Beginning of Technology
Several categories of technologies according to their maturity
This does not mean that relatively common technological bases such as public cloud computing, cybersecurity or big data have become commonplace and are therefore about to be removed from the list. In fact, they are mutating and evolving more than ever and must remain at the forefront of the technologies that most companies must keep a close eye on today.
According to my analysis, therefore, here is the list of business technologies that companies must keep an eye on in order to develop their skills, assess their tactical and strategic impact, test them, and prepare for subsequent adoption. large scale, often as part of a more systematic program of digital transformation.
As in previous years, I have also annexed to the technologies to be monitored this year a list of technologies that are on the horizon and that will almost certainly play an important role in the years to come, but which must for the moment be relegated mainly monitoring and surveillance, unless they have a short-term impact on your core business.
Here is the detail, which takes the elements of the graph more or less clockwise, with a brief note explaining why each technology is important and data about its prospects, if available.
1. Machine learning
It remains complicated to separate the subject of machine learning from that of artificial intelligence. However, I categorize machine learning (also called machine learning) as the ability of systems to learn from data in unsupervised and with minimal help, while artificial intelligence represents systems capable of improve via more abstract reasoning that does not necessarily depend on the data.
It is more difficult to disentangle the forecasts for both, as they are often in the same category. However, a leading report published this year , building on the expected generalization of machine learning to support workplace activities (a sentiment I fully share), predicts annual growth of 43% in the category.
2. Contextual computing
The growing desire to increase productivity and collaboration by providing information on demand, usually exactly when it is needed and before it is explicitly requested, has already become an important market.
Established industry players such as Apple, Intel and Nokia are already imagining and / or offering context-sensitive APIs, while a slew of startups are competing for a place in this early market. Contextual computing is expected to grow at an annual rate of 30% and represent a $ 125 billion astronomical market by 2023, largely due to the widespread use of smart agents and consumer mobile devices.
3. Virtual reality
It’s still a niche technology despite being supported by industry heavyweights such as Samsung with its affordable but high-quality headset, Gear VR and Apple with its new ARKit . Nevertheless, virtual reality should become more and more important in the end-user experience as technology becomes more sophisticated and, above all, less cumbersome and intrusive.
While the market is only half a billion dollars today, virtual reality is expected to grow at a staggering 133% per year on average , becoming a $ 35 billion industry by 2021.