Top 10 Tech Skills In Demand in 2021

Navigating in a rapidly evolving world like ours is today requires one to be well aware of the top tech trends and skills that are driving the transformation in 2021 and creating the future. 

Doing this is extremely important although not easy. So, we’ve decided to do a thorough market analysis and compile our own list of the top ten tech skills in demand right now – for you to stay armed and informed in 2021. 

Time is money, so without taking any more of your time, here’s a brief overview of the 10 most relevant tech vectors to watch, learn, and invest in this year, according to MintyMint: 

*Listed in a free order 

AI & Machine Learning 

One of the main tech trends dominating modern history is automation, which is permeating every sphere of our lives. And algorithms play a key role in stepping it up even more and taking digitization to the next level. 

From healthcare and transportation to commerce, management, and leisure – digital intelligence is changing the world we live in. Robots are taking on more and more workloads. Self-driving cars are out in the streets, and virtual assistants are becoming increasingly human-like. Such a transformation requires a ton of AI/ML experts, making it this year’s #1 emerging job, according to LinkedIn’s annual report.  

As for the key skills in the arsenal of AI/ML specialists, we’re talking about a mixture of TensorFlow, Python, Java, R, and Natural Language Processing. 

Data Science

Data science is closely related and often an integral part of AI/ML tech. That said, the field is rather independent and big enough to give it a separate place on our list.  

In this regard, last year has shown how big data can affect global processes and help the international community respond to the challenges of the modern world by providing effective solutions. 

At that, businesses remain the main consumers of data science services. The demand for data specialists in the corporate sector has grown by almost a third since 2018, according to  

And given that next-gen tech relies heavily on effective data collection, processing, and analysis – it’s clear that data science in all forms is a crucial part of technological progress. 

Speaking of which…


Effective data collection and implementation of digital intelligence technologies require leveraging a mesh of connected smart devices woven into our daily activities on many levels. 

In this regard, the Internet of Things remains a highly relevant topic when it comes to technology and its development. 

At that, the focus of IoT development is shifting from nice-to-haves towards a more utilitarian range of application across essential spheres of human activity. We see increased integration of smart warehouses and automated tracking & shipping in transportation. Remote monitoring and care, wearables, and contact-tracing solutions are changing the game in the healthcare sector. And various production industries are adopting more and more smart factory equipment and machinery on site.   

As for raw numbers, the world’s IoT market is expected to surpass a $520 billion mark by the end of 2021, with an estimated 27 billion connected devices mesh – about 3.5 devices per person globally, according to a Cisco’s paper

Cloud computing

Naturally, all of the complex calculations associated with the above-mentioned processes require immense computing power to be processed. This brings us to another one of the top tech skills in 2021 – cloud computing.

Revolutionizing computer resource usage, cloud tech is gaining huge momentum due to the sheer convenience and unmatched performance it offers. 

Speaking about which, we have to mention AWS, Microsoft Azure, and Google Cloud Platform. The three largest cloud service providers on the market today, and yet another major force of the tech progress in 2021.

Just to give you some perspective, over 90% of all public companies in the world are using virtual tech, with 94% of all workloads being performed in the cloud this year, according to a HostingTribunal’s assessment.    

You do the math…


Now, operating that much of (often sensible) data in a place without physical barriers requires a decent level of security to protect the service consumers. The more information is stored and accessed online, the more vulnerable it becomes to all sorts of tampering and fraud. 

I this regard, after slightly shrinking in 2019/2020, global cybersecurity spendings have bounced back during the pandemic. And the market is not looking to slow down in the nearest future, according to’s conclusions

Therefore, it is safe to conclude that cybersecurity specialists are going to be in high demand throughout 2021. 

As for the top cybersecurity sub-niches, we’re seeing areas like authentication, cloud data protection, and application monitoring gain extra attention.    


Speaking about secure digital structures…

While closely tied to safety online, Blockchain deserves a place of its own in the chart. That is, of course, because of the cryptocurrency boom that is happening right now. 

Although blockchain is not young, we can watch an actual crypto-revolution unfold right in front of our eyes. Like that, some of the leading international tech giants are beginning to invest in the technology, skyrocketing its value. 

With the price of Bitcoin soaring to quite shocking figures, the news about more and more businesses opening their doors to crypto operations leaves no doubt that blockchain experts will dominate the tech market’s talent demand in the nearest future.   

Mobile Development

On the consumer’s level, all of the above only makes sense when integrated with the one digital platform dominating user time and attention – mobile devices. 

With annual mobile app downloads estimated to reach $258 billion by 2022 (almost 50% growth in a 5-year time), the demand for mobile developers is one of the highest across the entire IT development spectrum, according to StackOverflow.  

Moreso, given the 5+ billion pool of unique smartphone users globally – mobile development will remain relevant in the foreseeable future. 

