The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just * percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.

The Water Quality Control Policy for Recycled Water (Recycled Water Policy) requires wastewater and recycled water dischargers (including dischargers that do not produce any recycled water) to annually report monthly volumes of influent, wastewater produced, and effluent, including treatment level and discharge type. As applicable, dischargers are additionally required to annually report recycled water use by volume and category of reuse. Data is self reported and submitted by dischargers through a reporting module in GeoTracker and collected on an annual basis.

Germany Imports: Volume: Data Processing Equipment data was reported at 109,166.800 Tonne in Feb 2025. This records a decrease from the previous number of 118,144.000 Tonne for Jan 2025. Germany Imports: Volume: Data Processing Equipment data is updated monthly, averaging 125,003.750 Tonne from Jan 2008 (Median) to Feb 2025, with 206 observations. The data reached an all-time high of 220,524.300 Tonne in Nov 2010 and a record low of 92,217.900 Tonne in Jul 2016. Germany Imports: Volume: Data Processing Equipment data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.JA003: Trade Statistics: Volume.

Renewable Electricity Futures Study - Volume One. This is part of a series of four volumes describing exploring a high-penetration renewable electricity future for the United States of America. This data set is provides data for the entire volume one document and includes all data for the charts and graphs included in the document.

United States Import Volume by Product: Copper: Ore and Concentrate, Cu Content data was reported at 4.000 Metric Ton in Jun 2018. This records a decrease from the previous number of 4,370.000 Metric Ton for May 2018. United States Import Volume by Product: Copper: Ore and Concentrate, Cu Content data is updated monthly, averaging 3.500 Metric Ton from Jul 2009 (Median) to Jun 2018, with 108 observations. The data reached an all-time high of 9,050.000 Metric Ton in Mar 2017 and a record low of 0.000 Metric Ton in Oct 2017. United States Import Volume by Product: Copper: Ore and Concentrate, Cu Content data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.WB005: Import Volume.

At the end of financial year 2023, the data traffic volume of PT Telkom Indonesia Group amounted to **** exabytes. Telkom Indonesia is the largest telecommunication and network provider in Indonesia. The company offers a wide range of network and telecommunication services, including fixed-line connection services, cellular services, network and interconnection services, as well as Internet and data communication services.

These records are generated from the trip record submissions made by High Volume For-Hire Vehicle (FHV) bases. On August 14, 2018, Mayor de Blasio signed Local Law 149 of 2018, creating a new license category for TLC-licensed FHV businesses that currently dispatch or plan to dispatch more than 10,000 FHV trips in New York City per day under a single brand, trade, or operating name, referred to as High-Volume For-Hire Services (HVFHS). This law went into effect on Feb 1, 2019. Each row represents a single trip in a FHV dispatched by a high volume base. The trip records include fields capturing the high volume license number, the pickup and drop-off date, time, and taxi zone location ID, which correspond with the NYC Taxi Zones open dataset.

This statistic shows the distribution of user data plans in Saudi Arabia in 2016, by data volume. The share of users who had a beginner level data plan of 100 megabytes to * gigabyte was approximately ** percent.

United States Import Volume by Product: Alumina data was reported at 1,300.000 Metric Ton th in 2017. This records an increase from the previous number of 1,140.000 Metric Ton th for 2016. United States Import Volume by Product: Alumina data is updated yearly, averaging 2,310.000 Metric Ton th from Dec 1993 (Median) to 2017, with 25 observations. The data reached an all-time high of 4,330.000 Metric Ton th in 1996 and a record low of 1,140.000 Metric Ton th in 2016. United States Import Volume by Product: Alumina data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.WB005: Import Volume.

United States Export Volume by Product: Lead: Unwrought: Other data was reported at 162.000 Metric Ton in Mar 2018. This records an increase from the previous number of 5.000 Metric Ton for Feb 2018. United States Export Volume by Product: Lead: Unwrought: Other data is updated monthly, averaging 10.000 Metric Ton from Jan 2017 (Median) to Mar 2018, with 13 observations. The data reached an all-time high of 162.000 Metric Ton in Mar 2018 and a record low of 0.000 Metric Ton in Dec 2017. United States Export Volume by Product: Lead: Unwrought: Other data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.WB003: Export Volume.

