Top in demand skills in 2022, and where to learn them

Editorial Team

Companies around the world are in a never ending search for candidates who have the most sought after abilities. One thing we have learned from the last two years is that the job market is constantly changing and tech driven careers are becoming more in demand than ever before. 

Digital and AI-powered technologies are transforming the world of work, pushing the workforce towards the need to learn new in-demand skills and adapt to future jobs. According to the World Economic Forum’s Future of Jobs Report, 50% of all employees will need to reskill by 2025 as the adoption of technology increases. Let it sit just a little: a HALF of all the employees will need to gain entirely new in-demand skills and competencies to keep up with the digital transformation and stay employable.

  • We have created a list of the most in-demand skills in the 2022 job market.
  • We used data from 660+ million professionals in the network and 20+ million job listings on LinkedIn to determine the skills in high demand relative to their supply.
  • You’ll find the 10 skills listed below, as well as what you can do to upskill yourself.

Cloud Computing

As the cloud has come to become the standard of data management and storage, there has been a sharp increase in the demand for cloud engineers, especially since the pandemic, wherein companies of all sizes wanted to enable more remote and distributed workforces.

Some key cloud computing career paths:

  1. Cloud Architect
  2. Cloud Security Analyst 
  3. Cloud Automation Engineer 
  4. Cloud Administrator

Sources where you can upskill:

  1. LinkedIn Learning’s Learn Cloud Computing: Core Concepts
  2. Udemy’s Distributed Systems and Cloud Computing with Java
  3. Coursera’s Cloud Computing Specialization

Business Analytics

Business analysts have become an important part of all organizations as businesses rapidly move to increase efficiency and reduce structural costs. Business analysts are involved in every part of a project in a business.

Some key analytics career paths:

  1. Business Analyst
  2. Data Scientist
  3. Information Security Analyst
  4. Project Manager

Sources where you can upskill: 

  1. Coursera’s IBM Data Analyst Professional Certificate
  2. LinkedIn Learning’s Become a Business Analytics Expert
  3. Georgia Tech’s Data Analytics for Business on edX

UI/UX design

Across all industries, there is a need for UI/UX specialists, and this demand keeps increasing. Within UI and UX comes the sweet spot of the blend between creativity and logic, that a large base of people can tap into.

Some key UI/UX career paths:

  1. UI/UX Developer
  2. User Experience Designer
  3. Product Manager

Sources where you can upskill: 

  1. Coursera’s Google UX Design Professional Certification
  2. LinkedIn Learning’s course on User Experience for Web Design
  3. LinkedIn Learning’s course on Learning Design Thinking
  4. Udemy’s comprehensive course on UI/UX, Figma, and other web and mobile design tools

Blockchain

According to a report, blockchain development skills have gained extensive demand since 2020. Despite being fairly new, it has become a multi-billion dollar industry. The expenditure on blockchain is estimated to reach $19 billion by 2024.

Some key blockchain career paths:

  1. Blockchain Developer
  2. Blockchain Solution Architect
  3. Project Manager
  4. Blockchain UX Designer

Sources where you can upskill: 

  1. edX’s Developing Blockchain-Based Identity Applications
  2. Udemy’s Blockchain A-Z: Learn How To Build Your First Blockchain

Machine Learning

As the access to machine learning increases, so does the demand for machine learning engineers. Records show that machine learning has seen a 344% rate of growth in the last few years, which is only projected to grow further in the coming years.

Some key machine learning career paths:

  1. Data Engineer
  2. NLP Scientist 
  3. Machine Learning Engineer
  4. Machine Learning Cloud Architect

Sources where you can upskill: 

  1. Stanford’s Machine Learning course on Coursera
  2. LinkedIn Learning’s Machine Learning with Python: Foundations
  3. Udemy’s Machine Learning A-Z: Hands-On Python and R in Data Science

Video Marketing

One might think that search engines like yahoo, bing, etc. are Google’s immediate rivals. But they are not even the close ones.  As it turns out, YouTube, with over 2 billion logged-in users per month—according to Search Engine Journal, is the world’s second-largest search engine.

Video is predicted to be the major source of viewed web content by 2024, amassing 85% of all web-related traffic, coupled with the fact that 86% of businesses use video as a marketing tool.

Some video marketing career paths: 

  1. Content Creator
  2. Video Producer
  3. Video Editor
  4. Social Media Marketing Specialist

Sources where you can upskill:  

  1. A video marketing course by Hubspot
  2. Video Marketing Primer by Udemy

Affiliate Marketing

Affiliate marketing is a way to drive sales and build brand awareness in a way that benefits both the brands and the affiliate marketers. It is a new push towards less traditional marketing. It follows a simple process – Affiliate shares a product link on their website or social media -> Customer clicks on it -> Conversions is tracked -> Affiliate is paid commission.

In this new era of marketing, when everything has moved digital, brands are on a never ending search for individuals who can generate significant online revenue.

Some Affiliate Marketing career paths: 

  1. Affiliate Marketing Manager
  2. Merchandising Manager
  3. Category Marketing Manager

Sources where you can upskill:  

  1. Affiliate Marketing Foundations, available on Udemy
  2. Improve SEO for your E-Commerce Site, available on LinkedIn Learning

Artificial Intelligence

From robots serving food in restaurants to self-driving cars, AI has been taking over our daily tasks everyday. A Gartner study suggests that AI will create 2.8 million jobs by 2024. If you are evaluating career options in this field below are some of the artificial intelligence skills that you need to have:

  1. AI Engineer
  2. Neural Network Architect
  3. Big Data Engineer/Architect
  4. Business Intelligence (BI) Developer

Sources where you can upskill:  

  1. Artificial Intelligence Foundations: Thinking Machines, available on LinkedIn Learning
  2. Artificial Intelligence A-Z: Learn How To Build An AI, available on Udemy

Data Analytics

Research suggests that Data literacy is the most wanted skill that the employers want in a workforce by 2030. Executives say that in the coming years, they are willing to pay 35% more for candidates with data literacy skills. Data literacy will be just as important as using a computer today. Some of the key Data literacy skills include:

  1. Financial Analyst
  2. Data Scientist
  3. Marketing Analytics Manager
  4. Data Analytics Consultant 

Sources where you can upskill:  

Data Science Foundations: Python Scientific Stack, available on LinkedIn Learning

A study suggests that 85% of the jobs in 2030, still don’t exist. 

Factors such as the widespread shift to remote working, the emergence of the gig economy, and employees’ increasing expectations of flexibility in their relationship with their employers will also play their part.

Adding seismic shifts such as the great resignation into the mix means companies are frantically searching for new strategies when it comes to hiring and retaining talent. Meanwhile, individuals are finding themselves increasingly confused about what is expected of them and what types of skills and experience will be valued in their own search for secure and meaningful careers.

Happy to Help