Predicting the future of software development is always a tough call.
Why? Because emerging trends and frequent changes in the software development domain have always been expected to satisfy the market’s rising expectations. Such trends will also rule the future of the software development industry. However, there are critical developments to consider and predict in various tech industry segments.
Analyzing these future software development trends will put enthusiasts ahead of the competition. A recent study reveals that about $672 billion will be spent on enterprise software in 2022, and the market shows no signs of going in the opposite direction in the near future. So, finding out and learning the future software development trends will also be a profitable endeavor.
Let’s unveil the future and venture through all the possibilities exposed what the future of software development is.
Table of contents
- Future of Software Development Trends and Predictions for 2022
- Opportunities for Growth in Low-Code Development
- Increasing Growth in Remote Work
- Era of Cloud Computing in the Future of Software Development
- Days of E-Commerce Software
- Advancement in Artificial Intelligence and Machine Learning
- Impact of IoT Solutions in the Future of Software Development
- Blockchain-Based Security in the Future of Software Development
- Wide Use of PWA in the Future of Software Development
- Need for Implementation of Cybersecurity
- Application of Deep Learning Libraries
- Prevalent Use of Multi-Model and Multi-Purpose Databases
- API Technology in the Mainstream
- Wrapping Up about the Future of Software Development
- FAQs of the Future of Software Development
Future of Software Development Trends and Predictions for 2022
The software development scene will soon change at a rapid pace. However, some sectors in the industry might see more impact than others, and we have found them.
Opportunities for Growth in Low-Code Development
Low-code development is a visual approach to software development that accelerates delivery by optimizing the whole development process. It enables developers to automate and abstract each stage of the software lifecycle and streamline the development of a wide range of solutions.
Low-code solutions come with certain perks, such as making the entire process of software development fast and easy. Additionally, the process has become more popular as the demand for expert software professionals outpaces supply.
Low-code development, however, might not last in the future, as the applications developed with the process are not powerful and lack adaptability for upgrades.
Increasing Growth in Remote Work
Over the past several years, outsourcing has increased rapidly in popularity, and this trend is predicted to continue. From a commercial standpoint, the advantages of outsourcing certain duties to specialized companies—rather than distributing them among existing team members—are countable.
The primary reason outsourcing has become popular is businesses lack the resources to cope with current changes. Businesses outsourcing software development jobs to specialists ensure they receive the finest outcomes possible within a specifically defined timeframe.
While you can reduce cost by handling software jobs internally, outsourcing allows developers to concentrate on more complex and time-consuming tasks and on attaining the project’s bigger aims or objectives.
An outsourced team is often more expert in designing, coding, and managing products. For example, ClickIT provides a team of competitive professionals who deliver quality work regarding software development, with the opportunity to work with different languages and frameworks.
Era of Cloud Computing in the Future of Software Development
For most organizations, switching to cloud-based services is not an option; it is essentially required. Though cloud computing has been in the game for a while now, it is increasingly establishing itself as the most prominent hosting alternative for enterprises across a variety of industries.
Companies like Facebook, eBay, and Fitbit have already completely embraced cloud computing, inspiring other businesses to do the same. Among the many advantages of cloud computing are considerable cost savings, greater security, simplicity of use, enhanced flexibility, easy maintenance, and the ability to work seamlessly. Additionally, many cloud-based services provide cloud analytics and tools for people who need an efficient working environment.
If you are looking to create a Cloud Native Architecture, watch our video What is a Cloud Native Architecture and how to adopt it?
Days of E-Commerce Software
E-commerce is a dynamic business always evolving with technology, trends, and a competitive climate. The world has already experienced a significant push by e-commerce software. It’s not surprising that the recent pandemic altered the course of this sector significantly, with beneficial and negative effects for the involved enterprises.
During the shutdown period, consumer behavior shifted significantly, encouraging firms to engage on e-commerce platforms and online marketing. Thus, these platforms have enhanced customer experience. According to Shopify, over 150 million customers made their first online purchase in 2020.
