Technology evolves at breakneck speed, and what was cutting-edge yesterday can become standard (or obsolete) tomorrow. For small and medium-sized enterprises (SMEs), keeping an eye on software development trends is crucial. Adopting the right tech trends early can offer a competitive advantage, improve efficiency, and even open up new business models. But with limited resources, SMEs can’t chase every shiny new thing – they need to focus on trends that truly align with business value. As we enter 2025, a few key software development trends stand out. This post highlights the top 5 trends that UK SMEs should watch (and potentially adopt) to stay ahead of the curve. These trends blend technological innovation with practical benefits for growing businesses.

1. AI and Automation Integrated into Applications

Artificial Intelligence (AI) is no longer the preserve of giant tech companies. In 2025, AI and automation tools are becoming increasingly accessible, even to smaller firms, through APIs and cloud services. We’re seeing AI capabilities – from chatbots and virtual assistants to predictive analytics – being built directly into everyday software. For instance, modern CRM systems might use AI to predict which leads are most likely to convert, and e-commerce platforms use AI-driven recommendation engines to personalize the shopping experience.

For SMEs, leveraging AI doesn’t mean building an AI from scratch. It could be as simple as integrating a pre-built AI service into your software or using AI features that come with your cloud platform. The goal is to automate repetitive tasks and derive insights from data that a human might miss. Automation in workflows (often through tools like RPA – Robotic Process Automation) can save SMEs significant time and reduce errors. In fact, over half (58%) of SMEs plan to use AI within their businesses in 2024, up from 40% in 2023​, showing that AI adoption is moving into the mainstream for smaller companies. Trend to watch: low-code AI integration, where even non-developers can train or tweak AI models (for example, using a service to create a custom AI model from your spreadsheet data).

Why it matters: AI and automation can supercharge productivity. By 2025, not using AI where it could help is almost like choosing not to use the internet 20 years ago. It’s becoming fundamental. SMEs who embrace AI-driven features in their software will likely outperform those that rely solely on manual processes or gut-feel decisions.

2. Low-Code and No-Code Development

The demand for software solutions often outstrips the capacity of IT teams, especially in SMEs where the development team might be very small or even non-existent. Enter low-code/no-code platforms – tools that allow users to create applications through graphical interfaces and pre-built components, with minimal hand-coding required. By 2025, these platforms have matured to the point where complex workflows, simple mobile apps, or internal dashboards can be built by “citizen developers” (non-programmers) such as business analysts or operations managers. Gartner projects that by 2025, 70% of new applications developed by enterprises will utilize low-code or no-code technologies​, up from less than 25% just a few years prior. This trend indicates a massive shift in how software is delivered.

For SMEs, low-code platforms like Microsoft Power Apps, OutSystems, or Mendix can be a game-changer. They allow rapid development and iteration without the traditional time and cost of full software development cycles. Need a quick solution to track inventory or a custom CRM tweak? A savvy team member could build it in a low-code tool in days rather than waiting months for a developer slot. Of course, complex or mission-critical systems still benefit from professional coding, but low-code can handle a surprising range of needs and integrate with existing systems.

Why it matters: Low-code platforms democratize development and help alleviate the IT backlog. They enable SMEs to digitalize processes quickly and experiment with new ideas at lower cost. However, it’s important to maintain some governance – uncontrolled app sprawl can become its own problem. The smart approach is to use low-code for prototypes and departmental tools, with oversight to ensure security and integration standards are met.

3. Cloud-Native and Microservices Architecture

Gone are the days when SMEs would run a server in a closet for their software. Cloud computing has been a trend for a while, but “cloud-native” takes it a step further. It means designing software specifically to run in the cloud environment, taking advantage of auto-scaling, distributed databases, and microservices. Microservices architecture breaks down a software application into smaller, independent services (e.g., authentication service, payment service, user profile service) that communicate via APIs. This approach, used by giants like Netflix and Amazon, is now increasingly feasible for smaller applications thanks to managed services and containers (like Docker) becoming simpler to use.

