#gis based telecom service optimization
Explore tagged Tumblr posts
Text
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/
#gis for 5g network planning#telecom network monitoring with gis#gis for telecom service coverage analysis#gis enabled telecom site selection#gis mapping for telecom connectivity#gis solutions for managing telecom utilities#role of gis in telecom infrastructure planning#telecom utility gis software for asset management#gis technology for fiber optic network design#geospatial analytics for telecom network optimization#telecom asset management system#gis telecom utility software#fiber optic network mapping#gis based telecom service optimization#telecom network visualization tools#utility network analysis in telecom#geospatial solutions for telecom utilities
0 notes
Text
Reliable GIS Mapping Services for Your Business Needs
In today’s data-driven world, businesses are constantly seeking ways to make informed decisions, improve efficiency, and maintain a competitive edge. Geographic Information Systems (GIS) have emerged as a powerful tool for analyzing spatial data and deriving actionable insights. GIS mapping services play a critical role in various industries, offering solutions to challenges ranging from resource management to marketing strategies. In this blog, we’ll explore the significance of GIS mapping services, their applications, and how they can transform your business operations.
What Are GIS Mapping Services?
GIS mapping services involve the creation, analysis, and visualization of geographic data to provide valuable insights for decision-making. These services use advanced tools and technologies to collect, process, and represent spatial information in the form of maps, charts, and reports.
GIS mapping goes beyond simple cartography by integrating multiple layers of data, such as demographics, terrain, infrastructure, and market trends, into an interactive format. This enables businesses to understand the geographical aspects of their operations and plan more effectively.
Why Your Business Needs GIS Mapping Services
GIS mapping services can provide a competitive advantage by offering insights that are otherwise inaccessible. Here’s why they are essential:
Enhanced Decision-Making GIS mapping enables businesses to analyze data spatially and temporally, leading to better decision-making. For example, a retail company can use GIS to identify optimal store locations based on customer demographics, foot traffic, and proximity to competitors.
Improved Resource Management By mapping resources such as assets, utilities, or land use, GIS helps businesses manage them more efficiently. This is particularly beneficial for industries like agriculture, real estate, and logistics.
Cost Optimization GIS mapping identifies inefficiencies and suggests cost-effective solutions. For instance, logistics companies can optimize delivery routes using GIS to save on fuel and time.
Risk Mitigation Businesses can use GIS to assess risks related to natural disasters, environmental hazards, or market trends. This proactive approach helps in minimizing potential losses.
Customer Insights and Market Analysis GIS mapping services offer detailed insights into customer behavior, market segmentation, and purchasing patterns, allowing businesses to tailor their marketing strategies.
Key Applications of GIS Mapping Services
1. Urban Planning and Development
Governments and developers rely on GIS mapping for city planning, zoning, and infrastructure development. GIS ensures that urban areas are designed to accommodate population growth while maintaining sustainability.
2. Environmental Management
GIS mapping is critical for monitoring environmental changes, managing natural resources, and assessing the impact of human activities on ecosystems. For example, conservation organizations use GIS to track deforestation or wildlife habitats.
3. Logistics and Supply Chain
In logistics, GIS mapping is used to plan routes, monitor shipments, and optimize warehouse locations. This ensures timely delivery and reduced operational costs.
4. Retail and Marketing
Retailers use GIS mapping to analyze customer demographics, identify high-potential markets, and plan targeted campaigns. By visualizing consumer trends geographically, businesses can maximize ROI on their marketing efforts.
5. Telecommunications
GIS plays a significant role in network planning and optimization for telecom companies. It helps in locating towers, managing coverage areas, and addressing service issues effectively.
6. Disaster Management
GIS mapping is invaluable for disaster preparedness, response, and recovery. It provides real-time data on affected areas, enabling efficient resource allocation during emergencies.
How to Choose Reliable GIS Mapping Services
When selecting a GIS mapping service provider, consider the following factors to ensure you get the best solution for your business needs:
1. Experience and Expertise
Choose a provider with a proven track record in delivering GIS mapping services. Look for expertise in your industry and their ability to handle complex spatial data projects.
2. Customizable Solutions
Every business has unique needs. Ensure the service provider can tailor GIS solutions to meet your specific requirements, whether it’s creating interactive maps, integrating existing data, or offering predictive analytics.
3. Advanced Tools and Technology
Reliable GIS mapping services should utilize state-of-the-art software and tools like ArcGIS, QGIS, or Google Earth Pro. Advanced technology ensures accuracy, scalability, and faster turnaround times.
4. Data Security and Privacy
As GIS mapping involves sensitive data, the provider must have robust security measures in place to protect your information from breaches or unauthorized access.
5. Customer Support and Training
A good provider offers ongoing support and training to help your team make the most of GIS solutions. This ensures smooth integration and operation of GIS tools in your business processes.
Future Trends in GIS Mapping Services
The field of GIS mapping is continuously evolving, with emerging technologies and trends shaping its future:
1. Artificial Intelligence (AI) and Machine Learning (ML)
AI and ML are transforming GIS by automating data analysis and providing predictive insights. For example, ML algorithms can predict traffic patterns or customer behavior based on historical data.
2. Integration with IoT
The Internet of Things (IoT) enables real-time data collection from sensors and devices. This integration enhances GIS applications in smart cities, agriculture, and logistics.
3. 3D Mapping and Visualization
3D GIS mapping provides more realistic and detailed representations of geographic data, aiding in urban planning, real estate, and disaster management.
4. Cloud-Based GIS Solutions
Cloud technology is making GIS mapping services more accessible and scalable. Businesses can access GIS tools and data from anywhere, reducing infrastructure costs.
5. Big Data Analytics
The combination of GIS and big data analytics allows businesses to process massive datasets and uncover deeper insights, especially for market research and environmental studies.
Success Stories: GIS Mapping in Action
Example 1: Optimizing Delivery Routes for a Logistics Company
A global logistics firm used GIS mapping to optimize its delivery routes across multiple cities. By analyzing traffic patterns, road conditions, and delivery points, the company reduced fuel costs by 15% and improved delivery times by 20%.
Example 2: Enhancing Retail Strategy for a Fashion Brand
A retail clothing brand leveraged GIS mapping to identify areas with high customer demand. By opening stores in these locations and launching targeted marketing campaigns, the brand experienced a 30% increase in sales within six months.
Example 3: Environmental Conservation Efforts
A conservation organization used GIS mapping to track deforestation in a tropical rainforest. The data helped authorities implement targeted interventions, reducing illegal logging activities by 40%.
Conclusion
GIS mapping services are a game-changer for businesses aiming to thrive in a competitive landscape. By leveraging spatial data, companies can unlock valuable insights, optimize operations, and make smarter decisions. Whether you’re in retail, logistics, urban planning, or environmental management, reliable GIS mapping services can provide the tools you need to succeed.
When choosing a provider, prioritize experience, customization, and advanced technology to ensure the best results. As GIS continues to evolve with innovations like AI, IoT, and cloud-based solutions, integrating these services into your business strategy is not just a choice but a necessity.
Invest in GIS mapping services today and chart a course toward sustainable growth and success.
0 notes
Text
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: [email protected]
0 notes
Text
Connected Logistics Market is expected to witness Incredible Growth during 2021-2031
Global Connected Logistics report from Global Insight Services is the single authoritative source of intelligence on Connected Logistics market. The report will provide you with analysis of impact of latest market disruptions such as Russia-Ukraine war and Covid-19 on the market. Report provides qualitative analysis of the market using various frameworks such as Porters’ and PESTLE analysis. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.
Connected logistics is a term used to describe the process of integrating different logistics systems and networks in order to create a more efficient and effective supply chain. This can be done through the use of technology, such as RFID tags and GPS tracking, to connect different parts of the supply chain and allow for real-time information sharing. By connecting different logistics systems, businesses can reduce costs, improve communication, and optimize their operations.
To Remain 'Ahead' Of Your Competitors, Request for A Sample – https://www.globalinsightservices.com/request-sample/GIS23440
Key Trends
There are several key trends in Connected Logistics technology.
One is the trend toward more automation and robotics. This is driven by the need for speed and efficiency in the logistics industry.
