Matt Turck from FirstMark reviews the Big Data and AI hype cycles, competitive landscape, and key trends to watch in 2017 and beyond.
First, venture capitalists continue to be happy to fund both new and existing companies. The first few months of 2017 saw a flurry of announcements of big funding rounds for growth stage Big Data startups: Looker ($81M Series D), InsideSales ($50M Series F), DataRobot ($54M Series C), Confluent ($50M Series C), Collibra ($50M Series C), Uptake ($40M Series C), WorkFusion ($35M Series D) and MapD ($35M Series B). Also notable is DataBricks, which raised a $60M Series C in December. Big Data startups worldwide received $14.8B in venture capital in 2016, 10% of total global tech VC. It’s worth noting that activity in the space is truly global, with great companies being built and funded in Europe, Israel (e.g. Voyager Labs), China (iCarbonX), etc.