- Top software development trends for 2025.
- Quantum computing is a new concept.
- Edge computing reduces the latency of the processes.
- The Internet of Things (IoT) is an evergreen wave.
- Cloud-native development is the new normal.
- Yes, blockchain has applications in software development.
- AI and ML are unstoppable.
- Generative AI is everywhere.
- Low code/no code development
- AR and VR technologies
- Conclusion
The software development market has always flourished. As the need for better solutions has increased, the market for software development has also surged. Thanks to the innovative trends and software engineering best practices, the custom software development market is expected to grow at a CAGR of 22.5%. The market size stood at $35.4 billion in 2023.
Keeping these numbers, rising competition, and time constraints in mind, businesses across the world are focusing on developing software based on trending technologies like generative AI, quantum computing, etc. Why?
Well, these technologies are here to stay for long and have utility in almost every industry sector. Not just these, but there are several other trends and technologies that have the power to transform software development for the better. If you are a business planning to make it big in 2025, check out these software engineering trends.
Top Software Development Trends for 2025!
From generative AI technology to low-code/no-code development, software development has come a long way. Right now, there are several trends that can revolutionize the way software development is done.
Quantum computing is a new concept yet!
Quantum computing is a relatively new concept that is not actively used in software development. However, it has potential. For example, quantum computing can be super useful in cryptography and security applications. The qubit technology can easily break the traditional encryption algorithms, enabling the development of quantum-resistant cryptographic techniques.
Furthermore, quantum computing can be a boon for machine learning and data analysis software. The technology can seamlessly and significantly boost the speed of tasks, such as clustering, pattern recognition, and classification.
Edge Computing reduces the latency of processes.
Edge computing is a technology that aims to improve the data processing speed, latency, and response time of the systems. For example, edge computing brings data storage and analysis systems near their sources.
There are several applications of edge computing, such as remote asset monitoring, autonomous cars, cloud gaming, in-hospital patient monitoring, etc. The dedicated software for all these applications can garner a lot of revenue for your business, making it a demanding trend. Mercedes Drive Pilot system uses edge computing to find out if the driver is in the seat or not to activate precautionary systems.
The Internet of Things (IoT) is an evergreen wave.
The usage of the Internet of Things or IoT technology is on the rise. As more and more wireless devices like lights, sensors, air conditioners, etc., are introduced into the market, the need for seamless communication between them has also become necessary. Businesses in manufacturing, telecom, transportation, automotive, etc., use IoT for remote asset monitoring, predictive maintenance, security systems, personalization marketing, etc.
The catch here is that IoT technology is one of the key technologies for several industry sectors, and you can leverage its benefits by building cutting-edge software solutions. As these devices require a continuous transfer of data and real-time communication, building IoT software is a viable investment from a monetary angle.
Cloud-native development is the new normal.
Businesses need to scale with time. Therefore, a modular infrastructure is necessary. But what if business apps and software are cloud-native? Cloud-native business apps and software are easy to upgrade in terms of resources and offer you the required flexibility, robustness, and scalability. The overall effect: low infrastructure costs, faster scalability, and reduced operational costs.
Furthermore, the scalable software-defined networking market is powerful and high-yielding. Therefore, it can be a worthy investment to develop cloud-native applications and software.
Yes, Blockchain has applications in software development.
Blockchain technology is widely popular due to the popularity of cryptocurrency. But very few of you would know that blockchain-oriented software is a thing. Several businesses, like Walmart, IBM, Infosys, etc., use blockchain-oriented software, and there are several reasons for the same.
Blockchain-oriented software is super secure and robust. The data in the software is decentralized and replicated, which enhances data security. Lastly, there is public key cryptography and transaction recording that further strengthens data safety. Blockchain-oriented software is primarily used in healthcare and Fintech to log contract details and track transactions. dApp is another great utility of blockchain-oriented software.
AI and ML are unstoppable.
AI and Machine Learning are the core technologies of every software that collects and analyzes data. Whether it is manufacturing, IT, automotive, or any other sector, each of them is harnessing the power of AI and ML for insightful findings. Primarily, AI and ML form a part of chatbots, prediction algorithms, personalization processes, computer vision, etc., leading to accurate results.
You can hire software engineers to implement AI and ML on your business website for purposes like user behavior analysis, usability enhancement, and efficiency improvement. With generative AI chatbots, you can also speed up the development process.
Generative AI is everywhere!
Generative AI is an exceptional technology that has taken the market by storm. Since the launch of ChatGPT, there have been unlimited AI tools on the market. No matter if it is content creation, image, video, etc., the need and applications of generative AI are seen in every industry sector. Companies like MasterCard, Goldman Sachs, Morgan Staley, Unilever, etc., are using Gen AI to the fullest.
As per the current market growth or CAGR of 42%, the market of generative AI is expected to hit the $1.3 trillion mark by 2032. Thus making Gen AI a highly-converting software development trend.
So, if you are into agile development of software or apps, you can hire dedicated software engineer for generative AI development.
Low code/no code development
As the need for software development is increasing and there is a scarcity of skilled developers, low-code/no-code development can be of great help here. Low-code/no-code development tools have pre-made modules and components that enable faster software development while saving time.
These tools are great if the companies are short on staff as they can be easily operated by non-technical people, too. Moreover, companies that are low on funding can leverage its benefits to obtain the best results.
AR and VR technologies
Whether it is eCommerce, beauty, fashion, entertainment, or any other, all of them use AR and VR technologies in their respective operations. While the entertainment industry uses it for VR and AR shows, beauty and fashion brands use it for product marketing and sales via virtual try-ons. Besides manufacturing, automotive, logistics, etc., businesses use AR and VR for quality management, remote assistance, and training.
In short, the use of AR and VR apps is wide. Therefore, integrating AR and VR features into an app can be a great way to move up in the market.
Conclusion
So, these are some of the best software development trends for 2025. If you are a business planning to make it big in 2025, investing your time and resources in these trends will yield the best results. Moreover, it will be best if you take a dig at integrating multiple trends into a single software, such as generative AI and AR, into one app.
On the other hand, you need to hire software engineer who is a professional in understanding and implementing these trends. Here is the link to get in touch!