Additionally, there is a trend toward more data-driven decision-making. This is driven by the need for better visibility and control over the supply chain.
Additionally, there is a trend toward more collaborative decision-making. This is driven by the need for better coordination and communication between different stakeholders in the supply chain.
Market Segments
The connected logistics market is segmented by component, transportation, end-user, and region. By component, the market is classified into devices, software, and services. Based on transportation, is bifurcated into roadways, railways, airways, and seaways. On basis of the end-user, it is divided into manufacturing, IT & telecom, oil & gas, automotive, healthcare, retail, and others. Region-wise, the market is segmented into North America, Europe, Asia Pacific, and the rest of the World.
Key Players
The global connected logistics market Hexagon AB, Robert Bosch, IBM Corporation, Microsoft Corporation, Oracle Corporation, Intel Corporation, Cisco Systems, SAP SE, Infosys Limited, Tata Consultancy Services Ltd., and others.
With Global Insight Services, you receive:
· 10-year forecast to help you make strategic decisions
· In-depth segmentation which can be customized as per your requirements
· Free consultation with lead analyst of the report
· Excel data pack included with all report purchases
· Robust and transparent research methodology
About Global Insight Services:
Global Insight Services (GIS) is a leading multi-industry market research firm
headquartered in Delaware, US. We are committed to providing our clients
with highest quality data, analysis, and tools to meet all their market research
needs. With GIS, you can be assured of the quality of the deliverables, robust
and transparent research methodology, and superior service.
Contact Us:
Global Insight Services LLC
16192, Coastal Highway, Lewes DE 19958
E-mail: [email protected]
Phone: +1-833-761-1700
0 notes
Text
Ascites Market 2021 Is Rapidly Increasing Worldwide in Near Future | Top Companies Analysis- Sofinnova,PharmaCyte, Biotech Inc.,Sequana Medical NV,BioVie, Inc., Becton,Dickinson and CompanyAscites
Ascites Market Size, Status and Forecast 2020-2026
Global Ascites market 2021-2026 in-depth study accumulated to supply latest insights concerning acute options. The report contains different predictions associated with Ascites market size, revenue, production, CAGR, consumption, profit margin, price, and different substantial factors. Whereas accentuation the key driving and Ascites restraining forces for this market, the report offers trends and developments. It additionally examines the role of the leading Ascites market players concerned within the business together with their company summary, monetary outline and SWOT analysis.
Request for a sample copy of the report to get extensive insights into Ascites market at https://www.datalibraryresearch.com/sample-request/ascites-market-2205?utm_source=free&utm_medium=41
Key Players
The report has included a profiling of notable vendors prevalent in the market. It also includes a study of the strategical steps undertaken by these key players to either retain their market share or to expand and capture larger shares.
Major Players Covered in Ascites Market Report are: Sofinnova,PharmaCyte, Biotech Inc.,Sequana Medical NV,BioVie, Inc., Becton,Dickinson and Company,Medtronic plc,GI Supply,QED Bioscience, Inc.,Fresenius SE & Co. KGaA
Market Dynamics
The global Ascites market report inculcates a detailed study regarding different factors that are affecting the growth trajectory of the market. These dynamics inculcate factors that are propelling the growth of the market during the forecast period. Further, it also includes the factors that are poised to challenge such growth of the market during the same estimate period. These factors are helping the market research experts with unveiling various hidden trends that are influencing the growth trail of the global Ascites market.
Market Segmentation
The report titled ‘global Ascites market’ includes a segmentation of the market that has enabled a specific preview of the market for that relevant segment. This allows the researchers to provide detailed information regarding specific segments to relevant audience to this report and facilitate better decision-making. Some common aspects based on which this segmentation is conducted include type, industry, end-user, distribution channel, components, services, and region. The regional analysis has been conducted for the segmentation of North America, Asia Pacific, South America, Europe, and the Middle East & Africa. This regional segmentation has supported a regional market study to enable better decision-making for readers belonging to these regions or readers interested in relevant regions.
Research Methodology
The global Ascites market is analyzed using Porter’s Five Force Model to gain precise insights in the same. Further, a detailed SWOT analysis is also done to provide a comprehensive view of the market landscape.
Any Questions/Queries or need help? Speak with our analyst: https://www.datalibraryresearch.com/sample-request/ascites-market-2205?utm_source=free&utm_medium=41
Ascites Market Report Provides Comprehensive Analysis on Following:
· COVID-19 Impact Analysis & Post COVID-19 Revenue Opportunities
· Ascites Industry Insights and Growth – Relevancy Mapping
· Market Forecast – Estimation & Approach
· Data mining & efficiency
· Interconnectivity & Related markets
· Market Competition Outlook & Key Statistics
· Strategic Analysis for Cost Optimization
· Ascites Market Dynamics (DROC & PEST Analysis)
· Ascites Market Key Trends
· KOL Recommendations & Investment Landscape
· Company Competitive Intelligence
About Us:
Data Library Research is a market research company that helps to find its passion for helping brands grow, discover, and transform. We want our client to make wholehearted and long term business decisions. Data Library Research is committed to deliver their output from market research studies which are based on fact-based and relevant research across the globe. We offer premier market research services that cover all industries verticals, including agro-space defense, agriculture, and food, automotive, basic material, consumer, energy, life science, manufacturing, service, telecom, education, security, technology. We make sure that we make an honest attempt to provide clients an objective strategic insight, which will ultimately result in excellent outcomes.
Contact Us:
Rohit Shrivas,
Senior Manager International Sales and Marketing
Data Library Research
Ph: +13608511343 (US)
www.datalibraryresearch.com
0 notes
Text
In Memory Computing Market Research Report Countries, Growth Rate, Latest Trends, Future Technologies Forecast to 2026 | COVID-19 Impact
Market Highlights
Global In-Memory Computing Market is expected to perceive a decent rise in income in the upcoming period. In this report, Market Research Future (MRFR) includes the segmentation and dynamics of the market to offer a better glimpse of the coming years.
The in-memory computing market is substantially influenced due to the increasing pandemic situation of COVID-19 across the world. The COVID-19 pandemic has had a major impact on the global economy. The in-memory computing market is anticipated to grow significantly due to the increasing need for rapid data processing and the explosion of big data across various verticals.
Segmentation:
Global In-Memory Computing Market Size has been segmented based on Component, Application, Deployment Mode, Organization Size, Vertical, and Region.
Based on component, the in-memory computing market has been segmented into solutions and services. The solution segment is further divided into in-memory database (IMDB), in-memory data grid (IMDG), and data stream processing. The IMDB segment held the largest market share of the global in-memory computing market and is also expected to witness the highest CAGR during the forecast period. IMDB keeps the whole dataset in RAM instead of a disk drive to produce quicker response times. The in-memory database (IMDB) segment is further sub-classified into online analytical processing (OLAP) and online transaction processing (OLTP).
Based on application, the in-memory computing market has been segmented into sentiment analysis, geospatial/GIS processing, sales and marketing optimization, predictive analysis, risk management and fraud detection, supply chain management, and others. The risk management and fraud detection segment is expected to account for the highest market share during the forecast period. The highest market share of the risk management and fraud detection segment is accredited to a growing focus on enhancing risk intelligence capabilities to fight risk exposures.
Based on deployment mode, the in-memory computing market has been segmented into cloud and on-premises. The cloud segment is likely to have a larger market share in the in-memory computing market during the forecast period. This is mainly due to the cloud database solution that provides scalability, speed, and flexibility. It enables security, privacy, and anonymization with enterprise reliability
Based on organization size, the in-memory computing market has been segmented into SMEs, large enterprises. The SMEs segment held the larger market share of the global in-memory computing market. Increasing demand for big data and the growing number of SMEs drive the growth of the small and mid-size enterprises segment.
Based on vertical, the in-memory computing market has been segmented into BFSI, IT and telecom, retail and e-commerce, healthcare and life sciences, transportation and logistics, government and defense, energy and utilities, media and entertainment, and others. The BFSI segment accounted for the largest market share of the global in-memory computing market and is also expected to witness the highest CAGR during the study period owing to the increasing usage of mobile and Internet banking.
