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This dataset contains an average snapshot count (over a 1 second interval) of vehicle deployment locations by all Dockless Mobility companies grouped by month and Census Block group within the City of Los Angeles during the Pilot Program only from April 15, 2019 - February 29, 2020. Data is aggregated over a 1 month period, with the exception of April 2019, where data is aggregated from April 15 (deadline for formal compliance) to April 30. Vehicle deployment includes the individual instance a Dockless Mobility company locates a dockless vehicle in the public right of way. Dockless vehicles without a reported status change within 48 hours and vehicles with trips longer than 5 hours were excluded. For more information on vehicle deployment metric and the description of vehicle statuses, please visit the Mobility Data Specification Github .
This dataset contains micromobility vehicle deployment data reported to the City of Los Angeles Department of Transportation (LADOT) as part of the shared Dockless Mobility Pilot Program. This dataset will not be updated on a regular basis. LADOT captures shared dockless mobility vehicle and trip information using the Mobility Data Specification (MDS) API. MDS is an open-source project of the Open Mobility Foundation (OMF).
Geography data (latitude and longitude) is aggregated from all publicly shared Dockless Mobility datasets to protect user privacy.
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Cross-OEM Mobility Data Collaboration market valued at $3.2 billion in 2025, projected to reach $8.7 billion by 2033, growing at 13.8% CAGR through enhanced vehicle connectivity.
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TwitterSuivideflotte holds a rich Mobility Telemetry Dataset in a Time Series modality, comprising IoT data, event streams, and geo-data generated from client vehicles. This real-time vehicle data offers granular insights into vehicle performance, component wear, and driving patterns, making it exceptionally valuable for Predictive Maintenance applications. Its comprehensive nature allows for the identification of anomalies and the forecasting of potential mechanical failures, enabling proactive servicing and reduced downtime. The business value of such data is substantial, with the Automotive Predictive Maintenance market projected to reach US$ 191.42 billion by 2032 with a 21% CAGR (2026-2032). Furthermore, the broader Automotive Data Monetization market is predicted to reach USD 30.04 billion by 2035 at a 12.9% CAGR (2026-2035). Despite the complexity of accessing this data, which requires clear agreements for secondary use and robust GDPR-sensitive anonymization or consent mechanisms, the significant market growth underscores its valuable potential for AI buyers. ⚠ Diligence (valuable data, access to negotiate): Data is generated from client vehicles, requiring clear agreements for secondary use.; Location and driver behavior data are GDPR-sensitive, necessitating robust anonymization or consent mechanisms. · corporate: independent.
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TwitterThe Citywide Mobility Survey (CMS) is NYC DOT's annual travel survey to assess the travel behavior, preferences, and attitudes of NYC residents. It is composed of 5 linked data tables. For further information about the Citywide Mobility Survey program, please visit the CMS information page on the NYC DOT website: https://www.nyc.gov/html/dot/html/about/citywide-mobility-survey.shtml
Citywide Mobility Survey (CMS) Vehicle table contains characteristics of each vehicle in the participant’s household.
Other 2024 Citywide Mobility Survey Datasets: Citywide Mobility Survey - Person 2024 Citywide Mobility Survey - Household 2024 Citywide Mobility Survey - Day 2024 Citywide Mobility Survey - Trip 2024
See all the Citywide Mobility Survey Data, including past surveys.
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TwitterCitywide Mobility Survey (CMS) Vehicle table contains characteristics of each vehicle in the participant’s household.
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TwitterMachine-readable plans and pricing scaffold for this API provider. Conforms to the API Commons Plans schema. Tier limits and prices are scaffold defaults; replace with provider-published values.
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According to our latest research, the Global Developer Advocacy for Mobility APIs market size was valued at $3.2 billion in 2024 and is projected to reach $12.7 billion by 2033, expanding at a robust CAGR of 16.8% during the forecast period of 2025–2033. A primary factor propelling this impressive growth is the accelerating digital transformation within the mobility sector, which is driving heightened demand for seamless, developer-friendly APIs that underpin ride-hailing, navigation, payment, and vehicle data services. As mobility ecosystems become increasingly interconnected, the role of developer advocacy in facilitating adoption, integration, and innovation around these APIs is becoming critical for both technology providers and end-users.
North America holds the largest share of the Developer Advocacy for Mobility APIs market, accounting for nearly 38% of the global market value in 2024. This dominance is attributed to the region’s mature technology infrastructure, the presence of leading mobility API providers, and a culture of early adoption among developers and enterprises. The United States, in particular, has been at the forefront of mobility innovation, supported by robust venture capital ecosystems, progressive regulatory frameworks, and a high density of tech-savvy urban populations. The region’s established ride-hailing and logistics industries further fuel demand for advanced APIs, while developer advocacy programs have become a strategic imperative for technology vendors aiming to differentiate their platforms and foster ecosystem loyalty.
