According to a survey conducted at the EmTech Digital conference in March 2019, U.S. business leaders shared their opinions on trust issues with regard to AI data quality and privacy. Nearly half of respondents reported a lack of trust in the quality of AI data in their companies, showing that there is still a long way to go to get quality AI data.

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...

Big Data and Business Analytics Market Outlook

In 2023, the global Big Data and Business Analytics market size is estimated to be valued at approximately $274 billion, and with a projected compound annual growth rate (CAGR) of 12.4%, it is anticipated to reach around $693 billion by 2032. This significant growth is driven by the escalating demand for data-driven decision-making processes across various industries, which leverage insights derived from vast data sets to enhance business efficiency, optimize operations, and drive innovation. The increasing adoption of Internet of Things (IoT) devices, coupled with the exponential growth of data generated daily, further propels the need for advanced analytics solutions to harness and interpret this information effectively.

A critical growth factor in the Big Data and Business Analytics market is the increasing reliance on data to gain a competitive edge. Organizations are now more than ever looking to uncover hidden patterns, correlations, and insights from the data they collect to make informed decisions. This trend is especially prominent in industries such as retail, where understanding consumer behavior can lead to personalized marketing strategies, and in healthcare, where data analytics can improve patient outcomes through precision medicine. Moreover, the integration of big data analytics with artificial intelligence and machine learning technologies is enabling more accurate predictions and real-time decision-making, further enhancing the value proposition of these analytics solutions.

Another key driver of market growth is the continuous technological advancements and innovations in data analytics tools and platforms. Companies are increasingly investing in advanced analytics capabilities, such as predictive analytics, prescriptive analytics, and real-time analytics, to gain deeper insights into their operations and market environments. The development of user-friendly and self-service analytics tools is also democratizing data access within organizations, empowering employees at all levels to leverage data in their daily decision-making processes. This democratization of data analytics is reducing the reliance on specialized data scientists, thereby accelerating the adoption of big data analytics across various business functions.

The increasing emphasis on regulatory compliance and data privacy is also driving growth in the Big Data and Business Analytics market. Strict regulations, such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States, require organizations to manage and analyze data responsibly. This is prompting businesses to invest in robust analytics solutions that not only help them comply with these regulations but also ensure data integrity and security. Additionally, as data breaches and cybersecurity threats continue to rise, organizations are turning to analytics solutions to identify potential vulnerabilities and mitigate risks effectively.

Regionally, North America remains a dominant player in the Big Data and Business Analytics market, benefiting from the presence of major technology companies and a high rate of digital adoption. The Asia Pacific region, however, is emerging as a significant growth area, driven by rapid industrialization, urbanization, and increasing investments in digital transformation initiatives. Europe also showcases a robust market, fueled by stringent data protection regulations and a strong focus on innovation. Meanwhile, the markets in Latin America and the Middle East & Africa are gradually gaining momentum as organizations in these regions are increasingly recognizing the value of data analytics in enhancing business outcomes and driving economic growth.

Component Analysis

The Big Data and Business Analytics market is segmented by components into software, services, and hardware, each playing a crucial role in the ecosystem. Software components, which include data management and analytics tools, are at the forefront, offering solutions that facilitate the collection, analysis, and visualization of large data sets. The software segment is driven by a demand for scalable solutions that can handle the increasing volume, velocity, and variety of data. As organizations strive to become more data-centric, there is a growing need for advanced analytics software that can provide actionable insights from complex data sets, leading to enhanced decision-making capabilities.

In the services segment, businesses are increasingly seeking consultation, implementation, and support services to effective

The Financial Statements of U.S. Nonbank Subsidiaries of U.S. Holding Companies (FR Y-11; FR Y-11S) reporting forms collect financial information for individual nonfunctional regulated U.S. nonbank subsidiaries of domestic holding companies, which is essential for monitoring the subsidiaries' potential impact on the condition of the holding company or its subsidiary banks. Holding companies file the FR Y-11 on a quarterly or annual basis or the FR Y-11S on an annual basis, predominantly based on whether the organization meets certain asset size thresholds. The FR Y-11 data are used with other holding company data to assess the condition of holding companies that are heavily engaged in nonbanking activities and to monitor the volume, nature, and condition of their nonbanking operations.

The report covers Global Supply Chain Big Data Analytics Market Size and it is segmented by Type (Solution, Service), End User (Retail, Manufacturing, Transportation and Logistics, Healthcare, Other End Users), and Geography (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa). The market size and forecasts are provided in terms of value (USD) for all the above segments.

A survey conducted from April to May 2022 found that *** in ** organizations in the United States designated an internal project manager or owner to manage compliance with state-level privacy laws. Around half of the organizations conducted data mapping and had an understanding of data practices across the organization. A further ** percent said they updated privacy policies, while ** percent said they were in the process of doing so.

This list has data of about 3000+ companies specializing in computer vision from Enterprises and Startups to Studios. The information includes:

Location Company Name Linkedin profiles of key people Company Name No of employees Company Name LinkedIn profile Company Name List of key people Company Name Fund raised

This list is suitable for:

Agencies & service providers Pitch your services whether it be marketing, design or web development services.

Freelancers & developers Up your job hunting, contract work and gig opportunities search.

Product companies Companies with a product or service for computer vision companies.

Staffing and recruiting agencies Companies with a product or service for computer vision companies.

The statistic shows the problems that organizations face when using big data technologies worldwide as of 2017. Around ** percent of respondents stated that inadequate analytical know-how was a major problem that their organization faced when using big data technologies as of 2017.

