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Emerging B2B Technology Trends for 2025: Is AI the Core Driver?
How will new technologies shape B2B development in 2025? What solutions will businesses need to remain competitive? This article examines key trends based on recent research and expert insights, offering a clear perspective on the innovations shaping the future of B2B technology.
About the author:
Slava Kostin is the CEO of WislaCode Solutions, a fintech-focused software company that builds high-load applications.
Previous roles include CEO in IT, Director of Strategy and Marketing in banking, Curator of Holding Banks, and Head of Products and Project Office. He holds an Executive MBA from IMD (Switzerland) and completed the Leading Digital Business Transformation programme at IMD.
AI’s Role in IT Spending for 2025
Is AI the primary force behind IT spending growth? While artificial intelligence dominates discussions, its direct impact on IT budgets in 2025 may be less pronounced than anticipated. According to Gartner, global IT spending is forecast to grow by approximately 7%, potentially surpassing investments in communications services for the first time.
This growth reflects a broader shift: companies are preparing for inevitable GenAI-related investments. However, the focus for now is on building secure infrastructure that enables safe and scalable AI integration in the future, not necessarily immediate large-scale implementation.
WislaCode Solutions is a team specialising in the development of digital solutions for banks and financial institutions. The company delivers high-load applications, ranging from mobile banking and internal systems to payment platforms and intelligent search assistants.
Projects are built with a strong focus on user experience, technological resilience, and architectural flexibility. Key areas of expertise include PWA implementation, microservices architecture, integration with external platforms, and business logic development, with a strict focus on security and scalability requirements.
Key Areas for Business Investment
To adapt to evolving technology, businesses are prioritising several critical areas. These investments aim to enhance efficiency, security, and innovation.
● AI Governance and Risk Management: AI is increasingly powered by open-source, pre-trained models, making strong AI Trust, Risk, and Security Management (TRiSM) frameworks essential. Without proper oversight, businesses risk privacy breaches, reputational damage, and incorrect outputs. By 2026, Gartner predicts that companies with robust AI TRiSM programmes will avoid 80% of misleading or incorrect information, significantly improving decision-making accuracy.
● Enhancing Workforce AI Access: AI is not replacing people - it’s enabling them. Automating repetitive tasks allows employees to focus on higher-value work. For example, AI can assist with onboarding, upskilling, or routine analysis. Yet, according to a Google Cloud cybersecurity report, the rise of “shadow AI” – unofficial tools adopted by employees – creates new data security risks. As such, verified, enterprise-grade AI solutions are essential.
● Industry-Specific Cloud Platforms: The shift toward tailored platforms continues. Gartner projects that by 2027, over 70% of enterprises will be using industry cloud platforms (ICPs), up from less than 15% in 2023. These modular solutions, built on public cloud foundations, enable businesses to respond more quickly to changing conditions, integrate data, and scale innovation more effectively than traditional SaaS solutions.
● Smart Applications for Personalisation: Applications are becoming more intelligent, taking in large volumes of data to deliver relevant and proactive user experiences. One example: an insurance app that monitors weather patterns via satellites and automatically files a claim when a customer’s property is affected. Such scenarios, where software can "think and act" on behalf of users, are already being piloted across various industries.
● Strengthening Cybersecurity: Cybersecurity remains a top priority. The zero-trust model, which assumes no implicit trust within or outside the network, is transitioning from theory to an operational strategy. According to a Cisco survey of 4,700 cybersecurity professionals, 86% of companies have already begun implementing zero-trust principles, although only 2% have achieved maturity. Meanwhile, Forbes highlights how in 2024, zero trust is evolving into a broader framework for asset security, supported by continuous AI-based authentication and behavioural monitoring.
Why These Trends Matter
The trends shaping 2025 are rooted in intelligent, secure, and modular technology. AI is the common thread across these shifts, yet its real value depends on how thoughtfully it's implemented. From cybersecurity to industry-specific cloud, each investment area reflects a desire to move faster, but with control and clarity.
Engaging with the Future
Which of these trends will shape your business in 2025? Are you exploring industry-specific cloud platforms or focusing on cybersecurity? Share your thoughts and experiences - we’d love to hear how these technologies are transforming your work.
Acknowledgements
We extend our gratitude to WislaCode Solutions for providing the insights that inspired this article. WislaCode Solutions specialises in developing innovative fintech solutions, delivering end-to-end digital software that enhances user experiences and drives business growth.