The term Big Data refers to the set of data that, due to its characteristics, cannot be processed using conventional tools. Its main characteristics are volume, velocity, variety, value and veracity. The term was first used in 1997, and since then it has been of great importance in various fields of society, including marine sciences. The Big Data value chain is a technique for analyzing and leveraging information obtained from Big Data in making sound decisions, and is composed of three steps: data acquisition, analysis, and curation. Data sources in marine sciences come from government institutions such as NOAA, NASA and NODC and various devices used for data collection. Oceanography, marine biology, fisheries biology and aquaculture are the main sciences that will benefit from the rise of Big Data. Currently there are important Big Data projects in marine sciences, among which we can highlight “Real Time Aquaculture” developed by IBM Deep Sense and Fishtalk Control, by Akva Group, and its updates, aimed at facilitating the monitoring of fish farming farms and obtaining real-time information on the conditions of the crops as well as financial and marketing information.