In Canada, France, Australia, the United Kingdom, and several other nations, the number of online shoppers surged rapidly. Up to 6% of buyers from these countries made their first online purchase in 2020, and it continues growing.
Advancement in Artificial Intelligence and Machine Learning
AI is upending the conventional software development process by enabling more efficient processes that boost productivity and shorten time to market. That is why the usage of AI is growing at a breakneck pace throughout the IT sector.
According to the market research company, Tractica, income generated by the deployment of AI technologies is predicted to reach $126 billion globally by 2025. Artificial intelligence technologies assist developers in increasing their efficiency throughout the software development cycle. Numerous businesses and developers are embracing and utilizing these technologies, as they see their benefits, being a future trend of software development
AI and machine learning are critical for mentoring and assisting new and inexperienced engineers in analyzing and fixing faults in their applications. These technologies enable cloud-based integrated development environments (IDEs), intelligent coding platforms, and the ease of deployment control.
Impact of IoT Solutions in the Future of Software Development
The Internet of Things brought a slew of unexpected but remarkable opportunities in our daily lives and businesses. The Internet of Things has changed the time in which interactions occur. Both hardware and software developments have occurred. Numerous organizations depend on the success of high-quality software programs.
With accelerating digitization, an increasing number of businesses are embracing IoT-based solutions. For example, security is a significant worry that IoT helps address. If an unauthorized person or group breaches a business’s security and gains access to its data and control, the resulting repercussions may be rather severe.
Through the use of various IoT technologies, aspects such as security, integration, and scalability may be created, developed, and implemented. So, IoT-based solutions will rule the world with their competitive advantages in various types of operations.
Blockchain-Based Security in the Future of Software Development
Blockchain technology creates an intrinsically secure data structure. It is built on cryptographic, decentralized, and consensual concepts that assure transactional confidence. The data in most blockchains or distributed ledger systems are organized into blocks, each comprising a transaction or collection of transactions.
Each new block in a cryptographic chain is connected to all previous blocks so that it is virtually hard to tamper with. The more procedures rely on technology, the greater the danger of exploitation. Thus, as the number of software solutions increases, the need for robust security increases as well.
Wide Use of PWA in the Future of Software Development
PWA is an acronym for Progressive Web Applications. This is an app made using web tools that we are all familiar with and enjoy, such as HTML, CSS, and JS but with the feel and functionality of a native application.
So, users get easy access to their web pages. This implies that you can create a PWA rather rapidly than developing native software. Additionally, you may provide all of the functionality found in native applications, such as push notifications and offline support. It is undoubtedly one of the most cost-effective approaches for creating mobile apps that work on various platforms.
Need for Implementation of Cybersecurity
Cybersecurity continues to be a significant responsibility for businesses that must safeguard sensitive data to protect their projects from cybercriminal attacks. Traditional security measures are becoming obsolete over time.
Financial organizations, in particular, have to be able to reassure their clients that their data is safe behind an impenetrable digital lock, which is why the cybersecurity business continues to be a hot development topic.
Cyber assaults are growing cleverer and more imaginative, which implies that security should be beefed up to protect enterprises from them. Cybersecurity will almost certainly play a significant role in the future of software development and engineering.
Application of Deep Learning Libraries
Due to the impact of deep learning in data mining and pattern identification, industry practitioners and academics have been increasingly integrating deep learning into SE problems in recent years, being software development trend.
Deep learning enables SE participants to extract required data from natural language text, produce source code, and anticipate software flaws, among other things. Here are two prominent frameworks used to implement deep learning in software development.
- Google’s TensorFlow. TensorFlow 2.0 included a dynamic graph, Python compatibility, and other modifications. Additionally, it includes TensorFlow.js, which enables browser-based usage of the AI framework. TensorFlow’s other breakthrough is TensorFlow Lite, which enables the deployment of TensorFlow on mobile and web platforms. Additionally, TensorFlow announced TensorFlow Extended. It is a platform for deploying machine learning pipelines in SE.
