Industry Controls and Factory Automation Market By Solutions Information Report: Information by Component (Industrial Robots, Machine Vision, Control Valves, HMI, Industrial PC, Industrial 3D Printing) Solution (SCADA, PLC, DCS, PAM, PLM, MES) Industry and by Region - Global Forecast to 2023
controls and factory automation system comprises of control systems, networks, and other industrial automation components that control physical assets and many processes. Control systems are an integral part of many major industries including electric power, oil & gas, water & wastewater, manufacturing, agriculture, transportation, and chemical factories. This system includes several types of control systems used for variety of purposes, namely, supervisory control and data acquisition (SCADA), distributed control systems (DCS), programmable logic controllers (PLC), remote terminal units (RTU), intelligent electronic devices (IEDs), and other field devices.
Rising adoption of industrial robots in manufacturing sector driven by collaborative robots, increasing government initiatives toward the adoption of industrial automation in different industries, increasing use of enabling technologies in manufacturing sector, connected enterprise along with the mass production to cater to rising population, and focus on industrial automation as well as optimum utilization of resources are some of the major key drivers driving the Industry Controls and Factory Automation s market. Asia-Pacific region is actively participating in upgrade of its industries through implementation of industrial automation within the manufacturing facilities. Moreover, China, over the last decades has become a global manufacturing hub, with many multinational companies setting up high volume production facilities in the country. Countries such as Taiwan, Thailand, and Indonesia have a great scope for industrial controls and factory automation as these countries are witnessing significant industrialization. Moreover, in these countries, along with the growing manufacturing facilities, competition among manufacturers is also growing. China and India are the fastest growing economies in Asia-Pacific, and the manufacturing industry is expected to grow substantially during the forecast period. Moreover, the industries in these countries have witnessed some evolutionary changes in the past few decades in the region in terms of its application in manufacturing plants, transport industry, and other critical infrastructural application areas, driving the market for industrial control and factory automation market in the region.
Industrial controls and factory automation market has been segmented on the basis of component, solution, industry, and region. Based on end-use, the market is classified into process industry including (chemicals, Oil & Gas, Paper & Pulp, Pharmaceuticals, Mining & Metals, Food & Beverage, Power, and Others) and discrete industry including (Automotive, Machine Manufacturing, Semiconductor & Electronics, Aerospace & Defense, Medical Devices, others). The mining and metals industry is expected to dominate the industry controls and factory automation market due to its relation to the extraction of mineral and metal reserves and fabrication of metals. Moreover, the metal industry has been offering metal working processes such as grinding, spinning, and forging. The industry control and factory automation market has been driven by the adoption of automation in the metals & mining industry as it provides better productivity, minimizes wear, enhances reliability, and improves quality of the operations.
Table Of Contents:
1 Executive Summary
2 Scope Of The Report
2.1 Market Definition
2.2 Scope Of The Study
2.2.2 Research Objective
2.3 Research Process
2.3.1 Primary Research
2.3.2 Secondary Research
2.4 Market Size Estimation
2.5 Forecast Model
3 Market Landscape
3.1 Porter’s Five Forces Analysis
3.1.1 Threat Of New Entrants
3.1.2 Bargaining Power Of Buyers
3.1.3 Threat Of Substitutes
3.1.4 Segment Rivalry
3.1.5 Bargaining Power Of Buyers
3.2 Value Chain/Supply Chain Analysis
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