The dataset contains information about world's biggest companies.

Among them you can find companies founded in the US, the UK, Europe, Asia, South America, South Africa, Australia.

The dataset contains information about the year the company was founded, its' revenue and net income in years 2018 - 2020, and the industry.

I have included 2 csv files: the raw csv file if you want to practice cleaning the data, and the clean csv ready to be analyzed.

The third dataset includes the name of all the companies included in the previous datasets and 2 additional columns: number of employees and name of the founder.

In addition there's tesla.csv file containing shares prices for Tesla.

To create the dataset, the top 10 countries leading in the incidence of COVID-19 in the world were selected as of October 22, 2020 (on the eve of the second full of pandemics), which are presented in the Global 500 ranking for 2020: USA, India, Brazil, Russia, Spain, France and Mexico. For each of these countries, no more than 10 of the largest transnational corporations included in the Global 500 rating for 2020 and 2019 were selected separately. The arithmetic averages were calculated and the change (increase) in indicators such as profitability and profitability of enterprises, their ranking position (competitiveness), asset value and number of employees. The arithmetic mean values of these indicators for all countries of the sample were found, characterizing the situation in international entrepreneurship as a whole in the context of the COVID-19 crisis in 2020 on the eve of the second wave of the pandemic. The data is collected in a general Microsoft Excel table. Dataset is a unique database that combines COVID-19 statistics and entrepreneurship statistics. The dataset is flexible data that can be supplemented with data from other countries and newer statistics on the COVID-19 pandemic. Due to the fact that the data in the dataset are not ready-made numbers, but formulas, when adding and / or changing the values in the original table at the beginning of the dataset, most of the subsequent tables will be automatically recalculated and the graphs will be updated. This allows the dataset to be used not just as an array of data, but as an analytical tool for automating scientific research on the impact of the COVID-19 pandemic and crisis on international entrepreneurship. The dataset includes not only tabular data, but also charts that provide data visualization. The dataset contains not only actual, but also forecast data on morbidity and mortality from COVID-19 for the period of the second wave of the pandemic in 2020. The forecasts are presented in the form of a normal distribution of predicted values and the probability of their occurrence in practice. This allows for a broad scenario analysis of the impact of the COVID-19 pandemic and crisis on international entrepreneurship, substituting various predicted morbidity and mortality rates in risk assessment tables and obtaining automatically calculated consequences (changes) on the characteristics of international entrepreneurship. It is also possible to substitute the actual values identified in the process and following the results of the second wave of the pandemic to check the reliability of pre-made forecasts and conduct a plan-fact analysis. The dataset contains not only the numerical values of the initial and predicted values of the set of studied indicators, but also their qualitative interpretation, reflecting the presence and level of risks of a pandemic and COVID-19 crisis for international entrepreneurship.

At CompanyData.com (BoldData), we provide verified company data sourced directly from official trade registers. Our global IT company dataset gives you access to 6 million IT businesses worldwide, including software firms, tech consultancies, system integrators, SaaS providers, and other IT service companies. Every record is sourced from authoritative local registries, ensuring unmatched accuracy, coverage, and compliance.

This dataset is built for professionals who need reliable, structured insights into the global technology sector. Each company profile includes firmographic details such as legal entity name, registration number, business structure, size, revenue range, and industry classification (NACE/SIC). In addition, you'll find direct contact information for decision-makers—emails, mobile numbers, job titles, and department roles—helping you connect with the right people instantly.

Whether you're validating suppliers for compliance, identifying high-potential leads for sales, enriching your CRM data, or building AI models with clean and segmented business intelligence, our IT dataset is designed to support a wide range of critical use cases. From global enterprises to fast-scaling startups, our data empowers businesses to move faster and smarter.

We offer multiple delivery methods tailored to your needs. Choose from custom bulk files, access data through our self-service platform, integrate it directly into your systems via real-time API, or let us enrich your existing database with missing fields and decision-maker insights.

