The "IoT Use Case Adoption Report 2024" is part of IoT Analytics' ongoing coverage of the IoT in general . The information presented in this report is based on an extensive survey of IoT end-users in manufacturing, healthcare, retail, and other industries. The purpose is to inform other market participants about the current state of adoption of IoT use cases across companies.
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How IoT use cases have evolved since 2021
IoT initiatives are even more successful, but payback takes time. Currently a majority of IoT projects have a positive ROI, a 13-percentage point increase compared to 2021. However, the share of projects that amortize in 2 years have declined.
SAMPLE VIEW
APAC is steadily ahead; North America is catching up. In 2024, APAC companies are still at ~11 use cases rolled out on average (+0.9 increase since 2021). North America and Europe have each rolled out ~10 use cases (+3.5 and +1.7 since 2021, respectively).
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This report includes 27 IoT use cases across smart operations, smart supply chain, and connected products
- Process automation. Integrating IoT to automate routine processes, enhancing productivity and accuracy.
- Quality control & management. Integrating IoT (e.g., machine vision) to enhance quality processes.
- Energy monitoring. Integrating IoT to monitor energy consumption for individual assets.
- Operations planning and scheduling. Leveraging IoT for real-time scheduling and planning to improve operational efficiency.
- Asset performance optimization. Utilizing IoT to enhance operational efficiency and effectiveness of assets.
- Remote asset monitoring. Utilizing IoT to monitor assets remotely in a read-only format for performance tracking.
- Condition-based maintenance/monitoring. Utilizing IoT to perform maintenance based on the condition of equipment.
- Plant/worker safety. Leveraging IoT (e.g., smart cameras) to enhance safety measures within a plant and for workers.
- Emissions/waste tracking. Integrating IoT to monitor emissions or waste of operations.
- Remote asset control. Employing IoT for remote control of assets (e.g., remote trouble shooting).
- Work condition monitoring. Employing IoT for monitoring environmental conditions of workers (e.g., temperature, humidity, air quality) to ensure worker health.
- Predictive maintenance. Employing IoT to predict when maintenance is required to prevent downtime.
- Augmented services/maintenance. Using augmented reality (AR) to improve field service and maintenance.
- Augmented operations. Using augmented reality (AR) to improve operations.
- Real-time inventory management. Utilizing IoT for tracking inventory levels in real-time to optimize stock and reduce shortages or excesses.
- Supply chain track & trace. Employing IoT for monitoring the location, condition and/or status of products and materials along the supply chain.
- On-site facility track & trace. Employing IoT for real-time tracking and tracing of assets on a site (e.g., in a factory or warehouse).
- Location tracking (e.g., GPS). Employing IoT for real-time location tracking of products/assets/devices.
- Sustainability and energy efficiency. Employing IoT to monitor and control energy usage of products, promoting sustainability and cost savings for users.
- Condition/health monitoring. Utilizing IoT for monitoring the condition, status or health of products/assets/devices.
- IoT-data based product usage optimization. Leveraging IoT data for optimizing product usage and offering suggestions to customers.
- Predictive maintenance. Employing IoT to predict and perform maintenance on products/assets/devices.
- Remote asset control. Employing IoT for remote control of products (e.g., remote troubleshooting).
- Product engineering. Using actual IoT product usage data from customers to enhance future products.
- Selling assets/products "as-a-service". Utilizing IoT to offer products or assets as a service.
- Over-the-air firmware updates (FOTA). Leveraging IoT for remote firmware updates.
- Over-the-air software updates (SOTA). Employing IoT for remote software updates.
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Analyses in the report includes:
- IoT use case adoption (by region, by industry, by use case group)
- Detailed breakdown of IoT use case spending (upfront, recurring, hardware, software, services)
- Return on investment (by region, by industry, amortization by use case)
- Use case investment priorities (by region, by industry, change by use case)
- Impact of IoT implementation on company KPIs (e.g., Overall equipment efficiency, revenue, quality)
- Challenges faced when implementing IoT use cases
- Methods of ensuring a skilled workforce
- Impact of IoT strategy on company's sustainability goals
- Key vendors for IoT use cases and vendor satisfaction with deep dives on strengths and weaknesses of most used vendors and most used vendors by tech stack
- Detailed case studies for every use case
- Deep dives for each of the 27 use cases (adoption, spending, ROI, planned investment, impact on company KPIs)
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Questions answered:
- What are the most adopted IoT use cases (out of a list of 27)?
- Which IoT use cases have the highest return on investment (ROI)?
- Which KPIs are most important for a company's IoT strategy, and how are the KPIs affected by implementing IoT use cases?
- How much do companies spend on hardware, software, and services for individual IoT use cases?
- Which IoT use cases do companies plan to invest in the most in 2024?
- Who are the leading vendors for IoT use cases, how satisfied are end users, and what are the strengths and weaknesses of the top vendors?
- What challenges do IoT end users face when implementing use cases?
- How do companies ensure their workforce has the necessary IoT skills?
- How much are companies' IoT strategies impacting their sustainability goals?
Companies mentioned:
A selection of companies mentioned in the report.
- ABB
- AT&T
- AWS
- Accenture
- BCG
- Bosch
- Cisco
- Dell
- Google
- Honeywell
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- IBM
- Microsoft
- Oracle
- Palo Alto Networks
- Rockwell Automation
- SAP
- Salesforce
- Schneider Electric
- Siemens
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