Agility, speed and automation drive business success, making Integration Platform as a Service (iPaaS) crucial for digital transformation. With growing data and applications, integration — now enhanced by artificial intelligence (AI) — remains a major enterprise challenge.

The iPaaS market is projected to soar from $9.57 billion in 2024 to $132.49 billion by 2033, growing at a 33.92% CAGR. These growth projections are truly remarkable.

Enter iPaaS — a cloud-based platform that manages integrations and data flows across diverse cloud and on-premises applications. Now enhanced with AI features like intelligent mapping and automated error handling, it handles the full lifecycle of APIs, automates business processes and orchestrates workflows all within a centralized platform. 

iPaaS doesn’t just enable integration — it empowers agility, innovation and scalability. 

As we look ahead to the next few years, iPaaS is set to evolve at breakneck speed, driven by rising demands for AI-powered automation, intelligent workflows and innovation. From democratizing integration to AI-powered workflows and building generative AI (GenAI) applications, here are the top six trends shaping the future of iPaaS through 2025 and beyond.

Agentic AI operates as autonomous (AI) agents — intelligent systems that can perceive, reason, act and learn to perform tasks or achieve goals. They go beyond simple AI tools by chaining thoughts, making decisions and interacting dynamically with the environment or users. With their ability to act autonomously or semi-autonomously, these agents can help your enterprise realize your vision of GenAI by increasing productivity and improving insights and decision-making.

In the past, building automation meant manually connecting applications and setting fixed rules. Now, AI agents enable workflows that adapt, learn and run independently without any human intervention, enhancing efficiency and accuracy as well as fostering innovation. Capgemini further predicts that 71% of organizations anticipate that AI agents will achieve higher levels of automation.

AI governance platforms enable organizations to manage, monitor and enforce responsible, legal, ethical and operational performance of their AI systems. These platforms provide tools and frameworks to ensure AI systems remain transparent, compliant with regulations, fair, secure and aligned with business objectives.

As AI expands across industries, you must address risks like biases, privacy concerns and ethical alignment. Governance processes play a vital role in mitigating these risks by assessing potential harms, monitoring performance, auditing decisions and ensuring compliance with standards throughout the AI lifecycle.

With autonomous agents proliferating across global enterprises — streamlining workflows, reducing human error and boosting productivity — organizations must implement robust governance checks to maintain security. Gartner® predicts that by 2028, 25% of enterprise breaches will be traced to AI agent abuse, from both external and malicious internal actors.¹

In 2025, organizations will prioritize securing AI agents and associated APIs to ensure safe connections with enterprise data sources and automation processes. This shift will drive enterprises to rely on platforms with built-in guardrails to address AI prompts from third-party LLMs and autonomous agents effectively. Gartner predicts that by 2028, 40% of CIOs will demand “Guardian Agents” be available to autonomously track, oversee, or contain the results of AI agent actions.²

The process of building data pipelines and integrating applications across internal systems can be tedious. This often demands deep technical expertise and significant manual effort, creating bottlenecks and limiting agility. It can also be challenging to determine the best approaches for building data pipeline flows and integrating applications, even when using a third-party integration solution like an iPaaS.

To assist developers and integration specialists, many integration solutions are investing in LLM-powered copilot capabilities. These copilots prompt users for the specific integrations they’re looking to build, and once users provide their input, the copilot can automatically generate the integration on their behalf.

AI-powered recipes, also known as AI-led process integration packages (PIPs), are pre-designed, intelligent automation templates that streamline complex business processes by integrating AI capabilities — such as machine learning, natural language processing and predictive analytics — with proven workflows to deliver end-to-end automated solutions. These reusable templates ensure best practices, enhance scalability and improve decision-making through real-time adaptability. By simplifying advanced automation, PIPs help organizations boost agility and achieve operational excellence efficiently.

Some examples of AI recipes include: Supply Chain AI Agent, GenAI Apps for Insurance Claim Processing and Business Insights Agent for Dynamics 365, among others.

Citizen integrators and developers play a pivotal role in democratizing GenAI automation, bridging the gap between business needs and technology execution. With domain expertise, they can envision and develop effective solutions, and by 2025, they will deliver a significant amount of GenAI-infused automation apps.

To support this shift, automation centers of excellence and line-of-business leaders must train and safely provision AI tools while controlling the proliferation of models and copilot platforms.

Citizen developers will accelerate GenAI adoption by rapidly building intelligent automation and agentic apps using low-code/no-code iPaaS platforms — turning business needs into action. By designing workflows and applications that automate tasks, enhancing decision-making and personalizing experiences — all without deep technical expertise — they will shift from passive users to active innovators. Their growing role accelerates digital transformation by enabling scalable, governed and secure AI-powered automation across organizations.

Organizations fatigued by a vast number of applications and legacy systems are keen to have a single platform from which they can orchestrate all their integration and workflow automation needs.

This means successful iPaaS vendors must build a unified solution that reduces tool sprawl, simplifies architecture and accelerates innovation. A consolidated platform combines application, data, API, B2B, event and process integration with centralized governance and reusable assets (aka recipes), enabling faster delivery and lower TCO.

With built-in GenAI and agentic AI, organizations can go beyond automation to intelligent orchestration — where AI agents reason, act and adapt across systems — empowering IT and business users alike to drive autonomous operations and continuous transformation at scale.

The future of integration goes beyond connecting data, applications and people; it’s about intelligent, AI-driven orchestration that adapts, learns and empowers like never before. By embracing agentic AI, robust governance, collaborative copilots, AI-enhanced process integration packages, citizen integrators building GenAI apps and unified iPaaS hubs, organizations can unlock new levels of agility, efficiency and operational excellence. Organizations must act now to stay ahead in this fast-evolving landscape and embrace these trends to unlock unprecedented agility, efficiency and innovation.

Ready to lead the AI-led integration revolution? Discover how Informatica iPaaS uses AI to simplify integration and accelerate your transformation. Contact our experts or request a demo to see it in action.

^1,2Source: Gartner Press Release, Gartner Unveils Top Predictions for IT Organizations and Users in 2025 and Beyond, October 22, 2024. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.