Top Strategic Technology Trends for 2020


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The first day after the celebration of the New Year is the usual time when we look back and analyze the changes that happened in the last year. This year, we should make a change. As this year comes to its end, let’s analyze the technological changes that happened in 2019 right now. 

In my opinion, 2019 is more about laying groundwork than historic breakthroughs. The year has ushered in a tidal wave of tech innovations, from the rise of social robots and personal assistants to Amazon Prime’s one-day delivery gamble and the proliferation of voice search. And, everything is an extension of technology trends of 2018.  

Also, 2019 empowers us in terms of AI in business operations, extensive application of blockchains, growing of NLP, and many more. In short, 2019 is a year of progression. 

Thus, it is worth saying that 2020 will be another exciting year of strategic technology changes. We can expect yet another innovative technology trends to begin next year.

Here are some Strategic Technology Trends for 2020. 

Hyper Automation

Hyper automation is a combination of multiple machine learning (ML), packaged software, and automation tools. It refers not only to the breadth of the pallet of tools but also each step of automation (discovers, analyzes designs, automates, measures, monitors, and reassess). 

Understanding the range of automatic mechanisms, how they relate to one another, and how they can be combined and coordinated will be the major focus for hyper automation in 2020.  

Robotic Process Automation 

Similar to AI and Machine Learning, Robotic Process Automation (RPA) is another technology that can automate jobs. It will automate business processes such as interpreting applications, processing transactions, data dealing, and reply to email conversations. Also, RPA claims that it can automate up to 45 percent of the activities inside an organization, including the tasks supposed to be done by financial managers, doctors, and CEOs.  

Edge Computing 

Edge computing is designed to help employees when the cloud-computing shortcoming appears. It can exist ‘on the edge’ closer to where computing needs to function. Because of this, edge computing can be used to process time-sensitive data in remote locations with limited internet connectivity. In such situations, it functions like mini datacenters. 

By 2022, the global edge computing market is expected to reach $6.72 billion. As with any growing market, this will create various jobs, primarily for software engineers.


The involvement of blockchain technology in numerous industries has increased over the past few years. According to Techcrunch, blockchain-related jobs are categorized under the second-fastest growing of jobs in the world. Also, it reports that the average yearly salary of a blockchain developer is $130,000. These statistics indicate how the blockchain stands as the most significant and demandable technology in present, and how it will expand its expertise in the near future.


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