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This dataset covers 16,446 verified records spread across 199+ cities in Madhya Pradesh. 16,446 records carry a verified phone number and 2,518 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density cities are Indore (1,738 listings), Bhopal (1,318 listings), Jabalpur (1,180 listings), Gwalior (1,156 listings), Ujjain (326 listings), Khandwa (143 listings), Neemuch (121 listings), and Shahdol (120 listings).
Additional coverage spans Vidisha (108), Katni (101), Rewa (98), Satna (91), Harda (89), Guna (89), Shajapur (88), Dhar (83), Sagar (82), Agar (81), Ashoknagar (81), Damoh (81) , plus 179 more cities.
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Indore | 1,738 | 1,738 | 358 |
| Bhopal | 1,318 | 1,318 | 264 |
| Jabalpur | 1,180 | 1,180 | 181 |
| Gwalior | 1,156 | 1,156 | 285 |
| Ujjain | 326 | 326 | 63 |
| Khandwa | 143 | 143 | 27 |
| Neemuch | 121 | 121 | 18 |
| Shahdol | 120 | 120 | 17 |
| Vidisha | 108 | 108 | 20 |
| Katni | 101 | 101 | 23 |
| All cities (201) | 16,446 | 16,446 | 2,518 |
| Cities | Total | With mobile | With website |
|---|---|---|---|
| Indore | 1,738 | 1,738 | 358 |
| Bhopal | 1,318 | 1,318 | 264 |
| Jabalpur | 1,180 | 1,180 | 181 |
| Gwalior | 1,156 | 1,156 | 285 |
| Ujjain | 326 | 326 | 63 |
| Khandwa | 143 | 143 | 27 |
| Neemuch | 121 | 121 | 18 |
| Shahdol | 120 | 120 | 17 |
| Vidisha | 108 | 108 | 20 |
| Katni | 101 | 101 | 23 |
| Rewa | 98 | 98 | 20 |
| Satna | 91 | 91 | 12 |
| Harda | 89 | 89 | 18 |
| Guna | 89 | 89 | 15 |
| Shajapur | 88 | 88 | 17 |
| Other (unspecified) | 83 | 83 | 17 |
| Dhar | 83 | 83 | 16 |
| Sagar | 82 | 82 | 8 |
| Agar | 81 | 81 | 6 |
| Ashoknagar | 81 | 81 | 14 |
| Damoh | 81 | 81 | 14 |
| Multai | 80 | 80 | 8 |
| Khachrod | 79 | 79 | 8 |
| Mandsaur | 79 | 79 | 20 |
| Khargone | 79 | 79 | 17 |
| Dewas | 76 | 76 | 14 |
| Dindori | 76 | 76 | 9 |
| Bareli | 76 | 76 | 14 |
| Sidhi | 74 | 74 | 7 |
| Datia | 74 | 74 | 10 |
| Balaghat | 73 | 73 | 9 |
| Chhatarpur | 73 | 73 | 8 |
| Nowgong | 73 | 73 | 6 |
| Morena | 73 | 73 | 15 |
| Burhanpur | 72 | 72 | 21 |
| Khurai | 71 | 71 | 9 |
| Mandla | 70 | 70 | 9 |
| Sihora | 64 | 64 | 9 |
| Seoni | 64 | 64 | 10 |
| Tikamgarh | 64 | 64 | 9 |
| Nagda | 62 | 62 | 11 |
| Sendhwa | 59 | 59 | 7 |
| Sarangpur | 57 | 57 | 7 |
| Pachore | 55 | 55 | 4 |
| Sehore | 55 | 55 | 11 |
| Chhindwara | 54 | 54 | 9 |
| Panna | 53 | 53 | 3 |
| Narmadapuram | 51 | 51 | 9 |
| Ratlam | 51 | 51 | 11 |
| Anuppur | 50 | 50 | 7 |
| Beohari | 49 | 49 | 8 |
| Jaora | 49 | 49 | 4 |
| Narsinghpur | 49 | 49 | 7 |
| Sheopur | 48 | 48 | 7 |
| Betul | 48 | 48 | 12 |
| Nagod | 48 | 48 | 5 |
| Rajgarh | 48 | 48 | 5 |
