Rate Card Benchmarking

The AWS ecosystem in the U.S. is undergoing a significant transformation, with service providers increasingly focusing on delivering advanced, value-driven cloud capabilities. This evolution is marked by substantial investments in emerging technologies, particularly generative AI (GenAI), agentic AI and data analytics, alongside continued emphasis on large-scale cloud migration, modernization and enterprise application support. Providers are developing highly specialized, often industryspecific solutions, and deepening their strategic alignment with AWS to deliver measurable business outcomes for their clients. The market is characterized by a strong drive towards innovation, operational efficiency and a refined approach to cloud adoption, moving beyond basic infrastructure provision to holistic, AIinfused digital transformations.

Contact centers are rapidly evolving from traditional, transactional hubs focused on query resolution and support into strategic CoEs that play a pivotal role in driving business growth. This evolution is fueled by advanced technology that is redefining the scope and capabilities of contact centers, pushing enterprises to keep pace with the rapid industry changes. KPIs are swiftly shifting from simply measuring resolved queries to proactively identifying opportunities, strengthening client relationships and shaping brand perception. As contact centers ascend the value chain, they are becoming essential drivers of loyalty, innovation and long-term business success.

Agentic AI is emerging as a transformative force that redefines how organizations think, decide and act. Unlike traditional automation or GenAI, agentic AI systems are designed to autonomously execute business processes, dynamically pursue goals and collaborate across workflows. This shift to agentic AI marks a new chapter in enterprise intelligence, where decision velocity, contextual awareness and orchestration become the cornerstones of competitive advantage. Agents are capable of breaking down objectives into smaller tasks, planning execution strategies, interacting with multiple applications, collaborating with other agents and adapting to feedback. In this sense, agentic AI is designed to function more like a digital employee than a static tool. Although still an emerging market, with experimentation outpacing scaled adoption, agentic AI has already begun to shape the future of how organizations think about productivity, decision-making and business transformation.

In the U.S., enterprise service management (ESM) is increasingly seen as a strategic enabler of digital business, with a strong emphasis on integrating human-centered design, intelligent automation and digital strategy. This approach aims to transform ESM into the connective tissue of the modern enterprise that is adaptive, anticipatory and persistently value-driven. It has emerged from the shadow of ITSM and is increasingly recognized for its scope of functionality and strong value offered. The discipline helps enterprises speed up digital transformation from 2.0 (where they are and what they know) to 3.0 (where they aspire to be). ESM is driving this by enabling enterprises to bring traditional IT operations, disparate business services (such as CRM, inventory) and cross-functional services (HR, finance, facilities management and more) into a single, orchestrated service environment. Service providers have made impressive gains in this regard as they have notably improved their ESM architecture vision to enable business value. This mature approach to delivering business value has strengthened providers’ ability to engineer core elements that support continuous AI integration and support, multicloud execution and other features of modern systems. This fits well with how many U.S. enterprises are trying to transform their operations.

The global medical devices sector is at an inflection point in 2025, where the convergence of technology, regulation and patient expectations is reshaping how products are designed, approved and monitored. The industry is experiencing heightened digital adoption across three critical areas: digital engineering and product development; regulatory compliance, strategy and quality assurance; and post-market digital enablement.