🔥 Black  Friday  Countdown  :  30%  OFF  Unlock  Advanced  Data  intelligence  with  Actowiz.  Hurry  -  Offer  Ends  25 Nov  💥
🔥 Black  Friday  Countdown  :  30%  OFF  Unlock  Advanced  Data  intelligence  with  Actowiz.  Hurry  -  Offer  Ends  25 Nov  💥
🔥 Black  Friday  Countdown  :  30%  OFF  Unlock  Advanced  Data  intelligence  with  Actowiz.  Hurry  -  Offer  Ends  25 Nov  💥
strip strip strip
strip strip strip
× 
GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.99
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.99
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)

 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

Start Your Project

+1 ▼
  • Home
  • Resources
  • Pharma Price & Availability Intelligence Report India 2025
Report

Pharma Price & Availability Intelligence Report – India E-Pharmacy 2025

India E-Pharmacy 2025 Report tracking pricing, discounts, stock status and delivery ETA across 1mg, PharmEasy, NetMeds and MrMed. Powered by Actowiz Solutions.

Download Research Report

GeoIp2\Model\City Object
(
    [raw:protected] => Array
        (
            [city] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [continent] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [location] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [postal] => Array
                (
                    [code] => 43215
                )

            [registered_country] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [subdivisions] => Array
                (
                    [0] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                )

            [traits] => Array
                (
                    [ip_address] => 216.73.216.99
                    [prefix_len] => 22
                )

        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => NA
                    [geoname_id] => 6255149
                    [names] => Array
                        (
                            [de] => Nordamerika
                            [en] => North America
                            [es] => Norteamérica
                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => geonameId
                    [2] => names
                )

        )

    [country:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [locales:protected] => Array
        (
            [0] => en
        )

    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [validAttributes:protected] => Array
                (
                    [0] => queriesRemaining
                )

        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
                            [de] => USA
                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                )

        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.99
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
                (
                    [0] => autonomousSystemNumber
                    [1] => autonomousSystemOrganization
                    [2] => connectionType
                    [3] => domain
                    [4] => ipAddress
                    [5] => isAnonymous
                    [6] => isAnonymousProxy
                    [7] => isAnonymousVpn
                    [8] => isHostingProvider
                    [9] => isLegitimateProxy
                    [10] => isp
                    [11] => isPublicProxy
                    [12] => isResidentialProxy
                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
                    [16] => mobileNetworkCode
                    [17] => network
                    [18] => organization
                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

    [city:protected] => GeoIp2\Record\City Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [geoname_id] => 4509177
                    [names] => Array
                        (
                            [de] => Columbus
                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                (
                    [0] => en
                )

            [validAttributes:protected] => Array
                (
                    [0] => confidence
                    [1] => geonameId
                    [2] => names
                )

        )

    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [accuracy_radius] => 20
                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
                    [0] => averageIncome
                    [1] => accuracyRadius
                    [2] => latitude
                    [3] => longitude
                    [4] => metroCode
                    [5] => populationDensity
                    [6] => postalCode
                    [7] => postalConfidence
                    [8] => timeZone
                )

        )

    [postal:protected] => GeoIp2\Record\Postal Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [code] => 43215
                )

            [validAttributes:protected] => Array
                (
                    [0] => code
                    [1] => confidence
                )

        )

    [subdivisions:protected] => Array
        (
            [0] => GeoIp2\Record\Subdivision Object
                (
                    [record:GeoIp2\Record\AbstractRecord:private] => Array
                        (
                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)

 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)
+1 ▼

Note: You’ll receive it via email shortly after submitting the form.

Introduction

The Indian online pharmacy market continues to expand at double-digit growth, driven by rising chronic illnesses, rapid urban adoption, and the shift toward digital healthcare. In 2025, platforms like 1mg, PharmEasy, NetMeds and MrMed have become essential retail channels for consumers as well as pharma brands.

This research and data intelligence report, powered by Actowiz Solutions, provides a detailed analysis of pricing trends, discount fluctuations, stock availability, and delivery ETA patterns across India’s leading e-pharmacy platforms.

Our insights help:

  • Pharma manufacturers
  • Distributors
  • Healthcare brands
  • Hospital procurement teams
  • D2C medicine brands

understand real-time market movements and improve pricing decisions, channel strategies and supply-chain planning.

India E-Pharmacy Market Overview 2025

India’s e-pharmacy sector is expected to cross USD 3.4 billion in 2025, growing steadily due to:

Key Growth Drivers
  • More chronic patients requiring monthly refill cycles
  • Consumer preference for home delivery
  • Competitive pricing and discounts
  • Wider assortment availability
  • Quick delivery options in top cities

Platforms like 1mg and PharmEasy dominate Tier 1 metros, while MrMed is becoming popular for specialty medicines and critical-care drug delivery.

