Top 10 Software Development Trends of 2025
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When creating digital solutions, you are required to follow the latest software development trends, regardless of the industry you work in or the type of software you are going to build.
Obviously, artificial intelligence is the buzzword today, and this technology is surely on our list. However, there are other important tendencies that IT providers and developers should take into account in 2025. Let’s look at them in detail.
Overview: Software Development Industry in Figures
- The number of software developers worldwide is expected to reach 30 million in 2025, up from around 27.7 million in 2023. This is the evidence that all industries demand more skilled programmers.
- Over 80% of software development teams will likely use AI tools (e.g., GitHub Copilot) into their work by 2025.
- As of 2024, over 70% of developers worked remotely at least part-time, with 35% working fully remote. So, the demand for cloud-based development environments and collaboration tools is growing.
- The low-code/no-code market is projected to be worth $65 billion in 2025, growing at a rate of nearly 20% annually. Due to this trend, software development is getting more accessible to non-developers.
Latest Trends In Software Development 2025
IT specialists and software developers create digital products to ensure sustainable and adaptable businesses. Here are the most popular technologies and strategies they use to achieve better results: AI and ML, low-code/no-code development, cloud-native applications, cybersecurity and DevSecOps, Internet of Things, blockchain, edge computing, remote work, agile delivery practices, and the necessity to enhance user experience.
Develop your custom software with SaM Solutions’ engineers, skilled in the latest tech and well-versed in a wide range of industries.
1. Artificial Intelligence and machine learning
Artificial intelligence (AI) and machine learning (ML) technologies are now a reality rather than a futuristic concept. The technologies make it possible to create software solutions that recognize human speech, detect images, make predictions, and perform many more tasks. They are now widely applied across various business sectors:
Virtual assistants and chatbots enhance customer service and engagement in retail and healthcare sectors.
Intelligent analytics services can precisely predict user patterns in ecommerce, while in manufacturing they assess machine performance.
In enterprise systems, AI and ML algorithms analyze user behavior to detect anomalies and protect data against cybersecurity threats.
You can build and train neural networks with different platforms, the most popular of them are TensorFlow by Google and PyTorch by Meta. They support different programming languages, primarily Python and C++, run on CPUs, GPUs, and mobile devices (via TensorFlow Lite and PyTorch Mobile), and offer flexible APIs for deep learning development.
Statista predicts the global artificial intelligence market will hit $243.72 billion in 2025. By 2030, the figure can reach $826.73 billion, showing an annual growth rate of 27.67%.
With the rise of special AI/ML libraries and frameworks, software engineering processes have also seen significant advancements. In particular, developers are leveraging these smart tools to automate repetitive programming tasks, thereby focusing more on creative aspects.
2. Low-code/no-code development
Software engineering is moving toward simplification, with a new approach to creating software solutions known as low-code/no-code (LCNC) development.LCNC platforms enable practically anyone to develop software without traditional coding via graphical user interfaces and configuration.
Such programming environments have great potential because they allow people to implement their ideas into digital solutions, even with limited or no software development skills.
- 80% of respondents believe that the low-code approach can free up developers so that they can focus on higher-level projects.
- 72% of low-code developers reportedly create software apps twice as fast as those using traditional development methods.
- The global value of the LCNC development platform market is projected to be $46.4 billion by 2026, growing at a CAGR of 25% during this period.
Some developers are still skeptical about low-code/no-code development. But the fact is that this approach brings many advantages. By automating much of the process, low-code tools save time and money. Moreover, it has become easier for newcomers to enter the world of programming.
3. Cybersecurity and DevSecOps
The emphasis on cybersecurity in 2025 reflects a proactive response to the escalating challenges. In the digital world, cybersecurity is more vital than ever. It is obvious that we need strong measures to safeguard private information and commercial processes as technology permeates more and more into our daily life. Cyberthreats get more complex and more common, hence organizations face increasing risks to information and infrastructure.
Shockingly, the estimated cost of cybercrime worldwide is predicted to hit $10 trillion in 2025, underlining the staggering financial losses of inadequate cybersecurity.
Moreover, the increase in remote work and the widespread adoption of IoT devices have expanded the attack surface. To address current issues successfully, experts should not only focus on traditional security measures but also explore innovative approaches, such as AI-driven threat detection and zero-trust architecture.
