This comprehensive dataset delivers 387M+ U.S. phone numbers enriched with deep telecom intelligence and granular geographic metadata, providing one of the most complete national phone data assets available today. Designed for data enrichment, verification, identity resolution, analytics, risk modeling, telecom research, and large-scale customer intelligence, this file combines broad coverage with highly structured attributes and reliable carrier-grade metadata. It is a powerful resource for any organization that needs accurate, up-to-date U.S. phone number data supported by robust telecom identifiers.

Our dataset includes mobile, landline, and VOIP numbers, paired with detailed fields such as carrier, line type, city, state, ZIP code, county, latitude/longitude, time zone, rate center, LATA, and OCN. These attributes make the file suitable for a wide range of applications, from consumer analytics and segmentation to identity graph construction and marketing audience modeling. Updated regularly and validated for completeness, this dataset offers high-confidence coverage across all 50 states, major metros, rural areas, and underserved regions.

Field Coverage & Schema Overview

The dataset contains a rich set of fields commonly required for telecom analysis, identity resolution, and large-scale data cleansing:

Phone Number – Standardized 10-digit U.S. number

Line Type – Wireless, Landline, VOIP, fixed-wireless, etc.

Carrier / Provider – Underlying or current carrier assignment

City & State – Parsed from rate center and location metadata

ZIP Code – Primary ZIP associated with the phone block

County – County name mapped to geographic area

Latitude / Longitude – Approximate geo centroid for the assigned location

Time Zone – Automatically mapped; useful for outbound compliance

Rate Center – Telco rate center tied to number blocks

LATA – Local Access and Transport Area for telecom routing

OCN (Operating Company Number) – Carrier identifier for precision analytics

Additional metadata such as region codes, telecom identifiers, and national routing attributes depending on the number block

These data points provide a complete snapshot of the phone number’s telecom context and geographic footprint.

Key Features

387M+ fully structured U.S. phone numbers

Mobile, landline, and VOIP line types

Accurate carrier and OCN information

Geo-enriched records with city, state, ZIP, county, lat/long

Telecom routing metadata including rate center and LATA

Ideal for large-scale analytics, enrichment, and modeling

Nationwide coverage with consistent formatting and schema

Primary Use Cases 1. Data Enrichment & Appending

Enhance customer databases by adding carrier information, line type, geographic attributes, and telecom routing fields to improve downstream analytics and segmentation.

1. Identity Resolution & Profile Matching

Use carrier, OCN, and geographic fields to strengthen your identity graph, resolve duplicate entities, confirm telephone types, or enrich cross-channel identifiers.

1. Lead Scoring & Consumer Modeling

Build predictive models based on:

Line type (mobile vs landline)

Geography (state, county, ZIP)

Telecom infrastructure and regional carrier assignments Useful for ML/AI scoring, propensity models, risk analysis, and customer lifetime value studies.

1. Compliance-Aware Outreach Planning

Fields like time zone, rate center, and line type support compliant outbound operations, call scheduling, and segmentation of mobile vs landline users for regulated environments.

1. Data Quality, Cleansing & Validation

Normalize customer files, detect outdated or mismatched phone metadata, resolve carrier inconsistencies, and remove non-U.S. or structurally invalid numbers.

1. Telecom Market Analysis

Researchers and telecom analysts can use the dataset to understand national carrier distribution, regional line-type patterns, infrastructure growth, and switching behavior.

1. Fraud Detection & Risk Intelligence

Carrier metadata, OCN patterns, and geographic context support:

Synthetic identity detection

Fraud scoring models

Device/number reputation systems

VOIP risk modeling

1. Location-Based Analytics & Mapping

Lat/long and geographic context fields allow integration into GIS systems, heat-mapping, regional modeling, and ZIP- or county-level segmentation.

1. Customer Acquisition & Audience Building

Build highly targeted audiences for:

Marketing analytics

Look-alike modeling

Cross-channel segmentation

Regional consumer insights

1. Enterprise-Scale ETL & Data Infrastructure

The structured, normalized schema makes this file easy to integrate into:

Data lakes

Snowflake / BigQuery warehouses

ID graphs

Customer 360 platforms

Telecom research systems

Ideal Users

Marketing analytics teams

Data science groups

Identity resolution providers

Fraud & risk intelligence platforms

Telecom analysts

Consumer data platforms

Credit, insurance, and fintech modeling teams

Data brokers & a...

