GapMaps Mobility Data by Azira provides actionable insights on consumer travel patterns at a global scale empowering Marketing and Operational Leaders to confidently reach, understand, and market to highly targeted audiences and optimize their business results.

Leverage the most reliable and compliant mobile device location/foot traffic dataset on the market!

Veraset Movement (GPS Mobility Data) offers unparalleled insights into footfall traffic patterns across nearly four dozen countries in Africa.

Covering 46+ countries, Veraset's Mobility Data draws on raw GPS data from tier-1 apps, SDKs, and aggregators of mobile devices to provide customers with accurate, up-to-the-minute information on human movement.

Ideal for ad tech, planning, retail, and transportation logistics, Veraset's Movement data (Mobility data) helps shape strategy and make impactful data-driven decisions.

Veraset’s Africa Movement Panel includes the following countries: - algeria-DZ - angola-AO - benin-BJ - botswana-BW - burkina faso-BF - burundi-BI - cameroon-CM - central african republic-CF - chad-TD - comoros-KM - congo-brazzaville-CG - congo-kinshasa-CD - djibouti-DJ - egypt-EG - eritrea-ER - ethiopia-ET - gabon-GA - gambia-GM - ghana-GH - guinea-bissau-GW - kenya-KE - lesotho-LS - liberia-LR - libya-LY - madagascar-MG - malawi-MW - mali-ML - mauritius-MU - morocco-MA - mozambique-MZ - namibia-NA - nigeria-NG - rwanda-RW - senegal-SN - seychelles-SC - sierra leone-SL - somalia-SO - south africa-ZA - south sudan-SS - tanzania-TZ - togo-TG - tunisia-TN - uganda-UG - zambia-ZM - zimbabwe-ZW

Companies use Veraset's Mobility Data for: - Advertising - Ad Placement, Attribution, and Segmentation - Audience Creation/Building - Dynamic Ad Targeting - Infrastructure Plans - Route Optimization - Public Transit Optimization - Credit Card Loyalty - Competitive Analysis - Risk assessment, Underwriting, and Policy Personalization - Enrichment of Existing Datasets - Trade Area Analysis - Predictive Analytics and Trend Forecasting

Quadrant provides Insightful, accurate, and reliable mobile location data.

Our privacy-first mobile location data unveils hidden patterns and opportunities, provides actionable insights, and fuels data-driven decision-making at the world's biggest companies.

These companies rely on our privacy-first Mobile Location and Points-of-Interest Data to unveil hidden patterns and opportunities, provide actionable insights, and fuel data-driven decision-making. They build better AI models, uncover business insights, and enable location-based services using our robust and reliable real-world data.

We conduct stringent evaluations on data providers to ensure authenticity and quality. Our proprietary algorithms detect, and cleanse corrupted and duplicated data points – allowing you to leverage our datasets rapidly with minimal processing or cleaning. During the ingestion process, our proprietary Data Filtering Algorithms remove events based on a number of both qualitative factors, as well as latency and other integrity variables to provide more efficient data delivery. The deduplicating algorithm focuses on a combination of four important attributes: Device ID, Latitude, Longitude, and Timestamp. This algorithm scours our data and identifies rows that contain the same combination of these four attributes. Post-identification, it retains a single copy and eliminates duplicate values to ensure our customers only receive complete and unique datasets.

We actively identify overlapping values at the provider level to determine the value each offers. Our data science team has developed a sophisticated overlap analysis model that helps us maintain a high-quality data feed by qualifying providers based on unique data values rather than volumes alone – measures that provide significant benefit to our end-use partners.

Quadrant mobility data contains all standard attributes such as Device ID, Latitude, Longitude, Timestamp, Horizontal Accuracy, and IP Address, and non-standard attributes such as Geohash and H3. In addition, we have historical data available back through 2022.

Through our in-house data science team, we offer sophisticated technical documentation, location data algorithms, and queries that help data buyers get a head start on their analyses. Our goal is to provide you with data that is “fit for purpose”.