Regional Analysis
The regional analysis for the in-memory computing has been done for North America, Europe, Asia-Pacific, and the Middle East & Africa, and South America. The market in North America accounted for the largest share in 2019, and it is expected to register strong growth during the forecast period. The market in Asia-Pacific is expected to register the highest CAGR during the forecast period. This growth can be attributed to the increasing adoption of cloud and IoT and increasing use of the web.
Key Players
The key players of the global in-memory computing market are IBM (US), SAS Institute (US), TIBCO (US), Software AG (Germany), Intel (Germany), Qlik (US), Red Hat (US), Altibase (US), GigaSpaces (US), Teradata (US), Kognitio (UK), Salesforce (US), Workday (US), Enea (Sweden), Microsoft (US), Oracle (US), Hazelcast (US), MongoDB (US), Exasol (Germany), SAP (Germany), Fujitsu (Japan), GridGain (US), VoltDB (US), McObject (US), and MemSQL (US).
Browse Complete Report @ https://www.marketresearchfuture.com/reports/in-memory-computing-market-10383
0 notes
Text
Location Analytics Market Trends, Size, Competitive Analysis and Forecast - 2019-2025
The Location Analytics market is expected to grow at a CAGR of 14% over the forecast period 2019-2025. The Data Bridge Market Research Report for Fintech Blockchain Market provides analysis and insights on various factors that are expected to become widespread during the forecast period, while their impact on the market growth.
Location analysis refers to a business intelligence (BI) process that is applied to gain insights from geographic or location-based data. This allows businesses and organizations to merge 3D data with existing BI data across industries.
Location Analytics Market is available at: https://www.orionmarketreports.com/location-analytics-market/37963/#ert_pane1-0
The major players covered in the location analytics market report are Google LLC, Precisely, IBM, SAS Institute Inc., Oracle, Microsoft, Tomtom International BV, HEXAGON, Zebra Technologies Corporation, Galigeo, Purple Innovation LLC, HERE, ALTERYX Inc., Indooratlas Ltd., CARTO, Tibco Software Inc., PLACEIQ, Ascend Cloud Solutions, Maplarge, Hardcastle GIS among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
Get Sample Copy of Location Analytics Market : https://www.orionmarketreports.com/location-analytics-market/37963/#ert_pane1-1
Location Analytics Market segmentation:
By component:
Solutions
Services
By solution:
Geocoding and reverse geocoding
Data integration and ETL
Reporting and visualization
Thematic mapping and spatial analysis
Others (DBMS and socio-demographic data).
By service:
Consulting
Integration and deployment
Support and maintenance
By location type:
Outdoor location
Indoor location
By application:
Risk management
Emergency response management
Customer experience management
Remote monitoring
Supply chain planning and optimization
Sales and marketing optimization
Location selection and optimization
Others (predictive asset management and inventory management)
By vertical:
Retail
Manufacturing
Government and defense
Media and entertainment
Transportation and logistics
Energy and utilities
Telecom and it
Healthcare
Tourism and hospitality
Banking and financial services
Insurance
Real estate
Education
Recent Developments o Market Overview and growth analysis o Import and Export Overview o Volume Analysis o Current Market Trends and Future Outlook o Market Opportunistic and Attractive Investment Segment Geographic Coverage o North America Market Size and/or Volume o Latin America Market Size and/or Volume o Europe Market Size and/or Volume o Asia-Pacific Market Size and/or Volume o Rest of the world Market Size and/or Volume Key Questions Answered by Location Analytics Market Report
What was the Location Analytics Market size in 2018 and 2019; what are the estimated growth trends and market forecast (2019-2025).
What will be the CAGR of Location Analytics Market during the forecast period (2019-2025)?
Which segments (product type/applications/end-user) were most attractive for investments in 2018? How are these segments are expected to grow during the forecast period (2019-2025)?
Which manufacturer/vendor/players in the Location Analytics Market was the market leader in 2018?
Overview on the existing product portfolio, products in the pipeline, and strategic initiatives taken by key vendors in the market.
For more customized data, request for report customization @ https://www.orionmarketreports.com/location-analytics-market/37963/#ert_pane1-2
About Us: Orion Market Reports (OMR) endeavors to provide exclusive blend of qualitative and quantitative market research reports to clients across the globe. Our organization helps both multinational and domestic enterprises to bolster their business by providing in-depth market insights and most reliable future market trends. Our reports address all the major aspects of the markets providing insights and market outlook to global clients.
Media Contact: Company Name: Orion Market Reports Contact Person: Mr. Anurag Tiwari Email: [email protected] Contact no: +91 780-304-0404
0 notes
Text
In-Memory Computing Market by Component (Solutions & Services), Solution (IMDB (OLTP & OLAP), IMDG, and Data Stream Processing), Service, Application (Risk Management & Fraud Detection, Predictive Analysis), Vertical, and Region - Global Forecast to 2025 published on
https://www.sandlerresearch.org/in-memory-computing-market-by-component-solutions-services-solution-imdb-oltp-olap-imdg-and-data-stream-processing-service-application-risk-management-fraud-detection-predictive-ana.html
In-Memory Computing Market by Component (Solutions & Services), Solution (IMDB (OLTP & OLAP), IMDG, and Data Stream Processing), Service, Application (Risk Management & Fraud Detection, Predictive Analysis), Vertical, and Region - Global Forecast to 2025
Exponential growth of big data to improve machine-driven decision-making, decrease in the overall cost of RAM and TCO, and an increase in production with real-time and low-latency transactional processing to drive the growth of IMC market
The global IMC market size is expected to grow from USD 11.4 billion in 2020 to USD 24.5 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 16.5% during the forecast period. In-Memory Computing (IMC) is a type of middleware software that enables users to store data in RAM, across a cluster of computers, and process it in parallel. It primarily relies on keeping data in servers’ RAM for processing it at faster speeds. It especially relates to processing problems that require extensive access to data analytics, reporting, or warehousing and big data applications. The explosion of big data has prompted much research to develop systems to support ultra-low latency services and real-time data analytics. IMC offers one or multiple strategies for in-memory backups, durable storage backups, and disk-based swap space overflow to end users. It provides a comprehensive tiered storage approach, wherein users can decide what portion of the overall data set is stored in RAM and is a local disk swap space.
COVID-19 is disrupting the world, businesses, and economies, thus impacting the livelihood of people, their interaction, and the way they manage their businesses. The ability to sustain is becoming the new normal for enterprises as they are shifting their focus from growth opportunities to the implementation of drastic measures for mitigating the impact of the COVID-19 pandemic. The competition among major IMC companies is expected to be furious as most upcoming AI and analytics projects are kept on hold due to the pandemic. Hence, several companies would fight to gain a single project. Businesses are trying to return back to normal and facing multiple challenges on the customer as well as operational side. Meeting customer expectations in terms of optimizing processes, increasing security concerns due to various voice-related recording systems and networks, growing network connectivity issues, and declining industrial and manufacturing operations are some of the key business challenges. New practices such as work from home and social distancing are creating the need for remote monitoring, smart payment technologies, and building digital infrastructure for large-scale deployments. With a sudden surge in remote workers, there is an increase in the demand for advanced IMC-based solutions and services to effectively store and safeguard a huge amount of data. For instance, Netflix has witnessed nearly 16 million new users, a huge surge, in media streaming in the last quarter of 2020.
Among Solutions, the IMDB segment to record the highest growth during the forecast period
By solution, the IMDB segment is expected to account for a higher market share during the forecast period. The highest market share of the IMDB segment is attributed to the increasing demand for boosting performance and scalability, and building real-time applications, which are the major factors for the fast growth of the IMC market across the globe. IMDB solutions also help reduce development and operational costs through standardization on an IMC system. IMC solutions comprise In-Memory Data Grid (IMDG), In-Memory Database (IMDB), and Streaming Data Analysis. These solutions are a type of middleware software that enables businesses to store data in RAM, across a cluster of computers, and process it in parallel. Most of these solutions offered are claimed to be easy to deploy and are feature-rich to address complex computing rigors and requirements. IMC solutions are designed from the ground up to store data in a distributed fashion, where the entire dataset is divided into individual computers’ memory, each storing only a portion of the overall dataset. Once data is partitioned, parallel distributed processing becomes a technical necessity because data is stored in a partitioned way.