The US Cell Phone Database: Consumer & Business Contacts is AmeriList’s premier mobile-first dataset, built for marketers, agencies, and enterprises that demand accurate, compliant, and scalable U.S. cell phone data. Covering millions of verified consumer and business mobile numbers, and refreshed weekly for accuracy, this file is one of the most reliable and frequently updated cell phone databases available today.

Why Choose This Database? Today’s marketing success depends on reaching your audience where they are, and that’s on their mobile devices. With this dataset, you gain:

• Nationwide coverage of U.S. consumer and business cell phone contacts.
• Verified mobile numbers that can be DNC-scrubbed to support compliance and responsible outreach.
• Multi-channel readiness with delivery via CSV, API, SFTP, or cloud integrations (AWS, GCP, Azure).

Key Features: - Millions of verified consumer and business mobile phone numbers. - Weekly update cycle to maintain accuracy and compliance.

Schema Preview: First_Name, Last_Name, Phone_Number, DNC_Flag

Use Cases This dataset powers a wide range of mobile-first and cross-channel marketing strategies:

• SMS Campaigns: Deliver time-sensitive promotions and personalized offers.
• Outbound Calling: Connect directly with decision-makers and consumers.
• Mobile-First Advertising: Enhance digital campaigns with compliant mobile targeting.

Industries That Benefit - Retail & E-commerce: Deliver SMS promotions, loyalty program updates, and flash sale alerts. - Healthcare: Share wellness updates, insurance enrollment opportunities, and educational campaigns. - Financial Services & Insurance: Connect with prospects for loan offers, credit card promotions, or new insurance plans. - Real Estate & Home Services: Reach potential buyers, renters, and homeowners with property alerts and service offers.

Why AmeriList? For over 20 years, AmeriList has been a trusted leader in direct marketing data solutions. Our expertise in consumer and business contact databases ensures not only the accuracy of the phone numbers we provide, but also the compliance and strategic value they deliver. With a strong focus on TCPA and CAN-SPAM regulations, data quality, and ROI, AmeriList empowers brands and agencies to unlock the full potential of mobile-first marketing campaigns.

This dataset on mobile phone coverage is no longer current. It was published by Ofcom in 2013. More recent mobile phone coverage data is available in our 2017 Connected Nations report (formerly called Infrastructure Report), both on www.data.gov.uk and on the Ofcom website at https://www.ofcom.org.uk/research-and-data/multi-sector-research/infrastructure-research/connected-nations-2017

Global B2B Mobile Phone Number Database | 100M+ Verified Contacts | 95% Accuracy Forager.ai provides the world’s most reliable mobile phone number data for businesses that refuse to compromise on quality. With 100 million+ professionally verified mobile numbers refreshed every 3 weeks, our database ensures 95% accuracy – so your teams never waste time on dead-end leads.

Why Our Data Wins ✅ Accuracy You Can Trust 95% of mobile numbers are verified against live carrier records and tied to current job roles. Say goodbye to “disconnected number” voicemails.

✅ Depth Beyond Digits Each contact includes 150+ data points:

Direct mobile numbers

Current job title, company, and department

Full career history + education background

Location data + LinkedIn profiles

Company size, industry, and revenue

✅ Freshness Guaranteed Bi-weekly updates combat job-hopping and role changes – critical for sales teams targeting decision-makers.

✅ Ethically Sourced & Compliant First-party collected data with full GDPR/CCPA compliance.

Who Uses This Data?

Sales Teams: Cold-call C-suite prospects with verified mobile numbers.

Marketers: Run hyper-personalized SMS/WhatsApp campaigns.

Recruiters: Source passive candidates with up-to-date contact intel.

Data Vendors: License premium datasets to enhance your product.

Tech Platforms: Power your SaaS tools via API with enterprise-grade B2B data.

Flexible Delivery, Instant Results

API (REST): Real-time integration for CRMs, dialers, or marketing stacks

CSV/JSON: Campaign-ready files.

PostgreSQL: Custom databases for large-scale enrichment

Compliance: Full audit trails + opt-out management

Why Forager.ai? → Proven ROI: Clients see 62% higher connect rates vs. industry averages (request case studies). → No Guesswork: Test-drive free samples before committing. → Scalable Pricing: Pay per record, license datasets, or get unlimited API access.