Monthly volume of E911 calls received by Cook County ETSB 911. Counts are broken up by call type and Remote Site location. The Cook County ETSB provides 9-1-1 services for all Unincorporated Cook County and the municipalities of Dixmoor, Ford Heights, Golf, Northlake, Phoenix, Robbins, and Stone Park. Incoming Call Volume by Type: Statistics gathered by the caller class of service and by caller trunk number. Remote Site Transfer Call Volume: Transferred Call Volume of each Cook County ETSB remote site for the month.

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.

Import volume index (2000 = 100) in Togo was reported at 86.91 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Togo - Import volume index (2000 = 100) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

This layer consists of Average Daily Traffic (ADT) volumes with Vehicle Classification Data for most recent years, on Interstate, Arterial and Primary Routes. It also includes a list of each Interstate and Primary highway segment with the estimated Annual Average Week Day Traffic (AAWDT) for that segment. It includes data from 1986 to 2023. Please note that traffic volume data here are bidirectional volume. The latest directional and bidirectional traffic volume data are also available in TMPD’s Pathways for Planning (P4P), https://vdotp4p.com.Data Updated: Dec 2024 ADT Quality Codes: 1 A Average of Complete Continuous Data 2 B Average of Selected Continuous Count Data 6 F Factored Short Term Traffic Count Data 7 G Factored Short Term Traffic Count Data with Growth Element 8 H Historical Estimate 13 M Manual Uncounted Estimate 14 N AADT of Similar Neighboring Traffic Link 15 O Provided By External Source 18 R Unfactored 24 Hour Traffic Count 20 T ITE Trip Generation Estimate 24 X Not AvailableClass Quality Codes: 1 A Average of Complete Continuous Data 2 B Average of Selected Continuous Count Data 3 C Short Term Classified Traffic Count 4 D Corrected Short Term Classified Traffic Count 6 F Factored Short Term Traffic Count Data 7 G Corrected Factored Short Term Traffic Count Data 8 H Historical Estimate 13 M Mass Collective Average 14 N Classification of Similar Neighboring Traffic Link 24 X Not Available Pop Up ConfigurationAverage Daily Traffic: {ADT}-----------------------------------------------------------Route Name: {ROUTE_COMMON_NAME}Route Type: {RTE_TYPE_CD}Begin Location: {START_LABEL}End Location: {END_LABEL}Average Annual Weekday Traffic: {AAWDT}View in attribute table for more details...

Data Analytics Outsourcing Market Size And Forecast

Data Analytics Outsourcing Market size was valued at USD 10.2 Billion in 2024 and is projected to reach USD 55.44 Billion by 2031, growing at a CAGR of 26% from 2024 to 2031.

Global Data Analytics Outsourcing Market Drivers

Growing Volume of Big Data: The increasing volume of big data is leading firms to outsource analytics. According to IDC, the global datasphere is expected to increase from 33 zettabytes in 2018 to 175 zettabytes by 2025. This tremendous rise in data volume has compelled firms to seek external expertise for efficient data management and analytics.

Cost-Effectiveness of Outsourcing: Outsourcing data analytics can be more cost-effective than having an in-house team. According to a Deloitte poll, 59% of organizations outsource primarily to save money. According to the same poll, 47% of organizations saved between 10 and 25% of their costs through outsourcing.

Shortage of Skilled Data Professionals: Due to a shortage of experienced data analytics workers, organizations are increasingly outsourcing. The U.S. Bureau of Labor Statistics predicts that employment of data scientists and mathematical scientific occupations will expand 31% between 2019 and 2029, substantially faster than the national average, indicating a significant skills gap.

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.

