28.09.2021

Top 10 future trends in software engineering

Is AI about to take software engineers’ jobs? Not just yet, anyway. But it’s definitely about to change the future of software engineering roles.

 

Software programming used to be something only tech companies worried about. Now it’s everyone’s business. Every sector requires software, and the IT sector is growing exponentially worldwide. 62% of Europeans believe the speed of digital transformation will increase significantly in the next few years, according to Statista.

 

Despite concerns that AI will render software engineers obsolete, the need for human ingenuity is actually likely to grow as AI takes over the grunt work. Developers for AI itself, voice recognition, blockchain, and augmenting technology will be particularly in demand. And more operations are likely to be mobile-based, providing opportunities for app developers.

 

Software Engineering Roles Across Industries

 

Health Tech: Software engineering is revolutionising the way we gather and process health data, opening up new opportunities for diagnosis and disease prevention.

eLearning: It’s become the new normal to order education materials online, and the eLearning market is set to hit 370 billion U.S. dollars, up from 101 billion U.S. dollars in 2019, according to Statista.

eCommerce: Now the hottest field to employ software engineers, eCommerce is expected to double by 2023 to 6.3 trillion U.S. dollars

FinTech: Online payment and alternative finance are pushing a rise in demand for financial management solutions. 66.7% of bank executives are already working with fintech and big tech companies to provide new services.

R&D: Appetite for innovative tech solutions will continue to grow, with AI and machine learning at the forefront.

 

Top 10 Future Trends

 

1. Cloud-based computing is likely to grow, seeing a similar trend toward cheaper and more efficient technology, similar to computer hardware in the last few decades.

 

2. Some companies are setting up their software development processes in such a way that non-coders can be part of the team and contribute to solving problems.

 

3. Machine learning is going to go from its "Wright Brothers at Kitty Hawk" phase to its "WWI fighter assembly" phase. In other words, vast numbers of jobs will open up in the areas where it looks promising, tasked with rolling out and troubleshooting new advances.

 

4. AR and VR will change not just technical industries like manufacturing and medicine but e-commerce too, letting companies create virtual fitting rooms and other ways to test drive products before you buy.

 

5. New programming languages will rise to prominence because of their suitability for machine learning applications and other new types of software. Right now Python is leading the pack on this but there are newer languages being introduced that are more flexible and adapt better to contemporary needs.

 

6. We’ll see more roles involving continuous integration and continuous deployment, which respectively let teams of engineers integrate their code in real time and streamline the testing and configuration process to remove possibilities of human error from new software releases as much as possible.

 

7. IoT applications will continue to grow, putting programmers to work developing sensors, devices, and other things that are as much hardware as software.

 

8. Big Data analysis tools will be more in demand as companies seek to make more use of consumers' digital footprints.

 

9. There will be more applications for blockchain-based security tech in spheres like logistics, real estate, and crowdfunding.

 

10. With all these things becoming a bigger part of people's lives, cybersecurity will be a bigger and bigger priority, since anything that's software-driven can hypothetically be hacked.

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