The global big data and business analytics (BDA) market was valued at 168.8 billion U.S. dollars in 2018 and is forecast to grow to 215.7 billion U.S. dollars by 2021. In 2021, more than half of BDA spending will go towards services. IT services is projected to make up around 85 billion U.S. dollars, and business services will account for the remainder. Big data High volume, high velocity and high variety: one or more of these characteristics is used to define big data, the kind of data sets that are too large or too complex for traditional data processing applications. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets. For example, connected IoT devices are projected to generate 79.4 ZBs of data in 2025. Business analytics Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate business insights. The size of the business intelligence and analytics software application market is forecast to reach around 16.5 billion U.S. dollars in 2022. Growth in this market is driven by a focus on digital transformation, a demand for data visualization dashboards, and an increased adoption of cloud.

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United States - Total Business Sales was 1733841.00000 Mil. of $ in February of 2025, according to the United States Federal Reserve. Historically, United States - Total Business Sales reached a record high of 1974148.00000 in December of 2024 and a record low of 478951.00000 in January of 1992. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total Business Sales - last updated from the United States Federal Reserve on July of 2025.

Small business transactions and revenue data aggregated from several credit card processors, collected by Womply and compiled by Opportunity Insights. Transactions and revenue are reported based on the ZIP code where the business is located.

Data provided for CT (FIPS code 9), MA (25), NJ (34), NY (36), and RI (44).

Data notes from Opportunity Insights: Seasonally adjusted change since January 2020. Data is indexed in 2019 and 2020 as the change relative to the January index period. We then seasonally adjust by dividing year-over-year, which represents the difference between the change since January observed in 2020 compared to the change since January observed since 2019. We account for differences in the dates of federal holidays between 2019 and 2020 by shifting the 2019 reference data to align the holidays before performing the year-over-year division.

Small businesses are defined as those with annual revenue below the Small Business Administration’s thresholds. Thresholds vary by 6 digit NAICS code ranging from a maximum number of employees between 100 to 1500 to be considered a small business depending on the industry.

County-level and metro-level data and breakdowns by High/Middle/Low income ZIP codes have been temporarily removed since the August 21st 2020 update due to revisions in the structure of the raw data we receive. We hope to add them back to the OI Economic Tracker soon.

More detailed documentation on Opportunity Insights data can be found here: https://github.com/OpportunityInsights/EconomicTracker/blob/main/docs/oi_tracker_data_documentation.pdf

App Revenue Key StatisticsMobile Ad SpendApp and Game RevenuesiOS App and Game RevenueGoogle Play App and Game RevenueGaming App RevenuesiOS Gaming App RevenueGoogle Play Gaming App RevenueApp...

In 2024, Meta Platforms generated a revenue of over 164 billion U.S. dollars, up from 134 billion USD in 2023. The majority of Meta’s profits come from its advertising revenue.Meta’s total Family of Apps revenue for 2022 amounted to 114 billion U.S. dollars. Additionally, Meta’s Reality Labs, the company’s VR division, generated around 2.1 billion dollars. Meta’s marketing expenditure for 2022 amounted to just over 15 billion U.S. dollars, up from 14 billion U.S. dollars in the previous year. Increasing audience base despite privacy misgivings Meta’s user numbers have continued to grow steadily throughout past years. In the fourth quarter of 2022, there was a total of 3.74 billion worldwide users across all of Meta’s platforms. For this same time frame, the company recorded 407 million monthly active users across Europe. Downloads of Meta’s app Oculus, for which virtual reality headsets are required, increased greatly from 2020 to 2021, reaching a total of 10.62 million downloads by the end of last year. Up until 2021, downloads had grown in a steady manner but from 2020 to 2021, they more than doubled.User numbers have increased despite data security issues and past controversy such as the Cambridge Analytica scandal in 2018. There remains skepticism surrounding the idea of the metaverse in which Meta aims to immerse itself. Of surveyed adults in the United States, the majority said that they were concerned about their privacy if Meta were to succeed in creating the metaverse.

China Listed Company: Net Profit: Financial data was reported at 2,421.360 RMB bn in 2023. This records an increase from the previous number of 2,385.699 RMB bn for 2022. China Listed Company: Net Profit: Financial data is updated yearly, averaging 1,168.013 RMB bn from Dec 2001 (Median) to 2023, with 22 observations. The data reached an all-time high of 2,421.360 RMB bn in 2023 and a record low of 1.967 RMB bn in 2001. China Listed Company: Net Profit: Financial data remains active status in CEIC and is reported by China Securities Regulatory Commission. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OZ: Financial Data of Listed Company: Net Profit.

