Phone Data Lines Market Outlook

The global phone data lines market size was estimated at USD 25 billion in 2023 and is projected to reach USD 44 billion by 2032, growing at a CAGR of 6.5% during the forecast period. This robust growth is primarily driven by increasing demand for high-speed internet connectivity, spurred by advancements in digital infrastructure and the proliferation of smart devices. The expansion of broadband services, alongside the burgeoning consumption of data-rich applications, is augmenting the need for efficient data transmission systems. As digital transformation initiatives continue globally, the demand for reliable and high-capacity data lines is expected to escalate, thereby fueling market growth.

One of the primary growth factors in the phone data lines market is the increasing dependency on data-intensive applications that require robust and high-speed internet connectivity. The advent of technologies such as the Internet of Things (IoT), artificial intelligence (AI), and cloud computing has significantly increased the data consumption rates, necessitating the deployment of advanced data lines. Furthermore, the global shift towards remote working models and the rising importance of seamless virtual communication and collaboration tools are driving the demand for resilient and high-capacity data lines. These trends are particularly pronounced in sectors such as IT and telecommunications, healthcare, and government services, where data integrity and speed are paramount.

Another crucial factor contributing to the market's growth is the continuous innovations in telecommunication technologies, notably the transition from traditional copper-based DSL lines to fiber optic and wireless data transmission systems. The superior bandwidth capabilities and reliability of fiber optic technology make it a preferred choice for both residential and commercial applications. Additionally, the expanding coverage and improvements in wireless technology, including the rollout of 5G networks, are further accelerating the adoption of wireless data lines. These technological advancements are enabling service providers to offer better quality services, thereby enhancing customer satisfaction and driving market expansion.

Furthermore, government initiatives aimed at enhancing digital infrastructure play a significant role in propelling the market. Numerous countries are investing heavily in expanding their broadband networks to rural and underserved areas, which is expected to significantly increase the penetration of phone data lines. Policies that encourage the deployment of new telecommunication technologies and support the development of smart cities are providing substantial impetus to market growth. Additionally, strategic partnerships and collaborations between public and private sectors are facilitating the rapid development and deployment of data lines, further supporting market growth.

The integration of a Digital Line Protection System is becoming increasingly crucial as the demand for secure and reliable data transmission grows. This system is designed to safeguard data lines from potential disruptions and cyber threats, ensuring uninterrupted service and data integrity. As more sectors rely on digital communication for critical operations, the importance of robust protection mechanisms cannot be overstated. The Digital Line Protection System offers advanced security features that detect and mitigate potential vulnerabilities, providing peace of mind to service providers and end-users alike. This technology is particularly vital in sectors such as finance, healthcare, and government, where data breaches can have significant consequences. By incorporating these systems, companies can enhance their resilience against cyberattacks and maintain high standards of service reliability.

Regionally, the Asia Pacific region is expected to experience the most significant growth in the phone data lines market, driven by its large population base, rapid urbanization, and increasing adoption of digital services. North America and Europe are already mature markets, with a high penetration of advanced data line technologies, but they continue to grow due to ongoing technological innovations and upgrades. Latin America and the Middle East & Africa are witnessing gradual growth, propelled by improving telecommunication infrastructures and increasing governmental support for digitalization initiatives. Overall, these regional trends are contributing to the dynamic landscape of the phone data lines market.

This dataset provides estimated hourly dynamic line ratings for ~84,000 transmission lines across the contiguous United States from 2007-2013. The calculation methods are described in the presentation linked below, and the associated open-source Python code repository is linked in the Resources section below.

Abbreviations used in filenames and descriptions are: - SLR: static line ratings - ALR: ambient-temperature-adjusted line ratings - NLR: ambient-temperature- and day/night-irradiance-adjusted line ratings - CLR: ambient-temperature- and clear-sky-irradiance-adjusted line ratings - ILR: ambient-temperature- and measured-irradiance-adjusted line ratings - DLR: full dynamic line ratings (including air temperature/pressure, wind speed/direction, and measured irradiance)

Transmission lines are referenced by their ID in the Homeland Infrastructure Foundation-Level Data (HIFLD) on Transmission Lines (linked in Resources section). Time indices are in UTC. The data files contain ratios between modeled hourly ratings and modeled static ratings. Columns are indexed by HIFLD ID; rows are indexed by hourly timestamps from 2007-2013 (UTC). A data directory is also included in the Resources section.

