Top 10 Software Development Trends To Add Massive Value To Your Business

#AR / VR
#Big Data & Highload
#Software Development
September 8, 2020 10 min read

An unstoppable digital transformation has already affected hundreds of spheres, from supply chain management, e-commerce, public sector, to fintech, healthcare, and retail. Companies worldwide strive to embrace the latest tech to remain competitive, increase customer loyalty, and accelerate revenue streams.

top10 software development trends

Many organizations are using blockchain smart contracts for seamless and secure cooperation with partners. Other representatives of modern businesses adopt AI-driven solutions to provide clients with human-like and personalized service. All these technologies seemed to be far-reaching goals a decade ago and now are being implemented and used successfully.

Therefore, in this article, we highlight the best software development trends that will certainly grab attention in the next couple of years.

AR and VR

A mix of augmented reality (AR) and virtual reality (VR) may have a dramatic impact on corporate applications. AR allows users to extend the physical world with digital objects, whereas VR enables them to dip into this world and perceive it as a real one.

Tools powered by AR and VR are being used in government, tourism, design, video gaming, construction, healthcare, and other sectors. No wonder, as the technology of mixed reality is growing rapidly. The IndustryARC survey predicts that the mixed reality market will grow from US$1 billion in 2017 to US$10 billion in 2024, with annual growth of 73.2% during the 2018–2023 period.

Here are some cases to apply the AR and VR to bring value to your business:

  • Healthcare providers use 3D modeling to visualize complicated surgical operations for better planning and predicting unforeseen circumstances during the real surgery.
  • AR and VR can be used for training if the job is too challenging to start without probation. For example, pilots learn to fly planes using virtual reality simulators.
  • The use of mixed reality technologies in video gaming will be the most popular use case, with US$20.8 billion projected to be spent in 2023.
  • Retail has also started the AR adoption for providing consumers with the ability for remote showcasing.

invest in vr and ar


Blockchain has been gaining momentum since the success of cryptocurrencies and has extended the realm of its applications far beyond the fintech industry. Thanks to the decentralized nature, advanced visibility and security options, the blockchain or distributed ledger technology (DLT) offers numerous use cases for businesses.

For example, smart contracts powered by DLT allows organizations to run their partnerships in an inviolable and transparent manner. These contracts are speedy, visible, and secure at the same time. They enable all participants to see the changes made and detect violations immediately. This means more trust, brand loyalty, and faster money turnover.

Businesses and governments are keenly exploring blockchain, therefore, its global market is growing rapidly. A new report predicts that blockchain technology will reach US$57 billion in 2025, followed by an exciting 70% CAGR from 2019 up to 2025.

Blockchain can benefit multiple spheres of life, including:

  • Supply chain management can be accelerated and improved thanks to faster transactions underpinned by DLT.
  • Since healthcare is a vulnerable area for cyber attackers, the security of patients’ data is in danger. Blockchain can help to make this immutable and safe. The common term is an immutable blockchain record.
  • Blockchain-based tools can help governments to perform elections with high-level security. Namely, such devices can track and count votes automatically, without human intervention. This minimizes fakes, errors, and rechecking.
  • IoT can gather insights from tons of connected devices but is at risk to lose critical data during collection and transmitting through the internet. DLT can protect this process with its advanced security options.

Low-Code No-Code Movement

The more technologies appear in the era of digitalization, the bigger a skill gap becomes. There are many techs to adopt but there is an urgent need for experts in a certain field. Many organizations cannot overcome barriers on the way of implementations due to the lack of software developers.

To fill the voids in software development, there is a solution known as LCNC (Low-Code No-Code). This is a relatively new tendency among other software development trends. Low Code No Code (LCNC) development refers to a visual environment, where citizen developers (people with low or no coding skills) can drag and drop ready-to-use apps components, combine them, and integrate to create the desired program.

The idea is that everyone can participate in software creation, with minimal or no regard to programming knowledge.

building apps challenges

The survey by Forrester demonstrates in the figure above a significant success of LCNC efforts. Software developers from North America and Europe reported that low-code no-code development helped to overcome many challenges such as high costs, inability to meet deadlines on time, poor quality, and even lack of staff.

Artificial Intelligence (AI)

Artificial intelligence is one of the most popular software development trends. Gartner predicts that in the next year the use of artificial intelligence will bring global business revenue of US$2.9 trillion and more than 6 billion hours of employee effectiveness.

The unique benefit of Artificial Intelligence (AI) is that this computer science aims to teach machines to act like humans. This means that AI trains programs by processing vast amounts of data, enabling them to do the physical workers’ tasks automatically.

While AI has a broad array of applications, R&D continues to look for innovative solutions. If you wonder how AI-driven solutions can help businesses, look at the suggested use cases:

  • Visual images and voice recognition powered by AI can help companies in identity management (IDM). AI robots can monitor the user during their activity in the network, detect erratic actions, and report threats.
  • Being part of AI, machine learning (ML) can aid in predicting what treatment protocols have more chances to work on a patient taking into account various patient data and the treatment context.
  • Chatbots are great assistants, as they imitate human behavior using natural language. This can dramatically improve customer support and streamline sales.
  • Machine learning can fight money laundering by comparing millions of transactions and accurately distinguishing legal and fraudulent payments between buyers and sellers.
  • Corporations like Amazon or Netflix use smart machine learning algorithms to analyze users’ preferences, compare them to the other users, and finally determine what users are likely to purchase or watch next.

