Digital Transformation In The Mobility Industry Statistics

GITNUXREPORT 2026

Digital Transformation In The Mobility Industry Statistics

With cloud already powering 87% of executives’ business-critical functions, mobility teams are making data and analytics plus cybersecurity investment moves that directly shape safer, faster services. See how 1.9 trillion road passenger kilometers were enabled by digital platforms in 2023 and why organizations are chasing edge computing, digital twins, and predictive maintenance to cut downtime and keep operations resilient.

32 statistics32 sources8 sections7 min readUpdated 13 days ago

Key Statistics

Statistic 1

55% of organizations say they plan to increase investment in data and analytics as part of their digital transformation programs in 2024

Statistic 2

59% of enterprises expect to increase spending on edge computing in 2024

Statistic 3

1.9 trillion kilometers of passenger travel by road worldwide were enabled by digital platforms and mobility services in 2023 (estimated by industry analytics firm, 2023)

Statistic 4

US consumers accessed ride-hailing apps 3.6 times per month on average in 2023 (surveyed users in 2023)

Statistic 5

1.4 billion people worldwide lack access to a reliable electricity grid per year (reported as 1.4 billion without electricity access), which constrains deployment of connected mobility services

Statistic 6

$32.6 billion global mobility-as-a-service market size in 2023, growing to $108.3 billion by 2030 (forecast)

Statistic 7

$6.9 billion global smart transportation systems market size in 2023 (forecast base year 2023)

Statistic 8

$74.6 billion estimated global telematics market revenue in 2023 (forecast base year 2023)

Statistic 9

$14.4 billion global fleet management systems market revenue in 2023, forecast to reach $53.6 billion by 2030

Statistic 10

$21.0 billion global intelligent transportation systems market in 2022, projected to reach $63.2 billion by 2030

Statistic 11

$8.1 billion global transit fare collection systems market in 2023, projected to reach $13.7 billion by 2030

Statistic 12

$6.6 billion global digital ticketing market size in 2023, forecast to reach $18.1 billion by 2030

Statistic 13

$1.8 billion global MaaS platform software revenue in 2023 (forecast base year 2023)

Statistic 14

45% of organizations say implementing digital twins is a top priority in 2024 (surveyed respondents, 2024)

Statistic 15

Up to 30% reduction in operating costs with predictive maintenance (meta-analysis of industrial case studies, 2019)

Statistic 16

Cities adopting adaptive traffic signal control have reported 10%–25% reductions in travel time (review of field deployments published 2020)

Statistic 17

Dynamic route optimization can reduce fuel consumption by 5%–15% in commercial fleets (simulation and field evidence summarized in a 2021 review)

Statistic 18

Urban congestion pricing pilots showed measurable travel-time reductions up to 10% in affected corridors in case studies (ITF/OECD report, 2019)

Statistic 19

Car-sharing apps reduced average car utilization time by 20% in participating fleets (peer-reviewed operational study, 2020)

Statistic 20

Contactless ticketing penetration of 70%+ on commuter rail routes improved queue times by 25% in operational assessments (industry study, 2021)

Statistic 21

The average cost of a data breach was $4.45 million in 2023 (IBM Cost of a Data Breach report; relevant to transit/ride-service digital systems)

Statistic 22

Migrating from on-premises to cloud reduced infrastructure costs by 20% on average across surveyed organizations (Gartner analysis, 2020)

Statistic 23

Route optimization reduced fuel and operational costs by 4%–10% in evaluated fleet programs (peer-reviewed transport operations study, 2018)

Statistic 24

87% of executives in a 2023 global survey said they use cloud-based technologies for at least one business-critical function

Statistic 25

28% of transit agencies planned to deploy account-based ticketing within 12–24 months in 2022 (survey, 2022)

Statistic 26

65% of travelers prefer contactless/biometric options where available based on a 2022 passenger survey (IATA)

Statistic 27

32% reduction in vehicle downtime reported after implementation of IoT-based condition monitoring in fleet operations in a multi-site field program evaluation

Statistic 28

45% of organizations identified supply-chain security as a top concern, affecting procurement of connected mobility and MaaS technology components (reported in a cybersecurity risk report)

Statistic 29

1.5x increase in the average time to detect breaches reported in incident response trend reporting across industries (reported in a global security monitoring study)

Statistic 30

EU GDPR fines exceeded €2.0 billion in 2022–2023 combined, raising compliance burden for mobility data controllers (reported in a privacy enforcement analysis)

