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Mobile POS Software Vendor Market Share in North America

  • ID: 4852351
  • Report
  • Region: North America, United States
  • IHL Consulting Group
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FEATURED COMPANIES

  • Action Systems (ASI)
  • Fujitsu
  • Maitre’D POS
  • PayPal Here
  • Salesforce
  • Squirrel Systems
  • MORE

Mobile POS Software is one of the fastest-growing areas in retail technology, but it is not growing at the same speed in all retail segments or even by the size of retailers.

This research tracks the installs and shipments of software licenses in Mobile POS instances.  It reviews the smaller retailers “mom and pop’s” that began the mobile POS trend and that is seeing tremendous technology disruption for traditional POS terminals.  It also covers the forecast for the fast rise in the adoption of mPOS in enterprise retailers.

You would use this research to answer the following questions?  How big is this market? How fast is it growing? Which vendors are winning? How much share does Square, Level Up, Shopkeep have?  Are these vendors doing better than Enterprise vendors like Oracle, Toshiba, and Starmount?  How does the market growth differ for Enterprise versus SMB? This research will tell you.

This research provides shipments and installed base on a quarterly and annual basis for vendors such as Square, Intuit, Shopify, Level Up,  First Data, Paypal, Revel, NCR and Pay Anywhere at the SMB level, then Oracle, Infor, NCR, Aptos, Toshiba, and many others for use of mobile devices for POS.  We look at shipments and installed base by segment and tier.

This data is meant to be used in conjunction with the Mobile POS Study which provides the qualitative background of the trends. It is in this study where we discuss trends, barriers to entry, and growth assumptions. The data here is purely quantitative in nature.

The data is customized for each segment or if SMB or Enterprise.

Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Action Systems (ASI)
  • Fujitsu
  • Maitre’D POS
  • PayPal Here
  • Salesforce
  • Squirrel Systems
  • MORE

Initially, this Mobile POS Software Share is focused only on the North American market.

The data is provided with Shipments and installed base with the following roll-ups

  • Total Market
  • Share in retailers with fewer than 50 stores
  • Share in retailers with more than 50 stores

The analyst provides this delineation on the market share as we realize the market at the smaller retailer level is quite a bit different than that at the enterprise level.  The systems are different, the vendors are different, and the load on various systems is different.

In addition, the data is broken out by each of the following segments:

Food/Grocery (Kroger, Safeway, Trader Joe’s, Wakerfern, Tesco,)
Drug Stores (Walgreens, CVS)
Superstore/Warehouse Clubs/Hypermarkets (Walmart, BJ’s Wholesale, Costco, Auchan)
Mass Merchants (Target, Meijer Stores)
Department Stores (JC Penney, Sears, Kohls, Kaufaf, Marks, and Spencer)
Specialty Hard Goods (Home Depot, Lowes, Best Buy, Rooms to Go, Canadian Tire)
Specialty Soft Goods (H&M, Limited Stores, Wet Seal)
Convenience/Gas/Forecourt (Chevron, Exxon,)
Fast Food (McDonald’s, Subway, Burger King, Pizza Hut, Taco Bell)
Bar/Restaurant (Applebees, Buffalo Wild Wings, Chipotle)
Lodging (Marriott, Sheraton, Hilton)
Entertainment: Casinos and Cruises (Carnival, Harrah’s, Wynn, Caesar’s Palace)
Entertainment: Museums, Theme Parks, Theaters, Others (Disney, Universal, AMC, Carmike)

Note: Product cover images may vary from those shown
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  • Action Systems (ASI)
  • Agilysys
  • Amazon-Local Register
  • Aptos-Epicor Software
  • CashierLive
  • First Data-Clover
  • Fujitsu
  • Heartland Commerce-xPient
  • Infor-Starmount
  • Internal
  • Intuit-GoPayment
  • Kliger-Weiss Infosystems (KWI)
  • Lightspeed Retail
  • Maitre’D POS
  • Manhattan-Global Bay
  • NCR
  • Oracle-MICROS
  • ParTech
  • PayAnywhere
  • PayPal Here
  • PCMS Datafit
  • RDC Positouch
  • Revel Systems, Inc
  • ROAM-Ingenico
  • Sage
  • Salesforce
  • SAP
  • Shopify POS
  • ShopKeep POS
  • SICOM Systems
  • Square Register
  • Squirrel Systems
  • Toast
  • ToshibaGCS
  • TouchBistro
  • Upserve-Groupon Breadcrumb
  • Vend HQ
  • Veras Retail
  • Verifone PAYware Mobile/GlobalBay Merchant
  • Wand Corporation
Note: Product cover images may vary from those shown
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General 5 step process for all research.

Step 1 – The WorldView IT Sizing Forecast Model is used by the analyst as a leverage as a sizing and forecast tool for over 300 retail Hardware, Software, SaaS and Services categories is leveraged within this research. The analyst has been sizing and forecasting the retail/hospitality market worldwide by solutions for over 10 years. This provides the upper bounds of the market data and total market size.

Step 2 – This is then combined with a Sophia Data Service that tracks over 4,500 enterprise retailers and hospitality providers (with a minimum of 50 locations) in terms of which vendor’s technology a given retailer/hospitality provider has installed, the total lanes/licenses, the timing of those installations and when they are due to be replaced.

Step 3 – If it is part of an end user study, the analysts will do customized web surveys and phone calls with key retail industry leaders several times a year. This data is then leveraged for several different research reports if applicable. When combined with the IT Sizing in step 1, the detailed installs by retailer in step 2, and then the vendor and customer interviews in step 4, the research data comes from several angles to provide the most insight to readers.

Step 4 – The installs and business sizing for each vendor is validated through public records and vendor/channel interviews. Customer service/traction is validated through existing customer interviews and surveys.

Step 5 – All of this is then merged together into a singular view that not only provides total market size, but also market share and scale of difference between vendors.

Where many research companies provide a top level of insight with just the facts, these reports go a bit deeper through the use of cross-tabulation and sources to answer the questions about “So what?”, not just the data, but what it means and how you can react to the market as a result of this data.

 

 

 

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