The Asia Pacific region is emerging as the fastest-growing market, with an anticipated CAGR of 20.5% through 2033. Rapid urbanization, surging smartphone penetration, and government-backed smart city initiatives are catalyzing the adoption of mobility APIs across key markets such as China, India, Japan, and Southeast Asia. Local and international mobility service providers are investing heavily in developer advocacy to support integration with diverse payment systems, mapping technologies, and real-time transportation data sources. The region’s dynamic startup landscape, combined with significant investments in digital infrastructure and cloud services, is fostering a vibrant developer community that is eager to leverage mobility APIs for innovative applications.
In emerging economies across Latin America, the Middle East, and Africa, adoption of mobility APIs and related developer advocacy initiatives is gaining momentum, albeit at a measured pace. Key challenges include inconsistent internet connectivity, limited access to developer resources, and a fragmented regulatory environment. However, localized demand for cost-effective transportation solutions and the proliferation of fintech and logistics startups are creating new opportunities for API adoption. Governments in these regions are also beginning to recognize the importance of open data standards and developer engagement in supporting urban mobility and public transportation modernization, which bodes well for long-term market growth.
| Attributes | Details |
| Report Title | Developer Advocacy for Mobility APIs Market Research Report 2033 |
| By Component | Platforms, Services, Tools |
| By API Type | Ride-Hailing APIs, Navigation APIs, Payment APIs, Vehicle Data APIs, Mapping APIs, Others |
| By Application | Automotive, Public Transportation, Logistics & Delivery, Smart Cities, Others |
| By End-User | Developers, Enterprises, Mobility Service Providers, Others |
| By Deployment Mode | Cloud, On-Premises |
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Online Access Panel-based survey data collected Jan-May 2022 in Germany within the research project Energy Sufficiency. N=3422 (+N=510 for city of Flensburg). Data available as coded and labelled version, incl. codebook and method report from data collection contractor (all in German). Supplementary files: questionnaire (for survey implemented as online questionnaire), codebook and method report (German).
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According to our latest research, the global Safety Data Lake for Mobility Analytics market size reached USD 1.72 billion in 2024, driven by the growing need for integrated and actionable mobility data across urban and commercial environments. The market is projected to grow at a robust CAGR of 17.4% from 2025 to 2033, reaching a forecasted value of USD 6.09 billion by 2033. This expansion is fueled by increasing investments in smart city infrastructure, rising demand for advanced traffic management solutions, and the proliferation of connected vehicles, all of which necessitate sophisticated data aggregation and analytics tools to enhance safety and operational efficiency.
One of the primary growth factors for the Safety Data Lake for Mobility Analytics market is the exponential increase in the volume of mobility data generated by modern transportation systems. The widespread adoption of IoT devices, in-vehicle sensors, telematics, and GPS-enabled fleet management systems has resulted in a deluge of data that traditional analytics platforms struggle to manage effectively. Safety data lakes offer a scalable and centralized repository for ingesting, storing, and processing these vast datasets, enabling organizations to derive actionable insights for accident prevention, predictive maintenance, and regulatory compliance. The ability to integrate diverse data sources, including real-time traffic feeds, vehicle diagnostics, and environmental sensors, empowers stakeholders to make data-driven decisions that enhance road safety and operational efficiency.
Another significant driver is the increasing regulatory emphasis on transportation safety and data transparency. Governments and regulatory bodies worldwide are mandating stricter compliance with road safety standards, emissions norms, and accident reporting protocols. The Safety Data Lake for Mobility Analytics market is benefitting as organizations seek robust solutions to aggregate, anonymize, and analyze compliance-relevant data. By leveraging advanced analytics, machine learning, and AI algorithms, safety data lakes help stakeholders identify risk patterns, optimize routes, and ensure adherence to evolving regulatory frameworks. This regulatory push, coupled with growing public awareness around transportation safety, is accelerating the adoption of data lake solutions across automotive, logistics, and public transportation sectors.
The rapid urbanization and development of smart city projects are also catalyzing the growth of the Safety Data Lake for Mobility Analytics market. Urban planners and municipal authorities are increasingly investing in integrated mobility platforms to address traffic congestion, reduce accident rates, and improve emergency response times. Safety data lakes play a pivotal role in these initiatives by providing a unified platform for aggregating data from multiple sources, including traffic cameras, road sensors, and connected infrastructure. This holistic approach enables real-time analytics, predictive modeling, and cross-agency collaboration, ultimately fostering safer and more resilient urban mobility ecosystems.
