We rank the technologies most likely to change the world by 2028
18: Syngas and Power-to-Gas
The team at Lux Research started with the simple question: "What technologies have the greatest potential to transform the world over the next decade?" From there, they applied in-house data analysis to identify and rank the 18 most transformative technologies.
We count them down here, starting with #18: Syngas and Power-to-Gas. producing fuels from CO2 to drive the energy transition
17: Neural Interfaces
Tech to read and stimulate the brain will see growing validation in 2018.
16: Sugar Reduction
Over 162,000 patents aim to combat health ills from too much sugar.
15: Polyethylene Furanoate (PEF)
Innovation has grown at an 87 percent annual rate to improve on PET.
14: Energy Distribution System Monitoring
Growing demand and renewables require tech to balance the grid.
13: Edge Computing
When milliseconds matter, analytics can be local, not in the cloud.
12: IoT Security
Patents are up 13 times as connected devices proliferate.
11: Materials Informatics
Using IT and AI to break out of slow material development cycles.
10: Wireless Charging
Here now for consumer electronics, with R&D pushing for EV uses.
Patents soar from near zero to over 23,000 in less than five years.
8: Augmented Reality (AR)
Enterprise applications are coming now, on heels of $4.4 billion in funding.
7: Synthetic Biology
A recent $275 million round for Ginkgo Bioworks highlights the potential.
6: Solid-state Batteries
Safer and better batteries, pursued by start-ups and giants like Toyota.
Harnessing the power of microbes for nutrition, agriculture, and more.
4: 5G Networks
Over 70,000 patents set the stage for 5G network launches in 2018.
3: Genome Editing
$1.2 billion in VC funding to impact industries from food to health care.
2: 3D Printing and Additive Manufacturing
Lux expects 3D printing to be a $20 billion market by 2025.
1: Machine Learning and Deep Neural Networks
The top transformative technology of the next decade, driven by a 30 percent annual increase in machine learning patents.