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recently, idc, a leading global it market research and consulting company, released the report "china's big data platform market share, 2023: the true arrival of the digital intelligence integration era" (doc# chc51598124, august 2024). the market share of private deployment of transring technology's big data platform has the fastest growth rate, and it has maintained the first place in the market share of professional manufacturers for four consecutive years.

lu yanxia, ​​research director of idc china, said: "transring is one of the few companies in the big data field that focuses on basic software and has sustained and stable development. its many years of practical cases in the fields of finance, government affairs, energy, telecommunications, transportation, manufacturing, etc. have also helped it to build solid and stable big data products. it can be said that innovative and stable product capabilities and industry customer service capabilities are important reasons for customers to choose transring."

the report points out that "in 2023, the scale of china's big data market will reach rmb 17.93 billion, an increase of 24.6% compared with 2022. among them, the scale of the private deployment market will reach rmb 10.71 billion, accounting for 59.3% of the total market scale, an increase of 13.6% compared with 2022. in this market tracking, transwarp technology also has the fastest growth rate."

real-time data processing, lake-warehouse integration, and large models have become key driving forces

the report points out that "real-time data processing, streaming data processing, large language models and other applications of artificial intelligence, as well as the growing demand for better and more accurate data management, are key drivers of this market." at the same time, "more and more companies are actively building lake-warehouse integration. organizations merge data warehouses and data lakes into one insight system, which has the advantages of improving responsiveness, saving costs and obtaining richer insights. this not only provides a good basic environment for data governance, but also helps organizations better implement ai, machine learning and generative ai."