Global Cloud Index Projects Strong Growth in the Cloud Through 2021

Globally, cloud data center traffic will represent 95 percent of total data center traffic by 2021, compared to 88 percent in 2016, according to the Cisco Global Cloud Index (2016-2021).

Jump to Infographic Below

According to the study, both consumer and business applications are contributing to the growing dominance of cloud services over the Internet. For consumers, streaming video, social networking, and Internet search are among the most popular cloud applications. For business users, enterprise resource planning (ERP), collaboration, analytics, and other digital enterprise applications represent leading growth areas.

Driven by surging cloud applications, data center traffic is growing fast. The study forecasts global cloud data center traffic to reach 19.5 zettabytes (ZB) per year by 2021, up from 6.0 ZB per year in 2016 (3.3-fold growth or a 27 percent compound annual growth rate [CAGR] from 2016 to 2021).

Global Cloud Index Highlights and Key Projections:

Data center virtualization and cloud computing growth

■ By 2021, 94 percent of workloads and compute instances will be processed by cloud data centers; 6 percent will be processed by traditional data centers.

■ Overall data center workloads and compute instances will more than double (2.3-fold) from 2016 to 2021; however, cloud workloads and compute instances will nearly triple (2.7-fold) over the same period.

■ The workload and compute instance density for cloud data centers was 8.8 in 2016 and will grow to 13.2 by 2021. Comparatively, for traditional data centers, workload and compute instance density was 2.4 in 2016 and will grow to 3.8 by 2021.

Growth in stored data fueled by big data and IoT

■ Globally, the data stored in data centers will nearly quintuple by 2021 to reach 1.3 ZB by 2021, up 4.6-fold (a CAGR of 36%) from 286 EB in 2016.

■ Big data will reach 403 exabytes (EB) by 2021, up almost 8-fold from 25 EB in 2016. Big data will represent 30 percent of data stored in data centers by 2021, up from 18 percent in 2016.

■ The amount of data stored on devices will be 4.5 times higher than data stored in data centers, at 5.9 ZB by 2021.

■ Driven largely by IoT, the total amount of data created (and not necessarily stored) by any device will reach 847 ZB per year by 2021, up from 218 ZB per year in 2016. Data created is two orders of magnitude higher than
data stored. 


Applications contribute to rise of global data center traffic

■ By 2021, big data will account for 20 percent (2.5 ZB annual, 209 EB monthly) of traffic within data centers, compared to 12 percent (593 EB annual, 49 EB monthly) in 2016.

■ By 2021, video streaming will account for 10 percent of traffic within data centers, compared to 9 percent in 2016.

■ By 2021, video will account for 85 percent of traffic from data centers to end users, compared to 78 percent in 2016.

■ By 2021, search will account for 20 percent of traffic within data centers by 2021, compared to 28 percent in 2016.

■ By 2021, social networking will account for 22 percent of traffic within data centers, compared to 20 percent in 2016

SaaS most popular cloud service model through 2021

■ By 2021, 75 percent (402 million) of the total cloud workloads and compute instances will be SaaS workloads and compute instances, up from 71 percent (141 million) in 2016. (23% CAGR from 2016 to 2021).

■ By 2021, 16 percent (85 million) of the total cloud workloads and compute instances will be IaaS workloads and compute instances, down from 21 percent (42 million) in 2016. (15% CAGR from 2016 to 2021).

■ By 2021, 9 percent (46 million) of the total cloud workloads and compute instances will be PaaS workloads and compute instances, up from 8% (16 million) in 2016. (23% CAGR from 2016 to 2021).



For the purposes of the study, cloud computing includes platforms that enable ubiquitous, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Deployment models include private, public, and hybrid clouds. Cloud data centers can be operated by service providers as well as private enterprises.

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Global Cloud Index Projects Strong Growth in the Cloud Through 2021

Globally, cloud data center traffic will represent 95 percent of total data center traffic by 2021, compared to 88 percent in 2016, according to the Cisco Global Cloud Index (2016-2021).