Snapshot img

Enterprise Mobility Services Market Size 2024-2028

The enterprise mobility services market size is forecast to increase by USD 14.50 billion at a CAGR of 23.88% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing use of mobile devices in enterprises to enhance workforce productivity and efficiency. This trend is particularly prominent in regions with a high adoption rate of digital technologies and remote work arrangements. However, this shift towards enterprise mobility also presents challenges, as privacy and compliance risks become increasingly salient concerns. 
Organizations must ensure that their mobility strategies adhere to regulatory frameworks and address potential vulnerabilities, such as data breaches and unauthorized access. These concerns are further compounded by the proliferation of Bring Your Own Device (BYOD), which blur the lines between personal and corporate data. To capitalize on the opportunities presented by enterprise mobility services while mitigating risks, companies must invest in robust security solutions, including big data and cloud computing, and establish clear policies and guidelines for mobile device usage. This strategic approach will enable organizations to harness the power of mobile technologies to drive business growth and innovation, while safeguarding sensitive information and maintaining regulatory compliance.

What will be the Size of the Enterprise Mobility Services Market during the forecast period?

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The market encompasses a range of solutions enabling businesses to optimize the use of mobile devices, including smartphones, tablets, laptops, and Macs, for organizational communication and productivity. This market is driven by the BYOD trend, fueled by the widespread adoption of cloud technology and increasing internet penetration. The market facilitates remote access options, enabling a mobile workforce to collaborate effectively in industries such as IT and telecom, transportation and logistics, travel and hospitality, and more. Mobile apps are a significant component of the market, providing enhanced functionality and streamlined processes. Digital transformation continues to drive demand for these services, as businesses seek to improve operational efficiency and enhance the customer experience. Security remains a critical consideration in the market, with solutions addressing the unique challenges of managing mobile devices and ensuring data protection.

How is this Enterprise Mobility Services Industry segmented?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Large enterprises
  Small and medium sized enterprises


End-user

  BFSI
  Retail and e-commerce
  IT and telecom
  Healthcare and life sciences
  Government and others


Deployment

  Cloud
  On-premises


Component

  Solution
  Services


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  South America



  Middle East and Africa

By Application Insights

The large enterprises segment is estimated to witness significant growth during the forecast period. These services enable large organizations to enhance communication, collaboration, and productivity among their geographically dispersed workforce. The prevalence of mobile devices and the BYOD trend have made it necessary for businesses to provide secure access to corporate resources, applications, and data from employee-owned devices. This flexibility empowers employees to work remotely, attend virtual meetings, and collaborate in real time, leading to increased operational efficiency and organizational responsiveness. Cloud technology, including cloud-based applications and services, plays a significant role in these services. Security solutions, such as AI-powered authentication mechanisms and cryptographic hash, ensure the cybersecurity posture of these services against phishing attacks and mobile security protocols.

Enterprise mobility software, including workplace mobility services and wearable technologies, facilitate digital transformation initiatives across industries like IT and telecom, transportation and logistics, travel and hospitality, and more. Cloud computing, through Software-as-a-Service, allows for the integration of these services into various business processes, driving innovation and competitive advantage.

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The Large enterprises segment was valued at USD 1.91 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 31% to the growth of the global market d

This dataset estimates human mobility through origin destination (OD) movement flow among the Statistical Area 2 (SA2) regions in Queensland (QLD), connected by public transport (PT) networks. The SA2 regions of Queensland connected by buses, trains, trams and ferries have been used to evaluate OD movement flows. The passenger OD movement data among different stations (or the station-based OD flow) are first estimated using a statistical estimation methodology. The stations-based OD flow data are then translated into region-based OD matrices using the state-of-art method. For more information please see the original metadata file here. Human mobility data is a key ingredient in various areas and domains of research including epidemiology, policy and administration, criminology, transportation, logistics and supply chains, environmental management and, pollution and contamination. High quality human mobility data provided by telecommunication companies collected from call data records (CDRs) is available at prohibitive cost with restrictive licensing, keeping it out of reach for the majority of research community. On the other hand, there is an abundance of high-quality public data, reporting different aspects of mobility. Examples are the public transport patronage and information about the usage of the Australian road network. These datasets are collected by different organisations and government departments and are presented in various formats. For instance, data may be collected at different spatial (e.g. at state or postcode levels) and temporal scales and be presented in the form of passenger counts or aggregated movement flows. This dataset addresses the general lack of national scale comprehensive human mobility dataset in Australia by transforming available mobility data into a consistent format that is suitable for analysis in a broad range of research areas. Merging the various individual datasets into Australia's first comprehensive, national-scale human mobility data asset drastically improves the quality and coverage of existing datasets. The Mobility Australia project received investment (https://doi.org/10.47486/DP702) from the Australian Research Data Commons (ARDC). The ARDC is funded by the National Collaborative Research Infrastructure Strategy (NCRIS). The original data tables were structured in a matrix-like format. AURIN employed a methodology to merge diverse datasets into a comprehensive one, categorising based on transportation types (e.g., trains, buses, rails, ferries), years (e.g., 2019, 2020, 2021, etc.), and temporal scales (e.g., weekly, monthly, yearly). Subsequently, AURIN spatially enabled the original data by employing the 2021 edition of the Australian Statistical Geography Standard (ASGS). The flow between origin and destination pairs is visually represented using line geometry.

