A modern manufacturing execution system (MES) contains hardware or software components that help organize and improve production processes from the launch of orders through finished items. It functions as a control system that monitors and regulates the work in progress on the manufacturing floor. These systems aid in the real-time monitoring of all industrial data and enable the continuous receipt of new data from robots, machine monitors, and people. In addition, it may conduct timed tasks automatically as part of the routing used for workstation scheduling.
Tracking and monitoring operations in real-time are rapidly becoming crucial for corporate processes. Supply chain managers, specifically, require a system that gives them real-time insight and notifications connected with difficulties in the supply chain. Moreover, manufacturers are under immense pressure to enhance productivity and decrease costs. MESs provide real-time feedback in industrial processes to swiftly detect and fix issues for optimizing and improving goods and processes. They help track and correctly manage work-in-process (WIP) operations, boosting product quality and enhancing plant performance. Furthermore, the real-time capabilities of MES cross numerous multidisciplinary needs, including order planning and control, manufacturing data collecting (MDC), quality management, material management, and document management, thus driving market growth.
There has been an increase in Industrial Internet of Things (IIoT) technology during the past five years. It is a fundamental component of the industrial industry, impacting all sectors, from planning to delivery. Cross-communication and component interaction have increased as the volume of data in the IIoT environment has grown. As Industry 4.0 and IIoT are gradually adopted in manufacturing facilities, it is projected that the agility and interoperability of MES will rise to manage the rising business complexity. In addition, it is anticipated that the improved MES systems will be connected to various platforms and have enhanced functionalities that can manage difficult conditions on the shop floor in real-time. MES connects multiple plant floor systems, producing an integrated ecosystem for real-time information exchange and improved decision-making, providing market participants with tremendous development potential.
North America is the most significant shareholder in the global modern manufacturing execution system market and is anticipated to grow at a CAGR of 16.4% during the forecast period. It is projected that the top modern manufacturing execution system providers in the region with the largest market share would contribute to its market dominance. Compared to other major North American nations, the modern manufacturing execution system market in the United States has expanded consistently over the last decade due to the high demand from industries such as water and wastewater treatment, food and beverage, and energy. In addition, the adoption rate of low-cost automation technologies in the United States and Canada is exceptionally high due to government incentives and support. Due to the increasing demand for real-time data tracking, more significant data visibility, and off-site production activity monitoring, the market for modern manufacturing execution systems in North America is rising rapidly.
Asia-Pacific is anticipated to grow at a CAGR of 14.7% over the forecast period. The need for sophisticated factory execution systems in Asia-Pacific is driven by government efforts supporting industrial automation. The region's factories invest extensively in R&D for industrial automation, the Industrial Internet of Things (IIoT), and cloud computing. These industrial businesses increasingly adopt modern manufacturing execution systems. In addition, regular events and conferences in the area, such as the International Robot Exhibition (iREX) and System Control Fair (SCF), provide unique insights into the perspectives of critical Asia-Pacific nations on Industry 4.0 and the industrial Internet of Things (IIoT).