Industrial Internet Of Things (IIoT) Market Size

Industrial Internet of Things (IIoT) Market Analysis

The Industrial Internet Of Things Market size is estimated at USD 114.68 billion in 2024, and is expected to reach USD 503.07 billion by 2029, growing at a CAGR of 34.41% during the forecast period (2024-2029).

• Technologies, such as big data and machine learning (ML), are being used increasingly to harness the data generated from connected devices to improve machine-to-machine (M2M) communication and streamline workflow. Also, declining manufacturing and sensor costs in producing IoTs further drive the demand.
• Significant advantages, such as large-scale profit margins through improvements in power efficiency, attract companies to invest in the market aggressively. According to a study by Microsoft, IoT is increasingly becoming indispensable to the manufacturing industry. 87% of IoT decision-makers in the industry have adopted IoT, and the vast majority say IoT is critical to the success of their company and that they are satisfied with the technology.
• Furthermore, the utilization and demand for edge computing in Industrial IoT are rapidly increasing due to its next-generation capabilities. For instance, in the current year, SECO, an Italian high-tech company, has announced a strategic partnership with Qualcomm Technologies International, Ltd—the goal of introducing innovative edge computing products and solutions tailored for the industrial Internet of Things (IIoT). Under the agreement, SECO is appointed Qualcomm Technologies IIoT design center partner, responsible for creating specific reference designs for readily available hardware solutions, primarily targeting OEM customers.
• Market incumbents like Google, Amazon Web Services, and Microsoft aim to establish more collaborative partnerships with edge-computing companies to provide one-stop solutions to industrial users. Further, the growing number of industrial robot installations globally is expected to create considerable demand for low latency and jitter communications, significantly improving the need for IIoT solutions.
• AWS IoT TwinMeker introduces three new entity modeling features to streamline the creation, deployment, and scalability of digital twins for real-world systems: Firstly, customers can now perform metadata bulk operations, including import, export, and update, facilitating the seamless migration of equipment models and metadata for external sources or different AWS accounts. This simplifies the creation of entity models at scale. Secondly, AWS IoT TwinMaker service quotas have been increased to support digital twins with higher entity and component counts. Third, introducing composite component types enhances flexibility and efficiency in constructing complex components. 
• Moreover, metadata bulk operations and composite components are accessible in AWS IoT SiteWise, ensuring a consistent modeling experience for industrial customers across all regions where AWS IoT TwinMaker is generally available, except for metadata bulk operations, which are inaccessible in AWS GovCloud. Such developments were expected to influence future and current ongoing IIoT projects as they might be deemed non-essential and either postponed or canceled for the foreseeable future.