The SLR files contain modeled static ratings (the denominator of the ratios in the files described above) in amps. As described in the presentation linked in the Resources section below, SLR calculations assume an ambient air temperature of 40 C, air pressure of 101 kPa, wind speed of 2 feet per second (0.61 m/s) perpendicular to the conductor, global horizontal irradiance of 1000 W/m^2, and conductor absorptivity and emissivity of 0.8. Conductor assumptions are Linnet for ~69 kV and below, Condor for ~115 kV, Martin for ~230 kV, and Cardinal for ~345 kV and above.

Caveats and Limitations

Results are sensitive to the weather data used. Validation studies on the WIND Toolkit and NSRDB are available at: - King, J. et al. "Validation of Power Output for the WIND Toolkit", 2014 (https://www.nrel.gov/docs/fy14osti/61714.pdf) - Draxl, C. et al. "Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit", 2015 (https://www.nrel.gov/docs/fy15osti/61740.pdf) - Sengupta, M. et al. "Validation of the National Solar Radiation Database (NSRDB) (2005-2012)", 2015 (https://www.nrel.gov/docs/fy15osti/64981.pdf) - Habte, A. et al. "Evaluation of the National Solar Radiation Database (NSRDB Version 2): 1998-2015", 2017 (https://www.nrel.gov/docs/fy17osti/67722.pdf)

More work is required to determine how well ratings calculated from NSRDB and WIND Toolkit data reflect the actual ratings observed by installed sensors (such as sag or tension monitors). In general, ratings calculated from modeled weather data are not a substitute for direct sensor data.

Assuming a single representative conductor type (ACSR of a single diameter) for each voltage level is an important simplification; reported line ratings at a given voltage level can vary widely.

HIFLD line routes are primarily based on imagery instead of exact construction data and may have errors.

We use historical weather data directly; calculated line ratings are thus more indicative of real-time ratings than forecasted ratings

The project “Interconnectors and Power Transmission Lines” was realised within the framework of the SWP Research Paper “Geopolitik des Stroms – Netz, Raum und Macht” (SWP-Studie 2021/S 14, 07.09.2021) and had the objective of identifying and visualising all interconnecting power lines in Europe, Africa and Asia regardless of their primary source of energy that are of relevance on the transmission grid level. As of 2020, no comprehensive data or database on transmission lines and interconnectors were available. Hence, this dataset contributes to filling this gap. It comprises merged and harmonised data from three different sources, namely from the OpenStreetMap (OSM, https://www.openstreetmap.org), the Open Infrastructure Map (OIM, https://openinframap.org), and the World Bank (WB, https://energydata.info), complemented by further research, including the updating and adding of information.

The North American Rail Network (NARN) Rail Lines dataset was created in 2016 and was updated on April 09, 2025 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The NARN Rail Lines dataset is a database that provides ownership, trackage rights, type, passenger, STRACNET, and geographic reference for North America's railway system at 1:24,000 or better within the United States. The data set covers all 50 States, the District of Columbia, Mexico, and Canada. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1528950

An in-depth description of the Hydrology Lines GIS dataset outlining terms of use, update frequency, attribute explanations, and more.

Note: Sample data provided. ・ This feature class/shapefile represents electric power transmission lines. Transmission Lines are the system of structures, wires, insulators and associated hardware that carry electric energy from one point to another in an electric power system. Lines are operated at relatively high voltages varying from 69 kV up to 765 kV, and are capable of transmitting large quantities of electricity over long distances. Underground transmission lines are included where sources were available. The following updates have been made since the previous release: 1,166 features added.

The Atlas of Canada National Scale Data 1:5,000,000 Series consists of boundary, coast, island, place name, railway, river, road, road ferry and waterbody data sets that were compiled to be used for atlas medium scale (1:5,000,000 to 1:15,000,000) mapping. These data sets have been integrated so that their relative positions are cartographically correct. Any data outside of Canada included in the data sets is strictly to complete the context of the data.

