For years, Robotic Process Automation (RPA) was viewed by many enterprise leaders as a tactical tool, a quick fix for back-office inefficiencies. Gartner's latest analysis, however, delivers a far more strategic verdict: RPA is not just optimizing processes, it is fundamentally reshaping and accelerating the entire enterprise software development market. This shift is so profound that RPA revenue is now outpacing the growth of the broader infrastructure software market, signaling a critical inflection point for CIOs and CTOs globally.
The era of simple, deterministic bots is over. We are now in the age of Hyperautomation and Agentic AI, where RPA acts as the foundational layer for building truly intelligent, resilient, and composable enterprise applications. For organizations serving the high-compliance, high-volume sectors like Finance, Healthcare, and Manufacturing, this isn't a trend to observe, but a mandate to act upon. The question is no longer if you will adopt RPA, but how you will integrate it into your core software strategy to maintain a competitive edge.
Key Takeaways: The Executive Summary
- 💡 RPA is a Strategic Software Driver: Gartner data shows RPA revenue is growing faster than the overall enterprise infrastructure software market, validating its role as a core component of digital transformation, not just a cost-saving tool.
- 🚀 The Shift to Agentic Automation: The market is rapidly moving from simple, rule-based RPA to Agentic AI, where intelligent software agents can perceive, reason, and act autonomously, demanding a new level of AI-enabled custom software integration.
- ✅ Hyperautomation is the New Standard: Organizations must adopt a Hyperautomation strategy, combining RPA with AI, process mining, and low-code platforms to automate 20% of business processes by 2025, as predicted by Gartner.
- 🛡️ Expertise is Non-Negotiable: Successfully navigating this complexity requires a partner with verifiable process maturity (CMMI Level 5) and 100% in-house, AI-enabled expertise to build resilient, scalable automation platforms.
The Gartner Verdict: Why RPA is Outpacing Enterprise Software Growth
The most compelling evidence for RPA's transformative power comes directly from the world's leading technology analysts. Gartner's research confirms that Robotic Process Automation is no longer a niche technology; it is a primary growth engine for the enterprise software sector.
The Hard Numbers: $3.8B in 2024 and the Path to $7B+
According to Gartner's 2025 analysis, the RPA market generated approximately $3.8 billion in revenue in 2024, representing a healthy 18% year-over-year (YoY) increase. Crucially, this growth rate significantly outpaced the broader infrastructure software market's growth of 10.7%. This disparity is the clearest signal that enterprises are prioritizing automation as the fastest route to operational efficiency and digital resilience.
Furthermore, the market is projected to reach an estimated $7.01 billion by 2025. This exponential trajectory is driven by a fundamental realization among CIOs: the fastest way to unlock value from existing, often complex, legacy systems is not always a full-scale rip-and-replace, but intelligent automation.
The Strategic Shift from RPA to Hyperautomation
The boom isn't just about more bots; it's about smarter, integrated automation. Gartner highlights the push toward Hyperautomation, which is the coordinated use of multiple technologies-including RPA, process mining, AI, machine learning (ML), and low-code platforms-to automate as many business and IT processes as possible. Gartner predicts that Hyperautomation will impact 20% of business processes by 2025.
This means that a successful RPA strategy is now inseparable from a comprehensive integrating automation in software development strategy. It requires developers to think beyond simple task recording and toward creating a unified, automated ecosystem.
Table: The Evolution of Enterprise Automation
| Feature | Traditional RPA (2018) | Hyperautomation (Current) | Agentic Automation (2025+) |
|---|---|---|---|
| Core Technology | Deterministic Bots | RPA + AI + Process Mining | Agentic AI + RPA + LLMs |
| Task Capability | Repetitive, Rule-Based Tasks | End-to-End Workflows, Unstructured Data | Autonomous Decision-Making, Goal-Seeking |
| Development Model | Point Solution | Low-Code/Citizen Development | AI-Augmented Development |
| Primary Benefit | Cost Reduction | Operational Efficiency, Scalability | Strategic Agility, Competitive Advantage |
The New Mandate: RPA as the Core of Enterprise Software Development
For enterprise software developers and architects, RPA is no longer an IT operations concern; it is a design principle. The boom signifies that the future of enterprise software is not a monolithic application, but a highly composable, AI-augmented platform.