Among services, the managed services segment to record the higher CAGR during the forecast period
The services segment in the IMC market has been further divided into professional services and managed services. These services play a vital role in the functioning of IMC solutions. IMC vendors require technical support services and consulting services to quickly and smoothly deploy their solutions in the market. These services help maximize the value of enterprise investments. Service providers ensure end-to-end deployment and maintenance of IMC solutions and address pre- and post-deployment queries.
Among applications, the predictive analysis segment to record the higher CAGR during the forecast period
IMC solutions have emerged as an important requirement for enterprises to conduct the accurate analysis of data stored in the RAM of servers and storage. Even enterprises with limited financial resources and IT expertise have started implementing IMC-enabled applications to help non-technical users to quickly perform complex data analysis. IMC product capabilities are integrated with diverse business applications scattered through different verticals and designed to replenish the unique demands of business segments. Apart from established players in the IMC industry, the new entrants in the market are introducing new solutions to lure customers. The market players are focusing on meeting the demands of customers with unique product features. The report segments the overall IMC market by the following business applications: risk management and fraud detection, sentiment analysis, geospatial/GIS processing, sales and marketing optimization, predictive analysis, supply chain management, and others (image processing, route optimization, claim processing and modelling, and trade promotion simulations).
Among deployment mode, the cloud deployment segment to record the higher CAGR during the forecast period
The IMC market by deployment mode includes the on-premises and cloud segments. Deployment refers to the setting-up of the hardware, operating systems, and applications required to manage the IT ecosystem. IMC solutions can be deployed through either mode based on security, availability, and scalability. Cloud deployment offers advantages such as pay-per-use, and low installation and maintenance costs. This deployment mode is expected to show high growth in the near future.
Among organization size, the SME’s segment to record the higher CAGR during the forecast period
IMC is widely being used across major verticals. Its adoption is increasing, irrespective of organization size. Based on organization size, the IMC market is segmented into SMEs and large enterprises. Organizations are categorized among these two types based on their employee strength. SMEs have realized the necessity to structure large volumes of data, which increases with time. The adoption of IMC solutions and services is expected to be high among SMEs due to the availability of low-cost cloud deployment options. The ever-growing volume of data due to the use of social media, mobile applications, and entertainment devices is one of the major factors increasing the adoption of IMC solutions and services among SMEs and large enterprises.
Among verticals, the healthcare and life sciences vertical to record the higher CAGR during the forecast period
IMC is gaining traction across verticals, owing to the proliferation of data and demand for operational efficiency by organizations. Enterprises are harnessing the value of IMC as it promises to facilitate business users with the in-memory processing of data, enabling swift decision-making through faster business insights. The market is segmented by vertical which includes BFSI, retail and eCommerce, government and defense, healthcare and life sciences, transportation and logistics, IT and telecom, energy and utilities, media and entertainment, and others. The others vertical comprises education, manufacturing, and travel and hospitality. The BFSI vertical is the major revenue contributor to the IMC market due to the early adoption of IMC solutions in the vertical.
Among regions, North America to hold the largest market size during the forecast period
North America is expected to hold the largest market size in the global IMC market during the forecast period. The key factor favoring the growth of the IMC market in North America is the increasing demand for analytics and advanced analytics platforms by small and medium businesses and government agencies would fuel the demand for IMC products in North America. Europe is expected to be in second position in terms of market size and market share during the forecast period. The rising adoption of cloud and IoT, and increasing use of the web are some of the factors driving the IMC market growth in Europe. APAC is expected to record the fastest growth rate during the forecast period. The IMC market is expected to witness considerable developments and adoption of solutions across APAC during the forecast period. The increasing number of players across different regions is further expected to drive the IMC market.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the IMC market.
By Company: Tier I: 34%, Tier II: 43%, and Tier III: 23%
By Designation: C-Level Executives: 50%, Directors: 30%, & Other level: 20%
By Region: North America: 30%, APAC: 25%, Europe: 30%, Latin America: 10%, Middle East and Africa: 5%
The report includes the study of key players offering IMC solutions and services. It profiles major vendors in the global IMC market. The major vendors in the global IMC market include Microsoft (US), Oracle (US), SAP (Germany), IBM (US), SAS Institute (US), TIBCO (US), Software AG (Germany), Fujitsu (Japan), Red Hat (US), Altibase (US), GigaSpaces (US), GridGain (US), Hazelcast (US), MongoDB (US), Exasol (Germany), Intel (Germany), Qlik (US), Salesforce (US), Workday (US), Teradata (US), Kognitio (UK), Enea (Sweden), VoltDB (US), McObject (US), and MemSQL (US).
Research Coverage
The IMC market is segmented by component, application, deployment mode, organization size, vertical, and region. A detailed analysis of the key industry players has been undertaken to provide insights into their business overviews; services; key strategies; new service launches; partnerships, agreements, and collaborations; business expansions; and competitive landscape associated with the global IMC market.
Key Benefits of Buying the Report
The report would help the market leaders/new entrants in the following ways:
It comprehensively segments the IMC market and provides the closest approximations of the revenue numbers for the overall market and its sub segments across regions.
It would help stakeholders understand the pulse of the market and provide information on the key market drivers, restraints, challenges, and opportunities.
It would help stakeholders understand their competitors better and gain more insights to enhance their positions in the market. The competitive landscape section includes a competitor ecosystem, new service developments, partnerships, and acquisitions.
0 notes
Text
How the telecommunication industry is getting reshaped with geo-spatial technologies
Telecommunication is a highly competitive industry and a major factor that has enabled the leaders to gain a competitive edge is their decision to factor in the power of location intelligence in their functioning at an early stage. Location intelligence has been helping them to understand vital facts about their business such as how many customers they can reach, how many towers they need to build and connect, how they can optimize the existing networks, etc. By keeping the ‘where’ dimension in their functioning, these companies have been able to model and test the best sites to locate towers for optimum coverage, understand the demographics of the population, and target outreach efforts.
Telecommunication is a highly competitive industry and a major factor that has enabled the leaders to gain a competitive edge is their decision to factor in the power of location intelligence in their functioning at an early stage. Location intelligence has been helping them to understand vital facts about their business such as how many customers they can reach, how many towers they need to build and connect, how they can optimize the existing networks, etc. By keeping the ‘where’ dimension in their functioning, these companies have been able to model and test the best sites to locate towers for optimum coverage, understand the demographics of the population, and target outreach efforts.
Geo-spatial has been an integral part of telecom networks so far, but with 5G in the picture, the relevance of geodata in telecommunication increases manifold.
Why Geo-spatial is Crucial in Telecom’s sustainable development
Optimizing telecom networks is not just about rolling out new technologies like 5G. The telecom companies need to focus on analyzing and optimizing the existing networks as well, and this cannot be achieved without the effective use of geospatial data. Using new location data streams, they can understand consumers at a deeper granularity. Be it long-term network planning, developing the marketing strategy or capability building, geospatial becomes their ‘go-to’ technology as well.
With more complex 5G networks, the necessity of having accurate and detailed geospatial data will heighten. Location technology is vital for telecom network planning, risk management, and performance monitoring, and with 5G the importance will intensify.
5G is a wireless technology standard that promises to bring with it enhanced capacity and speed of data transmissions, often referred to as low latency. This is required to enable communication between millions of devices, sensors, and infrastructure. This split-second flow of densely packed data will allow intelligent systems to make more informed decisions while managing daily operations of smart communities.
5G will serve as the data transmission backbone of future technologies and cities, and to make the technology a success, telecom operators have to necessarily integrate spatial data and big data into their operations. So is the case with existing networks (2G, 3G, 4G/LTE) which aim to upgrade themselves and provide better services.
Geospatial data in all realms
Low-latency data throughput, which must be achieved by 5G to fulfill its promises of high-speed connectivity and data transmission, requires it to operate in a very broad bandwidth of the radio-frequency (RF) spectrum with a much higher frequency. Accordingly, cellular networks need to be reconfigured into much smaller, tighter cell sites, and as compared to 4G networks, operators are required to install many more cell sites per square kilometer. For such precise planning of installation sites, using location intelligence becomes necessary.