In 2025, SMEs should watch how even their off-the-shelf solutions are being delivered. Many software vendors now offer “serverless” or microservice-based products where you don’t worry about the infrastructure at all – you just consume the service. If you are developing custom software, adopting a microservices approach can improve resilience (one component failing doesn’t crash the whole system) and make future changes easier (you can update one microservice without redeploying everything). Cloud-native also often means lower costs for scaling: you pay for what you use and can automatically handle peak loads, which is great for SMEs experiencing growth or seasonal spikes.

Another aspect of cloud-native is leveraging Containers and Kubernetes – technologies to deploy software in isolated units that can run anywhere. While an SME might not directly manage Kubernetes, many cloud providers (AWS, Azure, Google Cloud) have simplified it. For an SME’s tech team, knowing the basics of containerization ensures your applications are portable and efficient.

Why it matters: Being cloud-native can significantly reduce IT operational burdens. It allows small teams to maintain highly available and scalable systems without needing a large DevOps staff. It also future-proofs your software – cloud providers roll out new capabilities (like AI services, global CDN coverage, advanced databases) that you can plug into relatively easily if your software is already in their ecosystem. SMEs should ensure new software projects evaluate cloud-native designs to reap these benefits.

4. Focus on Cybersecurity and DevSecOps

With increasing digitization comes increasing risk of cyber threats. SMEs are not exempt from cyber attacks – in fact they are often targets because they may have weaker defenses. As software development trends in 2025, DevSecOps (Development + Security + Operations) is emerging as a best practice. This means baking security into every step of the software development lifecycle, rather than it being an afterthought. Tools for automated security testing, dependency vulnerability scanning, and container security have become more user-friendly, making it easier for smaller companies to adopt.

We’ve also seen a trend in Zero Trust security models being implemented in software architectures. Zero Trust essentially means every component and user must continuously verify trustworthiness – no one is inherently “trusted” just because they’re inside a network. In practical terms for software, it means strong authentication, encryption of data at rest and in transit, and fine-grained access controls are built into applications.

From a trend perspective, 2025 will see even small dev teams using things like static code analysis, penetration testing tools, and secure coding frameworks as part of normal operations. Cloud platforms offer many security features (like AWS’s security hub or Azure Security Center) which can be leveraged by SMEs to improve their security posture. Considering that nearly 43% of cyberattacks target small businesses​, the focus on cybersecurity in software development is a trend that no SME can afford to ignore.

Why it matters: A security breach can be devastating for an SME – leading to financial loss, reputational damage, and potential regulatory penalties. By following DevSecOps practices and making security a core part of development, SMEs can significantly reduce their risk. Plus, showing customers that you take security seriously can be a differentiator. As privacy laws like GDPR remain in force, being proactive on security and privacy is not just smart, it’s necessary.

5. Progressive Web Apps (PWAs) and Mobile-First Experience

Mobile continues to dominate user interactions. As of 2024, roughly 60% of website traffic comes from mobile devices​, and that trend is only growing. SMEs must ensure their software solutions cater to mobile users, whether that’s customers or employees. A big trend here is the rise of Progressive Web Apps (PWAs) – web applications that can function like mobile apps (including offline use, push notifications, and a home screen icon) without needing to develop a separate native app for each platform.

PWAs use modern web capabilities to deliver an app-like experience. For an SME, this could mean your e-commerce site also serves as a PWA, so customers can “install” it on their phone and get a faster, more engaging experience than a typical mobile web page. Or an internal tool could be a PWA allowing staff to use it on their phones even when offline (e.g., a field service reporting tool that saves data offline and syncs later).

Alongside PWAs, the broader concept of Mobile-First Design in all software development is firmly entrenched. This means when you design a new system, you consider the smartphone interface first (with its smaller screen and touch input), then scale up to desktop. It ensures the user experience is smooth on mobile, which is where many users will be. Even Google’s search rankings now prioritize mobile-friendly sites, so there’s an SEO incentive too.

Why it matters: If your software or website isn’t easily usable on mobile, you’re likely losing customers or efficiency. Embracing PWAs can save development costs (one codebase for web and mobile) while reaching users where they are. It’s a trend that blends both technology and user behavior – the technology (PWA standards, better mobile browsers) has matured just as users expect a slick mobile experience everywhere. SMEs that adapt their software strategy to mobile-first and PWA approaches will likely see better engagement and satisfaction.

