The latest edition of the Ericsson Mobility Report forecasts that there will be 550 million 5G subscriptions in 2022. North America will lead the way in uptake of 5G subscriptions, where a quarter of all mobile subscriptions are forecast to be for 5G in 2022.
Asia Pacific will be the second fastest growing region for 5G subscriptions, with 10 percent of all subscriptions being 5G in 2022.
This year, Ericsson has published 5 Regional Reports with the Global Mobility Report. The Sub-Saharan Africa Mobility Report reveals that while total mobile subscriptions penetration in the region is currently 85 percent, this number is expected to reach 105 percent by 2022 with over 1 billion mobile subscriptions. This makes Sub-Saharan Africa, the region with highest growth rate in mobile subscriptions globally.
From 2016 to 2022, Sub-Saharan Africa will dramatically shift from a region with a majority of GSM/EDGE-only subscriptions, to around 83 percent of all subscriptions on WCDMA/HSPA and LTE.
By the end of 2016, there will be 3.9 billion smartphone subscriptions globally. Almost 90 percent of these subscriptions will be registered on WCDMA/HSPA and LTE networks. By 2022, the number of smartphone subscriptions is forecast to reach 6.8 billion, with more than 95 percent of the subscriptions registered on WCDMA/HSPA, LTE and 5G networks. In Sub-Saharan Africa smartphones penetration will reach around 80 percent by 2022 while mobile subscriptions on smartphones will rise by 21 percent annually from 2016 to 2022.
The report also highlights the role Internet of Things plays in providing new means to deliver efficient, innovative solutions that meet socio-economic challenges and transform business models to unlock growth in sub-Saharan Africa. Across sub-Saharan Africa, the report projects cellular IoT connections growing from 11 million in 2016 to 75 million connections in 2022.
The latest Ericsson Mobility Report also forecasts that in 2022, there will be 8.9 billion mobile subscriptions, of which 90 percent will be for mobile broadband. At this point in time, there will be 6.1 billion unique subscribers.
As of Q3 2016, 84 million new mobile subscriptions were added during the quarter to reach a total of 7.5 billion, growing at around 3 percent year-on-year. India grew the most in terms of net additions during the quarter (+15 million), followed by China (+14 million), Indonesia (+6 million), Myanmar (+4 million) and the Philippines (+4 million). Mobile broadband subscriptions are growing by around 25 percent year-on-year, increasing by approximately 190 million in Q3 2016 alone. The total number of mobile broadband subscriptions is now around 4.1 billion.
Mobile data traffic continues to grow, driven both by increased smartphone subscriptions and a continued increase in average data volume per subscription, fueled primarily by more viewing of video content. In Q3 2016, data traffic grew around 10 percent quarter-on-quarter and 50 percent year-on-year.
A rise in access and viewing of video content is also a driver for mobile data traffic growth in Sub-Saharan Africa. Other drivers are wider network coverage, continued reduction in prices of both devices and services and a growing population with 57% of the current population under 15 years old.
Jean-Claude Geha, President of Ericsson Sub-Saharan Africa says: “Data traffic is forecast to grow by around 55 percent annually between 2016 and 2022 , that is a 13 times growth. This rapid growth is driving operators to explore methods of optimizing network capacity, one of which is complementing traffic via Wi-Fi networks – with traffic expected to rise 70% annually between 2016 and 2022.”
Further highlights from the Ericsson Mobility Report include:
Mobile video traffic is increasingly dominant: Mobile video traffic is forecast to grow by around 50 percent annually through 2022 to account for nearly 75 percent of all mobile data traffic. Social networking is the second biggest data traffic type after video, forecast to grow by 39 percent annually over the coming six years.
Live streaming joins social media: Consumers are increasingly using live video streaming apps to interact with friends, family and followers. Around one in five smartphone users in the US express an interest in live video broadcasting, with twice as many smartphone users in high growth markets like India, Indonesia, Brazil and Oman who are interested in such apps.
