Global Public Transport Time Series Data Market Growth (Status and Outlook) 2025-2031

The global Public Transport Time Series Data market size is predicted to grow from US$ 480 million in 2025 to US$ 1319 million in 2031; it is expected to grow at a CAGR of 18.4% from 2025 to 2031.

Public transport time series data refers to the data related to public transport recorded in time order, which reflects the changes of various phenomena or events in the process of public transport operation over time. These data usually include the real-time location of public transportation such as buses, subways, trains, arrival time, departure time, operating speed, travel time and other information. Timing data can be single-dimensional, such as the location of a bus at different points in time, or multi-dimensional, such as recording the location and speed of multiple buses simultaneously.

United States market for Public Transport Time Series Data is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for Public Transport Time Series Data is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for Public Transport Time Series Data is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key Public Transport Time Series Data players cover Citymapper, Intel, Transit, Cubic Corporation, GTFS, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LPI (LP Information)' newest research report, the “Public Transport Time Series Data Industry Forecast” looks at past sales and reviews total world Public Transport Time Series Data sales in 2024, providing a comprehensive analysis by region and market sector of projected Public Transport Time Series Data sales for 2025 through 2031. With Public Transport Time Series Data sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Public Transport Time Series Data industry.

This Insight Report provides a comprehensive analysis of the global Public Transport Time Series Data landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Public Transport Time Series Data portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Public Transport Time Series Data market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Public Transport Time Series Data and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Public Transport Time Series Data.

This report presents a comprehensive overview, market shares, and growth opportunities of Public Transport Time Series Data market by product type, application, key players and key regions and countries.

Segmentation by Type:
Real-time Query
Real-time Prediction
Data Analysis
Data Processing

Segmentation by Application:
Intelligent Traffic Management
Smart Travel
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Citymapper
Intel
Transit
Cubic Corporation
GTFS
Google
Deutsche Bahn
Swiftly
Wikiroutes
Optibus
HERE Technologies
TomTom
YITUOTONG Technology
Amap
Baidu
Alibaba Corporation
MetaLight
Sogu Internet Technology
Sudi Intelligent System
Shanghai Suishenxing Smart Transportation Technology

Please note: The report will take approximately 2 business days to prepare and deliver.