Actowiz Solutions analyzed real-time data across 4 platforms, including:

  • Selling price
  • MRP variations
  • Discount volatility
  • Stock status
  • Availability by pin code
  • Delivery ETA
  • SKU visibility

Pricing Comparison Across Platforms

Real-Time Electronics Price Tracking for Black Friday – 2025 Insights

Pricing remains the biggest differentiator. Actowiz’s data engine captures price shifts every few minutes across India’s leading pharmacies.

General Observations

Price variations between platforms range from 12–28% for OTC and chronic drugs.

Specialty drugs show very low price fluctuation on MrMed.

PharmEasy and NetMeds offer the highest discount volatility, especially during campaigns.

Sample Pricing Data (Illustrative)
Drug Name Strength 1mg Price PharmEasy Price NetMeds Price MrMed Price MRP Discount % Range
Telmisartan 40mg 15 tabs ₹89 ₹92 ₹85 ₹97 ₹110 14–23%
Metformin SR 500mg 10 tabs ₹18 ₹19 ₹16 ₹20 ₹22 10–27%
Atorvastatin 10mg 15 tabs ₹134 ₹138 ₹129 ₹142 ₹155 9–17%
Dolo 650 15 tabs ₹29 ₹28 ₹30 ₹31 ₹36 12–22%

Key Insight: NetMeds tends to undercut competitor prices for chronic medicines, while 1mg maintains stable pricing in most regions.

Discount Volatility Analysis

Discounts vary highly across seasons, campaigns, and supply availability.

Actowiz Solutions tracked discount fluctuations for 90 days, showing:

  • OTC categories show highest volatility, especially immunity, pain relief and supplements.
  • PharmEasy frequently runs flash discount drops, especially on high-demand brands.
  • NetMeds shows city-based discount targeting during weekends.
  • 1mg maintains the most stable discount structure with controlled couponing.
Sample Discount Trend Data (Illustrative)
Date 1mg PharmEasy NetMeds MrMed
Week 1 15% 18% 17% 5%
Week 2 16% 22% 19% 5%
Week 3 15% 25% 21% 6%
Week 4 15% 30% 20% 5%

Insight: PharmEasy fluctuates aggressively, sometimes offering 30–32% during its monthly sales, impacting brand price integrity.

Availability & Stock Status Tracking

Stockouts are a major issue for both chronic and acute medicines, especially in metro cities.

Actowiz Solutions found:

  • 1mg shows the lowest OOS rate, especially for chronic medicines.
  • NetMeds sees maximum stockouts during campaigns.
  • MrMed maintains strong availability of specialty and oncology drugs.
  • Under-stock issues appear during weekends on all platforms.
Sample OOS Dataset (Illustrative)
Drug Name Platform Status Last Updated City
Thyronorm 50mcg NetMeds Out of Stock 10:32 AM Delhi
Ecosprin 75mg PharmEasy Low Stock 3:15 PM Mumbai
Crestor 10mg 1mg In Stock 11:00 AM Bangalore
Trastuzumab 440mg MrMed In Stock 12:40 PM Chennai

Insight: Critical-care drugs show higher stability on MrMed due to specialized procurement.

Delivery ETA & Logistics Benchmarking

Delivery speed plays a crucial role in platform preference.

Based on our tracking across 20+ cities:

  • 1mg offers the fastest ETA in metros (3–6 hours).
  • PharmEasy and NetMeds average 6–18 hours, depending on warehouse proximity.
  • MrMed specializes in next-day delivery for high-value medicines.
Sample Delivery ETA Data
City 1mg ETA PharmEasy ETA NetMeds ETA MrMed ETA
Mumbai 4 hrs 8 hrs 10 hrs Next Day
Delhi 3 hrs 6 hrs 8 hrs Next Day
Bangalore 5 hrs 10 hrs 12 hrs Next Day
Chennai 6 hrs 12 hrs 14 hrs Next Day

Category-Wise Insights & Market Behavior

Using continuous data from Actowiz Solutions’ crawling engines, we mapped how different pharma categories behave across 1mg, PharmEasy, NetMeds and MrMed.

a. Chronic Medicines (Diabetes, Hypertension, Thyroid)
  • Most stable in pricing and discounts.
  • Lowest OOS rate on 1mg and PharmEasy.
  • NetMeds offers the most competitive prices.
  • High-demand SKUs often show micro-level discount shifts, especially during morning hours.
b. Vitamins & Supplements
  • Maximum discount volatility (up to 40% swings).
  • Frequent flash sale triggers during weekends.
  • Seasonal spikes during winter and flu waves.
  • Heavy competition driven by D2C nutrition brands.
c. Pain Relief & Flu Medicines
  • Surges during monsoon and winter.
  • Delivery ETA reduces during peak outbreaks.
  • Pricing remains mostly uniform, except for coupon variance.
d. Specialty Medicines (Oncology, Immunotherapy, Rare Diseases)
  • MrMed leads in availability and fast procurement.
  • Discounts are minimal (2–5%) due to regulatory constraints.
  • Supply chain reliability is the biggest differentiator.

