Micro Mobility Data Analytics Market Report 2026

The micro mobility data analytics market size has grown rapidly in recent years. It will grow from $2.99 billion in 2025 to $3.58 billion in 2026 at a compound annual growth rate (CAGR) of 19.6%. The growth in the historic period can be attributed to increasing urban congestion, rising adoption of shared mobility services, growing deployment of gps and iot sensors, expanding government support for micro mobility, and increasing focus on sustainable urban transport.

The micro mobility data analytics market size is expected to see rapid growth in the next few years. It will grow to $7.24 billion in 2030 at a compound annual growth rate (CAGR) of 19.3%. The growth in the forecast period can be attributed to growing investment in smart city initiatives, rising integration of ai and predictive analytics, increasing deployment of connected micro mobility fleets, expanding demand for real-time fleet optimization,and growing emphasis on data-driven safety management. Major trends in the forecast period include technology advancements in iot and telematics, innovations in ai-based demand forecasting, developments in data-driven safety analytics, research and development in multimodal mobility integration, and advancements in edge computing for real-time analytics.

The increasing adoption of e-scooters and e-bikes is expected to propel the growth of the micro mobility data analytics market going forward. This growth reflects the expanding number of individuals and fleets using these vehicles for urban commuting, short-distance travel, and shared mobility solutions. Adoption is rising due to growing demand for efficient and environmentally friendly urban transportation options, as e-scooters and e-bikes provide convenient, low-emission solutions for short trips. Micro mobility data analytics supports this adoption by enabling operators to optimize fleet performance, ensure reliable vehicle availability, and deliver smoother user experiences. It also enhances safety and operational efficiency through real-time insights, improving overall commuting convenience and encouraging broader usage. For example, in September 2025, according to the Department for Transport, a UK-based government agency, between January 2022 and May 2024, approximately 19,500 e-scooters were available daily across 30 trial areas, enabling 36.9 million trips, with riders traveling an average of 2.1 kilometers in 10.9 minutes per trip, and each scooter being used around 2.2 times per day. As a result, the growing adoption of e-scooters and e-bikes is driving market growth.

Leading companies in the micro mobility data analytics market are focusing on developing advanced solutions, such as AI-powered connected vehicle platforms, to improve rider safety, streamline fleet management, and deliver data-driven digital experiences across electric mobility ecosystems. AI-powered connected vehicle platforms combine real-time diagnostics, predictive maintenance, over-the-air updates, mobile applications, and fleet dashboards, providing original equipment manufacturers and operators with actionable insights and recurring revenue opportunities while supporting rapid deployment of advanced mobility services. For example, in June 2025, Damon Inc., a Canada-based electric motorcycle and personal mobility company, launched Damon I/O, an AI-powered connected vehicle platform designed to provide mobility OEMs and fleet operators with advanced digital experiences, predictive diagnostics, and safety features without extended custom development cycles. The platform includes emergency last-mile responder functionality and rider-state monitoring that adapts to user vital signs, enabling intelligent routing and enhanced rider protection. It also supports seamless over-the-air updates and generates insurance-ready telematics data, helping reduce operational costs and create recurring software revenue streams.

In June 2023, Fluctuo SAS, a France-based mobility data and analytics company, partnered with Dott for an undisclosed amount. Through this partnership, Fluctuo aims to improve the accuracy and visibility of shared e-bike and e-scooter usage across Europe by integrating real-time General Bikeshare Feed Specification (GBFS) data from Dott’s fleets into its City Dive analytics platform. Dott is a Netherlands-based operator of shared e-bike and e-scooter services.

Major companies operating in the micro mobility data analytics market are Bolt Technology OÜ, Intellias LLC, Geotab Inc., Neutron Holdings Inc., TIER Mobility SE, PTV Planung Transport Verkehr AG, Bird Global Inc., Dott Mobility B.V., INRIX Inc., CARTO Inc., Neuron Mobility Pte. Ltd., AppyWay Ltd., Joyride Technologies Inc., Populus Technologies Inc., MotionTag GmbH, Lacuna Technologies Inc., ElectricFeel AG, Blue Systems SAS, Atom Mobility OU, Vianova SAS, Ride Report Inc, Fluctuo SAS.

North America was the largest region in the micro mobility data analytics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the micro mobility data analytics market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the micro mobility data analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs have impacted the micro mobility data analytics market by increasing costs for imported sensors, telematics devices, and onboard communication hardware used in data collection systems. Hardware dependent components and fleet analytics deployments are most affected, particularly in regions relying on imported electronics such as Asia-Pacific and parts of Europe. Higher tariffs can raise deployment and maintenance costs for service providers and municipalities. However, tariffs are also encouraging local sourcing of hardware, greater reliance on software driven analytics, and accelerated cloud based data processing adoption.

Micro mobility data analytics refers to the collection, processing, and interpretation of data generated by small, lightweight transportation modes such as e-scooters, bicycles, and e-bikes. It uses sensors, GPS, mobile applications, and fleet management systems to identify patterns related to usage, demand, safety, and operational efficiency. These insights help cities and operators optimize infrastructure, improve safety, manage fleets more effectively, and develop informed transportation policies.

The primary components of micro mobility data analytics include software and analytics platforms, hardware, and services. Software and analytics platforms are extensively used to collect, process, and analyze data from shared micromobility assets, enabling operators to optimize fleet performance, enhance user experience, and support data-driven decision-making. These solutions offer service types such as vehicle tracking and telematics, fleet management analytics, ride and user analytics, predictive maintenance analytics, and others, and are deployed through cloud-based and on-premise models. Micro mobility data analytics is applied across demand and supply forecasting, parking management and compliance, safety and incident analysis, vehicle utilization and rebalancing, and other functions, serving end-users such as micro mobility service providers, city governments and municipalities, fleet management companies, and consulting firms.

The micro mobility data analytics market consists of revenues earned by entities by providing services such as crime pattern analysis, hotspot mapping, predictive policing insights, risk assessment and threat analysis, incident reporting and monitoring, and criminal network analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. The micro mobility data analytics market includes sales of energy-efficient components and smart grid integration. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

This product will be delivered within 1-3 business days.