Jump to Infographic Below

According to the study, both consumer and business applications are contributing to the growing dominance of cloud services over the Internet. For consumers, streaming video, social networking, and Internet search are among the most popular cloud applications. For business users, enterprise resource planning (ERP), collaboration, analytics, and other digital enterprise applications represent leading growth areas.

Driven by surging cloud applications, data center traffic is growing fast. The study forecasts global cloud data center traffic to reach 19.5 zettabytes (ZB) per year by 2021, up from 6.0 ZB per year in 2016 (3.3-fold growth or a 27 percent compound annual growth rate [CAGR] from 2016 to 2021).

Global Cloud Index Highlights and Key Projections:

Data center virtualization and cloud computing growth

■ By 2021, 94 percent of workloads and compute instances will be processed by cloud data centers; 6 percent will be processed by traditional data centers.

■ Overall data center workloads and compute instances will more than double (2.3-fold) from 2016 to 2021; however, cloud workloads and compute instances will nearly triple (2.7-fold) over the same period.

■ The workload and compute instance density for cloud data centers was 8.8 in 2016 and will grow to 13.2 by 2021. Comparatively, for traditional data centers, workload and compute instance density was 2.4 in 2016 and will grow to 3.8 by 2021.

Growth in stored data fueled by big data and IoT

■ Globally, the data stored in data centers will nearly quintuple by 2021 to reach 1.3 ZB by 2021, up 4.6-fold (a CAGR of 36%) from 286 EB in 2016.

■ Big data will reach 403 exabytes (EB) by 2021, up almost 8-fold from 25 EB in 2016. Big data will represent 30 percent of data stored in data centers by 2021, up from 18 percent in 2016.

■ The amount of data stored on devices will be 4.5 times higher than data stored in data centers, at 5.9 ZB by 2021.

■ Driven largely by IoT, the total amount of data created (and not necessarily stored) by any device will reach 847 ZB per year by 2021, up from 218 ZB per year in 2016. Data created is two orders of magnitude higher than
data stored. 


Applications contribute to rise of global data center traffic

■ By 2021, big data will account for 20 percent (2.5 ZB annual, 209 EB monthly) of traffic within data centers, compared to 12 percent (593 EB annual, 49 EB monthly) in 2016.

■ By 2021, video streaming will account for 10 percent of traffic within data centers, compared to 9 percent in 2016.

■ By 2021, video will account for 85 percent of traffic from data centers to end users, compared to 78 percent in 2016.

■ By 2021, search will account for 20 percent of traffic within data centers by 2021, compared to 28 percent in 2016.

■ By 2021, social networking will account for 22 percent of traffic within data centers, compared to 20 percent in 2016

SaaS most popular cloud service model through 2021

■ By 2021, 75 percent (402 million) of the total cloud workloads and compute instances will be SaaS workloads and compute instances, up from 71 percent (141 million) in 2016. (23% CAGR from 2016 to 2021).

■ By 2021, 16 percent (85 million) of the total cloud workloads and compute instances will be IaaS workloads and compute instances, down from 21 percent (42 million) in 2016. (15% CAGR from 2016 to 2021).

■ By 2021, 9 percent (46 million) of the total cloud workloads and compute instances will be PaaS workloads and compute instances, up from 8% (16 million) in 2016. (23% CAGR from 2016 to 2021).



For the purposes of the study, cloud computing includes platforms that enable ubiquitous, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Deployment models include private, public, and hybrid clouds. Cloud data centers can be operated by service providers as well as private enterprises.

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Bridging the Visibility Gap: A Path to Smarter Telecom Infrastructure

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

Redis Monitoring 101: Key Metrics You Need to Watch

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Beyond Traditional Autoscaling: The Future of Kubernetes in AI Infrastructure

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

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How GenAI Can Save Time for the NetOps Team

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

Will AI Solve the Growing Data Divide?

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

Gartner: Top Trends Shaping the Future of Cloud

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

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2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...