In 2024, the power supply capacity of commercial data centers in South Korea was estimated to be around *** megawatts. This figure was estimated to more than double by 2027.

Comprehensive dataset of 8 Shared-use commercial kitchens in Hawaii, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Egypt Electricity Consumption: Commercial and Domestic: Commercial data was reported at 778.000 kWh mn in Jun 2018. This records an increase from the previous number of 630.000 kWh mn for May 2018. Egypt Electricity Consumption: Commercial and Domestic: Commercial data is updated monthly, averaging 272.000 kWh mn from Jul 2001 (Median) to Jun 2018, with 204 observations. The data reached an all-time high of 880.000 kWh mn in Sep 2017 and a record low of 132.000 kWh mn in Apr 2002. Egypt Electricity Consumption: Commercial and Domestic: Commercial data remains active status in CEIC and is reported by Ministry of Electricity and Energy. The data is categorized under Global Database’s Egypt – Table EG.RB004: Electricity Consumption.

InfoGroup’s Historical Business Backfile consists of geo-coded records of millions of US businesses and other organizations that contain basic information on each entity, such as: contact information, industry description, annual revenues, number of employees, year established, and other data. Each annual file consists of a “snapshot” of InfoGroup’s data as of the last day of each year, creating a time series of data 1997-2019. Access is restricted to current Harvard University community members. Use of Infogroup US Historical Business Data is subject to the terms and conditions of a license agreement (effective March 16, 2016) between Harvard and Infogroup Inc. and subject to applicable laws. Most data files are available in either .csv or .sas format. All data files are compressed into an archive in .gz, or GZIP, format. Extraction software such as 7-Zip is required to unzip these archives.

This statistic shows the types of data that organizations protect by using data backups worldwide as of 2019. Around ** percent of respondents stated that they used backups to protect their business' databases, while only ** percent stated that they used backups to protect their SaaS data.

Comprehensive dataset of 2 Shared-use commercial kitchens in Kansas, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The global business data visualization tools market size was valued at USD 6.0 billion in 2025 and is projected to grow from USD 7.3 billion in 2026 to USD 19.5 billion by 2033, exhibiting a CAGR of 13.4% during the forecast period. The growing need for data-driven decision-making, increasing adoption of cloud-based solutions, and advancements in artificial intelligence (AI) and machine learning (ML) technologies are the primary factors driving the market growth. North America is expected to dominate the market throughout the forecast period due to the presence of a large number of established vendors and early adoption of advanced technologies. Asia Pacific is projected to grow at the highest CAGR during the forecast period, owing to the increasing adoption of data visualization tools in emerging economies, such as China and India. Key players in the market include Microsoft, Tableau (Salesforce), IBM, MicroStrategy, Oracle America, TIBCO Software, Domo, SAP, QlikTech, and SAS Institute.

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Business Information Market Size 2025-2029

The business information market size is forecast to increase by USD 79.6 billion, at a CAGR of 7.3% between 2024 and 2029.

The market is characterized by the increasing demand for customer-centric solutions as enterprises adapt to evolving customer preferences. This shift necessitates the provision of real-time, accurate, and actionable insights to facilitate informed decision-making. However, this market landscape is not without challenges. The threat of data misappropriation and theft looms large, necessitating robust security measures to safeguard sensitive business information. As businesses continue to digitize their operations and rely on external data sources, ensuring data security becomes a critical success factor. Companies must invest in advanced security technologies and implement stringent data protection policies to mitigate these risks. Navigating this complex market requires a strategic approach that balances the need for customer-centric solutions with the imperative to secure valuable business data.

What will be the Size of the Business Information 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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In today's data-driven business landscape, the continuous and evolving nature of market dynamics plays a pivotal role in shaping various sectors. Data integration solutions enable seamless data flow between different systems, enhancing cloud-based business applications' functionality. Data quality management ensures data accuracy and consistency, crucial for strategic planning and customer segmentation. Data infrastructure, data warehousing, and data pipelines form the backbone of business intelligence, facilitating data storytelling and digital transformation. Data lineage and data mining reveal valuable insights, fueling data analytics platforms and business intelligence infrastructure. Data privacy regulations necessitate robust data management tools, ensuring compliance and protecting sensitive information.

