Dataset used for research:

LiDAR-based method for analysing landmark visibility to pedestrians in cities: case study in Kraków, PolandAuthors: Krystian Pyka, Radosław Piskorski, Aleksandra Jasińska Paper accepted for publication in the International Journal of Geographical Information Science.

This indicator is no longer maintained, and is considered OBSOLETE.

INDICATOR DEFINITION This indicator attempts to measure the effect of human activity on the wilderness values of Antarctica and how the area, which may be considered as wilderness, changes in response to human activities.

RATIONALE FOR INDICATOR SELECTION This indicator measures the changes in wilderness directly through well-defined parameters which are therefore capable of measurement using existing datasets and standard geographical information system (GIS) algorithms.

It is proposed at the outset that all of Antarctica can be considered as wilderness unless it has been modified by human activity, specifically human activity in Antarctica. Global effects of human activity, such as ozone depletion and greenhouse enhancement have been ignored on the basis that they are not unique to Antarctica. It is further proposed that the way that human activities in Antarctica modify Antarctica, and therefore detract from its wilderness values are through sight and sound of these activities, especially the visibility of permanent structures and the audibility of activities. It is possible to map the areas from which structures are visible and the areas from which activities can be heard. In practice, however, it is has been found that areas from which structures are visible generally include those areas from which sounds can be heard. By mapping the structures and their visibility &footprint& it is possible to track the area of wilderness modified from one reporting period to the next.

DESIGN AND STRATEGY FOR INDICATOR MONITORING PROGRAM The plan is to assemble data on the location and dimensions of structures at the beginning of each reporting period. A visibility analysis would then be carried out using a digital elevation model (DEM). There are a number of issues which need to be considered such as the acquisition of improved elevation data from which the DEM is constructed and the effect this would have on the analysis and if new algorithms were released by the software vendor. The effects of these would have to be considered in the interpretation. It is considered unlikely that either of these would have a profound effect.

The visibility footprint is calculated from a visibility analysis of all human structures in the Windmill Islands, principally Casey Station but also including the remnants of Wilkes Station, six field huts, route markers and other features. The analysis was carried out using the VISIBILITY process in the ESRI ArcInfo GRID extension. The inputs into the analysis were a GIS data layer (ArcInfo coverage) of 239 points defining the locations and heights of human structures and a digital elevation model (DEM) of the Windmill Islands area. The attached file lists all the features in the human structures data layer grouped into feature types. Points defining the corners of the buildings in the station area were used rather than lines delineating the faces of the buildings as the VISIBILITY process uses the vertices in lines - which in a building are essentially the four corners anyway. Each structure point has a height value ascribed to it. The VISIBILITY process uses a number of parameters to define the extent and limit of visibility, these include the height of the structure, the distance it is visible and the height of the observer. For the purposes of this analysis a uniform value of 1.75 m was used as the observer height. The distance the structure may be visible from will vary according to the feature type. For example, buildings and large radio masts are visible to a range of about 20 km, depending on the weather, whereas route markers may only be visibile to a range of 3 km. To a certain extent this is somewhat arbitrary as binoculars can extend the visibility range considerably but experience in the field has shown these ranges to be about right for average conditions. Consistency is at least as important as precision in this context. The VISIBILITY process corrects for the curvature of the earth and the refraction of light. The DEM was constructed using the TOPOGRID routine in ArcInfo which creates hydrologically correct DEMs and is based on the ANUDEM package developed at the Australian National University. The DEM was constructed from contour data, constrained with a polygon boundary and lakes acquired from an aerial survey conducted by the Australian Antarctic Division 1993-4 with some additional contours added on the lower slopes of Law Dome. The cell size of the DEM is 10 m. A visibility analysis was conducted in 1998 as part of a pilot project on wilderness and aesthetic values of Antarctica. Although some some radio masts were removed and a wind generator erected during the intervening period, a comparison between the two analyses reveals little change. The difference between the two values is consistent with these changes.

A visibility analysis was conducted in 1998 as part of a pilot project on wilderness and aesthetcic values of Antarctica. Although some some radio masts were removed and a wind generator erected during the intervening period, a comparison between the two analyses reveals little change. The difference between the two values is consistent with these changes.

Station Leaders are instructed to notify the Technical Contact for this Indicator if any of the following types of structure are erected, removed, moved or modified on station or in the local area of the station.