Next, to have undisturbed high-speed data transmission and network availability, it is necessary to ensure that 5G signal paths do not get obstructed by objects such as buildings and trees. For ensuring this, highly accurate geodata is required. Accurate maps that display terrain and infrastructure can help the telecom operators to determine where the towers can be built such that they can relay high-frequency signals effectively.
Managing Risks and Assets
Location intelligence and access to highly accurate geospatial data can help the telecom operators to not only carry out effective network planning but also manage the assets after installation. Accurate identification of problem sites will help the teams to resolve the issues quickly. This quick and efficient resolution of issues will lead to enhanced customer satisfaction.
Using visual mapping dashboards and automated alerts triggered from the GIS system based on geofencing or risk proximity, Network Operating Centers can get a clear overview of physical and human assets and proactively monitor the risks that could threaten the network operations. Risks could be environmental such as hurricanes, earthquakes, and storms as well as those related to health and safety.
Timely identification of the risks will allow the organizations to take the necessary action faster and add more satisfied customers to the database.
Improving Workforce Management
There remains no doubt that due to the presence of more advanced capabilities, 5G networks and infrastructure will be more complex than the 3G and 4G networks. Accordingly, there will be an increase in the number of assets (towers, microcells) as well. The increased number of assets will require more installation and maintenance work, putting more pressure on the field service workforce.
In such high-pressure situations, geospatial technology will enable the workforce to be more efficient. Geospatial technology will help in improving and automating several aspects of the workflow management; right from route planning optimization to dispatch and vehicle tracking, to monitoring real-time outage intervention status. The outcomes so achieved will be par excellence.
Enhancing Customer Experience
Right from the planning stage, geospatial data will significantly help the telecom operators identify the best markets to develop. Based on data related to population density or population segmentation expenditures, the operators can identify the best areas for potential 5G consumers. Demographic data can also help them to ascertain where the towers should be installed as it would be better to keep them closer to areas where the maximum number of customers will be located.
An important component of good customer service is the easy availability of a physical store. It is necessary for the telecom providers to place the stores strategically to be able to cater to the existing and new customers better. This is another area where geospatial data has been playing a vital role. It has been helping the telecommunication companies in identifying the best location for their stores and with 5G the story will be no different.
In today’s digital world, even before a customer arrives at a physical store, he/she researches the carrier, its coverage quality, or availability of the service in their geographic area through the company website. For providing such information accurately to the prospective customers, telecom companies have to harness the power of location technology, be it for geocoding the customer location, validating service availability, or allowing them to select the nearest store-based on preferred criteria. This practice has been adopted by the leaders in the fields and with competition enhancing, the 5G players definitely need to imbibe the same.
Telecom companies must work towards including highly accurate coverage maps in their websites which can help the prospective customers to know when the 5G technology will be available near them. Easy availability of such information will help in building up the customer base. Moreover, analysis of such queries can largely enable the telecom provider to decide where to invest while building up the network such that it can cater to a larger number of customers.
After the service is in place, geospatial data will also be beneficial for resolving customer complaints. It can be used to perform pre-diagnostic tests by locating potential causes, whether it’s a weak coverage close to a customer location, an ongoing outage in proximity to a customer, or a cell site that reaches maximum capacity. Such location-based analysis can greatly speed up the resolution time and improve customer satisfaction while making the telecom provider more efficient.
Where to Find High-Quality Geodata
So, there is no doubt that using geospatial data, telecom companies can aim towards creating more robust networks and achieving the goals of very high data speeds, low latency, enhanced reliability, huge network capacity, and better user experience to the increased numbers of users.
However, an important question arises here, ‘Where to get high-quality geospatial data that meets the needs effectively?’
One answer is Cloudeo.
Cloudeo is the platform that enables Telecom companies to access multiple high-quality, ready-to-use data from various geodata creators like satellites, airplanes, and drones, in-situ-data, etc. under Data as a Service (DaaS) in a few clicks. Additionally, the Software as a Service (SaaS) feature allows the customers to use the latest version of different types of software needed to process the geodata without worrying about updates, releases, etc. The platform strategically brings together Partners and customers into one standard operating platform globally.
This cloud-based market platform hosts a wide range of value-added service providers and developers who can simplify and customize the data as per the user’s needs. With Infrastructure as a Service (IaaS) provision, the users can use all of Cloudeo’s services without increasing their IT infrastructure cost. The service works excellently with user-specific specifications, code, workflow, and even has to scale up options at a very affordable cost at the customer’s preferred location and time.
All in all, the platform stands out as the perfect choice for high-valued geoinformation services that telecom companies are looking at, more actively now with the promise of 5G in place. By bringing in all the data creators, data processors, and data users into one platform, Cloudeo is creating the most user-friendly geospatial solutions marketplace to meet your company’s need of accessing highly accurate geospatial data.
Explore Cloudeo today and take the first step towards creating more robust networks that will power the smarter cities of tomorrow.
0 notes
Text
لایسنس Atoll.Std
لایسنس Atoll.Std
Both X86 & X64 With latest crosswave packege Releases
“ATOLL is a comprehensive Window-based multi-technology and user-friendly radio-planning environment that supports wireless telecom operators during the whole network lifetime, from initial design to densification and optimisation. More than an engineering tool, ATOLL is an open, scalable and flexible technical information system that integrates easily with other IT systems, increases productivity and shortens lead times. ATOLL supports a full range of implementation scenarios, from standalone to enterprise-wide server-based configurations using distributed and parallel computin
Atoll Highlights Atoll uniquely combines architectural and functional features that provide operators with a powerful, scalable, and flexible framework for streamlining their network design and optimization processes.
Multi-technology Network Modelling Atoll is a comprehensive multi-technology radio planning and optimization platform which includes unified multi-technology traffic models, Monte Carlo simulators, and Automatic Cell Planning (ACP) module. Atoll can model the traffic-related aspects of multi-technology networks and dynamically spread traffic across 2G, 3G, 4G, and 5G network layers comprising macro, micro, small cells, and Wi-Fi hot spots.
۵G Network Design Atoll’s modular and advanced 5G NR radio technology modelling capabilities, along with the support for mm Wave propagation, massive MIMO, and 3D beam forming, provide operators with a flexible and evolutionary framework for the design and deployment of 5G networks.
Prediction and Measurement-based Planning and Optimization Atoll offers unique capabilities of using both predictions and live network data throughout the network planning and optimization process. Live-network data (KPIs, UE/cell/MDT traces, and CEM data) add real-world information to predictions allowing for enhanced modelling of traffic evolution, hot-spot identification, and radio signal propagation. Live-network data can also be used in Atoll to drive the planning process (small cell selection) and to steer the optimization algorithms of the AFP and the ACP.
High Performance GIS Atoll incorporates a high-performance built-in geographic information system (GIS) exclusively designed for radio network planning and optimization. Atoll’s 64-bit GIS engine allows working with high-resolution and large-scale Geo data while delivering high performance in data manipulation and display.
Atoll supports web map services, online maps (Bing, OSM, etc.), and standard formats including BIL, TIF, BMP, Vertical Mapper, ArcGIS, Map Info, etc. Atoll smoothly interfaces with commonly used desktop GIS such as MapInfo and ArcGIS.
In-built Customization Capabilities Atoll’s in-built task scripting and integration capabilities enable data as well as service-level integration, allowing operators to streamline network planning and optimization processes
نوشته لایسنس Atoll.Std اولین بار در تلکام تولز. پدیدار شد.
from WordPress https://ift.tt/2Ssuqgm via IFTTT
0 notes
Link
Global Market Insights looks at the factors driving the geographic information system (GIS) market and how the energy segment will contribute towards the market growth.
The research firm forecasts the GIS market to surpass a valuation of $$9 billion by 2024.
Touted to boast of a broad application scope spanning key business sectors, the global GIS market has surfaced as a fundamental entity representing profitability and operational efficiency over the past several years.