*** 7/19/22: This dataset and its accompanying map are no longer available since they are inaccurate and outdated. The Minnesota Department of Commerce is no longer maintaining or fielding requests related to this data as it has been unable to consistently obtain accurate, up-to-date information on high voltage transmission lines and substation locations from transmission owners in the state.***

For alternative sources for transmission line and substation information, see the transmission lines and substations section of MnGeo's information webpage on utilities: https://www.mngeo.state.mn.us/chouse/utilities.html#transmission

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Information describing the previously available dataset is provided in the rest of this metadata record for reference.
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The electric transmission network information consisted of transmission lines, with associated substations, designed to handle 60 Kilovolts or greater.

The Minnesota Electric Transmission Mapping Project developed two geographic information system datasets: transmission lines and substations. This metadata record describes both datasets.

In 2002, each electric utility company was mailed a request for their facility information which could be provided in either digital or paper form. The responses varied significantly in quality and quantity. In addition, the companies expressed concerns about providing the information because of security concerns. Data users were strongly encouraged to read the data quality section of this documentation.

Datasets were published in 2003, 2007, 2014, 2016, and 2021. In 2016 a few changes were made to improve the positional accuracy of lines and substations. The dataset was last updated in July 2021.

The Minnesota Electric Transmission Mapping Project was a collaborative effort between the Minnesota Department of Commerce and the Minnesota Geospatial Information Office.

The Department of Environmental Protection (DEP) is offering the following data to provide residents and property owners with information regarding their water service lines.

This feature layer, utilizing data from Homeland Infrastructure Foundation-Level Data (HIFLD), depicts electric power transmission lines in the United States. The process of delivering electricity starts at the power plants that generate electricity that is delivered to customers through transmission lines. High Voltage transmission lines, such as those that hang between tall metal towers, carry electricity over long distances to meet customer needs. Higher voltage electricity is more efficient and less expensive for long distance electricity transmission. Transformers at substations increase (step up) or reduce (step down) voltages to adjust to the different stages of the journey from the power plant on long-distance transmission lines to distribution lines that carry electricity to homes and businesses. Transmission lines are operated at relatively high voltages varying from 69 Kilovolts up to 765 Kilovolts.138 Kilovolt Transmission LineData download location and currency: Electric Power Transmission Lines > OverviewData modification(s): noneFor more information: Electricity ExplainedFor feedback please contact: ArcGIScomNationalMaps@esri.comThumbnail image courtesy of: Oran ViriyincyOther Federal User Community federally focused content that may interest youU.S. Independent Establishments and Gov't Corps

DescriptionThis layer includes all known historic streetcar lines in the state of Colorado. Locations of streetcar lines in Colorado were identified from historic research and were not field verified. The following method was used to approximate the locations of historic streetcar resources: • Data was generated from digitized hard copy maps, tabular data, or historical descriptions. • For lines that ran along city streets, existing street centerlines were used as representation unless the lines were recently field verified (and documented in past studies), in which case the field verified locations were used. • For interurban or other lines that did not run along city streets, an approximate representation was digitized using the best available information gathered as part of the research.Last Update2023Update FrequencyAs neededData OwnerDivision of Transportation DevelopmentData ContactGIS Support UnitCollection MethodProjectionNAD83 / UTM zone 13NCoverage AreaStatewideTemporalDisclaimer/LimitationsThere are no restrictions and legal prerequisites for using the data set. The State of Colorado assumes no liability relating to the completeness, correctness, or fitness for use of this data.

Fixed telephone subscriptions (per 100 people) in Austria was reported at 39.5 per 100 people in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Austria - Telephone lines (per 100 people) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Connecticut and Vicinity State Boundary data are intended for geographic display of state boundaries at statewide and regional levels. Use it to map and label states on a map. These data are derived from Northeastern United States Political Boundary Master layer. This information should be displayed and analyzed at scales appropriate for 1:24,000-scale data. The State of Connecticut, Department of Environmental Protection (CTDEP) assembled this regional data layer using data from other states in order to create a single, seamless representation of political boundaries within the vicinity of Connecticut that could be easily incorporated into mapping applications as background information. More accurate and up-to-date information may be available from individual State government Geographic Information System (GIS) offices. Not intended for maps printed at map scales greater or more detailed than 1:24,000 scale (1 inch = 2,000 feet.)

