Components: Hardware: Includes mobile mapping systems, sensors, and other equipment Software: Includes software for data collection, processing, and visualization Services: Includes data collection, processing, and analysis servicesSolutions: Location-based: Provides location-based information and services Indoor mapping: Creates maps of indoor spaces Asset management: Helps manage assets and track their location 3D mapping: Creates 3D models of buildings and infrastructureApplications: Land surveys: Used for surveying land and creating maps Aerial surveys: Used for surveying areas from the air Real estate & construction: Used for planning and designing buildings and infrastructure IT & telecom: Used for network planning and management Recent developments include: One of the pioneers in wearable mobile mapping technology, NavVis, revealed the NavVis VLX 3, their newest generation of wearable technology. As the name suggests, this is the third version of their wearable VLX system; the NavVis VLX 2 was released in July of 2021, which is over two years ago. In their news release, NavVis emphasises the NavVis VLX 3's improved accuracy in point clouds by highlighting the two brand-new, 32-layer lidars that have been "meticulously designed and crafted" to minimise noise and drift in point clouds while delivering "high detail at range.", According to the North American Mach9 Software Platform, mobile Lidar will produce 2D and 3D maps 30 times faster than current systems by 2023., Even though this is Mach9's first product launch, the business has already begun laying the groundwork for future expansion by updating its website, adding important engineering and sales professionals, relocating to new headquarters in Pittsburgh's Bloomfield area, and forging ties in Silicon Valley., In order to make search more accessible to more users in more useful ways, Google has unveiled a tonne of new search capabilities for 2022 spanning Google Search, Google Lens, Shopping, and Maps. These enhancements apply to Google Maps, Google Shopping, Google Leons, and Multisearch., A multi-year partnership to supply Velodyne Lidar, Inc.'s lidar sensors to GreenValley International for handheld, mobile, and unmanned aerial vehicle (UAV) 3D mapping solutions, especially in GPS-denied situations, was announced in 2022. GreenValley is already receiving sensors from Velodyne., The acquisition of UK-based GeoSLAM, a leading provider of mobile scanning solutions with exclusive high-productivity simultaneous localization and mapping (SLAM) programmes to create 3D models for use in Digital Twin applications, is expected to close in 2022 and be completed by FARO® Technologies, Inc., a global leader in 4D digital reality solutions., November 2022: Topcon donated to TU Dublin as part of their investment in the future of construction. Students learning experiences will be improved by instruction in the most cutting-edge digital building techniques at Ireland's first technical university., October 2022: Javad GNSS Inc has released numerous cutting-edge GNSS solutions for geospatial applications. The TRIUMPH-1M Plus and T3-NR smart antennas, which employ upgraded Wi-Fi, Bluetooth, UHF, and power management modules and integrate the most recent satellite tracking technology into the geospatial portfolio, are two examples of important items.. Key drivers for this market are: Improvements in GPS, LiDAR, and camera technologies have significantly enhanced the accuracy and efficiency of mobile mapping systems. Potential restraints include: The initial investment required for mobile mapping equipment, including sensors and software, can be a barrier for small and medium-sized businesses.. Notable trends are: Mobile mapping systems are increasingly integrated with cloud platforms and AI technologies to process and analyze large datasets, enabling more intelligent mapping and predictive analytics.

Cloud-Based Mapping Service Market Outlook

The global cloud-based mapping service market size was valued at approximately USD 3.5 billion in 2023 and is projected to reach around USD 8.9 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 11.2% during the forecast period. This remarkable growth is primarily driven by the increasing demand for real-time data access and navigation services across various sectors. Businesses and governments worldwide are increasingly leveraging cloud-based mapping services to optimize operations, improve customer experience, and enhance decision-making processes. The seamless integration of advanced technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) in mapping services is further boosting this market's expansion.

The integration of AI with cloud-based mapping services is one of the key growth factors for this market. AI technologies enhance the capabilities of cloud-based mapping services by providing intelligent insights and predictive analytics. For instance, AI can analyze traffic patterns and predict congestion, offering alternative routes and optimal travel paths. This is particularly beneficial for the transportation and logistics sectors, where time is of the essence. Furthermore, AI-driven mapping services can assist businesses in understanding consumer behavior and preferences, allowing for targeted marketing strategies and improved customer engagement. The ability of AI to process massive datasets quickly and accurately makes it a valuable tool in the cloud-based mapping service industry.