With a database spanning 380 million companies globally, deep IT sector segmentation, and proven expertise in sourcing from local trade registers, CompanyData.com (BoldData) helps your team identify opportunities, ensure compliance, and scale efficiently—wherever your growth takes you.

At CompanyData.com (BoldData), we provide verified, structured company data sourced directly from official trade registers. Our firmographic dataset of 380 million businesses worldwide gives you access to one of the most comprehensive and accurate B2B data sources on the market. Built for scale, it delivers a single, unified dataset covering companies across all industries and geographies—ideal for any business that relies on high-quality data to operate globally.

Each company profile is packed with essential firmographic fields, including legal name, registration number, industry classification (NACE/SIC), business size, revenue estimates, incorporation date, and group structure. We also include decision-maker contacts such as names, roles, email addresses, and mobile phone numbers, all verified at the source and regularly updated to maintain the highest accuracy standards.

This dataset is trusted by teams across compliance, risk, sales, marketing, data science, and analytics. Whether you’re conducting KYC/AML checks, building targeted B2B outreach, enriching your CRM systems, or training AI models, our data is ready to support your goals at any scale. Its structure and completeness make it easy to filter, integrate, and activate in virtually any system or workflow.

We deliver this global firmographic dataset through multiple channels: as tailored bulk files, via our self-service platform, through real-time API access, or using custom enrichment services to enhance your existing records. With trusted coverage of 380 million companies, expert data curation, and global delivery capabilities, CompanyData.com (BoldData) empowers you to act with confidence, wherever your business takes you.

This dataset provides values for SMALL BUSINESS SENTIMENT reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

KR: New Businesses Registered data was reported at 96,155.000 Number in 2016. This records an increase from the previous number of 93,768.000 Number for 2015. KR: New Businesses Registered data is updated yearly, averaging 65,110.000 Number from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 96,155.000 Number in 2016 and a record low of 50,289.000 Number in 2006. KR: New Businesses Registered data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Korea – Table KR.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations registered in the calendar year.; ; World Bank's Entrepreneurship Survey and database (http://www.doingbusiness.org/data/exploretopics/entrepreneurship).; ; For cross-country comparability, only limited liability corporations that operate in the formal sector are included.

The World Bank Enterprise Surveys (WBES) are nationally representative firm-level surveys with top managers and owners of businesses in over 150 economies that provide insight into many business environment topics such as access to finance, corruption, infrastructure, and performance, among others. Data are used to create over 100 indicators that benchmark the business environment across the globe. Each country is surveyed every 3 years. In addition to country-level aggregated data, firm-level data are available to registered users on the Enterprise Surveys site at http://www.enterprisesurveys.org/.

Details on the methodology are available at https://www.enterprisesurveys.org/en/methodology

The 2014 London Business Survey (LBS) is an innovative survey designed by the Office for National Statistics, on behalf of the London Enterprise Panel and the GLA. The survey collected information from a representative sample of private sector businesses in London in May-July 2014. This dataset contains information on the sales and purchases, and exporting and importing behaviour of London businesses corresponding with Section 5 of the London Business Survey 2014: Main Findings report. Information is provided on: The value of goods and service traded London businesses with sales to London, the rest of the UK, elsewhere in Europe and the rest of the world London businesses with purchases from London, the rest of the UK, elsewhere in Europe and the rest of the world The average proportion of sales to, and purchases from, specified locations As with any survey, the 2014 LBS is based on a sample and as such is subject to variability in the results. Care should therefore be taken in interpreting the survey findings. For all estimates, lower and upper limits of 95% confidence intervals are provided in the data files to assist with interpretation. The LBS results represent the population of business units in London. A business unit is defined as a site/workplace, which may also be a head office if the head office is in London. It will be the whole business in the case of businesses which only have one site, or part of the business in the case of multi-site firms. The results are presented by enterprise size band and industry sector.

