Top 6 Tech Trends 2025
As technology evolves, so does a business undergo speedy evolutionary leaps. At least it has to keeping up with the latest technology trends in order to stay afloat in this fast-paced, competitive environment. Indeed, nearly 40% of CEOs worry that their companies might struggle to remain economically viable in a decade if they continue on their current trajectory.
2024 has already set the trend of merging established technologies with just nascent ones. From AI to low-code platforms and cybersecurity, what does 2025 bring to the world of IT?
Trend 1. AI, IoT and other tech breakthroughs
It's becoming rare to find a business that isn't exploring AI implementation in some capacity. Over the past year, AI has evolved from a niche technology to the leading trend, expanding its influence across various domains.
Google searches for generative AI surged 700% from 2022 to 2023, and during this time, the capacity of large language models increased from 100,000 to two million tokens, according to McKinsey.
*In 2024, generative AI has moved from a novel concept to a key business tool, with adoption rates increasing sharply. While AI adoption had been around 50% for the past six years, it has jumped to 72% this year, marking a significant shift towards utilizing AI for business growth, according to McKinsey.
However, at this pace of advancement, AI poses questions that have yet to be fully addressed, such as:
- What measures can protect privacy in AI applications?
- How can we mitigate the impact of AI on job displacement?
- What steps can enhance transparency in AI decision-making?
- What are the risks of over-reliance on AI systems?
- etc.
The Internet of Things for the Internet of Behavior
The trend is gaining momentum, creating powerful opportunities for businesses. This time, the integration of IoT and AI has led to the emergence of the Internet of Behavior. Now AI algorithms can analyze vast amounts of data from IoT devices to generate insights, make predictions, and automate more complex tasks.
AI-backed IoT devices can help better understand and anticipate us (aka user behavior). This shift enables smart technologies to deliver more sophisticated and proactive responses. For example, they can adjust settings based on real-time analysis. This enhanced capability will drive smarter, more intuitive home and industrial systems, making the Internet of Behavior a key trend to watch.
Still, there is no limit to perfection. According to Accenture, 95% of executives believe that humanizing technology will significantly broaden opportunities across all industries. Yet, achieving a more “human-like” AI remains a challenge that has yet to be solved.
Trend 2. Future-ready software development
Next-generation software development implies tools and technologies that streamline code deployment pipelines. It also automates various processes like code creation, testing, and refactoring. These innovations aim to improve both the quality of applications and the efficiency of development practices. One key trend driving next-generation software development is the push to achieve faster yet higher-quality results. Automation plays a central role in this shift. For instance, several foundational technologies in next-generation tool development include:
- Automated testing
It significantly boosts business ROI, particularly in regression testing for large systems that frequently change and update. However, it is important to remember that automated testing, whether unit or end-to-end, remains a crucial part of the overall testing process. This is especially true when considering time efficiency. According to the report, manual testing is the most time-consuming aspect of the testing cycle.
Note: While automation is invaluable, it cannot and should not substitute for manual testing. Human involvement remains crucial for tasks like usability testing, ad-hoc testing, and handling complex test scenarios.
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Low- and no-code platforms These platforms allow both developers and non-technical users to build solutions more quickly and easily. They do so without requiring extensive programming knowledge. Besides, their user-friendly interfaces and clear design make the development process more accessible.
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Infrastructure as code It allows developers to automate and manage infrastructure through code, ensuring consistent and repeatable environments. This automation accelerates deployment and reduces manual errors. Additionally, it integrates seamlessly with modern DevOps practices, supporting the rapid and reliable scaling of applications.
Trend 3. Cybersecurity
In current business world, it’s essential to include cybersecurity in any discussion about digital transformation or innovation.
The rise of cybersecurity issues is closely linked to the growth of AI, with each driving the other forward. As AI adoption increases, it brings new risks and challenges related to digital trust and cybersecurity. Consequently, this has led to a rise in the frequency and financial impact of major data breaches, as per the PwC’s 2024 Global Digital Trust Insights survey. The proportion of organizations reporting breach costs of $1 million or more has increased to 36% from 27% last year.