A broker-dealer authorized to engage in securities underwriting, dealing, or market-making may, under certain circumstances, be acquired by a bank holding company, by a foreign bank subject to the Bank Holding Company Act, or by a state member bank. The resulting subsidiaries and the institutions owning them are listed here under the following categories: Section 20 Subsidiaries (as of March 31, 2011) and Section 4(k)(4)(E) Securities Subsidiaries (as of December 19, 2013).

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.

In 2023, around **** percent of companies that used big data analysis and related services in South Korea did so with public data. Following this was the analysis of customer information, at around **** percent.

Comprehensive dataset of 408 Automation companies in California, 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.

t CompanyData.com (BoldData), we provide trusted, verified company data sourced directly from official trade registers around the world. Our global list of 22 million manufacturing companies offers unmatched access to the industrial backbone of the global economy—spanning small-scale producers to large multinational manufacturers. This comprehensive dataset is built to support everything from outreach to automation.

Each record contains rich, up-to-date firmographics, company hierarchies, and contact information, including names of key decision-makers, direct emails, mobile phone numbers, turnover estimates, and employee ranges. Our data is collected and maintained with precision to ensure the highest standards of accuracy and compliance. Whether you’re navigating the automotive, food processing, electronics, or machinery sectors, we help you connect to the right manufacturing companies across global markets.

Our manufacturing dataset powers a broad range of use cases: from KYC verification and due diligence to sales prospecting, marketing campaigns, CRM data enrichment, and AI model training. Whether you need to verify business legitimacy, expand your market reach, or automate intelligence pipelines, our data gives you the edge.

We deliver our data in the format that fits your business best: tailored bulk files, access through our self-service platform, real-time API integration, or data enrichment services that complete and refine your existing databases. Backed by a global database of 380 million verified companies and deep domain expertise, CompanyData.com helps you reach manufacturers worldwide with confidence, compliance, and strategic precision.

At CompanyData.com (BoldData), we deliver trusted, high-quality business data sourced directly from official trade registers worldwide. For Malaysia, we provide access to an extensive and verified database of over 943,773 registered companies, offering a complete view of one of Southeast Asia’s most dynamic and diverse economies.

Our Malaysia company database includes detailed firmographic information such as company name, registration number (ROC/SSM), legal status, industry classification (MSIC), company size, turnover estimates and ownership hierarchies. Where available, we also supply contact details, including executive names, job titles, email addresses and mobile numbers, to support sales and outreach initiatives.

Whether your goal is KYC or AML compliance, B2B marketing, CRM data enrichment, AI model training, or market research, our Malaysian company data is built for accuracy, depth and actionable insight.

Flexible delivery options include: • Custom lists tailored to your industry, target audience or location • Full national databases for large-scale analysis and segmentation • Real-time data access via our API • File formats including Excel and CSV for seamless integration • Enrichment services to improve and update your existing company records

With 943,773 verified company records across 200+ countries, CompanyData.com (BoldData) offers both local depth and global reach. Whether you're expanding into Malaysia or scaling across international markets, our data empowers you to move confidently and strategically.

Choose CompanyData.com for reliable, up-to-date company data in Malaysia and around the world — powering compliance, prospecting and growth with precision.

The FR 3033p is the first part of a two-stage survey series, which has been conducted at regular five-year intervals since 1955. It is a census survey designed to identify the universe of finance companies eligible for potential inclusion in the FR 3033s. It gathers limited information including total assets, areas of specialization, and information on the corporate structure of such companies. The second part of these information collections, the FR 3033s, collects balance sheet data on major categories of consumer and business credit receivables and major liabilities, along with income and expenses, and is used to gather information on the scope of a company's operations and loan and lease servicing activities. In addition, additional questions were added to collect lending information related to the COVID-19 impacts.

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

Comprehensive dataset of 111,788 Construction companies 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.

France FR: Number of Listed Domestic Companies: Total data was reported at 465.000 Unit in 2017. This records a decrease from the previous number of 485.000 Unit for 2016. France FR: Number of Listed Domestic Companies: Total data is updated yearly, averaging 630.000 Unit from Dec 1975 (Median) to 2017, with 43 observations. The data reached an all-time high of 1,185.000 Unit in 2000 and a record low of 218.000 Unit in 1994. France FR: Number of Listed Domestic Companies: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank.WDI: Financial Sector. Listed domestic companies, including foreign companies which are exclusively listed, are those which have shares listed on an exchange at the end of the year. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies, such as holding companies and investment companies, regardless of their legal status, are excluded. A company with several classes of shares is counted once. Only companies admitted to listing on the exchange are included.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

United States STT: LC: EC: NCI In Consolidated Subsidiaries data was reported at 0.000 USD th in Dec 2019. This stayed constant from the previous number of 0.000 USD th for Sep 2019. United States STT: LC: EC: NCI In Consolidated Subsidiaries data is updated quarterly, averaging 230,000.000 USD th from Mar 2009 (Median) to Dec 2019, with 44 observations. The data reached an all-time high of 230,000.000 USD th in Sep 2017 and a record low of 0.000 USD th in Dec 2019. United States STT: LC: EC: NCI In Consolidated Subsidiaries data remains active status in CEIC and is reported by Federal Deposit Insurance Corporation. The data is categorized under Global Database’s United States – Table US.KB063: Financial Data: Federal Deposit Insurance Corporation: State Street Bank & Trust.

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