An epithet for the real estate industry, this might as well describe the satellite big data (SBD) market — with the drive for digitization spanning multiple verticals, the need for satellite-based analytics solutions will only increase in the coming years.
That said, such solutions find greatest potential in applications where the spatial component of data is significant, and three non-mutually exclusive scenarios become immediately apparent: markets with mobile assets, large and distributed asset networks, or remotely located assets.
NSR’s Big Data Analytics via Satellite, 2nd Edition report identifies seven vertical markets as growth areas, and more than 70 percent of the share is held by the Transportation, Government and Military (Gov/Mil) and Energy markets throughout the forecast period. In each of these, we have characteristic instances of the above scenarios. The report highlights the growth opportunity for satellite-based big data will come from an understanding of customer needs in these verticals, which will be key if satellite players are to remain relevant in this space. Furthermore, satellite operators and geospatial analytics providers must understand the power of being data agnostic and extracting predictive insights out of large volumes of a variety of data.
The mobile nature of the transportation segment ensures that it remains important throughout the next decade, with nearly 1 out of every three dollars spent on SBD coming from land, maritime and aeronautical transport segments. Basic needs of asset tracking aside, market players need more novel value-added services for improved visibility into global and mobile operations, such as driver safety applications and intelligent cargo monitoring. Orbcomm’s recent release of a cloud-based intelligence service is an example of providing customers prescriptive insights that are actionable.
Government & Military
Taking up 26 percent of the total opportunity on average from 2017 to 2027, Gov/Mil is the second largest market for SBD analytics as we expect revenues to quadruple by 2027. NSR finds growth in this sector to be largely driven by the rise of geospatial intelligence (GEOINT), with EO applications growing at nearly twice the rate of M2M/IoT SATCOM applications. The continued support from the D&I establishment for GEOINT can be seen in instances like the National Geospatial Agency’s (NGA) recent $1.5 billion contract offer to Harris Corporation, to enhance its geospatial services.
Sustained demand is expected throughout the forecast period due to the very large and distributed nature of Gov/Mil operations. The recently launched geospatial maritime security platform, SEonSE, from Leonardo is one such application that merges a variety of data, leveraging the cloud to provide real time analytics.
M2M/IoT SATCOM will continue to play a major role in Energy, due to the remote nature of asset locations and the absence of terrestrial solutions. The increasing shift towards digitalization of Energy sector operations will drive SBD opportunity growth to a large extent. This move for automation is expected to give rise to low latency and high bandwidth requirements. To remain competitive, supporting increased data generation and providing applications that cater to the needs of key decision makers is crucial.
NSR’s considers that EO satellite-based analytics services are expected to grow in importance for this vertical, despite competition from unmanned aerial system (UAS) alternatives. This growth will be fueled by the rise of new sensing capabilities such as methane tracking and emissions monitoring solutions for O&G companies looking to mitigate financial risks.
The opportunity for satellite big data will be driven largely by the need for insight into mobile, remote and globally distributed assets in the Transportation, Gov/Mil and Energy sectors. Each of these verticals depend significantly on information obtained through the space segment.
While the technology ecosystem is fast becoming developed and customers are adopting digitization strategies, satellite operators and SPs will need to plan for newer applications to create value in these sectors. Value that needs to go beyond traditional geospatial solutions such as change detection and location intelligence. Value that looks beyond the 3Ls.
Article by Shivaprakash Muruganandham, NSR Analyst