83% Of Enterprise Workloads Will Be In The Cloud By 2020 - PowerPoint PPT Presentation

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83% Of Enterprise Workloads Will Be In The Cloud By 2020

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83% Of Enterprise Workloads Will Be In The Cloud By 2020. .50% of IT professionals believe artificial intelligence and machine learning are playing a role in cloud computing adoption today, growing to 67% by 2020. – PowerPoint PPT presentation

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Title: 83% Of Enterprise Workloads Will Be In The Cloud By 2020


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83 Of Enterprise Workloads Will Be In The Cloud
By 2020
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These insights and findings are from
LogicMonitors Cloud Vision 2020 The Future of
the Cloud Study (PDF, free, opt-in, 9 pp.). The
survey is based on interviews with approximately
300 influencers LogicMonitor interviewed in
November 2017. Respondents include Amazon Web
Services AWS reInvent 2017 attendees, industry
analysts, media, consultants and vendor
strategists. The studys primary goal is to
explore the landscape for cloud services in 2020.
While the studys findings are not statistically
significant, they do provide a fascinating
glimpse into current and future enterprise cloud
computing strategies.
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Key takeaways include the following
  • 83 Of Enterprise Workloads Will Be In The Cloud
    By 2020. LogicMonitors survey is predicting that
    41 of enterprise workloads will be run on public
    cloud platforms (Amazon AWS, Google Cloud
    Platform, IBM Cloud, Microsoft Azure and others)
    by 2020. An additional 20 are predicted to be
    private-cloud-based followed by another 22
    running on hybrid cloud platforms by 2020.
    On-premise workloads are predicted to shrink from
    37 today to 27 of all workloads by 2020.

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Digitally transforming enterprises (63) is the
leading factor driving greater public cloud
engagement or adoption followed by the pursuit of
IT agility (62). LogicMonitors survey found
that the many challenges enterprises face in
digitally transforming their business models are
the leading contributing factor to cloud
computing adoption. Attaining IT agility (62),
excelling at DevOps (58), mobility (55),
Artificial Intelligence (AI) and Machine Learning
(50) and the Internet of Things (IoT) adoption
(45) are the top six factors driving cloud
adoption today. Artifical Intelligence (AI) and
Machine Learning are predicted to be the leading
factors driving greater cloud computing adoption
by 2020.
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66 of IT professionals say security is their
greatest concern in adopting an enterprise cloud
computing strategy. Cloud platform and service
providers will go on a buying spree in 2018 to
strengthen and harden their platforms in this
area. Verizon (NYSEVZ) acquiring Niddel this
week is just the beginning. Niddel's Magnet
software is a machine learning-based
threat-hunting system that will be integrated
into Verizons enterprise-class cloud services
and systems. Additional concerns include
attaining governance and compliance goals on
cloud-based platforms (60), overcoming the
challenges of having staff that lacks cloud
experience (58), Privacy (57) and vendor
lock-in (47).
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Just 27 of respondents predict that by 2022, 95
of all workloads will run in the cloud. One in
five respondents believes it will take ten years
to reach that level of workload migration. 13 of
respondents dont see this level of workload
shift ever occurring. Based on conversations with
CIOs and CEOs in manufacturing and financial
services industries there will be a mix of
workloads between on-premise and cloud for the
foreseeable future. C-level executives evaluate
shifting workloads based on each systems
contribution to new business models, cost, and
revenue goals in addition to accelerating
time-to-market.
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Microsoft Azure and Google Cloud Platform are
predicted to gain market share versus Amazon AWS
in the next three years, with AWS staying the
clear market leader. The study found 42 of
respondents are predicting Microsoft Azure will
gain more market share by 2020. Google Cloud
Platform is predicted to also gain ground
according to 35 of the respondent base. AWS is
predicted to extend its market dominance with 52
market share by 2020.
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