Gartner releases 2016 Hype Cycle for emerging technologies
Report gathers insights from more than 2,000 technologies and trends
Gartner’s Hype Cycle for Emerging Technologies 2016 is out, revealing the three distinct technology trends poised to be of the highest priority for organisations facing rapidly accelerating digital business innovation.
Transparently immersive experiences, the perceptual smart machine age, and the platform revolution are the three overarching technology trends that creating new experiences with intelligence and offer platforms that allow organisations to connect with new business ecosystems.
The Hype Cycle for Emerging Technologies report is the longest-running annual Gartner Hype Cycle, providing a cross-industry perspective on the technologies and trends that business strategists, chief innovation officers, R&D leaders, entrepreneurs, global market developers and emerging-technology teams should consider in developing emerging-technology portfolios.
"The Hype Cycle for Emerging Technologies is unique among most Hype Cycles because it distils insights from more than 2,000 technologies into a succinct set of must-know emerging technologies and trends that will have the single greatest impact on an organisation's strategic planning," said Mike J. Walker, research director at Gartner. "This Hype Cycle specifically focuses on the set of technologies that is showing promise in delivering a high degree of competitive advantage over the next five to 10 years.”
"To thrive in the digital economy, enterprise architects must continue to work with their CIOs and business leaders to proactively discover emerging technologies that will enable transformational business models for competitive advantage, maximize value through reduction of operating costs, and overcome legal and regulatory hurdles," said Mr. Walker. "This Hype Cycle provides a high-level view of important emerging trends that organizations must track, as well as the specific technologies that must be monitored."
Key technology trends
Transparently immersive experiences: Technology will continue to become more human-centric to the point where it will introduce transparency between people, businesses and things. This relationship will become much more entwined as the evolution of technology becomes more adaptive, contextual and fluid within the workplace, at home, and interacting with businesses and other people.
Critical technologies to be considered include 4D Printing, Brain-Computer Interface, Human Augmentation, Volumetric Displays, Affective Computing, Connected Home, Nanotube Electronics, Augmented Reality, Virtual Reality and Gesture Control Devices.
The perceptual smart machine age: Smart machine technologies will be the most disruptive class of technologies over the next 10 years due to radical computational power, near-endless amounts of data, and unprecedented advances in deep neural networks that will allow organizations with smart machine technologies to harness data in order to adapt to new situations and solve problems that no one has encountered previously. Enterprises that are seeking leverage in this theme should consider the following technologies: Smart Dust, Machine Learning, Virtual Personal Assistants, Cognitive Expert Advisors, Smart Data Discovery, Smart Workspace, Conversational User Interfaces, Smart Robots, Commercial UAVs (Drones), Autonomous Vehicles, Natural-Language Question Answering, Personal Analytics, Enterprise Taxonomy and Ontology Management, Data Broker PaaS (dbrPaaS), and Context Brokering.
The platform revolution: Emerging technologies are revolutionizing the concepts of how platforms are defined and used. The shift from technical infrastructure to ecosystem-enabling platforms is laying the foundations for entirely new business models that are forming the bridge between humans and technology. Within these dynamic ecosystems, organizations must proactively understand and redefine their strategy to create platform-based business models, and to exploit internal and external algorithms in order to generate value. Key platform-enabling technologies to track include Neuromorphic Hardware, Quantum Computing, Blockchain, IoT Platform, Software-Defined Security and Software-Defined Anything (SDx).
"These trends illustrate that the more organizations are able to make technology an integral part of their employees', partners' and customers' experience, the more they will be able to connect their ecosystems to platforms in new and dynamic ways," said Walker. "Also, as smart machine technologies continue to evolve, they will become part of the human experience and the digital business ecosystem."