Sales forecasting and business intelligence consulting offer valuable industry analysis and data-driven decision making. Data governance frameworks and data cataloging maintain order and ethics in the vast expanse of big data analytics. Machine learning algorithms, predictive analytics, and real-time analytics drive business intelligence reporting and process modeling, leading to business process optimization and financial reporting software. Sentiment analysis and marketing automation cater to customer needs, while lead generation and data ethics ensure ethical business practices. The ongoing unfolding of market activities and evolving patterns necessitate the integration of various tools and frameworks, creating a dynamic interplay that fuels business growth and innovation.

How is this Business Information Industry segmented?

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

End-user

  BFSI
  Healthcare and life sciences
  Manufacturing
  Retail
  Others


Application

  B2B
  B2C


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW). 

By End-user Insights

The bfsi segment is estimated to witness significant growth during the forecast period.

In the dynamic business landscape, data-driven insights have become essential for strategic planning and decision-making across various industries. The market caters to this demand by offering solutions that integrate and manage data from multiple sources. These include cloud-based business applications, data quality management tools, data warehousing, data pipelines, and data analytics platforms. Data storytelling and digital transformation are key trends driving the market's growth, enabling businesses to derive meaningful insights from their data. Data governance frameworks and policies are crucial components of the business intelligence infrastructure. Data privacy regulations, such as GDPR and HIPAA, are shaping the market's development.

Data mining, predictive analytics, and machine learning algorithms are increasingly being used for sales forecasting, customer segmentation, and churn prediction. Business intelligence consulting and industry analysis provide valuable insights for organizations seeking competitive advantage. Data visualization dashboards, market research databases, and data discovery tools facilitate data-driven decision making. Sentiment analysis and predictive analytics are essential for marketing automation and business

With 1.8 Million Businesses in Sweden , Techsalerator has access to the highest B2B count of Data/Business Data in the country. .

Thanks to our unique tools and large data specialist team, we can select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

Techsalerator covers all regions and cities in the country :

Blekinge Karlskrona Dalarna Borlänge Falun Gävleborg/Gavleborg Gävle/Gavle Gotland Visby Halland Halmstad Jämtland Östersund/Osterund Jönköping/Jonkoping Jönköping Kalmar Kalmar Kronoberg Växjö/Vaxjo Norrbotten Kiruna Luleå Örebro/Orebro Örebro Östergötland/Ostergotland Linköping/Linkoping Norrköping/Norrkoping Skåne/Skane Helsingborg Kristianstad Landskrona Lund Malmö/Malmo Trelleborg Södermanland/ Sodermanland Eskilstuna Nyköping/ Nykoping Stockholm Södertälje/ Sodertalje Solna Stockholm Uppsala Uppsala Värmland/ Varmland Karlstad Västerbotten/ Vasterbotten Umeå/ Umea Västernorrland/ Vasternorrland Sundsvall Västmanland/ Vastmanland Västerås/ Vasteras Västra Götaland/ Vastra Gotaland Borås/ Boras Gothenburg Lidköping/ Lidkoping Skara

United States Delinquency Rate: sa: Real Estate: Commercial data was reported at 0.720 % in Jun 2018. This records a decrease from the previous number of 0.740 % for Mar 2018. United States Delinquency Rate: sa: Real Estate: Commercial data is updated quarterly, averaging 2.070 % from Mar 1991 (Median) to Jun 2018, with 110 observations. The data reached an all-time high of 11.990 % in Mar 1991 and a record low of 0.720 % in Jun 2018. United States Delinquency Rate: sa: Real Estate: Commercial data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KB002: Commercial Banks: Charge Off and Delinquency Rates.

Comprehensive dataset of 10 Shared-use commercial kitchens in Missouri, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Abstract

The L2 Consumer Dataset contains information about consumers from all 50 states and the District of Columbia. The data, which is sourced from credit bureaus and other consumer information sources, is generally bought and used by companies for marketing purposes. Updates are expected quarterly.

All tables (except for New Jersey) were last updated on 03-25-2024. New Jersey was updated on 05-11-2024, when about 25,000 records were removed to comply with Daniel's Law.

Methodology

To create this file, L2 processes nationwide consumer data on an ongoing basis for all 50 states and the District of Columbia with refreshes typically at least every ninety days. The data are sourced from credit bureaus and other consumer information sources. Those data are standardized and consist of approximately 240,000,000 records nationwide.

Usage

Each table contains 667 variables. For more information about these variables, see ***2024-04-20-Commercial-Data-Dictionary.xlsx ***(under Supporting files).

The L2 Consumer and L2 Voter and Demographic data can be joined on the Lalvoterid variable.

