Why Cloud‑Native Data Lakes Are the Future of Big Data Strategy

Alibaba Cloud has released the "China Cloud‑Native Data Lake Application Insight" whitepaper, emphasizing that cloud‑native data lakes are the inevitable choice for big‑data solutions as enterprises accelerate cloud transformation.

Concept Definition

Data lakes are innovative solutions for big‑data scenarios, and cloud‑native architecture is the inevitable deployment model, offering unified data assets, low‑cost resource usage, high‑performance computing, and agile innovation.

Market Status

In 2020, the cloud‑native data lake market in China (including ecosystems) reached 12.4 billion CNY, with an expected compound annual growth rate of 39.7% over the next three years.

Competitive Landscape

The Chinese cloud‑native data lake market is still in its early stages; few independent vendors provide end‑to‑end solutions, and competition is concentrated among leading cloud providers.

Application Status

Currently, cloud‑native data lakes are primarily used in the broader internet sector (40.7%) and traditional industries’ internet scenarios such as government, finance, manufacturing, healthcare, and automotive, with future expansion into more high‑value big‑data sectors.

Selection Recommendations

When planning digital transformation, enterprises should build a unified data foundation while ensuring openness, agility, and innovation of data‑technology (DT) capabilities. Choosing a cloud‑native data lake requires evaluating internal capabilities and considering the service provider’s coverage and development roadmap.

Trend Outlook

Against the backdrop of cloud‑native and big‑data technologies, cloud‑native data lakes are emerging as the next‑generation productivity tool for enterprises, with the market poised for rapid growth. Vendors will need to collaborate with developers, ISVs, and system integrators to continuously refine solutions in enterprise production environments.