Consumers turn to predictive technology for a wide range of new uses
Implications - Although the traditional route for prediction technology relates to mapping and safety for transportation, we're seeing the technology permeate a number of different verticals. Everything from health to chores is being affected by predictive software, which reinforces a preference for automation.
Trend Themes
1. Predictive Technology - The rise of predictive technology is driving innovation across industries, from health to transportation.
2. Machine Learning - Machine learning algorithms are being used for predictive technology, which has the potential to revolutionize the way we conduct many different aspects of our lives.
3. Convenience Economy - An increasing number of predictive apps, including healthcare and retail, reflect a desire for streamlined processes in the convenience economy.
Industry Implications
1. Healthcare - Predictive technology is driving disruptive innovation in healthcare, enabling early detection and preventive measures.
2. Retail - The convenience economy is pushing retailers to adopt predictive technology to improve the customer experience.
3. Transportation - Predictive technology is being used in transportation for improved safety and efficiency, opening the door for further innovation.
