Abstract

NielsenIQ Retail Scanner Data

Methodology

Through a relationship with NielsenIQ, the Kilts Center at the University of Chicago Booth School of Business provides multiple consumer datasets to academic researchers around the world.

Columbia has an agreement with the Kilts Center. Authorized faculty, graduate students, and research staff can apply to access this dataset.

Annual funding of the dataset is shared between the Program for Economic Research and the Libraries.

Funding for data analysis using the Columbia Data Platform is provided by the Program for Economic Research.

Usage

The Retail Scanner Data (also referred to as RMS data) consists of weekly pricing, volume, and store merchandising conditions generated by participating retail store point-of-sale systems in all US markets. Depending on the year, data are included from approximately 30,000-50,000 participating grocery, drug, mass merchandiser, and other stores. Products from all NielsenIQ-tracked categories are included in the data, such as food, non-food grocery items, health and beauty aids, and select general merchandise. Currently, the years 2006-2021 are included. We expect to update the data on an annual basis. Updates are expected to be available in the first quarter of each calendar year, and will always lag by 2 years (e.g. 2022 Retail Scanner data is expected to be released in Q1 of 2024).

There are three major types of files associated with the Retail Scanner Data: Stores, Product Description, and Movement (i.e., weekly sales and pricing). The Stores file contains information about each individual store location. The Product Description file contains information about each UPC. The Movement files contain the price and quantity of goods sold at specific stores on a specific week.

This software was developed per the ASTM E3125-17 documentary standard for 3D imaging systems. The software was written in MATLAB and Python and sample sphere data sets are provided.

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Scanner US includes consumer point-of-sale transaction data from 100K+ retail stores, 250+ companies with US spend, and 200+ tickers and symbols. With over 5 years of history, over 75% of consumer spend is accounted for in channel for tracked products and data covers over 60% of US sales. Data boasts 70%+ correlation with reported KPIs for 50+ tickers.

Consumer Edge’s consumer point-of-sale transaction data offers insights into sectors across consumer and discretionary spend such as: • Mass Beauty • CPG / FMCG • Consumer Staples • OTC Healthcare • Other

Public and private investors can leverage insights from CE’s synthetic data to assess consensus estimates and investment opportunities, digging deep into drivers of CPG trends.

Data tables containing indicative research consumer price inflation (CPI) estimates at consumption segment level from using alternative grocery scanner data.

The National Aeronautics and Space Administration (NASA) Aircraft Scanners data set contains digital imagery acquired from several multispectral scanners, including Daedalus thematic mapper simulator scanners and the thermal infrared multispectral scanner. Data are collected from selected areas over the conterminous United States, Alaska, and Hawaii by NASA ER-2 and NASA C-130B aircraft, operating from the NASA Ames Research Center in Moffett Field, California, and by NASA Learjet aircraft, operating from Stennis Space Center in Bay St. Louis, Mississippi. Limited international acquisitions also are available. In cooperation with the Jet Propulsion Laboratory and Daedalus Enterprises,Inc., NASA developed several multispectral sensors. The data acquired from these sensors supports NASA's Airborne Science and Applications Program and have been identified as precursors to the instruments scheduled to fly on Earth Observing System platforms. THEMATIC MAPPER SIMULATOR The Thematic Mapper Simulator (TMS) sensor is a line scanning device designed for a variety of Earth science applications. Flown aboard NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field of View of 1.25 milliradians with a ground resolution of 81 feet (25 meters) at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per second with 716 pixels per scan line. Swath width is 8.3 nautical miles (15.4 kilometers) at 65,000 feet while the scanner's Field of View is 42.5 degrees. NS-001 MULTISPECTRAL SCANNER The NS-001multispectral scanner is a line scanning device designed to simulate Landsat thematic mapper (TM) sensor performance, including a near infrared/short-wave infrared band used in applications similar to those of the TM sensor (e.g., Earth resources mapping, vegetation/land cover mapping, geologic studies). Flown aboard NASA C-130B aircraft, the NS-001 sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a variable scan rate (10 to 100 scans per second) with 699 pixels per scan line, but the available motor drive supply restricts the maximum stable scan speed to approximately 85 revolutions per second. A scan rate of 100 revolutions per second is possible, but not probable, for short scan lines; therefore, a combination of factors, including aircraft flight requirements and maximum scan speed, prevent scanner operation below 1,500 feet. Swath width is 3.9 nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or field of regard for the sensor is 100 degrees, plus or minus 15 degrees for roll compensation. THERMAL INFRARED MULTISPECTRAL SCANNER The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line scanning device originally designed for geologic applications. Flown aboard NASA C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor has a nominal Instantaneous Field of View of 2.5 milliradians with a ground resolution of 25 feet (7.6 meters) at 10,000 feet. The sensor has a selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698 pixels per scan line. Swath width is 2.6 nautical miles (4.8 kilometers) at 10,000 feet while the scanner's Field of View is 76.56 degrees.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