IoT in focus: Around 29 billion connected devices are forecast by 2022, of which around 18 billion will be related to IoT. Included in the latest edition of the Ericsson Mobility Report is a deeper look into IoT, with three feature articles with different perspectives on IoT and its transformational potential. Two articles are co-written with operators that have built IoT solutions around their core assets, creating additional business value. The third article explores the cellular networks’ capabilities to support a realistic massive IoT use case scenario.
Data gives coaches new eyes in sports
Collecting and analysing data is entering a new era as it transforms both coaching and strategy across sports ranging from rugby to Formula 1, writes ARTHUR GOLDSTUCK
Coaches and managers have always been among the stars of any sports. They become household names as much as the sports heroes that populate their teams. Now, thanks to the power of data collection and analysis, they are about to raise their game to unprecedented levels.
The evolution of data for fine-tuning sports performance has already been experienced in Formula 1 racing, baseball and American football. All are known for the massive amount of statistic they produce. Typically, however, these were jealously guarded by coaches trying to get an edge over their rivals. Thanks to the science of “big data”, that has changed dramatically.
“American baseball has the most sophisticated data science analytics of any sports in the world because baseball has this long history of stats,” said Ariel Kelman, vice president of worldwide marketing at Amazon Web Services (AWS), the cloud computing giant that is working closely with sports teams and leagues around the world. “It’s an incredibly opaque world. I’ve tried for many years to try and get the teams to talk about it, but it’s their secret sauce and some of these teams have eight, nine or ten data scientist.”
In an interview during the AWS Re:Invent conference in Las Vegas last week, Kelman said that this statistical advantage was not lost on other sports, where forward-thinking coaches fully understood the benefits. In particular, American football, through the National Football League there, was coming on board in a big way.
“The reason they were behind is they didn’t have the player tracking data until recently in in the NFL. They only had the player tracking data three years ago. Now the teams are really investing in it. We did an announcement with the Seattle Seahawks earlier this week; they chose us as their machine learning, data science and cloud provider to do this kind of analysis to help figure out their game strategy.
“They are building models predicting the other teams and looking at players and also evaluating all their practices. They are setting up computer vision systems so that they can track the performance of the players during their practices and have that inform some of the game strategies. The teams then even talk about using it for player evaluation, for example trying to figure out how much should we pay this player.”
Illustrating the trend, during Re:Invent, Kelman hosted a panel discussion featuring Rob Smedley, a technicalconsultant to Formula 1, Cris Collinsworth, a former professional footballer in the NFL and now a renowned broadcaster, and Jason Healy, performance analytics managerat New Zealand Rugby.
Healey in particular represents the extent to which data analysis has crosses sporting codes. He has spent four yearswith All Blacks, after 10 years with the New Zealand Olympic Committee, helping athletes prepare for the OlympicGames.
“The game of rugby is chaos,” he told the audience. “There’s a lot of a lot of things going on. There’s a lot of trauma and violence and it can be difficult to work out the load management of each player. So data collection is a big piece of the technical understanding of the game.
“A problem for us in rugby is the ability to recall what happened. We have to identify what’s situational and what’s systemic. The situational thing that happens, which is very unlikely to be replicated, gets a lot of attention in rugby. That’s the sensational big moment in the game that gets talked about. But it’s the systemic plays and the systemic actions of players that lies underneath the performance. That’s where the big data starts to really provide some powerful answers.
“Coaches have to move away from those sensational andsituational moments. We’re trying to get them to learn what is happening at that systemic level, what is actually happening in the game. How do we adjust? How do we make our decisions? What technical and defensive strategies need to change according to the data?”
Healey said AWS was providing platforms for tracking players and analysing patterns, but the challenge was to bring people on this technology journey.
“We’re asking our coaching staff to change the way they have traditionally worked, by realising that this data does give insights into how they make their decisions.”