-buildings -tanks (fuel, water) and bunding -masts, mast anchor points, poles -anemometer masts -memorial crosses -route markers -depots, if they are marked -wind power generators -abandoned stations/buildings/aircraft and all their associated infrastructure eg radio masts -refuges in the local area of the station -radio masts at each refuge -radio repeaters -automatic weather stations in the local area of the station -navigation beacons -hydrographic survey beacons -any other man-made features in the local area of the station

When such changes occur, Station Leaders are asked for the approximate dimensions of new structures or modifications, and these structures are marked for surveying at the next available opportunity.

RESEARCH ISSUES This topic is the subject of a PhD currently being carried out by Rupert Summerson at the University of Melbourne. Current research needs are as follows:

• Distribution of questionnaires, disposable cameras and other material to ANARE expeditioners;

• Assistance with motivation of expeditioners to participate in this research;

• Access to data on human infrastructure, both ANARE and other nations;

• Access to topographic data, both ANARE and other nations eg RAMP;

• Support to engage with other Antarctic nations and the Antarctic tourism industry.

Total data received from this study to date: Date,Latitude,Longitude,Place,Parameter,Value,Unit of Measure 1998,66 16.9' S,110 31.7' E,Casey,Visibility footprint,597.482,sq km

This is a spreadsheet that lists the functions available from the iPhone home screen(s) and rates them if they are graphically visible to the user at the top level. This information is used to calculate a percentage visibility score.

The Online Product Visibility Analysis market has emerged as a crucial component of digital marketing strategies, particularly in an era where e-commerce continues to flourish. This market is primarily concerned with the assessment of how products are represented and discovered on various online platforms. Companies

This project aimed to conduct a 3D visibility analysis of the Pinakes at the Heraion of Olympia, using the open-source software Blender and QGIS. The project builds on previous work by other researchers on the pinakes at the site, and aims to use the 3D model to better understand the visibility of the pinakes from different viewpoints near the temple. The results were visualized using raster maps for the better understanding of the function of the Pinakes in the context of the Heraion.

Geoprocessing service Esri ArcGIS Server - Line Of Sight DMP 1G is a public service intended for visibility analysis execution using the dataset Digital Surface Model of the Czech Republic of the 1st generation (DMP 1G). The geoprocessing service enables to find out, which parts of surface along given line leading from observation to target point are visible. When using the service it is necessary to choose the observation location, choose the target location and specify offset above the surface. The result of the analysis is line of sight (line of visibility) with visible and invisible parts leading on the surface. The geoprocessing service LineOfSight_DMP 1G is distinctly faster in contrast with geoprocessing service Visibility_DMP 1G. The service can be used with advantage for visibility analysis for longer distances.

The geoprocessing service is published as asynchronous. The result can be downloaded from server and saved to a local disc as shapefile using URL, which is generated and sent by the geoprocessing service. URL for the result downloaded throught a web client is published in running service record, that is sent from server to the client.

The dataset represents a collection of total viewsheds (cf. Llobera et al. 2010) created for the territory of Bohemia (Czech Republic; ca. 57,000 km2). The total-viewshed calculation was based on the R2 algorithm (see Franklin and Ray 1994) and uses the viewshed function from MATLAB’s Mapping Toolbox that was significantly optimized by the authors for large-scale parallel computations. To reduce the computational time, we calculated single viewsheds using every fourth cell as the observing point (cf. Rášová 2017).

The Digital Terrain Model of the Czech Republic of the 5th Generation (DMR 5G) was used as input for the calculations. Prior to the calculation, the input DEM was cleared of modern landscape elements (e.g. embankments of railways and roads, quarries, etc.; for details see Novák – Pružinec 2022). Eight total visibility models of the territory of Bohemia were constructed using the IT4Innovations research infrastructure (https://www.it4i.cz/). Both the observer and the target heights were set at 1.5 m. The viewsheds differ in two parameters: the visibility radius and the resolution of the input grid. As the basic radius, we have set 0.5 km and the cell size of 5 m; further layers are conceived as multiples of these parameters: 1 km/10 m, 2 km/20 m, 4 km/40 m, 8 km/80 m, 16 km/160 m and 32 km/320 m. The only exception is the model with a radius of 64 km, where we preserved the cell size of the preceding iteration (320 m). In the individual models, the visibility values are indicated in percentages corresponding to the portion of visible cells in the given radius (0–100%; rounded up to the next complete value).

