Company Intelligence
Name and Websites - Company Website and Alternative Domains.
Address - Standardized headquarter Address, City, Region, Zip Code, and Country
LAT / LONG - Used for Geo Location
Locations - Additional office locations of the business
Phone - Standardized headquarter phone with country code
Social Profiles - LinkedIn, CrunchBase, Facebook, Twitter, Yelp, Instagram
Type - Headquarters, Branch, Local Only
Description - detailed overview of the company business model and pursuit.
Industry - Standardized Industries to segment companies by their most notable contributions
Sector - 20 industry groupings
Specialties - Non industry details shared by the company to better understand what they do
SIC Code - 839 industry classifications and their definitions
Revenue - Annual revenue from 1M to over 1B
Employee - Number of Employees at the company
Similar Companies - used to identify competitors Funding - for start up data IP Address - from the hosted website Affiliated Companies - company hierarchy
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Global Database Software market size is expected to reach $311.05 billion by 2029 at 10.7%, segmented as by type, database operation management, database maintenance management
Our contact database has over 100 million companies profiled with all of their employees. Used to fuel sales & marketing growth, proviDES you with verified email addresses & direct dials for your desired contacts. With our contact database you can:
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Segment by job title & function
Filter by company type & industry
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Switzerland Start-Up Procedures to Register a Business: Male data was reported at 6.000 Number in 2017. This stayed constant from the previous number of 6.000 Number for 2016. Switzerland Start-Up Procedures to Register a Business: Male data is updated yearly, averaging 6.000 Number from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 6.000 Number in 2017 and a record low of 6.000 Number in 2017. Switzerland Start-Up Procedures to Register a Business: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Switzerland – Table CH.World Bank: Company Statistics. Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific characteristics of ownership, size, and type of production.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.
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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.
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
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The Global Graph Database market size is estimated to reach $9.59 billion by 2029 at 24.2%, and is projected to grow demand for personalized marketing is driving the growth of the graph database market.
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Global Vector Database market size is expected to reach $7.13 billion by 2029 at 23.7%, segmented as by relational vector databases, traditional relational databases with vector support, enhanced query capabilities
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.
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Global Cloud Database And DBaaS market size is expected to reach $63.19 billion by 2029 at 21.3%, segmented as by solution, relational cloud databases, nosql cloud databases, in-memory cloud databases, newsql cloud databases
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Germany DE: New Business Density: New Registrations per 1000 People Aged 15 to 64 data was reported at 1.398 Number in 2022. This records a decrease from the previous number of 1.560 Number for 2021. Germany DE: New Business Density: New Registrations per 1000 People Aged 15 to 64 data is updated yearly, averaging 1.330 Number from Dec 2006 (Median) to 2022, with 17 observations. The data reached an all-time high of 1.560 Number in 2021 and a record low of 1.199 Number in 2006. Germany DE: New Business Density: New Registrations per 1000 People Aged 15 to 64 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Businesses Registered Statistics. New businesses registered are the number of new limited liability corporations (or its equivalent) registered in the calendar year.;World Bank's Entrepreneurship Database (https://www.worldbank.org/en/programs/entrepreneurship).;Unweighted average;For cross-country comparability, only limited liability corporations that operate in the formal sector are included.
CompanyData.com, powered by BoldData, offers high-quality, verified company data from official trade registers around the world. Our Hong Kong database includes 1,978,451 verified company records, giving you a clear, up-to-date view of one of Asia’s most dynamic business hubs.
Each Hong Kong company profile is packed with firmographic and structural data, including company name, registration number, business status, legal entity type, incorporation date, and industry classification. Many records are enhanced with decision-maker contact details, such as email addresses, mobile numbers, and direct phone lines, where available.
Our Hong Kong company data is trusted for a wide range of business applications, including compliance and KYC checks, B2B lead generation, sales outreach, market research, CRM enrichment, and AI model training. Whether you're targeting global enterprises, SMEs, or startups registered in Hong Kong, our database gives you the clarity and precision you need.
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Latvia LV: Ease of Doing Business Index: 1=Most Business-friendly Regulations data was reported at 19.000 NA in 2017. Latvia LV: Ease of Doing Business Index: 1=Most Business-friendly Regulations data is updated yearly, averaging 19.000 NA from Dec 2017 (Median) to 2017, with 1 observations. Latvia LV: Ease of Doing Business Index: 1=Most Business-friendly Regulations data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Latvia – Table LV.World Bank.WDI: Business Environment. Ease of doing business ranks economies from 1 to 190, with first place being the best. A high ranking (a low numerical rank) means that the regulatory environment is conducive to business operation. The index averages the country's percentile rankings on 10 topics covered in the World Bank's Doing Business. The ranking on each topic is the simple average of the percentile rankings on its component indicators.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; ; Data are presented for the survey year instead of publication year. Data before 2013 are not comparable with data from 2013 onward due to methodological changes.