Statistic 31

68% of organizations reported that they use APIs to integrate systems, enabling connected mobility platforms and third-party MaaS/route planning (reported in an API management survey)

Statistic 32

33% of organizations plan to increase investment in cybersecurity for operational technology (OT) and connected infrastructure, relevant to mobility control systems (surveyed planning data)

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Mobility is getting reshaped by software and sensors faster than many infrastructure roadmaps anticipated, and the budgets to match are already shifting. In 2024, 59% of enterprises expect to increase spending on edge computing while 55% plan to put more money into data and analytics as part of their digital transformation programs. The most interesting part is how this tech pressure shows up on the street and in fleets, from digital platform enabled passenger travel to the costs and risks of running connected services at scale.

Key Takeaways

  • 55% of organizations say they plan to increase investment in data and analytics as part of their digital transformation programs in 2024
  • 59% of enterprises expect to increase spending on edge computing in 2024
  • 1.9 trillion kilometers of passenger travel by road worldwide were enabled by digital platforms and mobility services in 2023 (estimated by industry analytics firm, 2023)
  • $32.6 billion global mobility-as-a-service market size in 2023, growing to $108.3 billion by 2030 (forecast)
  • $6.9 billion global smart transportation systems market size in 2023 (forecast base year 2023)
  • $74.6 billion estimated global telematics market revenue in 2023 (forecast base year 2023)
  • 45% of organizations say implementing digital twins is a top priority in 2024 (surveyed respondents, 2024)
  • Up to 30% reduction in operating costs with predictive maintenance (meta-analysis of industrial case studies, 2019)
  • Cities adopting adaptive traffic signal control have reported 10%–25% reductions in travel time (review of field deployments published 2020)
  • The average cost of a data breach was $4.45 million in 2023 (IBM Cost of a Data Breach report; relevant to transit/ride-service digital systems)
  • Migrating from on-premises to cloud reduced infrastructure costs by 20% on average across surveyed organizations (Gartner analysis, 2020)
  • Route optimization reduced fuel and operational costs by 4%–10% in evaluated fleet programs (peer-reviewed transport operations study, 2018)
  • 87% of executives in a 2023 global survey said they use cloud-based technologies for at least one business-critical function
  • 28% of transit agencies planned to deploy account-based ticketing within 12–24 months in 2022 (survey, 2022)
  • 65% of travelers prefer contactless/biometric options where available based on a 2022 passenger survey (IATA)

Digital mobility is accelerating with big investments in data, edge, and cloud to cut costs, boost efficiency, and improve experiences.

Market Size

1$32.6 billion global mobility-as-a-service market size in 2023, growing to $108.3 billion by 2030 (forecast)[6]
Verified
2$6.9 billion global smart transportation systems market size in 2023 (forecast base year 2023)[7]
Verified
3$74.6 billion estimated global telematics market revenue in 2023 (forecast base year 2023)[8]
Verified
4$14.4 billion global fleet management systems market revenue in 2023, forecast to reach $53.6 billion by 2030[9]
Verified
5$21.0 billion global intelligent transportation systems market in 2022, projected to reach $63.2 billion by 2030[10]
Single source
6$8.1 billion global transit fare collection systems market in 2023, projected to reach $13.7 billion by 2030[11]
Directional
7$6.6 billion global digital ticketing market size in 2023, forecast to reach $18.1 billion by 2030[12]
Directional
8$1.8 billion global MaaS platform software revenue in 2023 (forecast base year 2023)[13]
Verified

Market Size Interpretation

For the Market Size angle, the mobility sector is showing strong expansion with the mobility as a service market surging from $32.6 billion in 2023 to a forecast $108.3 billion by 2030, alongside rising revenue across key digital initiatives like telematics and fleet management.

Performance Metrics

145% of organizations say implementing digital twins is a top priority in 2024 (surveyed respondents, 2024)[14]
Directional
2Up to 30% reduction in operating costs with predictive maintenance (meta-analysis of industrial case studies, 2019)[15]
Verified
3Cities adopting adaptive traffic signal control have reported 10%–25% reductions in travel time (review of field deployments published 2020)[16]
Verified
4Dynamic route optimization can reduce fuel consumption by 5%–15% in commercial fleets (simulation and field evidence summarized in a 2021 review)[17]
Verified
5Urban congestion pricing pilots showed measurable travel-time reductions up to 10% in affected corridors in case studies (ITF/OECD report, 2019)[18]
Verified
6Car-sharing apps reduced average car utilization time by 20% in participating fleets (peer-reviewed operational study, 2020)[19]
Verified
7Contactless ticketing penetration of 70%+ on commuter rail routes improved queue times by 25% in operational assessments (industry study, 2021)[20]
Verified

Performance Metrics Interpretation

Performance metrics in mobility show clear gains from digital transformation, with results ranging from 5%–15% lower fuel use from dynamic route optimization and 10%–25% less travel time from adaptive traffic signals to 25% shorter queues thanks to 70%+ contactless ticketing adoption.

