Smart Mobility at a Glance

The World Bank estimates that more than half of the world’s population (over 4 billion people) already lives in cities, and that nearly 7 in 10 people will live in cities by 2050. This will tighten the requirement for digitally managed transport capacity rather than incremental road expansion.

Congestion remains one of the clearest ROI triggers for smart mobility deployments. For instance, drivers lost 43 hours per driver on average to congestion in the United States in 2024. This costs USD 771 per driver, and amounts to 4+ billion hours and USD 74 billion in lost time nationally. These numbers point to the need for adaptive traffic control, digital tolling, congestion charging, and freight-slot optimization.

Additionally, McKinsey reports 15+ billion hailed mobility trips in 2019 with USD 130 billion in revenues, and projects USD 450-860 billion in hailed-mobility revenues by 2030. Micromobility alone is projected to reach up to USD 90 billion in 2030 – a scale that raises the bar on fleet uptime, dispatch algorithms, and city permitting/compliance.

Market Setup: 45M+ EVs and Divergent Charging Buildouts

The global EV stock exceeded 45 million at the end of 2023, and projects that annual electric car sales may exceed 20 million in 2030. This is critical for smart mobility as it shifts bottlenecks toward charging availability, grid coordination, and depot-level operations.

Charging rollout pace is uneven and therefore becomes a “where to scale first” filter. For example, Europe added 275 000 public charging points in 2024, while the US added 35 000 in 2024. This difference typically shows up downstream in fleet electrification feasibility (duty cycles, dwell times, and service coverage).

Further, transport energy intensity remains a top-level reason that optimization software has hard-dollar value. The total final consumption in 2024 was over 450 EJ, and transport accounts for ~30% of global energy demand.

This is why routing, load factor improvement, anti-idling controls, and multimodal planning can compete for budget alongside physical infrastructure.

Moreover, connected vehicle data is already modeled as a multi-hundred-billion-dollar optimization layer. McKinsey’s connected car data analysis states that nine use case clusters could deliver USD 250-400 billion in value by 2030.

 

 

According to Fortune Business Insights, the global smart mobility market size is projected to grow from USD 51.77 billion in 2025 to USD 194.13 billion by 2032. The market size is exhibiting a CAGR of 20.8% during the forecast period.

According to our database, the smart mobility sector includes 890+ startups within a broader pool of 2700 total companies. The sector records a yearly growth rate of 4.81%. This indicates gradual consolidation as solutions mature across urban transport, connected infrastructure, and mobility services.

 

 

Who’s Actually Scaling

Smart Internal Mobility enables Internal Mobility and Last-mile Logistics

Colombian startup Smart Internal Mobility creates smart electric utility vehicles for internal mobility and last-mile logistics.

The startup offers the MUB 1T Cabina Sencilla and MUB 1T Cabina Doble as electric utility vehicles designed for internal mobility and last-mile logistics.

These vehicles utilize a 7.5-10 kilowatt electric drivetrain and a 72-volt lithium-iron-phosphate (LiFePO4) battery to support payloads of up to 700 kilograms, tow up to 1000 kilograms, and operate on public roads at speeds of up to 50 kilometers per hour.

Moreover, the startup integrates an Internet of Things (IoT)-enabled analytics platform across all its vehicles. It continuously captures vehicle, battery, and driving data, including odometer readings, state of charge, temperature metrics, location, and usage patterns.

These data feed client-specific dashboards that support location tracking, maintenance, and utilization analysis, and driving behavior monitoring, with accident reporting under development.

MannaEV designs Smart Mobility for On-demand Delivery

Malta-based MannaEV deploys smart electric mobility solutions for last-mile delivery and urban logistics. It operates electric motorcycles and employs a battery-swapping infrastructure that replaces depleted batteries within seconds and removes charging downtime from delivery workflows.

Additionally, the startup connects vehicles, batteries, and riders through an IoT-enabled platform that continuously captures location, usage, and delivery data. These data feed an AI-driven analytics and fleet management system. It enables monitoring of fleet utilization, battery health, delivery performance, and environmental impact metrics.

AI-Sense deploys AI-driven Sensory Solutions for Smart Mobility

Slovakian startup AI-Sense designs AI-driven sensing systems for smart mobility, public transportation, and urban infrastructure management.

It employs a fusion of onboard sensors, WiFi, and Bluetooth detection, and mobile handset signals to capture movement and presence data. This data flows into cloud-based analytics that track people, vehicles, and objects across transport vehicles, parking areas, stations, and connected buildings.

The startup manufactures interface modules and sensor devices that transmit anonymized occupancy and movement data to a secure backend. There, it processes real-time statistics, hotspot analysis, and predictive insights without storing images or personal identifiers.