One can also use the Lalvoterid variable to validate the state. For example, let's look at the Lalvoterid for one row in the CA-Commercial-2024-03-25 table. The characters in the fourth and fifth positions of this identifier, LALCA25840445, are 'CA' (California).

The date appended to each table name represents when the data was last updated. All tables (except for New Jersey) were last updated on 03-25-2024. New Jersey was updated on 05-11-2024 when about 25,000 records were removed to comply with Daniel's Law. For more information about this release, see 2024-03-27-Commercial-Data-Release-Notes.docx* *(under Supporting files).

Bulk Data Access

Data access is required to view this section.

DataMapping Tool

Data access is required to view this section.

Comprehensive dataset of 39 Commercial agents in Poland as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

United States Charge Off Rate: sa: 100 Largest Banks: Real Estate: Commercial data was reported at 0.000 % in Mar 2018. This records a decrease from the previous number of 0.010 % for Dec 2017. United States Charge Off Rate: sa: 100 Largest Banks: Real Estate: Commercial data is updated quarterly, averaging 0.130 % from Mar 1991 (Median) to Mar 2018, with 109 observations. The data reached an all-time high of 4.420 % in Sep 1992 and a record low of -0.070 % in Jun 1998. United States Charge Off Rate: sa: 100 Largest Banks: Real Estate: Commercial data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KA010: Commercial Banks: Charge Off and Delinquency Rates.

Leverage high-quality B2B data with 468 enriched attributes, covering firmographics, financial stability, and industry classifications. Our AI-optimized dataset ensures accuracy through advanced deduplication and continuous updates. With 30+ years of expertise and 1,100+ trusted sources, we provide fully compliant, structured business data to power lead generation, risk assessment, CRM enrichment, market research, and more.

Key use cases of B2B Data have helped our customers in several areas :

1. Boost Lead Generation & Sales Outreach : Target the right businesses with precise, segmented contact lists for cold calling, email marketing, and industry-specific campaigns.
2. Enhance CRM & Web Data for Smarter Engagement : Enrich CRM records with instant access to detailed company profiles, visitor identification, and continuous data updates.
3. Strengthen Risk Assessment & Fraud Prevention : Evaluate supplier reliability, assess credit risk, and prevent fraud with deep firmographic and financial insights.
4. Gain a Competitive Edge with Market Research : Analyse industry trends, benchmark competitors, and identify automation-ready sectors for strategic positioning.
5. Optimize B2B Strategies with AI-Powered Insights : Leverage structured, compliant data to drive smarter business decisions across sales, marketing, and operations.

United States Delinquency Rate: 100 Largest Banks: Real Estate: Commercial data was reported at 0.660 % in Mar 2018. This records an increase from the previous number of 0.640 % for Dec 2017. United States Delinquency Rate: 100 Largest Banks: Real Estate: Commercial data is updated quarterly, averaging 2.240 % from Mar 1991 (Median) to Mar 2018, with 109 observations. The data reached an all-time high of 17.840 % in Mar 1991 and a record low of 0.630 % in Jun 2017. United States Delinquency Rate: 100 Largest Banks: Real Estate: Commercial data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KA010: Commercial Banks: Charge Off and Delinquency Rates.

With 1.9 Million Businesses in Hong Kong , Techsalerator has access to the highest B2B count of Data/Business Data in the country. .

Thanks to our unique tools and large data specialist team, we can select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

We cover all regions and cities in Hong Kong : ( example) Kowloon Northern Hong Kong Island Tsuen Wan New Town Sha Tin New Town Tuen Mun New Town Tseung Kwan O New Town Aberdeen Tai Po New Town Tin Shui Wai New Town Fanling-Sheung Shui New Town Yuen Long New Town North Lantau New Town

Comprehensive dataset of 115 Commercial refrigerations in State of Sergipe, Brazil as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Brazil Energy: Consumption: Commercial data was reported at 10,108.926 TOE th in 2023. This records an increase from the previous number of 9,330.162 TOE th for 2022. Brazil Energy: Consumption: Commercial data is updated yearly, averaging 3,857.854 TOE th from Dec 1970 (Median) to 2023, with 54 observations. The data reached an all-time high of 10,108.926 TOE th in 2023 and a record low of 849.831 TOE th in 1970. Brazil Energy: Consumption: Commercial data remains active status in CEIC and is reported by Ministry of Mining and Energy. The data is categorized under Global Database’s Brazil – Table BR.RBC003: Energy Consumption: by User.