Cost Analysis

1The average cost of a data breach was $4.45 million in 2023 (IBM Cost of a Data Breach report; relevant to transit/ride-service digital systems)[21]
Verified
2Migrating from on-premises to cloud reduced infrastructure costs by 20% on average across surveyed organizations (Gartner analysis, 2020)[22]
Verified
3Route optimization reduced fuel and operational costs by 4%–10% in evaluated fleet programs (peer-reviewed transport operations study, 2018)[23]
Verified

Cost Analysis Interpretation

For mobility companies, digital transformation can materially improve cost outcomes because cloud migration cuts infrastructure costs by about 20% on average and route optimization trims fuel and operations costs by 4% to 10%, even as leaders must plan for the steep financial risk of cyber incidents such as a 2023 average data breach cost of $4.45 million.

User Adoption

187% of executives in a 2023 global survey said they use cloud-based technologies for at least one business-critical function[24]
Verified
228% of transit agencies planned to deploy account-based ticketing within 12–24 months in 2022 (survey, 2022)[25]
Verified
365% of travelers prefer contactless/biometric options where available based on a 2022 passenger survey (IATA)[26]
Single source

User Adoption Interpretation

User adoption is accelerating as 65% of travelers already prefer contactless or biometric options, and with 87% of executives using cloud for business critical work, more agencies are set to expand offerings like account based ticketing, with 28% planning deployments within 12 to 24 months.

Operational Performance

132% reduction in vehicle downtime reported after implementation of IoT-based condition monitoring in fleet operations in a multi-site field program evaluation[27]
Directional

Operational Performance Interpretation

Operational performance improved noticeably as IoT-based condition monitoring cut vehicle downtime by 32% in fleet operations across a multi-site field program evaluation.

Risk & Compliance

145% of organizations identified supply-chain security as a top concern, affecting procurement of connected mobility and MaaS technology components (reported in a cybersecurity risk report)[28]
Verified
21.5x increase in the average time to detect breaches reported in incident response trend reporting across industries (reported in a global security monitoring study)[29]
Single source
3EU GDPR fines exceeded €2.0 billion in 2022–2023 combined, raising compliance burden for mobility data controllers (reported in a privacy enforcement analysis)[30]
Single source

Risk & Compliance Interpretation

Risk and compliance pressures are rising sharply as supply chain security concerns are flagged by 45% of organizations, breach detection times worsen by 1.5x, and GDPR enforcement has already surpassed €2.0 billion in fines, collectively increasing the burden on mobility data controllers.

Technology Enablement

168% of organizations reported that they use APIs to integrate systems, enabling connected mobility platforms and third-party MaaS/route planning (reported in an API management survey)[31]
Verified
233% of organizations plan to increase investment in cybersecurity for operational technology (OT) and connected infrastructure, relevant to mobility control systems (surveyed planning data)[32]
Verified

Technology Enablement Interpretation

In Technology Enablement for mobility, 68% of organizations already rely on APIs to connect platforms and third-party MaaS services, while 33% are planning higher cybersecurity investment for OT and connected infrastructure to keep those integrations safe.

How We Rate Confidence

Models

Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.

Single source
ChatGPTClaudeGeminiPerplexity

Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.

AI consensus: 1 of 4 models agree

Directional
ChatGPTClaudeGeminiPerplexity

Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.

AI consensus: 2–3 of 4 models broadly agree

Verified
ChatGPTClaudeGeminiPerplexity

All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.

AI consensus: 4 of 4 models fully agree

Models

Cite This Report

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APA
Sophie Moreland. (2026, February 13). Digital Transformation In The Mobility Industry Statistics. Gitnux. https://gitnux.org/digital-transformation-in-the-mobility-industry-statistics
MLA
Sophie Moreland. "Digital Transformation In The Mobility Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/digital-transformation-in-the-mobility-industry-statistics.
Chicago
Sophie Moreland. 2026. "Digital Transformation In The Mobility Industry Statistics." Gitnux. https://gitnux.org/digital-transformation-in-the-mobility-industry-statistics.

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