Here are some of the most popular cybersecurity measures being adopted in 2025.
AI tools identify potential threats before they occur by analyzing data in real time, and can automatically respond to malware and phishing attempts without human intervention.
This approach assumes that no entity should be trusted by default. It emphasizes continuous verification and implements least privilege access policies and micro-segmentation.
This is the practice of integrating security into every phase of the software development lifecycle. It automates security checks throughout the CI/CD pipeline to catch vulnerabilities early. Snyk and Aqua Security are popular tools that help scan code and containers for threats in real time. A major benefit is faster compliance with regulations (e.g., GDPR, HIPAA).
This is a form of managed cybersecurity that is delivered via the cloud. It offers on-demand solutions for threat detection, vulnerability assessments, and compliance monitoring.
4. Cloud-native development
The creation of applications for cloud environments is among the key software development industry trends this year. This approach is popular due to the benefits it offers, including quicker time to market and greater scalability. Cloud-native development adheres to the four main principles.
The collaboration between software developers and IT operations with the goal of automating the process of software delivery and infrastructure changes.
Enables applications to be released quickly, reliably and frequently, with less risk.
An architectural approach to building an application as a set of independent services that run on their own and communicate over HTTP or messaging.
A single server is divided into isolated containers to provide light-weight virtualisation. Containers offer both efficiency and speed compared to standard Virtual Machines (VMs), as well as the ability to manage and migrate dependencies along with the application.
5. Remote and distributed development teams
It has become a major trend in software development to hire remote employees and build distributed teams. Primarily, the trend is driven by cloud collaboration tools. A key benefit it offers is access to skilled developers worldwide, which means reduced hiring constraints and operational costs.
Studies show remote teams boost productivity by up to 47%, thanks to flexible work environments. However, there are challenges as well (e.g., time zone coordination or maintaining team culture). To ensure the efficiency of global software projects, firms adopt asynchronous communication and virtual team-building activities.
6. Integration of the Internet of Things (IoT)
The Internet of Things is undeniably at the forefront of contemporary technology trends, with several key facets impacting the sector: 5G networks, AI/ML models, and security issues.
With the increasing adoption of 5G networks, data transfer is becoming faster and more reliable. As a result, users get more powerful and responsive IoT solutions.
Concurrently, there’s more reliance on AI and machine learning algorithms to derive valuable information from the tons of data generated by connected devices. With predictive and prescriptive analytics, businesses can make well-informed decisions.
Security is a big concern in the IoT ecosystem, that’s why a lot has been done to improve the protection. Developers implement encryption protocols and authentication mechanisms to safeguard sensitive information.
The main application areas of the Internet of Things are industrial IoT, healthcare and telemedicine, connected cars and vehicle systems, and the Internet of Behaviors.
7. Blockchain technology applications
Gone are the days when blockchain technology was exclusively linked to cryptocurrency. Experts have noted a remarkable surge in the adoption of blockchain across diverse sectors. The appeal lies in its distributed, decentralized nature, offering exceptional security and transparency for a wide array of transactions.
Web 3.0 is the next stage of the internet evolution. In Web 2.0, data control belongs to tech giants. Web 3.0 implies that users own and control their digital identity and assets themselves. This becomes possible due to blockchain technologies like Ethereum and IPFS that provide higher privacy and full transparency. DApps (decentralized applications) are one of the main principles of Web 3.0.
NFTs are virtual assets or items (e.g, pieces of art, music tracks, videos, and more) based on a blockchain. Creators use OpenSea, Rarible, and other platforms to sell NFTs, while popular brands (e.g., Nike, Gucci) motivate user engagement with the help of NFTs.
DeFi eliminates intermediaries in financial transactions, enabling peer-to-peer lending, trading, and investments. Uniswap, Aave, Compound and other platforms provide decentralized exchanges (DEXs) and yield farming, so users can earn interest without the mediation of banks.
Play-to-earn models have become possible with blockchain. These are models where players can own in-game assets as NFTs and trade them in real-world marketplaces. Axie Infinity and Decentraland are games that use blockchain to create digital economies, and their players can buy, sell, and earn cryptocurrency while playing.
