Splunk’s efforts in IoT analytics start bearing fruit

05 October 2016
Report type: Research Note
Author(s): Aapo Markkanen
Keywords: M2M, machine-to-machine, IoT, Internet of Things, Enterprise IoT, Industrial IoT, big data, analytics, systems integration, SIs, enterprise software, log management, machine data, sensor data, machine learning, artificial intelligence, platforms, cybersecurity, IoT security, threat intelligence, operational intelligence
Companies: Splunk, Booz Allen Hamilton, DB Cargo, Deutsche Bahn, EnerNOC, Myriad Genetics, Shaw Industries, TCS, Tata Consultancy Services
Number of Pages: 6

Of the leading enterprise-software vendors that are involved in the Internet of Things, Splunk is one of the few that started doing so when the IoT as a concept was still at its infancy. For this reason, tracking the company’s progress amongst enterprises over the past years has served as a valuable bellwether of how big data and analytics are being used to enable smart products and systems.

In this Research Note, Machina Research revisits Splunk’s position in the industry, and discusses how it reflects the wider IoT market. It is based largely on observations made during Splunk’s annual user conference, which was held in the end of September.

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