Business Model Transformation Infographic cover

InfographicBusiness Model Transformation

12 Jun 2017

With the number of clients moving from on-premise infrastructure to cloud resources, IT service providers are asking, “How do I keep my business competitive?” Now’s the time to look at your current business model and determine where you want to take your company. Here are some great choices:

Abstract cloud illustration

Cloud Solution Provider (CSP)

IDC forecasts worldwide spending on public cloud services will grow from nearly $70B in 2015 to more than $141B in 2019.1

  • If you can’t beat the cloud, sell it.
  • Integrate and expand your clients data centers.
  • Offer solutions to seamlessly migrate clients to the cloud.
  • Learn more about software-defined networks and storage, containers and microservices to provide the program platform of the future.
Internet of Things

Internet of Things (IoT)

Bain & Company predicts annual revenues could exceed $470B by 2020 for IoT vendors selling hardware, software and comprehensive solutions. General Electric expects investment in the industrial IoT to top $60 trillion during the next 14 years.2

  • Users look at 5G as the ultimate solution.
  • Every user across the entire internet needs to move from IPv4 to IPv6.
  • Billions of “things” will require deployment, configuration and maintenance.
  • All of these “things” will require monitoring and management.
  • Most of these “things” require advanced router protocols.
  • Someone needs to interpret the data coming back from the “things.”
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Cloud software developer

The cloud applications market is expected to grow 10% annually over the next five years and reach $76B in cloud subscription revenues by 2020.3

  • AWS, Azure®, TopLayer and Google see apps driving more cloud consumption and are providing support for developers.
  • Move apps to the cloud — Software as a Service (SaaS).
  • Migrate applications to mobile platforms.
  • Provide managed Desktops as a Service application delivery.
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Big data analytics

Revenues from big data and business analytics software worldwide will grow more than 50% in five years, from nearly $122B in 2015 to more than $187B in 2019.4

  • Data scientists are in high demand and are becoming expensive.
  • Many customers lack skills to interpret big data reports and need service providers to do it for them.
  • Big data is captured and collected by technologies that require extensive deployment and scale-out knowledge.
  • Big data is redefining storage throughput requirements. New software-defined storage clusters may be the only strategy that can scale and perform.
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Cognitive, machine learning & Artificial Intelligence (AI)

Widespread adoption of cognitive systems and AI across a broad range of industries will propel worldwide revenues from nearly $8B in 2016 to more than $47B in 2020. The market for cognitive/AI solutions will grow 55.1% during the 2016–2020 forecast period.5

  • AI enables natural collaborative interactions between computers and people to extend human understanding.
  • Machine learning helps users easily build, deploy and share predictive analytics solutions.
  • Cognitive applications have the ability to learn and evolve over time.

1 Columbus, L. (2016, March 13). Roundup of Cloud Computing Forecasts and Market Estimates, 2016. Forbes.
2 Columbus, L. (2016, Nov. 27). Roundup of Internet of Things Forecasts and Market Estimates, 2016. Forbes.
3 Pang, A. (2016, Aug. 5). Worldwide Cloud Applications Market Forecast 2016-2020, a Minsky Moment Awaits. Apps Run the World.
4 Columbus, L. (2016, Aug. 20). Roundup of Analytics, Big Data & BI Forecasts and Market Estimates, 2016. Forbes.
5 IDC. (2016, Oct. 26). Worldwide Cognitive Systems and Artificial Intelligence Revenues Forecast to Surge Past $47 Billion in 2020, According to New IDC Spending Guide.