Pincode-Level Availability Insights

Actowiz collected hyperlocal data across 980+ pincodes in Tier-1, Tier-2 and Tier-3 cities.

Key Findings
  • Tier-1 cities show strong availability & faster ETA on all platforms.
  • Tier-2 cities see increased stockouts, especially on NetMeds.
  • Tier-3 regions depend heavily on 1mg for chronic and OTC medicine availability.
  • MrMed delivers specialty medicines pan-India but with next-day ETA.
Sample Pincode-Level Dataset
Pincode Platform Drug Name Status Delivery ETA
400051 (Mumbai) 1mg Levocetirizine In Stock 4 hrs
560102 (Bangalore) PharmEasy Metformin SR In Stock 8 hrs
600004 (Chennai) NetMeds Telmisartan Out of Stock —
302019 (Jaipur) MrMed Trastuzumab In Stock Next Day

Insight: Platforms optimize SKU sorting based on regional disease patterns and warehouse distribution.

Competitive Benchmarking: Key Platform Strengths

1mg
Strengths:
  • Fastest delivery
  • Lowest OOS rate
  • Strong catalog depth
  • Stable pricing
Weaknesses:
  • Discounting not as aggressive as others
PharmEasy
Strengths:
  • Highest discount intensity
  • Aggressive promotions
  • Strong metro distribution
Weaknesses:
  • Frequent stockouts during peak sale periods
NetMeds
Strengths:
  • Lowest comparative pricing
  • Strong offers during festive seasons
  • Wide range of generic alternatives
Weaknesses:
  • Delivery ETA fluctuates heavily
  • Stock inconsistency in Tier-2 cities
MrMed
Strengths:
  • Best for critical-care & specialty medicines
  • Reliable nationwide delivery
  • High-value drug availability
Weaknesses:
  • Minimal discounts
  • Higher base pricing compared to general platforms

Market Intelligence Trends to Watch in 2025

Based on Actowiz Solutions’ data signals, here are the emerging patterns:

a. Strong Shift to Chronic Subscriptions

Platforms will push automated refill cycles and subscription models for stable revenue.

b. Increasing Flash Discounts for Engagement

PharmEasy and NetMeds will intensify algorithmic discounting to boost daily active buyers.

c. Hyperlocal Medicine Availability Will Improve

Expect micro-warehouses and dark stores for faster fulfillment.

d. Regulatory Oversight on Online Discounting

Government may introduce caps on OTC discounting to protect retail pharmacy networks.

e. Specialty Medicines Will Move More Online

MrMed and 1mg will expand oncology, biologics & rare-disease coverage.

Why Pharma Brands Use Actowiz Solutions

Actowiz Solutions is the trusted data partner for pharma companies, distributors and digital health businesses.

Our Capabilities
  • India-wide pincode-level availability tracking
  • Real-time price & discount data scraping
  • Flash sale & volatility monitoring
  • Stockout prediction using intelligence signals
  • Delivery ETA benchmarking
  • Competitor comparison dashboards
  • SKU alignment across platforms
  • API-based live data delivery

Our systems crawl millions of product pages daily across India’s top e-pharmacies with enterprise-level accuracy.

Sample Output from Actowiz Pharma Intelligence Dashboard

Price Intelligence Widget
  • Real-time MRP vs selling price
  • Discount curve by platform
  • Hourly trend visualization
Availability Monitor
  • SKU-wise in-stock / out-of-stock
  • City-scale heatmaps
  • Supply chain disruption flags
Delivery ETA Comparator
  • Fastest platform by pincode
  • Weekend vs weekday performance
  • Real-time ETA accuracy tracking
Alert System
  • Price drop alerts
  • Sudden stockouts
  • High-demand medicine surge signals

This helps procurement teams, brand managers and supply chain heads act on accurate, real-time insights instead of assumptions.

Conclusion: What This Means for the Pharma Industry

By tracking the top four platforms — 1mg, PharmEasy, NetMeds and MrMed — Actowiz Solutions gives the industry a clear view of India’s fast-changing e-pharmacy landscape.

Key takeaways:

  • Pricing variations remain high across platforms.
  • Discount volatility impacts brand pricing stability.
  • Stockouts continue in Tier-2 and Tier-3 regions.
  • Delivery ETA is rapidly improving due to micro-fulfillment centers.
  • Specialty medicine distribution remains dominated by MrMed.