RPA as the Bridge to Legacy Modernization
One of the most critical challenges for large organizations is the 'legacy nightmare.' Core systems often run on decades-old technology, yet contain mission-critical data. RPA provides a non-invasive, high-ROI solution to this problem. By acting as a digital bridge, RPA bots can interact with legacy UIs and databases, extracting and inputting data to feed modern, cloud-native applications. This allows for a phased, lower-risk digital transformation.
Mini-Case Example: A major financial services client (Enterprise Tier) used our RPA POD to automate data reconciliation across three separate legacy mainframe systems and a new cloud ERP. This integration, which would have taken 18 months of complex API development, was achieved in 4 months with RPA, resulting in a 99.9% data accuracy rate and $2.5 million in annual savings.
The Rise of Agentic AI and Probabilistic Automation
The next frontier, as identified by Gartner, is Agentic AI. This involves intelligent software agents that can not only follow rules but can also reason, plan, and execute complex, multi-step goals autonomously. This is a massive leap from the deterministic bots of the past.
Gartner predicts that by 2027, 60% of RPA vendors will embed 'computer use' capabilities, moving from simple screen scraping to probabilistic UI automation. This requires custom software development to integrate sophisticated AI models (like those CIS specializes in) directly into the automation workflow. This is where AI to automate custom software development processes becomes essential, blending the precision of RPA with the intelligence of AI.
Is your enterprise automation strategy built for yesterday's bots?
The shift from simple RPA to Agentic AI and Hyperautomation is a strategic challenge. Don't let your digital transformation stall on legacy thinking.
Partner with a CMMI Level 5 expert to build your future-ready automation platform.
Request Free ConsultationStrategic Imperatives: How to Capitalize on the RPA Boom
For C-suite executives, the RPA boom is a clear signal to re-evaluate their technology partnerships and internal capabilities. Capitalizing on this growth requires a strategic, not tactical, approach to automation.
Re-Architecting for Composable Enterprise
The new enterprise architecture must be composable, allowing for rapid assembly and disassembly of capabilities. RPA and low-code platforms are the glue that holds this architecture together. This requires a development partner who can deliver not just the RPA bots, but the entire Enterprise Software Development Company ecosystem, from cloud engineering to API integration and security.
Link-Worthy Hook: According to CISIN research, the shift to Agentic Automation requires a 100% in-house, CMMI Level 5 partner to manage the new complexity-a model few can match. Our Robotic-Process-Automation - UiPath Pod is specifically structured to deliver this integrated, high-governance solution.
The Talent Gap: Why Expert PODs are Critical
The complexity of Hyperautomation-integrating RPA, AI, process mining, and custom code-has created a massive talent gap. Traditional IT teams often lack the specialized skills to manage this convergence. This is why our model of dedicated, cross-functional PODs (Teams of Experts) is essential for Enterprise and Strategic clients.
Our 100% in-house, on-roll employee model ensures the deep, institutional knowledge required for long-term bot maintenance and complex system integration, offering clients peace of mind with a free-replacement guarantee for non-performing professionals.
Checklist: 5 Strategic Steps for RPA-Driven Digital Transformation
- ✅ Establish a Center of Excellence (CoE): Move beyond departmental RPA to a centralized, enterprise-wide automation strategy governed by a CoE.
- ✅ Invest in Process Mining: Use tools to identify the highest-ROI automation opportunities, ensuring you automate the right processes first.
- ✅ Adopt an AI-First Mindset: Prioritize the integration of AI/ML for handling unstructured data and complex decision-making within your RPA workflows.