Conclusion and Next Steps

The software development landscape in 2025 offers SMEs a wealth of opportunities. From integrating AI for smarter operations to leveraging low-code tools for rapid solutions, the playing field between big and small players is more level than ever – if you take advantage of these trends. The five trends outlined – AI/automation, low-code development, cloud-native architectures, DevSecOps security, and mobile/PWA focus – are particularly relevant because they address common SME challenges: limited resources, need for speed, risk management, and reaching customers effectively.

Of course, not every trend is right for every business. The key is to align tech trends with your business goals. Are you trying to improve customer engagement? Focus on mobile-first and AI-driven personalization. Need to cut costs or do more with a small team? Embrace low-code and automation. Concerned about reliability and growth? Cloud-native microservices and DevSecOps will set you up for success.

To get started, consider performing a quick audit of your current systems and identifying gaps or areas of pain. Then see which trend might offer a solution. For example, if your team is drowning in manual data entry between systems, process automation (perhaps using an AI or RPA) could be the trend to adopt first. If you’re spending too much time firefighting IT issues, moving to a cloud-native SaaS solution might free you up.

Stay curious and keep learning. The tech world doesn’t stand still, and part of the advantage SMEs have is the ability to adapt quickly. Subscribe to industry blogs, attend webinars, or consult with tech partners to keep informed. Gemstone IT regularly helps clients navigate these fast-moving trends – whether it’s building an AI-enhanced application or refactoring an old system for the cloud. If you see a trend here that you want to capitalize on but aren’t sure how, consider reaching out for guidance. We’re passionate about leveraging the latest technology in a practical way to help businesses grow.

In conclusion, 2025 is set to be an exciting year for software development in the SME space. By watching and wisely adopting these top trends, your business can improve its efficiency, innovate its services, and deliver greater value to customers. Don’t let the tech revolution pass you by – embrace it and make it work for you.

The integration of artificial intelligence into the onboarding and training processes of businesses is revolutionising the way junior developers are being taught and supported in their early careers. By employing AI-driven platforms and resources, we are able to offer personalised learning paths and real-time guidance that enable our new developers to rapidly become valuable members of the team. In this post, we will explore the various ways AI has improved the onboarding and training experience for our junior developers:

Customised Learning Plans

One of the primary benefits of AI-driven learning platforms is their ability to analyse each junior developer’s existing skillset and identify any knowledge gaps. Based on this analysis, the platform can then create tailored learning plans that cater to the unique needs of each individual. By focusing on these customised plans, new developers can efficiently acquire essential skills, while also being provided with targeted resources for continuous learning and growth. This personalised approach enables our junior developers to maximise their potential and adapt to their new roles more effectively.

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Interactive Learning Experiences

In the past, traditional training materials and learning resources have often been somewhat static and passive, making it difficult for junior developers to truly engage with the content. However, the incorporation of AI into our training materials has transformed the learning experience, making it more engaging and interactive. AI-powered tools can generate realistic coding challenges that help to hone the problem-solving skills of our developers. Furthermore, these tools can provide instant feedback, as well as offer hints or suggestions, fostering an immersive learning environment that actively promotes skill development and encourages creative thinking.

Mentorship and Support

The value of mentorship and support in the development of junior developers cannot be understated. AI has greatly enhanced the mentorship and support available to our junior developers, with tools that allow them to identify areas where they may need additional guidance. They can then share this information with senior team members, who can provide targeted support to ensure that the junior developers receive the right assistance when they need it most. This targeted approach helps to build a strong support network for our new developers, fostering a sense of teamwork and collaboration that is vital to their success.

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Streamlining the Onboarding Process

In addition to the benefits outlined above, AI has also played a pivotal role in streamlining the onboarding process for junior developers. By automating various aspects of the process, such as the completion of administrative tasks and initial assessments, AI allows new developers to focus on learning and acclimatising to their new environment more rapidly. This efficient approach to onboarding not only saves time and resources but also helps to alleviate the stress and anxiety often associated with starting a new job.

Ongoing Evaluation and Improvement

Another advantage of AI-driven learning platforms is their ability to continuously evaluate and improve the learning experience for junior developers. By analysing data on the performance and progress of each developer, AI can identify trends, patterns, and areas for improvement. This information can then be used to refine and enhance the learning materials and resources, ensuring that the training programme remains up-to-date, relevant, and effective.