From a regional perspective, North America currently dominates the Safety Data Lake for Mobility Analytics market, owing to its advanced transportation infrastructure, high adoption of connected vehicle technologies, and proactive regulatory environment. However, the Asia Pacific region is poised for the fastest growth, driven by rapid urbanization, increasing investments in smart mobility solutions, and government-led safety initiatives. Europe also represents a significant market, with strong emphasis on sustainable transportation and stringent safety regulations. Latin America and the Middle East & Africa are emerging markets, where growing investments in infrastructure modernization and digital transformation are expected to create new opportunities for safety data lake adoption in the coming years.
The Component segment of the Safety Data
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According to our latest research, the global automotive software services market size reached USD 34.7 billion in 2024 and is expected to grow at a robust CAGR of 14.2% during the forecast period from 2025 to 2033. By 2033, the market is projected to attain a value of USD 104.7 billion, driven by the proliferation of advanced driver assistance systems (ADAS), increasing vehicle connectivity, and the surge in electrification across the automotive industry. As per our latest research, the market growth is primarily fueled by the rising integration of software-driven technologies in modern vehicles, coupled with the automotive sector’s ongoing digital transformation.
One of the most significant growth factors for the automotive software services market is the rapid evolution of vehicle architectures, which are transitioning from hardware-centric to software-defined platforms. This shift is largely propelled by the increasing demand for advanced features such as autonomous driving, connected infotainment, and predictive maintenance. Automakers are investing heavily in software development and integration to support these functionalities, leading to a surge in demand for consulting, integration, and managed services. The growing consumer preference for personalized and intelligent driving experiences is compelling automotive OEMs and tier-1 suppliers to collaborate with software service providers, further boosting market expansion.
Another critical driver is the electrification trend sweeping across the automotive landscape. Electric vehicles (EVs) inherently rely on sophisticated software for battery management, energy optimization, and remote diagnostics. As governments worldwide implement stricter emission regulations and promote EV adoption, automakers are accelerating their investments in software solutions that enhance the performance, safety, and user experience of electric vehicles. Furthermore, the integration of cloud-based services and over-the-air (OTA) updates is enabling continuous improvement and customization of vehicle functionalities, thereby increasing the reliance on specialized software services.
The proliferation of connected vehicles and the emergence of mobility-as-a-service (MaaS) platforms are also playing a pivotal role in shaping the automotive software services market. With the advent of 5G connectivity and the Internet of Things (IoT), vehicles are becoming increasingly interconnected, allowing for real-time data exchange between vehicles, infrastructure, and cloud platforms. This connectivity is driving the demand for advanced telematics, cybersecurity solutions, and data analytics services. As the automotive ecosystem evolves towards shared and autonomous mobility, the need for robust, scalable, and secure software services is expected to rise substantially, presenting lucrative opportunities for market players.
From a regional perspective, Asia Pacific is emerging as the fastest-growing market, driven by the rapid expansion of the automotive industry in China, Japan, South Korea, and India. North America and Europe continue to hold significant market shares, owing to the presence of leading automotive OEMs, technological advancements, and early adoption of connected and autonomous vehicle technologies. Latin America and the Middle East & Africa are witnessing gradual growth, supported by increasing investments in smart mobility solutions and infrastructure development. Each region presents unique opportunities and challenges, making the global automotive software services market highly dynamic and competitive.
The automotive software services market is segmented by service type into consulting, integration, maintenance & support, managed services, and others. Consulting services play a crucial role in assisting automotive OEMs and suppliers in defining their digital transformation strategies, selecting appropriate software solutions, and ensuring regulatory compliance. The complexity of modern vehicle systems, coupled with the increasing importance of cybersecurity and functional safety, has made consulting services indispensable for automakers aiming to stay ahead in the rapidly evolving automotive landscape. As vehicles become more software-driven, the demand for expert guidance on architecture, platform selection, and technology integration is expected to rise steadily.
Integration services form the backbone of the au
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TwitterThis statistic shows the results of a survey conducted in the United States in 2018 on the agreement with statements regarding mobility. Some ** percent of respondents agreed with the statement "A car gives me the feeling of independence and freedom". The Survey Data Table for the Statista survey Cars & Mobility in the United States 2018 contains the complete tables for the survey including various column headings.
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A nationwide survey was conducted to understand car users’ beliefs, attitudes and behaviours towards passenger cars and how they view alternative modes of car usage such as car sharing.The data presented here focuses solely on older driver data from respondents aged 55-64, 65-74 and 75+ years of age in the original sample, representing a total of 739 individuals.
