State of IoT Spring 2024: Ten Emerging Trends Driving Market Growth

IoT Analytics, a leading provider of market insights and strategic business intelligence for the Internet of Things (IoT), AI, Cloud, Edge, and Industry 4.0, has released a comprehensive analysis that highlights ten emerging trends driving the growth of the IoT market. The “State of IoT – Spring 2024” report, spanning 148 pages, provides in-depth insights into market updates, trends, sentiments, investments, M&As, and expert opinions, emphasizing IoT’s significant role despite economic and geopolitical fluctuations.

Key Insights:

• IoT as a Corporate Priority: IoT continues to be a top-three corporate technology priority. Despite AI surpassing IoT in corporate prioritization, the integration of IoT and AI is seen as a boost for the $236 billion IoT market rather than a disruption​​.
• Robust Growth Projection: The IoT market is projected to grow at an annual rate of 17% through 2030, fueled by increased connected assets and investments in AI and cybersecurity​​.

Top 10 Emerging Trends in IoT:

1. Embedded Chipset Security: Semiconductor companies are focusing on enhancing security at the chipset level to address growing threats. For instance, Intel’s partnership with Intrinsic ID to provide hardware-based root-of-trust solutions showcases this trend​​.
2. Intelligent Industrial Automation Hardware: AI integration in industrial automation hardware is advancing, with companies leveraging AI chipsets for real-time data analytics at the edge. Siemens’ SIMATIC IPC520A Box PC is a notable example​​.
3. Generative AI in Manufacturing: There is a surge in generative AI-based solutions in manufacturing, focusing on coding, troubleshooting, operational analytics, and generative design​​.
4. Positive Workforce Impact of Generative AI: Contrary to automation fears, generative AI is expected to boost employment and upskilling in manufacturing. Companies are likely to increase investments in AI technologies, creating new roles and enhancing productivity​​.
5. Neglecting Tech Adoption Basics: In the rush to adopt generative AI, companies risk overlooking fundamental tech adoption principles, such as setting clear goals and understanding the technology’s relevance to their needs​​.
6. Importance of Marketplaces for Tech Procurement: The rise of B2B marketplaces is transforming technology procurement, with cloud hyperscalers leading in cloud-based software spending​​.
7. Emergence of Data Fabric: Data fabric is becoming a key framework for comprehensive data integration and management, offering real-time access and consistent user interfaces across organizations​​.
8. Hyperscalers’ Edge Strategies: Cloud providers like Microsoft, Google, and AWS are adapting their strategies to focus on edge computing and Kubernetes, enhancing their positions in the IIoT market​​.
9. Investment in Industrial DataOps: Vendors are investing in DataOps solutions to improve data quality through contextualization and modeling, essential for unlocking the full potential of digital transformation​​.
10. Robotics as a Service (RaaS): Due to labor shortages, companies are increasingly adopting RaaS, paying for robots per hour or per output instead of purchasing them outright, as seen with Cheetah Chassis’ approach to welding robots​​.

Conclusion: The IoT market is poised for significant growth and transformation, driven by these emerging trends and technological advancements. Businesses must stay informed and adaptable to leverage the opportunities presented by the evolving IoT landscape. With an estimated CAGR of 17% until 2030, the potential for innovation and market expansion in the IoT sector is substantial.

For a detailed analysis, readers are encouraged to explore the full “State of IoT – Spring 2024” report.

About IoT Analytics: IoT Analytics, based in Hamburg, Germany, provides global market insights and strategic business intelligence for IoT, AI, Cloud, Edge, and Industry 4.0. Trusted by over 1000 leading companies worldwide, IoT Analytics delivers valuable research across various tech stacks, including IoT applications, platforms, software, connectivity, and hardware.