According to Cognitive Market Research, the global Mobility Software market size will be USD 19642.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 7857.00 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 5892.75 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 4517.78 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 982.13 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 392.85 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.2% from 2024 to 2031.
The On-premises category is the fastest growing segment of the Mobility Software industry

Market Dynamics of Mobility Software Market

Key Drivers for Mobility Software Market

Increased Smartphone Adoption to Boost Market Growth

Increased smartphone adoption is a significant driver of the Mobility Software Market as it expands the user base for mobile applications and services. With more people owning smartphones, businesses are compelled to develop mobility solutions that cater to a broader audience. These devices provide users with convenient access to information and services anytime, anywhere, enhancing their overall experience. Companies leverage mobile applications for various purposes, including customer engagement, remote work, and real-time data access. Additionally, the proliferation of smartphones encourages innovation in mobility software, leading to advanced features and functionalities that meet evolving consumer demands. This trend fosters a competitive environment, prompting businesses to invest more in mobility solutions to stay relevant and capture market share. For instance, SafeUP, a startup focused on community safety, has launched a unique app that enables women and girls to crowdsource their safety and support each other in real time. In recognition of the International Day for the Elimination of Violence Against Women, SafeUP announced a partnership with Moovit. This collaboration will allow SafeUP members to effortlessly plan their journeys and navigate public transportation more effectively.

Growing E-commerce Sector to Drive Market Growth

The growing e-commerce sector is a key driver of the Mobility Software Market, as businesses increasingly turn to mobile applications to enhance customer engagement and streamline operations. With the rise of online shopping, consumers now expect seamless, convenient, and personalized experiences on their mobile devices. Mobility software enables e-commerce companies to offer features such as mobile payments, real-time order tracking, and personalized recommendations, improving user satisfaction and loyalty. Additionally, the proliferation of smartphones and tablets has made it easier for customers to browse and shop online, further fueling demand for mobile solutions. As e-commerce continues to expand, businesses are investing in mobility software to optimize their mobile platforms, ensuring they remain competitive in a rapidly evolving digital marketplace.

Restraint Factor for the Mobility Software Market

High Development Costs will Limit Market Growth

High development costs are a significant restraint on the Mobility Software Market, as creating robust mobile applications requires substantial financial investment. This encompasses costs related to hiring skilled developers, designers, and testers, along with expenses for necessary technology infrastructure and tools. For small and medium-sized enterprises (SMEs), these high costs can be a barrier, limiting their ability to adopt and leverage mobility solutions effectively. Additionally, ongoing maintenance, updates, and security measures further contribute to the financial burden, deterring companies from fully committing to mobility software development. As a result, organizations may prioritize other investments or post...

Quadrant provides Insightful, accurate, and reliable mobile location data.

Our privacy-first mobile location data unveils hidden patterns and opportunities, provides actionable insights, and fuels data-driven decision-making at the world's biggest companies.

These companies rely on our privacy-first Mobile Location and Points-of-Interest Data to unveil hidden patterns and opportunities, provide actionable insights, and fuel data-driven decision-making. They build better AI models, uncover business insights, and enable location-based services using our robust and reliable real-world data.