Small Business Development Centers (SBDCs) provide assistance to small businesses and aspiring entrepreneurs throughout the United States and its territories. SBDCs help entrepreneurs realize the dream of business ownership and help existing businesses remain competitive in a complex, ever-changing global marketplace. SBDCs are hosted by leading universities and state economic development agencies, and funded in part through a partnership with SBA.

The Google Maps dataset is ideal for getting extensive information on businesses anywhere in the world. Easily filter by location, business type, and other factors to get the exact data you need. The Google Maps dataset includes all major data points: timestamp, name, category, address, description, open website, phone number, open_hours, open_hours_updated, reviews_count, rating, main_image, reviews, url, lat, lon, place_id, country, and more.

The World Development Indicators (WDI) database, published by the World Bank, is a comprehensive collection of global development data, providing key economic, social, and environmental statistics. It includes almost 1,500 indicators covering more than 200 countries and territories, with data spanning several decades.

WDI serves as a vital resource for policymakers, researchers, businesses, and analysts seeking to understand global trends and make data-driven decisions. The database covers a wide range of topics, including economic growth, education, health, poverty, trade, energy, infrastructure, governance, and environmental sustainability.

The indicators are sourced from reputable national and international agencies, ensuring high-quality, consistent, and comparable data. Users can access the database through interactive online tools, API services, and downloadable datasets, facilitating detailed analysis and visualization.

WDI is also used for tracking progress on the Sustainable Development Goals (SDGs) and other global development initiatives. By providing accessible and reliable statistics, it helps to inform policy discussions and strategies globally.

Whether for academic research, policy planning, or economic analysis, the World Development Indicators database is an essential tool for understanding and addressing global development challenges.

Content

The Data on Statistical Capacity website provides information on various aspects of national statistical systems of developing countries, including a country-level statistical capacity indicator.

Context

This is a dataset hosted by the World Bank. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore the World Bank using Kaggle and all of the data sources available through the World Bank organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using the World Bank's APIs and Kaggle's API.

Cover photo by Etienne Gobeli on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

This paper analyzes the relationship between the relative size of the small and medium enterprise (SME) Sector and the business environment in 76 countries. The paper first describes a new and unique cross-country database that presents consistent and comparable information on the contribution of the SME sector to total employment in manufacturing and GDP across different countries. We then relate the importance of SMEs and the informal economy to indicators of different dimensions of the business environment. We find that several dimensions of the business environment, such as lower costs of entry and better credit information sharing are associated with a larger size of the SME sector, while higher exit costs are associated with a larger informal economy.

Women's Business Centers (WBCs) represent a national network of nearly 100 educational centers throughout the United States and its territories, which are designed to assist women in starting and growing small businesses. WBCs seek to "level the playing field" for women entrepreneurs, who still face unique obstacles in the business world. SBA’s Office of Women’s Business Ownership (OWBO) oversees the WBC network, which provides entrepreneurs (especially women who are economically or socially disadvantaged) comprehensive training and counseling on a variety of topics in several languages

The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027.

What is Big data?

Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. 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.

Big data analytics

Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

Key Features of Success.ai's Company Financial Data:

Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

Why Choose Success.ai for Company Financial Data?

Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

Comprehensive Use Cases for Financial Data:

1. Strategic Financial Planning:

Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

1. Mergers and Acquisitions (M&A):

Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

1. Investment Analysis:

Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

1. Lead Generation and Sales:

Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

1. Market Research:

Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

APIs to Power Your Financial Strategies:

Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

Tailored Solutions for Industry Professionals:

Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

What Sets Success.ai Apart?

Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

Ethical Practices: Our data collection and processing methods are fully comp...

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset hosted by the World Bank. The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore the World Bank using Kaggle and all of the data sources available through the World Bank organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using the World Bank's APIs and Kaggle's API.

Cover photo by Markus Spiske on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

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.

