such as event monitoring or predictive maintenance. Our solutions deliver high-quality insights in real time, enabling companies to innovate in the way they manage their customers, machines and processes.”

About Sensewaves

Sensewaves makes connected assets smarter by transforming raw sensor data into impactful insights. Our solutions include predictive, behavioral, context and trend analysis for energy and lifecycle management applications – with an initial focus on real-time, context-aware anomaly detection for industrial and mission-critical applications. For more information, please visit our website at

To further explore the ABI study, visit the official webpage: