Worldwide Mobility Industry Predictions 2018

Worldwide Mobility Industry Predictions 2018. AIMLEAP outsourcebigdata is a Trusted Partner for Digital IT, BI Analytics services, Automation & Data Management, data processing services.  OSP has been successful in creating customer impact by delivering Data Quality Management, Bigdata &  Analytics services.

1. Spending on mobility will reach $444 billion worldwide in 2018. Retail, finance (including insurance), healthcare, government and education will account for 45% of overall spend.

     2. By 2019, 20% of all new enterprise IT mobile applications will include an augmented reality (AR) feature set.

    3. 5G’s broad enablement of IoT use cases drives 70% of G2000 companies to spend $1.2 billion on connectivity management solutions by 2021.

    4. By 2020, mobile devices become the de facto payment acceptance terminal in developing markets and among new SMBs. This access drives 10% revenue growth in SMBs.

    5. By 2020, with the ROI of customized mobile apps in the enterprise clear, purchase of offthe-shelf mobile enterprise apps will have fallen dramatically, with up to 75% of spend being redirected to customized apps.

     6. By 2019, two-third of Windows 10 devices (PCs and tablets) will be managed via unified endpoint management (UEM) platforms, and one enterprise in every three will have consolidated its desktop and mobile management IT teams into a single operations unit.

    7. By 2020, two-thirds of enterprises will have integrated physical security access (e.g. key cards and 2FA devices) with enterprise mobile devices, thus driving an additional 20-30% in the attach rate of EMM/MTM software deployed on mobiles to secure and manage such devices.

    8. By 2020, 90% of enterprises will have no need for SDKs or app wrapping due to sophisticated mobile OS security and controls, resulting in a major shift in spend to other mobile app development, integration and analytics platforms.

    9. By 2020, 25% of enterprise mobile applications will utilize on-board artificial intelligence/machine learning capabilities on smart devices for a variety of applications, including computer vision, depth perception, augmented reality and edge intelligence.

     

     10. By 2019, 35% of Fortune 1000 companies will have a Device-as-a- Service (DaaS) agreement in place and 1% will be completely transitioned to DaaS.

     

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