7 technologies to learn in 2022 - edSlash

“Once a new technology rolls over you if you’re not part of the steamroller, you’re part of the road.”

– Stewart Brand

In 2022, the COVID-19 pandemic will continue to impact our lives in many ways. This means that we will continue to see a high rate of digitalization and virtualization. However, as we move into a new year the sustainability and ever-increasing data volumes will be the drivers of the digital transformation. And in this tech world evolving at such a rapid pace, we need to keep up with the latest technology trends to secure our future. Learning new technologies may help you uplift your skills, build and evolve in the corporate world. One also needs to understand that in the upcoming near future to sustain jobs and earn a living it is very necessary to learn new technologies and expertise your skills with the latest technology trends. 

The past years have given us some new technological goals and sparked a vision for the Research and Development of existing technologies to make us future-ready. The current rate is staggering so it’s easy to get lost in all the tech innovations and trends that keep coming up faster than you can even keep track of. As we know Change is the only Constant, so out of necessity if not desired, we need to keep up with the new technologies.

So if you are confused:

  1. What skills do I need to have to keep up with the world?
  2. What is the future software that we should pay attention to in 2022, to keep our businesses operating at the right pace? 
  3. What are the future technologies?
  4. What are the trending technologies that could help us to make the most bang for the buck?

Here we are to help you to be a part of the steamroller and to make change your constant too, these are the 7 technologies you need to work on:

  1. Python Programming
  2. JavaScript
  3. Java
  4. Data Analytics with R
  5. Blockchain
  6. Data Science and Machine Learning
  7. Cloud Security

1. Python with Data Science

There is absolutely no doubt that Python tops the most popular programming languages. It provides great libraries to deal with Data Science applications. One of the main reasons why Python is widely used in the scientific and research communities is because of its ease of use and simple syntax which makes it easy to adapt for people who do not even have a technical background. Latest technologies such as Machine Learning, Data Science, and Artificial Intelligence are all based on Python which makes it more popular in the current IT industry.

2. Java Script

JavaScript is the language of web developers and assists in providing the ultimate business solution. The language excels at the web page and web server manipulation. The developers define it as “scripting and programming language” that allows you to implement complex things on web pages. JavaScript makes web pages more dynamic and user-friendly so that they respond to visitors’ actions. Or to put it another way, JavaScript makes web pages interactive. It provides multiple frameworks for both front-end and back-end with a major focus on front-end like NodeJs, ReactJs, and AngularJs among many others. Lately, the demand for JavaScript frameworks has been increasing in the market with the advent of newer technologies and increasing digitalization.

3. Java

Java is a language of possibilities. Java is a widely accepted language and has a huge developers community. Though the language is not as forgiving as JavaScript. But has some amazing features like backward compatibility, high security, and great performance. The language might have seen some decline in the previous year due to the increasing popularity of languages like Kotlin but Java still persists to have its great presence. Its frameworks include spring, struts, hibernate among others.

4. Data Analysis with R:

R is a statistical programming language used by mathematicians, statisticians, data scientists, and analysts all over the world. It has regained popularity because of increasing interest in the field of data science. It is open-source, interactive, and easily integrated with C/C++. Comprehensive R Archive Network(CRAN) features more than 12,000 packages that can be installed and used to manage, manipulate and visualize data. It has wide-ranging applications in domains like finance, healthcare, genomics, forecasting, and marketing.

Data Analysis is one of the top 7 technologies to learn and work-on in 2022

5. Blockchain

Blockchain is a system that records information in a way that makes it difficult or impossible to hack or cheat a system. In simple words, Blockchains can be described as data you can add to, not change or subtract. Not being able to change the previous blocks makes it so secure that no one can take control over the data. Several industries are involving and implementing Blockchain, and as the use of Blockchain Technology increases, so does the demand for skilled professionals.

Blockchain Technology is one of the topmost technologies to learn and work-on in 2022

6. Data Science and Machine Learning:

According to the US Bureau of Labour statistics, there is strong growth for Data Science jobs and skills which is predicted to grow about 28% through 2026. The main reason for the sudden growth of data science in the industry is the actionable insights from customer feedback. They can be used by product marketing tools to improve products to fulfil customer requirements and profit the manufacturer as more and more companies are incorporating data science and machine learning techniques to increase their sales.

Data Science and Machine Learning

7. Cloud Security

Cloud computing security ensures regulatory compliance. It is to secure the applications and infrastructure from cyber attacks and cyber threats. With increasing concerns and threats against privacy, this technology is gaining popularity among companies. More companies are now willing to invest in this technology and hence there has been a huge increase in the demand for Cloud Security Professionals who can fulfil the sudden need and requirement.

Cloud Security is one of the top 7 technologies to learn and work-on in 2022


While many new technologies keep on emerging, evolving and disappearing these 7 are not going to fade away anyway soon. And most of these trending technologies are welcoming skilled professionals, meaning the time is right for you to choose one and get on board at the early stages of these trending technologies, positioning you for success now and in the future.

Written by Riddhi Arora, Team edSlash.

Frequently Asked Questions

1. How can learning a trending technology benefit me?

Learning the latest technologies helps you to adapt to the changes taking place at the workplace. It boosts skills and career opportunities.

2. What skills do I need to have to keep up with the world?

Python Programming, Data Analytics, Data Science, Machine Learning, Blockchain, Artificial Intelligence, Cloud Computing & Services, 5G (Fifth Generation Wireless), Quantum Computing, RPA (Robotic Process Automation), VR (Virtual Reality) & AR (Augmented Reality), IoT (Internet of Things) are some of them.

3. What is the future software that we should pay attention to in 2022, to keep our businesses operating at the right pace?

Cyber Security, Internet of Things, Python, JavaScript, Cloud Computing, and Robotics.

4. What are the technologies that could help us to make the most bang for the buck?

Artificial Intelligence (AI) and Machine Learning, Robotic Process Automation (RPA), Edge Computing, Quantum Computing, Virtual Reality and Augmented Reality, Blockchain, Internet of Things (IoT), 5G, etc.