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Cisco Forecasts 11-Fold Increase in Global Mobile Data Traffic by 2018

According to the Cisco Visual Networking Index Global Mobile Data Traffic Forecast for 2013 to 2018, worldwide mobile data traffic will increase nearly 11-fold over the next four years and reach an annual run rate of 190 exabytes by 2018.

The projected increase in mobile traffic is partly due to continued strong growth in the number of mobile Internet connections, such as personal devices and machine-to-machine (M2M) connections, which will exceed 10 billion by 2018 and be 1.4 times greater than the world’s population (the United Nations estimates 7.6 billion people by 2018).

An exabyte is a unit of information or computer storage equal to one quintillion bytes or one billion gigabytes.

The Cisco VNI Global Mobile Data Traffic Forecast’s annual run rate of 190 exabytes of mobile data traffic for 2018 is equivalent to:

- 190 times more than all Internet Protocol (IP) traffic, fixed and mobile, generated in 2000

- 42 trillion images (e.g., multimedia message service or Instagram)—15 daily images per person on earth for a year

- 4 trillion video clips (e.g., YouTube)—more than one daily video clip per person on earth for a year

The incremental amount of traffic being added to the mobile Internet just between 2017 and 2018 is 5.1 exabytes per month, which is more than three times the estimated size of the entire mobile Internet in 2013 (1.5 exabytes per month).

Key Global Mobile Data Traffic Drivers

From 2013 to 2018, Cisco anticipates that global mobile traffic growth will outpace global fixed traffic growth by a factor of three.

The following trends are driving mobile data traffic growth:

- More mobile users: By 2018, there will be 4.9 billion mobile users, up from 4.1 billion in 2013.

- More mobile connections: By 2018, there will be more than 10 billion mobile-ready devices/connections—including eight billion personal mobile devices and two billion M2M connections, up from seven billion total mobile-ready devices and M2M connections in 2013.

- Faster mobile speeds: Average global mobile network speeds will nearly double from 1.4 Mbps in 2013 to 2.5 Mbps by 2018.

- More mobile video: By 2018, mobile video will represent 69 percent of global mobile data traffic, up from 53 percent in 2013.

Global Shift to Smarter Devices

- Globally, 54 percent of mobile connections will be “smart” connections by 2018, up from 21 percent in 2013. Smart devices and connections have advanced computing/multi-media capabilities and a minimum of 3G connectivity.

- Smartphones, laptops, and tablets will drive about 94 percent of global mobile data traffic by 2018. M2M traffic will represent five percent of 2018 global mobile data traffic while basic handsets will account for 1 percent of global mobile data traffic by 2018. Other portables will account for 0.1 percent.

- Mobile cloud traffic will grow 12-fold from 2013 to 2018, a 64 percent compound annual growth rate (CAGR).

Impact of Machine-to-Machine Connections (and Wearable Devices)

M2M refers to applications that enable wireless and wired systems to communicate with similar devices to support global positioning satellite (GPS) navigation systems, asset tracking, utility meters, security and surveillance video.

A new “wearable devices” sub-segment has been added to the M2M connections category to help project the growth trajectory of the Internet of Everything (IoE). Wearable devices include things that are worn by people such as smart watches, smart glasses, health and fitness trackers, wearable scanners with capability to connect and communicate to the network either directly via embedded cellular connectivity or through another device such as a smartphone via Wi-Fi and Bluetooth.

- In 2013, M2M connections represented nearly five percent of mobile-connected devices in use and generated more than one percent of total mobile data traffic

- By 2018, M2M connections will represent nearly 20 percent of mobile-connected devices in use and generate almost six percent of total mobile data traffic.

- In 2013, there were 21.7 million global wearable devices. By 2018, there will be 176.9 million global wearable devices or a 52 percent CAGR.

Impact of Faster Global Mobile Network Connection Speeds

The average mobile connection is expected to nearly double from 2013 to 2018. Mobile connection speeds are a key factor in supporting/accommodating mobile data traffic growth.

4G Mobile Adoption and Traffic Growth

Many global service providers are deploying 4G technologies to address consumer and business users’ strong demand for wireless services and content. In many emerging markets, service providers are creating new mobile infrastructures with 4G solutions. In some mature markets, service providers are supplementing or replacing legacy 2G or 3G solutions with 4G technologies.

