Industrial IoT Adoption in the US: Top States Leading the Charge
According to a recent report, the top US states for industrial IoT adoption in 2023 are California, Texas, and Illinois, driven by major industries such as manufacturing and logistics.
According to a recent report, the top US states for industrial IoT adoption in 2023 are California, Texas, and Illinois, driven by major industries such as manufacturing and logistics.
The National Institute of Standards and Technology (NIST) has released a report highlighting the current state of industrial IoT in the US, with a focus on the leading states, including Ohio, Michigan, and Georgia.
A new market research report by MarketsandMarkets analyzes the industrial IoT market by state, identifying the top states for adoption, including New York, Florida, and North Carolina, and providing insights into the key drivers and challenges.
IoT Analytics has published a comprehensive report on industrial IoT adoption in the US, providing a state-by-state analysis of the current landscape, with a focus on the leading states, including Indiana, Tennessee, and South Carolina.
The Brookings Institution has released a report highlighting state-level initiatives and investments in industrial IoT, with a focus on the top states, including Massachusetts, Washington, and Colorado, and discussing the potential for economic growth and job creation.
CB Insights has published a report identifying the top US states for industrial IoT innovation, including California, New York, and Texas, and highlighting the key startups and companies driving adoption in these states.
This video provides an overview of industrial IoT adoption in US states, highlighting the leading states and the key drivers and challenges, and featuring expert insights from industry leaders and researchers.
The US government's data.gov platform provides access to state-level data and statistics on industrial IoT adoption, including information on the number of IoT devices, investment, and job creation, and allowing users to explore and visualize the data.