Transforming Enterprise Software: Agentic AI marks a significant evolution in enterprise software, representing the third major shift in how value is created. Following the transition from desktop to web and then from on-premises to cloud, the SaaS market is now valued at $300 billion and is expected to reach $576 billion by 2029. Amazon Web Services (AWS) is positioned to help software providers seize this new opportunity.
The Changing Landscape: Users are increasingly engaging with software through AI assistants and agentic platforms, which operate independently of traditional user interfaces. This shift has altered the buying journey, empowering business users across various functions to make purchasing decisions without solely relying on IT departments. Additionally, autonomous agents are emerging as a new class of users, capable of executing tasks with minimal human intervention.
Why It Matters: Agentic AI expands the addressable market and introduces new distribution channels that operate at machine speed. This transformation does not diminish the value of existing software capabilities; instead, it enhances them by integrating with agentic systems that require reliable and well-described functionalities.
Building on Existing Foundations: The evolution towards agentic SaaS does not necessitate a complete overhaul of SaaS engineering principles. Core requirements such as multi-tenancy, security, and governance remain essential. However, the execution model must adapt to accommodate the autonomous operations of agents, which necessitate complex state management and compliance enforcement.
Leveraging Amazon Bedrock AgentCore: AWS offers the Amazon Bedrock AgentCore platform to facilitate the transition from prototype to production for agentic systems. This platform integrates various functionalities, ensuring that agents operate within defined boundaries while maintaining security and compliance.
Accelerating Adoption: The adoption of agentic AI tools is rapidly increasing, as evidenced by the growth of solutions in AWS Marketplace, which expanded from 900 to over 3,300 offerings in less than a year. Many of these solutions are enhancements of existing SaaS products designed to work within agentic workflows.
Enhancing Discoverability: The success of agentic systems hinges on their discoverability. The Model Context Protocol (MCP) has become the industry standard for making capabilities accessible to agents, similar to how REST APIs revolutionized web applications. Supporting both MCP and the Agent2Agent (A2A) protocol can significantly increase the likelihood of agent adoption.
Commercial Models for Success: Leading SaaS vendors are shifting towards hybrid pricing models that combine predictable revenue from human users with consumption-based pricing driven by agent usage. This approach allows for capturing the true value generated by agents, which traditional per-seat pricing models cannot effectively measure.
Next Steps for Software Providers: AWS is committed to supporting software providers in navigating this transformation. Initiatives such as the AWS Migration Acceleration Program and the Generative AI Innovation Center are designed to facilitate the development and deployment of agentic AI applications.
Conclusion: The next growth market in software is already emerging, and acting swiftly is crucial. Providers are encouraged to explore the learning resources available for building agentic systems on AWS to capitalize on this opportunity.
