The size of the New Jersey Data Center market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 4.90% during the forecast period.The New Jersey data center market plays a major role in the global data center landscape. Data centers are special-purpose facilities designed to house and protect computer systems, as well as associated components like telecommunications and storage systems. The facilities provide high availability and reliability for critical IT infrastructure. Data centers are very important for businesses and organizations of any size, as they provide the capacity to store, process, and manage massive amounts of data efficiently and in a secure manner. They support many applications, including cloud computing, e-commerce, financial transactions, and research work, among many others. Recent developments include: August 2022: NovoServe, based in the Netherlands, will open its first data center in the United States. NovoServe will open the first phase of its New Jersey data center. The bare-metal hosting specialist's US expansion will enable its network customers to serve the US and Canadian East Coast with sub-20ms latency., April 2023: Continent 8 Technologies officially opens the third stage of its Atlantic City data center development. Continent 8, the premier provider of managed hosting, connectivity, and security solutions to the global gambling sector, has increased capacity by 30% in its Atlantic City data center. The Casino Reinvestment Development Authority (CRDA) approved the stage three extension, which included constructing a 5,330 sq ft Modular Data Centre (MDC) on the site.. Key drivers for this market are: Growing Adoption of Cloud Services is expected to flourish the market, Increasing Growth in Wholesale Datacenter Multi-tenant Spaces to propel demand (albeit from a lower base); Increased Emphasis on Compliance with Data Regulations and Cost-Effective Nature of Multi-tenant Facilities to Drive Adoption among SME's. Potential restraints include: Dependence on Regulatory Landscape & Stringent Security Requirements. Notable trends are: Cloud Computing in BFSI is anticipated to hold a significant share.

The New Jersey Data Center Market was valued at USD 4.2 Billion in 2024 is anticipated to reach USD 7.9 Billion by 2032, growing at a CAGR of 8.2% from 2026 to 2032.

New Jersey Data Center Market: Definition/ Overview

In New Jersey, data center is a facility that holds computing infrastructure, such as servers, storage, and networking equipment, to support data processing, cloud computing, and information technology services. These centers offer colocation, edge computing, and disaster recovery solutions to enterprises, assuring secure and effective data management. Due to its strategic location near New York City, New Jersey has emerged as a vital hub for financial institutions, technology organizations, and enterprises seeking low-latency data processing and high-speed connectivity.

The New Jersey Data Center Market appears to be promising, driven by rising demand for AI, cloud computing, and stronger data security rules.

The United States Data Center Market report segments the industry into Hotspot (Atlanta, Austin, Boston, Chicago, Dallas, Houston, Los Angeles, New Jersey, New York, Northern California, Northern Virginia, Northwest, Phoenix, Salt Lake City, Rest of United States), Data Center Size (Large, Massive, Medium, Mega, Small), Tier Type (Tier 1 and 2, Tier 3, Tier 4), and Absorption (Non-Utilized, Utilized).

In 2024, Silicon Valley was the area in the United States where building a data center was the most expensive. Additionally, data center construction costs in Silicon Valley increased at a faster pace than in other areas of the country since 2019. New Jersey was not far behind, as it also had relatively high costs. Meanwhile, Phoenix, Atlanta, and Dallas were the cheapest cities to build data centers.

NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and warning efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Grid spacings for the DEMs range from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).

The Edge Data Center Market size was valued at USD 9.30 USD Billion in 2023 and is projected to reach USD 35.11 USD Billion by 2032, exhibiting a CAGR of 20.9 % during the forecast period. Edge data centers are structured facilities set up in the nearby user’s area to provide, alongside other cloud computing services, cached content to their consumers, driving speed and reducing latency by cutting the distance that data has to travel. The creation of these centers enables the user to interact with their desired computational power piece much closer to their actual location resulting in an improved user experience for people when applying, streaming, and using their online option. Through placing most of the data locally, they decrease the needed time for data to travel between users of the application and central data center. Usually a smaller edge data center is combined with the head one which is in a large city, forming a network model of edge computing. This organization reduces time and better accommodates latency for applications that are timely, for example gaming in real time, video streaming, IoT devices and critical company functions. Characteristics of edge data centers include location near the end user, the ability to cater for variable workloads, the hauling capacity for high internet speed connectivity as well as caching process used to store the most recently accessed content close to the users. They have multiple uses such as web use enhancement, Internet of Things (IoT) supporting, and real-time low latency and fault-proofed applications. Recent developments include: July 2023: Ubiquity acquired a data center solutions company, EdgePresence, and expanded its product portfolio. This acquisition would help the company to speed up its commitment to focus on ownership of critical last-mile network infrastructure assets., July 2023: American Tower announced its plans to build a new edge data center in San Antonio, Texas. The company has filed to build what is listed as the ‘American Tower Data Center - Highway 90’ with the Texas Department of Licensing and Regulation., June 2023: Edge Centres completed the acquisition of a facility in Reston, Virginia. In addition, the company intends to develop 20 facilities in the U.S. in the coming three years. In an attempt to achieve this, the company has been exploring potential additions to its product portfolio in New Jersey., February 2023: Varanium Cloud introduced a containerized data center in Maharashtra with the aim of catering to tier-two cities with technology, internet, and digital services. The newly launched edge data center is based in the town of Kudal in the Sindhudurg district under the company’s Hydra Web Services unit., February 2023: AtlasEdge acquired Datacenter One with the objective of expanding its geographical footprint and customer base. The acquired company has over 140+ end users, four state-of-the-art data centers in Leverkusen and Dusseldorf, and two in Stuttgart.. Key drivers for this market are: Governmental Push Accelerates the Demand for Edge Data Center Solutions. Potential restraints include: Rise in Energy Costs, Supply Chain and Component Shortages, and Cybersecurity Concerns May Hamper the Market Growth. Notable trends are: Technological Advancements, Video Streaming Services, and Well-crafted Business Strategies Adopted by Market Leaders .

