Cloud is expected to have higher growth than Bigdata, IoT or Automation in the geospatial industry by 2020.
Understanding the extensive technology advancement happening around in all the industries is essential for a business to sustain. The innovation revolves mostly around IoT, Bigdata, Cloud and Robotics which shapes up the coming future. Although Bigdata, IoT, Cloud and Automation & Robotics are very much hyped already we need to understand why it drives the geospatial industry. And what is the future of these technologies and how will these technologies shape up in the coming years? The answer to the questions is encompassed in this blog.
The driving factors and key to future of geospatial industry needs to be analysed and this information is very much crucial to sustain in the coming years. The existing businesses need to grow up to the next level in the value chain as the processes are becoming more automatic and business direction is changing dynamically.
The Global Geospatial Industry Outlook, an exclusive study by Geospatial Media and Communications studies the technologies driving geospatial industry. The report explains how geospatial technology converges with Bigdata, Cloud, IoT and Automation and discusses the changing geospatial technology landscape. The study also ranks 50 economies on the basis of their geospatial preparedness.
Cloud enables people to access any information from anywhere in the world. Everything is connected. All the information is available online and data transfer or the communication also has to happen which is brought about through “Cloud”. As per the research, future of cloud is growing steadily. Cloud ensures better delivery of the geospatial solutions. The adoption of open source software, spatial analytics tools, etc. in the geospatial community is constantly increasing recently and this is driven by the enhanced infrastructure brought about by cloud. As the number of users of cloud in geospatial industry has increased and in future also it is projected to increase steadily to have a 70% adoption level. Almost three fourth of the business is forecasted to shift with the intervention of cloud. This indeed is a big transition, so the business community which is still delivering software through offline mode should direct their resources towards the cloud adoption.
IoT uses cloud to deliver the solutions. All the resources are in a connected environment and the resources uses the cloud platform to deliver the solutions. Between the years of 2012 and 2016, the market of IoT has seen a constant growth and in future 60% of geospatial solutions will have the convention of IoT. The driving technologies of today will be conventional technologies of tomorrow. By 2020, there are 50Bn devices are expected to be connected. So there is a constant growth in the market and the future is also projected to have a heavy increase.
Big data in the geospatial industry came in the year of 2012 . The intrusion of Bigdata in to the geospatial industry was less than 10% in 2012, which saw a steady growth in the consecutive years. As the operations started becoming more and more complex there were a lot of data being generated and all these data need to be analysed through some means and technique. Big Data helped in crunching the complex data into simple and understandable results. Further over the 2015-16, Bigdata saw steady increase in adoption within geospatial industry. The future projection of Bigdata is that it is seen to grow further nearly up to 50% of the adoption back in 2012.
Automation & Robotics
As the process is becoming more and more automatic the human intervention is reducing day by day. The projection of automation & robotics is rising towards 2020 is less than Bigdata, Cloud and IoT. There is a slight increase between the years 2012 and 2013 and a sudden drop towards 2014. In 2015, the Automation & Robotics industry is revamping and growing further towards 2020. In 2016, it has the highest adoption about of 15% and is expected to be nearly 40% in 2020. This substantiates the growing adoption of the automation & robotics in the geospatial industry.
All our “The hyped technologies” of IoT, BigData, Cloud and Automation & Robotics are driving the geospatial technology currently and expected to drive the industry in future as well but at a much bigger pace and at a larger level. The future of geospatial technology is destined by the driving technologies of IoT, Bigdata, Cloud, and Automation & Robotics.
(Source: Geospatial World)