We conduct stringent evaluations on data providers to ensure authenticity and quality. Our proprietary algorithms detect, and cleanse corrupted and duplicated data points – allowing you to leverage our datasets rapidly with minimal processing or cleaning. During the ingestion process, our proprietary Data Filtering Algorithms remove events based on a number of both qualitative factors, as well as latency and other integrity variables to provide more efficient data delivery. The deduplicating algorithm focuses on a combination of four important attributes: Device ID, Latitude, Longitude, and Timestamp. This algorithm scours our data and identifies rows that contain the same combination of these four attributes. Post-identification, it retains a single copy and eliminates duplicate values to ensure our customers only receive complete and unique datasets.

We actively identify overlapping values at the provider level to determine the value each offers. Our data science team has developed a sophisticated overlap analysis model that helps us maintain a high-quality data feed by qualifying providers based on unique data values rather than volumes alone – measures that provide significant benefit to our end-use partners.

Quadrant mobility data contains all standard attributes such as Device ID, Latitude, Longitude, Timestamp, Horizontal Accuracy, and IP Address, and non-standard attributes such as Geohash and H3. In addition, we have historical data available back through 2022.

Through our in-house data science team, we offer sophisticated technical documentation, location data algorithms, and queries that help data buyers get a head start on their analyses. Our goal is to provide you with data that is “fit for purpose”.

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.

The Daily Mobility Statistics were derived from a data panel constructed from several mobile data providers, a step taken to address the reduce the risks of geographic and temporal sample bias that would result from using a single data source. In turn, the merged data panel only included data from those mobile devices whose anonymized location data met a set of data quality standards, e.g., temporal frequency and spatial accuracy of anonymized location point observations, device-level temporal coverage and representativeness, spatial distribution of data at the sample and county levels. After this filtering, final mobility estimate statistics were computed using a multi-level weighting method that employed both device- and trip-level weights, thus expanding the sample represented by the devices in the data panel to the at-large populations of each state and county in the US.

Data analysis was conducted at the aggregate national, state, and county levels. To assure confidentiality and support data quality, no data were reported for a county if it had fewer than 50 devices in the sample on any given day.

Trips were defined as movements that included a stay of longer than 10 minutes at an anonymized location away from home. A movement with multiple stays of longer than 10 minutes--before returning home--was counted as multiple trips.

The Daily Mobility Statistics data on this page, which cover the COVID and Post-COVID periods, are experimental. Experimental data products are created using novel or exploratory data sources or methodologies that benefit data users in the absence of other statistically rigorous products, and they not meet all BTS data quality standards.

According to Cognitive Market Research, the global Managed Mobility Services market size is USD 6.9 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 24.3% from 2024 to 2031. Market Dynamics of Managed Mobility Services Market

Key Drivers for Managed Mobility Services Market

Growing Requirement for Compliance and Data Security - The need for managed mobility services is growing as a result of tightened regulations and growing awareness of data security dangers. Businesses from several industries concentrate on adhering to data protection laws and managing mobile devices securely. The growing number of mobile devices used for remote work highlights the need for strong security measures to protect important company information on these portable PCs. Providers of managed mobility services that provide all-inclusive security solutions, which are gaining popularity among companies trying to safeguard their information assets, are another indicator of the market's expansion.
Growing BYOD Adoption Across Several Industries

Key Restraints for Managed Mobility Services Market

Growing Concerns about Data Security and Privacy
Inability to Monitor Costs and Exercise Control Over Operations

Introduction of the Managed Mobility Services Market

The term "managed mobility services" (MMS) describes the practice of contracting out management duties and obligations to an outside vendor. It covers program and financial management services, device and system, sourcing and logistics, security and content, application and collaboration, and device and system. It helps with the procurement, provisioning, and maintenance of laptops, tablets, smartphones, and other devices that combine wireless and cellular connectivity. Along with implementing strong security measures to safeguard confidential company information and stop illegal access, it also helps to increase workplace productivity and efficiency. This lowers the chance of data breaches and other mishaps for businesses. One of the main reasons favorably impacting the market globally is the rapid digitization and a notable increase in the number of individuals working remotely. Furthermore, companies are beginning to embrace bring-your-own-device (BYOD) policies, which permit staff members to connect to company networks and access work-related apps using their laptops, tablets, and cellphones. The need for managed mobility services is being driven by this, as well as the growing use of mobile devices and the growing dependence of business operations on the outsourcing of IT services.

Enterprise Mobility Market size was valued at USD 42.23 Billion in 2023 and is projected to reach USD 420.68 Billion by 2030, growing at a CAGR of 29.6% during the forecast period 2024-2030.