B2B Mobile Phone Data | Verified Contact Database | Sales Prospecting Lists | CRM Enrichment | Recruitment Phone Numbers | Marketing Automation | Phone Number Datasets | GDPR-Compliant Leads | Direct Dial Contacts | Decision-Maker Data

Need Proof? Contact us to see why Fortune 500 companies and startups alike trust Forager.ai for mission-critical outreach.

Abstract: The aim of this study is to gain insights into the attitudes of the population towards big data practices and the factors influencing them. To this end, a nationwide survey (N = 1,331), representative of the population of Germany, addressed the attitudes about selected big data practices exemplified by four scenarios, which may have a direct impact on the personal lifestyle. The scenarios contained price discrimination in retail, credit scoring, differentiations in health insurance, and differentiations in employment. The attitudes about the scenarios were set into relation to demographic characteristics, personal value orientations, knowledge about computers and the internet, and general attitudes about privacy and data protection. Another focus of the study is on the institutional framework of privacy and data protection, because the realization of benefits or risks of big data practices for the population also depends on the knowledge about the rights the institutional framework provided to the population and the actual use of those rights. As results, several challenges for the framework by big data practices were confirmed, in particular for the elements of informed consent with privacy policies, purpose limitation, and the individuals’ rights to request information about the processing of personal data and to have these data corrected or erased. TechnicalRemarks: TYPE OF SURVEY AND METHODS The data set includes responses to a survey conducted by professionally trained interviewers of a social and market research company in the form of computer-aided telephone interviews (CATI) from 2017-02 to 2017-04. The target population was inhabitants of Germany aged 18 years and more, who were randomly selected by using the sampling approaches ADM eASYSAMPLe (based on the Gabler-Häder method) for landline connections and eASYMOBILe for mobile connections. The 1,331 completed questionnaires comprise 44.2 percent mobile and 55.8 percent landline phone respondents. Most questions had options to answer with a 5-point rating scale (Likert-like) anchored with ‘Fully agree’ to ‘Do not agree at all’, or ‘Very uncomfortable’ to ‘Very comfortable’, for instance. Responses by the interviewees were weighted to obtain a representation of the entire German population (variable ‘gewicht’ in the data sets). To this end, standard weighting procedures were applied to reduce differences between the sample and the entire population with regard to known rates of response and non-response depending on household size, age, gender, educational level, and place of residence. RELATED PUBLICATION AND FURTHER DETAILS The questionnaire, analysis and results will be published in the corresponding report (main text in English language, questionnaire in Appendix B in German language of the interviews and English translation). The report will be available as open access publication at KIT Scientific Publishing (https://www.ksp.kit.edu/). Reference: Orwat, Carsten; Schankin, Andrea (2018): Attitudes towards big data practices and the institutional framework of privacy and data protection - A population survey, KIT Scientific Report 7753, Karlsruhe: KIT Scientific Publishing. FILE FORMATS The data set of responses is saved for the repository KITopen at 2018-11 in the following file formats: comma-separated values (.csv), tapulator-separated values (.dat), Excel (.xlx), Excel 2007 or newer (.xlxs), and SPSS Statistics (.sav). The questionnaire is saved in the following file formats: comma-separated values (.csv), Excel (.xlx), Excel 2007 or newer (.xlxs), and Portable Document Format (.pdf). PROJECT AND FUNDING The survey is part of the project Assessing Big Data (ABIDA) (from 2015-03 to 2019-02), which receives funding from the Federal Ministry of Education and Research (BMBF), Germany (grant no. 01IS15016A-F). http://www.abida.de

Net-Income Time Series for The Allstate Corporation. The Allstate Corporation, together with its subsidiaries, provides property and casualty, and other insurance products in the United States and Canada. It operates in five segments: Allstate Protection; Run-off Property-Liability; Protection Services; Allstate Health and Benefits; and Corporate and Other. The company offers private passenger auto, homeowners, personal lines, and commercial insurance products through agents, contact centers, and online; and property and casualty insurance products. It also provides consumer product protection plans, device and mobile data collection services, and analytic solutions using automotive telematics information, roadside assistance, and protection plans; and insurance products, such as identity protection and restoration through Allstate Protection Plans, Allstate Dealer Services, Allstate Roadside, Arity, and Allstate Identity Protection brands. In addition, the company offers life, accident, critical illness, hospital indemnity, short-term disability, and other health insurance products; self-funded stop-loss and fully insured group health products to employers; medicare supplement, ancillary products, and short-term medical insurance to individuals through independent agents, owned agencies, benefits brokers, and Allstate exclusive agents. Further, it offers automotive protection; vehicle service contracts, guaranteed asset protection, road hazard tires and wheels, and paintless dent repair protection; and roadside assistance, mobility data collection services, and analytic solutions using automotive telematics information, identity theft protection, and remediation services. The Allstate Corporation was founded in 1931 and is headquartered in Northbrook, Illinois.

