Automotive Benchmarking Shared Mobility Data Intelligence Platforms

Data Sharing and Standardization Vital for Solution Uptake

INDUSTRY
Automotive

RELEASE DATE
13-Dec-2024
REGION
North America
DELIVERABLE TYPE
Market Research

RESEARCH CODE
MHA5-01-00-00-00
SKU
AU_2024_1197
Yes
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Benchmarking Shared Mobility Data Intelligence Platforms
Published on: 13-Dec-2024 | SKU: AU_2024_1197

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Cities are evolving toward a more sustainable and efficient model. A focus area is reducing carbon emissions by adopting renewable energy sources like solar and wind power and promoting electric vehicles. In addition, there is a shift toward pedestrian-friendly urban design, with wider sidewalks, bike lanes, and increased green spaces. Cities want to increase the sustainable modal share significantly, especially in terms of mobility. Digitally enabled cities can improve mobility by implementing advanced technologies or integrating all transport options. Initiatives such as data standardization will make sharing data across the mobility ecosystem easier.

The shared mobility market has been growing steadily in the past few years. Frost & Sullivan expects the overall global fleet of the shared mobility market to increase to about 44 million vehicles by the end of 2030, of which the ride-hailing and bike-sharing fleets account for over 85%.

Besides the challenge presented by the large vehicle volume, there is a need to efficiently manage them to enable better supply and demand management. Another problem is the issue of safety that cities face, particularly with kick scooters. Many accidents have occurred because kick scooters are improperly parked or people are riding them on the curb. Cities like Paris, Madrid, Montreal, and Melbourne have banned kick scooters due to safety reasons.

Many urban mobility management solutions exist, including traffic management location-based intelligence (e.g., trip, vehicle, movement, congestion, and distance analysis) and road analytics solutions (e.g., solutions that provide reports on events, tolling, tunnels, hazards, rules, or pricing). This study focuses on start-ups (companies founded post-2010) that offer shared mobility intelligence for cities to help them better manage shared fleets.

This research’s main participants are Fluctuo, Vianova, Populus, Blue Systems, and Nível. However, this selection is not an exhaustive list of solution providers in this space. The study period is 2020 to 2030, with 2023 as the base year.

Author: Albert Geraldine Priya

Why is it Increasingly Difficult to Grow?

The Strategic Imperative 8™

The Impact of the Top 3 Strategic Imperatives on Shared Mobility Data Intelligence Start-ups

Scope of Analysis

Growth Metrics

Growth Drivers

Growth Restraints

City Mobility Stakeholder Evolution

Shared Mobility Data Intelligence Solutions—Evolution

Success Factor for These Solutions—MDS

Success Factor for These Solutions—Curb Data Specification (CDS)

The Impact of Ride-hailing Vehicles on Cities

The Impact of Micromobility Sharing on Cities

The Impact of Carsharing Vehicles on Cities

Comparative Analysis of Notable Start-ups

Shared Mobility Data Intelligence Solutions: The Way Forward

Company Overview

City Dive Overview

Delta Overview

Bridge Overview

Case Study 1: VeloVision

Case Study 2

Key Takeaways

Company Overview

Intelligence Data Platform

Data Products

Data Products (continued)

Case Study 1: Brisbane City Council

Case Study 2: Berlin City

Case Study 3: Paris City

Key Takeaways

Company Overview

Solution Suite

Solution Suite (continued)

Case Study 1: Seattle City

Case Study 2: Munich City

Key Takeaways

Company Overview

Mobility Manager Overview

Curb Manager

Enforcement Manager

Mobility Data Hub

Case Study 1: London Transport for London (TfL)

Case Study 2: LADOT

Case Study 3: San Jose

Key Takeaways

Company Overview

Regulator Analytics

Poor Parking App and Task Manager

Case Study 1: Bergen City

Key Takeaways

Growth Opportunity 1: Geographic and Product Expansion

Growth Opportunity 1: Geographic and Product Expansion (continued)

Growth Opportunity 2: City Operating Systems

Growth Opportunity 2: City Operating Systems (continued)

Growth Opportunity 3: Integration of Autonomous Vehicles

Growth Opportunity 3: Integration of Autonomous Vehicles (continued)

Benefits and Impacts of Growth Opportunities

Action Items & Next Steps

List of Exhibits

Legal Disclaimer

List of Figures
  • Shared Mobility Data Intelligence: Growth Metrics, Global, 2023
  • Shared Mobility Data Intelligence: Growth Drivers, Global, 2024–2030
  • Shared Mobility Data Intelligence: Growth Restraints, Global, 2024–2030

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Cities are evolving toward a more sustainable and efficient model. A focus area is reducing carbon emissions by adopting renewable energy sources like solar and wind power and promoting electric vehicles. In addition, there is a shift toward pedestrian-friendly urban design, with wider sidewalks, bike lanes, and increased green spaces. Cities want to increase the sustainable modal share significantly, especially in terms of mobility. Digitally enabled cities can improve mobility by implementing advanced technologies or integrating all transport options. Initiatives such as data standardization will make sharing data across the mobility ecosystem easier. The shared mobility market has been growing steadily in the past few years. Frost & Sullivan expects the overall global fleet of the shared mobility market to increase to about 44 million vehicles by the end of 2030, of which the ride-hailing and bike-sharing fleets account for over 85%. Besides the challenge presented by the large vehicle volume, there is a need to efficiently manage them to enable better supply and demand management. Another problem is the issue of safety that cities face, particularly with kick scooters. Many accidents have occurred because kick scooters are improperly parked or people are riding them on the curb. Cities like Paris, Madrid, Montreal, and Melbourne have banned kick scooters due to safety reasons. Many urban mobility management solutions exist, including traffic management location-based intelligence (e.g., trip, vehicle, movement, congestion, and distance analysis) and road analytics solutions (e.g., solutions that provide reports on events, tolling, tunnels, hazards, rules, or pricing). This study focuses on start-ups (companies founded post-2010) that offer shared mobility intelligence for cities to help them better manage shared fleets. This research’s main participants are Fluctuo, Vianova, Populus, Blue Systems, and Nível. However, this selection is not an exhaustive list of solution providers in this space. The study period is 2020 to 2030, with 2023 as the base year. Author: Albert Geraldine Priya
More Information
Deliverable Type Market Research
Author Albert Geraldine Priya
Industries Automotive
No Index No
Is Prebook No
Keyword 1 shared mobility platforms
Keyword 2 data intelligence in mobility
Keyword 3 mobility data trends
List of Charts and Figures Shared Mobility Data Intelligence: Growth Metrics, Global, 2023~ Shared Mobility Data Intelligence: Growth Drivers, Global, 2024–2030~ Shared Mobility Data Intelligence: Growth Restraints, Global, 2024–2030~
Podcast No
Predecessor PC12-01-00-00-00
WIP Number MHA5-01-00-00-00

Benchmarking Shared Mobility Data Intelligence Platforms

$2,450.00

Special Price $2,082.50 save 15 %

In stock
SKU
AU_2024_1197