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Maharashtra-Wide Factory Units Contacts | May 2026 Snapshot Database of Maharashtra, India Updated June 2026

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Maharashtra-Wide Factory Units Contacts | May 2026 Snapshot Database of Maharashtra, India Updated June 2026 4.2 ★★★★★ ★★★★★ Verified buyers
Updated: Jul 08, 2026

🌐 Maharashtra-Wide Factory Units Contacts | May 2026 Snapshot Database of Maharashtra, India Updated June 2026

Unlock actionable insights and supercharge your sales pipeline. Download this verified, analysis-ready dataset today.

Rows (Regular)4,871
Rows (Extended)10,825
Sales0
Views5
CountryIndia
📦 Bulk Data Provider
On Sale

Coverage across Maharashtra

This dataset covers 10,825 verified records spread across 38+ districts in Maharashtra. 10,825 records carry a verified phone number and 3,789 include a business website — directly usable for outreach, segmentation, and CRM import.

The highest-density districts are Gondia (2,560 listings), Washim (1,280 listings), Jalna (853 listings), Mumbai Suburban (640 listings), Osmanabad (512 listings), Akola (427 listings), Nanded (366 listings), and Mumbai (320 listings).

Additional coverage spans Mumbai City (284), Sangli (256), Chandrapur (233), Navi Mumbai (213), Hingoli (197), Palghar (183), Parbhani (171), Solapur (160), Nagpur (151), Beed (142), Buldhana (135), Latur (128) , plus 18 more districts.

Coverage in Maharashtra — by district

Total rows:10,825 With mobile:10,825 With website:3,789
Districts Total With mobile With website
Gondia 2,560 2,560 896
Washim 1,280 1,280 448
Jalna 853 853 299
Mumbai Suburban 640 640 224
Osmanabad 512 512 179
Akola 427 427 149
Nanded 366 366 128
Mumbai 320 320 112
Mumbai City 284 284 99
Sangli 256 256 90
All districts (38) 10,825 10,825 3,789

Coverage in Maharashtra — all 38 districts

Districts Total With mobile With website
Gondia 2,560 2,560 896
Washim 1,280 1,280 448
Jalna 853 853 299
Mumbai Suburban 640 640 224
Osmanabad 512 512 179
Akola 427 427 149
Nanded 366 366 128
Mumbai 320 320 112
Mumbai City 284 284 99
Sangli 256 256 90
Chandrapur 233 233 82
Navi Mumbai 213 213 75
Hingoli 197 197 69
Palghar 183 183 64
Parbhani 171 171 60
Solapur 160 160 56
Nagpur 151 151 53
Beed 142 142 50
Buldhana 135 135 47
Latur 128 128 45
Yavatmal 122 122 43
Ahmednagar 116 116 41
Wardha 111 111 39
Thane 107 107 37
Satara 102 102 36
Amravati 98 98 34
Raigad 95 95 33
Jalgaon 91 91 32
Bhandara 88 88 31
Kolhapur 85 85 30
Nandurbar 83 83 29
Gadchiroli 80 80 28
Nashik 78 78 27
Aurangabad 75 75 26
Pune 73 73 26
Sindhudurg 71 71 25
Dhule 70 70 25
Ratnagiri 69 69 24
All districts (38) 10,825 10,825 3,789

Factory Units Database — India

The Factory Units database for Maharashtra, India includes 10,825+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.

How to use this data

  • Cold outbound — load the factory units CSV into your dialer and start booking meetings in Maharashtra, India same-day.
  • Market research — benchmark factory units density, pricing and review sentiment across Maharashtra, India.
  • Pipeline reporting — surface factory units pipeline coverage in Maharashtra, India by city and state in your sales dashboards.

Frequently asked about this dataset

How many businesses are in the Factory Units database for Maharashtra, India?

The Factory Units database for Maharashtra, India contains 10,825+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.

Where can I download a Factory Units database for Maharashtra, India?

The complete Factory Units database for Maharashtra, India is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.

What fields are included in the Factory Units dataset?

Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.

How accurate is the Factory Units data for Maharashtra, India?

Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live factory units footprint in Maharashtra, India.

Is the Factory Units dataset updated regularly?

Yes. The Factory Units dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.

Can I use the Factory Units data for marketing and outreach?

Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.

What format do I receive the Factory Units database in?

You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.

How quickly can I download the dataset after purchase?

Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.

About the Factory Units Database in Maharashtra, India

This World Wide Data list covers 10,825+ verified records operating in Maharashtra, India. Every entry is compiled by the Data2Sales AI engine from multiple verified sources, de-duplicated against our master index, and refreshed each month — saving sales, marketing, and research teams the manual cleanup normally needed before outreach.

License Option
Licenses terms
Accuracy 95–98% Instant download Refreshed monthly CSV / Excel

Last Update:

Jul 08, 2026 13:38 PM

Published:

May 11, 2026 02:25 AM

Rows (Regular):

4,871

Rows (Extended):

10,825

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