Blurry Barcode Scanning: Don’t miss out on 140 Million Potential Users!

 

Welcome!

Today we’re excited to continue our discussion on blurry barcode scanning and its impact on companies developing product-centric mobile apps. As we mentioned last week, we recently completed a market study to determine how many mobile devices out there still don’t have autofocus cameras and how these break down across geographies and platforms. Today we’re thrilled to share the results with you.

 

Overview

We conducted our original study* for both the iOS and Android platforms and found that over 140 million devices in use worldwide lack autofocus capabilities. Check out our table below, which specifies the geographic distribution of these devices by platform.

iOS and Android device overall sales and worldwide distribution chart

Table 1 - iOS and Android Device Sales and Distribution

 

Android

54M of Android devices around the world do not have autofocus cameras. As shown in Figure 1, there are 14M non-autofocus devices running Android in Europe and 19M running in North America.

Worldwide Distribution of Android devices without autofocus

Figure 1 - Android Non-Autofocus Phones Worldwide

 

In examining Figure 2, you can see that around the world a staggering 41M Android devices are priced below $200 USD and do not have autofocus capabilities.

Android device overall sales and worldwide distribution chart

Figure 2 - Android Devices Overall Sales and Distribution

 

While the proportion of non-autofocus devices decreases with increasing price point, figure 3 demonstrates that 30% of devices under $400 still do not have autofocus capabilities. Examples of the devices that fall in this category would be the immensely popular Samsung Galaxy Y and the the HTC Explorer.

Distribution of non-autofocus Android devices by pricepoint

Figure 3 - Android Devices Worldwide by Pricepoint

 

 

iOS

Figures 4 and 5 demonstrate that 86M iOS devices around the world do not have autofocus cameras (including the iPad2). There are 22M non-autofocus devices running iOS in Europe and 30M running in North America.

Worldwide Distribution of iOS devices without autofocus

Figure 4 - iOS Non-Autofocus Phones Worldwide

 

iOS device overall sales and worldwide distribution chart

Figure 5 - Android Devices Overall Sales and Distribution

 

So what does it mean?

For companies who use (or intend to use) barcode scanning in their product-centric mobile app, whether or not your barcode scanning technology is capable of supporting non-autofocus devices makes a huge difference – and will continue to do so for another 2 years at least. While competing solutions fail to scan blurry barcodes since their technology is not sophisticated enough to decipher the images, Scandit gives you direct access to 140M additional users and thus increases your addressable market by almost 40%.   (This means that solutions such as ShopSavvy, Zxing, and ZBar are failing to reach 140 million potential users.) By switching to Scandit, you’ll gain competitive advantage by expanding your potential user base and ensure that your users receive the most enhanced barcode scanning experience out there.

In addition to sheer market size, there are many more reasons to support blurry barcode scanning, which is why we’ll be continuing this series soon with a post about scanning speed, and how scanning codes before a focal point is established can provide your users with a better overall experience.

 

We’d love to hear what you think about blurry barcodes, so please share your comments in the space below.

 

*Research Approach: All iOS numbers come from official Apple financial statements and press releases. Android numbers come from market share comparison to iOS figures found at http://blog.nielsen.com/nielsenwire/consumer/more-us-consumers-choosing-smartphones-as-apple-closes-the-gap-on-android/. The percentage of low-end Android non-autofocus camera phones comes from an examination of a randomly selected sample of 100 Android OS phones currently in the market (release dates 2010 and 2011).

 

 

 

 

 

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