From conducting surveys and mapping activities for the energy segment to developing telematics and navigational solutions for transportation purpose, GIS services have become a basic necessity while undertaking new ventures or expanding territorial operations.
The prominent resources and data which companies acquire as well as manage using geographically-relevant information include demographics, workforce distribution, customer behavior and real-time asset monitoring.
Suitable GIS allows for more reliable analysis of this data to make critical business decisions, unlike complex legacy systems and previous data collection methods where small bits of important statistics could easily be overlooked.
Development of modern hardware and software components, that can work with remote sensing technologies and spatial information-gathering objects, has picked up pace with the increased consumer demand for various services.
In recent years, with the surge in demand for energy and communication along with the need for more extensive and reliable energy infrastructure, the utility industry, including power, oil & gas and telecom, has rapidly adopted GIS to achieve significant business transformation and bring more efficiency into every day operations.
Managing the integration of wind and solar energy with modernised electricity grids to meet national sustainability goals has further induced the need for high-tech utility solutions.
Geographical data tracking has the potential to considerably improve the service capabilities of telecom companies as well, since mapping, mobile asset management and consumer data are crucial factors that influence major decisions.
Keeping an eye on investments like tools, people and communications, infrastructure through GIS data helps in timely equipment maintenance, while access to demographic information enables better handling of customer contracts.
Utility applications and the GIS market
Regardless of the type of utility services, GIS is essential to determine infrastructure requirements, forecast vulnerabilities using real-time data, prioritise repair-maintenance tasks as per geographic specifications and ensure interoperability of different business components. These features have increasingly become vital due to growing power consumption and stringent policies regarding utility rates and environmental control.
Planning and designing networks: Accounting for the largest share of investments made by a utility firm, networks form the core of business operations which need effective planning and design to avoid failure of services.
GIS-powered insights and decisions enable companies to not only design efficient networks to reach customers, but also save considerable cost incurred on engineering, development and supply chain services.
Referring to data submitted to the US Federal Energy Regulatory Committee, between 2015-2016 running one mile of natural gas pipeline cost around $$7.65 million per mile. This demonstrates the importance of building a robust network which is able to reach customers, allows for easy workflow management and tracking of resources.
GIS software are able to assist planners in developing critical utility networks like water and gas distribution, district energy grids, wastewater systems, among others using precise mapping technologies and data analytics.
Managing business assets: Utility services are by default asset-based and firms have always struggled to manage them due to the spread of physical networks over vast territories and in different weather conditions.
Although a large number of existing assets are difficult to monitor and maintain, the GIS industry can help in enhancing the management of new assets which are a part of a more decentralized, smart grids.
Duke Energy, for instance, has total assets of $133 billion and serves more than 7.4 million electric customers in the US.
The company is consistently expanding its solar energy initiatives and recently bid for a 680 MW project that would power almost 125,000 households at peak output.
Such efforts underscore the requirement of GIS and other smart technologies to manage and optimize physical assets of utility providers with the growing mix of renewables in the energy supply.
Outage management: Power failures caused by weather events and faults in equipment could lead to millions in losses for utility providers as well as commercial operations in the area. Reportedly, eight major markets in the U.S. forfeit nearly $27 billion every year owing to power outages, with some businesses accruing bigger losses than others.
Today, utilities can avail the services of GIS providers to acquire mapping and data management abilities for enhancing outage management, by building a map that indicates physical assets and offering a graphic display of size and effect of events such as storms.
Continuous gathering of data can assist in forecasting when an outage could take place, possible location of the damage and anticipate which areas may get affected by weather. It also allows firms to dispatch a field crew even before an event occurs, enabling predictive maintenance. GIS also makes it easy for mobile workers to access the same information as those in the back offices, making operations more efficient.
Regulatory compliance: Most countries around the world have strict regulatory standards to be implemented during city planning activities or setting up of utility services like water supply, sewer flow gas pipelines and electricity lines.
Precise mapping and monitoring is needed to determine the delivery flow of utilities and predict service interruptions. In doing so, enormous amounts of data are collected regarding the area and GIS is a technology that is able to manage and analyze this data more effectively.
Planners have to evaluate whether new infrastructure will comply with regulatory demands, which can be done using GIS-based data. Remarkably, GIS software could help create visual presentations of the environmental conditions in an area, helping to compare between current settings and estimated outcomes of proposed utility network design and development. In addition to helping meet regulatory demands, the GIS industry would also help utilities in creating strategies to make amenities and services more accessible and reliable.
https://ift.tt/eA8V8J
0 notes
Text
Location Intelligence Market Scale Worth $25.25 Billion By 2025 | CAGR: 15.3%
San Francisco, 24 Sep 2018: The global location intelligence market size is anticipated to reach USD 25.25 billion by 2025, according to a new study by Grand View Research Inc. It is anticipated to expand at a CAGR of 15.3% over the forecast period. Increasing penetration of network infrastructure and smart devices coupled with rapid digitization give organizations access to diverse information about consumers, system performance, and assets among others. This factor is anticipated to spur the global location intelligence market. Furthermore, rising demand for location data to enhance business operations and to deliver personalized services is expected to further propel market growth.
Location intelligence is a business intelligence tool capability enabled by data collected from Internet of Things (IoT) and Geographic Information System (GIS) embedded devices. It enables businesses to identify consumer trends, buyer behavior, and other information about niche markets. This helps organizations make informed decisions, deliver better products and services, and mitigate market uncertainties. Organizations are incorporating real-time location monitoring capabilities in various devices, especially smartphones, for monitoring and recording geographic position of consumers to analyze trends, improve customer experience, and optimize business operations.
Majority of consumer electronics manufacturers are incorporating a variety of software and hardware components to collect consumer data over the internet. This enables them to target right audience and gain market share. Booming smartphone and smart devices industry in Asia Pacific (APAC) is expected to drive the market growth. Steady rise of investments in IoT technologies, number of smartphone users, and spending on connected devices in APAC countries are predicted to drive the location intelligence market over the forecast period. However, lack of network infrastructure, data privacy, awareness about geospatial and predictive analytics, as well as various operational challenges can hinder market growth.
To request a sample copy or view summary of this report: www.grandviewresearch.com/industry-analysis/location-intelligence-market
Further key findings from the study suggest that:
North America accounted for the largest market share in 2017, owing to highest adoption of IoT and presence of key players, such as Google LLC, Apple Inc., Qualcomm Inc., TIBCO Software Inc., ESRI, and HERE
European Commission is heavily investing in IoT infrastructure and location intelligence technologies to accelerate market development in the region
Asia Pacific is expected to experience significant growth over the forecast period, owing to rising number of smartphone users and service providers, enhancement of networking technologies, and rising use of social media
Transportation and logistics accounted for over 19.0% of the location intelligence market in 2017
Technological advancements in network communication, position determination techniques, and sensor technologies enable organizations to adopt various innovative location intelligence tools
In 2017, sales and marketing optimization and customer management applications accounted for over 20.0% and 17.0% market share respectively. These applications enable assessment of spending patterns, consumer behavior, and forecast sales enabling optimization of profitability.
Grand View Research has segmented the global location intelligence market on the basis of application, service, vertical, and region:
Location Intelligence Application Outlook (Revenue, USD Million, 2015 - 2025)
Workforce Management
Asset Management
Facility Management
Risk Management
Remote Monitoring
Sales & Marketing Optimization
Customer Management
Others
Location Intelligence Service Outlook (Revenue, USD Million, 2015 - 2025)
Consulting
System Integration
Others
Location Intelligence Vertical Outlook (Revenue, USD Million, 2015 - 2025)
Retail & Consumer Goods
Government & Defense
Manufacturing & Industrial
Transportation & Logistics
BFSI
IT & Telecom
Utilities & Energy
Media & Entertainment
Location Intelligence Regional Outlook (Revenue, USD Million, 2015 - 2025)
North America
Europe
Asia Pacific
South America
Middle East & Africa (MEA)
Access press release of this research report by Grand View Research: www.grandviewresearch.com/press-release/global-location-intelligence-market
About Grand View Research:
Grand View Research, Inc. is a U.S. based market research and consulting company, registered in the State of California and headquartered in San Francisco. The company provides syndicated research reports, customized research reports, and consulting services. To help clients make informed business decisions, we offer market intelligence studies ensuring relevant and fact-based research across a range of industries, from technology to chemicals, materials and healthcare.
