Market Size And Forecast: Connected Worker Solutions 2022-2028 (Global)

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Executive Summary

This report helps investors, as well as executives at firms providing hardware or software for connected worker solutions, understand the current state and size of the market, as well as the trends and drivers that will shape it into 2028. The report also considers the size of the 2022 connected worker solutions market in relation to prior forecasts. This study finds that the market was worth $1.38 billion in 2022 and will grow to $3.24 billion by 2028, at a CAGR of 15.3%. Growth will be driven by labour and skills shortages, a rising focus on worker engagement in health and safety best practices, and productivity benefits. Notable barriers are macroeconomic instability, high prices and privacy concerns.

Table of contents

The connected worker solutions market is on an upward trajectory
Market size data incorporate revenues of 96 connected worker solution providers
The connected worker solutions market was worth $1.38 billion in 2022
Labour shortages bolster demand for connected worker solutions for onboarding, retention and frontline safety
Macroeconomic uncertainty is disrupting the adoption of connected worker solutions
The connected worker solutions market will reach $3.24 billion in 2028

Table of figures

Figure 1. 2022 connected worker solutions market size by category
Figure 2. 2022 connected worker solutions market size by region
Figure 3. 2022 connected worker solutions market size by use case (hardware)
Figure 4. 2022 connected worker solutions market size by use case (software)
Figure 5. Drivers and barriers for the connected worker solutions market
Figure 6. Connected worker solutions market forecast: 2022-2028
Figure 7. Connected worker solutions market forecast by category: 2022-2028
Figure 8. Connected worker solutions market forecast by region: 2022-2028
Figure 9. Connected worker solutions market forecast by use case (hardware): 2022-2028
Figure 10. Connected worker solutions market forecast by use case (software): 2022-2028

About the authors

Henry Kirkman

Analyst
Henry is an Analyst in the Verdantix Operational Excellence practice. His current research agenda focuses on connected worker solutions, technologies for industrial asset maintenance, and the industrial applications of AI, including generative AI and computer vision. Prior to joining Verdantix, Henry completed a Masters degree in Civil Engineering at the University of Exeter.

Malavika Tohani

Research Director, Operational Excellence
Malavika leads the Verdantix Operational Excellence practice. Her current research agenda focuses on digital technologies for Operational Excellence including digital twins and software solutions for industrial risk and asset management. Malavika has over 15 years’ experience in research and strategy consulting. Malavika previously worked at Frost & Sullivan, managing and delivering advisory projects for clients involving expansion, acquisition, benchmarking and product development strategies. Malavika holds a MSc in Economics from Madras School of Economics.

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