PUBLISHER: Grand View Research | PRODUCT CODE: 1888918
PUBLISHER: Grand View Research | PRODUCT CODE: 1888918
The global smart manufacturing market size was valued at USD 349.81 billion in 2024 and is projected to reach USD 790.91 billion by 2030, growing at a CAGR of 14.0% from 2025 to 2030. This market expansion is driven by the widespread adoption of Industry 4.0 technologies, including IoT, AI, machine learning, and cloud computing, and the growing demand for automation & cost efficiency.
Governments worldwide are promoting smart manufacturing through initiatives focusing on research in technologies such as digital twins and machine condition monitoring. Smart manufacturing market growth is driven by the convergence of edge computing, low-power microelectronics, and AI-based analytics that enhance device intelligence beyond basic automation. This advancement enables adaptive learning, predictive maintenance, and hyper-personalized interactions, raising user expectations for seamless experience and autonomy. The integration of generative AI technologies further accelerates this transformation, turning traditional manufacturing devices into interactive digital companions that understand and anticipate operational needs. These ecosystems are becoming increasingly context-aware, responsive, and embedded across production environments, facilitating enhanced productivity, cost efficiency, and quality control.
The growing demand for seamless, always-on connectivity among industrial devices is significantly fueling the growth of the Smart Manufacturing market. Connectivity platforms supporting real-time data exchange, such as IoT sensors, smart machinery, and industrial control systems, enable devices to communicate, coordinate, and adapt to operational conditions. This ecosystem of interconnected devices helps manufacturers achieve automation, predictive maintenance, and unified process control, thereby accelerating adoption in manufacturing environments.
Additionally, rising enterprise expectations for operational efficiency, automation, and context-aware decision-making are key growth drivers. As industries demand systems that anticipate equipment needs, optimize workflows, and manage energy usage, manufacturers embed advanced sensors, AI, and connectivity into production lines. The need for smooth interoperability across equipment and software platforms pushes companies to invest in robust industrial connectivity infrastructure, edge computing capabilities, and collaborative ecosystem partnerships.
Moreover, evolving regulatory mandates and cybersecurity standards are pushing stronger adoption within the smart manufacturing industry. Government bodies require that manufacturing systems support data protection, secure firmware updates, and transparency in processing data. Platforms enabling automated alerts, anomaly detection, and secure provisioning help manufacturers comply with regulations, reducing operational risk and building trust in connected industrial ecosystems.
Furthermore, the proliferation of Industry 4.0 technologies, digital twins, and ambient intelligence is generating strong demand for integrated smart manufacturing solutions. Devices and systems become part of a unified digital ecosystem, allowing manufacturers to benefit from predictive analytics, cross-system control, and enhanced process optimization. These capabilities promote loyalty in the smart manufacturing market, as integrated solutions deliver greater value than standalone technologies.
Global Smart Manufacturing Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest technological trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the smart manufacturing market report based on component, technology, end use, and region: