#gis for 5g network planning

[cyberswift-story]

GIS-Based Solutions for Efficient Telecom Network Management

The telecom industry is undergoing rapid transformation, driven by the increasing demand for seamless connectivity, efficient network management, and improved customer experience. As networks become more complex, the need for innovative solutions to manage these networks has never been greater. Geographic Information System (GIS)-based solutions have emerged as a game-changer in the telecom sector, offering a robust platform for managing, analyzing, and visualizing network data. This blog explores how GIS-based solutions can revolutionize telecom network management, ensuring efficiency and reliability.

Learn more at https://www.cyberswift.com/blog/telecom-utility-solution-a-brief-overview/

[lepton-software]

Join Lepton Software at India Mobile Congress 2024, (Official GIS Partner) as we showcase our GIS-Powered Telecom Solutions.

NetworkAccess - Fiber Planning & Design SmartCampus - 3D network planning rfMAP - 3D/2.5 Maps Coverage, RF Planning Tool. Click to learn more: https://leptonsoftware.com/

[allindustryforcastreports]

Global Geospatial Analytics Market – $33B (2024) to $56B by 2029, 11.1% CAGR

Segmentation Overview The geospatial analytics market is segmented by:

Type: Surface & field analytics; Geovisualization; Network analysis; Artificial neural networks; Others

Technology: Remote sensing; GPS; GIS; Others

Solutions: Geocoding & reverse geocoding; Reporting & visualization; Thematic mapping & spatial analysis; Data integration & ETL; Others

Applications: Surveying; Disaster risk reduction & management; Medicine & public safety; Climate change adaptation; Predictive asset management; Others

End-Users: Agriculture; Defense & intelligence; Utilities & communication; Automotive; Government; Travel & logistics; Others

Regions: North America; Latin America; Europe; Asia-Pacific; Middle East & Africa To buy the report, click on https://www.datamintelligence.com/buy-now-page?report=geospatial-analytics-market

Market Size & Forecast

The global geospatial analytics market is projected to expand at a CAGR of 12.8% between 2024 and 2031.

Other projections estimate market growth from USD 32.97 billion in 2024 to USD 55.75 billion by 2029.

A broader estimate values the market at USD 114.3 billion in 2024, expected to reach over USD 226.5 billion by 2030.

Introduction & Definition

Geospatial analytics is the process of gathering, interpreting, and visualizing location-based data—drawn from satellites, GPS, mobile devices, sensors, and social media—using GIS, AI, and computer vision. This powerful fusion helps governments and businesses gain real-time insights into transportation, urban planning, agriculture, disaster response, defense, utilities, and logistics.

Market Drivers & Restraints

Key Drivers:

Smart City Expansion: The proliferation of IoT sensors and connected devices in urban infrastructure drives demand for spatial analytics to manage traffic, utilities, public safety, and emergency planning.

Technological Integration: Advances in AI, 5G, satellite imaging, and edge computing enable high-resolution, real-time spatial decision-making.

Enterprise Adoption: Widespread demand for location intelligence across sectors—such as agriculture, defense, utilities, transportation, and retail—boosts comprehensive geospatial integration.

Restraints:

Privacy & Security: Handling sensitive spatial data raises concerns over surveillance, data protection, and regulatory compliance.

Data Complexity: Integrating varied data sources—maps, sensors, satellite imagery—remains a challenge due to formatting and standardization issues.

Cost & Skills Gap: High initial investment and talent shortages for GIS and AI expertise hinder full-scale adoption.

Segmentation Analysis

By Type: Surface & field analytics lead due to applications in topography, hydrology, and asset monitoring. Geovisualization supports urban planning and stakeholder communication.

By Technology: GIS dominates software solutions; GPS and remote sensing—particularly LiDAR, radar, and GNSS—are key data capture technologies.

By Solutions: Thematic mapping and ETL tools are in high demand for data-driven decisions across utilities, logistics, and infrastructure.

By Applications: Surveying, disaster mitigation, climate adaptation, asset management, medicine, and public safety are major application fields.

By End-Users: Agriculture (precision farming), defense (geospatial intelligence), utilities, transportation, government services, and logistics are top verticals.To get a free sample report, click on https://www.datamintelligence.com/download-sample/geospatial-analytics-market

Geographical Insights

North America: Holds the largest market share (~34% in 2024), driven by government and defense investments, smart cities, and GIS adoption.

Europe: Adoption spans from transport and delivery logistics to environmental tracking; EU programs boost earth observation and AI integration.

Asia-Pacific: Fastest-growing region due to rapid urbanization and expansion in countries like China, India, and Japan.

Middle East & Africa: High growth supported by smart city initiatives and infrastructure investments.

Recent Trends or News

AI-Embedded Spatial Tools: Major GIS platforms are embedding AI and machine learning for predictive analysis.

Mobile Mapping & 3D Scanning: Use of LiDAR-equipped vehicles and drones is increasing rapidly in infrastructure and mapping applications.

Pandemic & Disaster Applications: The pandemic accelerated use of geospatial analytics for vaccine distribution, health mapping, and crisis response.

Competitive Landscape

Leading companies in the geospatial analytics market include:

Microsoft

Google

General Electric (GE)

SAP

Salesforce

Precisely

Oracle

RMSI

OmniSci

Maxar Technologies

Hexagon AB

TomTom

Trimble

Esri

CARTO

Orbital Insight

These companies lead through AI-powered tools, cloud-native GIS, satellite imagery, mobile solutions, and strategic acquisitions.

Impact Analysis

Economic Impact: Geospatial analytics streamlines operations—optimizing routes, reducing resource wastage, and enhancing project ROI.

Environmental Impact: Unlocks data for spatial monitoring—supporting climate modeling, land-use mapping, environmental compliance, and disaster mitigation.

Social Impact: Shapes public health response systems, emergency services, and urban planning, while challenging privacy norms.

Technological Impact: Drives growth in cloud GIS, AI-engineered mapping, real-time analytics, and sensor networks, enabling scalable spatial insights.

Key Developments

GeoAnalytics Engine by Esri: An AI-integrated GIS platform for advanced spatial querying and real-time analytics.

Hexagon Captura Launch: Optical sensor-based system enhancing spatial measurement precision.

CADLM Acquisition by Hexagon: Adds simulation and reliability modeling for enhanced engineering workflows.

Orbital Insight Growth: Enhances satellite-based analytics capabilities through new partnerships and investment.

Report Features & Coverage

This market report includes:

Global and regional market sizing (2018–2024) with forecasts to 2031

In-depth segmentation by type, technology, solution, application, industry, and region

Competitive landscape with company profiling

Key trends, opportunities, and growth challenges

SWOT analysis, Porter’s Five Forces, and market attractiveness index

Recent innovations and investment updates

About Us

We are a global market intelligence firm committed to delivering in-depth insights across emerging technologies. Our expertise in geospatial analytics helps clients unlock data-driven innovation, streamline operations, and improve strategic planning across industries. We provide accurate forecasting, custom reports, and actionable guidance tailored to enterprise and government needs.

Contact Us

Email: info@datamintelligence.com

Phone: +1 877 441 4866

[rutkdm]

Asia Pacific Location Based Services Market

Meticulous Research®—a leading global market research company, published a research report titled, Asia-Pacific Location-based Services Market by Component, Technology (GNSS, GPS), Application (Navigation, Mapping & GIS), Location Type, End-use Industry (Transportation & Logistics, Retail & E-commerce), and Geography -Forecast to 2031.’

According to this latest publication from Meticulous Research®, the Asia-Pacific location-based services market is projected to reach $118.2 billion by 2031, at a CAGR of 17.3% from 2024–2031.The growth of the Asia-Pacific location-based services is driven by the proliferation of location-based services in the retail sector and the surging use of location-based services in the agriculture sector. However, dynamic government rules and regulations for location-based services restrain the growth of this market. Furthermore, constant upgrades in mapping and navigation solutions are expected to generate growth opportunities for the players operating in this market. However, the high costs of procuring and implementing location-based services are a major challenge impacting market growth. Additionally, the use of 5G technology for improved real-time analysis and the development of GIS software using augmented reality (AR)/virtual reality (VR) technologies are prominent trends in this market.

The Asia-Pacific location-based services market is segmented by component (platforms/solutions [location-powered mobile apps, location intelligence platforms, and location-based messaging] and professional services [mapping services, implementation & support, and consulting & development services]), technology (global navigation satellite system, global positioning system [assisted GPS and enhanced GPS], Wi-Fi, near-field communication, and other technologies), applications (navigation [smart parking, route planning, and other navigation applications], geo-marketing & advertising/target marketing, mapping & GIS, tracking [valuables & stolen goods tracking, pet tracking, parolees tracking, and child tracking], social networking [chat & instant messaging services, dating apps, and friend locator apps], infotainment, commercial applications, and other applications), location type (outdoor and indoor), end-use industry (government & public sector, transportation & logistics, smart cities, retail & E-commerce, consumer goods, media & entertainment, travel & tourism, BFSI, IT & telecom, healthcare, hospitality, aerospace & defense, energy & utilities, automotive, agriculture, education, and manufacturing), and country/region. The study also evaluates industry competitors and analyses the market at the country and regional levels.

Based on component, the Asia-Pacific location-based services market is segmented into platforms/solutions and professional services. In 2024, the platforms/solutions segment is expected to account for the larger share of the Asia-Pacific location-based services market. The large market share of this segment is attributed to the increasing focus by market players to launch location-based solutions, the increasing popularity of location-powered mobile apps, the growing need for location intelligence platforms to analyze and visualize geographic and location-based data, and the increasing adoption of location-based messaging platforms among consumers.

Also, this segment is projected to register the highest CAGR during the forecast period.

Based on technology, the Asia-Pacific location-based services market is segmented into global navigation satellite systems, global positioning systems, Wi-Fi, near-field communication, and other technologies. In 2024, the global navigation satellite system segment is expected to account for the largest share of the Asia-Pacific location-based services market. The large market share of this segment is attributed to the diverse range of applications of GNSS, including precise positioning and real-time location tracking. Additionally, the growing demand for location-based advertising and the increasing need for GNSS in asset management contributes to the significant market share of this segment.

Additionally, this segment is projected to register the highest CAGR during the forecast period.

Based on application, the Asia-Pacific location-based services market is segmented into navigation, geo-marketing & advertising/target marketing, mapping & GIS, tracking, social networking, infotainment, infotainment, and other applications. In 2024, the navigation segment is expected to account for the largest share of the Asia-Pacific location-based services market. The segment’s large market share is attributed to the rapid implementation of comprehensive navigation solutions by automakers and the increasing initiatives by leading LBS players to develop automotive navigation services.

However, this segment is expected to register the highest CAGR during the forecast period.

Based on location type, the Asia-Pacific location-based services market is segmented into outdoor and indoor. In 2024, the outdoor segment is expected to account for the largest share of the Asia-Pacific location-based services market. The segment’s large market share is attributed to the rising demand for outdoor location-based services for various applications, including improved navigation and mapping applications, asset tracking applications, outdoor proximity marketing applications, and the increasing deployments of outdoor applications, particularly for automotive and pet tracking applications.

However, the indoor segment is expected to register the highest CAGR during the forecast period due to the growing need to track people and objects within a set space and the increasing implementation of indoor locations to navigate environments like shopping malls, airports, or large buildings more efficiently.

Based on end-use industry, the Asia-Pacific location-based services market is segmented into government & public sector, transportation & logistics, smart cities, retail & E-commerce, consumer goods, media & entertainment, travel & tourism, BFSI, IT & telecom, healthcare, hospitality, aerospace & defense, energy & utilities, automotive, agriculture, education, and manufacturing. In 2024, the transportation & logistics segment is expected to account for the largest share of the Asia-Pacific location-based services market. The segment’s large market share is attributed to the increasing need for real-time tracking of vehicles using GPS, the growing use of location intelligence tools to analyze traffic patterns and congestion in real time, and the increasing usage of location intelligence tools for route optimization.

However, the retail & E-commerce segment is expected to register the highest CAGR during the forecast period due to the rising need for location-based data for targeted marketing campaigns, the increasing popularity of location-based surveys and feedback collection tools, the growing usage of retail asset management tools, and the increasing need for supply chain management in the retail sector.

Based on country/region, the Asia-Pacific location-based services market is segmented into Japan, China, India, South Korea, Singapore, Taiwan, Australia & New Zealand, Malaysia, Thailand, Philippines, Indonesia, Vietnam, and the Rest of Asia-Pacific. In 2024, China is expected to account for the largest share of the Asia-Pacific location-based services market. The large share of this market is mainly attributed to factors such as the growing demand for automated smart driving solutions, rising launches of autonomous cars, trucks, and construction vehicles, a boom in GNSS hardware, and effective usage of drones in hospital operations support the growth of the LBS market in China.

However, India is expected to register the highest CAGR during the forecast period due to the increasing demand for drone-based operations by state governments, increasing initiatives by local players, and increasing collaborations between market players for new product launches.

Key Players The key players operating in the Asia-Pacific location-based services market are HERE Global B.V. (Netherlands), Google LLC (U.S.) (A Subsidiary of Alphabet Inc.), TomTom N.V. (Netherlands), Esri (U.S.), Hexagon AB (Sweden), Trimble Inc. (U.S.), Cisco Systems, Inc. (U.S.), QUALCOMM Incorporated (U.S.), Microsoft Corporation (U.S.), AT&T Inc. (U.S.), Zebra Technologies Corporation (U.S.), ALE International (France), Precisely (U.S.), Rohde & Schwarz GmbH & Co. KG (Germany), and Nextbillion.AI Pte. Ltd. (Singapore).

Download Sample Report Here @ https://www.meticulousresearch.com/download-sample-report/cp_id=5784

Key Questions Answered in the Report:

Which are the high-growth market segments in terms of component, technology, application, location type, and end-use industry?

What is the historical market size for the Asia-Pacific location-based services market?

What are the market forecasts and estimates for 2024–2031?

What are the major drivers, restraints, opportunities, challenges, and trends in the Asia-Pacific location-based services market?

Who are the major players in the Asia-Pacific location-based services market, and what are their market shares?

What is the competitive landscape like?

What are the recent developments in the Asia-Pacific location-based services market?

Contact Us: Meticulous Research® Email- sales@meticulousresearch.com Contact Sales- +1-646-781-8004 Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-research

[rutukadam]

Asia Pacific Location Based Services Market

Meticulous Research®—a leading global market research company, published a research report titled, Asia-Pacific Location-based Services Market by Component, Technology (GNSS, GPS), Application (Navigation, Mapping & GIS), Location Type, End-use Industry (Transportation & Logistics, Retail & E-commerce), and Geography -Forecast to 2031.’

According to this latest publication from Meticulous Research®, the Asia-Pacific location-based services market is projected to reach $118.2 billion by 2031, at a CAGR of 17.3% from 2024–2031.The growth of the Asia-Pacific location-based services is driven by the proliferation of location-based services in the retail sector and the surging use of location-based services in the agriculture sector. However, dynamic government rules and regulations for location-based services restrain the growth of this market. Furthermore, constant upgrades in mapping and navigation solutions are expected to generate growth opportunities for the players operating in this market. However, the high costs of procuring and implementing location-based services are a major challenge impacting market growth. Additionally, the use of 5G technology for improved real-time analysis and the development of GIS software using augmented reality (AR)/virtual reality (VR) technologies are prominent trends in this market.

The Asia-Pacific location-based services market is segmented by component (platforms/solutions [location-powered mobile apps, location intelligence platforms, and location-based messaging] and professional services [mapping services, implementation & support, and consulting & development services]), technology (global navigation satellite system, global positioning system [assisted GPS and enhanced GPS], Wi-Fi, near-field communication, and other technologies), applications (navigation [smart parking, route planning, and other navigation applications], geo-marketing & advertising/target marketing, mapping & GIS, tracking [valuables & stolen goods tracking, pet tracking, parolees tracking, and child tracking], social networking [chat & instant messaging services, dating apps, and friend locator apps], infotainment, commercial applications, and other applications), location type (outdoor and indoor), end-use industry (government & public sector, transportation & logistics, smart cities, retail & E-commerce, consumer goods, media & entertainment, travel & tourism, BFSI, IT & telecom, healthcare, hospitality, aerospace & defense, energy & utilities, automotive, agriculture, education, and manufacturing), and country/region. The study also evaluates industry competitors and analyses the market at the country and regional levels.

Based on component, the Asia-Pacific location-based services market is segmented into platforms/solutions and professional services. In 2024, the platforms/solutions segment is expected to account for the larger share of the Asia-Pacific location-based services market. The large market share of this segment is attributed to the increasing focus by market players to launch location-based solutions, the increasing popularity of location-powered mobile apps, the growing need for location intelligence platforms to analyze and visualize geographic and location-based data, and the increasing adoption of location-based messaging platforms among consumers.

Also, this segment is projected to register the highest CAGR during the forecast period.

Based on technology, the Asia-Pacific location-based services market is segmented into global navigation satellite systems, global positioning systems, Wi-Fi, near-field communication, and other technologies. In 2024, the global navigation satellite system segment is expected to account for the largest share of the Asia-Pacific location-based services market. The large market share of this segment is attributed to the diverse range of applications of GNSS, including precise positioning and real-time location tracking. Additionally, the growing demand for location-based advertising and the increasing need for GNSS in asset management contributes to the significant market share of this segment.

Additionally, this segment is projected to register the highest CAGR during the forecast period.

Based on application, the Asia-Pacific location-based services market is segmented into navigation, geo-marketing & advertising/target marketing, mapping & GIS, tracking, social networking, infotainment, infotainment, and other applications. In 2024, the navigation segment is expected to account for the largest share of the Asia-Pacific location-based services market. The segment’s large market share is attributed to the rapid implementation of comprehensive navigation solutions by automakers and the increasing initiatives by leading LBS players to develop automotive navigation services.

However, this segment is expected to register the highest CAGR during the forecast period.

Based on location type, the Asia-Pacific location-based services market is segmented into outdoor and indoor. In 2024, the outdoor segment is expected to account for the largest share of the Asia-Pacific location-based services market. The segment’s large market share is attributed to the rising demand for outdoor location-based services for various applications, including improved navigation and mapping applications, asset tracking applications, outdoor proximity marketing applications, and the increasing deployments of outdoor applications, particularly for automotive and pet tracking applications.

However, the indoor segment is expected to register the highest CAGR during the forecast period due to the growing need to track people and objects within a set space and the increasing implementation of indoor locations to navigate environments like shopping malls, airports, or large buildings more efficiently.

Based on end-use industry, the Asia-Pacific location-based services market is segmented into government & public sector, transportation & logistics, smart cities, retail & E-commerce, consumer goods, media & entertainment, travel & tourism, BFSI, IT & telecom, healthcare, hospitality, aerospace & defense, energy & utilities, automotive, agriculture, education, and manufacturing. In 2024, the transportation & logistics segment is expected to account for the largest share of the Asia-Pacific location-based services market. The segment’s large market share is attributed to the increasing need for real-time tracking of vehicles using GPS, the growing use of location intelligence tools to analyze traffic patterns and congestion in real time, and the increasing usage of location intelligence tools for route optimization.

However, the retail & E-commerce segment is expected to register the highest CAGR during the forecast period due to the rising need for location-based data for targeted marketing campaigns, the increasing popularity of location-based surveys and feedback collection tools, the growing usage of retail asset management tools, and the increasing need for supply chain management in the retail sector.

Based on country/region, the Asia-Pacific location-based services market is segmented into Japan, China, India, South Korea, Singapore, Taiwan, Australia & New Zealand, Malaysia, Thailand, Philippines, Indonesia, Vietnam, and the Rest of Asia-Pacific. In 2024, China is expected to account for the largest share of the Asia-Pacific location-based services market. The large share of this market is mainly attributed to factors such as the growing demand for automated smart driving solutions, rising launches of autonomous cars, trucks, and construction vehicles, a boom in GNSS hardware, and effective usage of drones in hospital operations support the growth of the LBS market in China.

However, India is expected to register the highest CAGR during the forecast period due to the increasing demand for drone-based operations by state governments, increasing initiatives by local players, and increasing collaborations between market players for new product launches.

Key Players The key players operating in the Asia-Pacific location-based services market are HERE Global B.V. (Netherlands), Google LLC (U.S.) (A Subsidiary of Alphabet Inc.), TomTom N.V. (Netherlands), Esri (U.S.), Hexagon AB (Sweden), Trimble Inc. (U.S.), Cisco Systems, Inc. (U.S.), QUALCOMM Incorporated (U.S.), Microsoft Corporation (U.S.), AT&T Inc. (U.S.), Zebra Technologies Corporation (U.S.), ALE International (France), Precisely (U.S.), Rohde & Schwarz GmbH & Co. KG (Germany), and Nextbillion.AI Pte. Ltd. (Singapore).

Download Sample Report Here @ https://www.meticulousresearch.com/download-sample-report/cp_id=5784

Key Questions Answered in the Report:

Which are the high-growth market segments in terms of component, technology, application, location type, and end-use industry?

What is the historical market size for the Asia-Pacific location-based services market?

What are the market forecasts and estimates for 2024–2031?

What are the major drivers, restraints, opportunities, challenges, and trends in the Asia-Pacific location-based services market?

Who are the major players in the Asia-Pacific location-based services market, and what are their market shares?

What is the competitive landscape like?

What are the recent developments in the Asia-Pacific location-based services market?

Contact Us: Meticulous Research® Email- sales@meticulousresearch.com Contact Sales- +1-646-781-8004 Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-research

[mastergarryblogs]

How the Geospatial Analytics Market is Revolutionizing Smart Cities & Urban Planning

Unveiling the Future of Location Intelligence

We are entering a new era where geospatial analytics drives decision-making across industries. By combining Geographic Information Systems (GIS), Remote Sensing, and Global Positioning Systems (GPS), geospatial analytics empowers organizations to visualize, interpret, and analyze spatial data for actionable insights. This article delivers a comprehensive, keyword-optimized overview of the Geospatial Analytics Market, covering current trends, key technologies, growth forecasts, regional insights, industry segmentation, and competitive landscape—all geared to outperform competing content in search visibility.

Request Sample Report PDF (including TOC, Graphs & Tables): https://www.statsandresearch.com/request-sample/40286-global-geospatial-analytics-market

Key Geospatial Analytics Market Insights and Forecast (2025–2030)

The global geospatial analytics market is forecasted to experience robust growth, expanding at a CAGR of 12.8% from 2023 to 2030, driven by surging demand for real-time location intelligence, smart city initiatives, and precision agriculture. By 2030, the market is projected to reach multi-billion-dollar valuations, propelled by the convergence of cloud computing, 5G, AI, and big data analytics with geospatial intelligence.

Get up to 30%-40% Discount: https://www.statsandresearch.com/check-discount/40286-global-geospatial-analytics-market

Geospatial Analytics Market Segmentation and Deep Dive Analysis

By Offering: Solutions vs. Services

Solutions, including spatial data visualization platforms, geospatial modeling, and simulation software, dominate the market. Advanced 4D GIS tools have emerged, enabling dynamic time-space analysis. Cloud-native platforms are favored for scalability, collaboration, and integration with business intelligence ecosystems.

Services, such as system integration, consulting, and training, are gaining traction as enterprises strive to modernize legacy systems and maximize return on investment in spatial data infrastructure.

By Technology

Remote Sensing: Satellite and aerial imagery form the backbone of geospatial datasets. Increasing deployment of remote-sensing satellites for environmental monitoring and surveillance is fueling segment growth.

GPS: The proliferation of IoT devices and mobile mapping apps has spurred GPS utilization across sectors.

GIS (Geographic Information Systems): Still the core framework for storing, managing, and analyzing spatial data. Widely used in urban planning, resource management, and logistics.

Others: LiDAR, photogrammetry, and radar imaging are enhancing precision in data collection for high-stakes applications such as disaster response and military intelligence.

By Type

Surface & Field Analytics: Dominates use cases like hydrological modeling, land use planning, and soil erosion studies.

Network & Location Analytics: Essential for optimizing transportation networks, logistics, and utility operations.

Geovisualization: 3D and immersive visualization tools are transforming how stakeholders interact with complex spatial datasets.

By Application

Surveying: Integral to construction, real estate, and agriculture, surveying remains the largest application segment.

Disaster Risk Reduction & Management: Real-time geospatial insights help anticipate, mitigate, and manage natural disasters.

Military Intelligence: High-resolution satellite imagery, drone surveillance, and location-based threat modeling are revolutionizing modern defense strategy.

Urban Planning: Enables smart city development, zoning, and sustainable infrastructure.

Climate Change Adaptation (CCA): Monitors deforestation, glacial retreat, and sea-level rise for evidence-based policy formulation.

Healthcare & Public Safety: Tracks disease outbreaks, optimizes ambulance routing, and enhances emergency preparedness.

By Vertical

Government & Defense: Largest adopters of GIS and remote sensing tools for intelligence, planning, and public safety.

Energy & Utilities: Uses spatial analytics for asset monitoring, fault detection, and grid optimization.

Agriculture: Precision agriculture leverages geospatial data for yield prediction, soil health analysis, and crop monitoring.

Real Estate & Construction: Site suitability analysis, infrastructure development, and zoning compliance.

BFSI: Risk assessment and fraud detection via location-based behavioral analytics.

Healthcare, Mining, Automotive & Transportation: Emerging verticals with accelerating adoption due to the benefits of spatial intelligence.

Regional Geospatial Analytics Market Dynamics

North America

North America continues to dominate the global geospatial analytics market, led by strong adoption across federal and state government agencies, defense operations, and private enterprises. The region's advanced IT infrastructure and significant investment in smart city technologies are key growth drivers.

Europe

Europe is rapidly expanding its geospatial capabilities, particularly in environmental monitoring, urban resilience, and cross-border security. The EU’s INSPIRE directive ensures a harmonized spatial data infrastructure, fostering market growth.

Asia-Pacific

The Asia-Pacific market is set to exhibit the fastest growth. Countries like China, India, and Japan are investing heavily in satellite technologies, digital agriculture, and urban modernization.

Middle East & Africa

Adoption is rising in sectors such as oil & gas exploration, land management, and national defense. Smart infrastructure development in the Gulf states further accelerates demand.

Latin America

In South America, Brazil leads with investments in Amazon rainforest monitoring, agriculture digitization, and urban planning projects.

Competitive Landscape

The global geospatial analytics ecosystem is composed of established technology leaders and innovative niche players. Key players include:

Esri – Dominates with its ArcGIS platform and extensive ecosystem.

Hexagon AB – Offers integrated solutions across surveying, agriculture, and transportation.

Alteryx, Inc. – Specializes in spatial data preparation and predictive analytics.

Maxar Technologies – A leader in satellite imagery and analytics.

Google LLC – Provides scalable geospatial services via Google Maps Platform and Earth Engine.

Bentley Systems, SAP SE, Fugro N.V., General Electric, Harris Corporation – Each contributing unique capabilities across sectors.

Strategic partnerships, mergers & acquisitions, and continuous R&D are shaping the competitive strategies in this market.

Industry Trends Shaping the Geospatial Analytics Market

Integration with AI & Machine Learning

Automated feature extraction from satellite imagery, predictive modeling, and spatial clustering are being powered by AI/ML algorithms, offering real-time insights for faster decisions.

Emergence of 4D GIS

The integration of time as a fourth dimension is enabling temporal analysis of spatial data—critical for tracking changes in terrain, weather, and infrastructure development.

Democratization of Spatial Intelligence

Low-code platforms and user-friendly interfaces are empowering non-experts to access and analyze geospatial data, expanding market reach.

Cloud-Native and Edge Geospatial Computing

Cloud and edge solutions are enhancing processing speed, storage scalability, and system interoperability, allowing for seamless cross-platform spatial intelligence delivery.

Purchase Exclusive Report: https://www.statsandresearch.com/enquire-before/40286-global-geospatial-analytics-market

Conclusion

Geospatial analytics is no longer a niche capability—it is a strategic imperative across industries. As businesses and governments continue to embrace data-driven strategies, the demand for real-time spatial intelligence will grow exponentially. From defense to disaster management, from agriculture to autonomous vehicles, the integration of geospatial analytics into digital ecosystems is reshaping the global landscape.

To lead in this transformative space, enterprises must invest in cutting-edge technologies, foster geospatial literacy, and collaborate with key stakeholders across the data value chain.

For stakeholders aiming to future-proof operations, tap into new revenue streams, and ensure spatially-informed decision-making, the time to act is now.

Our Services:

On-Demand Reports: https://www.statsandresearch.com/on-demand-reports

Subscription Plans: https://www.statsandresearch.com/subscription-plans

Consulting Services: https://www.statsandresearch.com/consulting-services

ESG Solutions: https://www.statsandresearch.com/esg-solutions

Contact Us:

Stats and Research

Email: sales@statsandresearch.com

Phone: +91 8530698844

Website: https://www.statsandresearch.com

[sassysuitdonut]

Optimizing Fiber Network Planning with Advanced GIS Solutions

Fiber optic networks are expanding remarkably under the relentless demand for faster and more dependable internet. These networks provide the foundation of our digital world, enabling everything from 5G and IoT to smart cities and high-speed broadband for homes and businesses. However, developing and deploying fiber networks is a difficult process. Fortunately, advanced GIS technologies are transforming this process, allowing for smarter, faster and more affordable manner.

Challenges in Fiber Network Planning

Before diving into GIS solutions, it’s important to understand the common challenges in fiber network planning:

High Deployment Costs > Trenching, permits, and labor make fiber deployment expensive.

Route Optimization > Selecting the most efficient path while avoiding obstacles.

Regulatory Compliance > Navigating legal and environmental restrictions.

Future Proofing Networks > Ensuring scalability and adaptability for future expansions.

Minimizing Civil Works > Reducing disruptions to existing infrastructure.

How GIS Solutions Optimize Fiber Network Planning

GIS technology integrates spatial data with network planning tools, providing a data driven approach to fiber deployment. Here’s how:

Accurate Geospatial Data for Informed Decision Making

GIS platforms incorporate:

Aerial imagery & LiDAR data – Helps identify terrain and obstacles.

Underground utility maps – Prevents conflicts with existing infrastructure.

Population density & demand heat maps – Ensures optimal coverage in high-demand areas.

Automated Route Optimization

GIS algorithms analyze multiple factors (distance, terrain, existing infrastructure) to suggest the most efficient fiber routes. This minimizes unnecessary trenching and reduces deployment costs.

3D Modeling & Network Visualization

Advanced GIS tools allow planners to:

Visualize fiber routes in 3D for better planning.

Simulate different deployment scenarios before execution.

Identify potential bottlenecks and optimize network design.

These capabilities are especially valuable in urban planning for telecommunication engineering services in USA and Canada.

Regulatory & Environmental Compliance

GIS helps planners:

Avoid protected areas and environmentally sensitive zones.

Ensure compliance with local regulations by integrating zoning laws into planning.

Streamline permit applications with accurate mapping data.

Predictive Analytics for Future Expansion

By analyzing trends in data usage and population growth, GIS can predict future demand, helping operators plan scalable fiber networks that accommodate growth without costly retrofits.

At Sven Carto, we believe optimizing fiber network planning with advanced GIS solutions is no longer optional, it’s a strategic necessity. As a trusted provider of Telecom Fiber Engineering Design Services across the USA, Canada, and Europe, we harness advanced GIS technology to deliver the precision, agility, and intelligence our clients need to stay ahead in the race for broader and faster connectivity.

[nupur26]

Technologies for disaster preparedness and response

Technologies for Disaster Preparedness and Response

Disaster preparedness and response have been significantly transformed by emerging technologies, enhancing the efficiency and effectiveness of management systems. This article explores various technologies that are reshaping disaster management, focusing on their applications in prediction, response, and recovery.

1. Early Warning Systems

Early warning systems (EWS) are crucial for mitigating the impacts of natural disasters. These systems utilize a combination of technologies:

Seismographs for earthquake detection.

Satellites and hydrological models for flood predictions.

Meteorological data for forecasting cyclones.

These tools enable timely alerts to communities at risk, allowing for proactive measures to be taken before disasters strike[2][3].

2. Remote Sensing and Geographic Information Systems (GIS)

Remote sensing technologies, including satellites and drones, play a vital role in disaster monitoring:

Real-time data collection helps assess the magnitude of disasters.

GIS maps resources and affected areas, facilitating efficient response efforts.

These technologies provide critical situational awareness that informs decision-making during emergencies[2][4].

3. Artificial Intelligence (AI) and Machine Learning (ML)

AI and ML are increasingly integrated into disaster management strategies:

They enhance predictive analytics by processing vast amounts of historical data to forecast potential disasters.

AI algorithms optimize resource allocation by analyzing factors such as traffic patterns and road closures during emergencies.

These advancements allow for more accurate damage assessments and quicker responses to crises[1][4].

4. Internet of Things (IoT)

IoT devices are instrumental in gathering real-time data from various sources:

Sensors can monitor environmental conditions and infrastructure health.

IoT enables real-time communication among emergency responders, improving coordination during disasters.

This connectivity enhances situational awareness and supports effective decision-making[1][4].

5. 5G Networks

The advent of 5G technology has revolutionized communication during disasters:

High-speed data transfer allows for the rapid sharing of critical information, such as high-resolution images and live updates from affected areas.

Low latency improves the coordination between responders and agencies, facilitating timely interventions[1][4].

6. Drones

Drones have become invaluable tools in disaster management:

They provide aerial surveys of disaster-stricken areas, allowing for quick assessments of damage.

Equipped with thermal imaging, drones can locate survivors in hard-to-reach locations.

Their ability to cover large areas quickly makes them essential for both response and recovery efforts[2][3].

7. Big Data Analytics

Big data analytics aggregates diverse datasets to derive insights that aid disaster management:

It helps track survivors, assess needs, and optimize resource distribution.

Predictive analytics can simulate disaster scenarios, enabling better preparedness planning.

This technology enhances situational awareness by providing comprehensive insights into ongoing crises[4][5].

8. Communication Technologies

Effective communication is critical during disasters:

Satellite phones ensure connectivity in remote areas where traditional networks fail.

Social media platforms serve as channels for disseminating information and coordinating rescue efforts.

These technologies facilitate timely communication between responders and affected populations[2][4].

Conclusion

The integration of these technologies into disaster preparedness and response frameworks enhances resilience against natural hazards. By leveraging advanced tools such as AI, IoT, drones, and big data analytics, emergency management agencies can improve their predictive capabilities, streamline response efforts, and ultimately save lives. As climate change continues to challenge existing systems, investing in these technological advancements will be crucial for effective disaster risk reduction strategies.

[sudeepkedar]

Location Intelligence Market: Industry Potential, Trends and forecast to 2032

Global Location Intelligence Market will reach over USD 60 billion by 2032. The burgeoning popularity of location-based services, coupled with the rising demand for spatial analysis will catalyze the industry growth over 2024–2032. Businesses across various sectors increasingly rely on location-based insights for targeted marketing, resource optimization, and operational efficiency. Moreover, the need for spatial analysis in urban planning, environmental monitoring, and disaster management is soaring. As organizations recognize the strategic value of location intelligence, the market will witness robust growth.

Request for Sample Copy report @   https://www.gminsights.com/request-sample/detail/6702

Location intelligence market from the remote monitoring application segment will observe a noteworthy upsurge by 2032, owing to the growing need for real-time tracking and management of assets, vehicles, and equipment across various industries. With advancements in IoT technology and connectivity, remote monitoring solutions offer enhanced visibility and control over dispersed assets for improving operational efficiency and reducing costs. As organizations prioritize remote monitoring capabilities to optimize workflows and ensure compliance, the segment will witness steady growth.

The IT and telecom segment in the location intelligence market will depict considerable growth from 2024 to 2032, attributed to its pivotal role in infrastructure development and connectivity. As telecommunications companies leverage location intelligence to optimize network coverage, enhance service delivery, and improve customer experiences, the demand for location-based solutions will soar. The increasing investments in 5G network deployment and IoT technologies will also drive the segment growth.

Request for customization this report @   https://www.gminsights.com/roc/6702

Asia Pacific location intelligence industry will register a remarkable CAGR from 2024 to 2032, driven by rapid urbanization, increasing adoption of digital technologies, and government initiatives for promoting smart city development. With its vast population and growing economies, the APAC offers significant opportunities for location-based services and solutions. As organizations harness the power of location intelligence to make data-driven decisions, the region will stand as a key contributor to the industry expansion.

Partial chapters of report table of contents (TOC):

Chapter 1   Methodology & Scope

1.1    Market scope & definition

1.2    Base estimates & calculations

1.3    Forecast calculation

1.4    Data Sources

1.4.1    Primary

1.4.2    Secondary

1.4.2.1   Paid sources

1.4.2.2   Public sources

Chapter 2   Executive Summary

2.1    Location intelligence market 3600 synopsis, 2018 - 2032

2.2    Business trends

2.2.1    Total Addressable Market (TAM), 2024-2032

2.3    Regional trends

2.4    Solution type trends

2.5    Services trends

2.6    Location type trends

2.7    Deployment model trends

2.8    Application trends

2.9    Industry vertical trends

Chapter 3   Location intelligence Market Industry Insights

3.1    Industry ecosystem analysis

3.2    Supplier Landscape

3.3    Profit margin analysis

3.4    Technology innovation landscape

3.5    Patent analysis

3.6    Key news and initiatives

3.7    Regulatory landscape

3.8    Impact forces

3.8.1    Growth drivers

3.8.1.1   Rising demand for business insights.

3.8.1.2   Expanding IoT ecosystem.

3.8.1.3   Expanding retail and e-commerce sector.

3.8.1.4   Advancements in GIS and Mapping Technologies

3.8.1.5   Increasing demand for telco network optimization and personalization.

3.8.2    Industry pitfalls & challenges

3.8.2.1   Data security and privacy concerns

3.9    Growth potential analysis

3.10    Porter’s analysis

3.11    PESTEL analysis

About Global Market Insights:

Global Market Insights, Inc., headquartered in Delaware, U.S., is a global market research and consulting service provider; offering syndicated and custom research reports along with growth consulting services. Our business intelligence and industry research reports offer clients with penetrative insights and actionable market data specially designed and presented to aid strategic decision making. These exhaustive reports are designed via a proprietary research methodology and are available for key industries such as chemicals, advanced materials, technology, renewable energy and biotechnology.

Contact us:

Aashit Tiwari Corporate Sales, USA Global Market Insights Inc. Toll Free: +1-888-689-0688 USA: +1-302-846-7766 Europe: +44-742-759-8484 APAC: +65-3129-7718 Email: sales@gminsights.com 

[terminusgroup]

AI CITY Will Pave the Way For the Cities of Tomorrow

Cities often represent growth in mankind’s collective wisdom. The goal of every great city is to be built with the highest quality resources available and make use of the newest and most innovative technologies.

 In the ancient city of Rome in the 1st century AD, the use of early hydro technologies allowed the population to flourish. Hydro power was one of the most widely used examples, generating mechanical energy through massive waterwheels. Furthermore, a highly developed water supply and drainage system provided ample clean water every day. They would collect the water and store it in large reservoirs by redirecting subsurface water from nearby rivers and lakes into artificial channels called ‘aqueducts’. This system was so effective that their water supply actually exceeded population demand. It was able to support households, gardening, water shows, mill grinding and the great Roman fountains we still see in use today. The Romans could even use the waterways as escape routes or in complex military strategies.

 These innovations were magnificent. They laid the foundation for the incredibly rich, vibrant cities we live in today. Over 2,000 years later, our idea of innovation has shifted. Instead of aqueducts, we are working with the invisible networks of 5G, big data, Internet of Things (IoT) and artificial intelligence (AI).

 Let’s set the stage. Morning sunbeams stretch slowly over a city silhouette, as the light reaches out into every corner of this X-Tech city. The residential roads are bordered by lush greenery as dewdrops slide from the highest tree leaves down onto solar panel laden rooftops, then to their final resting place in the grass. There is a heartbeat - not just within the surrounding nature - but witihin the structures themselves. As the dewdrops fall, the solar panels adjust themselves, ever so slightly, so water can slide into the gutters and reach the plants below. As sunlight hits the houses, bedroom windows adjust their opacity to allow the natural light to wake sleepy residents. Once light has filled the room, an AI virtual housekeeper selects your breakfast, matches your outfit with the weather, and presents a full schedule of your day. After breakfast, you step into your intelligent, fully-automated vehicle, and begin your intercity commute cities browsing global market news - recommended by an algorithm, of course!

 This is not some SciFi pipedream, but a glance at the plans for an upcoming AI CITY. As early as 1992, Singapore proposed an plan known as the "Intelligent Island" in an attempt to create a country powered by artificial intelligence and machine learning. Subsequently, the Korean government proposed the "U-Korea" strategy in 2004, hoping to use the Internet and wireless sensors to transform Korea into a smart society.

 In 2008, IBM first proposed the "Smarter Planet” initiative, and then formally rolled out the concept of "Smarter Cities" in 2010. Since then, there has been momentum toward creating "smart cities" around the world.

 In 2013, the Ministry of Industry and Information Technology of China led the establishment of the China Smart City Industry Alliance and planned to invest RMB 500 billion in the next few years to build smart cities. In 2015, the US government proposed a new smart city initiative to actively deploy smart grids, smart transportation and broadband.

 Cities are effectively giant machines that must run 24/7. People need this machine in excellent working order every day to protect and transport people and resources for different purposes – big and small. These tasks range from keeping public order to repairing broken manhole covers. Smart cities seek to connect all these details of city life to the Internet and Cloud, applying IoT, AI, 5G, big data and other new ICT technologies to optimize operational efficiency of these giant machines.

 The AI CITY is the next generation smart cities, and its scope is more sophisticated than merely connecting devices. The key innovation lies in the role of artificial intelligence in its infrastructure, which will allow devices to operate on their own. This will ultimately allow the city to better manage its people and resources.

 Europe and the United States had an early start in the development of smart cities. In London, investments in smart city infrastructure such as the Internet of Things, big data, cloud computing, artificial intelligence and blockchain have reached GBP 1.3 trillion. These investments were largely used in building smart grids, smart streets, smart transportation and other municipal projects. As an example, let’s look at London’s West End. Using GIS, CAD and 3D virtual technology, the area has been transformed into a hub of data generating buildings. Around 45,000 buildings within an area of nearly 20 sq.km are now utilizing internet-connected, data-generating devices in the West End. It’s a prime example of an urban geo-information system offering optimized looks into landscape design, traffic control, sustainability, emergency management and more.

 New York has also benefited from a smart urban technology. More specifically, the city implemented a smart grid project where Con Edison, an electricity utilities company, automated and upgraded more than one-third of New York’s power grid to prevent any single accident from causing damage to the entire grid.

 Moving geographies, the number of smart city developments in the East have outpaced the West. Both Japan and South Korea have used smart city technology to focus on resource allocation in their most densely populated cities. Seoul has established an integrated transportation system that uses smart cameras in subways to obtain information on passenger volume, and adjust the speed and frequency of trains in real time accordingly. It also installed sensors to monitor important train components to proactively prevent malfunctions. In Yokohama, the Smart Environment Project has deployed a series of advanced energy management systems in households and commercial buildings to "visualize" energy. Solar power solutions and home energy management systems were installed which allowed crucial energy data to be displayed. Now municipal officials could track power generation, power consumption and power sales.

 Currently, China enjoys the fastest development of smart cities and has the highest abundancy of smart communities and AI technology in the world. More than 40% of global smart city projects are currently under construction in China. In Chongqing, a metropolis in southwest China, Terminus - an innovator in artificial intelligence, internet of things, and robotics - is building a smart city with a total gross floor area of 2,500,000 sqm. The company plans to use its suite of AI and IoT technologies to upgrade the sustainability, operations and visitor experience of the city. It will also empower traditional industries with new ICT technologies to create the world's first model of an AI CITY which incorporates all types of businesses and diversified industrial chains.

 The Catalyst for AI CITY Implementation: Competition among the World's Top Tech Companies

 Although the government plays an important role in planning and building an AI CITY, the true drivers of smart city innovation are the world's top technology companies.

 IBM, the first major player in the smart city space, applied different functional modules such as smart healthcare, smart transportation, smart education, smart energy, and smart telecommunication to hundreds of cities across the globe. It collected a large quantity of data and integrated it into the city's main operational management centers.

 However, given that cloud computing and AI technologies were not salient during this period, IBM was not able to effectively roll out its “Smarter Cities” initiative. Its solutions were frequently turned down by municipal governments due to the immense investment costs overshadowing the benefits gained from the new technology.

 As a world-renowned network provider, Cisco has developed another angle on smart cities. Instead of undertaking mammoth projects like integrating smart technology across entire cities, Cisco’s strategy focuses on establishing smaller smart communities and driving change from the bottom up. In Copenhagen, it helped the city become carbon neutral; in Hamburg, it played a role in establishing a fully digital network and IT strategy that enabled an integrated management of land and marine transportation.

 Meanwhile, Siemens, a global leading industrial manufacturer, has been working on smart grid solutions to help cities optimize their energy storage. Centralizing their strategy around smart grids allows for meaningful connections between smart buildings, electric transportation, smart meters, power generation, etc. It allows the company to integrate and upgrade an existing system as opposed to building out an entirely new system from scratch. It is an effective way to test out the new IoT technologies without generating tremendous risk to the city’s existing infrastructure.

 The AI CITY ecosystem in China has benefitted tremendously from these existing projects. Chinese companies have been able to learn from the development of these global projects and combine the existing frameworks with emerging technologies like 5G, big data, cloud computing, AI and intelligent hardware R&D. This has provided an edge when constructing new smart city projects domestically.

 Terminus, a leading global smart service provider, is one company taking full advantage of this opportunity. Terminus aims to shape the next generation of technology with AI and IoT, and has emerged as an industry integrator, achieving full coverage from a suite of products from service robots and sensors to edge smart products, all the way to cloud platforms. Terminus’ AI CITY solution is scene-oriented. It utilises the company's many years of experience in the AIoT industry to bring solutions for social management, energy efficiency improvement, smart parks, cultural innovation and smart finance to communities and cities. It has implemented and maintained more than 8,000 smart scenes in 84 cities.

 Terminus’ AI CITY smart solutions are used to enhance traditional offline spaces. Shopping malls, for example, have several areas where operational efficiency could be better optimized. Terminus’ smart solutions allow malls to find these optimal points by collecting multi-dimensional data related to people, goods, stores, and orders. Their solutions provide digital operational tools for each functional unit of the mall. This allows customers to have a more reliable and enjoyable shopping experience. As an added benefit, by tapping into rich  data, the shopping mall is able to achieve higher sales conversion, higher per capita sales and higher inventory turnover.

 Terminus’ intelligent fire protection solution tells another positive story in favour of developing smart technologies. Terminus is able to leverage artificial intelligence to create a system of automated fire prevention and control. It lowers risk to firefighters and law enforcement while increasing preventative measures for structure fires. Terminus uses GPS, GIS, BIM and other geographic location information systems to map firehouses and fire law enforcement units in real-time. As a result, responders can reach the scene more efficiently by triangulating the closest available units. This solution also provides tooling for conducting data queries, pulling statistics, general analysis, decision-making, and intelligent identification of fire origins. The information is stored in data warehouses which can be mined and analyzed as needed.

 Unlike the bottom-up strategies that other technology companies have used to promote smart city construction, Terminus has taken a top-down approach for scaling their solutions. Terminus aims to build science and technology industry parks by integrating its industrial resources. It also aims to enrich and improve its solutions by exploring diverse use cases. By continuing to grow within local smart city operations, Terminus has seized an opportunity to shape core frameworks for future smart cities. It stands to profit from the growing demand for smart technologies, while also contributing to a more sustainable world.

 What Else Can We Do to Find the Way to AI CITY

 The map to a sustainable AI CITY is unfolding at an unprecedented rate. Two players will influence the continued development of smart cities: governments and industry-leading companies.

 For governments, it is essential to support in the planning and development of an AI CITY. Most importantly, they must consider the opinions and well-being of their citizens.  London is an excellent example. The Greater London Authority developed an online community called "Talk London" to provide a safe space for online discussion, voting, Q&A, surveys, and more to cover impactful topics ranging from private rental markets to the safety of cyclists around large trucks. This process allows London citizens to participate in government decision-making. As a result, the policies formulated by the government often more accurately reflect the real needs of its people. In comparison, Google's Toronto Smart City Plan was recently under fire as it went against the needs of the local residents.

 In closing, it would seem industry-leading companies will be tasked with shouldering more social responsibility. There is a clear commitment from these entities to contribute to technological progress, cultivate highly skilled professionals, and grow their brand. However, there is a crucial role to be played in popularizing and building out legitimate use cases for these new cities. These companies must extend the range of their considerations beyond just technology to those that will be using it. Innovation comes with the innate responsibility to better the lives of people around the globe. If the smart city and AI CITY models can embrace this notion, the future will be brighter than ever before.

https://www.terminusgroup.com/ai-city-will-pave-the-way-for-the-cities-of-tomorr.html

[smartbrief]

Exploring Radio Coverage: A Comprehensive Study

In the realm of telecommunications, radio coverage plays a crucial role in ensuring effective communication across vast distances. Whether it is for emergency services, public safety, or everyday communication, understanding radio coverage is essential. This article presents a comprehensive study on radio coverage, exploring its importance, methodology, challenges, and advancements.

Importance of Radio Coverage:

Radio coverage is the range over which a radio signal can be received and transmitted effectively. It determines the extent to which communication can take place between radios in various locations. Adequate radio coverage is vital for emergency response teams, such as police, firefighters, and medical services, enabling them to coordinate and respond swiftly. Additionally, industries like transportation, utilities, and broadcasting heavily rely on reliable radio coverage to ensure smooth operations.

Methodology:

Radio coverage studies involve evaluating signal strength, signal quality, and signal interference to determine the effective range of communication. These studies employ sophisticated tools and techniques to collect and analyze data, including signal strength measurements, radio propagation models, and simulation software. Measurements are typically conducted in both controlled laboratory settings and real-world scenarios, considering factors such as frequency bands, antenna height, and terrain variations.

Challenges in Radio Coverage Studies:

Several challenges need to be addressed when conducting radio coverage studies. One significant challenge is the presence of obstacles like buildings, mountains, and foliage, which can attenuate and block radio signals. These obstacles cause signal reflection, diffraction, and multipath fading, affecting coverage areas. Other factors include electromagnetic interference from other radio devices, atmospheric conditions, and varying terrain characteristics. Accurate modeling and prediction of these effects require sophisticated algorithms and extensive data collection.

Advancements in Radio Coverage Studies:

Advancements in technology have revolutionized radio coverage studies. Geographic Information Systems (GIS) have facilitated the integration of various data sources like topographic maps, land cover information, and population density, enhancing the accuracy of coverage predictions. Additionally, the availability of high-resolution satellite imagery enables the creation of accurate terrain models for improved signal propagation modeling. Furthermore, the development of advanced simulation software allows researchers to simulate different scenarios and optimize coverage parameters.

Real-world Applications:

Radio coverage studies have practical applications across a wide range of sectors. In emergency response situations, accurate coverage information helps in identifying areas with weak or no signal, enabling the deployment of additional equipment or infrastructure. In urban planning, radio coverage studies guide the placement of communication towers, ensuring seamless coverage for densely populated areas. Moreover, transportation and logistics industries rely on coverage studies to optimize communication networks for efficient fleet management and route planning.

Future Outlook:

As technology continues to advance, radio coverage studies are expected to become even more sophisticated. The integration of artificial intelligence and machine learning algorithms can enhance the accuracy of coverage predictions by learning from vast amounts of historical data. Moreover, the deployment of 5G networks and the Internet of Things (IoT) will introduce new challenges and opportunities for radio coverage studies, as these technologies require higher data rates and increased network capacity.

Radio coverage studies are indispensable for ensuring reliable communication in various sectors. By analyzing signal strength, quality, and interference, researchers can provide valuable insights for optimizing communication networks and improving coverage. As technology progresses, radio coverage studies will continue to evolve, offering more accurate predictions and enabling efficient and effective communication in an increasingly connected world.

[lepton-software]

rfMap by Lepton Software (2d, 2.5D, &3D Digital Maps)

Lepton Software's rfMap is a powerful and user-friendly web-based tool designed for network engineers, planners, and operators to visualize, analyze, and optimize radio frequency (RF) networks. It offers an intuitive interface that simplifies the complex process of network planning and management, providing users with an easy-to-use, comprehensive solution that enhances network performance and reduces operational costs.

rfMap by Lepton Software is a highly customizable tool that supports a wide range of wireless technologies, including 2G, 3G, 4G, and 5G, as well as Wi-Fi, microwave, and satellite. It provides a detailed view of the network's coverage, signal strength, interference, and quality, allowing users to analyze and optimize the network's performance based on real-time data.

The tool also offers advanced features such as multi-level zoom, heat maps, and multi-layer network analysis. The heat maps enable users to visualize the signal strength and coverage of the network in a specific area, while the multi-layer network analysis provides detailed information on the network's performance, including throughput, latency, and packet loss.

rfMap by Lepton Software also comes with a built-in prediction engine that enables users to simulate various network scenarios, such as adding or removing base stations, changing antenna heights, or adjusting the power and frequency allocation. This feature enables network operators to test different scenarios and optimize their networks for maximum performance and efficiency.

rfMap by Lepton Software is a cloud-based solution that offers seamless integration with third-party data sources, such as GIS, network management systems, and data warehouses. It provides a secure and reliable platform that ensures data privacy and integrity, enabling users to collaborate and share data with ease.

In conclusion, rfMap by Lepton Software is a versatile, scalable, and comprehensive tool that provides network engineers, planners, and operators with a powerful platform for visualizing, analyzing, and optimizing their RF networks. Its advanced features, user-friendly interface, and cloud-based architecture make it an ideal solution for businesses of all sizes looking to enhance their network performance and reduce operational costs.

[akhlisheshsrivastva]

Akhilesh Srivastava spoke about Transforming the Transportation Network using GIS at the conference organised by the Ministry of Science and Technology on Geospatial Policy for Nation Development.

It was a pleasure to discuss “Transforming Transportation Networks with a Geospatial Strategy” with the panel of experts at a Conference organized by the Ministry of Science &Technology on “Geospatial Policy or National Development on 21st – 22nd February 2023.

Geospatial Strategy can help Transportation Sector on both the “Supply-side,” i.e., Developing Infrastructure Network, and the User-side, i.e., Mobility.

The focus points on Infra side are

•          Speed and capacity

•          Frequencies and time

•          Cost 

GIS combined with 3D, 5G Networks, IoT, and IPv6 protocols can be a game changer by integrating Surveying, Planning, Designing, construction, and Asset Management.

On User-side, i.e., Mobility, this will be useful for drivers in finding the most optimal and cost-effective routes but more useful for Business development around logistics and other Industries.

5 themes will determine the future of mobility –

•          Multi-modal

•          Shared

•          Autonomous

•          Connected

•          Electrified or Green Fuel 

Precision in data and technology will be a key determinant of the future of transportation technology. It can effectively transform a vehicle into a thinking and self-operating IoT device.

Location Intelligence (LI), a part of AI, collects and analyzes geospatial data from different sources.

The strategic insights from this data help solve various business challenges for the transportation industry.

This is done by providing access to spatial data, trends, patterns, and relationships between vehicles and infrastructure.

GIS should be a means to an end, which is to shape global businesses and make citizens' life easy by adding critical context to the decision-making process.

Gone are the days when a team would be sent “on the ground” to investigate a business opportunity. Geospatial data can do all this while providing rich insights that help decision-making.

Companies all over the world are utilizing geospatial data in diverse ways.

But the conventional B2G system will not work, and natural inefficiency will creep into it, making it useless like the Smart City Initiative.

If we want this policy to be successful, the democratization of Data and easy availability of data should be a primary part so that a B2C ecosystem develops around it.

Our young generation is smart and can use the data better than policymakers think!

Source link: https://medium.com/@akhlisheshsrivastva/akhilesh-srivastava-spoke-about-transforming-the-transportation-network-using-gis-at-the-conference-11602f65ce6a

[likelyyouththing]

Geospatial Analytics Market Emerging Technologies, Growth, And Regional Forecast To 2027

the Geospatial Analytics Market is projected to grow from USD 67.4 billion in 2022 to USD 119.9 billion by 2027, at a CAGR of 12.2% during the forecast period. The key factors driving the growth of this market include the rise of geospatial analytics technologies and the increasing competition. GIS may be used to monitor facilities that are available and organize interventions. The mapping of demographic data aids in the monitoring of high-risk populations and vulnerable areas. The geospatial technology anticipates and analyses organizational risk regions and monitors operational capabilities to increase business continuity.

Get Sample of Report @  https://www.marketsandmarkets.com/requestsampleNew.asp?id=198354497

Cloud segment to account for higher CAGR during the forecast period

The Geospatial analytics market is bifurcated on the basis of cloud and on-premises. The market size of the cloud deployment mode is estimated to be larger and projected to have a higher CAGR during the forecast period. A combination of spatial technologies with cloud computing offers an alternative platform for data, making it affordable and scalable. The deployment type comes with flexible subscription-based pricing models, and access to the services is provided through cloud-deployed network connectivity. A geospatial cloud providing GIS as SaaS offers many analytic and visualization capabilities.

SMEs segment to account for higher CAGR during the forecast period

The SMEs segment is a faster-growing segment in the Geospatial analytics market during the forecast period as the demand for geospatial analytics in organizations is increasing. The deployment of geospatial analytics varies according to the needs of different end users. The increasing volume of location-based spatial data in SMEs is one of the major factors driving the growth of the geospatial analytics market.

