CompanyData.com, powered by BoldData, delivers high-quality, verified B2B company information from official trade registers around the world. Our India company database includes 32,468,995 verified business records, giving you powerful insight into one of the fastest-growing economies on the planet.

Each company profile is rich with firmographic data, including company name, CIN (Corporate Identification Number), registration number, legal status, industry classification (NIC codes), revenue range, and employee size. Many records are enhanced with contact details such as email addresses, phone numbers, and names of key decision-makers, supporting direct outreach and smarter segmentation.

Our India dataset is designed for a wide range of business applications — from KYC and AML compliance, due diligence, and regulatory checks, to B2B sales, lead generation, marketing campaigns, CRM enrichment, and AI model training. Whether you’re targeting local startups or large enterprises, our data helps you connect with the right businesses at the right time.

Delivery is flexible to suit your needs. Choose from customized lists, full databases in Excel or CSV, access via our real-time API, or our intuitive self-service platform. We also offer data enrichment and cleansing services to refresh and improve your existing datasets with accurate, up-to-date company information from India.

With access to 32,468,995 verified companies across more than 200 countries, CompanyData.com helps businesses grow confidently — in India and beyond. Rely on our precise, structured data to fuel your strategies and scale with speed and accuracy.

India Number of Registered Company data was reported at 1,171,230.000 Unit in 2018. This records a decrease from the previous number of 1,172,583.000 Unit for 2017. India Number of Registered Company data is updated yearly, averaging 152,036.000 Unit from Mar 1957 (Median) to 2018, with 62 observations. The data reached an all-time high of 1,172,583.000 Unit in 2017 and a record low of 26,682.000 Unit in 1962. India Number of Registered Company data remains active status in CEIC and is reported by Ministry of Corporate Affairs. The data is categorized under Global Database’s India – Table IN.OC001: Registered Company: At Work.

Obtain unmatched insights into the Indian market using our database of over 2.5 million company profiles. Our Xverum team is client-oriented and we focus on delivering structured and fresh B2B and brand data, enabling you to make informed decisions and drive your business forward.

      Where this Indian B2B data can benefit you?

Competitor Analysis: Assess potential risks associated with specific real-time brand data, enabling you to mitigate financial and reputational risks in your business dealings.

Direct Marketing: Utilize our business data to target your marketing efforts with precision, reaching the right audience for your products and services.

B2B List Validation: Ensure the accuracy and legitimacy of your B2B contact lists, optimizing your lead generation and sales efforts.

With our comprehensive database of over 2.5 million Indian company profiles, you have the power to make informed decisions, drive your business strategy, and achieve success in the dynamic Indian market.

4 key features of our Indian data: - 40+ Data Attributes per Company Profile - Structured and Raw Data - Easily Integrated into Your Solutions - 100% Safe Source Promise

Contact our Xverum team and we'll be glad to find the best option due to your data requirements.

Please Note: Our dataset does not include PII and/or phone numbers.

With 19.7 Million Businesses in India , Techsalerator has access to the highest B2B count of Data/Business Data in the country. .

Thanks to our unique tools and large data specialist team, we can select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

We cover all cities and regions in India ( example ) :

