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11 Big Data trends for 2020

Given that the Big Data market is projected to become a more lucrative field in the coming years, it seems only too appropriate to take a quick look at the 11 most important Big Data trends driving the current landscape.

  1. Digital transformation waves – digital transformation (including the internet of things (IoT), artificial intelligence, machine learning and Big Data) is pushing technology all over the world. This will continue to grow as the importance of data and data centers increases.
  2. Climate change research – Big Data insights are likely to put the debate over climate change to rest in the near future. Moreover, they might also show interesting insights about what’s really going on with the planet’s climate.
  3. Realtime analytics – the power of data-heavy live data analytics is starting to become understood in a variety of industries, including the sporting and financial industries.
  4. Data-as-a-service – data-as-a-service is becoming almost as commonplace as the proverbial mom-and-pop stores that once covered the entire landscape, with more than 90% of enterprises in some areas taking advantage of the benefits of data-as-a-service.
  5. New growth areas for businesses – analytics in the form of business intelligence solutions has been helping businesses for some time now. While the numbers have been impressive thus far, the new generation of software should allow new heights to be achieved.
  6. Medical cures – many scientists hope that, by consolidating all the medical records ever accumulated on the planet, the speed of finding medical cures will become faster and sooner than expected.
  7. Reducing travel time – while full autonomous driving is still a long way from truly taking off, Big Data processing (fed by data records from mobile data users) could be the first giant step on this road. In the meantime, it will most certainly help reduce travel time and alleviate congested roadways. 
  8. Oil – one of the biggest beneficiaries of Big Data analytics is the petroleum industry. With exascale computing power now within the reach of oil companies, they have a better tool to probe into the enormous amount of data generated by seismic sensors.
  9. Natural language processing – Big Data, artificial intelligence, the internet of things and machine learning are pushing the boundaries of human and technological interaction as natural language processing brings a human feel to electronics.
  10. Data governance – following the introduction of the General Data Protection Regulation guidelines last year, data governance initiatives continue to mobilize globally. This means more uniform compliance for all business sectors that handle Big Data.
  11. Cybersecurity challenges – cybersecurity challenges will grow in number and complexity as the volume of data continues to increase.

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