Top Java Technology Trends​ 2024–2025

Do you want to be successful in any field? Keep up with trends. Software development is no exception. Java has remained a leading programming language for over two decades, including due to moving with the times and adapting to technology trends. We’ve compiled the list of current trends in Java for developers and businesses to move in the right direction in coming years.

SaM Solutions helps to deliver powerful and reliable Java software of any scale and complexity.

DevOps

The growing adoption of DevOps practices is largely driven by the demand for faster application delivery, which is possible when developers and operators can work together with no hurdles and delays. 

Notably, 77% of organizations are now utilizing DevOps for software deployment, with 49% reporting increased release frequencies due to these methodologies.

DevOps practices have become an important aspect of modern Java development due to a comprehensive set of tools.

DevOps is a competitive necessity for Java apps, contributing to faster releases, better software quality, and higher team productivity.

Git

Powering 90% of global software projects, Git is the world’s most widely used version control system.

Java developers rely on Git’s distributed nature to maintain a complete history of changes in their projects and track code across versions, thus improving collaboration between team members. They can also confidently branch, merge, and try out new features, which is important for agile development.

The ecosystem comprises GitHub, GitLab, Bitbucket Cloud, and other tools for CI/CD integration, code reviews, and issue tracking directly into Java development workflows. 

Currently, there are over 8.3 million Java repositories on GitHub.

Artificial Intelligence (AI)

Artificial Intelligence is undoubtedly among Java technology trends, because it is the primary competitive advantage that offers limitless capabilities to software solutions. 

Java engineers have access to multiple AI and machine learning libraries and frameworks at their disposal: 

• Deeplearning4j — an open-source library for deep learning that runs on the Java Virtual Machine (JVM). It’s great for building and deploying neural networks in real-world applications and can handle distributed training on both GPUs and CPUs.
• Weka — a toolkit for machine learning that’s written in Java. It offers numerous tools for tasks like data preprocessing, classification, and clustering, making it user-friendly for everyone from beginners to pros.
• Deep Java Library (DJL) — an open-source library for building deep learning models in Java. It has a high-level API and is compatible with popular backends (e.g., TensorFlow, PyTorch).
• TensorFlow Java — an API that enables the creation and training of machine learning models using TensorFlow’s features directly from the Java environment.
• Apache Mahout — a scalable machine learning library that focuses on filtering, clustering, and classification algorithms. It works with large datasets in distributed environments.

Serverless Architecture

Developers favor the serverless approach to app creation because it frees them from managing server infrastructure, so they concentrate on writing code. More organizations are turning to this model, as it is the basis for scalable and cost-effective solutions. According to recent statistics, the serverless computing market is expected to reach $21.1 billion by 2026. 

Serverless applications are becoming a standard practice in the Java community as well. AWS Lambda and Azure Functions are the most popular platforms for developing event-driven applications that automatically scale in the cloud. Spring Cloud Function is another popular Java-based framework facilitating serverless computing.

Cloud Computing

Java and cloud development are inseparable today. Since Java works with leading cloud service providers — AWS, Google Cloud Platform, and Azure — it offers comprehensive solutions for creating and deploying cloud applications. 

Spring Boot is arguably the most popular framework among Java developers for creating microservices in cloud-native apps. Docker and Kubernetes provide effective containerization and orchestration. With a variety of other tools, for example, Apache Struts, Micronaut, Vert.x, and more, creating Java-based cloud solutions has become as easy as possible.     

Remote Access Solutions

The new trends in Java​ include remote access solutions, which emerged during the COVID-19 pandemic to address the rising demand for remote work environments. Over 70% of organizations have adopted hybrid or fully remote models, making secure and efficient remote access tools more essential than ever. 

Java is an adaptable programming language with strong cross-platform capabilities and security features. It is suitable for creating apps with remote access to office resources. Java RMI (Remote Method Invocation), which enables remote communication between Java programs, and Spring framework, which supports the development of enterprise applications, enable developers to create solutions for video conferencing, virtual private networks (VPNs), and file sharing. 

VS Code/IDEs Adoption

When discussing Java new trends, the adoption of integrated development environments (IDEs) and tools like Visual Studio Code (VS Code) must be mentioned. 

In 2024, IntelliJ IDEA leads with an impressive 62% adoption rate among JVM developers. Eclipse and VS Code follow closely, with VS Code gaining popularity. A recent survey highlighted its growth in the Java community, backed by 730 responses indicating its increased adoption. The flexibility and extensive plugin ecosystem of VS Code provide a lightweight yet powerful coding environment. Developers also benefit from integrated cloud services and containerization technologies within these IDEs.

Modern IDEs improve code management and collaboration, align with agile methodologies, and empower teams to deliver high-quality applications more quickly than ever before.

Spring Framework

Spring Framework stays at the forefront of the Java world in 2024 and beyond. The framework supports modern architectures (e.g., microservices, serverless computing), offers useful programming techniques (e.g., dependency injection), and is highly flexible, which is crucial for enterprise applications. 

Recent updates have focused on cloud-native features, reactive and functional programming, and improved performance. As more companies opt for microservices and cloud-based solutions, Spring, along with its popular extensions, Spring Boot and Spring Cloud, remains on the list of Java trends.

Mobile/Android Development

Android is the most popular mobile operating system in the world, holding a staggering 72% share of the global mobile OS market. 

Java has long been a key language for creating Android applications, offering developers a wealth of libraries and tools, and it is widely used today. Over the past few years, however, Kotlin has emerged as the preferred language for many developers. This modern language, which runs on the Java Virtual Machine (JVM), is favored for its concise syntax and improved safety features. Kotlin also offers cross-platform capabilities: with Kotlin Multiplatform, developers can create shared code that functions across Android, iOS, and the web.

Recent statistics show that while Java is still popular in Android app development, Kotlin’s adoption has surged, with over 70% of professional Android developers now choosing Kotlin for new projects. This combination of languages provides more opportunities for innovative solutions within the Android ecosystem.

Why Choose SaM Solutions for Java Development?

SaM Solutions is a trusted partner offering a broad array of services, from custom development to consulting and Java integration. 

Our team of 120+ Java experts is ready to take on any task, contributing to your business success. Our dedication to quality, security, and strong client relationships is evident in our company’s long-term partnerships with over 20 clients. 

Conclusion

Developers and businesses alike should stay updated on the latest trends in Java​; it is like using a litmus paper to assess the current state of the market and adapt accordingly.