Mumbai Maharashtra Delhi Delhi Bangalore Karnataka Hyderabad Telangana Ahmedabad Gujarat Chennai Tamil Nadu Kolkata West Bengal Surat Gujarat Pune Maharashtra Jaipur Rajasthan Lucknow Uttar Pradesh Kanpur Uttar Pradesh Nagpur Maharashtra Indore Madhya Pradesh Thane Maharashtra Bhopal Madhya Pradesh Visakhapatnam[4] Andhra Pradesh Pimpri-Chinchwad Maharashtra Patna Bihar Vadodara Gujarat Ghaziabad Uttar Pradesh Ludhiana Punjab Agra Uttar Pradesh Nashik Maharashtra Ranchi Jharkhand Faridabad Haryana Meerut Uttar Pradesh Rajkot Gujarat Kalyan-Dombivli Maharashtra Vasai-Virar Maharashtra Varanasi Uttar Pradesh Srinagar Jammu and Kashmir Aurangabad Maharashtra Dhanbad Jharkhand Gurgaon[5] Haryana Amritsar Punjab Navi Mumbai Maharashtra Allahabad Uttar Pradesh[6] Howrah West Bengal Gwalior Madhya Pradesh Jabalpur Madhya Pradesh Coimbatore Tamil Nadu Vijayawada Andhra Pradesh Jodhpur Rajasthan Madurai Tamil Nadu Raipur Chhattisgarh Kota[8] Rajasthan Chandigarh Chandigarh Guwahati Assam Solapur Maharashtra Hubli–Dharwad Karnataka Mysore[9][10][11] Karnataka Tiruchirappalli[12] Tamil Nadu Bareilly Uttar Pradesh Aligarh Uttar Pradesh Tiruppur Tamil Nadu Moradabad Uttar Pradesh Jalandhar Punjab Bhubaneswar Odisha Salem Tamil Nadu Warangal[13][14] Telangana Mira-Bhayandar Maharashtra Jalgaon Maharashtra Guntur[15] Andhra Pradesh Thiruvananthapuram Kerala Bhiwandi Maharashtra Tirupati Andhra Pradesh Saharanpur Uttar Pradesh Gorakhpur Uttar Pradesh Bikaner Rajasthan Amravati Maharashtra Noida Uttar Pradesh Jamshedpur Jharkhand Bhilai Chhattisgarh Cuttack Odisha Firozabad Uttar Pradesh Kochi Kerala Nellore[16][17] Andhra Pradesh Bhavnagar Gujarat Dehradun Uttarakhand Durgapur West Bengal Asansol West Bengal Rourkela Odisha Nanded Maharashtra Kolhapur Maharashtra Ajmer Rajasthan Akola Maharashtra Gulbarga Karnataka Jamnagar Gujarat Ujjain Madhya Pradesh Loni Uttar Pradesh Siliguri West Bengal Jhansi Uttar Pradesh Ulhasnagar Maharashtra Jammu[18] Jammu and Kashmir Sangli-Miraj & Kupwad Maharashtra Mangalore Karnataka Erode[19] Tamil Nadu Belgaum Karnataka Kurnool[20] Andhra Pradesh Ambattur Tamil Nadu Rajahmundry[21][22] Andhra Pradesh Tirunelveli Tamil Nadu Malegaon Maharashtra Gaya Bihar Udaipur Rajasthan Karur Tamilnadu Kakinada Andhra Pradesh Davanagere Karnataka Kozhikode Kerala Maheshtala West Bengal Rajpur Sonarpur West Bengal Bokaro Jharkhand South Dumdum West Bengal Bellary Karnataka Patiala Punjab Gopalpur West Bengal Agartala Tripura Bhagalpur Bihar Muzaffarnagar Uttar Pradesh Bhatpara West Bengal Panihati West Bengal Latur Maharashtra Dhule Maharashtra Rohtak Haryana Sagar Madhya Pradesh Korba Chhattisgarh Bhilwara Rajasthan Berhampur Odisha Muzaffarpur Bihar Ahmednagar Maharashtra Mathura Uttar Pradesh Kollam Kerala Avadi Tamil Nadu Kadapa[23] Andhra Pradesh Anantapuram[24] Andhra Pradesh Kamarhati West Bengal Bilaspur Odisha Sambalpur Odisha Shahjahanpur Uttar Pradesh Satara Maharashtra Bijapur Karnataka Rampur Uttar Pradesh Shimoga Karnataka Chandrapur Maharashtra Junagadh Gujarat Thrissur Kerala Alwar Rajasthan Bardhaman West Bengal Kulti West Bengal Nizamabad Telangana Parbhani Maharashtra Tumkur Karnataka Khammam Telangana Uzhavarkarai Puducherry Bihar Sharif Bihar Panipat Haryana Darbhanga Bihar Bally West Bengal Aizawl Mizoram Dewas Madhya Pradesh Ichalkaranji Maharashtra Karnal Haryana Bathinda Punjab Jalna Maharashtra Eluru[25] Andhra Pradesh Barasat West Bengal Kirari Suleman Nagar Delhi Purnia[26] Bihar Satna Madhya Pradesh Mau Uttar Pradesh Sonipat Haryana Farrukhabad Uttar Pradesh Durg Chhattisgarh Imphal Manipur Ratlam Madhya Pradesh Hapur Uttar Pradesh Arrah Bihar Anantapur Andhra Pradesh Karimnagar Telangana Etawah Uttar Pradesh Ambarnath Maharashtra North Dumdum West Bengal Bharatpur Rajasthan Begusarai Bihar New Delhi Delhi Gandhidham Gujarat Baranagar West Bengal Tiruvottiyur Tamil Nadu Pondicherry Puducherry Sikar Rajasthan Thoothukudi Tamil Nadu Rewa Madhya Pradesh Mirzapur Uttar Pradesh Raichur Karnataka Pali Rajasthan Ramagundam[27] Telangana Silchar Assam Haridwar Uttarakhand Vijayanagaram Andhra Pradesh Tenali Andhra Pradesh Nagercoil Tamil Nadu Sri Ganganagar Rajasthan ...

