Here are the 20 major technological trends that will shape the next decade.
- Machine learning and artificial intelligence (AI): Machines’ rising ability to learn and act intelligently will fundamentally alter our environment.
- Internet of Things (IoT): This refers to the ever-increasing number of internet-connected “smart” devices and items. These devices are continually collecting and transferring data, fueling the expansion of Big Data and AI even more.
- Augmented people and wearables: What began with fitness trackers has grown into a burgeoning industry of wearable technology aimed at enhancing human performance and assisting us in living healthier, safer, and more efficient lives.
- Big data and augmented analytics: The exponential growth in the amount of data created in our environment is referred to as Big Data. We can now make sense of and operate with immensely complicated and varied data streams thanks to augmented analytics.
- Intelligent environments and locations: Physical environments are becoming increasingly connected and smart due to this trend, which is closely linked to the Internet of Things.
- Distributed ledgers and blockchains: This ultra-secure way of storing, verifying, and preserving data can change many parts of the business, particularly the facilitation of trustworthy transactions.
- Cloud and edge computing: Cloud computing, in which data is kept on other computers and accessed over the internet, has made data and analytics more accessible to the public. Edge computing will take this to the next level.
- Digitally extended realities: This trend, which includes virtual reality, augmented reality, and mixed reality, emphasizes the shift toward more immersive digital experiences.
- Digital twins: A digital twin is a virtual representation of a physical thing, process, or ecosystem. This cutting-edge technology allows us to experiment with changes and adjustments that would be too costly or dangerous to test out on a physical thing.
- Natural language processing: This technology, which allows machines to understand human language, has significantly impacted how humans engage with machines, spawning, etc.
- Voice interfaces and chatbots: Many of us are now accustomed to communicating with robots by just speaking or typing our requests. More firms will use voice interfaces and chatbots to connect with their customers in the future.
- Facial recognition and computer vision: Face recognition is one example of how technology helps machines to visually perceive the world around them. Although the use of facial recognition will undoubtedly be subjected to tighter governmental oversight, the technology isn’t going away.
- Cobots and robots: Robots are more sophisticated than ever before, learning to respond to their surroundings and complete jobs without the need for human involvement. The future of employment in some areas is anticipated to entail people collaborating with robot colleagues – hence the term “cobot” or “collaborative robot.”
- Self-driving cars: Autonomous vehicles of all types will become totally autonomous and commercially viable in the 2020s.
- Gene editing and genomics: Computing and analytics advancements have accelerated our understanding of the human genome.
- Augmented design and machine co-creation: Machines can now accomplish various tasks, thanks to artificial intelligence (AI). We can expect more collaboration between humans and machines in the creative and design processes.
- Unmanned aerial vehicles (UAVs) and drones: Drone technology will alter search and rescue missions, firefighting, law enforcement, and transportation, to name a few applications.
- Quantum computing: Quantum computers, which are impossibly fast computers capable of solving seemingly insoluble problems, will render our existing state-of-the-art technology obsolete.
- Automated robotic processes: This technology automates organized and repetitive corporate operations, allowing human workers to focus on more complicated, value-adding tasks. This is part of a larger automation trend that will affect every business.
- Micro-moments and mass personalization: The ability to deliver highly individualized products or services on a large scale is known as mass-personalization. Meanwhile, “micro-moments” refers to responding to consumer needs at precisely the appropriate time. Artificial intelligence, Big Data, and analytics have made both conceivable.