Filenames of individual rasters correspond to the parameters set above. For further details see:

Kuna, M. – Novák, D. – Bucha Rašová, A. – Bucha, B. – Machová, B. – Havlice, J. – John, J. – Chvojka, O. 2022: Computing and testing extensive total viewsheds: a case of prehistoric burial mounds in Bohemia. Journal of Archaeological Science 142, 105596. https://doi.org/10.1016/j.jas.2022.105596

Novák, D. – Pružinec, F. 2022: Potential and Implications of Automated Pre-Processing of Lidar-Based Digital Elevation Models for Large-Scale Archaeological Landscape Analysis. Available at SSRN: http://dx.doi.org/10.2139/ssrn.4063514

Geoprocessing service Esri ArcGIS Server - Visibility_DMR 5G is a public service intended for visibility analysis execution using the dataset Digital Terrain Model of the Czech Republic of the 5th generation (DMR 5G). Geoprocessing service enables to find out, which area is visible from chosen observer location to defined distance. When using the service is necessary to choose the observer location, pecify oberver offset above the terrain and define the distance, in which the visibility analysis is demanded. The result of the analysis is visibility field (area) represented by polygons, which delimit visible parts of the terrain.

The geoprocessing service is published as asynchronous. The result is passed on client throught Result Map Service Visibility_DMR 5G (MapService). The result can be downloaded from server and saved to a local disc as shapefile using URL, which is generated and sended by the geoprocessing service. URL for the result download throught a web client is published in running service record, that is sent from server to the client.

The endpoint visibility market is projected to reach USD 4.13 billion by 2033, growing at a CAGR of 11.91% during the forecast period. Increasing cyber threats, the growing adoption of cloud-based services, and the need for real-time visibility into endpoint activities are some of the factors driving the growth of the market. The market is expected to witness significant growth in the coming years due to the increasing adoption of endpoint visibility solutions by enterprises of all sizes. The market is segmented based on deployment model, organization size, industry vertical, and visibility scope. Based on the deployment model, the market is segmented into cloud-based, on-premise, and hybrid. Based on the organization size, the market is segmented into small and medium-sized enterprises (SMEs) and large enterprises. Based on the industry vertical, the market is segmented into healthcare, IT and telecom, manufacturing, financial services, retail, and others. Based on the visibility scope, the market is segmented into network endpoint visibility, endpoint device visibility, agent-based endpoint visibility, and agentless endpoint visibility. Key drivers for this market are: Increased enterprise endpoints, growing cyber threats; cloud migration; advanced endpoint threats rising regulatory compliance. . Potential restraints include: Hybrid cloud services rising cyberattacks IoT adoption BYOD adoption cloud-based WFH .

Geoprocessing service Esri ArcGIS Server - Visibility_DMR 4G is a public service intended for visibility analysis execution using the dataset Digital Terrain Model of the Czech Republic of the 4th generation (DMR 4G). Geoprocessing service enables to find out, which area is visible from chosen observer location to defined distance. When using the service is necessary to choose the observer location, specify oberver offset above the terrain and define the distance, in which the visibility analysis is demanded. The result of the analysis is visibility field (area) represented by polygons, which delimit visible parts of the terrain.

The geoprocessing service is published as asynchronous. The result is passed on client throught Result Map Service Visibility_DMR 4G (MapService). The result can be downloaded from server and saved to a local disc as shapefile using URL, which is generated and sended by the geoprocessing service. URL for the result download throught a web client is published in running service record, that is sent from server to the client.

The global high visibility rain suit market is anticipated to reach a value of XXXX million by 2033, expanding at a CAGR of XX% during the forecast period (2023-2033). The increasing emphasis on worker safety in various industries, such as construction, mining, and transportation, is a major driver of the market's growth. Moreover, rising awareness about the importance of visibility during adverse weather conditions is further fueling demand for high visibility rain suits. The market is segmented by application into industrial, traffic, construction, and others. The industrial segment accounts for a significant share of the market due to the high demand for protective gear in workplaces where visibility is crucial. By type, the market is divided into polyester fiber, PVC, and others. Polyester fiber rain suits are expected to hold a dominant position in the market due to their lightweight, water-resistant nature, and durability. The market is geographically segmented into North America, South America, Europe, the Middle East and Africa, and Asia Pacific. North America is a major market for high visibility rain suits due to strict safety regulations and the presence of established end-user industries. The Asia Pacific region is projected to witness significant growth in the coming years, driven by the rapid industrialization and infrastructure development in emerging economies like China and India.

