5 Tech Trends to Follow in 2016

Perhaps, one of the most urgent questions that can keep a tech guy awake at night is, “Am I following the latest tech trends?” Quick changes and innovations in the IT industry mean that a good IT specialist and other technologists can’t afford to lose focus as they move into 2016. But a logical question is “What trends are we going to be following in 2016?”. Check our blog post that has some forecasts and tech predictions for IT specialists.

Computerworld has organized a survey among 182 CIOs and senior technologists to find out where we should be heading into 2016. Their Forecast for 2016 points to 5 fast-track trends – IT as a change agent, cloud computing, security, the Internet of Things, and analytics.

1. IT as a key of changes


IT may finally take first place as the key topic of most businesses in 2016, as digital transformation and innovations become a top strategic priority. Most CIOs and their tech organizations expect to increase their IT budget. 46% of all respondents to the Forecast survey said that they’re expecting greater technology spending, with tech budget increases averaging 14.7%.

By identifying new areas of spending, CIOs and tech experts said that their companies are going to increase investments into the Internet of Things (29% of respondents), high-performance computing (18%), energy-saving or carbon-reducing technologies (16%), BYOD (15%), and marketing technology (13%).

Also 42% of respondents said that their companies are in search of people with combined tech and business backgrounds that will allow them to increase the value of IT by having a better understanding of business and operation goals.

2. Cloud computing


Most companies are facing a challenge nowadays – which cloud computing model is the best fit for their particular company?

Right now cloud is the new standard for IT architecture, so many CIOs are not asking themselves whether to use or not to use cloud-based systems. They are asking themselves which implementation model is best for their organizations. 22% of all respondents said that their organizations are currently performing beta tests or launching programs that measure different cloud delivery methods – including private, public, and hybrid options.

3. Security


Many CIOs and tech executives state they continue to spend the most on security projects and this is at the top of their IT budgets for the third years in a row.

Half of the survey respondents said that they will increase spending on security in 2016, making security the #1 on the list of priorities for budget planning. When the survey participants were asked to choose one the most important projects that is launching right now in their companies, security came in second place just after cloud computing. And 16% of the respondents identified security as their top challenge in the upcoming year.

4. The Internet of Things

Internet of Things

The Internet of Things (IoT) is no longer a science fiction theme, but the reality for many IT organizations across the industry. IoT technologies can be used for all kinds of practical uses.

A report by Accenture showed that 69% of people will have ‘smart’ devices in their houses by 2019. According to forecasts from Cisco, the economic value of IoT will be more than $14 trillion by 2022.

In Computerworld Forecast survey almost a third part of all respondents (29%) answered that they’re going to spend more for IoT initiatives over the next year. In comparison, only 12% of those respondents last year said that they would spend a lot for IoT projects. Also the number of tech specialists who are going to launch IoT projects over the next 12 months rose from 15% last year to 21% this year.

5. Analytics


As companies increase budgets for collecting data, we will notice the same increased in spending for analyzing this data. Business analytics was #5 on the list of the survey respondents’ most important IT projects, and #3 on the list of technologies for which the budget will be increased over the next 12 months.

Analytics are also rapidly integrating in the area of machine learning, artificial intelligence, and pattern recognition. So companies are figuring out how to organize and to use this data more effectively.