These capabilities enable accurate passenger counting and free parking space detection across mobility networks.

Eazy Ride provides a Vehicle Sharing Software

Indian startup Eazy Ride offers a vehicle-sharing software platform for smart mobility operators across urban and campus environments. It deploys an all-in-one, white-label system that includes rider applications, an operator app, and an administrative dashboard to manage fleet operations, users, and trips in real time.

Moreover, the startup designs the platform to support e-bikes, scooters, and multi-vehicle fleets while enabling station-based, free-floating, and hybrid operational models through configurable rules and geofencing.

It also employs analytics tools such as heat maps, rider behavior insights, and performance reports to optimize fleet utilization, demand planning, and service availability.

Unbound Mobility operates a Cross-provider Smart Mobility Platform

German startup Unbound Mobility offers a unified mobility application that integrates urban transport services within the smart mobility industry. It aggregates public transport, shared mobility options such as e-scooters and bike sharing, parking facilities, charging stations, and fuel locations into a single digital interface.

The startup also connects multiple mobility providers and data sources to generate intermodal route planning that combines different transport modes based on user preferences and real-time availability.

Moreover, the application presents journey details such as transfers, live delays, intermediate stops, and provider-specific information in a consolidated view.

MaaS, SDVs & Digital Twins are the Top Trends

Discover the emerging trends in the smart mobility market along with their firmographic details:

 

The Mobility-as-a-Service (MaaS) segment includes 1000 companies and employs around 114 700 professionals, and it added 54 new employees in the last year. The MaaS segment records an annual growth rate of 122.44%. It reflects gradual adoption as cities integrate public transport, shared mobility, and payment systems into cohesive mobility ecosystems. This strengthens smart mobility by enabling user-centric and data-driven transport experiences across urban environments.

The Software-defined Vehicles (SDV) segment is driven by the shift from hardware-centric vehicle architectures to software-controlled platforms. The SDV landscape includes 307 companies and employs approximately 93 800 professionals, with 18 new employees added in the last year. The segment records an annual growth rate of 1502.36%. SDVs accelerate smart mobility by supporting over-the-air updates, continuous feature deployment, vehicle intelligence, and tighter integration between vehicles, infrastructure, and digital mobility services.

Digital Twin technology is vital in smart mobility by enabling real-time virtual replicas of vehicles, infrastructure, and entire transport networks. The segment spans 13 400 companies and employs approximately 1.2 billion workers globally, with 420 new employees added in the last year. Digital twin solutions recorded an annual growth rate of 54.80%. Within smart mobility, digital twins support traffic simulation, infrastructure planning, predictive maintenance, and system-level optimization for connected and autonomous transport ecosystems.

Where the Money Is Going

Since 2010, private investors and corporates have directed USD 100+ billion into shared mobility companies.

On the public infrastructure side, the EU’s investment envelope is explicit. The European Commission’s CEF Transport budget for 2021-2027 is EUR 25.8 billion, with EUR 11.3 billion earmarked for Cohesion Fund-eligible countries.

Within that, the Commission’s mid-term review states the Alternative Fuels Infrastructure Facility (AFIF) has a total budget of EUR 2.3 billion, and that a second rolling call with the remaining EUR 1 billion was launched in February 2024. This indicates near-term funding windows tied directly to charging and hydrogen refueling buildout.

AFIF’s call design also signals what gets built first. The Commission’s CEF/AFIF call page specifies EUR 1 billion available under the call, split into EUR 780 million (General envelope) and EUR 220 million (Cohesion envelope).

Waymo raised USD 16 billion in a financing round, valuing it at USD 126 billion. This illustrates that investors are underwriting autonomy as an infrastructure-scale category.

Evergrande invested USD 853.85 million to acquire a 45% stake in electric vehicle maker Faraday Future, and SoftBank led a USD 1.05 billion Series C investment round in UK autonomous driving startup Wayve, alongside Nvidia and Microsoft.

The leading investors in the smart mobility industry have collectively invested more than USD 10.84 billion. Here is a breakdown of their contributions:

 

Data Notes and Limitations

This Smart Mobility market outlook draws on the StartUs Insights Discovery Platform to map the mobility stack end-to-end, using intelligence across 9M+ companies, 25K+ technologies and trends, and 190M+ patents, news articles, and market reports. It isolates the system components that determine whether programs actually scale – MaaS orchestration, traffic & curb management, connected vehicle and telematics layers, V2X/5G connectivity, and more.

We track how leading deployments move from pilots to repeatable rollouts – through integrated ticketing and routing, real-time fleet optimization, digital twins for network planning, and policy tools like pricing, access control, and performance-based contracts.