Microservice Architecture

Microservice architecture (microservices) is the style to structure an application as a set of services that are: easy manageable and testable, loosely coupled, can be independently deployed, organized according to business capabilities, and can be handled by small teams.

Microservices have seen a huge leap in popularity during the last years, as seen in the chart by Google Trends:


As the businesses keep on shifting towards the cloud, the microservice architecture will be more prevalent. The key reason for the success of microservice architecture is that it suits ideally to cloud-native, a software technology that allows for faster software release pace.

The Internet of Things (IoT)

IoT is a network of physical devices and objects with sensors that transmit collected data over the internet using APIs (application programming interfaces). IoT works thanks to a combined interaction of multiple technologies like Big Data, AI, radio-frequency identification (RFID), and APIs.

Being a buzzword among software development trends, IoT has firmly taken its place. In 2017 the global IoT market was US$235 billion – the figure is going to double by 2021 reaching US$520 billion. IoT has various use cases, and the following are just a few examples:

  • Supply chain management: Using connected devices with sensors across the chain allows employees to track the journey of the goods from manufacturer to retailer. This minimizes situations when products’ quality may be compromised, or allows to change the routes or vehicles in case of unpredicted events.
  • Intelligent tools empowered by IoT can be used to govern smart cities. For example, special devices in public transport can monitor the load with passengers, send reports to government agencies, and then optimize the routing and staffing of vehicles.
  • Advanced security of homes with IoT sensors, cameras, analytics allows residents to be sure their houses are well protected. In the case of home thief intrusion, devices react immediately and send requests to the security service.
  • Autonomous cars are not a dream of the future anymore. They exist thanks to the internet of things. Self-driving cars interact with each other, communicate on the road conditions, and define the optimal route.
  • Wearables are specific devices used by humans to track health conditions. These instruments gather data and then send it to the healthcare provider for analysis. In such a way, patients can get assistance and recommendations without leaving their homes.
  • Modern factories become more automated, thanks to IoT. Boosting the machinery with sensors, factory employees can more accurately evaluate the workloads. Besides, they can timely identify the machine’s wear-and-tear.


Business networks become more and more sophisticated, this is why there is a need to leverage on-premise proficiency in the best way. Therefore, while trying to focus the business on the core competencies, company executives entrust the secondary tasks to third-parties that have expertise there. This trend realization propels the popularity of IT outsourcing.

A recent 2018-2019 survey by IT Spending and Staffing Benchmarks revealed that large organizations spent more on software outsourcing, showing growth from 6.3% to 8.7%, whereas midsize companies also dramatically increased their investments – from 4.7% to 6.5%.

Outsourcing software development allows enterprises to focus on their long-term prospects, reduce operating costs, and provide consumers with a flawless product. Innovecs is a reliable partner if you decide to outsource some of your development tasks or even an entire project.

Progressive Web Apps

PWA is a web application built using specific technologies (Service Worker, https, App Shell, etc.) to achieve specified targets. These targets are defined as follows:

  • Reliable – the application is loaded and displayed immediately, regardless of the status and quality of the network connection.
  • Fast – data exchange over the network is fast, while the UI is smooth and responsive.
  • Engaging – make the users’ experience with the application comfortable and pleasant, encouraging them to leverage it again and again.

The global community keeps on growing their interest in PWAs yearly, as the figure by Google Trends demonstrates.

progressive webapps

PWA enables software developers to combine the opportunities of web and mobile, create cross-platform apps in one language, and save cost. Soon, the companies will realize the value of PWAs, especially the benefit of saving time and money.


Stackoverflow conducted big research showing that Python outranked Java and became the most rapidly growing and primary programming language in 2019. Also, developers from all over the world report Python is their second beloved language to use, after Rust.

Python is used for a myriad of areas and challenges due to a minimal barrier to entry and a supportive community backed by the latest generation of experts.

Big Data

Big data is the future of software development. Analyzing and employing large amounts of information is one of the top business priorities. Big data is an infinite source of valuable information. Companies have to learn how to make the best use of it. The image below shows that those who successfully exploit big data, reap the benefits: faster innovation cycles, higher effectiveness, effective R&D, better products, and services.

data analytics and big data

Besides, the processing of big data can help businesses to measure ROI, implement predictive analytics for user retention and increase the number of customers, efficiently assess risks, improve advertising campaigns, and grow faster than competitors.


While researching key technologies that can positively impact business growth, we’ve summarized here the top ten software development trends. These tools and solutions can dramatically boost the performance, speed up sales, and accelerate return on investments.

AR and VR – For immersive customer experience.
Blockchain – For advanced security and high visibility.
LCNC – For contributing to software development with low or no tech skills.
AI – For replacing manual tasks with robotized programs.
Microservices – For rapid, frequent, and reliable delivery of large, complicated apps.
IoT – For increased visibility, efficiency, and security.
Outsourcing – For cutting operating expenses and delivering a flawless product.
PWAs – For affordable and quality software development.
Python – For engaging a large audience of specialists.
Big Data – For cutting costs, increasing efficiency, and staying competitive.