IDC 2020 predictions for the Internet of Things (IoT):
In 2020, 90% of organizations will have determined key performance indicators to measure the success of their IoT projects.
By 2021, 75% of organizations embarking on an IoT project will work with a systems integrator to strategize, plan, deploy, and/or manage the initiative.
By 2022, 70% of new enterprise IoT applications built on IoT platforms will leverage container deployment.
By 2023, 70% of enterprises will run varying levels of data processing at the IoT edge. In tandem, organizations will spend over $16 billion on IoT edge infrastructure in that time.
By 2023, 20% of cybersecurity incidents will stem from Smart City IoT device deployments, forcing double-digit increases in cybersecurity software and staff training budgets.
To lessen critical equipment failures, by 2024, 40% of manufacturers will use field asset IoT data to intelligently diagnose issues and resolve autonomously, improving unplanned downtime by 25%.
By 2023, 70% of IoT deployment will include AI solutions for autonomous or edge decision making, supporting organizations’ operational and strategic agendas.
By 2025, there will be 79ZB of data created by billions of IoT devices, causing organizations to reevaluate their data governance, retention, and usage policies.
By 2025, 60% of manufacturers will use IoT platforms with digital innovation platforms to operate networks of asset, product, and process digital twins for a 25% reduction in cost of quality.
By 2023, enterprises will struggle to manage all the different access types used to connect their IoT endpoints, with 75% adopting more than one connectivity type.
The focus for IDC’s 10 predictions for next year and beyond is the rise of the digital economy. By 2023, IDC predicts, over half (52%) of global GDP will be accounted for by digitally transformed enterprises. This digital tipping point heralds the emergence of a new enterprise species, the digital-first enterprise.
Recent surveys, studies, forecasts and other quantitative assessments of the progress of AI highlighted the rapidly increasing expectations regarding the business benefits of AI and the low incidence of business gains so far; the increasing adoption of AI by businesses worldwide and the challenges in its implementation and integration with exiting processes; and how companies respond to AI by both reducing and training their workforce.