8. Prioritized user experience (UX)
A simple and accessible design of your application helps keep users interested and reduces customer churn rate.
Studies show that 88% of users abandon apps due to poor UX, emphasizing the need for seamless interactions. As competition grows, businesses investing in superior UX see up to 400% higher conversion rates.
Here are some tips to improve user experience:
| Create simple design | Use intuitive navigation, clean layouts, legible fonts, proper spacing, and high contrast. |
| Maintain consistency | Keep colors, fonts, and UI elements uniform. |
| Use appealing visuals | Select high-quality images, animations, or videos. |
| Take into account user feedback | Regularly gather and implement user suggestions. |
| Guarantee rapid page loading | Optimize images, code, and server performance to reduce delays. |
| Optimize for mobile | Adhere to a mobile-first approach to make your app responsive. |
| Provide clear CTAs | Make buttons and links noticeable and action-driven. |
9. Agile and continuous delivery practices
The adoption of agile practices has grown to 95% among software teams, because they make the development process more scalable and help team members collaborate. Large corporations, Spotify and Amazon are among them, use agile methodologies to release updates multiple times a day.
Right now, there’s a big push towards hyper-agile workflows. This means teams are working even more flexibly and quickly than before. They’re using AI-driven agile practices to make their processes smarter. For example, AI can help with precise sprint planning: it predicts which tasks will take longer and identifies potential hardships. This helps teams distribute resources better and deliver projects faster.
Continuous delivery is also super popular. It deals with getting software updates out to users as quickly and reliably as possible. This is achieved through the automation of tests, builds, and deployments so that new features can be released without manual intervention.
10. Edge computing
The technology has a particular importance for IoT systems, and is also among the key trends in software development. The edge computing market continues to grow exponentially.
According to Fortune Business insights, the global edge computing market size will grow from $15.96 billion in 2023 to $139.58 billion by 2030.
In recent years, more organizations don’t rely solely on centralized cloud platforms for analytics. They prefer shifting processes to the edge, closer to where the data is actually generated.
Due to the junction of AI and edge computing, data can be processed and analyzed in real time closer to the data source, which is essential for autonomous vehicles, healthcare, and other spheres where immediate decision-making is a must. Developers optimize AI models to run on edge devices in order to reduce dependence on cloud processing and lower latency.
The adoption of 5G networks is a major driver for edge computing. Due to the technology, ultra-low latency applications such as smart cities, industrial IoT (IIoT), and immersive AR/VR experiences become possible. Verizon and Ericsson are among companies that integrate edge computing with 5G infrastructure to enhance network efficiency and provide better user experiences.
Cloud providers also move their services to the edge. AWS Wavelength, Microsoft Azure Edge Zones, and Google Distributed Cloud Edge offer businesses pre-built edge computing solutions that simplify deployment and management. Thus, enterprises don’t have to build proprietary infrastructure but can benefit from edge computing.
More companies express concern over energy consumption, so edge computing can be a way out. Local data processing minimizes energy-intensive data transfers to centralized cloud data centers, leading to reduced carbon footprints. AI-driven workload optimization is also improving efficiency in industries such as telecommunications, smart grids, and logistics.
Why You Should Choose SaM Solutions as Your Software Development Provider
SaM Solutions is an international outsourcing software development company with over three decades of hands-on experience in various domains. We specialize in developing custom and platform-based software and offer a full spectrum of services, including IT audit and consulting, legacy system modernization, cloud migration, and more, catering to startups, SMBs, and large corporations worldwide.
Our key expertise includes ecommerce development, IoT and embedded development, mobile app development, QA services, DevOps services, and more.
We can conduct your software development project from idea to deployment, gather a dedicated development team according to your needs, or augment your team with skilled developers from our pool of 300+ available experts. Contact us to discuss the details.
Summing Up
The software development industry is in a state of continuous transformation, with new tools and technologies coming to the forefront while others become obsolete. To remain competitive in this digitalized world, businesses must keep up with current trends and quickly adjust new technologies to their processes.
FAQ
Which tech industry is growing?
Among the fastest growing technologies in 2025 are artificial intelligence (AI), blockchain, DevSecOps, low-code/no-code tools, cloud-native apps, and edge computing.
Why is tracking emerging software development trends important?
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