Global Network Visibility Tool comes with the extensive industry analysis of development components, patterns, flows and sizes. The report also calculates present and past market values to forecast potential market management through the forecast period between 2024 - 2032. The report may be the best of what is a geographic area which expands the competitive landscape and industry perspective of the market.

Market Analysis for High Visibility Cap The global high visibility cap market is projected to reach a value of approximately XX million units by 2033, growing at a CAGR of XX% from 2025 to 2033. The increasing demand for safety measures in industries such as road construction and utilities is a major driver of market growth. Moreover, the rising awareness about workplace safety regulations has further boosted the adoption of high visibility caps. Segmentation-wise, the market is divided by application into road construction and utilities, and by type into polyester, modacrylic, and cotton. Key players in the market include Honeywell, Lakeland, and GSS Safety, among others. The Asia Pacific region is expected to witness the highest growth, owing to the increasing industrialization and urbanization in the region. North America and Europe are other major markets for high visibility caps.

Market Analysis: Supply Chain Visibility Software The global supply chain visibility software market is projected to reach a value of 1,021.2 million by 2033, expanding at a CAGR of 8.8% from 2025 to 2033. The increasing need for efficient management of complex supply chains, coupled with the rising adoption of cloud-based solutions, is driving market growth. Additionally, the demand for real-time visibility and collaboration across different stakeholders in the supply chain is fueling market expansion. Key players in the market include SAP, Oracle, IBM, and Infor Nexus. Market Segmentation and Trends The supply chain visibility software market is segmented based on type (cloud-based and web-based) and application (large enterprises and SMEs). Cloud-based solutions dominate the market due to their scalability, flexibility, and cost-effectiveness. Large enterprises are expected to hold a significant market share, driven by the need for advanced supply chain management capabilities. Emerging trends in the market include the adoption of artificial intelligence (AI) and machine learning (ML) for supply chain optimization, the integration of IoT devices for real-time data collection, and the rise of blockchain technology for secure and transparent supply chain operations. Supply chain visibility software provides real-time insights into the movement and status of goods throughout the supply chain, allowing businesses to improve efficiency, reduce costs, and enhance customer satisfaction.

English description below. Datová sada obsahuje body vyhlídkových bodů, která byla vstupem pro analýzu viditelnosti provedenou v bakalářské práci Denisy Konvalinové na Mendelově univerzitě. V práci bylo mimo jiné zhodnoceno - atribut "kulturni_dominanty" - kolik bodů z datové sady "Stavební dominanty / Building landmarks" může pozorovatel z jednotlivých vyhlídkových bodů vidět. Analýza byla provedena v programu QGIS pomocí pluginu LoS Tools na podkladu digitálního modelu povrchu (aktuální verze je dostupná zde). Souřadnicový systém: GCS WGS84 (EPSG 4326).Vysvětlení atributu "typ_mista" - "Mista_pohledu": pohledy na vedutu města, především na městské historické jádro s jeho nejvýznamnějšími dominantami; "Potencionalni_mista": místo, které by do budoucna mohlo být místem pohledu na vedutu města, pokud by se provedly úpravy vegetace nebo by se zlepšila jeho přístupnost veřejnosti; "Vyhlidkove_body": není z nich pozorovatelná celá veduta města, ale pouze dílčí, přesto významné výhledy do krajiny či části města.Dataset contains points of viewpoints in the city of Brno which served as an input for visibility analysis conducted in bachelor thesis (Denisa Konvalinová, Mendel University in Brno). Thesis evaluated how many building landmarks (dataset Stavební dominanty / Building landmarks) can be seen from analysed viewpoints. Analysis was made using QGIS software, plugin LoS Tools and digital surface model (most recent version available here).Coordinate system: GCS WGS84 (EPSG 4326). Attributes:typ_mista - typology of viewpointsnazev_mista - name of the viewpointvyska_pozorovatele - height of the viewerkulturni_dominanty - count of visible building landmarksnadmorska_vyska - altitude