Kelman agreed this was an obstacle, not just in sport, but in all sectors.
“Across all of our customers, in all industries, one of the things that’s often underestimated the most is that getting the technology working is only the first step. You have to figure out how to integrate it with the processes that us humans, who dislike change, work with. The vast majority of it is about building knowledge. There’s ways to transfer that learning to performance.”
Of course, data analytics does not assure any side of victory, as the All Blacks discovered during the recent Rugby World Cup, when they were knocked out in the semi-finals, and South Africa went on to win. We asked Healey how the data-poor South Africans succeeded where the data-rich All Blacks couldn’t.
“You have to look at how analytics and insights and all thesetechnologies are available to all the coaches these days,” he said. The piece that often gets missed is the people piece. It’s the transformation of learning that goes into the player’sactual performance on the field. We’re providing them with a platform and the information, but the players have to make the decisions.. We can’t say that this particular piece of technology played a role in winning or losing. It’s simply just a tool.”
The same challenge faces motor racing, which generates massive amounts of data through numerous sensors and cameras mounted in vehicles. Rob Smedley, who spent 25 years working in engineering roles for Formula 1 teams, quipped that his sport had a “big data” problem before the phrase was invented.
“We’ve always been very obsessive about data. Take car telemetry, where we’ve got something like 200 to 300 sensors on the car itself. And that goes into something like two to three thousand data channels. So we’re taking about around 600 Gigabytes of data generated every single lap, per car.
“On top of that, where we’ve also got all the time data and GPS data. The teams are using it for performance advantage. We’re into such marginal gains now because there are no bad teams in Formula 1 anymore. Data analytics provide those marginal gains.”
• Arthur Goldstuck is founder of World Wide Worx and editor-in-chief of Gadget.co.za. Follow him on Twitter and Instagram on @art2gee
IoT faces 5-year gap
In five years, the world will have more than 40 billion devices. Locally, IoT specialist,Eseye, says that South African CIOs are recognising IoT (Internet of Things) and M2M (Machine to Machine) technologies as strategic imperatives, but the journey is still in its infancy.
“As legacy systems start to reach end of life, digital shifts will become inevitable. This, coupled with an increasing demand for improved bottom line results from existing and new markets, makes IoT a more viable option over the next five years. This is particularly prevalent in manufacturing, especially where time to market and product diversification has become necessary for business survival,” says Jeremy Potgieter, Regional Director – Africa, Eseye.
He says that within this sector one thing matters – output: “Fulfilling the product to market lifecycle is what makes a manufacturer successful. Addressing this functionality and production optimisation through technology is becoming more critical as they focus on increasing output and reducing downtime. By monitoring machinery and components in the production line, any concerns that arise, which impacts both the manufacturer and consumers alike, will be more efficiently dealt with by using an IoT approach.”
Potgieter says that there is also the growing strategic approach to increase the bottom line through new markets. As manufacturers seek new revenue streams, Eseye is encouraging the use of rapid IoT enabled device product development : “By addressing the connectivity aspects required at deployment, manufacturers are immediately diversifying their portfolios. Eseye, as an enabler, assists by providing market ready SIMs, which can be embedded into IoT connected devices at OEM level, connecting them to a plethora of services (as designed for) upon entry to market, anywhere in the world.”
In addition, Potgieter says that organisations are increasingly looking towards IoT connectivity managed services to capitalise on specialist expertise and ensure the devices are proactively monitored and managed to ensure maximum uptime, while reducing data costs.
Impacting IoT adoption though, is undoubtedly the network infrastructure required. Potgieter says that this varies significantly and will depend on criteria such as sensor types and corresponding measurements, the overall communication protocols, data volume, response time, and analytics required: “While the majority of IoT implementations can be enabled using cloud-based IoT platform solutions, the infrastructure required still remains important. A cloud platform will simplify infrastructure design and enable easy scaling capability, while also reducing security and data analytics implementation issues.”