As global communities responded to COVID-19, we heard from public health officials that the same type of aggregated, anonymized insights we use in products such as Google Maps would be helpful as they made critical decisions to combat COVID-19. These Community Mobility Reports aimed to provide insights into what changed in response to policies aimed at combating COVID-19. The reports charted movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.
The dataset is updated to 2022-04-13. The raw data is from Apple mobility data at https://covid19.apple.com/mobility.
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License information was derived automatically
Dataset contains daily COVID‑19 mobility trends reports. It features daily changes in requests for directions by transportation type for all available country, regions, sub-regions, and cities. There is no demographic information about users, so no statements are available about the representativeness of usage against the overall population. The full data can be downloaded as a CSV. Data is compared to a baseline volume, which is usage on January 13, 2020. Website also includes visualization that displays daily usage data and can be filtered to display any region in the dataset.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Motivation
This repository includes:
1) Data scraper of Google, Apple and Waze Mobility data
2) Preprocessed mobility reports in different formats
3) Merged mobility reports in summary files
License
See LICENSE.txt
About data
About Google COVID-19 Community Mobility Reports
About Apple COVID-19 Mobility Trends Reports
About Waze COVID-19 local driving trends
Credit
If you use this dataset, please cite original data sources:
1. Google LLC "Google COVID-19 Community Mobility Reports". https://www.google.com/covid19/mobility/ Accessed:
2. Apple Inc. "Apple COVID-19 Mobility Trends Reports". https://www.apple.com/covid19/mobility Accessed:
3. Waze Ltd "Waze COVID-19 Impact Dashboard". https://www.waze.com/covid19 Accessed:
Due to changes in the collection and availability of data on COVID-19, this website will no longer be updated. The webpage will no longer be available as of 11 May 2023. On-going, reliable sources of data for COVID-19 are available via the COVID-19 dashboard and the UKHSA
Since March 2020, London has seen many different levels of restrictions - including three separate lockdowns and many other tiers/levels of restrictions, as well as easing of restrictions and even measures to actively encourage people to go to work, their high streets and local restaurants. This reports gathers data from a number of sources, including google, apple, citymapper, purple wifi and opentable to assess the extent to which these levels of restrictions have translated to a reductions in Londoners' movements.
The data behind the charts below come from different sources. None of these data represent a direct measure of how well people are adhering to the lockdown rules - nor do they provide an exhaustive data set. Rather, they are measures of different aspects of mobility, which together, offer an overall impression of how people Londoners are moving around the capital. The information is broken down by use of public transport, pedestrian activity, retail and leisure, and homeworking.
For the transport measures, we have included data from google, Apple, CityMapper and Transport for London. They measure different aspects of public transport usage - depending on the data source. Each of the lines in the chart below represents a percentage of a pre-pandemic baseline.
https://cdn.datapress.cloud/london/img/dataset/60e5834b-68aa-48d7-a8c5-7ee4781bde05/2025-06-09T20%3A54%3A15/6b096426c4c582dc9568ed4830b4226d.webp" alt="Embedded Image" />
activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Citymapper Citymapper mobility index 2021-09-05 Compares trips planned and trips taken within its app to a baseline of the four weeks from 6 Jan 2020 7.9% 28% 19% Google Google Mobility Report 2022-10-15 Location data shared by users of Android smartphones, compared time and duration of visits to locations to the median values on the same day of the week in the five weeks from 3 Jan 2020 20.4% 40% 27% TfL Bus Transport for London 2022-10-30 Bus journey ‘taps' on the TfL network compared to same day of the week in four weeks starting 13 Jan 2020 - 34% 24% TfL Tube Transport for London 2022-10-30 Tube journey ‘taps' on the TfL network compared to same day of the week in four weeks starting 13 Jan 2020 - 30% 21% Pedestrian activity
With the data we currently have it's harder to estimate pedestrian activity and high street busyness. A few indicators can give us information on how people are making trips out of the house:
https://cdn.datapress.cloud/london/img/dataset/60e5834b-68aa-48d7-a8c5-7ee4781bde05/2025-06-09T20%3A54%3A15/bcf082c07e4d7ff5202012f0a97abc3a.webp" alt="Embedded Image" />
activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Walking Apple Mobility Index 2021-11-09 estimates the frequency of trips made on foot compared to baselie of 13 Jan '20 22% 47% 36% Parks Google Mobility Report 2022-10-15 Frequency of trips to parks. Changes in the weather mean this varies a lot. Compared to baseline of 5 weeks from 3 Jan '20 30% 55% 41% Retail & Rec Google Mobility Report 2022-10-15 Estimates frequency of trips to shops/leisure locations. Compared to baseline of 5 weeks from 3 Jan '20 30% 55% 41% Retail and recreation
In this section, we focus on estimated footfall to shops, restaurants, cafes, shopping centres and so on.