In 2025 and beyond, the brands that rely on real-time price, availability and delivery intelligence will lead the market.

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize
Explore Solutions Get a Custom Demo

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Ecommerce
Q-Commerce
Travel & OTA
Food Delivery
Real Estate
Social Media
Trusted by Global Leaders – Secured by International Standards

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
Product Image
2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
Product Image
1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

Request Demo Access icon

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

All
Blog
Case Studies
Infographics
Report
Nov 19, 2025

City-Wise Medicine Delivery Time & ETA Intelligence - Scraping Medicine Delivery Time Data from MrMed for Faster Healthcare Insights

Discover how city-wise medicine delivery time and ETA intelligence is built by scraping Medicine Delivery Time Data from MrMed to improve speed and healthcare efficiency.

thumb

Optimizing Retail Promotions - Track Black Friday Discount for Zara, Nike & SHEIN in the U.S. Market

Explore how to Track Black Friday Discount for Zara, Nike & SHEIN in the U.S., optimizing retail promotions and pricing strategies effectively.

thumb

Dark Store Location Optimization - Data-Driven Strategy Explained

Uncover how data-driven strategies optimize dark store locations, boosting quick commerce efficiency, reducing costs, and improving delivery speed.

thumb

Pharma Price & Availability Intelligence Report – India E-Pharmacy 2025

India E-Pharmacy 2025 Report tracking pricing, discounts, stock status and delivery ETA across 1mg, PharmEasy, NetMeds and MrMed. Powered by Actowiz Solutions.
Nov 19, 2025

City-Wise Medicine Delivery Time & ETA Intelligence - Scraping Medicine Delivery Time Data from MrMed for Faster Healthcare Insights

Discover how city-wise medicine delivery time and ETA intelligence is built by scraping Medicine Delivery Time Data from MrMed to improve speed and healthcare efficiency.

Nov 18, 2025

How to Streamline Product API Data Collection Using Zepto, Blinkit & Instamart Data ?

Learn how to streamline product API data collection efficiently using Zepto, Blinkit & Instamart Product Data API for accurate and real-time insights.

Nov 18, 2025

Supermarket Price Comparison Using Web Scraping - Which Is Cheaper—Big Bazaar, Reliance Fresh, or D-Mart

Supermarket Price Comparison Using Web Scraping reveals which store is cheapest as we analyze prices from Big Bazaar, Reliance Fresh, and D-Mart.

Read More
thumb

Optimizing Retail Promotions - Track Black Friday Discount for Zara, Nike & SHEIN in the U.S. Market

Explore how to Track Black Friday Discount for Zara, Nike & SHEIN in the U.S., optimizing retail promotions and pricing strategies effectively.

thumb

Competitor Intelligence: Comparing MrMed vs 1mg vs NetMeds vs PharmEasy

Actowiz Solutions delivers real-time pharma competitor intelligence across MrMed, 1mg, NetMeds & PharmEasy, tracking price, availability, delivery time, and discounts.

thumb

Dashboard for Pincode-Level Keyword Data Collection from Zepto & Instamart

Actowiz Solutions delivers real-time pincode-level keyword, pricing, availability, and competitor intelligence across Zepto & Instamart through a unified dashboard.

Read More
thumb

Dark Store Location Optimization - Data-Driven Strategy Explained

Uncover how data-driven strategies optimize dark store locations, boosting quick commerce efficiency, reducing costs, and improving delivery speed.

thumb

Festive Price Surge Tracker: Amazon Fresh vs BigBasket vs JioMart in India

Track how prices of sweets, snacks, and groceries surged across Amazon Fresh, BigBasket, and JioMart during Diwali & Navratri in India with Actowiz festive price insights.

thumb

Top 5 Brands Offering Deepest Discounts on Clothes This Navratri

Score big this Navratri 2025! Discover the top 5 brands offering the biggest clothing discounts and grab stylish festive outfits at unbeatable prices.

Read More
thumb

Pharma Price & Availability Intelligence Report – India E-Pharmacy 2025

India E-Pharmacy 2025 Report tracking pricing, discounts, stock status and delivery ETA across 1mg, PharmEasy, NetMeds and MrMed. Powered by Actowiz Solutions.
thumb

Starbucks Store Count in United States – 2025 Analysis and Insights

Explore the Starbucks store count in the United States in 2025 with detailed analysis, trends, regional distribution, and insights for strategic planning.
thumb

Enhancing Airline Operations via Airline Data Scraping from OTAs – Real-Time Insights from Expedia, Priceline, Orbitz, Travelocity, and Kayak

Discover how Airline Data Scraping from OTAs like Expedia, Priceline, Orbitz provides real-time insights to improve airline service quality and operational efficiency.
Read More
phone
Quick Connect
phone
Quick Connect