These data are 3D point cloud data collected by laser scanner in the Hetch Hetchy area of Yosemite National Park, USA. The data were collected to assess landscape change and vegetation response following the 2013 Rim wildfire. Filename convention: "hh_datatype_dd_ddmmyyyy_laserreturns_siteidentification". "datatype" is either "alsm" or "tls" The former was collected by the National Center for Airborne Laser Mapping for the U.S. Forest Service and National Park Service, and only a small portion of those data covering this study area are included here. The latter were collected by the U.S. Geological Survey using a Riegl VZ-400 laser scanner. "dd_dd" refers to first and last day of month of data collection. "mmyyyy" is month and year of data collection. "laserreturns" specify which laser pulses are included in each TLS dataset. The laser scanner collects multiple laser returns for each emitted laser pulse. These are labled as "single", "last", "first", or "other". "siteidentification" refers to either the upper or lower study site in Poopenaut Valley near Hetch Hetchy in Yosemite National Park.

The global PDA scanner market, valued at $2.96 billion in 2025, is projected to experience robust growth, driven by the increasing adoption of barcode scanning technology across various sectors. The compound annual growth rate (CAGR) of 6.2% from 2025 to 2033 indicates a significant expansion of this market over the forecast period. Key drivers include the rising need for efficient inventory management, streamlined supply chain operations, and improved data capture capabilities in retail, logistics, manufacturing, and healthcare. The increasing demand for real-time data tracking and improved operational efficiency further fuels market growth. The prevalence of Android and Windows operating systems in PDA scanners reflects the dominant technological landscape, with Android likely holding a larger market share due to its open-source nature and wide device compatibility. Competition among major players like Zebra, Honeywell, and Datalogic is intense, prompting continuous innovation in scanner technology and functionality. Geographical distribution reveals a strong presence in North America and Europe, likely representing mature markets with established infrastructure and high technology adoption rates. However, Asia Pacific is anticipated to witness significant growth, driven by rapid industrialization and expansion of e-commerce in countries like China and India. While the market faces potential restraints such as the high initial investment cost of implementing PDA scanner systems and the emergence of alternative technologies, the overall trend points towards sustained growth, propelled by the enduring need for efficient data collection and management across various industries. The market segmentation by application (Retail & Wholesale, Logistics & Warehousing, Industrial Manufacturing, Healthcare, Others) and by type (Android, Windows, Others) allows for a deeper understanding of the specific needs and trends within each sector, enabling more targeted technological advancements and product development.

Retail sales of specific packaged goods (coffee, laundry detergent, shampoo) broken out by U.S. region, brand, size, packaging material, UPC, and price.

Point cloud data collected on a steep, severely burned hillslope below Barfoot Peak near Rustler Park in the Chiricahua Mountains, AZ. The data were collected June 21, July 18, August 1, August 23, 2011 and March 14, 2012. The data were collected with a Leica Scanstation C10 High Definition Scanner. The data are delivered as georeferenced (WGS UTM zone 12N ellipsoid) and classified point clouds. The included files are: Chiri_20120314.laz Chiri_20110611.laz Chiri_20110718.laz Chiri_20110801.laz Chiri_20110823.laz

On the 22nd of September 2008 a tricolour scanner (Airborne Research Australia/AWI Airborne Tri-spectral Scanner System) collected data from part of the Kimberley (Coulomb Point, Quondong Point and Gourdon Bay). The bands collected were red, green, near infra-red (NIR) (wavelengths ~450nm to ~825nm)

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Barcode Scanner Market Size 2025-2029

The barcode scanner market size is forecast to increase by USD 4.92 billion at a CAGR of 9% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of wearable barcode scanners in the manufacturing industry and the rising use of two-dimensional (2D) barcodes. These advancements offer enhanced data capture capabilities and improved efficiency, making them increasingly popular in various sectors. However, regulatory hurdles and supply chain inconsistencies temper the market's growth potential. Regulatory compliance, particularly in healthcare and pharmaceuticals, can pose challenges due to stringent regulations governing data security and privacy. Inconsistencies in the supply chain can lead to delays and inefficiencies, which may discourage some businesses from adopting barcode scanning technology. Another trend is the use of smart wearable devices with capabilities of barcode scanner capabilities, enabling hands-free scanning and increasing productivity.
Despite these challenges, the market's future looks promising as businesses continue to seek ways to streamline operations and enhance data accuracy. Companies can capitalize on this trend by focusing on regulatory compliance and supply chain optimization, ensuring a smooth adoption process and maximizing the potential benefits of barcode scanning technology. The market is expected to continue growing as industries embrace digitalization and automation.

