International Data Corporation (IDC) recently released its authoritative report titled “China Big Data Platform Market Share, 2024”. According to the report, KeenData has remained in the Top Five of China's private-deployment big data platform market for three consecutive years, demonstrating the company’s strong capabilities and steady growth momentum in the Data and AI domain.

Today, data has become a core asset for enterprises. Large organizations are experiencing surging demand for private-deployment big data platforms, while their needs for AI are also increasing rapidly. At the same time, enterprises are moving toward unified Data and AI management to ensure data consistency, which enables them to achieve secure and controllable data environments through private deployment, and which enables them to extract deeper value from data to drive business innovation and strategic advancement. The rising demand for AI also pushes enterprises to rely on privately deployed big data platforms, which provide high-quality data support for AI model training and inference. According to the IDC report, the scale of China’s on-premises big data platform market grew by 17.21 percent year-on-year in 2024. In scenarios where enterprises have dense data collection devices, high data collection frequency, complex lake or warehouse schema fields and long storage cycles, the demand for high-performance and highly secure private-deployment platforms is becoming even more urgent.

As an enterprise-level leader in Data and AI technologies, KeenData has been deeply engaged in the Data and AI domain for many years, and it has ranked among IDC’s Top Five private-deployment big data platform providers for three consecutive years. Leveraging deep insights into industry digital-transformation needs and strong technological foundations, KeenData has built the full-chain Data and AI integrated platform KeenData Lakehouse, which covers data engineering, model training and inference, the agent factory and intelligent applications. With trusted, intelligent and systematic platform capabilities, KeenData advances the new Data and AI infrastructure and supports large organizations in moving from data-driven operations to intelligent-driven development.

KeenData Lakehouse adopts an AI-Native intelligent-driven architecture, which enables unified Data and AI engineering capabilities. Designed for large organizations to operationalize data and AI systems in a systematic manner, the platform provides foundational infrastructure products which cover data integration, batch and streaming development, multimodal computation, data governance, dataset management, AI model building, training and inference integration, and agent development across the full chain. The platform breaks through traditional architectures in which data and AI are separated. Its self-developed AI-in-Lakehouse technology unifies the lakehouse engine, OLAP data governance and AI technologies, which forms a streamlined and highly efficient All-in-One technical solution.

The self-developed multimodal computation engine completes the entire process from data cleaning to analytical output in a single pipeline, which increases GPU inference throughput by several times. Together with KMI inference acceleration, model quantization and a unified catalog capability similar to Unity Catalog, it achieves cross-modal intelligent governance.

At the same time, KeenData Lakehouse places deep integration of data and AI at its core, which connects the full data-lifecycle processing with the AI-development workflow, and which builds a closed loop that spans data processing, AI development and application deployment. Its core strengths are reflected in three major dimensions:

• It supports multimodal data fusion and governance for text, images, audio and video, which enables efficient processing of diverse data types.
• It provides an agent-centric intelligent architecture which enables a complete loop of perception, cognition, action and evolution.
• It realizes native Data and AI fusion and provides an All-in-One architectural capability, which effectively eliminates fragmentation between Data and AI systems.

Distinct from the loosely coupled model of traditional platforms which adopt externally attached AI capabilities, KeenData Lakehouse is designed with AI-Native principles at its core, which embeds intelligent capabilities deeply into the system’s foundation and which creates an intelligent data infrastructure that possesses autonomous evolution capabilities. To address the pain points of traditional storage-compute integrated architectures, which include low resource utilization and high expansion costs, the platform adopts a storage-compute separation architecture. Data is stored in a unified high-performance storage layer, while compute resources scale elastically on demand, which reduces storage costs by more than 30 percent and which allows compute resources for AI training and inference to be allocated flexibly. This fully eliminates resource contention between large and small workloads and establishes a solid foundation for the implementation of intelligent closed-loop capabilities.

With years of technological accumulation, KeenData has obtained more than 170 core patents in Data and AI related domains. It has built industry-leading foundational technologies which include lakehouse integration, unified multi-architecture management, multimodal data processing, DataOps, Data Fabric and Data Mesh. These capabilities have supported infrastructure construction for Data and AI across more than twenty industries and nearly two hundred large domestic and international organizations, including Fortune 500 companies such as Sinopec, China Unicom, China Telecom, China CITIC Bank, AEON Group, China FAW and Sany Group, all of which build their Data and AI foundations on the KeenData Lakehouse platform.

In a data-intelligence infrastructure project for a major central state-owned enterprise, the unified data center and governance framework were built on KeenData’s integrated Data and AI platform, which enabled efficient storage and computation for newly generated big data. By further aligning with business scenarios, the platform provided hundreds of service capabilities for planning, engineering decision-making and integrated engineering platforms. With AI which drives the management and sharing of all business and research data, the project accelerated the transformation of data into digital resources and assets, which enhanced operational efficiency and achieved integrated operations across the business chain. This serves as an important milestone which marks the group’s transition into a new stage of highly coordinated intelligent operations.

In a data-infrastructure project for a municipal data bureau, the integrated Data and AI platform from KeenData enabled non-algorithm teams to prepare data through the corpus-processing layer, and to complete model training, fine-tuning and deployment with zero code on the intelligent-support layer. They were then able to invoke APIs or build agents which transformed large models into commercial products rapidly. Meanwhile, the platform connected multimodal data with industry-specific intelligent agents across the entire chain, covering the full lifecycle from data to models to applications, which supported rapid development of data products for targeted scenarios. Through standardized SDKs and plugin interfaces which allow third-party corpus-processing tools to integrate in a plug-and-play manner, the project accelerated the deployment of large models in urban-service scenarios and promoted AI technologies which serve city governance and industrial upgrading effectively.

In a Digital Government 2.0 project for another municipality, a trusted data space was built on KeenData’s integrated Data and AI platform, which provided a new generation of smart-city big data infrastructure and trusted data environments. This enabled comprehensive digital, intelligent and refined management and services across government, public livelihood and industrial domains, while ensuring that data resources were deeply explored and quickly applied. The project established the first centralized data-infrastructure support platform on the government side and explored effective mechanisms for providing public-sector data to enterprises.

Having ranked among IDC’s Top Five private-deployment big data platform providers for three consecutive years, KeenData continues to lead the Data and AI market in China with strong capabilities. Looking ahead, KeenData will continue to deepen native Data and AI integration, which enables trusted, intelligent and systematic platform capabilities to build an autonomously evolving intelligent data foundation. This will drive the new Data and AI infrastructure forward and inject sustained momentum into the high-quality development of the digital economy.