- By 2018, 4G connections will support 15 percent of all connections, up from 2.9 percent in 2013.

- By 2018, 4G connections will support 51 percent, or 8 exabytes per month, of total mobile data traffic, up from 30 percent, or 448 petabytes per month, in 2013.

- 4G traffic will grow 18-fold from 2013 to 2018, a 78 percent CAGR.

Wi-Fi Offload Traffic Surpasses Cellular Traffic

“Offload” refers to traffic from dual mode devices and supports cell and Wi-Fi connectivity, excluding laptops) over Wi-Fi and small cell networks. Offloading occurs at the user or device level when one switches from a cell connection to Wi-Fi and small cell access. The Cisco VNI Global Mobile Data Traffic Forecast (2013-2018) mobile offload projections include traffic from public hotspots and residential Wi-Fi networks.

- More mobile data traffic will be offloaded onto Wi-Fi from mobile-connected devices (17.3 exabytes per month) than will remain on mobile networks by 2018 (15.9 exabytes per month).

- By 2018, 52 percent of global mobile traffic will be offloaded onto Wi-Fi/small cell networks, up from 45 percent in 2013.

Global Mobile Application Analysis: Video Remains on Top

Mobile video traffic will increase 14-fold from 2013 to 2018 and will have the highest growth rate of any mobile application category.

- By 2018, mobile video will be 69 percent of global mobile traffic, up from 53 percent in 2013.

- By 2018, web and other data applications will be 17 percent of global mobile traffic, down from 28 percent in 2013.

- By 2018, streaming audio will be 11 percent of global mobile traffic, down from 14 percent in 2013.

- By 2018, file sharing will be three percent of global mobile traffic, down from four percent in 2013.

Methodology: The Cisco VNI Global Mobile Data Traffic Forecast (2013-2018) relies upon independent analyst forecasts and real-world mobile data usage studies. Upon this foundation are layered Cisco’s own estimates for mobile application adoption, minutes of use, and transmission speeds. Key enablers such as mobile broadband speed and device computing power are also factored into Cisco mobile VNI projections and findings.

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Cisco Forecasts 11-Fold Increase in Global Mobile Data Traffic by 2018

According to the Cisco Visual Networking Index Global Mobile Data Traffic Forecast for 2013 to 2018, worldwide mobile data traffic will increase nearly 11-fold over the next four years and reach an annual run rate of 190 exabytes by 2018.

The projected increase in mobile traffic is partly due to continued strong growth in the number of mobile Internet connections, such as personal devices and machine-to-machine (M2M) connections, which will exceed 10 billion by 2018 and be 1.4 times greater than the world’s population (the United Nations estimates 7.6 billion people by 2018).

An exabyte is a unit of information or computer storage equal to one quintillion bytes or one billion gigabytes.

The Cisco VNI Global Mobile Data Traffic Forecast’s annual run rate of 190 exabytes of mobile data traffic for 2018 is equivalent to:

- 190 times more than all Internet Protocol (IP) traffic, fixed and mobile, generated in 2000

- 42 trillion images (e.g., multimedia message service or Instagram)—15 daily images per person on earth for a year

- 4 trillion video clips (e.g., YouTube)—more than one daily video clip per person on earth for a year

The incremental amount of traffic being added to the mobile Internet just between 2017 and 2018 is 5.1 exabytes per month, which is more than three times the estimated size of the entire mobile Internet in 2013 (1.5 exabytes per month).

Key Global Mobile Data Traffic Drivers

From 2013 to 2018, Cisco anticipates that global mobile traffic growth will outpace global fixed traffic growth by a factor of three.

The following trends are driving mobile data traffic growth:

- More mobile users: By 2018, there will be 4.9 billion mobile users, up from 4.1 billion in 2013.

- More mobile connections: By 2018, there will be more than 10 billion mobile-ready devices/connections—including eight billion personal mobile devices and two billion M2M connections, up from seven billion total mobile-ready devices and M2M connections in 2013.

- Faster mobile speeds: Average global mobile network speeds will nearly double from 1.4 Mbps in 2013 to 2.5 Mbps by 2018.

- More mobile video: By 2018, mobile video will represent 69 percent of global mobile data traffic, up from 53 percent in 2013.