Another significant factor contributing to market growth is the rising adoption of IoT devices. IoT devices generate a vast amount of location-based data that can be effectively managed and utilized through cloud-based mapping services. These services enable businesses to track and monitor assets, vehicles, and personnel in real-time, leading to improved operational efficiency and reduced costs. For example, in the logistics sector, companies can use cloud-based mapping services to optimize delivery routes and monitor vehicle conditions, thereby minimizing fuel consumption and enhancing customer satisfaction. The continuous evolution and proliferation of IoT devices are expected to drive further demand for cloud-based mapping services in the coming years.

The increasing reliance on mobile devices and the proliferation of high-speed internet connectivity are also significant growth drivers for the cloud-based mapping service market. With the widespread use of smartphones and tablets, consumers and businesses alike are accessing mapping services on-the-go, necessitating reliable cloud-based solutions. The availability of high-speed internet ensures seamless connectivity and real-time updates, enhancing user experience. This trend is particularly prominent in urban areas, where demand for navigation and location-based services is high. As mobile technology continues to evolve and internet infrastructure improves worldwide, the cloud-based mapping service market is poised for substantial growth.

The rise of URL Shortening Services has become increasingly relevant in the context of cloud-based mapping services. These services allow users to condense lengthy URLs into shorter, more manageable links, which is particularly useful for sharing location-based information. In industries such as logistics and transportation, where quick access to precise location data is crucial, URL shortening can streamline communication and improve efficiency. By integrating URL shortening with mapping services, businesses can enhance their digital marketing strategies and facilitate easier sharing of maps and navigation routes. This integration not only improves user experience but also supports the growing demand for seamless digital interactions in the mapping service market.

Service Type Analysis

The cloud-based mapping service market is segmented into several service types, each offering unique features and benefits to users. Mapping and navigation services are perhaps the most widely recognized and utilized among these. They provide users with detailed maps, directions, and navigation assistance, which are crucial for both consumers and businesses. These services cater to a wide array of applications, from personal navigation to complex logistics operations. As the demand for precise, real-time navigation grows, mapping and navigation services continue to be at the forefront of the cloud-based mapping industry. Their integrat

We seek to mitigate the challenges with web-scraped and off-the-shelf POI data, and provide tailored, complete, and manually verified datasets with Geolancer. Our goal is to help represent the physical world accurately for applications and services dependent on precise POI data, and offer a reliable basis for geospatial analysis and intelligence.

Our POI database is powered by our proprietary POI collection and verification platform, Geolancer, which provides manually verified, authentic, accurate, and up-to-date POI datasets.

Enrich your geospatial applications with a contextual layer of comprehensive and actionable information on landmarks, key features, business areas, and many more granular, on-demand attributes. We offer on-demand data collection and verification services that fit unique use cases and business requirements. Using our advanced data acquisition techniques, we build and offer tailormade POI datasets. Combined with our expertise in location data solutions, we can be a holistic data partner for our customers.

KEY FEATURES - Our proprietary, industry-leading manual verification platform Geolancer delivers up-to-date, authentic data points

• POI-as-a-Service with on-demand verification and collection in 170+ countries leveraging our network of 1M+ contributors

• Customise your feed by specific refresh rate, location, country, category, and brand based on your specific needs

• Data Noise Filtering Algorithms normalise and de-dupe POI data that is ready for analysis with minimal preparation

DATA QUALITY

Quadrant’s POI data are manually collected and verified by Geolancers. Our network of freelancers, maps cities and neighborhoods adding and updating POIs on our proprietary app Geolancer on their smartphone. Compared to other methods, this process guarantees accuracy and promises a healthy stream of POI data. This method of data collection also steers clear of infringement on users’ privacy and sale of their location data. These purpose-built apps do not store, collect, or share any data other than the physical location (without tying context back to an actual human being and their mobile device).

USE CASES

The main goal of POI data is to identify a place of interest, establish its accurate location, and help businesses understand the happenings around that place to make better, well-informed decisions. POI can be essential in assessing competition, improving operational efficiency, planning the expansion of your business, and more.

It can be used by businesses to power their apps and platforms for last-mile delivery, navigation, mapping, logistics, and more. Combined with mobility data, POI data can be employed by retail outlets to monitor traffic to one of their sites or of their competitors. Logistics businesses can save costs and improve customer experience with accurate address data. Real estate companies use POI data for site selection and project planning based on market potential. Governments can use POI data to enforce regulations, monitor public health and well-being, plan public infrastructure and services, and more. A few common and widespread use cases of POI data are:

• Navigation and mapping for digital marketplaces and apps.
• Logistics for online shopping, food delivery, last-mile delivery, and more.
• Improving operational efficiency for rideshare and transportation platforms.
• Demographic and human mobility studies for market consumption and competitive analysis.
• Market assessment, site selection, and business expansion.
• Disaster management and urban mapping for public welfare.
• Advertising and marketing deployment and ROI assessment.
• Real-estate mapping for online sales and renting platforms.About Geolancer

ABOUT GEOLANCER

Quadrant's POI-as-a-Service is powered by Geolancer, our industry-leading manual verification project. Geolancers, equipped with a smartphone running our proprietary app, manually add and verify POI data points, ensuring accuracy and authenticity. Geolancer helps data buyers acquire data with the update frequency suited for their specific use case.

The Indonesia Data Center Market is segmented by Hotspot (Greater Jakarta), by Data Center Size (Large, Massive, Medium, Mega, Small), by Tier Type (Tier 1 and 2, Tier 3, Tier 4) and by Absorption (Non-Utilized, Utilized). Market Volume in Megawatt (MW) is presented. Key Data Points observed include IT load capacity for existing and upcoming data centers, current and upcoming hotspots, average mobile data consumption, volume of fiber cable connectivity in KM, existing and upcoming submarine cables, rack space utilization, and number of data centers by tier.

In 2023, Google Maps was the most downloaded map and navigation app in the United States, despite being a standard pre-installed app on Android smartphones. Waze followed, with 9.89 million downloads in the examined period. The app, which comes with maps and the possibility to access information on traffic via users reports, was developed in 2006 by the homonymous Waze company, acquired by Google in 2013.

Usage of navigation apps in the U.S. As of 2021, less than two in 10 U.S. adults were using a voice assistant in their cars, in order to place voice calls or follow voice directions to a destination. Navigation apps generally offer the possibility for users to download maps to access when offline. Native iOS app Apple Maps, which does not offer this possibility, was by far the navigation app with the highest data consumption, while Google-owned Waze used only 0.23 MB per 20 minutes.

Usage of navigation apps worldwide In July 2022, Google Maps was the second most popular Google-owned mobile app, with 13.35 million downloads from global users during the examined month. In China, the Gaode Map app, which is operated along with other navigation services by the Alibaba owned AutoNavi, had approximately 730 million monthly active users as of September 2022.

Sourcing accurate and up-to-date demographics GIS data across Asia and MENA has historically been difficult for retail brands looking to expand their store networks in these regions. Either the data does not exist or it isn't readily accessible or updated regularly.

GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent geodemographic datasets across Asia and MENA at 150m x 150m grid levels in major cities and 1km grids outside of major cities.

With this information, brands can get a detailed understanding of who lives in a catchment, where they work and their spending potential which allows you to:

• Better understand your customers
• Identify optimal locations to expand your retail footprint
• Define sales territories for franchisees
• Run targeted marketing campaigns.

Premium demographics GIS data for Asia and MENA includes the latest estimates (updated annually) on:

1. Population (how many people live in your local catchment)
2. Demographics (who lives within your local catchment)
3. Worker population (how many people work within your local catchment)
4. Consuming Class and Premium Consuming Class (who can can afford to buy goods & services beyond their basic needs and /or shop at premium retailers)
5. Retail Spending (Food & Beverage, Grocery, Apparel, Other). How much are consumers spending on retail goods and services by category.

Primary Use Cases for GapMaps Demographics GIS Data:

1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
2. Customer Profiling: get a detailed understanding of the demographic profile of your customers, where they work and their spending potential
3. Analyse your trade areas at a granular 150m x 150m grid levels using all the key metrics
4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
5. Target Marketing: Develop effective marketing strategies to acquire more customers.

6. Integrate GapMaps demographic data with your existing GIS or BI platform to generate powerful visualizations.

7. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

8. Tenant Recruitment

9. Target Marketing

10. Market Potential / Gap Analysis

11. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

12. Customer Profiling

13. Target Marketing

14. Market Share Analysis

The Australia Data Center Market is segmented by Hotspot (Melbourne, Perth, Sydney), by Data Center Size (Large, Massive, Medium, Mega, Small), by Tier Type (Tier 1 and 2, Tier 3, Tier 4) and by Absorption (Non-Utilized, Utilized). Market Volume in Megawatt (MW) is presented. Key Data Points observed include IT load capacity for existing and upcoming data centers, current and upcoming hotspots, average mobile data consumption, volume of fiber cable connectivity in KM, existing and upcoming submarine cables, rack space utilization, and number of data centers by tier.

The stakeholder analysis related to automated and autonomous heavy-duty mobile machines (HDMMs) performed in the context of the doctoral research of ESR 1 in the MORE project funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 858101

The dataset was part of a mixed methods multiple case study and contains the results of the short survey as well as the interview transcripts. The dataset has been anonymised and/or pseudonymised to maintain context.

The dataset was collected between March 2022 and September 2022.

TagX Web Browsing Clickstream Data: Unveiling Digital Behavior Across North America and EU Unique Insights into Online User Behavior TagX Web Browsing clickstream Data offers an unparalleled window into the digital lives of 1 million users across North America and the European Union. This comprehensive dataset stands out in the market due to its breadth, depth, and stringent compliance with data protection regulations. What Makes Our Data Unique?

Extensive Geographic Coverage: Spanning two major markets, our data provides a holistic view of web browsing patterns in developed economies. Large User Base: With 300K active users, our dataset offers statistically significant insights across various demographics and user segments. GDPR and CCPA Compliance: We prioritize user privacy and data protection, ensuring that our data collection and processing methods adhere to the strictest regulatory standards. Real-time Updates: Our clickstream data is continuously refreshed, providing up-to-the-minute insights into evolving online trends and user behaviors. Granular Data Points: We capture a wide array of metrics, including time spent on websites, click patterns, search queries, and user journey flows.

Data Sourcing: Ethical and Transparent Our web browsing clickstream data is sourced through a network of partnered websites and applications. Users explicitly opt-in to data collection, ensuring transparency and consent. We employ advanced anonymization techniques to protect individual privacy while maintaining the integrity and value of the aggregated data. Key aspects of our data sourcing process include:

Voluntary user participation through clear opt-in mechanisms Regular audits of data collection methods to ensure ongoing compliance Collaboration with privacy experts to implement best practices in data anonymization Continuous monitoring of regulatory landscapes to adapt our processes as needed

Primary Use Cases and Verticals TagX Web Browsing clickstream Data serves a multitude of industries and use cases, including but not limited to:

Digital Marketing and Advertising:

Audience segmentation and targeting Campaign performance optimization Competitor analysis and benchmarking

E-commerce and Retail:

Customer journey mapping Product recommendation enhancements Cart abandonment analysis

Media and Entertainment:

Content consumption trends Audience engagement metrics Cross-platform user behavior analysis

Financial Services:

Risk assessment based on online behavior Fraud detection through anomaly identification Investment trend analysis

Technology and Software:

User experience optimization Feature adoption tracking Competitive intelligence

Market Research and Consulting:

Consumer behavior studies Industry trend analysis Digital transformation strategies

Integration with Broader Data Offering TagX Web Browsing clickstream Data is a cornerstone of our comprehensive digital intelligence suite. It seamlessly integrates with our other data products to provide a 360-degree view of online user behavior:

Social Media Engagement Data: Combine clickstream insights with social media interactions for a holistic understanding of digital footprints. Mobile App Usage Data: Cross-reference web browsing patterns with mobile app usage to map the complete digital journey. Purchase Intent Signals: Enrich clickstream data with purchase intent indicators to power predictive analytics and targeted marketing efforts. Demographic Overlays: Enhance web browsing data with demographic information for more precise audience segmentation and targeting.

By leveraging these complementary datasets, businesses can unlock deeper insights and drive more impactful strategies across their digital initiatives. Data Quality and Scale We pride ourselves on delivering high-quality, reliable data at scale:

Rigorous Data Cleaning: Advanced algorithms filter out bot traffic, VPNs, and other non-human interactions. Regular Quality Checks: Our data science team conducts ongoing audits to ensure data accuracy and consistency. Scalable Infrastructure: Our robust data processing pipeline can handle billions of daily events, ensuring comprehensive coverage. Historical Data Availability: Access up to 24 months of historical data for trend analysis and longitudinal studies. Customizable Data Feeds: Tailor the data delivery to your specific needs, from raw clickstream events to aggregated insights.

Empowering Data-Driven Decision Making In today's digital-first world, understanding online user behavior is crucial for businesses across all sectors. TagX Web Browsing clickstream Data empowers organizations to make informed decisions, optimize their digital strategies, and stay ahead of the competition. Whether you're a marketer looking to refine your targeting, a product manager seeking to enhance user experience, or a researcher exploring digital trends, our cli...

The survey draws on a probability sample of 1,297 adult Yemenis (18 years of age and older) with mobile phones, targeted across 21 governorates based on the latest population projections. Interviews were conducted over the phone in August and September 2022, using a questionnaire consisting of four sections mainly focusing on labor market experiences and food insecurity. Although the survey was implemented over the phone, it is expected to have adequate coverage of the target population, as mobile phone ownership was widespread in Yemen prior to the start of the conflict. According to the Household Budget survey of 2014, 81 percent of households owned a mobile phone. While there is no recent national level data on mobile phone ownership, representative data of areas under IRG control show that mobile phone ownership increased from 84 percent in 2014 to 92 percent in 2021 (Yemen Human Development Survey 2021). Additionally, a study comparing the number of mobile phones households owned in the World Food Programme (WFP) mobile Vulnerability Analysis and Mapping (mVAM) phone survey finds a similar number to that of the last nationally representative survey, the 2014 Household Budget Survey (HBS), except for some governorates where the number of mobile phones declined due to significant population migration.

In 2023, Nokia generated 22.26 billion euros in net sales, a decrease on the 24.9 billion generated the previous year. Nokia's history Founded in 1865, Nokia is a Finnish communications and information technology company. Over the years, Nokia has ventured into different markets: Nokia emerged as a global leader in the mobile market in the early days of the mobile and smartphone era. The company also played a key role in the development of GSM (Global System for Mobile Communications) in the late 1980s and early 1990s. Nokia was once the leading mobile phone vendor. However, due to slow adaptation to newer smartphone technologies, Nokia gradually lost its market-leading position to rivals like Samsung and Apple and its mobile business began to lose money. Nokia’s business evolution After the sale of its mobile devices division, Nokia focused on the data networking services and telecommunications equipment business through its subsidiary Nokia Networks. As of 2020, Nokia's Networks Business is the most revenue-generating business segment of Nokia. The company has also been involved in cloud computing and mapping applications. As one of the leading telecom infrastructure companies, Nokia faces competition from Huawei, Cisco, Ericsson, and Qualcomm.

The Report Covers US Telecom Industry Share and Companies. The Market is segmented by Service into Voice Services (Wired, Wireless), Data and Messaging Services, and OTT and Pay TV.

Sourcing accurate and up-to-date demographic data across Asia and MENA has historically been difficult for retail brands looking to expand their store networks in these regions. Either the data does not exist or it isn't readily accessible or updated regularly.

GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent demographic datasets across Asia and MENA at 150m x 150m grid levels in major cities and 1km grids outside of major cities.