Global Enterprise Mobility Market Drivers

The market drivers for the Enterprise Mobility Market can be influenced by various factors. These may include:

Workforce Flexibility: By allowing workers to work remotely, enterprise mobility solutions foster flexible work schedules and boost output.

Enhanced Employee Engagement: Higher levels of employee satisfaction and engagement are fostered by mobile access to work-related applications and resources.

Enhanced Cooperation: By providing mobile communication and collaboration capabilities, enterprise mobility enables smooth cooperation amongst geographically dispersed teams.

Improved Customer Experience: By enhancing the total customer experience, mobile-enabled business procedures and customer-facing apps raise client happiness and loyalty.

Cost savings: Enterprise mobility solutions help businesses save back on real estate and operating expenses by enabling remote work and decreasing the demand for physical office space.

Business Process Optimisation: Employees can accomplish activities more quickly when they have mobile access to company systems and data. This results in streamlined business processes and operational excellence.

Competitive Advantage: Businesses that use business mobility to their advantage are better equipped to respond swiftly to shifts in the market and provide their clients with cutting-edge solutions.

This data set contains household survey data from Census. The American Community Survey was developed by the Census Bureau to replace the long form of the decennial census program. The ACS is a large demographic survey collected throughout the year using mailed questionnaires, telephone interviews, and visits from Census Bureau field representatives to about 3.5 million household addresses annually. Starting in 2005, the ACS produced social, housing, and economic characteristic data for demographic groups in areas with populations of 65,000 or more. (Prior to 2005, the estimates were produced for areas with 250,000 or more population.) The ACS also accumulates sample over 3-year and 5-year intervals to produce estimates for smaller geographic areas, including census tracts and block groups.

Ireland Women, Business and the Law Index: Mobility Score data was reported at 100.000 Score in 2023. This stayed constant from the previous number of 100.000 Score for 2022. Ireland Women, Business and the Law Index: Mobility Score data is updated yearly, averaging 100.000 Score from Dec 1970 (Median) to 2023, with 54 observations. The data reached an all-time high of 100.000 Score in 2023 and a record low of 75.000 Score in 1986. Ireland Women, Business and the Law Index: Mobility Score data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ireland – Table IE.World Bank.WBL: Governance: Women, Business and the Law Index: Annual.

According to Cognitive Market Research, the global Enterprise Mobility market size will be USD 13521.5 million in 2025. It will expand at a compound annual growth rate (CAGR) of 24.10% from 2025 to 2033.

North America held the major market share for more than 40% of the global revenue with a market size of USD 5002.96 million in 2025 and will grow at a compound annual growth rate (CAGR) of 22.3% from 2025 to 2033.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 3921.24 million.
APAC held a market share of around 23% of the global revenue with a market size of USD 3245.16 million in 2025 and will grow at a compound annual growth rate (CAGR) of 27.3% from 2025 to 2033.
South America has a market share of more than 5% of the global revenue with a market size of USD 513.82 million in 2025 and will grow at a compound annual growth rate (CAGR) of 24.9% from 2025 to 2033.
The Middle East had a market share of around 2% of the global revenue and was estimated at a market size of USD 540.86 million in 2025 and will grow at a compound annual growth rate (CAGR) of 25.6% from 2025 to 2033.
Africa had a market share of around 1% of the global revenue and was estimated at a market size of USD 297.47 million in 2025 and will grow at a compound annual growth rate (CAGR) of 24.4% from 2025 to 2033.
Software category is the fastest growing segment of the Enterprise Mobility industry

Market Dynamics of Enterprise Mobility Market

Key Drivers for Enterprise Mobility Market

Increasing Adoption of Remote Work and Bring Your Own Device (BYOD) Policies to Boost Market Growth

The rapid shift toward remote work and flexible workforce models has significantly driven the demand for Enterprise Mobility Solutions. Companies are increasingly implementing Bring Your Own Device (BYOD) policies, allowing employees to use personal smartphones, tablets, and laptops for work. This enhances productivity, flexibility, and cost savings while ensuring seamless access to enterprise applications and data. Moreover, cloud computing and mobile device management (MDM) solutions enable secure and efficient remote work environments. Organizations are adopting secure access protocols, multi-factor authentication (MFA), and endpoint security solutions to protect corporate data from cyber threats. As businesses expand globally, enterprise mobility ensures real-time collaboration, workflow automation, and business continuity. For instance, IBM Corporation announced a multi-million-dollar investment to expand its capabilities and resources in cyber security and prepare organizations for dealing with the growing threat of cyberattacks across Asia Pacific. This will assist the company in improving its product portfolio for various solutions such as EMM, MTD, MIM, and MCM.