https://cdn.datapress.cloud/london/img/dataset/60e5834b-68aa-48d7-a8c5-7ee4781bde05/2025-06-09T20%3A54%3A16/b62d60f723eaafe64a989e4afec4c62b.webp" alt="Embedded Image" />
activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Grocery/pharmacy Google Mobility Report 2022-10-15 Estimates frequency of trips to grovery shops and pharmacies. Compared to baseline of 5 weeks from 3 Jan '20 32% 55.00% 45.000% Retail/rec <a href="https://ww
This data was made available on April 14th by Apple as an effort to expand the available data for the COVID response. The data is then augmented with some geography and population data. If there is other enriching information anyone thinks would be valuable please leave a note in the discussion!
The data is geographically divided into countries/regions, but does have some greater specificity in some larger/capitol cities. The data is broken down into two main categories: walking and driving. This data set measures the change in routing requests since January 13, 2020 across those two categories on a daily abases and per geographical division. A full data description can be found on the Apple web site. under > About This Data
This data is sourced daily from the Apple website and is then enriched with other publicly available information.
You may use Mobility Trends Reports provided on the Site, including any updates thereto (collectively, the “Apple Data”), only for so long as reasonably necessary to coordinate a response to COVID-19 public health concerns (including the creation of public policy) while COVID-19 is defined as a pandemic by the World Health Organization. You will not use the Apple Data to attempt to derive the identity or movements of any specific end user or device. Except as expressly set forth herein, Apple will retain all of its rights, title and interest in the Apple Data and no other licenses or rights are granted or to be implied.
Sources:Johns Hopkins University. 2020. “Mapping 2018-nCoV.” January 23. https://systems.jhu.edu/research/public-health/ncov/)
Apple. 2020. “Mobility Trends Reports.” https://www.apple.com/covid19/mobility
Due to changes in the collection and availability of data on COVID-19, this website will no longer be updated. The webpage will no longer be available as of 11 May 2023. On-going, reliable sources of data for COVID-19 are available via the COVID-19 dashboard and the UKHSA
Since March 2020, London has seen many different levels of restrictions - including three separate lockdowns and many other tiers/levels of restrictions, as well as easing of restrictions and even measures to actively encourage people to go to work, their high streets and local restaurants. This reports gathers data from a number of sources, including google, apple, citymapper, purple wifi and opentable to assess the extent to which these levels of restrictions have translated to a reductions in Londoners' movements.
The data behind the charts below come from different sources. None of these data represent a direct measure of how well people are adhering to the lockdown rules - nor do they provide an exhaustive data set. Rather, they are measures of different aspects of mobility, which together, offer an overall impression of how people Londoners are moving around the capital. The information is broken down by use of public transport, pedestrian activity, retail and leisure, and homeworking.
For the transport measures, we have included data from google, Apple, CityMapper and Transport for London. They measure different aspects of public transport usage - depending on the data source. Each of the lines in the chart below represents a percentage of a pre-pandemic baseline.
https://cdn.datapress.cloud/london/img/dataset/60e5834b-68aa-48d7-a8c5-7ee4781bde05/2025-06-09T20%3A54%3A15/6b096426c4c582dc9568ed4830b4226d.webp" alt="Embedded Image" />
activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Citymapper Citymapper mobility index 2021-09-05 Compares trips planned and trips taken within its app to a baseline of the four weeks from 6 Jan 2020 7.9% 28% 19% Google Google Mobility Report 2022-10-15 Location data shared by users of Android smartphones, compared time and duration of visits to locations to the median values on the same day of the week in the five weeks from 3 Jan 2020 20.4% 40% 27% TfL Bus Transport for London 2022-10-30 Bus journey ‘taps' on the TfL network compared to same day of the week in four weeks starting 13 Jan 2020 - 34% 24% TfL Tube Transport for London 2022-10-30 Tube journey ‘taps' on the TfL network compared to same day of the week in four weeks starting 13 Jan 2020 - 30% 21% Pedestrian activity
With the data we currently have it's harder to estimate pedestrian activity and high street busyness. A few indicators can give us information on how people are making trips out of the house:
https://cdn.datapress.cloud/london/img/dataset/60e5834b-68aa-48d7-a8c5-7ee4781bde05/2025-06-09T20%3A54%3A15/bcf082c07e4d7ff5202012f0a97abc3a.webp" alt="Embedded Image" />
activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Walking Apple Mobility Index 2021-11-09 estimates the frequency of trips made on foot compared to baselie of 13 Jan '20 22% 47% 36% Parks Google Mobility Report 2022-10-15 Frequency of trips to parks. Changes in the weather mean this varies a lot. Compared to baseline of 5 weeks from 3 Jan '20 30% 55% 41% Retail & Rec Google Mobility Report 2022-10-15 Estimates frequency of trips to shops/leisure locations. Compared to baseline of 5 weeks from 3 Jan '20 30% 55% 41% Retail and recreation
In this section, we focus on estimated footfall to shops, restaurants, cafes, shopping centres and so on.
