More devices and
things
Mobile Vision 2020
UNIFIED ENDPOINT MANAGEMENT
TOP DRIVERS OF UNIFIED ENDPOINT MANAGEMENT ADOPTION
THE ENDPOINT MANAGEMENT LANDSCAPE IS
INCREASINGLY COMPLEX
More than half of organizations will adopt this
approach by 2020.
UNIFIED ENDPOINT MANAGEMENT IS
GROWING RAPIDLY
User demand for data
anytime/anywhere
Need to lower total
cost of ownership
Source: A commissioned study conducted by Forrester Consulting on behalf
of IBM, January 2017
*Source: Forrester Data Global Business Technographics®
Telecommunications And Mobility Workforce Survey, 2016
© 2017 Forrester Research, Inc. All right reserved. Forrester is a registered trademark of Forrester Research, Inc.
Read the full study
Artificial intelligence and cognitive computing
Devices and things
Productivity Security
Actionable insights
Apps
Smartphones Tablets Laptops Wearables Internet of
things
Content Data Identity Threats Connectivity
Contextual analytics
Organizations are seeing huge increases in
endpoint data . . .
Organizations are supporting more devices than ever . . .
. . . and will move toward a device-agnostic approach
The Impact Of Mobility, IoT, And
Artificial Intelligence On The Future
Of Business Transformation
26% of organizations are using
device-agnostic management.
42% will be using device-agnostic
management by 2020.
15% are using UEM today. 54% will have UEM in place by 2020.
80% will implement AI/cognitive
computing by 2020.
96% will see an increase in
endpoint data in the next 3 years.
Base: 556 IT professionals at the director level and above in the US, the
UK,Germany, India, and Australia
Methodology: In this study, Forrester conducted an online survey of 556 IT
professionals at the director level and above in the US, the UK, Germany,
India, and Australia.
72%
of workers use a mobile
device weekly for work.*
49%
use at least three devices for
work.*
99%
use a desktop or laptop.*
88%
of organizations will be
managing IoT devices by 2020.
. . . so they are turning to AI/cognitive
computing to generate insights from this data

Mobile Vision 2020

  • 1.
    More devices and things MobileVision 2020 UNIFIED ENDPOINT MANAGEMENT TOP DRIVERS OF UNIFIED ENDPOINT MANAGEMENT ADOPTION THE ENDPOINT MANAGEMENT LANDSCAPE IS INCREASINGLY COMPLEX More than half of organizations will adopt this approach by 2020. UNIFIED ENDPOINT MANAGEMENT IS GROWING RAPIDLY User demand for data anytime/anywhere Need to lower total cost of ownership Source: A commissioned study conducted by Forrester Consulting on behalf of IBM, January 2017 *Source: Forrester Data Global Business Technographics® Telecommunications And Mobility Workforce Survey, 2016 © 2017 Forrester Research, Inc. All right reserved. Forrester is a registered trademark of Forrester Research, Inc. Read the full study Artificial intelligence and cognitive computing Devices and things Productivity Security Actionable insights Apps Smartphones Tablets Laptops Wearables Internet of things Content Data Identity Threats Connectivity Contextual analytics Organizations are seeing huge increases in endpoint data . . . Organizations are supporting more devices than ever . . . . . . and will move toward a device-agnostic approach The Impact Of Mobility, IoT, And Artificial Intelligence On The Future Of Business Transformation 26% of organizations are using device-agnostic management. 42% will be using device-agnostic management by 2020. 15% are using UEM today. 54% will have UEM in place by 2020. 80% will implement AI/cognitive computing by 2020. 96% will see an increase in endpoint data in the next 3 years. Base: 556 IT professionals at the director level and above in the US, the UK,Germany, India, and Australia Methodology: In this study, Forrester conducted an online survey of 556 IT professionals at the director level and above in the US, the UK, Germany, India, and Australia. 72% of workers use a mobile device weekly for work.* 49% use at least three devices for work.* 99% use a desktop or laptop.* 88% of organizations will be managing IoT devices by 2020. . . . so they are turning to AI/cognitive computing to generate insights from this data