Corporate IT in 2020 continues to be strongly influenced by consumer technologies, but for once we note a concerted effort to adopt emerging technologies in the new flagship categories to professional use. This is particularly the case in areas such as blockchain, digital twins, marketing integration solutions and digital transformation platforms.
It should also be noted that companies are still struggling to adopt the multitude of relevant new technologies that have come onto the market recently.
As a result, the portfolio of emerging technologies to be managed continues to grow rapidly, even as IT spending and overall technological absorption capacity increase by only a few per cent. It’s an untenable proposition that is putting more and more IT entities to the test.
More particularly, this situation creates backlogs of services that push the implementation and acquisition of edge IT, that is to say, systems that are not considered to be of crucial importance at the enterprise level, towards Trades, which proceed as they see fit. It thus encourages what is called Shadow IT projects at the departmental level.
Here is the detail, which shows the elements of the graph more or less clockwise, with a brief note explaining why each technology is important and data as to its prospects, if available.
It remains complicated to separate the subject of machine learning from that of artificial intelligence. However, I categorize machine learning (also known as machine learning) as the ability of systems to learn from data in an unsupervised manner and with minimal assistance, while artificial intelligence represents systems capable of improving through more abstract reasoning that does not necessarily depend on the data.
It is more difficult to disentangle the forecasts for the two since they are often grouped in the same category. However, a prominent report published this year, building on the expected generalization of machine learning to support workplace activities (a feeling that I fully share), forecasts annual growth of 43% in the category, which will reach $ 3.7 billion in revenue by 2021.
It is still a niche technology despite being supported by heavyweights in the industry such as Samsung with its affordable but high-quality headphones, Gear VR and Apple with its new ARKit. However, virtual reality should take up more and more space in the experience of end-users as the technology becomes more sophisticated and, above all, less cumbersome and intrusive.
While the market is only a little over half a billion dollars today, virtual reality is expected to grow at a whopping 133% per year on average, becoming an industry of $ 35 billion by 2021.
Cognitive systems have become powerful enough to start solving some of our most complex business issues. They are at the top of the list of priorities for many companies in terms of investment, acquisition and IT capacity. This industry is expected to grow at an annual rate of 52% and represent a market of $ 36 billion by 2025.
As just about every manufactured item in the world (and quite a few unmanufactured items that will be fitted with sensors) is becoming massively connected, the number of devices on our networks is expected to increase exponentially. This creates great business opportunities for companies that are ready to tap into the global flow of data, analysis and the two-way ability to control and dialogue that the Internet of Things represents.
The Internet of Everything is even more strategic and becomes a catch-all term that describes the addition of connectivity and intelligence to practically all connected devices and scenarios in order to give them useful intelligent functions. The figures for the Internet of Things have something to impress with their scale.
The Internet of Things market will represent $ 267 billion by 2020, with a compound annual growth rate (CAGR) of at least 20% across all levels of the Internet of Things stack. For its part, the internet of everything should become a vast industry of 7 trillion dollars via a growth rate of 16%, since a large part of the connected computing universe can be attributed to it.
Complex, but a historic amalgamation of network, cryptography and database technologies, blockchain and decentralized recording systems are causing a lot of turmoil in sectors such as health, insurance and especially finance, given the roots of blockchain in Bitcoin.
While many businesses are struggling with the implications of open and decentralized bookkeeping for their business model, it is clear that most of the existing closed and proprietary transaction logging systems are likely to the end of their useful life. Blockchain and related models for ledgers are expected to grow at an annual rate of 58% and create a market of $ 5.4 billion by 2023.
Few mobile technologies are expected as much as 5G, the next generation of wireless telecommunications infrastructure and standards. It will offer dramatic increases in throughput (up to 1 Gbit / s in some cases) and enable new high-value operational scenarios, such as immersive virtual reality telepresence, 4K / 8K video streaming and other uses requiring very high speed.
Although its marketing is not expected before at least 2019, 5G is expected to affect many markets and industries, despite real difficulties in transmitting millimetre waves over long distances, fueling futuristic experimental 5G projects. Spending on 5G is expected to grow 70% a year and reach at least $ 28 billion a year in revenue by 2025.
With the continued expansion of Apple Pay, the rise of Samsung Pay and the use of mobile devices for payments in developed and developing countries, the smart device is quickly becoming the wallet of the future.
Businesses need to prepare to access these revenue streams and monitor industry developments closely, as revenue streams move to digital channels, which are not as much controlled by traditional financial institutions. Mobile payments are expected to grow 20% annually globally and become a $ 1.7 trillion industry by 2022.
Without a doubt the real top priority for many CIOs, cybersecurity has taken a predominant place in IT investment and strategy, even if it is almost exclusively a cost centre that ensures the smooth running of the business. and customer safety.
Adaptive cybersecurity uses a combination of artificial intelligence and other methods to dynamically change tactics and detect and then eliminate threats as quickly as possible. It is at the forefront of security methods. Adaptive cybersecurity will grow 15% annually and become a $ 7 billion industry by 2021.
Although not typically grouped in the same category, smart advisers and chatbots are nonetheless digital facilitators who employ a simple engagement mode to get IT systems to perform the tasks that are needed, from support to clients until financial analysis.
The more specialized field of intelligent advisers will grow by 34% per year and will become a market of 4.3 billion dollars by 2022, while the larger industry of chatbots will grow at the same rate and will represent 3.1 billion dollars about the same time.
One of the less well-kept secrets in the marketing technology industry is that they hardly go together without manual integration, despite a rapidly expanding multichannel universe where this is by far the biggest problem currently flagged by brands.
However, as I have recently studied in the difficulties of companies in obtaining a unique view of the customer, the explosion of marketing solutions only aggravates the problem. However, there is no proper category of marketing integration tools, even if a certain number of solutions apply at least to part of the problem.
There is much to be said for the mismatch between the availability of marketing technologies and the real needs of customers today. However, we can use marketing automation as a surrogate industry that offers some integration of marketing technologies: it will grow 11% a year and be an $ 8 billion industry by 2025.
There is no longer any need to introduce public cloud computing, which is expected to host the majority of corporate workloads by the end of the year or early 2018. IDC estimates that public cloud computing will be an industry of 203 billion dollars by 2020, with an annual growth rate of 22%.
Combining tactical analytical processing and strategic business intelligence capable of processing huge amounts of data in a short time to generate useful operational results, big data remains a dominant subject in the software industry and on the priority list CIOs. IDC predicts that the discipline will represent an industry of $ 203 billion by 2020, with an annual growth rate of 12%.
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