What will be the Size of the Barcode Scanner Market during the forecast period?

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The market exhibits dynamic activity, with various components and services gaining traction. Scanner warranties ensure business continuity, safeguarding investments. Scanner mounts optimize ergonomics and efficiency in diverse workplaces. Training equips users with essential skills, enhancing productivity. Integration services seamlessly connect scanners with enterprise systems. Calibration maintains scanner accuracy, crucial for error-free data capture. Barcode scanning forums foster knowledge sharing and best practices. The industrial barcode scanning market is witnessing significant growth due to the increasing automation in various industries, including e-commerce retail outlets, courier services, and e-retailers.
Stands protect scanners from damage and improve accessibility. Customization caters to unique business requirements. Software updates introduce new features and enhance performance. Consulting offers expert guidance on scanner selection and implementation. Support addresses queries and troubleshoots issues promptly. Accessories expand scanner functionality, while maintenance ensures optimal performance. Barcode labels, a prerequisite for scanning, undergo continuous innovation. The smart warehousing sector is a major contributor to the market's growth potential due to the large-scale handling of goods and the need for accurate tracking and supply chain management.

How is this Barcode Scanner Industry segmented?

The barcode scanner industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Rugged barcode scanner
  Non-rugged barcode scanner


Product

  Mobile computers
  Handheld barcode scanner
  Self-checkout barcode scanner
  POS retail barcode scanner


Connectivity

  Wired barcode scanners
  Wireless barcode scanners


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The rugged barcode scanner segment is estimated to witness significant growth during the forecast period. The barcode scanning market is witnessing significant growth due to the increasing adoption of advanced technologies such as OCR technology, decoding algorithms, and image processing in barcode scanning devices. These technologies enable the scanning of various barcode symbologies, including 1D and 2D barcodes, QR codes, and Data Matrix, as well as RFID tags. The integration of GS1 standards and API integration further enhances the functionality of barcode scanners, allowing for real-time data capture and analysis. The mobile workforce is a key driver of the market, with mobile barcode scanners gaining popularity due to their convenience and flexibility. These scanners offer Bluetooth connectivity, Wi-Fi connectivity, and USB connectivity, enabling seamless data transfer and integration with business software and systems. Barcode scanners are indispensable tools in various industries, including manufacturing, logistics, healthcare, retail, and warehousing.

Mobile app scanning and cloud-based scan

Abstract: We provide causal evidence of an ex ante moral hazard effect of Unemployment Insurance (UI) by matching plausibly exogenous changes in UI benefit duration across state-weeks during the Great Recession to high-frequency productivity measures from individual supermarket cashiers. Estimating models with day and cashier-register fixed effects, we identify a modest but statistically significant negative relationship between UI benefits and worker productivity. This effect is strongest for more experienced and less productive cashiers, for whom UI expansions are especially relevant. Additional analyses from the American Time Use Survey reveal a similar increase in shirking during periods with increased UI benefit durations.

The dataset includes 5 panoramic scans of the buildings, cultural resources, and other features within the National Park Service boundaries at Roger Williams National Memorial. The scans exist as point cloud files in Trimble Business Center. Each scan has at most 24 panoramic photographs associated with it, depending on whether it was a horizontal band or polygon scan. The points have been colorized based off the panoramic photographs and have been categorized into regions, such as buildings, ground, poles, and trees. There is a layer of points selected from the bottom of doorway thresholds to capture the finished floor elevation data. There is also a layer of points representing the elevation of first floor windows and basement windows. Each point in the layer has elevation data and latitude and longitude data associated with it. The layers are exportable into ArcGIS Pro as point layers, and the data associated with each point layer is exportable as a CSV file. The data was collected in NAD83 (2011) meters UTM Zone 19 and NAVD88. The controller used was a Trimble TSC7 data collector. Control points were set using the BOHA NTRIP base station, an R12i GNSS receiver, and a prism. Scans were completed using a Trimble SX12 scanner that was set so that points would be 2 cm apart at 20 m with a scanning distance of 200 m and a scanning radius of 1 m from the scanner. The scans were performed using the coarse resolution, stored in Trimble Access, and exported to Trimble Business Center.

Explore the burgeoning Android PDA scanner market: trends, drivers, and growth opportunities in logistics, healthcare, and industrial sectors. Discover key players and regional insights from 2019-2033.