Through AI-assisted onboarding and training, we are able to equip our junior developers with the skills and knowledge they need to succeed and become valuable contributors to the team. This not only strengthens our development team as a whole but also ensures that we can continue to deliver innovative solutions and exceptional services to our clients. As AI continues to advance and evolve, it is exciting to envision the myriad of possibilities that this technology holds for the future of onboarding, training, and professional development in the tech industry.

AI has had a profound impact on our developers’ productivity, enabling them to work smarter, faster, and more efficiently. By leveraging AI-powered tools and platforms, our development team can focus on creating innovative solutions while automating time-consuming tasks. Here’s how AI is revolutionising the way our developers work:

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Intelligent Code Assistance

AI-powered code assistants, such as GitHub Copilot, have streamlined the coding process for our developers. These tools offer real-time suggestions and auto-complete code snippets, helping developers write clean, efficient, and bug-free code. This not only saves time but also ensures that our team consistently delivers high-quality software.

Automated Testing and Debugging

AI-driven testing and debugging tools have significantly reduced the time our developers spend on identifying and fixing issues. By automatically detecting potential bugs, errors, or vulnerabilities, these tools enable our developers to address problems early in the development process, ensuring a stable and secure final product.

Team of software engineers brainstorming ideas for new code library in front of computer screens compiling algorithms.

Enhanced Collaboration and Knowledge Sharing

AI has also facilitated seamless collaboration and knowledge sharing among our developers. AI-powered platforms can intelligently categorise and recommend relevant resources, helping our team access the information they need quickly and efficiently. This streamlined knowledge sharing process fosters innovation and continuous improvement within our development team.

By harnessing the power of AI, our developers can deliver top-notch solutions in less time, allowing us to provide our clients with state-of-the-art products and services that keep them ahead in their respective industries. With AI by our side, we continue to push the boundaries of what’s possible in software development.

As a forward-thinking service provider, we constantly strive to stay ahead of the curve, embracing the latest technologies to enhance our processes and deliver unparalleled services. Artificial Intelligence (AI) has become an integral part of our strategy, empowering us to streamline our operations, improve customer experiences, and provide innovative solutions. In this blog post, we give a brief overview of how AI has transformed our services and workflow and how you can benefit from it.

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Automating Routine Tasks

One of the significant ways AI has transformed our IT services is by automating routine tasks, freeing up our team’s time to focus on more complex challenges. Through AI-powered tools and algorithms, we can efficiently manage and monitor networks, identify potential issues, and apply fixes even before they escalate into problems.

As an example we have recently used GPT-4 to instantly create unit tests for our mission critical applications, and set up CI/CD pipelines to run the tests during deployment.

Enhancing Cybersecurity

With the ever-evolving cyber threat landscape, we rely on AI to bolster our cybersecurity measures. AI-driven systems can quickly analyse vast amounts of data, detect anomalies, and identify potential threats in real-time. This proactive approach enables us to provide robust protection for our clients’ digital assets.

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Personalising Customer Support

We pride ourselves on delivering exceptional customer support. AI-powered chatbots and virtual assistants have been instrumental in enhancing our customer service experience by providing instant, personalised assistance. These AI tools ensure that our clients receive accurate and prompt support, while our team can focus on addressing more complex issues.

Optimising IT Infrastructure

AI-driven analytics allow us to optimise IT infrastructure and resources for our clients. By analysing usage patterns and performance metrics, we can make data-driven decisions to improve efficiency, reduce downtime, and lower costs – ultimately delivering a seamless experience for our clients.

Conclusion

AI has undeniably become a game-changer in the IT services industry, and we’re proud to be at the forefront of this revolution. By integrating AI into our processes, we can offer cutting-edge, personalised services to our clients, ensuring that their businesses thrive in an increasingly competitive digital landscape.

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We hope you enjoyed discovering how AI is shaping our IT services. Our next post will be a deep dive into how we use AI to enhance developer productivity.

If you’re looking to enhance your business with AI-powered IT solutions, feel free to get in touch with our expert team, and let’s explore the possibilities together!