Rail lines (total route-km) in Norway was reported at 3885 total route-km in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Norway - Rail lines (total route-km) - actual values, historical data, forecasts and projections were sourced from the World Bank on May of 2025.

(Link to Metadata) VHDCARTO is a simplified version of the local resolution Vermont Hydrography Dataset (VHD) that has been enriched with stream perenniality, e.g., "intermittent" vs. "perennial", as well as, Strahler stream order attribution for the single linear feature class only. The primary means of accessing this information cartographically is via the FCODE and STREAM_ORDER fields, respectively. See the Entity and Attribution Information section for details. NOTE! Perenniality data does not exist for stream reaches contained within, or intersected by, Essex or Caledonia counties, thus the FCODE "46000" in these areas. The absence of Soil SUrvey GeOgraphic (SSURGO) database information in these areas precluded the computation of perenniality. These areas will be processed at some future date. For information on the FCODE symbol for attribution or analysis see the following document https://www.usgs.gov/national-hydrography/national-hydrography-dataset (NHDFlowline). A two dimensional feature class for lakes, ponds and larger streams is also included in VHDCARTO. Both layers are derived from the latest National Hydrography Dataset (NHD) data. The NHD is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. For information on the science behind computing perenniality attribution please refer to the following U.S. Geological Survey Scientific Investigative Report (SIR) # 2006-5217 - https://pubs.usgs.gov/sir/2006/5217/pdf/SIR2006-5217_report.pdf

Dataset for the Letter "Variable Optical True Time Delay Line Breaking Bandwidth-Delay Constraints", in Optics Letters

Overview

The Office of the Geographer and Global Issues at the U.S. Department of State produces the Large Scale International Boundaries (LSIB) dataset. The current edition is version 11.4 (published 24 February 2025). The 11.4 release contains updated boundary lines and data refinements designed to extend the functionality of the dataset. These data and generalized derivatives are the only international boundary lines approved for U.S. Government use. The contents of this dataset reflect U.S. Government policy on international boundary alignment, political recognition, and dispute status. They do not necessarily reflect de facto limits of control.

National Geospatial Data Asset

This dataset is a National Geospatial Data Asset (NGDAID 194) managed by the Department of State. It is a part of the International Boundaries Theme created by the Federal Geographic Data Committee.

Dataset Source Details

Sources for these data include treaties, relevant maps, and data from boundary commissions, as well as national mapping agencies. Where available and applicable, the dataset incorporates information from courts, tribunals, and international arbitrations. The research and recovery process includes analysis of satellite imagery and elevation data. Due to the limitations of source materials and processing techniques, most lines are within 100 meters of their true position on the ground.

Cartographic Visualization

The LSIB is a geospatial dataset that, when used for cartographic purposes, requires additional styling. The LSIB download package contains example style files for commonly used software applications. The attribute table also contains embedded information to guide the cartographic representation. Additional discussion of these considerations can be found in the Use of Core Attributes in Cartographic Visualization section below.

Additional cartographic information pertaining to the depiction and description of international boundaries or areas of special sovereignty can be found in Guidance Bulletins published by the Office of the Geographer and Global Issues: https://data.geodata.state.gov/guidance/index.html

Contact

Direct inquiries to internationalboundaries@state.gov. Direct download: https://data.geodata.state.gov/LSIB.zip

Attribute Structure

The dataset uses the following attributes divided into two categories: ATTRIBUTE NAME | ATTRIBUTE STATUS CC1 | Core CC1_GENC3 | Extension CC1_WPID | Extension COUNTRY1 | Core CC2 | Core CC2_GENC3 | Extension CC2_WPID | Extension COUNTRY2 | Core RANK | Core LABEL | Core STATUS | Core NOTES | Core LSIB_ID | Extension ANTECIDS | Extension PREVIDS | Extension PARENTID | Extension PARENTSEG | Extension

These attributes have external data sources that update separately from the LSIB: ATTRIBUTE NAME | ATTRIBUTE STATUS CC1 | GENC CC1_GENC3 | GENC CC1_WPID | World Polygons COUNTRY1 | DoS Lists CC2 | GENC CC2_GENC3 | GENC CC2_WPID | World Polygons COUNTRY2 | DoS Lists LSIB_ID | BASE ANTECIDS | BASE PREVIDS | BASE PARENTID | BASE PARENTSEG | BASE

The core attributes listed above describe the boundary lines contained within the LSIB dataset. Removal of core attributes from the dataset will change the meaning of the lines. An attribute status of “Extension” represents a field containing data interoperability information. Other attributes not listed above include “FID”, “Shape_length” and “Shape.” These are components of the shapefile format and do not form an intrinsic part of the LSIB.