https://newsroom.ibm.com/2022-02-23-New-IBM-Cybersecurity-Hub-to-Help-Asia-Pacific-Organizations-Build-Cyber-Resiliency

Rising Integration of 5G and Edge Computing Technologies to Boost Market Growth

The advancement of 5G networks and edge computing is revolutionizing the Enterprise Mobility Market by providing ultra-fast connectivity, low latency, and real-time data processing. With the deployment of 5G, enterprises can seamlessly integrate mobile applications, cloud computing, and IoT-powered smart devices, enhancing workforce efficiency and operational agility. Edge computing further strengthens enterprise mobility by enabling data processing closer to the source, reducing reliance on centralized data centres and improving response times. This is particularly beneficial for industries such as healthcare, manufacturing, logistics, and retail, where real-time insights and decision-making are crucial. Enterprises are leveraging AI-driven mobile applications, predictive analytics, and automation to enhance productivity and customer experiences.

Restraint Factor for the Enterprise Mobility Market

High Implementation and Maintenance Costs Will Limit Market Growth

Deploying an enterprise mobility strategy requires substantial investment in mobile infrastructure, cloud storage, security solutions, and integration with existing IT systems. Small and medium-sized enterprises (SMEs) often struggle with the initial financial burden of acquiring mobile device management (MDM) software, virtual private networks (VPNs), and secure collaboration tools. Additionally, regular software updates, cybersecurity measur...

The Daily Mobility Statistics were derived from a data panel constructed from several mobile data providers, a step taken to address the reduce the risks of geographic and temporal sample bias that would result from using a single data source. In turn, the merged data panel only included data from those mobile devices whose anonymized location data met a set of data quality standards, e.g., temporal frequency and spatial accuracy of anonymized location point observations, device-level temporal coverage and representativeness, spatial distribution of data at the sample and county levels. After this filtering, final mobility estimate statistics were computed using a multi-level weighting method that employed both device- and trip-level weights, thus expanding the sample represented by the devices in the data panel to the at-large populations of each state and county in the US.

Data analysis was conducted at the aggregate national, state, and county levels. To assure confidentiality and support data quality, no data were reported for a county if it had fewer than 50 devices in the sample on any given day.

Trips were defined as movements that included a stay of longer than 10 minutes at an anonymized location away from home. A movement with multiple stays of longer than 10 minutes--before returning home--was counted as multiple trips.

The Daily Mobility Statistics data on this page, which cover the COVID and Post-COVID periods, are experimental. Experimental data products are created using novel or exploratory data sources or methodologies that benefit data users in the absence of other statistically rigorous products, and they not meet all BTS data quality standards.

The global business mobility market is projected to grow at a CAGR of XX% over the forecast period (2025-2033), from a value of XXX million in 2025 to XXX million by 2033. The increasing adoption of smartphones and tablets, as well as the rising need for mobile access to business applications, are key drivers of this growth. Additionally, the growing popularity of cloud-based mobility solutions is expected to further contribute to the market's expansion. North America is expected to hold the largest share of the business mobility market throughout the forecast period. However, Asia-Pacific is expected to witness the fastest growth due to the increasing adoption of mobile technologies in emerging economies. Key market players include 42Gears Mobility Systems, BlackBerry, Cisco, Citrix, IBM, Matrix42, Microsoft, Miradore, MobileIron, SAP SE, Social Mobile, SOTI Inc., Tus-NationSky Technology, Ventraq Corporation, and VMware. These companies are actively involved in developing and offering innovative business mobility solutions to cater to the evolving needs of enterprises. Business mobility empowers organizations to connect their employees with vital information and applications from anywhere, anytime. This report provides a comprehensive analysis of the global business mobility market, covering key segments, trends, and industry dynamics.

