Cloudera Powers the Agentic AI Era with Cloudera Anywhere Cloud

In August 2026, Cloudera announced Cloudera Anywhere Cloud, which is a new hybrid data and AI platform designed to help enterprises build and operate production AI applications across various multi-cloud and on-premises environments while retaining control over where their data resides.

The platform comes as enterprises increasingly look to move AI projects from experimentation into production but face fragmented infrastructure, long upgrade cycles and growing data sovereignty requirements. Cloudera also stated that recent research found that 73% of IT leaders believe infrastructure performance constraints have hindered operational initiatives, highlighting a barrier to scaling AI across distributed environments.

Cloudera Anywhere Cloud is also designed to provide a common cloud-like operating experience across public clouds, sovereign infrastructure and private data centers. Rather than requiring enterprises to move data into a particular environment, the platform is intended to allow workloads to run where business, regulatory or economic requirements dictate. The platform also supports self-service deployment through marketplace blueprints. For AI workloads, the platform’s agentic copilot can translate plain-language requests into data workflows or infrastructure-management actions. The objective is to reduce the operational effort involved in provisioning and managing distributed data environments, while retaining enterprise governance controls.

For organizations experimenting with AI agents, the idea is that the data infrastructure underneath those agents becomes as important as the models themselves. Agents require access to enterprise information while operating within security, compliance and sovereignty boundaries.

Impact on the ICT Market

As enterprises struggle to balance rapid innovation with security and risk management, high-value AI initiatives often stall long before reaching production. Cloudera Anywhere Cloud addresses this challenge by bringing push-button simplicity and cloud-native agility directly to enterprise data, wherever it resides. Featuring a simpler, outcome-driven interface, it allows teams to focus on solving urgent business use cases and activating AI rather than navigating software mechanics. 

This platform is also built on a modular architecture that enables organizations to deploy, govern, and scale independent AI and data services across public clouds, sovereign infrastructure, and private data centers through a single control plane. By eliminating disruptive migrations and proprietary vendor lock-in, organizations can move from experimentation to production faster while maintaining unified governance and digital sovereignty across their entire data estate.

Impact on the Agentic AI in Enterprise Operations Market

The global agentic AI in enterprise operations market is driven by the rise of AI-powered agents that adapt, learn, and act within enterprise ecosystems. The market is experiencing significant growth, led by rapid digital transformation, increasing demand for autonomous decision-making for business activities, and increasing integration of AI with enterprise software.

According to Precedence Research, connectivity and compatibility with ERPs, CRMs, and Supply Chain Management systems are important accelerants for the adoption of AI tools in enterprises, especially when the tool works natively on the enterprise information systems that exist, so the enterprise can realize value quickly. Organizations are under pressure to reduce costs, reduce mistakes in processes, and improve return on investment. Agentic AI automates repetitive, resource-consuming tasks with greater accuracy and smarts that improve efficiencies and free up employees to do the strategic portions of their jobs.

The agentic AI in the enterprise operations market is driven by the shift to hyper-personalization at scale. Unlike legacy automation approaches, agentic AI can learn user preferences dynamically, autonomously reconfigure workflows, and respond contextually across various enterprise functions. The growth of agentic AI is, to a certain extent, tied to the growing demand for organizations to make autonomous decisions. Agentic AI offers organizations the potential for lower manual intervention in tasks, contributory workflows, and acquisition agility in open environments. Initial applications that can be observed are real-time uses of agentic AI, such as AI-driven intelligent customer service agents, financial risk assessments, autonomous supply chain and logistics platforms, and workflows.

Impact on the Cloud Infrastructure Services Market

The global cloud infrastructure services market size accounted for USD 166.51 billion in 2025 and is predicted to increase from USD 194.82 billion in 2026 to approximately USD 766.57 billion by 2035, expanding at a CAGR of 16.50 % from 2026 to 2035.

According to Precedence Research, the market is driven by growing adoption of artificial intelligence, increasing demand for scalable computing, and rising enterprise digital transformation. Cloud providers invest heavily in security measures and compliance certifications. This enhances data protection, access control, and regulatory compliance, addressing concerns related to the security of sensitive information and ensuring adherence to industry-specific regulations.

The expanding landscape of edge computing is also helping in creating significant opportunities for the cloud infrastructure services market. As edge computing gains prominence, there is a growing need for decentralized infrastructure that brings computational power closer to data sources. Cloud infrastructure services can now capitalize on this trend by developing solutions tailored to edge environments. Offering scalable and flexible resources for processing data at the edge allows businesses to optimize performance, reduce latency, and enhance overall efficiency. Cloud providers that strategically position themselves to meet the demands of edge computing scenarios can unlock new revenue streams and cater to industries requiring real-time data processing capabilities.

Expert Opinion

"Enterprise AI has outgrown the public cloud-only model," said Leo Brunnick, Chief Product Officer at Cloudera.

"Organizations shouldn't have to choose between innovation and control. Cloudera Anywhere Cloud brings the speed and flexibility of the cloud directly to enterprise data. This allows enterprises to accelerate AI initiatives while maintaining complete ownership of their data and intellectual property, all while optimizing the cost of their infrastructure, tokens, and business models."