In July 2026, the international research firm IDC released its in-depth industry report, The Rise of New Enterprise AI Platforms, which provides a comprehensive analysis of the domestic trend toward large-scale AI agent adoption, the technology roadmaps of mainstream vendors, and the competitive landscape. Leveraging its native AI-in-Lakehouse architecture and integrated Data&AI full-stack capabilities, KeenData was featured as a core representative vendor in the report, establishing itself as a leader in China's emerging enterprise AI platform sector and a key enabler for enterprises building AI data infrastructure.

The IDC report clearly highlights that data quality and data semanticization are the core bottlenecks determining the success of enterprise AI implementation. Enterprise data must go beyond mere visualization—AI must be able to comprehend the underlying business logic. This industry assessment aligns closely with KeenData's long-held conviction: computing power is the engine that drives AI, algorithms are the soul of intelligence, and data is the essential fuel for value realization. Only when computing power, algorithms, and data are deeply integrated and work in concert can the data assets and business knowledge accumulated by enterprises over the years be transformed into tangible productivity, thereby unlocking the critical path for large-scale AI adoption. Based on this underlying industrial logic, KeenData has systematically built a comprehensive AI data infrastructure product portfolio spanning models, data, and computing power.

Unlike traditional big data vendors that simply add AI capabilities on top of existing platforms, KeenData has from the ground up built its entire product suite on an AI-native architecture, naturally suited to the demands of the AI era. KeenData's lakehouse data intelligence platform, KeenData Lakehouse, leverages its proprietary AI-in-Lakehouse native architecture to natively integrate the lakehouse engine, multimodal computing engine, and training-inference acceleration engine, achieving deep synergy among data governance, high-quality dataset construction, model iteration, and intelligent applications. This empowers government and enterprise users with an autonomous, continuously evolving digital intelligence core. The platform boasts 97% self-developed core code and over 200 technology patents, ensuring full technological independence.

According to IDC report data, enterprise AI budgets have shifted from "innovation experiments" to "recurring operational expenditures," yet 95% of enterprises have yet to see measurable ROI. This underscores that the ability of enterprise AI platforms to generate tangible business value for customers is the core metric of a vendor's overall strength.

KeenData believes the key to overcoming AI adoption challenges lies in strengthening the data foundation. With its AI-in-Lakehouse intelligent architecture as the technological base, KeenData efficiently transforms data into AI fuel, accelerating the integration of AI as a core business engine. Leveraging its full-stack technology capabilities to support AI implementation, KeenData has served over 300 large organizations across energy, manufacturing, government, and finance, delivering replicable and scalable industry-specific AI data solutions.

Energy Industry: Builds a full-link AI data infrastructure covering data aggregation, governance, development, services, and AI applications, supporting real-time scheduling decisions and carbon emission accounting.

Manufacturing Industry: Establishes "vehicle-cloud" data connectivity, enabling full lifecycle traceability of vehicle identification numbers and supporting AI applications such as intelligent customer service and vehicle profiling.

Government Sector: Creates city-level trusted data spaces and high-quality dataset platforms, facilitating public data authorized operations and AI model training.

This recognition as an IDC benchmark vendor in the new enterprise AI platform space serves as both authoritative validation of KeenData's technological strength and industrial implementation capabilities in AI data infrastructure, and a testament to the company's long-term commitment and strategic focus. Looking ahead, KeenData will continue to deepen its presence in the enterprise AI data infrastructure sector, concentrating on core capabilities such as AI data foundations, high-quality datasets, and AgentOps full lifecycle management, with ongoing iteration and upgrades to empower AI agent applications across thousands of industries.