For More Information: www.grandviewresearch.com
0 notes
Text
Vision and overview of the utility network
In my former life at Alabama Power Company, I used to have a manager who would give me requirements like the Ronco Man’s signature line. “But wait! There’s more!” The Utility Network Management extension is much the same. The more I dive into its core features, the more its capabilities become apparent.
It has been amazing to see the interest of the partner and user community that has helped drive this project. New functionality like the utility network, attribute rules, a new service based multi-user editing model (branch versioning), and many other components are a direct result of Esri responding to the needs of the utility sector.
As a result, with the release of ArcGIS Enterprise 10.6 and ArcGIS Pro 2.1, the Utility Network Management extension is offered as a comprehensive solution to managing utility and telecom networks (telecom model not available with first release). Core tools within the Utility Network Toolbox can be used to create and configure the utility network. For automation purposes, the Utility Network Package Tools from the ArcGIS solutions team are available with asset packages for electric, gas, and water domains.
So, I’d like to share Esri’s vision for the utility network and offer an overview of the functionality it brings to the table. Esri’s utility network vision has four main concepts:
• Leverage the Esri platform • Accurately model real-world assets • Provide dynamic visualization • Provide advanced editing and tracing
Leverage the Esri platform
You can model, edit, and analyze the utility network across the entire Esri platform. The extension accesses all capabilities through a service-based architecture that is available on any device or web application. Your GIS team can model and edit in the ArcGIS Pro client; while a wide range of mobile applications can be developed for your inspections and asset tracking. Web solutions can be provided for people who work in the field as well as those who work in the office. Out of the box applications like Collector and Explorer can be used with enhanced capabilities coming in future releases.
But wait! There’s more! All these new features deployed on mobile devices can provide content rich data integrity and collection modules. An excellent example of this is line inspections. Now your inspectors will be geo-empowered with mobile applications during substation inspections. And those inspectors can provide feedback simultaneously for your work plan tracking and asset repair as necessary. Mobile, web, and business intelligence applications configurations can be used in step with the Utility Network Management extension.
We have built a new robust data design that is better suited for operational intelligence and business intelligence platforms. The new framework is built around Representational State Transfer (REST) based feature services and can provide a more significant return on investment for your Enterprise package. The utility network takes advantage of a new transactional model (branch versioning) that is accessible via REST for deployed services. The utility network can handle your company’s ever-changing data needs, and it is easy to share information securely with those who need it.
This capability will be powerful for existing asset inspections such as switches, structure components, and even encroachments. Actual stub poles and even anchors can be captured in field inspections, used in work plans, or in the hectic world of restoration activities. Air patrols for pipelines can capture features that pose a risk to reliability and associate them with maintenance response teams. It’s going to be interesting to see this potential on display during emergency restoration events. Instead of paper maps, digital as-built/designed configurations will be in the hands of your field crews to assist with communication, logistics and overall improved response times.
Accurately model real-world assets
But wait! There’s even more! The utility network accurately models real-world assets. A new concept called associations allows connectivity, containment, and structural attachments to be modeled between network features, giving you an accurate representation of what’s on the ground. For the first time, there is a true interconnection between the engineering design of the asset and the operational utilization of the same feature. I have had some frustration in attempting to provide solutions that bridge the gap for years. In my experience, operational models were not suited for asset inspection. And GIS datasets were focused on maintenance work plans and were often updated manually from operational notes. It’s important to note that the Utility Network Management extension certainly has a strong operational flavor and associations enable solutions far beyond traditional operations-based GIS products.
Associations allow you to model and view the contents of complex assemblies of devices and lines and manage how assets are connected to them. Connectivity, Containment, and Structural attachment are the three associations modeled in the utility network.
With the connectivity association, you can have point to point connectivity between two devices that are not necessarily geometrically coincident. Flow systems such as gas, water, sewer, and complex valve systems can be visualized and participate in connective tracing.
This is the ‘bread and butter’ of the utility network, due to feature service and data structure optimization. You now have greater control over feature management, participation, and function than ever before. The new Utility Network Management extension allows for businesses to model multiple interconnected networks. Not only can you map facilities from source to sink and from transmission to distribution activities; but gas, electric, and water assets can be modeled in a single solution.
Container associations can help you model the association between devices contained in a structure. Historically, it has been challenging to build GIS solutions for substation or pumphouse maintenance and construction. The density of critical features in a limited space is complicated to represent at a regional scale across service territories.
The container approach takes away the challenge of modeling features in tight spaces and provides performance and scalability. This capability allows you to build simulated environments for complex switching or pumping configurations. You can utilize the utility network to capture feature locations with improved accuracy and provide spatial context during pumphouse and substation inspections. The ability to containerize features also prevents the buildup of map clutter that can reduce the visual impact of your map product.
But wait! There’s more! Structure associations enable features and objects to be associated with physical orientations on the ground. For the first-time, poles can be associated with linear network assets. The Utility Network Management extension allows for the attachment of switches, fuses, transformers, and other connectively based assets. You can correctly model H-frames and three pole configurations down to the pole asset. Associations are going to change the way utility companies track, manage and operate their assets. This is going to be a major opportunity for utilities during storm events when communication is critical between the field and the storm center. This level of data resolution will also allow for effective logistics pipelines for improved restoration times.
Provide dynamic visualization
Have I mentioned how beautiful ArcGIS Pro renders maps? GIS teams have never been so empowered to render beautiful cartographic products due to the 64-bit geoprocessing and rendering capabilities.
The utility network incorporates a mixture of cartography and network modeling for displaying network features. A common problem when mapping utilities are, it’s hard to produce a cartographic representation and still accurately represent the underlying connectivity of the network. The utility network gives users many ways to visualize their network system and assets. Display filters can be used in conjunction with associations to toggle features on or off in the map view for dense areas such as substations within electrical networks. This gives you the flexibility to control the complexity of map contents whether you are creating cartographic maps for different use cases, or inspecting and editing utility features.
But wait! There’s more! Network diagrams can be created to allow you to efficiently create multilevel representations, readily check network connectivity, and obtain logical views of the utility network. The utility network includes preconfigured schematic diagramming capabilities that allow the generation of diagrams without any setup. You can enrich them by building custom schematic diagramming models or importing models that were built for other utility networks.
Advanced editing and tracing
Honestly, it’s difficult not to get a little excited about all these new toys. The utility network provides a highly responsive and intelligent editing environment. Network rules, attribute rules, and validation in the network helps ensure data quality by preventing the entry of invalid data and associations. With advanced topology rules, behavior regarding the connection to terminal devices (such as transformers) can provide ‘on the fly’ quality control during editing sessions. Load-based restrictions can prevent you from connecting inappropriate devices or equipment. Design constraints can be applied to objects supporting or limiting flow. Offset objects that impact the operation or reliability of the linear assets can now be tracked and participate within the context of the model.
Templates allow you to create preset collections of related assets with a single click or organize a group of templates for more interactive feature creation. You can create preset templates for repeatable configurations when editing that create automatic defining of containment, connectivity, and structural attachment associations during feature creation. For example, with a preset template you can create a pad mounted single phase transformer bank container with two elbows and two line ends in one click.
In addition to pole features using associations, a pole mounted transformer can also be vertically represented. The utility network classes are z-enabled to allow accurate modeling of above and below ground infrastructure. This enables the viewing and editing of network features in their real-world elevation and allows you to take advantage of the many ArcGIS Pro visualization features.
But wait! There’s more! The utility network has a collection of tracing and analysis tools to support a variety of analytic workflows. You can use traces to help determine the number of customers with access to your resource, create a load summary to present the number of customers being fed by a specific circuit, or do an inspection of the entire network after a major weather event.
Tracing functions exposed as a geoprocessing tool perform at a higher rate because of the use of REST endpoints that pass through the analysis service. You can trace network features upstream or downstream from a given location. Analytics can be fired off as SDK (Software Development Kit) or process styled events. This approach translates to a faster performance for analytic capabilities customized to fit specific business drivers. If a water main breaks, you can run a trace across all systems involved to see where the problems are, then decide on the best solution.