Corporate Profits in the United States decreased to 3203.60 USD Billion in the first quarter of 2025 from 3312 USD Billion in the fourth quarter of 2024. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

India IT Industry Revenue: USD: Domestic data was reported at 41.000 USD bn in 2019. This stayed constant from the previous number of 41.000 USD bn for 2018. India IT Industry Revenue: USD: Domestic data is updated yearly, averaging 20.380 USD bn from Mar 1997 (Median) to 2019, with 23 observations. The data reached an all-time high of 48.000 USD bn in 2015 and a record low of 2.661 USD bn in 1997. India IT Industry Revenue: USD: Domestic data remains active status in CEIC and is reported by National Association of Software and Service Companies. The data is categorized under Global Database’s India – Table IN.TF007: Information Technology Statistics: National Association of Software and Service Company: IT-BPM: Domestic Revenue.

Graph and download economic data for Total Revenue for Credit Card Issuing, All Establishments, Employer Firms (REVEF52221ALLEST) from 2009 to 2022 about issues, finance companies, employer firms, credit cards, accounting, companies, revenue, finance, establishments, financial, services, and USA.

China Listed Company: Total Revenue: Media data was reported at 226.883 RMB bn in 2023. This records an increase from the previous number of 206.549 RMB bn for 2022. China Listed Company: Total Revenue: Media data is updated yearly, averaging 181.088 RMB bn from Dec 2012 (Median) to 2023, with 12 observations. The data reached an all-time high of 226.883 RMB bn in 2023 and a record low of 53.511 RMB bn in 2012. China Listed Company: Total Revenue: Media data remains active status in CEIC and is reported by China Securities Regulatory Commission. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OZ: Financial Data of Listed Company: Total Revenue.

Analysis of ‘Womply State-level Business Revenue’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/de408fa1-0d08-420d-b877-2109891047d9 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Small business transactions and revenue data aggregated from several credit card processors, collected by Womply and compiled by Opportunity Insights. Transactions and revenue are reported based on the ZIP code where the business is located.

Data provided for CT (FIPS code 9), MA (25), NJ (34), NY (36), and RI (44).

Data notes from Opportunity Insights: Seasonally adjusted change since January 2020. Data is indexed in 2019 and 2020 as the change relative to the January index period. We then seasonally adjust by dividing year-over-year, which represents the difference between the change since January observed in 2020 compared to the change since January observed since 2019. We account for differences in the dates of federal holidays between 2019 and 2020 by shifting the 2019 reference data to align the holidays before performing the year-over-year division.

Small businesses are defined as those with annual revenue below the Small Business Administration’s thresholds. Thresholds vary by 6 digit NAICS code ranging from a maximum number of employees between 100 to 1500 to be considered a small business depending on the industry.

County-level and metro-level data and breakdowns by High/Middle/Low income ZIP codes have been temporarily removed since the August 21st 2020 update due to revisions in the structure of the raw data we receive. We hope to add them back to the OI Economic Tracker soon.

More detailed documentation on Opportunity Insights data can be found here: https://github.com/OpportunityInsights/EconomicTracker/blob/main/docs/oi_tracker_data_documentation.pdf

--- Original source retains full ownership of the source dataset ---

Graph and download economic data for Quarterly Financial Report: U.S. Corporations: All Manufacturing: Net Sales, Receipts, and Operating Revenues (QFR101MFGUSNO) from Q4 2000 to Q1 2025 about operating, receipts, revenue, finance, corporate, Net, sales, manufacturing, industry, and USA.

China Listed Company: Total Revenue: Conglomerate data was reported at 54.351 RMB bn in 2023. This records a decrease from the previous number of 67.560 RMB bn for 2022. China Listed Company: Total Revenue: Conglomerate data is updated yearly, averaging 39.343 RMB bn from Dec 2012 (Median) to 2023, with 12 observations. The data reached an all-time high of 67.560 RMB bn in 2022 and a record low of 24.044 RMB bn in 2012. China Listed Company: Total Revenue: Conglomerate data remains active status in CEIC and is reported by China Securities Regulatory Commission. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OZ: Financial Data of Listed Company: Total Revenue.