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In 2023, the metropolitan area of New York-Newark-Jersey City had the biggest population in the United States. Based on annual estimates from the census, the metropolitan area had around 19.5 million inhabitants, which was a slight decrease from the previous year. The Los Angeles and Chicago metro areas rounded out the top three. What is a metropolitan statistical area? In general, a metropolitan statistical area (MSA) is a core urbanized area with a population of at least 50,000 inhabitants – the smallest MSA is Carson City, with an estimated population of nearly 56,000. The urban area is made bigger by adjacent communities that are socially and economically linked to the center. MSAs are particularly helpful in tracking demographic change over time in large communities and allow officials to see where the largest pockets of inhabitants are in the country. How many MSAs are in the United States? There were 421 metropolitan statistical areas across the U.S. as of July 2021. The largest city in each MSA is designated the principal city and will be the first name in the title. An additional two cities can be added to the title, and these will be listed in population order based on the most recent census. So, in the example of New York-Newark-Jersey City, New York has the highest population, while Jersey City has the lowest. The U.S. Census Bureau conducts an official population count every ten years, and the new count is expected to be announced by the end of 2030.

This file contains COVID-19 death counts, death rates, and percent of total deaths by jurisdiction of residence. The data is grouped by different time periods including 3-month period, weekly, and total (cumulative since January 1, 2020). United States death counts and rates include the 50 states, plus the District of Columbia and New York City. New York state estimates exclude New York City. Puerto Rico is included in HHS Region 2 estimates.

Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file.

Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death.

Death counts should not be compared across states. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly.

The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf).

Rates are based on deaths occurring in the specified week/month and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly/monthly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly/monthly) rate prevailed for a full year.

Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).

EOS-WEBSTER has agreed to serve satellite image subsets for the Forest Watch ("http://www.forestwatch.sr.unh.edu") program and other educational programs which make use of satellite imagery. Forest Watch is a New England-wide environmental education activity designed to introduce teachers and students to field, laboratory, and satellite data analysis methods for assessing the state-of-health of local forest stands. One of the activities in Forest Watch involves image processing and data analysis of Landsat Thematic Mapper data (TM/ETM+) for the area around a participant's school. The image processing of local Landsat data allows the students to use their ground truth data from field-based activities to better interpret the satellite data for their own back yard. Schools use a freely available image processing software, MultiSpec ("http://dynamo.ecn.purdue.edu/%7Ebiehl/MultiSpec/"), to analyze the imagery. Value-added Landsat data, typically in a 512 x 512 pixel subset, are supplied by this collection. The Forest Watch program has supplied the data subsets in this collection based on the schools involved with their activities.

Satellite data subsets may be searched by state or other category, and by spectral type. These images may be previewed through this system, ordered, and downloaded. Some historic Landsat 5 data subsets, which were acquired for this program, are also provided through this system. Landsat 5 subsets are multispectral data with 5 bands of data (TM bands 1-5). Landsat 7 subsets contain all bands of data and each subset has three spectral file types: 1) multispectral (ETM+ bands 1-5 and 7), 2) panchromatic (ETM+ band 8), and 3) Thermal (ETM+ band 6 high and low gain channels). Each spectral type must be ordered separately; this can be accomplished by choosing more than one spectral file type in your search parameters.

These image subsets are served in the ERDAS Imagine (.img) format, which can be opened by newer versions of the MultiSpec program (versions greater than Nov. 1999). The MultiSpec program can be downloaded via the Internet at: "http://dynamo.ecn.purdue.edu/%7Ebiehl/MultiSpec/"

A header file is provided with most Landsat 7 subsets giving the specifics of the image.

Please refer to the references to learn more about Forest Watch, Landsat, and the data this satellite acquires.

In the near future we hope to release a new Satellite Interface, which would allow a user to search for satellite data from a number of platforms based on user-selected search parameters and then sub-set the data and choose an appropriate output format.

If you have any other questions regarding our Forest Watch Satellite data holdings, please contact our User Services Personnel (support@eos-webster.sr.unh.edu).

Available Data Sets:

Many New England subsets are available, based on the location of participating schools in the Forest Watch program. Additional scenes are also included based on historical use within the Forest Watch program. Other scenes may be added in the future. If you don't see a scene of the location you are interested in, and that location is within New England, then please contact User Services (support@eos-webster.sr.unh.edu) to see if we can custom-create a subset for you.

Data Format

The data are currently held in EOS-WEBSTER in ERDAS Imagine (.img) format. This format is used by new versions of the MultiSpec program, and other image processing programs. Most of the subset scenes provided through this system have been projected to a Lambert Projection so that MultiSpec can display Latitude and Longitude values for each image cell (see "http://www.forestwatch.sr.unh.edu/online/" Using Mac MultiSpec to display Lat./Lon. Coordinates).

Data can be ordered by spectral type. For Landsat 7, three spectral types are available: 1) Multispectral (bands 1-5 & 7), 2) Panchromatic (pan), and 3) Thermal (bands 6 a&b) (see Table 2). The multispectral (ms) files contain six bands of data, the panchromatic (pan) files contains one band of data, and the thermal (therm) files contain two bands of data representing a high and low sensor gain.

A header file is provided for most Landsat 7 subsets which have been projected in the Lambert projection. This header file provides the necessary information for importing the data into MultiSpec for Latitude/Longitude display.

Marine surface data (ship observation, moored buoys, etc) are segregated from the GTS data stream at NCDC. The GTS records are encoded into IMMA format and collected into monthly files. The primary use of these data are input and cross-check referencing with other ICOADS data sources.