Top 10 IT Skills in High Demand for 2019-2020

Top 10 IT Skills in High Demand for 2019-2020

Top 10 IT Skills in High Demand for 2019-2020

Top 10 IT Skills in High Demand for 2019-2020;It is common knowledge that learning IT skills and mastering them is one of the surest ways of starting a successful career which is rewarding, and financially too! Of the many IT skills being learn and thought, which are the top 10 skills in high demand for 2019 and 2020? This is what this article seeks to answer.

Below are the top 10 IT skill in high demand for 2019 – 2020 and even beyond. This list is based on what is observable in the IT sector and the projects of experts in these fields.

  1. Cloud Computing

Cloud computing is a business structure which is planned in a way where the service providers would be in-charge of providing and managing online storage and software requirements of the client in an environment which is customized. Cloud service and solutions would continue to improve and be demanded for as cloud computing continues to evolve, this is certainly a given. Also crowd-sourced storage, serverless cloud computing would be on the rise with the added functionality of hybrid solutions.

  1. Data Analytics

Data analytics is what the IT sector depends on for its survival currently. As machine learning algorithms become more complex and effective, there are increasing more larger data sets to deal with and get information from which is where data analytics plays a major role.

In recent years, digital technologies and techniques such as big data, data science, machine learning and the likes which are all employed to analyze data that are as complex as they are enormous, and these technologies have continued to increase at a very fast rate.

  1. Machine Learning

Machine Intelligence is a mixture of computer systems with human intelligence and ideas added to it. To better understand what machine language is about and how it is used, think of the face recognition feature which is increasingly being added in many computer systems such as smartphones, laptops and on many other electronic and digital platforms and social media like Facebook (which has the photo-tagging option).

As it was in 2018, the demand for persons who are skilling in machine language would even increase more especially in areas such as healthcare, the finance sector and the online commerce or e-commerce sector.

  1. DevOps

DevOps has started going mainstream and such containers are very significant to help technology for DevOps and it would continue to accelerate in container deployments with increase demand for Deployment Engineers, DevOps Engineers, Automation DevOps Engineers , Portal DevOps Specialists and so much more across many industries.

  1. Artificial Intelligence

About one-fifth of firms would use AI in decision making processes in 2019 and 20120. AI would assist firms and organizations to offer solutions which are tailored to the needs of the customers or clients and provide guidelines to the workers on what they should say and do, and all of these would be instantaneous. Previous generations of text analytics platforms were way too complex and a small proportion of customers could use them successfully to analyze their text data.

As deep learning in artificial intelligence or AI continues to increase and improve, structured data and unstructured data would be successful when analyzed.

  1. Full Stack Development

Full stack web development is the most sort-after developer occupation. In 2017, a survey by stack overflow revealed that 75.2% of full stack developers are open to new job opportunities. In 2019 and 2020, there would many job positions created for full stack web application engineers, full stack software engineers and many other occupations in similar fields.

  1. Blockchain

Accordin to a report by Gartner, the banking sector would earn and generate about $1 billion worth in business from using blockchained-based cryptocurrencies before 2020 draws to a close. Currently, all cryptocurrencies added together are worth $155 billion all over the world and it is projected that the worth of these cryptocurrencies would have even more value and even more than 50% of the blockchain business world over even up to 2023. This would mean increase demands for skilled professionals such as Blockchain developers, blockchain consultants with Blockchain Architects.

  1. IoT

IoT will be what customer value would be dependent on in the future. Artificial intelligence agents such as Alexa or Google Assistant would be increasingly adopted which has given new tools to marketing agents to have insights into the behavior of customers online. The Internet of Things market as it is called is projected to increase from $170.57 billion to $561.04 billion from 2017 to 2022 respectively at a Compound Annual Growth Rate (CAGR) of 26.9% , reported by the Markets and Markets Research and there would be increase in such jobs all over the world.

  1. UI/UX

In 2019 and 2020 especially, UI/UX would go beyond their limits and change conventions previously held about UI/UX to challenge the norm because Augmented Reality (AR) and Virtual Reality (VR) would play crucial parts in UI and UX designing. Currently there are more than 3.2 million job vacancies in this specialty for UI and UX designers, developers, architects, user researchers and UI/UX usability analysts world over.

  1. Big Data

It has been projected that more than 50% of firms will be more open to and opt for public-cloud-first policy for their big data uses and analytics in 2019 to 2020. Furthermore, the experts in the big data and computing sector are even imply that in the nearest future, the question wouldn’t be about if what data to utilize, instead it would be about what data wouldn’t be used and relegated to the background.

In effect, the question would be about the quality of data to be accessed and that is where all the focus would be. Consequently with the focus shifting to big data, there would be an increase in the demand for data engineers. In recent times ( during the period this article was being written), about 13% of all the data-related job advertisements were all targeted at data engineers, while data scientists got about 1% of the data-related job advertisements.

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