Shared Mobility Data Intelligence Platforms Benchmarking Report 2020-2030 with 2023 as the Base Year: Competitive Analysis and Case Studies Featuring Fluctuo, Vianova, Populus, Blue Systems, Nivel - ResearchAndMarkets.com

The "Benchmarking Shared Mobility Data Intelligence Platforms" report has been added to ResearchAndMarkets.com's offering.

This research's main participants are Fluctuo, Vianova, Populus, Blue Systems, and Nivel. 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.

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. The publisher 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.

Growth Opportunity Universe

  • Geographic and Product Expansion
  • City Operating Systems
  • Integration of Autonomous Vehicles

Key Topics Covered:

Strategic Imperatives

  • Why is it Increasingly Difficult to Grow?
  • The Strategic Imperative
  • The Impact of the Top 3 Strategic Imperatives on Shared Mobility Data Intelligence Start-ups

Growth Opportunity Analysis

  • 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

Growth Opportunity Analysis

  • Company Overview
  • City Dive Overview
  • Delta Overview
  • Bridge Overview
  • Case Study 1: VeloVision
  • Key Takeaways

Growth Opportunity Analysis

  • Company Overview
  • Intelligence Data Platform
  • Data Products
  • Case Study 1: Brisbane City Council
  • Case Study 2: Berlin City
  • Case Study 3: Paris City
  • Key Takeaways

Growth Opportunity Analysis

  • Company Overview
  • Solution Suite
  • Case Study 1: Seattle City
  • Case Study 2: Munich City
  • Key Takeaways

Growth Opportunity Analysis

  • 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

Growth Opportunity Analysis

  • Company Overview
  • Regulator Analytics
  • Poor Parking App and Task Manager
  • Case Study 1: Bergen City
  • Key Takeaways

Next Steps

  • Benefits and Impacts of Growth Opportunities
  • Action Items & Next Steps
  • List of Exhibits

For more information about this report visit https://www.researchandmarkets.com/r/93ckdr

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