| Sonkatch | 46 | 46 | 7 |
| Barwaha | 45 | 45 | 4 |
| Dabra | 45 | 45 | 7 |
| Ashta | 44 | 44 | 8 |
| Aron | 44 | 44 | 3 |
| Jhabua | 43 | 43 | 14 |
| Kukshi | 43 | 43 | 11 |
| Bhikangaon | 43 | 43 | 3 |
| Talen | 43 | 43 | 1 |
| Gohad | 43 | 43 | 10 |
| Depalpur | 43 | 43 | 6 |
| Bhind, Kiratpura | 42 | 42 | 8 |
| Pithampur | 42 | 42 | 7 |
| Gadarwara | 41 | 41 | 6 |
| Mungaoli | 41 | 41 | 3 |
| Sironj | 41 | 41 | 9 |
| Waidhan | 41 | 41 | 11 |
| Joura | 39 | 39 | 6 |
| Shahpura | 39 | 39 | 4 |
| Garoth | 38 | 38 | 4 |
| Ambah | 38 | 38 | 14 |
| Biaora | 37 | 37 | 4 |
| Bhind | 36 | 36 | 9 |
| Indergarh | 35 | 35 | 3 |
| Jabalpur, Raksha | 34 | 34 | 4 |
| Barwani | 33 | 33 | 8 |
| Unhel | 33 | 33 | 1 |
| Kailaras, Antari | 33 | 33 | 0 |
| Singrauli | 33 | 33 | 2 |
| Pali Birsinghpur | 32 | 32 | 8 |
| Udaipura | 32 | 32 | 2 |
| Waraseoni | 31 | 31 | 0 |
| Shujalpur | 31 | 31 | 5 |
| Sailana | 30 | 30 | 1 |
| Itarsi | 28 | 28 | 2 |
| Sohagpur | 28 | 28 | 1 |
| Bhainsdehi | 28 | 28 | 1 |
| Hatta | 28 | 28 | 3 |
| Lakhnadon | 27 | 27 | 6 |
| Prithvipur | 27 | 27 | 5 |
| Badnawar | 27 | 27 | 4 |
| Khirkiya | 27 | 27 | 2 |
| Manasa | 26 | 26 | 4 |
| Nawanagar | 26 | 26 | 1 |
| Lanji | 26 | 26 | 0 |
| Alirajpur | 25 | 25 | 5 |
| Umaria | 25 | 25 | 3 |
| Bamhani | 25 | 25 | 0 |
| Kolaras | 24 | 24 | 2 |
| Kandeli, Narsinghpur | 23 | 23 | 4 |
| Bilpura, Jabalpur | 23 | 23 | 0 |
| Kotma | 22 | 22 | 2 |
| Lahar | 22 | 22 | 7 |
| Anjad | 22 | 22 | 2 |
| Baihar | 22 | 22 | 2 |
| Sitamau | 22 | 22 | 0 |
| Tal | 22 | 22 | 2 |
| Mauganj | 21 | 21 | 5 |
| Raisen | 21 | 21 | 2 |
| Bankhedi | 21 | 21 | 1 |
| Bichhua | 21 | 21 | 2 |
| Porsa | 21 | 21 | 3 |
| Susner | 21 | 21 | 1 |
| Karera | 21 | 21 | 3 |
| Dr. Ambedkar Nagar | 21 | 21 | 4 |
| Pandhurna | 20 | 20 | 1 |
| Barhi | 20 | 20 | 1 |
| Palera | 20 | 20 | 0 |
| Baroda | 20 | 20 | 0 |
| Pansemal | 20 | 20 | 2 |
| Bijuri | 19 | 19 | 0 |
| Bada Malhera | 19 | 19 | 2 |
| Pipariya | 19 | 19 | 1 |
| Shivpuri | 19 | 19 | 7 |
| Parasia | 18 | 18 | 2 |
| Khaniadhana | 18 | 18 | 2 |
| Amla | 18 | 18 | 1 |
| Babai | 18 | 18 | 2 |
| Rehli | 18 | 18 | 3 |
| Sabalgarh | 18 | 18 | 2 |
| Niwari | 17 | 17 | 0 |
| Majholi | 17 | 17 | 1 |
| Sanwer | 17 | 17 | 1 |
| Maheshwar | 17 | 17 | 2 |
| Thikri | 17 | 17 | 1 |
| Nalkheda | 17 | 17 | 1 |
| Sausar | 17 | 17 | 2 |
| Sirali | 16 | 16 | 1 |
| Manpur | 16 | 16 | 0 |
| Panagar | 16 | 16 | 0 |
| Kareli | 16 | 16 | 5 |
| Kareli, Imaliya | 15 | 15 | 3 |
| Soyat Kalan | 15 | 15 | 1 |
| Hatpipliya | 15 | 15 | 1 |
| Garhakota | 15 | 15 | 0 |
| Katangi | 15 | 15 | 0 |
| Mohan Babodiya | 15 | 15 | 1 |
| Ichhawar | 15 | 15 | 4 |
| Rampur | 15 | 15 | 1 |
| Sarai | 15 | 15 | 2 |
| Jhansi | 15 | 15 | 1 |