As for the niche technologies, cross-platform development tools (like React Native) are harnessing the highest $ per line of code. 


Looking at future tech and innovation, we must notice AR/VR as an essential means of bringing about the new realm. 

Last year’s health crisis has been a major outer force pushing tech transformation along the “all-remote” paradigm. This resulted in a genuine AR boom as its global market size exceeded $15 billion, according to data

Covid-related limitations have made consumer-centric industries look for virtual opportunities in communication, leisure, shopping, traveling, etc. – revising the traditional ways of conducting daily activities. 

That said, we’re seeing many less casual VR initiatives in the healthcare sector. Here, using augmented reality has already shown great results in staff training, surgery, general treatment, pediatrics, and many more niches. 


Optimizing the development processes ensures successful implementation of nearly all of the other technologies on the list. Therefore, DevOps is going to continue to be highly relevant in 2021.  

In this regard, there is increased attention towards Infrastructure Automation, Application Release Orchestration, Application Performance Monitoring, and Cloud Management Platforms, along with a major focus on agility and adaptation to irregular objectives.   


Last but not least on our chart, is today’s most in-demand coding language on the market – Python. 

The official AI/ML software backbone and probably the best choice for any data-related applications, it is definitely an essential skill to have in the arsenal in 2021.   

Now, it is true that JavaScript is almost as popular a coding language as Python, and is worth mentioning too. Nevertheless, the ratio of Python-based projects to the amount of talent available makes it a definite leader in the niche. 

There you have it – the 10 top tech skills in demand in 2021, according to MintyMint. 

Hope you enjoyed the article. Feel free to contact our team for any questions regarding software development or current tech trends. And most importantly – stay tuned in for new updates!  

AI, Big Data, IoT: The Future Tech Used Today

Doesn’t it seem like science fiction writers lay out the path to our future?

Even in one’s twenties, it is astonishing to look around and see all the things you’ve read about in books as a kid – gradually take shape and compose the new realm. Literally everywhere, sci-fi movies are becoming less and less fictional. Now, what can be more futuristic (except for space tourism, perhaps) than a mesh of digitalized intelligence covering every level of our daily life? 

Believe it or not, this is exactly what technologies of the future like AI, Big Data, and IoT are facilitating already today. Essentially, all three are sides of the same pyramid, the tip of which is a “smart environment” (a.k.a. pervasive computing).

Here’s how it works: 

In a smart environment, objects of everyday interaction contain sensors and computers which compose a fine network of smart devices. That’s the Internet of Things. Now, all of these devices generate a gazillion bytes of information (read on for a more accurate figure) that has to be gathered for smooth operation and maintenance. That’s Big Data. Finally, processing and effectively implementing all of this data requires super-human intelligence powered by next-gen computing capabilities. You guessed it right – that’s Artificial Intelligence (potentially run on quantum computers, for performance reasons, you know). 

These are the bases of a smart environment. And if it sounds one bit fantasy-like, here’s a reality check for you.

The state of technology

Remember all those movies where the protagonist has information popping on the eyeglasses and his physical condition constantly assessed? This doesn’t even sound futuristic anymore.

These days a fitness bracelet will not only track mileage but also measure your heart rate and blood pressure. It will then alert you or medical personnel should an emergency or worsening medical condition be detected. Self-driving cars avoiding traffic jams and accidents? That’s kids’ stuff! How about facial recognition surveillance systems appraised for helping fight the pandemic in Asia?

Mind you, all that’s mainstream. Now think of what they’ve got for us in the labs. Personally, I am looking forward to some “5th Element/Minority Report/Black Mirror/Brave New World” type of innovations… The tech part of it, of course.

Ok, let’s get back to the topic.

While AI, Big Data, and IoT aim at improving our lives in the bigger scheme of things, the change doesn’t come overnight. Before all of those fun and grandiose things are fulfilled, a much more prosaic path awaits the revolutionary technologies. Traditionally, big business is among the first industries to adopt a new approach for its own benefit. 

Btw, here are some numbers for a clearer picture of future-tech trio adoption over time:

AI Big Data IoT development chart

*According to Verified Market Research, Datanami, Gartner,, Securitytoday

As you can see from the graphic above, the combined trend of AI Big Data & IoT is huge, to say the least. Once again, the main idea behind these technologies is for artificial intelligence algorithms to analyze the data collected from the myriads of devices hooked up to the internet. Therefore, it makes no sense to separate the three when looking at how they affect modern business processes. So, it is thoughtful to use the term “future tech” – for convenience, clarity, and simplicity. 

AI Big Data IoT application

As already mentioned, commercial enterprises are the first to include robotic automation in their strategic arsenal. At that, there are two main areas where high intelligence technologies can be used to resolve the issues companies often struggle with or want to improve. The first one refers to the internal company processes, like Operation & Management, Recruiting, Security. The second one covers customer-related issues that include User Experience, Support, and Acquisition. 