In the words of Ron Popeil, “Isn’t that amazing!” I am excited for our partners and user community to use and experience the Utility Network Management extension. The utility network has so much functionality it’s difficult to discuss all of it in one post. In future posts, I will share more about specific areas of functionality in the utility network across electric, gas, water, and telecom use cases. The next blog post will discuss the concept of domain networks in the utility network, opportunities for utilization and even a few thoughts from the development team here in Redlands.
- Remi Myers, Esri Utility Network Product Manager
from ArcGIS Blog http://ift.tt/2Bnh7T1
0 notes
Text
In-Memory Computing Market 2019 Global Recent Trends, Competitive Landscape, Size, Segments, Emerging Technologies and Industry Growth by Forecast to 2026
Market Highlights
The in-memory computing market is substantially influenced due to the increasing pandemic situation of COVID-19 across the world. The COVID-19 pandemic has had a major impact on the global economy. The in-memory computing market is anticipated to grow significantly due to the increasing need for rapid data processing and the explosion of big data across various verticals.
Global In-Memory Computing Market is expected to perceive a decent rise in income in the upcoming period. In this report, Market Research Future (MRFR) includes the segmentation and dynamics of the market to offer a better glimpse of the coming years.
Key Players
The key players of the global in-memory computing market are IBM (US), SAS Institute (US), TIBCO (US), Software AG (Germany), Intel (Germany), Qlik (US), Red Hat (US), Altibase (US), GigaSpaces (US), Teradata (US), Kognitio (UK), Salesforce (US), Workday (US), Enea (Sweden), Microsoft (US), Oracle (US), Hazelcast (US), MongoDB (US), Exasol (Germany), SAP (Germany), Fujitsu (Japan), GridGain (US), VoltDB (US), McObject (US), and MemSQL (US).
Segmentation:
Global In-Memory Computing Market has been segmented based on Component, Application, Deployment Mode, Organization Size, Vertical, and Region.
Based on component, the in-memory computing market has been segmented into solutions and services. The solution segment is further divided into in-memory database (IMDB), in-memory data grid (IMDG), and data stream processing. The IMDB segment held the largest market share of the global in-memory computing market and is also expected to witness the highest CAGR during the forecast period. IMDB keeps the whole dataset in RAM instead of a disk drive to produce quicker response times. The in-memory database (IMDB) segment is further sub-classified into online analytical processing (OLAP) and online transaction processing (OLTP).
Based on application, the in-memory computing market has been segmented into sentiment analysis, geospatial/GIS processing, sales and marketing optimization, predictive analysis, risk management and fraud detection, supply chain management, and others. The risk management and fraud detection segment is expected to account for the highest market share during the forecast period. The highest market share of the risk management and fraud detection segment is accredited to a growing focus on enhancing risk intelligence capabilities to fight risk exposures.
Based on deployment mode, the in-memory computing market has been segmented into cloud and on-premises. The cloud segment is likely to have a larger market share in the in-memory computing market during the forecast period. This is mainly due to the cloud database solution that provides scalability, speed, and flexibility. It enables security, privacy, and anonymization with enterprise reliability
Based on organization size, the in-memory computing market has been segmented into SMEs, large enterprises. The SMEs segment held the larger market share of the global in-memory computing market. Increasing demand for big data and the growing number of SMEs drive the growth of the small and mid-size enterprises segment.
Based on vertical, the in-memory computing market has been segmented into BFSI, IT and telecom, retail and e-commerce, healthcare and life sciences, transportation and logistics, government and defense, energy and utilities, media and entertainment, and others. The BFSI segment accounted for the largest market share of the global in-memory computing market and is also expected to witness the highest CAGR during the study period owing to the increasing usage of mobile and Internet banking.
Regional Analysis
The regional analysis for the in-memory computing has been done for North America, Europe, Asia-Pacific, and the Middle East & Africa, and South America. The market in North America accounted for the largest share in 2019, and it is expected to register strong growth during the forecast period. The market in Asia-Pacific is expected to register the highest CAGR during the forecast period. This growth can be attributed to the increasing adoption of cloud and IoT and increasing use of the web.
Related Reports:
https://www.evernote.com/shard/s652/sh/c66cc8b2-e199-74e7-1c3b-314824e86ec9/7e1f90b71b69c57b576af4efc6d08f95
https://www.evernote.com/shard/s652/sh/bbc27080-20ea-118e-f5f1-3b0f3387ac14/a4de3013cdcbd1092fe6f77a8d92d612
https://www.evernote.com/shard/s652/sh/e9a89064-ed7a-64bf-2e41-cdc3c72f35d9/a63c6579df11f3748016788050091b8b
https://www.evernote.com/shard/s652/sh/51071714-8610-021c-de37-547ac1c21015/974310517b24a7679accf2c59f15abf4
https://www.evernote.com/shard/s652/sh/0eaadc6e-a6c6-9a09-2f1a-8693a4a57468/095aded317d3a2ac103f9d8395688a6d
0 notes
Text
Smart Grid Gains From New Black & Veatch EPC Program Management System
Black & Veatch announced today a new tool aimed at helping utilities deploy large-scale grid modernization projects. The company’s cloud-based Spatial Engineering Knowledge Optimization Immersive Analysis system – SEKOIA – is a central hub for all project management and design-build applications. It provides project teams with real-time views into a project’s status and performance which can be accessed anytime and from most mobile devices, driving more informed decisions about operations and planning.
SEKOIA, powered by Black & Veatch’s data analytics platform, ASSET360TM -- uses a services-oriented architecture. This open system allows SEKOIA to easily apply the latest processes in project management, engineering, procurement and construction (EPC), such as building information modeling (BIM) and geographic information systems (GIS), to create a unique user experience and tool.
With GIS becoming more integral to the design-build process, SEKOIA uses GIS information to build dynamic maps and status sequencing animations where teams can quickly view past, present and future scenarios. For an EPC project, having a single source of truth keeps the project aligned throughout its lifecycle.
“Utilities investing in digital upgrades for the smart grid are faced with the complex issue of adding hundreds, or as many as thousands of assets to their systems,” said Jeff Mehlin, Associate Vice President of Utility Telecom & Automation for Black & Veatch’s Telecommunications business. “Black & Veatch has used its experience in designing and building distributed, multi-site networks to design a tool that simplifies the process. It brings all of our proven design and project management applications together in a single system, so our clients experience better collaboration, accelerated schedules and, overall, a quality execution.”
SEKOIA helps manage, visualize and act on the influx of project data involved with designing and building communication and automation upgrades. It captures, integrates and analyzes data and defined key performance indicators (KPI) such as field data, drawings, schedules, budgets, resources, and quality metrics. Data from multiple applications and devices are imported and visualized via a single, centralized view that offers actionable information to guide day-to-day operations and decision-making.
After a project is finished, SEKOIA maintains a historical account of assets that can seamlessly transition into operations and maintenance, creating a long-term asset management tool, further maximizing return on investment. Any type of project with hundreds, even thousands, of assets distributed across multiple locations can be efficiently managed and deployed using SEKOIA.
Editor’s Notes:
Learn more about SEKOIA by visiting Black & Veatch at DistribuTECH, booth 2625.
Visit http://www.bv.com/SEKOIA for more information.
About Black & Veatch Black & Veatch is an employee-owned, global leader in building critical human infrastructure in Energy, Water, Telecommunications and Government Services. Since 1915, we have helped our clients improve the lives of people in over 100 countries through consulting, engineering, construction, operations and program management. Our revenues in 2015 were US$3 billion. Follow us on www.bv.com and in social media.
Media Contact Information:
CHRISTOPHER CLARK | +1 913-458-2778 P | +1 816-674-0572 M | [email protected]
24-HOUR MEDIA HOTLINE | +1 866-496-9149
source: http://www.csrwire.com/press_releases/39632-Smart-Grid-Gains-From-New-Black-Veatch-EPC-Program-Management-System?tracking_source=rss
0 notes