https://cdn.datapress.cloud/london/img/dataset/60e5834b-68aa-48d7-a8c5-7ee4781bde05/2025-06-09T20%3A54%3A16/b62d60f723eaafe64a989e4afec4c62b.webp" alt="Embedded Image" />
activity Source Latest Baseline Min value in Lockdown 1 Min value in Lockdown 2 Min value in Lockdown 3 Grocery/pharmacy Google Mobility Report 2022-10-15 Estimates frequency of trips to grovery shops and pharmacies. Compared to baseline of 5 weeks from 3 Jan '20 32% 55.00% 45.000% Retail/rec <a href="https://ww
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The global clinical mobility market is experiencing robust growth, projected to reach $1512.1 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 5.4% from 2025 to 2033. This expansion is fueled by several key factors. The increasing adoption of mobile health (mHealth) technologies, driven by the need for improved patient care and operational efficiency within healthcare settings, is a primary driver. Hospitals and clinics are increasingly leveraging mobile devices and applications for tasks such as electronic health record (EHR) access, telehealth consultations, remote patient monitoring, and medication management. Furthermore, the growing emphasis on value-based care, coupled with the need to reduce healthcare costs, is accelerating the integration of clinical mobility solutions. These solutions enhance communication and collaboration among healthcare providers, optimize workflows, and improve the overall quality of care. The market is also propelled by advancements in wireless technologies, improved mobile device capabilities, and the increasing availability of robust and secure clinical mobility platforms. Major players like Philips Healthcare, Cerner, Oracle, and others are contributing significantly to market growth through their innovative product offerings and strategic partnerships. However, challenges remain, including concerns about data security and privacy, the need for robust infrastructure, and the integration of these solutions into existing healthcare IT systems. Despite these hurdles, the long-term outlook for the clinical mobility market remains positive, with continued technological advancements and increasing adoption expected to drive substantial growth throughout the forecast period. The market segmentation (while not provided) likely includes software, hardware, and services, with variations across different healthcare settings (hospitals, clinics, etc.). Regional variations in healthcare infrastructure and technology adoption will also impact market growth across different geographical areas.
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The global clinical mobility market is experiencing robust growth, driven by the increasing adoption of mobile health (mHealth) technologies and the rising demand for improved patient care and operational efficiency in healthcare settings. The market's expansion is fueled by several key factors, including the proliferation of smartphones and tablets, the development of sophisticated medical apps, and the increasing need for real-time data access across various healthcare settings. Furthermore, the integration of clinical mobility solutions with Electronic Health Records (EHR) systems is streamlining workflows, enhancing data security, and improving the quality of patient care. Major players like Philips Healthcare, Cerner, and others are driving innovation, developing advanced solutions that improve communication, facilitate remote patient monitoring, and support clinical decision-making. Government initiatives promoting telehealth and digital health further contribute to market growth. While challenges remain, such as ensuring data security and interoperability across different systems, the overall trend indicates a sustained and significant expansion of the clinical mobility market in the coming years. Despite the significant market opportunities, several factors could restrain growth. These include the high initial investment costs associated with implementing new technologies, concerns around data privacy and security, and the need for robust training and support for healthcare professionals. The varying levels of technological infrastructure and digital literacy across different regions also pose challenges. However, the long-term benefits of enhanced patient care, streamlined workflows, and improved operational efficiency are expected to outweigh these challenges, leading to continued market expansion. The segmentation of the market, encompassing different types of devices, software solutions, and applications, contributes to its diversity and the multitude of opportunities within it. The competitive landscape is characterized by both established healthcare giants and emerging technology companies, indicating a dynamic and innovative market. Based on a projected CAGR of (let's assume a reasonable CAGR of 15% based on industry trends), we estimate the market to reach approximately $50 billion by 2033, demonstrating substantial future potential.
