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...

At CompanyData.com (BoldData), we provide access to one of the most extensive and accurate private company databases in the world. With over 380 million verified private companies, our data is sourced directly from official trade registers, chambers of commerce, and government publications across 200+ countries. Whether you're a global enterprise or a specialized research team, we equip you with the company-level insights needed to make smarter decisions.

The BoldData Private Company Database includes detailed firmographic profiles, corporate hierarchies, ownership structures, executive contact details, direct emails, mobile phone numbers, and industry classifications. Every record is meticulously verified for accuracy and continuously updated, ensuring that your compliance checks, CRM enrichment, and outreach efforts are built on trustworthy foundations.

Organizations rely on our data for a wide range of strategic and operational use cases—KYC and AML compliance, global B2B marketing, sales targeting, AI training datasets, and automated lead generation. Whether you're identifying new partners, scoring leads, or powering intelligent applications, our dataset offers depth, scale, and accuracy.

We offer flexible delivery formats tailored to your needs, including bulk data files, on-demand access via our self-service platform, real-time API integration, and enrichment services to complete and cleanse your internal databases. Backed by our global expertise and commitment to data quality, CompanyData.com (BoldData) is your trusted partner for navigating and unlocking the full potential of the global private business landscape.

Our custom group structures data / conmpany owners ship data show you what companies do, how they’re performing, financial data, legal entity details, the people that run them, corporate structures and ownership. BoldData is the world’s market leader in custom-made datasets with company information. Our Company Ownership Structure Data is the backbone for other data companies, analytical companies, investors and end users.

Our comprehensive and advanced database is completed with all the information you need, with up to >1.5 million company financial records at your disposal. This allows you to easily perform company search on company profile and company directory, with 99% coverage in Malaysia.

Our database also contains company profiles on private limited or limited companies globally, including information such as shareholders and financial accounts can be accessed instantly.

Comprehensive dataset of 1,505 Private equity firms in 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.

Comprehensive dataset of 52 Private equity firms in Colorado, 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.

Database Private Cloud Market Outlook

The global database private cloud market size was valued at USD 12.5 billion in 2023 and is projected to reach USD 38.2 billion by 2032, growing at a CAGR of 13.2% during the forecast period. The rapid growth in cloud adoption, driven by the need for scalable and flexible database solutions, is a significant factor contributing to this market expansion. Companies are increasingly leveraging private cloud solutions to enhance data security, comply with regulatory requirements, and achieve efficient data management, which further fuels market growth.

One of the primary growth factors in the database private cloud market is the increasing demand for data security and compliance. Organizations across various sectors have stringent regulations regarding data protection, which necessitates the use of private cloud solutions that offer enhanced security features. Moreover, with the rise in cyber threats and data breaches, companies are prioritizing robust security measures, thereby driving the adoption of private cloud databases. The ability to maintain data sovereignty and control over sensitive information is a compelling reason for businesses to shift towards private cloud solutions.

The growing volume of data generated by enterprises is another critical factor propelling the market. In the era of big data, organizations are dealing with massive amounts of information that need to be stored, managed, and analyzed efficiently. Private cloud databases offer scalable storage solutions that can handle large datasets, making them an attractive option for businesses. Additionally, the integration of advanced technologies such as artificial intelligence and machine learning with private cloud databases enables organizations to derive actionable insights from their data, further driving market growth.

Moreover, the cost-efficiency and flexibility offered by private cloud solutions are significant drivers of market expansion. Unlike traditional on-premises databases, private cloud databases allow businesses to scale resources up or down based on demand, leading to cost savings and improved operational efficiency. The pay-as-you-go pricing model associated with private cloud services enables organizations to manage their IT budgets more effectively. This financial flexibility is especially beneficial for small and medium enterprises (SMEs), which often have limited resources but need robust database solutions to support their growth.

Regionally, North America holds a dominant position in the database private cloud market, attributed to the early adoption of cloud technologies and the presence of major cloud service providers in the region. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The increasing investments in IT infrastructure, coupled with the rising adoption of cloud computing by enterprises in countries like China and India, are driving the market in this region. The growing focus on digital transformation and the need for advanced data management solutions are also contributing to the market's regional growth.

Deployment Model Analysis

The database private cloud market can be segmented based on the deployment model into public cloud, private cloud, and hybrid cloud. Each deployment model offers unique advantages and is chosen based on specific organizational needs and preferences. The private cloud deployment model, in particular, is gaining traction due to its ability to provide dedicated resources, enhanced security, and compliance with regulatory standards. Organizations with sensitive data or those operating in highly regulated industries prefer private cloud solutions to ensure data privacy and control.

The public cloud deployment model, while offering scalability and cost-efficiency, may not always meet the stringent security and compliance requirements of certain organizations. However, it remains a popular choice for companies seeking to reduce IT infrastructure costs and leverage the benefits of cloud computing without significant upfront investments. The hybrid cloud model, which combines the best of both public and private clouds, is increasingly being adopted by organizations looking for a balanced approach to cloud deployment. This model allows businesses to utilize public cloud resources for non-sensitive operations while keeping critical data and applications on private cloud infrastructure.

