Cloud Computing Services, Platforms Infrastructure and Everything as a Service 2020 – 2025 evaluates the global and regional markets for cloud Services including IaaS, PaaS, and PaaS by solution type (Private and Public).  The report provides analysis of specific challenges and opportunities from both the customer and the cloud services provider perspective. 

The report evaluates the general cloud service market as well as specific market opportunities within the healthcare, energy, insurance, entertainment, and financial services sectors.  The report also evaluates the emerging growth drivers for cloud services including wearable technologies.  It also includes specific recommendations for CSPs and their customers.

Cloud is an enabler of business process change as it facilitates key benefits including expenditure reduction (CapEx and OpEx), service development and delivery efficiencies, and greater flexibility to meet evolving business needs. Cloud technologies and solutions are becoming increasingly more important to communication service providers, enterprise, content and commerce providers. This is particularly the case as many businesses IT departments predominantly implement virtualization of network functions and “softwaritization” of applications and operational support systems through the use of software defined network solutions.

Clouded based technologies are evolving at a rapid pace along with the myriad of ways in which services can be developed, implemented, and operated. Various players in the cloud ecosystem achieve varying degrees of sustainability in accordance with their ability to identify gaps in IT infrastructure and/or services delivery regardless of what technologies are in place today and anticipate how methods and procedures will need to evolve to capture future opportunities.

We see IT departments becoming increasingly savvy regarding the distinction between core cloud and edge computing used for distributed cloud computing. Fog computing represents an evolution of cloud computing that takes into account the need for some computing to occur at the edge of networks. It will be very important for the Internet of Things (IoT).  However, it will raise some serious issues regarding data security and overall data management. One of the key areas will be big data analytics in terms of how real-time data is managed and optimized.

Similar to fog computing, but based on a different architectural approach, Mobile Edge Computing (MEC) represents cloud-computing capabilities and an IT service environment at the edge of mobile networks, such as LTE or 5G, but may also include WiFi. In cellular networks, the edge of the network includes base station infrastructure and data centers close to the radio network, which can extract network context from Radio Access Network (RAN) and process in a distributed manner.

MEC brings virtualized applications much closer to mobile users ensuring network flexibility, economy and scalability for improved user experience.  It facilitates a service environment that allows seamless access experience and responsiveness for content, services, and applications. It provides mobile network operators with an opportunity to play a greater role in an emerging ecosystem as they can add value through optimized apps and content.

Supported by leading organizations such as ETSI ISG, IBM, Intel, Nokia Network, Huawei, NTT DoCoMo, Saguna, and Vodafone, MEC will be applied in a wide array of areas including content delivery, DNS caching, RAN optimization, offloading, IoT connectivity, distributed video, critical communications, and urban security.  MEC is also anticipated to create a new ecosystem that will positively impact various vertical markets.

Arguably, a corporation’s most critical asset is its data.  As a result, optimizing data management assets, processes, and procedures is of particular importance.  This includes those data elements that are shared between the numerous applications, systems and services within the enterprise across all industry verticals. Only through reliable data management services can organizations truly realize the true potential of their own data as well as data from customers, suppliers, partners, and various third parties.
From an enterprise cloud services and infrastructure perspective, having a firm understanding of data management technologies and solutions is critical to all constituents in the value chain for all industry verticals.  ICT leaders will be faced with many emerging challenges such as data management in the IoT era, advanced cloud architectures and solutions such as fog computing or MEC. As cloud computing evolves, there is an increasing need for third-party support of cloud platforms, architectures, and services.  Support takes the form of various cloud professional services ranging from data management, cloud brokering, and end-to-end cloud management.
Target Audience:
  • Cloud computing vendors
  • Communication service providers
  • Telecom and IT infrastructure providers
  • Virtualization and SDN solution providers
  • Communication and collaboration vendors

Select Report Findings:
  • Global cloud computing revenue will reach $342B by 2025 at 24.8% CAGR
  • Global IaaS storage and related computing revenue alone will reach $42.9B by 2025
  • Major impact of edge computing will initially be computing efficiency improvements
  • Inclusion of AI within 30% of core networks and 45% of distributed notes by application
  • Cloud computing will continue to have a broadly positive impact despite COVID-19 pandemic

Report Benefits:
  • Cloud computing services and infrastructure forecasts through 2025
  • Understand the key industry success factors for continued industry growth
  • Identify the impact of dominant industry trends upon vendor decision making
  • Recognize the role and importance of edge computing relative to core cloud infrastructure
  • Identify revenue opportunities by segment, technology, solution, platform type, and industry