AI deployments are soaring despite the complexities of today’s hybrid landscape.
A significant number of businesses generate revenue from digital apps, which are increasingly supported by AI and machine learning. Despite evolving app security and delivery solutions, process complexity still prevents organizations that deploy AI models from reaching their full potential.
Download the report and learn how to thrive in complexity, secure apps and AI models, and unleash automation to drive business success.
More than 600 IT decision makers at global organizations responded to our 11th annual survey to share their current progress, most persistent concerns, and plans for the near future as their businesses evolve. Key findings include:
In a landscape populated by multiple clouds and deployment models, challenges persist for organizations trying to do right by apps. This leads to complexity that impacts everything from consistent app security to automation and vendor consolidation.
Digital transformation has created an API explosion, making security a top concern for organizations large and small. An individual API can have hundreds of endpoints, and each one must be secured to protect apps and their valuable data.
With most organizations deploying AI models, security is a top concern. Many enterprises are ill-equipped to handle the massive amounts of data, complex traffic patterns, and new attack vectors that are inherent in AI applications.
Despite its potential, app delivery automation isn't utilized by more than half of organizations. Along with budget limitations, complex vendor landscapes with bespoke configurations make automation a difficult and time-consuming task.
Discover the implications of these and other fascinating results on current approaches to app delivery and security, the near-term prospects for implementing effective AIOps, and perhaps even the future of app delivery management consoles.
Reading the 2025 State of Application Strategy Report can help IT leaders:
Evaluate strategies to protect the business and keep pace with global digital leaders—or at least avoid falling too far behind.
Support IT priorities and budgets with data.
Plan for the challenges and changes likely to occupy IT decision makers over the next several years.
Explore how AI-driven optimization can enhance app delivery and security, ensuring peak performance in an increasingly complex environment.