In terms of market share, the private cloud deployment model is expected to lead, driven by the growing emphasis on data

Comprehensive dataset of 19 Private equity firms in Washington, 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.

Access 28M verified Company Data profiles with Company Funding Data and complete business location data, including small business contact data. Our data provides real-time, AI-validated, and compliant datasets with global coverage, including company funding information - Best Price Guaranteed.

Database Platform as a Service Market Outlook

The Database Platform as a Service (DBPaaS) market is poised for substantial growth, with a market size that was valued at USD 9.5 billion in 2023 and is projected to reach USD 25.3 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% during the forecast period. This remarkable growth is driven by factors such as the increasing adoption of cloud-based solutions, the surge in data generation across various sectors, and the need for scalable and efficient database management systems. Furthermore, the growing demand for real-time data analytics to derive actionable insights and the rising trend of digital transformation across industries are further propelling the market's expansion.

One of the critical growth drivers of the DBPaaS market is the widespread embrace of cloud technology across businesses of all sizes. As organizations increasingly migrate their operations to the cloud, the demand for flexible and cost-effective database management solutions has surged. DBPaaS allows companies to manage databases without the need for complex on-premises infrastructure, enabling them to focus more on their core business objectives. This cloud-first approach is particularly appealing to small and medium enterprises (SMEs) that may lack the resources to maintain robust IT infrastructures, thereby fueling market growth across this segment.

Moreover, the acceleration of digital transformation initiatives across various industries is another pivotal factor influencing the growth of the DBPaaS market. Industries such as BFSI, healthcare, IT and telecommunications, and retail are increasingly relying on digital solutions to optimize their operations, improve customer experiences, and gain competitive advantages. As these sectors generate vast amounts of data, the need for efficient and scalable database management systems becomes paramount. DBPaaS offers these industries the agility and scalability required to handle their data needs effectively, thereby contributing significantly to market expansion.

The ongoing advancements in real-time data analytics and the increasing importance of data-driven decision-making are also boosting the DBPaaS market. Organizations today are keen on leveraging big data and analytics to enhance business operations and customer satisfaction. DBPaaS solutions provide the necessary infrastructure and tools to manage and analyze large datasets efficiently, allowing businesses to derive insights that can drive strategic initiatives. The ability to access real-time data analytics is crucial for industries like retail and BFSI, where timely decisions can significantly impact performance and profitability.

As the DBPaaS market continues to evolve, the concept of a Database Private Cloud is gaining traction among organizations seeking enhanced security and control over their data. Unlike public cloud solutions, a Database Private Cloud offers dedicated resources and infrastructure, ensuring higher levels of data privacy and compliance with industry regulations. This model is particularly appealing to sectors such as healthcare and BFSI, where data sensitivity and confidentiality are paramount. By opting for a Database Private Cloud, businesses can maintain greater oversight of their data environments, tailoring their database management strategies to meet specific security and operational requirements. This approach not only enhances data protection but also allows for more customized and efficient database solutions, aligning with the growing demand for secure cloud-based services.

Regionally, North America dominates the DBPaaS market due to the early adoption of innovative technologies and the presence of major cloud service providers. The region's mature IT infrastructure, coupled with a strong focus on digital transformation across verticals, creates a conducive environment for DBPaaS growth. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. Factors such as increasing investments in cloud infrastructure, rapid economic development, and the rising uptake of cloud services by SMEs in countries like India and China contribute to this regional surge. Europe also demonstrates steady growth, driven by stringent data protection regulations that encourage cloud adoption and database management solutions.

Service Type Analysis

The DBPaaS market is segmented based on service types into managed services and pr

The Private Participation in Infrastructure (PPI) Project Database has data on over 6,400 infrastructure projects in 137 low- and middle-income countries. The database is the leading source of PPI trends in the developing world, covering projects in the energy, transport, water and sewerage, ICT backbone, and Municipal Solid Waste (MSW) sectors (MSW data includes projects since 2008) Projects include management or lease contracts, concessions, greenfield projects, and divestitures.

This data asset brings together information collected since 2001 on Public Private Partnerships (PPPs) that have been supported by USAID. For the purposes of this dataset a PPP is defined as a USAID-supported development project or initiative which engages the private sector (including corporations, foundations, and other non-governmental actors) as a core resource partner. Due to changes in Agency data collection systems, standards, and internal organization, the data has been collected according to different mechanisms, definitions, and timeframes from 2001-2015, and therefore cannot be considered to be comprehensive of all PPPs during this period.

This dataset mainly provides information about private companies invested by the Veterans Affairs Council.