Comprehensive database of 112,000+ registered Indian companies with financial and registration information

Comprehensive dataset containing 45,895 verified Insurance company businesses in India with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 12,653 verified Indian restaurant businesses in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 100,866 verified Indian restaurant businesses in India with complete contact information, ratings, reviews, and location data.

India Number of Registered Company: At Work: Foreign: United Arab Emirates data was reported at 57.000 Unit in 2018. This stayed constant from the previous number of 57.000 Unit for 2017. India Number of Registered Company: At Work: Foreign: United Arab Emirates data is updated yearly, averaging 38.500 Unit from Mar 2005 (Median) to 2018, with 14 observations. The data reached an all-time high of 57.000 Unit in 2018 and a record low of 14.000 Unit in 2005. India Number of Registered Company: At Work: Foreign: United Arab Emirates 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.OC005: Registered Company: At Work: Foreign: by Country.

Comprehensive dataset containing 2,567 verified Indian grocery store businesses in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset of 6,838 Indian restaurants in Uttar Pradesh, India as of August, 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.

11 Active Global Indian Company buyers list and Global Indian Company importers directory compiled from actual Global import shipments of Indian Company.

Comprehensive dataset containing 24,558 verified North Indian restaurant businesses in India with complete contact information, ratings, reviews, and location data.

NGNBF&I: Miscellaneous: Assets: Current: Investments: Indian Companies data was reported at 43,370.000 INR mn in 2019. This records an increase from the previous number of 38,210.000 INR mn for 2018. NGNBF&I: Miscellaneous: Assets: Current: Investments: Indian Companies data is updated yearly, averaging 6,035.000 INR mn from Mar 2012 (Median) to 2019, with 8 observations. The data reached an all-time high of 43,370.000 INR mn in 2019 and a record low of 960.000 INR mn in 2013. NGNBF&I: Miscellaneous: Assets: Current: Investments: Indian Companies data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBU011: Non Government Non Banking Financial and Investment Companies (NGNBF&I): Balance Sheet: Miscellaneous.

Comprehensive dataset containing 4 verified Indian grocery store businesses in Argentina with complete contact information, ratings, reviews, and location data.

NGNBF&I: Diversified: Uses: Current Assets: Investments: Indian Companies data was reported at 700.000 INR mn in 2019. This records an increase from the previous number of -690.000 INR mn for 2018. NGNBF&I: Diversified: Uses: Current Assets: Investments: Indian Companies data is updated yearly, averaging 330.000 INR mn from Mar 2013 (Median) to 2019, with 7 observations. The data reached an all-time high of 2,140.000 INR mn in 2014 and a record low of -690.000 INR mn in 2018. NGNBF&I: Diversified: Uses: Current Assets: Investments: Indian Companies data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBU016: Non Government Non Banking Financial and Investment Companies (NGNBF&I): Flow of Funds: Diversified.

Comprehensive dataset containing 3,765 verified Indian takeaway businesses in India with complete contact information, ratings, reviews, and location data.

The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2010 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

Comprehensive dataset containing 54 verified Indian grocery store businesses in New York, United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 4,439 verified Indian restaurant businesses in West Bengal, India with complete contact information, ratings, reviews, and location data.