Costs of organizations' most severe data breach in the past three years:
Risks such as AI misuse in cyberattacks and the dangers of "robotic development" underscore the importance of robust security measures. Addressing these concerns is crucial to safeguarding against potential vulnerabilities.
Trend 4. Cloud computing: continues to flourish
As companies increasingly move away from traditional infrastructure, the cloud is becoming essential for driving digital transformation. The widespread adoption of multicloud strategies and cloud-native development is accelerating this shift. As a result, the rise of cloud computing has become a cornerstone of contemporary IT.
Deloitte's Future of Cloud Survey shows that 90% of companies view cloud computing as essential for growth, especially when combined with AI, IoT, and analytics. Nearly 90% also see cloud as vital to digital transformation and maintaining a competitive edge.
Meanwhile, McKinsey reports that 55% of European companies are satisfied with their cloud investments, while only 13% find the returns insufficient.
How does this trend play out?
- Multicloud & hybrid options
Businesses are increasingly adopting a "n+1" strategy, which combines on-premises infrastructure with various cloud services. This approach enhances flexibility and resilience by allowing organizations to select the most appropriate cloud resources for each workload. It also reduces dependence on a single vendor. In today’s landscape, 89% of organizations operate in a multicloud environment, according to Pluralsight.
- Cloud-native development
This approach is centered around maximizing the cloud’s flexibility, scalability, and resilience. It does so through microservices architecture, containerization, serverless computing, CI/CD, and dynamic scaling.
Fun fact:
By adopting cloud-native principles, Netflix made the infrastructure change to manage large volumes of data and traffic. The company is considere the first in shifting from traditional monolithic architecture to cloud-native solutions.
- Edge computing growth
This year, cloud computing’s evolution is marked by a growing synergy between edge computing and cloud services. Forbes highlights that this integration is enabling real-time data processing at the network's edge. This significantly reduces latency for IoT and other critical applications. As cloud providers extend their services to the edge, they are opening up new possibilities and use cases, establishing edge computing as an essential aspect of the cloud advancement.
Nevertheless, while public clouds provide numerous advantages, they are not without flaws, as concerns around data security, compliance, and potential downtime still exist.
Trend 5. Moving beyond tech debt
This year, companies are focusing on modernizing their core technologies, such as mainframes, networks, and data centers, which are now burdened by technical debt. To stay competitive, businesses are shifting from piecemeal updates to a comprehensive approach aimed at achieving full-scale technical "wellness". This integrated strategy addresses accumulated issues and improves overall system performance.
Key aspects of this trend include:
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Comprehensive wellness assessments These assessments, aligned with business impact, help identify which areas of the tech stack require immediate modernization and which can continue to support operations.
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Customized and integrated wellness plans Organizations are developing tailored strategies to manage and maintain their entire tech infrastructure effectively.
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Investment in “self-healing” technologies These are systems and tools that automatically detect, diagnose, and fix problems without human intervention. Companies are increasingly adopting such technologies to proactively address issues, reducing the need for future modernization efforts.
This shift from managing technical debt to ensuring overall technical wellness will be essential for businesses looking to lead in the evolving tech landscape.
Trend 6. From concept to launch: speed matters
The race from idea to market is accelerating rapidly, driven by increasing competition and rising customer expectations. As AI and automation technologies advance, the time it takes to develop and launch a product is shrinking, making speed a critical factor for success. Businesses have to quickly turn concepts into market-ready solutions, as delays can mean losing out to faster, more agile competitors.
Leveraging agile methodologies in developing a dynamic website, we delivered the project two months ahead of schedule and boosted user retention by 35%. Foundevs team provides end-to-end project development services to help both startups and enterprises transform ideas into fully realized products: from concept validation and MVP development to scaling. Let’s begin with the idea discovery phase, designed to clearly define project goals and scope, and set the foundation for a successful and timely product launch.
Сonclusion
Tech evolution revolves around more than just innovations; it's about enhancing the human experience. From AI's ability to personalize interactions to cloud-native solutions that improve efficiency, the ultimate goal is to better serve users.
Staying ahead means not only adopting these trends but also ensuring that they are designed with the user in mind. In this rapidly evolving tech landscape, prioritizing the human element will be key to leveraging these advancements effectively.