2016 geospatial technology and industry predictions that you need to know

2016 geospatial technology and industry predictions that you need to know


Geospatial World Magazine - January 2016Oh yeah, we have predicted it right! 2016 is the year of Monkey according to the Chinese Zodiac. While the year of Monkey will start from February 8, 2016, our time for Trends and Predictions for geospatial industry for 2016 has arrived a little early.

Being the Geospatial Knowledge Company, Geospatial Media has the privilege of speaking to numerous business and technology leaders. While the views of are reflected through the Annual 2016 of Geospatial World Magazine, here is what Arup Dasgupta, our Managing Editor has to say in the editorial 2016 could be a year of 'democratization'

Top Geospatial industry technology trends- predictions for 2016

1. Democratization of Geospatial

There is a shift towards consumption-oriented business models. Consumers are looking for localized geospatial solutions, but are not interested in putting together solutions themselves from scratch, buying data, systems and GIS software, coding their own applications and managing workflows.

2. Growth for Geospatial Services

Looking at the first point, there is an indication that geospatial services will continue to grow in the form of integrated applications, or apps. Apps bring the real world to the digital world and thus help the user to understand the problem and apply the right solutions to it.

3. Geospatial Apps for the user

Enterprise and mobile Apps will have to be platform agnostic, based on open standards and deployed on the Cloud. These GIS Apps will cover a very wide range from 3D solutions for engineers to location-based consumer solutions for tourists.

4. Big Data Analytics will be Key

The processing of large data streams, both structured and unstructured, will call for Big Data analytics. With the range of data collecting systems increasing from large and small satellites, aircraft and UAVs, static and mobile sensor networks and crowd sourcing, it is only a matter of time before Big Data analytics becomes a part of the armory of the geospatial professional.

5. Call for new partnerships – Government and Private

As solutions become complex, their realization will require partnerships between government institutions and private players, between data generators, hardware and software providers and developers. Partnerships will require sharing of data and intellectual property and this will have to happen in an environment of security that encourages confidence without become overbearing.

6. Geospatial Policies for Open Data

Universalization of apps will need certain policy initiatives like standardization and open data. While standardization of data has been achieved the open access to data is still work in progress. Data for public good is easily available but other data that has economic implications still requires to be purchased. Government institutions in many countries are still grappling with this issue, may see some light.

7. Privatization of solution providers

Clearly, where public good is involved, like at times of disaster, the government has to take a lead role. However, in areas like inventory, infrastructure, business and consumer affairs the private sector will play a bigger role.