Supervisory Control and Data Acquisition Market Trends

Growth Drivers

• Growing construction industry - It is anticipated that the building industry will increase significantly, driven by increasing infrastructure requirements, which is likely to boost the adoption of SCADA technologies that are widely used in the industry to enhance operations, save expenses, and improve service.
  
  For instance, the global production of construction increased by around 1% in 2023.

• Rapid adoption of Industry 4.0 - Supervisory control and data acquisition is essential to Industry 4.0 because it make it possible to monitor and control industrial processes in real-time, and performs increased intelligence, automation, and self-learning.
  
  According to a survey, globally more than 90% of industrial organizations are trying to embrace Industry 4.0 by investing in digitization.
• Increasing adoption of cloud-based services - Cloud computing services are being used by SCADA (supervisory control and data acquisition) systems, which store, manage, and analyze data instead of depending on local servers or computers, which is a very new and emerging cloud computing use.
  
  Globally, more than 45% of companies kept their most crucial data on cloud storage in 2023.

Challenges

• Involvement of significant costs - SCADA systems are not inexpensive they have substantial associated costs since the implementations typically require multiple units of specialized hardware, bespoke software, and the training of human operators for daily use.
  
  It can be challenging and sophisticated to use SCADA systems, thus operators must have specialized knowledge, which can be costly to learn.
  
  For SCADA systems to continue being dependable and functional, continuous maintenance is necessary, which may include certain expenditures that might vary, depending on its size and complexity.

• Data privacy and security concerns - Cyberattacks can affect SCADA systems as the system is connected to networks like LAN, WAN, or the internet, which could lead to unwelcome control or manipulation of industrial processes.