InfographicBusiness Model Transformation
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:
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 (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.”
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.
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.
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.