Quick-Ratio Time Series for Global Business Travel Group Inc. Global Business Travel Group, Inc. provides business-to-business (B2B) travel platform in the United States, the United Kingdom, and internationally. The company's platform provides a suite of technology-enabled solutions to business travelers and clients; travel content suppliers, such as airlines, hotels, ground transportation providers, and aggregators; and third-party travel agencies. It also offers consulting, meetings and events planning, and outsourced services; and manages end-to-end logistics of business travel, as well as provides a link between businesses and their employees, travel suppliers, and other industry participants. In addition, the company provides Amex GBT Egencia, a digital travel platform; Amex GBT Neo1, an online spend management platform to manage business expenses, including travel; Amex GBT Neo, a customizable global travel platform; Amex GBT Select, a flexible solution to give insights and control across their travel spend; and Amex GBT Ovation, a touch travel solution and personalized corporate travel servicing platform. Global Business Travel Group, Inc. was founded in 2014 and is based in New York, New York.

Open Source Database Market Outlook

The global open source database market size was valued at approximately USD 15.5 billion in 2023 and is projected to reach around USD 40.6 billion by 2032, expanding at a compound annual growth rate (CAGR) of 11.5% during the forecast period. The growth of this market is primarily driven by the increasing adoption of open-source databases by both SMEs and large enterprises due to their cost-effectiveness and flexibility.

A significant growth factor for the open source database market is the rising demand for data analytics and business intelligence across various industries. Organizations are increasingly leveraging big data to gain actionable insights, enhance decision-making processes, and improve operational efficiency. Open source databases provide the scalability and performance required to handle large volumes of data, making them an attractive option for businesses looking to maximize their data-driven strategies. Additionally, the continuous advancements and contributions from the open-source community help in keeping these databases at the cutting edge of technology.

Another driving factor is the cost-efficiency associated with open-source databases. Unlike proprietary databases, which can be expensive due to licensing fees, open-source databases are usually free to use, offering a significant cost advantage. This factor is especially crucial for small and medium enterprises (SMEs), which often operate with limited budgets. The lower total cost of ownership, combined with the flexibility to customize the database according to specific needs, makes open-source solutions highly appealing for businesses of all sizes.

The increasing trend of digital transformation is also playing a crucial role in the growth of the open source database market. As businesses across various sectors accelerate their digital initiatives, the need for robust, scalable, and efficient data management solutions becomes paramount. Open-source databases provide the agility and innovation that organizations require to keep up with the rapidly changing digital landscape. Moreover, the support for cloud deployment further enhances their appeal, providing businesses with the scalability and flexibility needed to adapt to evolving technological demands.

From a regional perspective, North America holds a significant share in the open source database market, driven by the presence of major technology companies and a highly developed IT infrastructure. The region's focus on technological innovation and early adoption of advanced technologies contributes to its dominant position. Europe follows closely, with increasing investments in digital transformation initiatives. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, fueled by rapid technological advancements, a burgeoning IT sector, and increased adoption of open-source solutions by businesses.

Relational Databases Software plays a crucial role in the open-source database market, offering structured data management solutions that are essential for various business applications. These databases are known for their ability to handle complex queries and transactions, making them ideal for industries that require high levels of data integrity and consistency. The flexibility and robustness of relational databases software allow organizations to efficiently manage large volumes of structured data, which is critical for applications such as financial systems, enterprise resource planning, and customer relationship management. As businesses continue to prioritize data-driven decision-making, the demand for relational databases software is expected to grow, further driving the expansion of the open-source database market.

Database Type Analysis

The open source database market is segmented into SQL, NoSQL, and NewSQL databases. SQL databases are the most widely used and have been the backbone of data management for decades. They offer robust transaction management and are ideal for structured data storage and retrieval. The ongoing improvements in SQL databases, such as enhanced performance and security features, continue to make them a preferred choice for many organizations. Additionally, the availability of various SQL-based open-source solutions like MySQL, PostgreSQL, and MariaDB provides organizations with reliable options to manage their data effectively.

NoSQL databases are gainin