Three excel spreasheets cover questons 8, 15, 20, 21, 25-38 and 39-51 negating the survey qualifying question data and other question data that was not used within the paper.
A range of statistical tests were perfomed upon the data using SPSS
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The factory-of-the-future mobility solutions market was valued at $8,134.8 million in 2024 and is projected to grow at a CAGR of 19.94%, reaching $58,681.4 million by 2035.
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According to our latest research, the global Mobility Data Monetization Exchange market size reached USD 5.3 billion in 2024, reflecting robust activity driven by the increasing value of mobility data across industries. The market is projected to grow at a CAGR of 22.7% from 2025 to 2033, reaching a forecasted value of USD 41.1 billion by 2033. This remarkable growth is underpinned by the rising adoption of smart city initiatives, the proliferation of connected vehicles, and the growing demand for real-time data-driven insights across transportation, logistics, automotive, and insurance sectors.
The surge in demand for actionable mobility data is one of the primary growth factors for the Mobility Data Monetization Exchange market. As urbanization accelerates and cities become more interconnected, stakeholders across public and private sectors are increasingly recognizing the value of mobility data for optimizing transportation systems, reducing congestion, and enhancing urban planning. The integration of advanced analytics and AI-driven platforms enables organizations to extract meaningful insights from vast datasets, thereby unlocking new revenue streams and operational efficiencies. Furthermore, the expansion of Internet of Things (IoT) devices and connected infrastructure continues to drive the volume and granularity of mobility data available for monetization.
Another significant growth driver is the evolution of regulatory frameworks and data privacy standards, which are shaping the way mobility data is exchanged and monetized. With consumers and regulators demanding greater transparency and control over personal data, market participants are investing in secure, compliant data exchange platforms that facilitate trusted transactions between data owners and buyers. This trend is fostering innovation in platform design, data anonymization, and consent management, thereby expanding the addressable market for mobility data monetization solutions. As more organizations recognize the strategic value of sharing and leveraging mobility data within a secure ecosystem, the market is poised for sustained expansion.
Technological advancements in cloud computing, edge analytics, and telematics are further catalyzing the growth of the Mobility Data Monetization Exchange market. The proliferation of high-speed connectivity and real-time data processing capabilities is enabling seamless integration of diverse data sources, from vehicle telematics to passenger movement patterns. This interoperability allows for the creation of comprehensive data marketplaces where stakeholders can buy, sell, or trade data assets securely and efficiently. The ongoing digital transformation of transportation and logistics networks, coupled with the rise of autonomous vehicles and mobility-as-a-service (MaaS) platforms, is expected to fuel demand for advanced data exchange solutions in the coming years.
Regionally, North America currently leads the market, driven by early adoption of smart mobility technologies, a mature connected vehicle ecosystem, and significant investments by both public and private sector entities. However, Asia Pacific is expected to witness the fastest growth over the forecast period, fueled by rapid urbanization, government-led smart city projects, and increasing penetration of connected devices. Europe also holds a substantial share, supported by stringent data privacy regulations and strong collaborations between automotive, transportation, and technology firms. As regional markets mature and regulatory clarity improves, cross-border data exchange and monetization opportunities are expected to accelerate, further boosting global market growth.
The Mobility Data Monetization Exchange market can be segmented by component into platforms and services. The platform segment forms the backbone of the market, providing the core infrastructure for data collection, aggregation, processing, and exchange. These platforms are des
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A comprehensive multiview dataset for vehicle mobility analysis and repeater prediction. The dataset includes three complementary views:
Graph View. Vehicle trajectories represented as sequences of nodes (locations) with timestamps and directions.
Tabular View. Contextual features for each visit, including total distance, duration, overnight stays, and holiday indicators.
Temporal View. Daily aggregated traffic flow time-series data spanning from 2022 to 2024.
Variables:
The dataset includes three complementary views:
Graph View. Vehicle trajectories represented as sequences of nodes (locations) with timestamps and directions.
num_plate: Anonymized unique identifier for each vehicle.
route: List of camera nodes visited during the trip (e.g.,['NodeA', 'NodeB']).
times: List of time intervals (in minutes) associated with the traversal between nodes.
directions: List of binary indicators representing the direction of travel between nodes.
entry_date/exit_date: Timestamp of the first and last detection of the visit.
repeater: Binary target variable indicating whether the vehicle returned to the system in the future (True/False).