Global Shift to Smarter Devices

- Globally, 54 percent of mobile connections will be “smart” connections by 2018, up from 21 percent in 2013. Smart devices and connections have advanced computing/multi-media capabilities and a minimum of 3G connectivity.

- Smartphones, laptops, and tablets will drive about 94 percent of global mobile data traffic by 2018. M2M traffic will represent five percent of 2018 global mobile data traffic while basic handsets will account for 1 percent of global mobile data traffic by 2018. Other portables will account for 0.1 percent.

- Mobile cloud traffic will grow 12-fold from 2013 to 2018, a 64 percent compound annual growth rate (CAGR).

Impact of Machine-to-Machine Connections (and Wearable Devices)

M2M refers to applications that enable wireless and wired systems to communicate with similar devices to support global positioning satellite (GPS) navigation systems, asset tracking, utility meters, security and surveillance video.

A new “wearable devices” sub-segment has been added to the M2M connections category to help project the growth trajectory of the Internet of Everything (IoE). Wearable devices include things that are worn by people such as smart watches, smart glasses, health and fitness trackers, wearable scanners with capability to connect and communicate to the network either directly via embedded cellular connectivity or through another device such as a smartphone via Wi-Fi and Bluetooth.

- In 2013, M2M connections represented nearly five percent of mobile-connected devices in use and generated more than one percent of total mobile data traffic

- By 2018, M2M connections will represent nearly 20 percent of mobile-connected devices in use and generate almost six percent of total mobile data traffic.

- In 2013, there were 21.7 million global wearable devices. By 2018, there will be 176.9 million global wearable devices or a 52 percent CAGR.

Impact of Faster Global Mobile Network Connection Speeds

The average mobile connection is expected to nearly double from 2013 to 2018. Mobile connection speeds are a key factor in supporting/accommodating mobile data traffic growth.

4G Mobile Adoption and Traffic Growth

Many global service providers are deploying 4G technologies to address consumer and business users’ strong demand for wireless services and content. In many emerging markets, service providers are creating new mobile infrastructures with 4G solutions. In some mature markets, service providers are supplementing or replacing legacy 2G or 3G solutions with 4G technologies.

- By 2018, 4G connections will support 15 percent of all connections, up from 2.9 percent in 2013.

- By 2018, 4G connections will support 51 percent, or 8 exabytes per month, of total mobile data traffic, up from 30 percent, or 448 petabytes per month, in 2013.

- 4G traffic will grow 18-fold from 2013 to 2018, a 78 percent CAGR.

Wi-Fi Offload Traffic Surpasses Cellular Traffic

“Offload” refers to traffic from dual mode devices and supports cell and Wi-Fi connectivity, excluding laptops) over Wi-Fi and small cell networks. Offloading occurs at the user or device level when one switches from a cell connection to Wi-Fi and small cell access. The Cisco VNI Global Mobile Data Traffic Forecast (2013-2018) mobile offload projections include traffic from public hotspots and residential Wi-Fi networks.

- More mobile data traffic will be offloaded onto Wi-Fi from mobile-connected devices (17.3 exabytes per month) than will remain on mobile networks by 2018 (15.9 exabytes per month).

- By 2018, 52 percent of global mobile traffic will be offloaded onto Wi-Fi/small cell networks, up from 45 percent in 2013.

Global Mobile Application Analysis: Video Remains on Top

Mobile video traffic will increase 14-fold from 2013 to 2018 and will have the highest growth rate of any mobile application category.

- By 2018, mobile video will be 69 percent of global mobile traffic, up from 53 percent in 2013.

- By 2018, web and other data applications will be 17 percent of global mobile traffic, down from 28 percent in 2013.

- By 2018, streaming audio will be 11 percent of global mobile traffic, down from 14 percent in 2013.

- By 2018, file sharing will be three percent of global mobile traffic, down from four percent in 2013.

Methodology: The Cisco VNI Global Mobile Data Traffic Forecast (2013-2018) relies upon independent analyst forecasts and real-world mobile data usage studies. Upon this foundation are layered Cisco’s own estimates for mobile application adoption, minutes of use, and transmission speeds. Key enablers such as mobile broadband speed and device computing power are also factored into Cisco mobile VNI projections and findings.

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...