Core Attributes

The eight core attributes listed above contain unique information which, when combined with the line geometry, comprise the LSIB dataset. These Core Attributes are further divided into Country Code and Name Fields and Descriptive Fields.

County Code and Country Name Fields

“CC1” and “CC2” fields are machine readable fields that contain political entity codes. These are two-character codes derived from the Geopolitical Entities, Names, and Codes Standard (GENC), Edition 3 Update 18. “CC1_GENC3” and “CC2_GENC3” fields contain the corresponding three-character GENC codes and are extension attributes discussed below. The codes “Q2” or “QX2” denote a line in the LSIB representing a boundary associated with areas not contained within the GENC standard.

The “COUNTRY1” and “COUNTRY2” fields contain the names of corresponding political entities. These fields contain names approved by the U.S. Board on Geographic Names (BGN) as incorporated in the ‘"Independent States in the World" and "Dependencies and Areas of Special Sovereignty" lists maintained by the Department of State. To ensure maximum compatibility, names are presented without diacritics and certain names are rendered using common cartographic abbreviations. Names for lines associated with the code "Q2" are descriptive and not necessarily BGN-approved. Names rendered in all CAPITAL LETTERS denote independent states. Names rendered in normal text represent dependencies, areas of special sovereignty, or are otherwise presented for the convenience of the user.

Descriptive Fields

The following text fields are a part of the core attributes of the LSIB dataset and do not update from external sources. They provide additional information about each of the lines and are as follows: ATTRIBUTE NAME | CONTAINS NULLS RANK | No STATUS | No LABEL | Yes NOTES | Yes

Neither the "RANK" nor "STATUS" fields contain null values; the "LABEL" and "NOTES" fields do. The "RANK" field is a numeric expression of the "STATUS" field. Combined with the line geometry, these fields encode the views of the United States Government on the political status of the boundary line.

ATTRIBUTE NAME | | VALUE | RANK | 1 | 2 | 3 STATUS | International Boundary | Other Line of International Separation | Special Line

A value of “1” in the “RANK” field corresponds to an "International Boundary" value in the “STATUS” field. Values of ”2” and “3” correspond to “Other Line of International Separation” and “Special Line,” respectively.

The “LABEL” field contains required text to describe the line segment on all finished cartographic products, including but not limited to print and interactive maps.

The “NOTES” field contains an explanation of special circumstances modifying the lines. This information can pertain to the origins of the boundary lines, limitations regarding the purpose of the lines, or the original source of the line.

Use of Core Attributes in Cartographic Visualization

Several of the Core Attributes provide information required for the proper cartographic representation of the LSIB dataset. The cartographic usage of the LSIB requires a visual differentiation between the three categories of boundary lines. Specifically, this differentiation must be between:

• International Boundaries (Rank 1);
• Other Lines of International Separation (Rank 2); and
• Special Lines (Rank 3).

Rank 1 lines must be the most visually prominent. Rank 2 lines must be less visually prominent than Rank 1 lines. Rank 3 lines must be shown in a manner visually subordinate to Ranks 1 and 2. Where scale permits, Rank 2 and 3 lines must be labeled in accordance with the “Label” field. Data marked with a Rank 2 or 3 designation does not necessarily correspond to a disputed boundary. Please consult the style files in the download package for examples of this depiction.

The requirement to incorporate the contents of the "LABEL" field on cartographic products is scale dependent. If a label is legible at the scale of a given static product, a proper use of this dataset would encourage the application of that label. Using the contents of the "COUNTRY1" and "COUNTRY2" fields in the generation of a line segment label is not required. The "STATUS" field contains the preferred description for the three LSIB line types when they are incorporated into a map legend but is otherwise not to be used for labeling.

Use of