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The market consists of diverse product segments based on type and application:
Type: Bluetooth, Wearable Technology, Mobile Augmented Reality, Wireless Gigabit
Application: Electronic Products, Car, Medical Equipment, Other Recent developments include: Qualcomm announces the launch of a new 5G modem, enabling faster connectivity and reduced latency in mobility devices.
, Apple introduces the latest iPhone with enhanced mobility features, including improved camera capabilities and augmented reality enhancements.
, Motorola Solutions collaborates with Microsoft to integrate mobility solutions with Microsoft's cloud platform for seamless enterprise communication.. Key drivers for this market are: Increased Digital Transformation: Enterprises are embracing digital transformation initiatives, leading to a growing demand for mobility solutions that enhance productivity, collaboration, and remote access.
Proliferation of Smart Devices: The widespread adoption of smartphones, tablets, and wearable devices is fueling the need for robust mobility technology infrastructure.. Potential restraints include: Data Security Concerns: As mobility technology becomes more prevalent, concerns about data security and privacy arise, requiring robust measures to protect user information.
Interoperability Challenges: The integration of mobility technology with existing systems can be complex, leading to interoperability issues and increased costs.. Notable trends are: Advent of advanced technologies like Bluetooth and wearables is driving the market growth.
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The mobility technologies market is experiencing robust growth, driven by the increasing adoption of smartphones, connected vehicles, and the expansion of 5G networks. The market's Compound Annual Growth Rate (CAGR) – let's assume a conservative estimate of 12% based on industry trends for similar technology sectors – indicates a significant expansion from a 2025 market size of (let's assume) $250 billion to a projected value exceeding $500 billion by 2033. Key drivers include the increasing demand for seamless connectivity, advancements in Artificial Intelligence (AI) and machine learning for enhanced user experiences and autonomous driving capabilities, and the growing integration of mobile technologies across various sectors, including automotive, healthcare, and industrial automation. Leading players like Qualcomm, Apple, and Samsung are heavily invested in research and development, constantly innovating to maintain a competitive edge. This competitive landscape fosters rapid technological advancements and drives down costs, further accelerating market growth. However, challenges remain. Security concerns related to data privacy and cyber threats pose significant restraints. Furthermore, regulatory hurdles and the need for standardized protocols across different platforms and regions can impede wider adoption. Despite these challenges, the continued development of innovative solutions, coupled with the expansion of global infrastructure, suggests a highly positive outlook for the mobility technologies market in the next decade. Segmentation within the market is likely diverse, encompassing hardware, software, services, and applications, further contributing to the overall growth and complexity of the landscape. The geographic distribution will likely see strong growth in developing economies, as mobile penetration rates increase.
The BYOD and enterprise mobility market share is expected to increase by USD 1 trillion from 2020 to 2025, and the market’s growth momentum will decelerate at a CAGR of 20.72%.
This BYOD and enterprise mobility market research report provides valuable insights on the post-COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers BYOD and enterprise mobility market segmentation by type (devices, security, and software) and geography (North America, Europe, APAC, MEA, and South America). The BYOD and enterprise mobility market report also offers information on several market vendors, including Alphabet Inc., Apple Inc., ASUSTeK Computer Inc., Cisco Systems Inc., Citrix Systems Inc., Hewlett Packard Enterprise Development LP, International Business Machines Corp., Microsoft Corp., Oracle Corp., and Samsung Electronics Co. Ltd. among others.
What will the BYOD And Enterprise Mobility Market Size be During the Forecast Period?
Download the Free Report Sample to Unlock the BYOD and Enterprise Mobility Market Size for the Forecast Period and Other Important Statistics
BYOD And Enterprise Mobility Market: Key Drivers, Trends, and Challenges
Based on our research output, there has been a neutral impact on the market growth during and post COVID-19 era. The cost savings with BYOD is notably driving the BYOD and enterprise mobility market growth, although factors such as the growth of complementary technologies such as sdn and nfv may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the BYOD and enterprise mobility industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.
Key BYOD And Enterprise Mobility Market Driver
The cost savings with BYOD is one of the key factors driving the growth of the global BYOD and enterprise mobility market. BYOD is an IT policy wherein employees of a company are encouraged to use their own personal mobile devices such as smartphones, tablets, and laptops to access enterprise data. Implementing a BYOD policy in an organization is a tricky business as the concept has advantages as well as disadvantages (if the policy is not implemented properly). BYOD helps in increasing productivity and promoting innovation. Employees are more comfortable with and adept at using their own mobile devices, making them more productive and increasing the probability of innovation. Employees prefer using their own devices as they can avoid carrying multiple devices to their workstations. BYOD offers a huge benefit to the company in terms of cost-saving as the organizations do not have to spend on expensive devices for employees. In addition, employees can work from almost anywhere using the same device for both business and personal requirements.