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Global Relational Database market size is expected to reach $137.35 billion by 2029 at 13.1%, segmented as by training and consulting services, database architecture consulting, performance optimization training, compliance and security training
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The global database market size was valued at approximately USD 67 billion in 2023 and is projected to reach USD 138 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.3%. The market is poised for significant growth due to the increasing demand for data storage solutions and the rapid digital transformation across various industries. As businesses continue to generate massive volumes of data, the need for efficient and scalable database solutions is becoming more critical than ever. This growth is further propelled by advancements in cloud computing and the increasing adoption of artificial intelligence and machine learning technologies, which require robust database management systems to handle complex data sets.
One of the primary growth factors for the database market is the exponential increase in data generation from various sources, including social media, IoT devices, and enterprise applications. As organizations strive to leverage data for competitive advantage, the demand for sophisticated database technologies that can manage, process, and analyze large volumes of data is on the rise. These technologies enable businesses to gain actionable insights, improve decision-making, and enhance customer experiences. Additionally, the proliferation of connected devices and the Internet of Things (IoT) are contributing to the surge in data volume, necessitating the deployment of advanced database systems to handle the influx of information efficiently.
The cloud computing revolution is another significant growth driver for the database market. With the increasing adoption of cloud-based services, organizations are shifting from traditional on-premises database solutions to cloud-based database management systems. This transition is driven by the need for scalability, flexibility, and cost-effectiveness, as cloud solutions offer the ability to scale resources up or down based on demand. Cloud databases also provide enhanced data security, disaster recovery, and backup solutions, making them an attractive option for businesses of all sizes. Moreover, cloud service providers continuously innovate by offering managed database services, reducing the burden on IT departments and allowing organizations to focus on core business activities.
The rise of artificial intelligence (AI) and machine learning (ML) technologies is also playing a crucial role in shaping the future of the database market. These technologies require robust and dynamic database systems capable of handling complex algorithms and large data sets. Databases optimized for AI and ML applications enable organizations to harness the power of predictive analytics, automation, and data-driven decision-making. The integration of AI and ML with database systems enhances the ability to identify patterns, detect anomalies, and predict future trends, further driving the demand for advanced database solutions.
From a regional perspective, North America is expected to dominate the database market, owing to the presence of established technology companies and the rapid adoption of advanced technologies. The region's mature IT infrastructure and the increasing need for data-driven insights in various industries contribute to the market's growth. Asia Pacific is anticipated to witness the highest growth rate during the forecast period, driven by the increasing digitization efforts, rising internet penetration, and the growing popularity of cloud-based solutions. Europe is also expected to experience significant growth due to the expanding IT sector and the increasing adoption of data analytics solutions across industries.
The database market can be segmented by type into relational, non-relational, cloud, and others. Relational databases are among the oldest and most established types of database systems, widely used across industries due to their ability to handle structured data efficiently. These databases rely on structured query language (SQL) for managing and manipulating data, making them suitable for applications that require complex querying and transaction processing. Despite their maturity, relational databases continue to evolve, with advancements such as NewSQL and distributed SQL databases enhancing their scalability and performance for modern applications.
Non-relational databases, also known as NoSQL databases, have gained popularity in recent years due to their flexibility and ability to handle unstructured data. These databases are designed to accommodate a diverse range of data types, making them ideal for applications involving large v
CompanyData.com powered by BoldData provides verified, high-quality company information sourced directly from official trade registers around the world. We help businesses unlock insights, drive compliance and scale with confidence using reliable data.
Our Russia company database contains over 3,178,171 verified business records, covering companies across all regions of the Russian Federation. Each record includes in-depth firmographic data such as industry codes, company size and turnover, as well as corporate hierarchies, and verified contact information including emails, phone numbers and decision-makers when available.
This comprehensive dataset supports a wide range of business applications - Compliance and KYC verification - AML checks and regulatory reporting - Sales and business development - B2B marketing and targeting - CRM enrichment and database cleansing - AI training and market research
We offer flexible delivery options to suit your business requirements - Custom company lists filtered by location, sector or company size - Full Russian company database delivered in Excel or CSV - Real-time API access for seamless integration - Data enrichment services for updating and validating your internal records
Russia is part of our global coverage of more than 3,178,171 verified companies across 200+ countries, making CompanyData.com a trusted partner for international data-driven growth. Whether you are navigating compliance in Eastern Europe or expanding your sales footprint, our verified data ensures you move forward with clarity and confidence.
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CompanyData.com powered by BoldData delivers trusted, verified business data from official trade registers around the world. We help companies identify opportunities, ensure compliance and accelerate growth through accurate, high-quality company information.
Our Austria company database includes over 852,376 verified business records, covering the full spectrum of registered companies across all regions of Austria. Each record contains detailed firmographic data such as industry classification, company size, and turnover, along with verified contact information including decision-makers, email addresses, phone numbers and company hierarchies.