Actually, this goes in line with one of our previous articles about the automation of business processes. In this regard, future tech is essentially the next step in the same direction. So, you may find it useful to check that material first.  

Anyways, let’s look into each of the application areas mentioned separately.

Operation & Management

The first and foremost place of application for future tech is of course everyday operation and management. Not only people management – but the management of goods just as well. 

Let’s say you run an online shop with thousands of offerings on your website. In this case, your most popular products may often go out of stock due to high demand. These things are just hard to predict. A common issue, it often makes customers shop somewhere else and turn to your competitors. Do you need another hole in the budget? Probably no. In this case, an AI solution analyzing customer behavior and comparing it to the IoT-supplied inventory information may easily predict a shortage and alert you early enough to restock the item. Simple, and highly efficient.

Another example of robotics utilized at the forefront of commerce is drone delivery. Already tested by companies like Amazon and Dominos, this revolutionary approach to goods distribution takes a ton of pressure away from the logistic departments.

Furthermore, AI-based task scheduling tools like can help executives fine-tune the daily management process, save time, and effectively distribute resources. 

If you are not tired of statistics, bear in mind that experts estimate ¾ of all enterprise apps to use AI by 2021, and over ⅓ of data analysis in marketing organizations to be executed by intelligent algorithms integrated within various marketing software by 2022. 


Talent acquisition is another important yet burdensome task on the shoulders of your company’s employees. However, this one, too, can be simplified using future tech. 

Modern AI solutions (like Fetcher, Hiretual, Textio) can help recruitment teams compose resonating job descriptions, profile potential candidates, and choose the ones that best suit your needs.  

Wonder what do the niche experts say? 

96% of responders said they believe using AI can greatly improve their talent acquisition work. Of them, between 17% and 41% claim not using it has lead to poor candidate experience, higher costs, and lower overall efficiency. 

AI Big Data IoT influence on recruitment activities


Cybersecurity is another crucial business aspect enterprises can improve via advanced intelligence algorithms. While it sounds like a strictly IT-related issue, it is not so. Every company that stores or processes clients’ data, deals with online payments, owns sensitive information, or controls essential public or private facilities – should rank cybersecurity high on the list of their priorities. 

How can AI help in this and beat the risks? 

To access secured digital locations, hackers often use “inventive” pathways and program loopholes through which they can penetrate a lesser-secured frontier (like an employee’s account or a client’s computer) to breach the security border and enter the system. Furthermore, these days hackers themselves can use machine learning algorithms for malicious purposes.   

Countering this, AI-based cybersecurity solutions take the knowledge and expertise of seasoned security experts and reinforce it with the computing power of ML algorithms. This allows analyzing and intercepting potential stealthy attacks with high precision. Like that, Symantec‘s AI cybersecurity software detected a chain of Dragonfly 2.0 hacker attacks targeting multiple energy companies in attempts to gain control of the companies’ operational networks last year

Speaking of which, some of the popular AI-powered cybersecurity tools include Sophos’ Intercept X tool, Darktrace Antigena, IBM’s QRadar Advisor, and Vectra’s Cognito.

User Experience, Support, and Acquisition 

Last but not least – user experience. The statistic shows that automated customer service agents receive the greatest share of funding among all commercial AI use cases (see the chart below). This alone is a valuable indicator of the importance and power of the trend. Chatbots have been a hot topic of discussion for quite a few years and it seems to remain so in the years to come. 

Actually, it should not be surprising. Customer service is among the strongest selling points for businesses in any industry. Having a good support team could nail it before. Nowadays, though, it is simply inefficient, if even possible, to maintain enough specialists to comb through the massive flow of user issues that are coming in at a typical enterprise. Especially so when it comes to big retail and services businesses processing tens of thousands of requests every day. 

AI chatbots, on the other hand, are scalable, efficient, and lately – even better at helping clients than real people. Actually, some two-thirds of responded web users prefer to deal with a chatbot vs talking to a human when communicating with a business, according to G2 Crowd. Moreso, about 85% of all customer interactions are already taken care of by intelligent algorithms.

That’s it regarding the future tech hands-on application. 

AI investments distribution

As for the share of funding different AI implementations receive, here’s how the picture looked like in the past year:

AI Big Data IoT investment distribution

*According to IDC

When will the future arrive?

Of course, the smart environment future we all anticipate is coming in one batch at a time and is far more vivid at the frontiers of technologically developed spheres of life. But hey, businesses have always been the early adapts of innovation, and it is great to see the enterprise world incorporate and fuel the progress of intelligent tech. Sooner or later it will enter our everyday lives, just like the internet and microchips did. So, let’s not rush it and enjoy the show!

Need a touch of innovation to improve your own business processes? You know which door to knock on – MintyMint is always open to cooperation. 

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