Disruptive technologies introduce cheaper and better ways of doing things, bucking the trend that has come before and sending researchers researching and investors investing.
This year we've seen an influx of technologies hit the mainstream that have been disruptive, from home automation devices to digital currency finding a foothold in the market. Here are ten disruptive technologies for 2014.
With the launch of Android Wear, Google's very own smartwatch-dedicated operating system, smartwatches seem to have finally hit the mainstream. The LG G Watch and Moto 360 were the first Android Wear devices announced, and will beat Apple's rumoured iWatch to the market.
Health and medical smartbands are also set to revolutionise the healthcare sector, monitoring patient status 24/7 opening up many doors for hospitals and carers.
Devices like Fitbit and Jawbone, and many like them, continually analyse calories burnt, steps taken, and hear rate, providing all this information to help you live a healthier lifestyle whilst providing an invaluable data mine to the manufacturers.
Microelectromechanical systems (MEMS) are basically in every smartphone released now. They include devices such as gyroscopes, accelerometers and magnetometers. These sensors are increasingly being deployed in more and more everyday household products, from t-shirts to car wheels. These sensors go hand in hand with the explosion of the Internet of Things, enabling firms to collect user data from practically any object you can place a MEM system on.
Driverless cars made a big entrance in 2014, especially with Google's effort. The steering wheel-less four-wheeler is currently being tested in the hope of bringing the technology 'into the world safely'.
The cars are equipped with multiple sensors and navigation equipment that them drive themselves, and will only have an emergency stop button for humans.
Microsoft has unveiled a new cloud-based machine learning platform called Azure ML, which enables companies to use cloud to build applications based on big data and predict future events.
Aimed at acquiring more customers in the 'hot' field of machine-learning, Azure ML had been in a trial period for about a year.
The product is designed to enable companies to launch predictive applications much more quickly than traditional development methods. It also allows customers to publish APIs and web services on top of the Azure ML platform.
Microsoft is touting the product's ability to build big data applications to predict, forecast and change future outcomes as a gamechanger.
Joseph Sirosh, Microsoft corporate VP, said, "Traditional data analysis let you predict the future. Machine learning lets you change the future."
Sirosh cites few examples such as users will be able to forecast demand, predict disease outbreaks, and even predict and prevent crime, which sounds straight out of sci-fi movie scenarios.
Apps are continuing to grow faster and faster, and are smaller and more targeted than before. In terms of mobile gaming apps, the market by 2016 for mobile gaming will be worth $28.9bn, a growth of over 38% on the 2014 figure of $20.9bn.
Mobile gaming is also kicking dedicated handheld gaming devices such as Sony's PS Vita and Ninetendo's 3DS into a sharp decline.
Software-defined anything, or rather, SDx, is the term for the growing market shift for infrastructure programmability driven by cloud computing.
Under the moniker of SDx comes software-defined networking (SDN), software-defined computing, software-defined data centres, and software-defined storage (SDS).
SDx also includes intitiatives like OpenFlow, OpenStack, the Open Compute Project and Open Rack.