| Lavkush Nagar | 14 | 14 | 2 |
| Begumganj | 14 | 14 | 0 |
| Shahpur | 14 | 14 | 1 |
| Berasia, Tikankhedi | 14 | 14 | 2 |
| Bhavra | 14 | 14 | 2 |
| Maihar | 13 | 13 | 1 |
| Pawai | 13 | 13 | 2 |
| Amarwara | 13 | 13 | 1 |
| Budhni | 13 | 13 | 1 |
| Silwani | 13 | 13 | 0 |
| Simrol | 13 | 13 | 2 |
| Nasrullaganj | 13 | 13 | 0 |
| Guna, Piproda Khurd | 13 | 13 | 0 |
| Manawar | 12 | 12 | 0 |
| Jobat | 12 | 12 | 0 |
| Tendukheda | 12 | 12 | 0 |
| Deori | 12 | 12 | 0 |
| Jatara | 12 | 12 | 0 |
| Seondha | 12 | 12 | 0 |
| Mihona | 12 | 12 | 3 |
| Gohad, Banipura | 12 | 12 | 3 |
| Tarana | 12 | 12 | 2 |
| Amanganj | 12 | 12 | 0 |
| Gorakhpur | 12 | 12 | 2 |
| Suhagi, Jabalpur | 11 | 11 | 0 |
| Rehti | 11 | 11 | 0 |
| Ghansor | 11 | 11 | 2 |
| Alote | 11 | 11 | 0 |
| Saikheda | 11 | 11 | 2 |
| Rajpur | 11 | 11 | 0 |
| Gairatganj | 11 | 11 | 0 |
| Piplia Mandi | 11 | 11 | 0 |
| Pandhurna, Nandpur | 11 | 11 | 1 |
| Narwar | 11 | 11 | 0 |
| Petlawad | 10 | 10 | 0 |
| Imliya, Bhopal | 10 | 10 | 0 |
| Vindhyanagar | 10 | 10 | 1 |
| Hyderabad | 10 | 10 | 4 |
| Amarpatan | 10 | 10 | 1 |
| Tarana, Taranakasba | 10 | 10 | 0 |
| Unchehara | 10 | 10 | 0 |
| Sanawad | 10 | 10 | 1 |
| Smaller regions (combined) | 3,743 | 3,743 | 404 |
| All cities (201) | 16,446 | 16,446 | 2,518 |
The Mobile shop database for Madhya Pradesh, India includes 16,446+ 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.
Aarushi (IN) bought 4 days ago · Monica (IN) bought 6 days ago · Charandeep (IN) bought 1 week ago · Rashid (IN) bought 1 week ago · Diya (IN) bought 1 week ago
The Mobile shop database for Madhya Pradesh, India contains 16,446+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.
The complete Mobile shop database for Madhya Pradesh, 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.
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.
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 mobile shop footprint in Madhya Pradesh, India.
Yes. The Mobile shop 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.
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.
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.
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.
Looking to expand your reach within the bustling mobile retail sector of Madhya Pradesh? This curated list of 16,440 contacts focuses on independent mobile shops, crucial for understanding local market saturation and identifying prime locations for B2B sales of accessories, repair services, or wholesale devices.
Last Update:
Jun 30, 2026 03:54 AM
Published:
Apr 28, 2026 18:29 PM
Rows (Regular):
7,401
Rows (Extended):
16,446
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
