Trends Identified
Electrification of the transport system
Electrification of short-haul transportation enabled by advanced battery breakthroughs for inexpensive, quick charging energy dense batteries could disrupt the market for carbon intensive internal combustion engines and make zero-emissions EVs cost and performance competitive.
2017
Innovation for the Earth - Harnessing technological breakthroughs for people and the planet
PWC
Electrification
Replacing traditional energy sources with electric energy – most notably in vehicles – is being driven by regulatory and technological changes and by growing consumer demand. The growth in electric vehicles sales is expected to be 25 to 30 percent a year to 2025 (see Exhibit 4). A senior executive at a European OEM believes it will affect at least half of the sector’s revenues, both in vehicles and infrastructure. Stricter emission regulations and lower battery costs are all contributing to the flurry of activity in this area.
2018
Disruptive forces in the industrial sectors - Global executive survey
McKinsey
Electric Car Quick Charging Technology
The market penetration rate of electric cars is expected to increase rapidly within 10 years and the charging technology will lead these changes with high demand.However, revolutionary improvement of the charging speed comparable to the current speed is necessary.
2011
KISTEP 10 Emerging Technologies 2011
South Korea, Korea Institute of S&T Evaluation and Planning (KISTEP)
Edge to Core and IoT Much More
Last year, my first four trends were basically around IoT, AI, Machine Learning and Edge. This year, the four become one because they are so deeply interconnected. As the IoT grows—and the number of connected devices skyrockets—it makes sense that we need more space—and closer space—to process the data it’s working to capture and process. The concepts of Smart Cities and Autonomous Vehicles have zero chance of being realized if data processing has to happen in the cloud. That means we’ll be leading more and more toward edge computing in terms of 2019 digital transformation trends. Analytics and data won’t just be for processing—they’ll be for processing in real-time. And that’s something only the edge can support right now. Now, its important that I emphasize that edge and cloud are not mutually exclusive. Cisco refers to the interdependence of edge and cloud as “The Fog” as they recognize that critical data interactions that take place between the edge and the cloud to maximize data utilization. While their vernacular may or may not become ubiquitous with the connection between edge and core, you can be certain that the two will work together tirelessly to achieve the possibilities being sold to us with AI, IoT and Machine Learning.
2018
Top 10 Digital Transformation Trends For 2019
Forbes
Edge Computing to Fast Track the IoT
‘Investment into Edge Computing or ‘Fog Computing’ will fast track the IoT (Internet of Things)’. Faster speeds and lower latency enabled by the placing ‘micro’ data centres at the edge of the mobile network. Will play a vital role in the delivery of IoT services, which require low latency or are data intensive. New architecture will necessitate new network security features at both network and device level.
2018
Top Tech trends 2018
Juniper Research
Edge Computing
If you think you’ve already been pushed to the edge when it comes to digital transformation, look out: you haven’t seen anything yet. Just when many companies are finally beginning to move toward cloud computing, edge computing — driven by the sheer volume and speed of information produced by the IoT—is jumping to the forefront of the business scene. Industry leaders such as Cisco and HPE have made huge hardware, software and service bets on this movement, which I look at as strong validation of this trend. As smart drones, autonomous vehicles, and other AI-powered smart devices seek to connect and communicate instantly via the IoT, the matter of sending data “all the way” to the cloud will become highly impractical. Many of these devices will need real-time response and processing, making edge computing the only viable option. For those of you who have just jumped into the cloud generation: don’t fret. Though edge will continue to be the go-to choice for processing real-time data, it’s likely that the most important and relevant data will still head cloud-ward.
2016
Top 10 trends for digital transformation in 2018
Forbes
Ecosystem revolution
The terms of competition are changing: as interconnected networks of partners, platforms, customers, and suppliers become more important, we are experiencing a business ecosystem revolution.
2017
The global forces inspiring a new narrative of progress
McKinsey
Ecosystem power plays
Companies are increasingly integrating their core business functionalities with third parties and their platforms. But rather than treat them like partnerships of old, forward-thinking leaders leverage these relationships to build their role in new digital ecosystems – instrumental to unlocking their next waves of strategic growth. As they do, they’re designing future value chains that will transform their businesses, products, and even the market itself.
2017
Technology vision 2017, amplify you
Accenture
Ecosystem at risk
Our ecosystem and its biodiversity are crucial to mankind in order to ensure food security, clean water, protection against extreme weather and provision of medicines. These benefits have been estimated to be worth between USD 21-72 trillion each year, a huge sum compared to the world GDP of USD 62 trillion in 2009.
2011
Trend compendium 2030
Roland Berger Strategy Consultants
Economy, jobs and productivity
Digital technologies will continue to have major impacts on economies and societies. Over the next 15 years, firms will become predominantly digitalised, enabling product design, manufacturing and delivery processes to be highly integrated and efficient. The costs of equipment and computing will continue to fall, while the rise of open source development practices will create further communities of developers. There will be greater opportunity for entrants – including individuals, outsider firms and entrepreneurs – to succeed in new markets. At the same time, the decreasing cost of computing power and advances in machine learning and artificial intelligence will further disrupt labour markets, with one in ten jobs in OECD countries at high risk of being automated over the next two decades.
2016
OECD Science, Technology and Innovation Outlook 2016
OECD