This accurate, up-to-date dataset supports a wide range of business needs - Compliance and KYC checks - AML and due diligence processes - Sales and lead generation - B2B marketing and market segmentation - CRM enrichment and data cleansing - AI model training and analytics
Flexible delivery options ensure a seamless fit for your workflow - Tailored company lists filtered by your target criteria - Complete Austria company database in Excel or CSV format - Real-time API access for integration into your systems - Data enrichment services to update and improve your internal datasets
Austria is one part of our global network of over 852,376 verified companies across 200+ countries, making CompanyData.com a trusted source for international business intelligence. Whether you're targeting the Austrian market or building a global strategy, we provide the data foundation you need to succeed.
Start accessing accurate, verified company data in Austria—delivered how and when you need it by the experts at CompanyData.com.
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:
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.
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.
Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.
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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.
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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.
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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...
McGRAW’s US B2B Data: Accurate, Reliable, and Market-Ready
Our B2B database delivers over 80 million verified contacts with 95%+ accuracy. Supported by in-house call centers, social media validation, and market research teams, we ensure that every record is fresh, reliable, and optimized for B2B outreach, lead generation, and advanced market insights.
Our B2B database is one of the most accurate and extensive datasets available, covering over 91 million business executives with a 95%+ accuracy guarantee. Designed for businesses that require the highest quality data, this database provides detailed, validated, and continuously updated information on decision-makers and industry influencers worldwide.
The B2B Database is meticulously curated to meet the needs of businesses seeking precise and actionable data. Our datasets are not only extensive but also rigorously validated and updated to ensure the highest level of accuracy and reliability.
Key Data Attributes:
Unlike many providers that rely solely on third-party vendor files, McGRAW takes a hands-on approach to data validation. Our dedicated nearshore and offshore call centers engage directly with data before each delivery to ensure every record meets our high standards of accuracy and relevance.
In addition, our teams of social media validators, market researchers, and digital marketing specialists continuously refine and update records to maintain data freshness. Each dataset undergoes multiple verification checks using internal validation processes and third-party tools such as Fresh Address, BriteVerify, and Impressionwise to guarantee the highest data quality.
Additional Data Solutions and Services
Data Enhancement: Email and LinkedIn appends, contact discovery across global roles and functions
Business Verification: Real-time validation through call centers, social media, and market research
Technology Insights: Detailed IT infrastructure reports, spending trends, and executive insights
Healthcare Database: Access to over 80 million healthcare professionals and industry leaders
Global Reach: US and international GDPR-compliant datasets, complete with email, postal, and phone contacts
Email Broadcast Services: Full-service campaign execution, from testing to live deployment, with tracking of key engagement metrics such as opens and clicks
Many B2B data providers rely on vendor-contributed files without conducting the rigorous validation necessary to ensure accuracy. This often results in outdated and unreliable data that fails to meet the demands of a fast-moving business environment.
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Through continuous validation, social media verification, and real-time updates, McGRAW provides a high-quality, dependable database for businesses that prioritize data integrity and performance. Our Global Business Executives database is the ideal solution for companies that need accurate, relevant, and market-ready data to fuel their strategies.
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Global NoSQL Database market size is expected to reach $50.39 billion by 2029 at 34.1%, segmented as by key-value store, distributed key-value stores, in-memory key-value stores, persistent key-value stores, caching solutions
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Saudi Arabia SA: New Businesses Registered data was reported at 9,726.000 Number in 2016. This records a decrease from the previous number of 10,687.000 Number for 2015. Saudi Arabia SA: New Businesses Registered data is updated yearly, averaging 6,580.000 Number from Dec 2006 (Median) to 2016, with 11 observations. The data reached an all-time high of 10,687.000 Number in 2015 and a record low of 3,146.000 Number in 2006. Saudi Arabia SA: New Businesses Registered data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Saudi Arabia – Table SA.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.
Company Intelligence
Name and Websites - Company Website and Alternative Domains.
Address - Standardized headquarter Address, City, Region, Zip Code, and Country
LAT / LONG - Used for Geo Location
Locations - Additional office locations of the business
Phone - Standardized headquarter phone with country code
Social Profiles - LinkedIn, CrunchBase, Facebook, Twitter, Yelp, Instagram
Type - Headquarters, Branch, Local Only
Description - detailed overview of the company business model and pursuit.
Industry - Standardized Industries to segment companies by their most notable contributions
Sector - 20 industry groupings
Specialties - Non industry details shared by the company to better understand what they do
SIC Code - 839 industry classifications and their definitions
Revenue - Annual revenue from 1M to over 1B
Employee - Number of Employees at the company
Similar Companies - used to identify competitors Funding - for start up data IP Address - from the hosted website Affiliated Companies - company hierarchy