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3D Scanner Market Size 2025-2029

The 3D scanner market size is forecast to increase by USD 5.65 billion at a CAGR of 12.6% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the increasing adoption of portable handheld scanners. These devices offer enhanced flexibility and convenience, making them increasingly popular across various industries, including manufacturing, construction, and healthcare. However, the high cost of 3D scanners remains a notable challenge, limiting their widespread adoption.
Navigating the high cost barrier will be crucial for market success, as the integration of AI technology presents a significant opportunity to streamline processes and improve efficiency. Despite this obstacle, the integration of artificial intelligence (AI) technology into handheld 3D scanners is expected to drive innovation and potentially reduce costs. Companies seeking to capitalize on this market's potential should focus on developing affordable, AI-enabled handheld 3D scanners to cater to the evolving demands of businesses.

What will be the Size of the 3D Scanner Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market is witnessing significant advancements in various areas, including pose estimation, system integration, and model simplification. Pose estimation enables accurate tracking of objects in real-time, enhancing the functionality of 3D scanning systems. System integration is crucial for seamless data flow between hardware and software components, ensuring efficient 3D animation pipelines and virtual reality applications. Model simplification techniques improve 3D model fidelity by reducing the complexity of scanned data, making it easier to process and manipulate. Hardware troubleshooting and calibration procedures are essential for maintaining the performance of 3D scanning systems, particularly when using depth sensor technology and dealing with scanning speed limits.

Computer vision, machine learning, and pattern recognition algorithms play a vital role in enhancing the accuracy assessment of 3D scanning data. Image segmentation and texture synthesis are essential for creating high-quality 3D models, while feature extraction and object tracking enable advanced applications in augmented reality and spatial resolution. Data acquisition rate and data compression are critical factors in optimizing 3D scanning workflows, ensuring efficient data visualization and 3D scene reconstruction. Precision engineering applications require high spatial resolution and temporal resolution, making them a growing market segment for 3D scanning technology.

Software debugging and sensor alignment are ongoing challenges in the 3D scanning industry, requiring continuous innovation to overcome scanning accuracy issues and improve overall system performance. Overall, the market is evolving rapidly, driven by advancements in hardware, software, and applications. Additionally, the use of oral care and dental practice management software is streamlining operations and enhancing patient care.

How is this 3D Scanner Industry segmented?

The 3D scanner industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Technology

  Laser triangulation
  Structured light


End-user

  Industrial manufacturing
  Healthcare
  Architecture and engineering
  Aerospace and defense
  Others


Product Type

  Short-range
  Medium-range
  Long-range


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Technology Insights

The Laser triangulation segment is estimated to witness significant growth during the forecast period. The 3D scanning market is experiencing significant growth, driven by the increasing adoption of advanced technologies such as laser triangulation, non-contact measurement, and real-time 3D scanning. These technologies offer numerous benefits, including high-resolution imaging, geometric accuracy, and surface texture mapping. Motion compensation and registration algorithms enable seamless scanning of complex objects, while multi-sensor fusion and point cloud processing enhance data quality. Laser triangulation technology, in particular, is gaining popularity due to its high-accuracy measurements and wide application in industries such as industrial metrology, reverse engineering, and virtual prototyping.

The market is also witnessing the development of software development kits (SDKs) and mesh generation algorithms for easy integration with various appl

In forest inventory, trees are usually measured by handheld instruments; among the most relevant are calipers, inclinometers, ultrasonic devices, and laser range finders. Traditional forest inventory is nowadays redesigned, since modern laser scanner technology became available. Laser scanner generate massive data in the form of 3D point clouds. Novel methodology is currently developed to provide estimates of the tree positions, stem diameters, and tree heights from these 3D point clouds. This dataset was made publicly accessible to test new software routines for the automatic measurement of forest trees using laser scanner data. Benchmark studies with performance tests of different algorithms are welcome. The dataset contains co-registered raw 3D point-cloud data collected on 20 forest inventory sample plots in Austria. The data was collected by two different laser scanning systems: (i) a mobile personal laser scanner (PLS) (ZEB Horizon, GeoSLAM Ltd., Nottingham, UK), and (ii) a static terrestrial laser scanner (TLS) (Focus3D X330, Faro Technologies Inc., Lake Mary, FL, USA). The data also contains digital terrain models (DTM), field measurements as reference data (“ground-truth”), and the output of recent software routines for the automatic tree detection and the automatic stem diameter measurement.