The transition towards Personal Data Ecosystems (PDEs) requires sustainable business models that balance data sovereignty between data subjects and providers. This research applies a business model perspective to data sovereignty and PDE research, offering a comprehensive framework for understanding the strategic decisions data providers make regarding data access control in PDEs. Concretely, we investigate the business dimensions that influence data providers' willingness to grant data access control to data subjects via a two-staged methodology. In a first step, 25 interviews identified key business dimensions, representing a trade-off between value proposition (user- and ecosystem value), value network (collaboration and competition), value finance (value capturing and privacy risk) and value architecture (coreness of data, level of processing of data). In a second stage, a use case analysis of the Personal Data Store (PDS) in a mobility PDE was performed, utilizing an Analytic Hierarchy Process (AHP) to quantify the preferences of data providers within a mobility ecosystem involving 21 mobility and data experts. This data shows the findings of the AHP analysis, which show value proposition and value finance are the most salient dimensions in this mobility ecosystem. The analytical hierarchical process (AHP) methodology was employed to research the preferences of data providers in the mobility ecosystem. In this work, the AHP was used to determine the preference of the business dimensions for granting data access control . The preferences of data providers were ranked by experts through a pairwise comparison .Next, respondents assessed the relative importance or preference using a numerical scale ranging from 1 to 9. The AHP was conducted throughout telephone interviews with 21 mobility and data experts in Belgium and the Netherlands. These pairwise comparisons are transformed into individual result matrices, which are used to calculate leading eigen vectors to determine the relative weights of the dimensions. The analysis was performed on a group level, avoiding bias that may be present when the judgements are considered from a single expert. The findings were examined within the overall group that encompassed all participants and within the MAAS and C-ITS subgroups. Using the geometric mean of the individual result matrices, the group matrices are calculated of the different stakeholder groups. The consistency ratio was calculated, for which 0.1 is considered to indicate a tolerable consistent ranking for grouped responses . The “ahpsurvey” package in R was used to analyze the results.

Polygon displaying the Dockless Mobility Program Equity Areas. The Dockless Mobility program requires scooter and e-bike companies to deploy 30% of their devices in equity areas defined by the City. Companies are required to deploy 5% of their devices in Arlandria, 15% west of Quaker and east of I-395, and 10% west of I-395

This static data concerns car parks in structures, surface car parks in enclosures and equipped with barriers as well as car parks on roadways. The territory concerned is the hyper center of Poitiers. The metadata describing the location data relates to the number, and type, of places available, the tariff range in force, information about the community.

Quadrant provides Insightful, accurate, and reliable mobile location data.

Our privacy-first mobile location data unveils hidden patterns and opportunities, provides actionable insights, and fuels data-driven decision-making at the world's biggest companies.

These companies rely on our privacy-first Mobile Location and Points-of-Interest Data to unveil hidden patterns and opportunities, provide actionable insights, and fuel data-driven decision-making. They build better AI models, uncover business insights, and enable location-based services using our robust and reliable real-world data.

We conduct stringent evaluations on data providers to ensure authenticity and quality. Our proprietary algorithms detect, and cleanse corrupted and duplicated data points – allowing you to leverage our datasets rapidly with minimal processing or cleaning. During the ingestion process, our proprietary Data Filtering Algorithms remove events based on a number of both qualitative factors, as well as latency and other integrity variables to provide more efficient data delivery. The deduplicating algorithm focuses on a combination of four important attributes: Device ID, Latitude, Longitude, and Timestamp. This algorithm scours our data and identifies rows that contain the same combination of these four attributes. Post-identification, it retains a single copy and eliminates duplicate values to ensure our customers only receive complete and unique datasets.

We actively identify overlapping values at the provider level to determine the value each offers. Our data science team has developed a sophisticated overlap analysis model that helps us maintain a high-quality data feed by qualifying providers based on unique data values rather than volumes alone – measures that provide significant benefit to our end-use partners.

Quadrant mobility data contains all standard attributes such as Device ID, Latitude, Longitude, Timestamp, Horizontal Accuracy, and IP Address, and non-standard attributes such as Geohash and H3. In addition, we have historical data available back through 2022.

Through our in-house data science team, we offer sophisticated technical documentation, location data algorithms, and queries that help data buyers get a head start on their analyses. Our goal is to provide you with data that is “fit for purpose”.