A report released today by Dida Inc., titled "2025 Workplace Ride-Sharing User Portrait and Experience Insights," provides a detailed look into the user demographics and consumption preferences of workplace ride-sharing, based on Dida's extensive ride-sharing data and a survey of nearly ten thousand users.

The report indicates that commuting to and from work is the primary scenario for ride-sharing, with 55% of passengers and 82.1% of car owners selecting this purpose. For passengers, the second to fourth most common scenarios are travel to and from transportation hubs (35.6%), trips to and from hometowns (32%), and personal errands (31.8%); for car owners sharing empty seats, the corresponding scenarios are personal errands (45.8%), trips to and from hometowns (38.2%), and travel to and from transportation hubs (19%).

In terms of age, ride-sharing passengers are predominantly concentrated in the 20-25, 26-30, and 31-40 age brackets, accounting for 16.7%, 17.7%, and 28.8% respectively. Furthermore, those under 20 years old constitute 2.8%, meaning the combined proportion of passengers under 25 is 19.5%, highlighting the post-00s generation as a significant user group. Approximately 10% of the surveyed passengers identified as university students. Conversely, ride-sharing car owners are mainly in the 31-40 and 41-50 age groups, comprising 43.9% and 30.4% respectively, totaling 74.3%.

From 2019 to 2025, the proportion of newly certified vehicles on the Dida platform that were one year old or less, and two years old or less, has shown an overall upward trend. Specifically, in 2025, the share of newly certified vehicles aged one year or less increased sixfold compared to 2019, while the share of vehicles aged two years or less grew more than fivefold.

The report also ranked the total completed commuting trips by certified car owners from January to October 2025 by brand. The top 10 new energy vehicle brands are: Tesla, XPeng, Leapmotor, Nio, Zeekr, Li Auto, Harmony Intelligent Driving Alliance (HIMA), IM Auto, Ledao, and Xiaomi.

According to Dida's big data, intercity ride-sharing commuting orders are larger in scale and density primarily in major urban clusters such as the Pearl River Delta, Yangtze River Delta, Beijing-Tianjin-Hebei region, Shandong Peninsula, and Chengdu-Chongqing area. Regarding which cities have users with the highest frequency of ride-sharing for commuting, the report lists the top five as Shanghai, Dalian, Qingdao, Tianjin, and Shenyang.