In 2023, software and tech hosting/cloud services/MSP companies had a much higher spending share on IT than other industries, amounting to ** percent and ** percent of their revenues, respectively. By contrast, the consumer products and services industry invested only around **** percent of their revenue in IT. Overall, all industries increased their IT spending per revenue share in 2023 compared to the previous year. Cloud computing Cloud computing is an essential IT service that utilizes a network of distant servers hosted over the Internet to store, handle, and process data. This segment of IT services was projected to generate revenues exceeding *** billion U.S. dollars in 2024 and is expected to continue its rapid growth trajectory. Managed Services Providers (MSPs) provide companies with the expertise and technical support to manage their cloud infrastructure and products without the need for in-house specialists. Cloud computing is segmented into three main categories. Software as a Service (SaaS) delivers software applications over the Internet, on a subscription basis, freeing companies from software and hardware management. Infrastructure as a Service (IaaS) offers a virtualized computing infrastructure managed over the Internet, allowing businesses to avoid the costs and complexities of purchasing and managing physical servers and data center infrastructure. Platform as a Service (PaaS) provides a platform allowing customers to develop, run, and manage applications without the complexity of building and maintaining the infrastructure.

The Business Structure Database (BSD) contains a small number of variables for almost all business organisations in the UK. The BSD is derived primarily from the Inter-Departmental Business Register (IDBR), which is a live register of data collected by HM Revenue and Customs via VAT and Pay As You Earn (PAYE) records. The IDBR data are complimented with data from ONS business surveys. If a business is liable for VAT (turnover exceeds the VAT threshold) and/or has at least one member of staff registered for the PAYE tax collection system, then the business will appear on the IDBR (and hence in the BSD). In 2004 it was estimated that the businesses listed on the IDBR accounted for almost 99 per cent of economic activity in the UK. Only very small businesses, such as the self-employed were not found on the IDBR.

The IDBR is frequently updated, and contains confidential information that cannot be accessed by non-civil servants without special permission. However, the ONS Virtual Micro-data Laboratory (VML) created and developed the BSD, which is a 'snapshot' in time of the IDBR, in order to provide a version of the IDBR for research use, taking full account of changes in ownership and restructuring of businesses. The 'snapshot' is taken around April, and the captured point-in-time data are supplied to the VML by the following September. The reporting period is generally the financial year. For example, the 2000 BSD file is produced in September 2000, using data captured from the IDBR in April 2000. The data will reflect the financial year of April 1999 to March 2000. However, the ONS may, during this time, update the IDBR with data on companies from its own business surveys, such as the Annual Business Survey (SN 7451).

The data are divided into 'enterprises' and 'local units'. An enterprise is the overall business organisation. A local unit is a 'plant', such as a factory, shop, branch, etc. In some cases, an enterprise will only have one local unit, and in other cases (such as a bank or supermarket), an enterprise will own many local units.

For each company, data are available on employment, turnover, foreign ownership, and industrial activity based on Standard Industrial Classification (SIC)92, SIC 2003 or SIC 2007. Year of 'birth' (company start-up date) and 'death' (termination date) are also included, as well as postcodes for both enterprises and their local units. Previously only pseudo-anonymised postcodes were available but now all postcodes are real.

The ONS is continually developing the BSD, and so researchers are strongly recommended to read all documentation pertaining to this dataset before using the data.

Linking to Other Business Studies
These data contain IDBR reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

Latest Edition Information
For the sixteenth edition (March 2024), data files and a variable catalogue document for 2023 have been added.

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China Chain: Restaurant: Business Revenue data was reported at 100.450 RMB bn in 2023. This records an increase from the previous number of 67.460 RMB bn for 2022. China Chain: Restaurant: Business Revenue data is updated yearly, averaging 45.550 RMB bn from Dec 2003 (Median) to 2023, with 21 observations. The data reached an all-time high of 100.450 RMB bn in 2023 and a record low of 13.791 RMB bn in 2003. China Chain: Restaurant: Business Revenue data remains active status in CEIC and is reported by Ministry of Commerce, China General Chamber of Commerce. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.CCAB: Restaurant.

In 2023, Rackspace Technology Inc. generated 2.95 billion U.S. dollars in revenues. Rackspace is a managed cloud computing company from America that offers services to help businesses optimize their public cloud deployments on Microsoft Azure or Amazon Web Services (AWS), for example.

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal EUR includes consumer transaction data on 6.7M+ credit cards, debit cards, direct debit accounts, and direct transfer accounts, including 5.3M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 5K+ merchants, 3K+ brands mapped to 600 global parent companies (500 publicly traded), and deep geographic breakouts with demographic breakouts coming soon for UK. Brick & mortar , and ecommerce direct-to-consumer sales are recorded on transaction date and purchase data is available for most companies as early as 5 days post-swipe.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

Public and private investors can leverage insights from CE’s synthetic data to assess consensus estimates and investment opportunities, while consumer marketing and retailers can gain visibility into transaction data’s potential for competitive analysis, shopper behavior, and consumer insights.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details