The Supply Chain Visibility (SCV) Software market has become a critical component of modern logistics and supply chain management, providing businesses with real-time insights into their operations. With the increasing complexity of supply chains due to globalization and technological advancements, organizations are

English description below. Datová sada obsahuje body vyhlídkových bodů, která byla vstupem pro analýzu viditelnosti provedenou v bakalářské práci Denisy Konvalinové na Mendelově univerzitě. V práci bylo mimo jiné zhodnoceno - atribut "kulturni_dominanty" - kolik bodů z datové sady "Stavební dominanty / Building landmarks" může pozorovatel z jednotlivých vyhlídkových bodů vidět. Analýza byla provedena v programu QGIS pomocí pluginu LoS Tools na podkladu digitálního modelu povrchu (aktuální verze je dostupná zde). Souřadnicový systém: GCS WGS84 (EPSG 4326).Vysvětlení atributu "typ_mista" - "Mista_pohledu": pohledy na vedutu města, především na městské historické jádro s jeho nejvýznamnějšími dominantami; "Potencionalni_mista": místo, které by do budoucna mohlo být místem pohledu na vedutu města, pokud by se provedly úpravy vegetace nebo by se zlepšila jeho přístupnost veřejnosti; "Vyhlidkove_body": není z nich pozorovatelná celá veduta města, ale pouze dílčí, přesto významné výhledy do krajiny či části města.Dataset contains points of viewpoints in the city of Brno which served as an input for visibility analysis conducted in bachelor thesis (Denisa Konvalinová, Mendel University in Brno). Thesis evaluated how many building landmarks (dataset Stavební dominanty / Building landmarks) can be seen from analysed viewpoints. Analysis was made using QGIS software, plugin LoS Tools and digital surface model (most recent version available here).Coordinate system: GCS WGS84 (EPSG 4326). Attributes:typ_mista - typology of viewpointsnazev_mista - name of the viewpointvyska_pozorovatele - height of the viewerkulturni_dominanty - count of visible building landmarksnadmorska_vyska - altitude

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High-Visibility Clothing Market Size 2024-2028

The high-visibility clothing market size is forecast to increase by USD 271.3 million at a CAGR of 3.27% between 2023 and 2028. The market is witnessing significant growth due to the increasing demand from various industries, including manufacturing, construction, emergency response, and forest rangers. The use of Personal Protective Equipment (PPE) equipped with reflective materials and fluorescent colors is essential for ensuring the safety of workers in high-risk environments. companies are focusing on innovative product offerings, such as wearable technology, to enhance safety protocols and risk management practices. The COVID-19 pandemic has also accelerated the adoption of high-visibility clothing as companies prioritize the safety and health of their employees. The market is expected to continue its growth trajectory, driven by the need for enhanced safety measures and regulatory compliance.

What will be the Size of the Market During the Forecast Period?

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The high visibility apparel market in the US is witnessing significant growth due to the increasing prioritization of safety and risk management practices across various industries. This market caters to the demand for safety vests, shirts, jackets, rainwear, and other high visibility workwear in sectors such as construction, traffic management, maintenance services, offshore activities, mining, manufacturing, military & defense, transportation, healthcare, logistics, recreational activities, and more. High visibility apparel is essential in ensuring the safety of workers in hazardous environments. The use of reflective materials and fluorescent colors enhances the visibility of the wearer, reducing the risk of accidents.

Also, tier 1 companies are increasingly investing in advanced reflective materials, moisture-wicking fabrics, and smart textiles to improve the functionality and comfort of their high visibility workwear. The transportation sector is a significant contributor to the growth of the high visibility apparel market in the US. With the increasing number of vehicles on the road and the need for efficient traffic management, the demand for reflective vests and shirts for road workers and law enforcement personnel is on the rise. Similarly, in the manufacturing sector, workers are exposed to various hazards, including heavy machinery, chemicals, and electrical equipment. High visibility apparel is crucial in ensuring their safety and preventing accidents.

Moreover, the use of smart textiles and wearable technology in high visibility workwear is gaining popularity due to their ability to monitor workers' vital signs and alert supervisors in case of emergencies. The healthcare sector is another significant market for high visibility apparel. Healthcare workers, especially those working in emergency services and intensive care units, require high visibility apparel to ensure their safety and the safety of their patients. The use of moisture-wicking fabrics and advanced reflective materials in healthcare workwear enhances comfort and visibility, making it an essential investment for healthcare providers. Logistics and recreational activities are other sectors where high visibility apparel is gaining popularity.