The present data sets contain data from the mFUND project AStriD - Autonomous tram in the depot. This data was recorded and stored by the DataHub of Codewerk GmbH. Both the vehicle control values ​​and the mobile phone coverage in the ViP depot and on a section of the Potsdam route network were selected as examples. The journeys were carried out autonomously by the driving machines from Siemens Mobility GmbH. For a detailed description of the data sets, please refer to the attached PDF file.

Corrosion is a serious problem that has enormous costs for the nation (4.2% GDP in 2007) and worldwide. Kennedy Space Center is located in one of the most naturally corrosive areas in the world. Acidic exhaust from the solid rocket boosters aggravates these natural conditions. New space vehicles are likely to use the same solid rocket fuel used to launch the Space Shuttle. Launching facilities and ground support equipment will continue to need corrosion protection.

Current research is focused on encapsulating environmentally friendly corrosion inhibitors and incorporating them into commercially available coatings to test their effectiveness. Accelerated corrosion tests have shown that corrosion-activated release microcapsules and particles can be used as inhibitor delivery systems to improve the corrosion protection of several commercially available coatings. This work is being conducted in collaboration with several industry partners who are interested in the NASA-developed smart coating technology.

Overview

This dataset contains detailed specifications of 4,144+ smartphones and mobile devices from 116+ brands, scraped on July 29, 2025. It represents one of the most comprehensive collections of mobile device specifications available, covering both current market devices and historical models dating back to 2012.

Dataset Contents

The dataset is provided in two formats: - CSV format: Structured tabular data with 68 columns - JSON format: Hierarchical data structure with detailed nested information

Key Features & Specifications Covered

• Device Information: Brand, model, device type, release date, availability status
• Hardware Specifications: Chipset, CPU, GPU, RAM, storage, architecture, fabrication process
• Display Details: Screen size, resolution, pixel density, refresh rate, display technology, brightness
• Camera Systems: Primary and selfie camera specifications, video recording capabilities
• Battery & Charging: Battery capacity, fast charging support, battery type
• Connectivity: Network support (2G-5G), WiFi, Bluetooth, GPS, USB specifications
• Physical Attributes: Dimensions, weight, color options, build materials
• Software: Operating system, UI version, features
• Durability: IP ratings, water resistance, dust protection

Brand Coverage

The dataset includes devices from major manufacturers including: - Samsung, Apple, Xiaomi, Oppo, Vivo, Realme - OnePlus, Huawei, Honor, Infinix, Tecno - Motorola, Sony, ZTE, Lava, Itel - And 100+ other brands globally

Data Quality & Structure

• Clean, structured data with consistent formatting
• Detailed technical specifications for each device
• Image URLs and product detail links included
• Timestamp information showing data collection date
• Both current (2025) and historical device data

Potential Use Cases

• Market analysis and competitive intelligence
• Price prediction modeling
• Consumer preference analysis
• Technology trend analysis
• Academic research in mobile technology evolution
• Business intelligence for mobile industry stakeholders

This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. Polygon layer displays areas where fixed wireless broadband service is available. Last Updated: 10/2014 Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/UtilityTelecom/MD_BroadbandServiceAreas/MapServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