- ✅ Choose a CMMI-Compliant Partner: Ensure your development partner has the process maturity (like CIS's CMMI Level 5) to deliver scalable, secure, and compliant automation.
- ✅ Focus on Agentic Automation: Begin planning for the shift from deterministic bots to intelligent, goal-seeking agents to stay ahead of the 2025 technology curve.
2025 Update: The Agentic Automation Inflection Point
The core message from Gartner is clear: the RPA market is not slowing down; it is evolving into something far more powerful. The year 2025 marks the definitive inflection point where automation moves from being a tool for efficiency to a core driver of business strategy. The focus is now on Agentic Automation, where systems can autonomously plan and execute tasks, significantly reducing the need for human intervention in complex, end-to-end processes.
This trend is evergreen. As technology advances, the scope of what can be automated will only expand. The foundational principles-integrating RPA with AI, prioritizing security, and demanding CMMI-level process maturity-will remain the blueprint for success for years to come. Organizations that treat RPA as a strategic investment in their future operating model, rather than a one-off project, will be the ones to lead their industries. Explore our comprehensive Robotic Process Automation Solutions to see how we are building these future-ready systems today.
Conclusion: Your Next Move in the Automation Revolution
Gartner's forecast is a wake-up call: Robotic Process Automation is the undeniable force booming the enterprise software development market. The strategic imperative is to move beyond simple task automation and embrace the complexity of Hyperautomation and Agentic AI. This requires a partner who understands the convergence of custom software, AI, and enterprise-grade security.
At Cyber Infrastructure (CIS), we have been at the forefront of this digital evolution since 2003. With 1000+ in-house experts, CMMI Level 5 appraisal, and a Microsoft Gold Partner status, we deliver the secure, AI-Enabled solutions that Fortune 500 companies and ambitious enterprises rely on. Our dedicated RPA and AI PODs are engineered to transform your legacy challenges into a competitive advantage, ensuring your automation strategy is not just current, but future-winning.
This article was reviewed and validated by the CIS Expert Team, including insights from our Enterprise Architecture and AI/ML leadership.
Frequently Asked Questions
What does Gartner mean by RPA 'booming' the enterprise software market?
Gartner's analysis indicates that the revenue growth rate of the Robotic Process Automation (RPA) software market is significantly higher than the growth rate of the overall enterprise infrastructure software market. This means enterprises are allocating a disproportionately large share of their new software spending to RPA and related automation technologies, making it a primary driver of market expansion.
What is the difference between RPA and Hyperautomation, according to Gartner?
Traditional RPA is a single tool used for automating repetitive, rule-based tasks. Hyperautomation, as defined by Gartner, is an end-to-end business-driven approach that combines multiple advanced technologies-including RPA, Artificial Intelligence (AI), Machine Learning (ML), process mining, and low-code platforms-to automate as many processes as possible across the enterprise. It is a holistic, strategic framework, not just a tool.
How does Agentic AI change the role of RPA in software development?
Agentic AI represents the next evolution. While traditional RPA follows explicit, deterministic rules, Agentic AI-enabled bots can perceive, reason, and act autonomously to achieve complex business goals. This shift requires software developers to build more sophisticated, probabilistic automation platforms that integrate AI models for handling unstructured data and making real-time decisions, moving beyond simple task execution to true intelligent automation.
Why is CMMI Level 5 compliance important for an RPA partner?
RPA bots, especially in Hyperautomation environments, interact with mission-critical systems. CMMI Level 5 (Capability Maturity Model Integration) ensures your partner follows the highest standards for process maturity, quality, and risk management. This is critical for building scalable, secure, and resilient bots that won't 'break' easily, ensuring high ROI and compliance, particularly in regulated industries like FinTech and Healthcare.
Ready to move from tactical RPA to strategic Hyperautomation?
The future of enterprise software is intelligent automation. Don't settle for basic bots when you can deploy an AI-enabled, CMMI Level 5 engineered automation platform.
