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APAC leads Global mobile trends

The annual Cisco® Visual Networking Index (VNI) Global Mobile Data Forecast, just out, once again shows the phenomenal growth expected in the mobile industry, e.g. more than 5.2 billion global mobile users by 2019 and 10-fold mobile traffic growth over the next five years. See Thomas Barnett’s blog to learn more.

For me the interest is to look into the APAC specific trends and the unique characteristics of this very diverse region. APAC averages show trends similar to the Global view, but let’s compare super developed Japan with the developing markets in Indonesia and India also:

Cisco VNI Mobile Data APAC Statistics for 2014

Cisco VNI Mobile Data APAC Statistics for 2014

Some observations on demand; Developed markets are already dominated by smart devices and their large data consumption, but driven by new connections (multiple devices per user and M2M(machine 2 machine)) demand still grows. Developing markets are still migrating Read More »

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Mobile Traffic from Wearables Explodes as the Internet of Everything Accelerates

Are you Ready?

Cisco first asked this question in a 1999 advertising campaign when the incredible potential of the Internet was just beginning to become apparent.

Our ‘Are You Ready?’ ad campaign carried a simple message to the world’s businesses, telecommunications providers, and public institutions: get your Internet infrastructure ready now or risk being left behind in a world that is rapidly moving towards online-commerce, supply chain digitization and connected workforces.

Some moved quickly, but others failed to heed the warning. 45% of the companies on the Fortune 500 list in 1999 were no longer on the 2014 list, with dozens making way for nimbler more web-savvy competitors..

Today, as Cisco publishes its latest Visual Networking Index (VNI) study, our biannual global study of fixed and mobile data traffic, I see another ‘Are You Ready?’ moment in the making.

It is two years since Cisco quantified the astonishing $19 trillion economic potential of the Internet of Everything at the World Economic Forum in Davos. Today, just twenty four months later, we’re seeing an acceleration of the impact of the Internet of Everything on global networks. Here are some of the highlights of the VNI study:

• There will be eight billion connected mobile devices by 2019
• 3.2 billion of those – 40 percent of mobile Internet – will be machine-to-machine connections, such as wearable devices
• Cisco forecasts an 18-fold growth in mobile traffic from wearable devices (most of it channeled through smartphones) from 2015 to 2019.
• Wearable device traffic growth will be fueled by a five-fold growth in the number of connected devices, reaching 578 million by 2019, up from 109 million in 2014.

Read More »

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Register for the latest Cisco Visual Networking Index (VNI) Global Mobile Data Traffic Forecast Webcast

On February 3, 2015, we will release the ninth annual Cisco Visual Networking Index (VNI) Global Mobile Data Traffic Forecast and Methodology Update, covering projected growth and usage trends over the next five years. Annual Cisco VNI GLobal Mobile Data Traffic Forecast Update This is your opportunity to learn about Cisco’s projections for global mobile data traffic increases, primary influences on mobile traffic, and major transitions in wireless technology. The Cisco VNI mobile forecast is part of the company’s comprehensive and ongoing initiative to analyze mobile IP growth and innovations worldwide. Join Doug Webster, vice president, Service Provider Marketing, and Dr. Robert Pepper, vice president of Global Technology Policy, as they present Read More »

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Capturing Value from Data in Motion in the Internet of Everything

Much has been written about the vast number and variety of things that will soon be connected to the Internet—from milk cartons and alarm clocks to sensors and trains. Already in 2008, that number exceeded the number of people on earth. By 2020, when the next incarnation of the Internet—aka the Internet of Things—is in full swing, the number is expected to reach 50 billion. And it’s not just things that will add value and relevance to networked connections, but also people, data and processes.

Think about it. Through their interactions with the Web, social networks and devices—especially mobile devices—people have a massive multiplier effect on the amount of IP traffic traversing the network. In 2012 alone, new, more powerful smartphone technologies combined with growth in both mobile bandwidth and apps produced annual mobile data traffic nearly 12 times greater than the total Internet traffic in 2000 (Cisco Mobile VNI 2013).  

Add to that a coming tsunami of constantly streaming data as sensors in just about everything become the norm—not just wearable sensors attached to our bodies, clothes and shoes, but also sensors, meters and actuators in our cars, machinery and infrastructure. And let’s not forget the critical role that processes will play in managing and automating this explosive growth in connections as well as in the collection, analysis and communication of data. People, data, processes and things. Together, they will make up the next phase of the Internet of Things—the Internet of Everything.

Data in Motion vs. Data at Rest

Zooming in on data in the age of the Internet of Everything, there’s another critical distinction that needs to be made. You see, not all data is created equal. Most of the new data being generated today is real-time data that fits into a broad category called Data in Motion. This refers to the constant stream of sensor-generated data that defies traditional processes for capture, storage and analysis, and requires a fundamentally different approach.IoE Jim Gubb Blog1

Let’s back up a minute. Historically, in order to find gems of actionable insight, enterprises have tended to focus their analytics or business intelligence applications on data captured and stored using traditional relational data warehouses or “enterprise historian” technologies.

However, the limits of this approach have been tested by the increase in volume of this so-called Data at Rest. The challenges inherent in collecting, searching, sharing, analyzing and visualizing insights from these ever-expanding data sets have led to the development of massively parallel computing software running on tens, hundreds, or even thousands of servers. As innovative and adaptive as these Big Data technologies are, they still rely on historical data to find the proverbial needle in the haystack.

This rising tide of Data in Motion is not going to slow down. In fact, as the Internet of Everything gathers momentum, the vast number of connections will trigger a zettaflood of data, at an even more accelerated pace. While this new Data in Motion has huge potential, it also has a very limited shelf life. As such, its primary value lies in its being captured soon after it is created—in many cases, immediately after it is created.

For instance, real-time traffic information from cameras, sensors and connected cars allows drivers to avoid traffic jams and use sugConnect_This_coffee_1281gested alternate routes, potentially reducing hours of unproductive time spent behind the wheel. Similarly, manufacturers can connect their stock inventory with their suppliers’ production systems so that potential delays can be identified as early as possible and corrective actions taken on their respective shop floors to better prioritize people’s activities. In each of these cases, it’s easy to see the added value of connecting not just things, but also people, data and processes.

The real challenge for data-driven organizations is how to manage and extract value from this constant stream of information, and turn it to competitive advantage. Data in Motion represents a new type of data whose value can not always be extracted through traditional analytics. In a next post, we will look at examples of Data in Motion and how to extract value from it.

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