This data set contains terrestrial LIDAR survey (TLS) point cloud data collected at Grand Mesa, Colorado as part of the 2017 SnowEx campaign. Data were collected in the fall (September and October) and winter (February) seasons. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), along with ancillary information, such as intensity (i) and color (R,G,B), where available. This is unprocessed data which has not been classified by land use (e.g. bare earth, low vegetation, trees).

Scanner Software Market Outlook

According to our latest research, the global scanner software market size reached USD 3.4 billion in 2024, reflecting robust demand across industries. The market is projected to expand at a CAGR of 8.1% from 2025 to 2033, reaching an estimated USD 6.5 billion by the end of the forecast period. This growth is primarily driven by the increasing digitization of business processes, rising demand for workflow automation, and the critical need for secure document management solutions.

One of the primary growth factors for the scanner software market is the accelerating pace of digital transformation across enterprises of all sizes. Organizations are increasingly prioritizing the shift from paper-based workflows to digital document management systems in order to enhance operational efficiency, reduce costs, and improve data accessibility. The proliferation of remote work and hybrid business models has further heightened the need for robust scanner software solutions capable of handling large volumes of documents securely and efficiently. Additionally, regulatory requirements for data retention and compliance, particularly in sectors such as BFSI and healthcare, have compelled businesses to invest in advanced scanner software with integrated security and compliance features.

Another significant driver of the scanner software market is the rapid advancement in artificial intelligence (AI) and machine learning (ML) technologies. Modern scanner software solutions are increasingly leveraging AI-powered optical character recognition (OCR), intelligent image processing, and automated data extraction capabilities, which significantly enhance document accuracy and reduce manual intervention. These technological innovations enable organizations to automate repetitive tasks, streamline document workflows, and extract actionable insights from scanned data, thereby improving productivity and decision-making. Furthermore, the integration of scanner software with enterprise resource planning (ERP) and customer relationship management (CRM) systems is facilitating seamless end-to-end process automation across various business functions.

The growing emphasis on data security and privacy is also shaping the scanner software market landscape. With cyber threats and data breaches becoming more sophisticated, organizations are seeking scanner software solutions that offer robust encryption, secure access controls, and comprehensive audit trails. This is particularly crucial for industries handling sensitive information, such as healthcare, government, and finance. Vendors are responding by developing scanner software with enhanced security features, compliance certifications, and support for regulatory frameworks such as GDPR, HIPAA, and PCI DSS. As a result, the demand for security-centric scanner software is expected to witness sustained growth throughout the forecast period.

In the realm of document management, Secure Document Scanners have become indispensable tools for organizations aiming to protect sensitive information. These scanners are equipped with advanced security features such as encryption, secure access controls, and comprehensive audit trails, ensuring that scanned documents remain confidential and tamper-proof. As businesses increasingly handle sensitive data, particularly in sectors like healthcare and finance, the demand for secure document scanning solutions is on the rise. These scanners not only provide robust security but also integrate seamlessly with existing document management systems, enhancing overall workflow efficiency. With the growing emphasis on data privacy and regulatory compliance, secure document scanners are expected to see significant adoption across various industries.

From a regional perspective, North America continues to dominate the scanner software market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The high adoption rate of digital technologies, robust IT infrastructure, and stringent regulatory requirements in the United States and Canada are key factors supporting market growth in North America. Meanwhile, Asia Pacific is emerging as the fastest-growing region, driven by rapid industrialization, increasing investments in digital transformation, and the expanding presence of multinational corporations. La

Statement of problemAlthough there are specific and general digital scanning guidelines depending on the system used, it is important to have the necessary flexibility in the acquisition of three-dimensional (3D) images to adapt to any clinical situation without affecting accuracy.PurposeThe purpose of this in vitro study was to identify and compare the scanning strategy with the greatest accuracy, in terms of trueness and precision, of four intraoral scanners in the impression of a complete dental arch.Material and methodsFour digital scanners were evaluated with a 3D measuring software, using a highly accurate reference model obtained from an industrial scanner as a comparator. Four scanning strategies were applied 10 times on a complete maxillary arch cast inside a black methacrylate box. The data were statistically analyzed using one-way analysis of variance (ANOVA) and post hoc comparisons with Tamhane T2 test.ResultsThe trueness of the Trios and iTero system showed better results with strategy “D,” Omnicam with strategy “B,” and True Definition with strategy “C”. In terms of precision, both iTero and True Definition showed better results with strategy “D”, while Trios showed best results with strategy “A” and Omnicam with strategy “B”. There were significant differences between the scanning strategies (p<0.05) with the iTero scanner, but not with the other scanners (p>0.05).ConclusionsThe digital impression systems used in the experiment provided sufficient flexibility for the acquisition of 3D images without this affecting the accuracy of the scanner.