Kenntnisse über Datenschutzgesetze und Kenntnis der unabhängigen Datenschutzbehörde. Kenntnisse über den Schutz persönlicher Daten. Themen: Interesse am Schutz persönlicher Daten, die in privaten und öffentlichen Organisationen gespeichert werden; Vertrauen in ausgewählte Institutionen im eigenen Lande bezüglich des Datenschutzes; Meinung zum Schutz persönlicher Daten: ausreichender Datenschutz im eigenen Land, Einschätzung des allgemeinen Bewusstseins über den Schutz persönlicher Daten, Beunruhigung über das Hinterlassen persönlicher Daten im Internet, Vertrauen in die Datenschutzgesetzgebung; Kenntnis der Datenschutzbehörde und deren Aufgaben: Annahme von Beschwerden von Privatpersonen, Verhängen von Sanktionen, eigene Kontaktaufnahme zu dieser Behörde; Kenntnisse der Pflichten von datenhaltenden Organisationen gegenüber dem Befragten; Kenntnistest der Rechte des Befragten hinsichtlich der Verwendung seiner persönlichen Daten: erforderliche Zustimmung, Widerspruchsrecht, Auskunftsrecht, Recht auf Korrektur oder Löschung von Daten, Rechtsmittel gegen Verstöße, Schadensersatzforderung bei ungesetzlicher Verwendung; Meinung über Übertragungssicherheit von Daten im Internet; Kenntnis über Technologien, die die Sammlung persönlicher Daten vom eigenen Computer einschränken (Cookies, Firewall); Verwendung dieser Technologien; Gründe für eine Nichtnutzung; Einstellung zur Überwachung von: Telefongesprächen, Internetnutzung, Kreditkartennutzung und Daten von Flugpassagieren zur Terrorismusbekämpfung (Split: umgedrehte Antwortvorgaben); Kenntnis über Verbot der Weitergabe persönlicher Daten an Nicht-EU-Länder, mit unzureichendem Datenschutz; Kenntnis über strengere Datenschutzregelungen für empfindliche Daten. Demographie: Geschlecht; Alter; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Urbanisierungsgrad; Haushaltszusammensetzung und Haushaltsgröße; Besitz eines Mobiltelefons; Festnetztelefon im Haushalt. Zusätzlich verkodet wurde: Befragten-ID; Interviewsprache; Interviewer-ID; Land; Interviewdatum; Interviewdauer (Interviewbeginn und Interviewende); Interviewmodus (Mobiltelefon oder Festnetz); Region; Gewichtungsfaktor. Attitudes towards the protection of personal data. Topics: concern with regard to the protection of personal information by private and public organisations; trust in the following institutions regarding the use of personal information in a proper way: travel companies, medical services, insurance companies, credit card companies, financial institutions, employers, police, social security, tax authorities, local authorities, credit reference agencies, mail order companies, non-profit organisations, market and opinion research companies; attitude towards the following statements on the protection of personal data in the own country: is properly protected, low awareness of people on the subject, worry about leaving personal information on the internet, appropriate legislation to cope with growing number of personal information on the internet; awareness of the national authority to monitor the application of data protection laws; responsibility of the national authority to hear individuals; ability of the authority to pose sanctions; personal contact to authority; awareness of the obligation of data collectors to provide information on identity, purpose, and further data sharing; knowledge test concerning the storage of personal data: need for personal consent with regard to the use of personal information, right to oppose the use, legal assurance to access personal data, right to correct or remove data, national laws allow access to courts to seek remedies for breaches of data protection laws, right for compensation caused by unlawful use of personal data; assessment of the security of transmitting personal data over the internet; awareness of technologies to limit the collection of personal data from personal computer; use of these technologies; reasons for not using; attitude towards selected measures to fight international terrorism: monitor telephone calls, monitor internet use, monitor credit card use, monitor flight passenger data; awareness of the assurance that personal data of EU citizens can only be transferred outside the EU to countries which ensure an adequate level or protection; awareness of stricter data protection rules applied for sensitive data. Demography: sex; age; age at end of education; occupation; professional position; type of community; household composition and household size; own a mobile phone and fixed (landline) phone. Additionally coded was: respondent ID; language of the interview; interviewer ID; country; date of interview; time of the beginning of the interview; duration of the interview; type of phone line; region; weighting factor.

Polygon layer displays areas where fixed wireless broadband service is available.

The US Consumer Phone file contains phone numbers, mobile and landline, tied to an individual in the Consumer Database. The fields available include the phone number, phone type, mobile carrier, and Do Not Call registry status.

All phone numbers can be processed and cleansed using telecom carrier data. The telecom data, including phone and texting activity, porting instances, carrier scoring, spam, and known fraud activity, comprise a proprietary Phone Quality Level (PQL), which is a data-science derived score to ensure the highest levels of deliverability at a fraction of the cost compared to competitors.

We have developed this file to be tied to our Consumer Demographics Database so additional demographics can be applied as needed. Each record is ranked by confidence and only the highest quality data is used.