Tabular View. Contextual features for each visit, including total distance, duration, overnight stays, and holiday indicators.
total_distance: Estimated total distance traveled by the vehicle during the visit.
visit_time: Total duration of the visit in hours.
nights: Number of nights the vehicle stayed (inferred from entry/exit dates).
entry_day_of_week/exit_day_of_week: Day of the week for the entry and exit events.
entry_is_weekend/exit_is_weekend: Boolean indicating if the entry/exit occurred on a weekend.
entry_is_holiday/exit_is_holiday: Boolean indicating if the entry/exit occurred on a national holiday.
entry_is_high_season: Boolean indicating if the visit occurred during the peak tourism season (e.g., August).
entry_hour/exit_hour: Hour of the day (0-23) for entry and exit.
Temporal View. Daily aggregated traffic flow time-series data spanning from 2022 to 2024.
day: Date of the observation (YYYY-MM-DD).
count: Total number of unique vehicles detected in the system on that specific day.
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The size of the Car Mobility Aids market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX% during the forecast period.
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TwitterView Switch Mobility Automotive Limited import export trade data, including shipment records, HS codes, top buyers, suppliers, trade values, and global market insights.
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According to our latest research, the global automotive data sharing platform market size reached USD 4.2 billion in 2024, reflecting robust demand for connected vehicle technologies and data-driven automotive services. The market is expected to expand at a compound annual growth rate (CAGR) of 22.5% from 2025 to 2033, reaching an estimated USD 31.6 billion by 2033. This remarkable growth is primarily fueled by the transformative impact of data analytics, telematics, and the proliferation of connected vehicles, which are fundamentally changing how automotive stakeholders leverage data for business optimization and customer experience enhancement.
One of the primary growth drivers for the automotive data sharing platform market is the increasing integration of advanced telematics and IoT devices in modern vehicles. As the automotive industry shifts towards connected and autonomous vehicles, the volume and complexity of data generated by sensors, infotainment systems, and vehicle-to-everything (V2X) communication platforms are surging. Automakers and service providers are leveraging these platforms to collect, process, and share vehicle data, enabling real-time insights for predictive maintenance, fleet management, and enhanced in-vehicle experiences. The ability to harness and monetize this data has become a strategic imperative, driving significant investments in data sharing infrastructure and platforms.
Another crucial factor propelling market growth is the rising demand for Mobility as a Service (MaaS) and digital insurance models. Automotive data sharing platforms are facilitating seamless integration between vehicles, mobility service providers, and insurers, allowing for dynamic pricing, usage-based insurance, and personalized mobility solutions. The proliferation of ride-sharing, car-sharing, and subscription-based mobility services is further accelerating the need for interoperable data ecosystems. These platforms enable stakeholders to access real-time vehicle diagnostics, driver behavior analytics, and location-based services, thus creating new revenue streams and fostering innovation across the automotive value chain.
Furthermore, regulatory mandates and growing consumer awareness regarding vehicle safety, emissions, and data privacy are shaping the evolution of the automotive data sharing platform market. Governments worldwide are implementing stringent regulations around vehicle safety and emissions reporting, requiring automakers to maintain and share detailed data records. At the same time, consumers are increasingly demanding transparency and control over their vehicle data. This dual pressure is compelling automotive OEMs and technology providers to adopt secure, compliant, and user-centric data sharing solutions. The convergence of regulatory compliance and consumer expectations is expected to drive the adoption of advanced platforms that ensure data integrity, privacy, and interoperability.
From a regional perspective, North America currently leads the global automotive data sharing platform market, accounting for the largest revenue share in 2024. This dominance is attributed to the region's advanced automotive ecosystem, widespread adoption of connected vehicles, and robust investments in digital infrastructure. Europe follows closely, driven by stringent regulatory frameworks, a mature automotive industry, and a strong focus on sustainability and smart mobility. The Asia Pacific region is poised for the fastest growth over the forecast period, fueled by rapid urbanization, rising vehicle ownership, and increasing investments in smart transportation solutions. Latin America and the Middle East & Africa are also witnessing steady growth, supported by ongoing digital transformation initiatives and expanding automotive markets.
The automotive data sharing platform market is segmented by component into software, hardware, and services, each playing a critical role in enabling seamless data
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TwitterView details of Mitsubishi Electric Automotive Amer Buyer and Mitsubishi Electric Mobility Corp Supplier data to US (United States) with product description, price, date, quantity, major us ports, countries and more.
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TwitterAutomotive & Mobility Support Company Limited recorded an import turnover of USD 0 and an export turnover of USD 16,209.52 million between April 2025 and March 2026. Explore detailed trade value insights, supply chain analytics, HS code-wise data, shipment history, partner countries, customs trade values, top import and export commodities with pricing, buyers, suppliers, ports, and key competitors in null.