With this information, brands can get a detailed understanding of who lives in a catchment, where they work and their spending potential which allows you to:

• Better understand your customers
• Identify optimal locations to expand your retail footprint
• Define sales territories for franchisees
• Run targeted marketing campaigns.

Premium demographics data for Asia and MENA includes the latest estimates (updated annually) on:

1. Population (how many people live in your local catchment)
2. Demographics (who lives within your local catchment)
3. Worker population (how many people work within your local catchment)
4. Consuming Class and Premium Consuming Class (who can can afford to buy goods & services beyond their basic needs and /or shop at premium retailers)
5. Retail Spending (Food & Beverage, Grocery, Apparel, Other). How much are consumers spending on retail goods and services by category.

Primary Use Cases for GapMaps Demographic Data:

1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
2. Customer Profiling: get a detailed understanding of the demographic profile of your customers, where they work and their spending potential
3. Analyse your trade areas at a granular 150m x 150m grid levels using all the key metrics
4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
5. Target Marketing: Develop effective marketing strategies to acquire more customers.

6. Integrate GapMaps demographic data with your existing GIS or BI platform to generate powerful visualizations.

7. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

8. Tenant Recruitment

9. Target Marketing

10. Market Potential / Gap Analysis

11. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

12. Customer Profiling

13. Target Marketing

14. Market Share Analysis

PlaceSense offers a robust and precise foot traffic data and mobility data solution, designed to empower businesses and organizations with actionable insights into location-based behavior.

Our dataset spans 3 years of historical data with a weekly resolution, ensuring detailed trend analysis and long-term strategic planning. Covering key markets across Germany, Netherlands, Austria, Switzerland, and Italy, PlaceSense data is ideal for companies operating in retail, commercial real estate, urban planning, and market research.

What Makes Our Foot Traffic Data Unique? PlaceSense stands out due to our commitment to data accuracy, scale, and privacy. We source data from over 22,000 apps, providing a diverse and representative sample that spans multiple industries and demographics.

Our advanced machine learning algorithms ensure a data accuracy of over 90% for our foot traffic values. Additionally, PlaceSense data is GDPR-compliant, guaranteeing that all insights are fully anonymized and aggregated, safeguarding user privacy while delivering precise and actionable information.

Data Sourcing: PlaceSense sources its data from a large and diverse panel of mobile applications, including weather, navigation, entertainment, and utilities apps, among others. These apps contribute billions of location signals daily, allowing us to construct a comprehensive and up-to-date view of human mobility patterns. This extensive data collection, combined with rigorous data cleansing and enrichment processes, ensures that our clients receive high-quality, reliable data tailored to their specific needs.

Primary Use-Cases: 1. Retail and Commercial Real Estate: PlaceSense data is invaluable for site selection, store performance analysis, and competitive benchmarking. Retailers and real estate developers can assess foot traffic trends, understand consumer behavior, and optimize their strategies based on real-world data. 2. Urban Planning and Smart Cities: City planners and local governments use our data to analyze pedestrian flow, optimize public spaces, and enhance infrastructure planning. Our insights help in understanding how people interact with urban environments, enabling data-driven decisions that improve city livability and sustainability. 3. Market Research and Consulting: Market researchers leverage our data to gain deep insights into consumer behavior, track emerging trends, and segment populations by demographics and location. This data supports accurate forecasting and strategic planning across various industries.

Integration with Broader Data Offering: This foot traffic data and mobility data product is a cornerstone of the PlaceSense suite, which also includes solutions for demographic analysis, catchment area insights, and visitor journey mapping. By integrating multiple data streams, PlaceSense provides a comprehensive view of how people move, where they go, and what drives their decisions. Whether used alone or in conjunction with our other data products, this dataset provides unparalleled insight into the dynamics of modern commerce and urban life.

PlaceSense’s Foot Traffic Data and Mobility Data is more than just numbers—it’s a strategic tool for understanding and predicting human movement across key European markets. With high accuracy, extensive coverage, and a focus on privacy, our data is trusted by leading brands, real estate developers, and city planners. Unlock the power of location data and drive your business forward with PlaceSense.