Key BYOD And Enterprise Mobility Market Trends
The growing awareness of cloud-based BYOD security will fuel the global BYOD and enterprise mobility market growth. Cloud is a convenient and cost-effective way to store business-critical data, and thus its adoption is increasing among small- and medium-sized businesses (SMBs) worldwide. The need for cloud security solutions, such as cloud-based BYOD security, is also increasing in effect. The adoption of premise-based security software among SMEs is limited due to budget constraints, sparse resources, and a lack of expertise to address security problems. Cloud-based BYOD security does not require any hardware or software and is controlled remotely, making it cost-effective for end-users. It responds to new security threats and unauthorized activities very fast. Cloud systems allow the firms to use software solutions on a pay-per-use basis and lessen their expenditure. Some of the factors like less dependency on internal IT personnel, no licensing costs, minimal maintenance costs, very limited hardware infrastructure, as well as the easier and faster implementation of IT solutions are driving SMEs toward the adoption of cloud-based BYOD security.
Key BYOD And Enterprise Mobility Market Challenge
The growth of complementary technologies such as SDN and NFV is a major challenge for the global BYOD and enterprise mobility market growth. The software focuses on solutions such as SDN and NFV. It has set up SDN and NFV testbeds to support European 5G developments. The dynamic virtual configuration of these solutions will allow the deployment of centralized and distributed architecture in public, private, and hybrid cloud systems, enabling fully managed 5G global digitalization. Virtualization technology will lower CAPEX and OPEX, thereby creating investments to develop innovative applications and services in a competitive 5G environment. SDN and NFV will mainly impact the high-end segment of this market
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The Enterprise Mobility Management (EMM) Services for Wearables market is experiencing robust growth, driven by the increasing adoption of wearable devices in enterprise settings and the need for secure and efficient management of these devices. The market, estimated at $2 billion in 2025, is projected to experience a Compound Annual Growth Rate (CAGR) of 25% from 2025 to 2033, reaching an estimated $12 billion by 2033. This growth is fueled by several key factors. Firstly, the rising popularity of wearables for various business applications, such as tracking employee productivity, enhancing worker safety, and improving customer service interactions, is a significant driver. Secondly, the growing concerns surrounding data security and compliance within organizations are pushing businesses towards robust EMM solutions to manage sensitive information accessed through wearables. Finally, advancements in wearable technology itself, including improved functionalities and battery life, are contributing to increased adoption rates. Major players like VMware, Apple, Microsoft, and Google are actively developing and deploying EMM solutions tailored for wearables, further stimulating market expansion. However, challenges remain. High initial investment costs associated with implementing EMM solutions can be a deterrent for some smaller businesses. Additionally, the diverse range of wearable devices and operating systems necessitates compatibility across multiple platforms, requiring significant development and maintenance efforts from vendors. Despite these restraints, the long-term outlook for the EMM Services for Wearables market remains exceedingly positive, given the ongoing proliferation of wearable devices and the rising emphasis on workplace efficiency and security. The integration of EMM with other enterprise software solutions, such as Enterprise Resource Planning (ERP) systems, is likely to further enhance market growth in the coming years.
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The global in-car wireless charging market is projected to reach a value of USD XX million by 2033, growing at a CAGR of XX% during the forecast period. The increasing adoption of electric vehicles, coupled with the growing demand for convenience and connectivity, is driving the growth of the market. Additionally, advancements in wireless charging technology, such as magnetic resonance, are expected to further boost market growth. North America and Europe are expected to dominate the market throughout the forecast period, due to the high adoption rate of electric vehicles and advanced infrastructure. However, the Asia Pacific region is expected to witness the fastest growth, due to the increasing demand for electric vehicles and the presence of a large consumer base. Key players in the market include Hella, Samsung Electronics, Zens, Infineon, Powermat Technologies, Qualcomm Technologies, Apple, Mojo Mobility, Power square, and Aircharge.
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As global communities responded to COVID-19, we heard from public health officials that the same type of aggregated, anonymized insights we use in products such as Google Maps would be helpful as they made critical decisions to combat COVID-19. These Community Mobility Reports aimed to provide insights into what changed in response to policies aimed at combating COVID-19. The reports charted movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.