Note - all Consumer packages can include necessary PII (address, email, phone, DOB, etc.) for merging, linking, and activation of the data.

BIGDBM Privacy Policy: https://bigdbm.com/privacy.html

This dataset provides the GPS Co-ordinates and Backhaul Transmission Type of telecommunications services in remote areas of the Northern Territory.

Success.ai’s Phone Number Data offers direct access to over 50 million verified phone numbers for professionals worldwide, extracted from our expansive collection of 170 million profiles. This robust dataset includes work emails and key decision-maker profiles, making it an essential resource for companies aiming to enhance their communication strategies and outreach efficiency. Whether you're launching targeted marketing campaigns, setting up sales calls, or conducting market research, our phone number data ensures you're connected to the right professionals at the right time.

Why Choose Success.ai’s Phone Number Data?

Direct Communication: Reach out directly to professionals with verified phone numbers and work emails, ensuring your message gets to the right person without delay. Global Coverage: Our data spans across continents, providing phone numbers for professionals in North America, Europe, APAC, and emerging markets. Continuously Updated: We regularly refresh our dataset to maintain accuracy and relevance, reflecting changes like promotions, company moves, or industry shifts. Comprehensive Data Points:

Verified Phone Numbers: Direct lines and mobile numbers of professionals across various industries. Work Emails: Reliable email addresses to complement phone communications. Professional Profiles: Decision-makers’ profiles including job titles, company details, and industry information. Flexible Delivery and Integration: Success.ai offers this dataset in various formats suitable for seamless integration into your CRM or sales platform. Whether you prefer API access for real-time data retrieval or static files for periodic updates, we tailor the delivery to meet your operational needs.

Competitive Pricing with Best Price Guarantee: We provide this essential data at the most competitive prices in the industry, ensuring you receive the best value for your investment. Our best price guarantee means you can trust that you are getting the highest quality data at the lowest possible cost.

Targeted Applications for Phone Number Data:

Sales and Telemarketing: Enhance your telemarketing campaigns by reaching out directly to potential customers, bypassing gatekeepers. Market Research: Conduct surveys and research directly with industry professionals to gather insights that can shape your business strategy. Event Promotion: Invite prospects to webinars, conferences, and seminars directly through personal calls or SMS. Customer Support: Improve customer service by integrating accurate contact information into your support systems. Quality Assurance and Compliance:

Data Accuracy: Our data is verified for accuracy to ensure over 99% deliverability rates. Compliance: Fully compliant with GDPR and other international data protection regulations, allowing you to use the data with confidence globally. Customization and Support:

Tailored Data Solutions: Customize the data according to geographic, industry-specific, or job role filters to match your unique business needs. Dedicated Support: Our team is on hand to assist with data integration, usage, and any questions you may have. Start with Success.ai Today: Engage with Success.ai to leverage our Phone Number Data and connect with global professionals effectively. Schedule a consultation or request a sample through our dedicated client portal and begin transforming your outreach and communication strategies today.

Remember, with Success.ai, you don’t just buy data; you invest in a partnership that grows with your business needs, backed by our commitment to quality and affordability.

CompanyData.com (BoldData) provides accurate, verified business intelligence sourced directly from official trade registers and financial authorities. Our global database includes 1 million banking and insurance companies, giving you unrivaled access to financial institutions, commercial banks, fintech firms, life insurers, reinsurers, and investment companies across every major market.

Each record in our database is enriched with high-value details such as company hierarchies, executive contacts, email addresses, direct phone numbers, mobile numbers, industry codes, and firmographic data including company size, revenue, and location. This ensures you get not just quantity, but precision and relevance for your business needs. Our data is continually verified and updated to meet the strictest accuracy and compliance standards.

Organizations worldwide use our financial services dataset for a wide range of applications—from regulatory compliance and KYC verification, to financial services sales outreach, marketing campaigns, CRM or ERP database enrichment, and AI training models. Whether you're targeting insurance providers in Europe or identifying investment firms in Asia, our dataset provides the clarity and coverage to move forward with confidence.

You can access the data through custom-tailored bulk downloads, real-time API integrations, or explore and filter companies directly through our easy-to-use self-service platform. With a total coverage of 380 million verified companies globally, CompanyData.com (BoldData) is your trusted partner for navigating the complex and regulated landscape of global finance and insurance.