Cloud-Based Enterprise AI Platforms: Competitive Landscape Assessment
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Cloud-based enterprise AI platforms are becoming a central foundation for how organizations deploy artificial intelligence across applications and business processes. As enterprises look to operationalize predictive AI, generative AI, and AI agents at scale, demand is rising for platforms that simplify development while supporting governance, security, and enterprise-grade deployment.
These platforms bring together tools that enable AI experts, data scientists, and citizen developers to build, train, deploy, and manage machine learning models and AI agents in cloud environments. Increasingly, they also support large language model (LLM) integration, low-code and no-code development, and responsible AI practices such as auditability and model governance.
GlobalData’s Cloud-Based Enterprise AI Platforms Market Analysis report delivers a detailed assessment of this rapidly evolving market. By combining competitive analysis, vendor benchmarking, and evaluation of platform capabilities, the report provides a clear view of how enterprise AI platforms are evolving and how organizations can navigate vendor selection and procurement decisions.
Scope
This report provides an end-to-end assessment of cloud-based enterprise AI platforms, including:
Coverage of enterprise AI platforms spanning predictive AI, generative AI, and agentic AI
Evaluation of tools supporting the building, training, tuning, deployment, and management of customized machine learning models
Assessment of platform support for AI agents and large language model integration
Analysis of capabilities for responsible and ethical AI, including audit trails and model tracking
Vendor benchmarking using six buying-criteria ratings and product scores
Detailed evaluation of 10 rated vendors
Incorporation of key 2025 platform developments, including Azure AI Foundry Agent Services GA, AWS Bedrock AgentCore preview, Google’s A2A protocol, IBM ACP and Agent Builder, Salesforce Agentforce and AgentExchange, DataRobot Agent Workforce, and Dataiku AI Agent Build
How industry leaders are using this report
Enterprise technology leaders, procurement teams, and AI strategy teams use this report to:
- Understand the current competitive landscape for cloud-based enterprise AI platforms.
- Compare vendor capabilities across generative AI, agentic AI, and traditional machine learning.
- Evaluate platform roadmaps and recent developments shaping enterprise AI adoption.
- Assess governance and responsible-AI features critical for large-scale deployment.
- Support informed procurement and vendor-selection decisions.
Reasons to Buy
This report enables you to:
- Bridge enterprise AI strategy and procurement by linking market drivers to concrete buyer recommendations.
- Compare vendor capabilities across LLM access, AI agent tooling, and platform extensibility.
- Assess governance, responsible-AI tooling, and professional-services strength when evaluating vendors.
- Understand sovereignty and edge deployment options relevant to global enterprises.
- De-risk vendor selection through structured comparisons of partner ecosystems and platform roadmaps.
Who should buy this report
- Enterprise IT and Digital Transformation Leaders
- Chief Data, AI, and Analytics Officers
- AI Platform and Architecture Teams
- Technology Procurement and Vendor Management Teams
- Strategy, Market Intelligence, and Research Teams
- Consultants and Industry Advisors
IBM
Amazon
Salesforce
Baidu
Alibaba
DataRobot
Dataiku
Huawei
NVIDIA
Table of Contents
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