- Facebook’s PyTorch. PyTorch is another widely used AI package that made Dynamic Graph and Python first-class citizens. It is more developer-friendly and offers PyTorch Mobile, which enables users to utilize PyTorch on Android/iOS smartphones. It provides increased developer friendliness when used with PyTorch Profiler to debug AI models.
Prevalent Use of Multi-Model and Multi-Purpose Databases
A multi-model database is a database management system that enables the organization of many NoSQL data models using a single backend. A unified query language and API is offered that supports all NoSQL models and allows for their combination in a single query.
Multi-model databases effectively prevent fragmentation by providing a uniform backend that supports a diverse range of goods and applications. Multi-model databases may be built using polyglot persistence.
One disadvantage of this method is that many databases are often required for a single application. There is a growing trend toward databases offering many models and supporting several use cases.
These databases are forerunners of Azure CosmosDB, PostgreSQL, and SingleStore. Additionally, in 2022, we should see other databases that support several models and purposes.
API Technology in the Mainstream
For decades, the application programming interface (API) has been a critical component of software development developed for a particular platform, like Microsoft Windows.
Recent platform providers, ranging from Salesforce to Facebook and Google, have introduced developer-friendly APIs, creating a developer reliance on these platforms. Here are the three most popular API technologies that will rule the future world.
- REST. REST is the earliest of these technologies, having been created around 2000. Client-server communication is accomplished using the World Wide Web and HTTP technologies. It is the most established and commonly utilized.
- gRPC. gRPC was developed by Google as a server-to-server data transfer API based on the legacy Remote Procedure Call technology. Each request is organized like a function call in this case. Unlike REST, which communicates using a textual format, gRPC communicates using a protocol buffer-based binary format. Consequently, gRPC is more efficient and speedier than REST when it comes to service-to-service data transfer.
- GraphQL. If the data structure is complicated, the Web client-to-server connection will include several round trips. To address this problem, Facebook created the GraphQL API. Each client may describe the form of the data structure for a particular use case and get all the data in a single trip using GraphQL.
Wrapping Up about the Future of Software Development
Software development is considered a fascinating and lucrative business. It has been indispensable in the development of billion-dollar brands. The possibilities projected by cloud computing, AI, and all other aspects of the future software development trends.
However, writing software is not without its difficulties. In the previous 40 years, major advancements have occurred in hardware, software, and technology that underpin these two dualities. Entrepreneurs and businesses who were inventive and stayed current with trends flourished, whereas those that were complacent fell behind and were forgotten.
Understanding the condition of software development today and what is the future of software development might be the difference between success and failure for your business. It enables you to adopt processes, strategies, financing, and other changes that will increase earnings, industry leadership, and, eventually, commercial success. As there is already a lack in the availability of software developing talents, companies are searching for developers online. ClickIT has developed an outstanding team to provide DevOps, AWS, and cloud development services.
FAQs of the Future of Software Development
According to the US Bureau of Labor Statistics, software engineers are predicted to increase at a pace of 24% between 2016 and 2026, far faster than any other profession in the nation.
The answer is probably yes: average software engineering wages will decline. That is not always negative news. This will occur as a result of software engineering’s continued growth as an industry.
AI and ML are two terms that refer to the same thing. Automation of Robotic Processes (RPA) is computing at the perimeter and at the quantum level, These technologies enable cloud-based integrated development environments (IDEs), intelligent coding platforms, and the ease of deployment control.
Cybersecurity is almost certainly an essential role in the future of software engineering since Financial organizations have to comfort their clients about their data, assuring them that it is safe.
Cloud computing is also the most prominent hosting alternative for enterprises across various industries providing an efficient working environment.
Software engineering is one of the most in-demand and lucrative professions worldwide in the modern era. According to many standard estimates, demand and employment prospects for software engineers are expected to increase by 20% to 25% in the future.