APAC to hold higher CAGR during the forecast period

APAC is showing a substantial rise in the adoption of Geospatial analytics solutions and services during the forecast period. The number of people living in cities has dramatically increased because of the region’s rising economies, including those of Indonesia, China, and India. This expansion has increased demand for smart cities, smart infrastructure, and well-planned urban landscapes. Leading the development of 5g and IoT infrastructures are China, South Korea, and India. These factors will lead the APAC market to grow at the quickest CAGR over the next years.

View detailed Table of Content here - https://www.marketsandmarkets.com/Market-Reports/geospatial-analytics-market-198354497.html

Major vendors in the global Geospatial analytics market Esri (US), Precisely (US), Caliper Corporation (US), Blue Marble Geographic (US), Google (US), eSpatial (Ireland), HexagonAB (Switzerland), TomTom (Netherlands), Trimble (US), Maxar Technologies (US), RMSI (India), Maplarge (US), General Electric (US), Bentley Systems (US), Fugro (Netherlands).

About MarketsandMarkets™

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their painpoints around revenues decisions.

Our 850 fulltime analyst and SMEs at MarketsandMarkets™ are tracking global high growth markets following the "Growth Engagement Model – GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets™ now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets™ is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

MarketsandMarkets’s flagship competitive intelligence and market research platform, "Knowledge Store" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.

Contact:

Mr. Aashish Mehra

MarketsandMarkets™ INC.

630 Dundee Road

Suite 430

Northbrook, IL 60062

USA: 1-888-600-6441

Email: sales@marketsandmarkets.com

[rutukadam]

Global Location-based Services Market Forecast to Reach $327.6 Billion by 2031

 Meticulous Research®—a leading global market research company, published a research report titled, ‘Location-based Services Market by Component, Technology (GNSS, GPS), Application (Navigation, Tracking), Location Type, End-use Industry (Government and Public Sector, Transportation & Logistics, Smart Cities), and Geography - Global Forecast to 2031.’

According to this latest publication from Meticulous Research®, the global location-based services market is projected to reach $327.6 billion by 2031, at a CAGR of 15.9% from 2024–2031. The growth of the global location-based services market is driven by the increasing use of spatial data and analytics across industries, the proliferation of location-based services in the retail sector, and the surging use of location-based services in the agriculture sector. However, dynamic government rules and regulations for location-based services restrain the growth of this market.

Furthermore, constant upgrades in mapping and navigation solutions and the growing demand for wearable devices are generating growth opportunities for the stakeholders in this market. However, the high costs of procuring and implementing location-based services are a major challenge impacting the growth of the location-based services market. Additionally, the use of 5G technology for improved real-time analysis and the development of GIS software using Augmented Reality (AR) and Virtual Reality (VR) technologies are prominent trends in this market.

The global location-based services market is segmented by component (platforms/solutions [location-powered mobile apps, location intelligence platforms, and location-based messaging] and professional services [mapping services, implementation & support, and consulting & development services]), technology (global navigation satellite system, global positioning system [assisted GPS and enhanced GPS], Wi-Fi, near-field communication, and other technologies), applications (navigation [smart parking, route planning, and other navigation applications], geo-marketing & advertising/target marketing, mapping & GIS, tracking [valuables & stolen goods tracking, pet tracking, parolees tracking, and child tracking], social networking [chat & instant messaging services, dating apps, and friend locator apps], infotainment, commercial applications, and other applications), location type (outdoor and indoor), end-use industry (government & public sector, transportation & logistics, smart cities, retail & E-Commerce, consumer goods, media & entertainment, travel & tourism, BFSI, IT & telecommunications, healthcare, hospitality, aerospace & defense, energy & utilities, automotive, agriculture, education, and manufacturing), and geography. The study also evaluates industry competitors and analyses the market at the country and regional levels.

Based on component, the global location-based services market is segmented into platforms/solutions and professional services. In 2024, the platforms/solutions segment is expected to account for the larger share of the global location-based services market. The segment’s large market share is attributed to the increasing focus of market players on launching location-based solutions, the increasing popularity of location-powered mobile apps, the growing need for location intelligence platforms to analyze and visualize geographic and location-based data, and the increasing adoption of location-based messaging platforms among consumers. Also, this segment is projected to register a higher CAGR during the forecast period.

Based on technology, the global location-based services market is segmented into Global Navigation Satellite System (GNSS), Global Positioning System (GPS), Wi-Fi, Near-field Communication (NFC), and other technologies. In 2024, the global navigation satellite system segment is expected to account for the largest share of the global location-based services market. The segment’s large market share is attributed to the diverse applications of GNSS, including precise positioning and real-time location tracking. Additionally, the growing demand for location-based advertising and the increasing need for GNSS in asset management also contribute to the significant market share of this segment. Additionally, this segment is projected to register the highest CAGR during the forecast period.

Based on application, the global location-based services market is segmented into navigation, geo-marketing & advertising/target marketing, mapping & GIS, tracking, social networking, commercial applications, infotainment, and other applications. In 2024, the navigation segment is expected to account for the largest share of the global location-based services market. The segment’s large market share is attributed to the rapid implementation of comprehensive navigation solutions by automakers and increasing initiatives by leading LBS players to develop automotive navigation services. Moreover, this segment is projected to register the highest CAGR during the forecast period.

Based on location type, the global location-based services market is segmented into outdoor and indoor. In 2024, the outdoor segment is expected to account for the larger share of the global location-based services market. The segment’s large market share is attributed to the rising demand for location-based services for outdoor applications, including navigation and mapping, asset tracking, and outdoor proximity marketing, and the increasing deployment of LBS, particularly for automotive and pet tracking applications.

However, the indoor segment is expected to register a higher CAGR during the forecast period. The growth of this segment is driven by the rising need to track people and objects within indoor spaces and the increasing implementation of LBS to facilitate efficient navigation in indoor environments like shopping malls, airports, and large buildings.

Based on end-use industry, the global location-based services market is segmented into government & public sector, transportation & logistics, smart cities, retail & E-commerce, consumer goods, media & entertainment, travel & tourism, BFSI, IT & telecommunications, healthcare, hospitality, aerospace & defense, energy & utilities, automotive, agriculture, education, and manufacturing. In 2024, the government & public sector segment is expected to account for the largest share of the global location-based services market. The segment’s large market share is attributed to the growing use of location intelligence tools by government & public sector organizations to track and plan purposes and governments’ increasing need for risk management and monitoring and securing national borders.

However, the retail & e-commerce segment is expected to register the highest CAGR during the forecast period. The growth of this segment is driven by the rising need for location-based data for targeted marketing campaigns, the increasing popularity of location-based survey and feedback collection tools, the growing usage of retail asset management tools, and the increasing need for supply chain management in the retail sector.

Based on geography, the global location-based services market is segmented into North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. In 2024, Asia-Pacific is expected to account for the largest share of the global location-based services market. The large share of this market is mainly attributed to factors such as the high penetration of mobile devices, a strong customer base for consumer solutions, and the rising deployments of map-based platforms across Chinese organizations. Also, this region is expected to register the highest CAGR during the forecast period.

Key Players:

The key players operating in the global location-based services market are HERE Global B.V. (Netherlands), Google LLC (U.S.) (a subsidiary of Alphabet Inc.), TomTom N.V. (Netherlands), Esri (U.S.), Hexagon AB (Sweden), Trimble Inc. (U.S.), Cisco Systems, Inc. (U.S.), QUALCOMM Incorporated (U.S.), Microsoft Corporation (U.S.), AT&T Inc. (U.S.), Zebra Technologies Corporation (U.S.), International Business Machines Corporation (U.S.), ALE International (France), Precisely (U.S.), Rohde & Schwarz GmbH & Co. KG (Germany), and Nextbillion.AI Pte. Ltd. (Singapore).

Download Sample Report Here @ https://www.meticulousresearch.com/download-sample-report/cp_id=5252

Key questions answered in the report:

·  Which are the high-growth market segments in terms of component, technology, application, location type, and end-use industry?

·  What is the historical market size for the global location-based services market?

·  What are the market forecasts and estimates for 2024–2031?

·  What are the major drivers, restraints, opportunities, challenges, and trends in the global location-based services market?

·  Who are the major players in the global location-based services market, and what are their market shares?

·  What is the competitive landscape like?

·  What are the recent developments in the global location-based services market?

·  What are the different strategies adopted by major market players?

·  What are the trends and high-growth countries?

·  Who are the local emerging players in the global location-based services market, and how do they compete with other players?

Contact Us: Meticulous Research® Email- sales@meticulousresearch.com Contact Sales- +1-646-781-8004 Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-research