The initial sample of this study covers the A-share companies listed on the Shanghai and Shenzhen stock exchanges during the period 2008-2020. We then screened and processed the initial sample data, including (a) Screening for companies with both RepRisk's ESG rating and Bloomberg's ESG rating. Specifically, the selection is based on samples with the same ISIN code and companies' English names in the Bloomberg and RepRisk lndex (RRI) databases. The ISIN code is a securities coding standard developed by the International Organization for Standardization (ISO) and is a unique code used to identify securities in each country or region around the world. We exclude samples that do not provide ISIN codes or have inconsistent English names. (b) We exclude observations with missing values for the main variables. (c) We exclude the ST, *ST and PT trading status samples during the observation period. Our final sample contains 1352 firm-year observations.The ESG disclosure score data and ESG performance score data required for the ESG-washing construction are respectively obtained from the Bloomberg database and the RepRisk Index (RRI) database of the Wharton Research Centre for Data Studies (WRDS). Positive media coverage data is sourced from the China Research Data Services Platform (CNRDS), while the instrumental variable (IV_population) is obtained from the EPS database and Juhe Data (https://www.gotohui.com/). Unless otherwise stated, all other data in this study are from the China Stock Market and Accounting Research (CSMAR) database. Data on executive company changes were collected manually by the authors back-to-back and independently. Then we compared and reconciled the data collected by each, and where there were discrepancies, we again collected and calibrated the data to maximize their reliability. We first obtained executive biographies from the CSMAR database, and the missing values were retrieved from Sina Finance ( https://finance.sina.com.cn/). Due to the unstructured nature of the resume data, we manually processed more than 30,000 resumes of executives to get the data of executives' company changes, based on which we calculated the per capita number of job hops of all executives in each company. The number of part-time jobs held by executives also reflects their pursuit of career changes and development, so in the robustness test the per capita mean of the number of part-time jobs held by executives is used as a proxy variable for careerist orientation. These data can be obtained directly from the CSMAR database.

Comprehensive dataset of 10 Private equity firms in Maryland, 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.

Number of Registered Company: New: Maharashtra: Government: Private data was reported at 1.000 Unit in Mar 2025. This stayed constant from the previous number of 1.000 Unit for Jan 2025. Number of Registered Company: New: Maharashtra: Government: Private data is updated monthly, averaging 1.000 Unit from Apr 2015 (Median) to Mar 2025, with 28 observations. The data reached an all-time high of 22.000 Unit in May 2021 and a record low of 1.000 Unit in Mar 2025. Number of Registered Company: New: Maharashtra: Government: Private data remains active status in CEIC and is reported by Ministry of Corporate Affairs. The data is categorized under India Premium Database’s Investment – Table IN.OC010: Registered Company: New: by State: Number of Company.

D&B Historical provides access to point-in-time data for U.S. private and public companies. Data goes back to 1969 with the exception of 1981 and 1984 which are unavailable. The businesses included in the annual files were active by the end of that year and had at least basic information available including company name and address (city, state and zip code). Other variables available for most companies include sales volume, employee counts, and sic codes, Consult the data dictionary for further information. Companies that may have requested to be removed from D&B listing are excluded from this dataset. File Format: available in csv and txt format. DATA AVAILABLE FOR YEARS: 1969-2024 (1981, 1984 data unavailable)

The Forager.ai Global Private Equity (PE) Funding Data Set is a leading source of firmographic data, backed by advanced AI and offering the highest refresh rate in the industry.

| Volume and Stats |

• Every company record refreshed twice a month, offering an unparalleled update frequency.
• Delivery is made every hour, ensuring you have the latest data at your fingertips.
• Each record is the result of an advanced AI-driven process, ensuring high-quality, accurate data.

| Use Cases |

Sales Platforms, ABM and Intent Data Platforms, Identity Platforms, Data Vendors:

Example applications include:

1. Uncover trending technologies or tools gaining popularity.

2. Pinpoint lucrative business prospects by identifying similar solutions utilized by a specific company.

3. Study a company's tech stacks to understand the technical capability and skills available within that company.

B2B Tech Companies:

• Enrich leads that sign-up through the Company Search API (available separately).
• Identify and map every company that fits your core personas and ICP.
• Build audiences to target, using key fields like location, company size, industry, and description.

Venture Capital and Private Equity:

• Discover new investment opportunities using company descriptions and industry-level data.
• Review the growth of private companies and benchmark their strength against competitors.
• Create high-level views of companies competing in popular verticals for investment.

| Delivery Options |

• Flat files via S3 or GCP
• PostgreSQL Shared Database
• PostgreSQL Managed Database
• API
• Other options available upon request, depending on the scale required

Our dataset provides a unique blend of volume, freshness, and detail that is perfect for Sales Platforms, B2B Tech, VCs & PE firms, Marketing Automation, ABM & Intent. It stands as a cornerstone in our broader data offering, ensuring you have the information you need to drive decision-making and growth.

Tags: Company Data, Company Profiles, Employee Data, Firmographic Data, AI-Driven Data, High Refresh Rate, Company Classification, Private Market Intelligence, Workforce Intelligence, Public Companies.

The awareness among worldwide consumers about companies selling their personal data to third parties has grown in recent years. As of July 2022, three in four consumers in selected countries worldwide said they knew that companies sell personal information. In comparison, in 2020, this share was a little over 60 percent.

As the frenzy around generative artificial intelligence intensifies, The Information has built a database of more than 100 companies making software and services that use generative AI. Investors are jockeying to join the action: Together, the startups on our list have raised more than $20 billion. Our data comes from our reporting, founders, investors and PitchBook, which provides private market data. We will regularly update the database with more companies and more information about how they are growing.