In logistics, workers involved in loading and unloading cargo, as well as those working in warehouses, require high visibility apparel to ensure their safety. In recreational activities, such as hunting, fishing, and camping, high visibility rainwear is essential to ensure safety in adverse weather conditions. In conclusion, the high visibility apparel market in the US is witnessing significant growth due to the increasing prioritization of safety and risk management practices across various industries. The use of advanced reflective materials, moisture-wicking fabrics, and smart textiles is enhancing the functionality and comfort of high visibility workwear, making it an essential investment for businesses in the US.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Product

  Durable
  Disposable


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  Middle East and Africa



  South America

By Product Insights

The durable segment is estimated to witness significant growth during the forecast period. The market in the United States is experiencing growth in the durable product segment due to increased safety regulations aimed at minimizing workplace hazards. Durable high-visibility clothing is particularly valuable in industries with challenging conditions, such as extreme temperatures, radiation, and pressure. The rising dema

A supplementary dataset related to the paper discussing preparation of a digital elevation model derived from DMR 5G (LiDAR-based DEM of the Czech Republic) cleaned of modern artificial features. It includes data used as a clipping mask and data produced during the testing phase.

Contents:

• ..\clipping_buffers.gdb\ - Clipping buffers based on ZABAGED dataset used for masking the original data stored as ESRI geodatabase.
• ..\drainages\ - Drainages with Strahler order higher than four (potential watercourses) for the original and filtered DEMs.
  • drainages_filtered - Drainges identified in the filtered DEM stored as GeoTIFF.
  • drainages_original - Drainges identified in the original DEM stored as GeoTIFF.
• ..\LSC\ - Locations with significant land surface curvature for the original and filtered DEMs.
  • LSC_filtered - Significant LSC identified in the filtered DEM stored as GeoTIFF.
  • LSC_original - Significant LSC identified in the original DEM stored as GeoTIFF.
• ..\visibility\ - Viewsheds computed over the original and filtered DEMs.
  • Libice\ - Sample viewsheds computed for the early medieval hillfort of Libice.
    • Libice_visibility_filtered - Viewshed based on the filtered DEM stored as GeoTIFF.
    • Libice_visibility_original - Viewshed based on the original DEM stored as GeoTIFF.
    • observer_points - Observer points used for calculating the viewsheds.
  • regular_grid\ - Cumulative viewsheds calculated for regularly spaced points in a 10 x 10 km grid with a visibility radius of 5 km and an observer height of 2 m; a total of 574 viewsheds.
    • visibility_filtered - Cumulative viewshed for the filtered DEM stored as GeoTIFF.
    • visibility_original - Cumulative viewshed for the original DEM stored as GeoTIFF.
    • visibility_test_buffers - Buffers used for the viewshed calculations stored as ESRI shapefile.
    • visibility_test_observers - Observer points used for the viewshed calculations stored as ESRI shapefile.

Preprint version of the related paper:

Novák, David and Pružinec, Filip, Potential and Implications of Automated Pre-Processing of Lidar-Based Digital Elevation Models for Large-Scale Archaeological Landscape Analysis. Available at SSRN: https://ssrn.com/abstract=4063514

The global supply chain visibility solutions market is projected to grow from USD 2.4 billion in 2025 to USD 8.2 billion by 2033, at a CAGR of 16.1% during the forecast period. The rising need for real-time visibility and transparency across supply chains, driven by globalization, increased regulatory compliance, and customer demand for supply chain sustainability, are the primary factors driving the market growth. On-premise solutions are expected to hold a larger market share during the forecast period due to their ability to provide greater control and customization. However, cloud-based solutions are gaining popularity as they offer cost-effective and scalable options, particularly for small and medium-sized enterprises (SMEs). Key industry players include SAP, Oracle, IBM, Infor Nexus, Sage, Zetes, Descartes, MP Objects, FourKites, BluJay, project44, Specright, Software AG, and CoEnterprise. North America is anticipated to dominate the market due to the presence of established supply chain visibility solution providers and a high level of technology adoption. Supply Chain Visibility Solutions: A Comprehensive Market Report (Value: $1.5 Million) This comprehensive report provides an深入分析of the global supply chain visibility solutions market, including its current landscape, future trends, and key players.