The dataset contains the number (volume) for 11 types of cancer (bladder, breast, brain, colon, esophagus, liver, lung, pancreas, prostate, rectum, and stomach) surgeries performed in California hospitals. Data are reported for January – September 2015 due to coding changes from ICD-9-CM to ICD-10-CM/PCS for procedures, which began 10/1/2015. Comparisons across years should be made with caution since previous years’ results are based on 12 months of data, while this analysis is based on 9 months of data. The 2015 data may differ from previous years due to the coding change. For all types of cancer surgeries, except breast cancer, the dataset contains surgeries performed in the inpatient hospital setting. For breast cancer surgeries, this dataset includes procedures performed in inpatient and outpatient settings.

Import volume index (2000 = 100) in Pakistan was reported at 170 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - Import volume index (2000 = 100) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Import volume index (2000 = 100) in Jamaica was reported at 120 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Jamaica - Import volume index (2000 = 100) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The City of Toronto's Transportation Services Division collects short-term traffic count data across the City on an ad-hoc basis to support a variety of safety initiatives and projects. The data available in this repository are a full collection of Speed, Volume and Classification Counts conducted across the City since 1993. The two most common types of short-term traffic counts are Turning Movement Counts and Speed / Volume / Classification Counts. Turning Movement Count data, comprised of motor vehicle, bicycle and pedestrian movements through intersections, can be found here. Speed / Volume / Classification Counts are collected using pneumatic rubber tubes installed across the roadway. This dataset is a critical input into transportation safety initiatives, infrastructure design and program design such as speed limit changes, signal coordination studies, traffic calming and complete street designs. Each Speed / Volume / Classification Count is comprised of motor vehicle count data collected over a continuous 24-hour to 168-hour period (1-7 days), at a single location. A handful of non-standard 2-week counts are also included. Some key notes about these counts include: Not all counts have complete speed and classification data. These data are provided for locations and dates only where they exist. Raw data are recorded in 15-minute intervals. Raw data are recorded separately for each direction of traffic movement. Some data are only available for one direction, even if the street is two-way. Within each 15 minute interval, speed data are aggregated into approximately 5 km/h increments. Within each 15 minute interval, classification data are aggregated into vehicle type bins by the number of axles, according to the FWHA classification system attached below. The following files showing different views of the data are available: Data Dictionary (svc_data_dictionary.xlsx): Provides a detailed definition of every data field in all files. Summary Data (svc_summary_data): Provides metadata about every Speed / Volume / Classification Count available, including information about the count location and count date, as well as summary data about each count (total vehicle volumes, average daily volumes, a.m. and p.m. peak hour volumes, average / 85 percentile / 95 percentile speeds, where available, and heavy vehicle percentage, where available). Most Recent Count Data (svc_most_recent_summary_data): Provides metadata about the most recent Speed / Volume / Classification Count data available at each location for which a count exists, including information about the count location and count date, as well as the summary data provided in the “Summary Data” file (see above). Raw Data: Raw data is available in 15-minute intervals, and is distributed into one of three different file types based on the count type: volume-only, speed and volume, or classification and volume. If you’re looking for 15-minute data for a specific count, identify the count type and count date, then download the raw data file associated with the count type and period. If you’re looking for volume data for all count types, you will need to download and aggregate all three file types for a given period. Volume Raw Data (svc_raw_data_volume_yyyy_yyyy): These files—grouped by 5-10 year interval—provide volume data in 15-minute intervals, for each direction separately. You will find the raw data for volume-only counts (ATR_VOLUME) here. Speed and Volume Raw Data (svc_raw_data_speed_yyyy_yyyy): These files—grouped by 5-10 year interval—provide volume data aggregated into speed bins in approximately 5 km/h increments. Speed data are not available for all counts. You will find the raw data for speed and volume counts (ATR_SPEED_VOLUME) here. Classification and Volume Raw Data (svc_raw_data_classification_yyyy_yyyy): These files—grouped by 5-10 year interval—provide volume data aggregated into vehicle type bins by the number of axles, according to the FWHA classification system. Classification data are not available for all counts. You will find the raw data for classification and volume counts (VEHICLE_CLASS) here. FWHA Classification Reference (fwha_classification.png): Provides a reference for the FWHA classification system. This dataset references the City of Toronto's Street Centreline dataset, Intersection File dataset and Street Traffic Signal dataset.