Robot automation

Summary of the Top 5 Automation Trends in Manufacturing in 2023

 

The impact of the pandemic and global skills shortages are continuing to drive investment in industrial automation in 2023. This will not only supplement the current workforce but also open up new possibilities. new business skills and understanding.

Automation trend, since the first industrial revolution, has been an important driver of progress, and the rise of robotics and artificial intelligence has magnified this impact. Market industrial automation globally has reached 196.6 billion USD in 2021 and is expected to surpass 412.8 billion USD in 2030, according to Precedence Research’s forecast.

Automation was reshaping work long before the pandemic; now, it is becoming more important in the context of business risk and resilience. As we emerge from the crisis, companies will look to automation as a way to mitigate the risks that future crises could pose to labor supply and productivity. They will invest more in cognitive capabilities and applications of artificial intelligence, industrial robots, service robots and robotic process automation.”

Initially, automation focused on increasing output and reducing labor costs. However, the top 5 automation trends for 2023 point towards an increased focus on intelligent automation, delivering more business benefits.

IT Automation

  • IT Automation Use the guide to replace the manual work of IT professionals in data center and cloud deployments.
automation trend
IT Automation
  • Software tools, frameworks, and devices automate task execution with minimal administrator intervention.
  • The scope ranges from single actions to chains and autonomous IT deployments based on user behavior and event triggers.

Top 5 Automation Trends For 2023

2.1 Artificial intelligence

– Apply artificial intelligence in manufacturing, from smart production automation to warehouse and distribution management.

See also  4 predictions for 2024: AI set to enhance automation
automation trend
Artificial intelligence

– The three main use cases are smart maintenance, product quality control, and demand planning.

2.2 Collaborative robots

– Designed to work safely with humans and quickly adapt to new tasks.

01yokota corporationprogramming a collaborative robot from universal robots JRRS 1
Collaborative robots

– It is expected that the robot market will increase from 1.2 billion USD in 2021 to 10.5 billion USD in 2027.

2.3 Automating processes using robots

– Extend automation into the back office.

RPA (Robot Process Automation) allows manual tasks to be automated, reducing repetitive work.

automation trend
Automate processes with robots

2.4 Autonomous mobile robots

– Autonomous mobile robots improve automation in the logistics sector.

– The market is expected to reach 12.4 billion USD by 2030.

automation trend
Autonomous mobile robot

2.5 Predictive maintenance

– Artificial intelligence takes predictive maintenance to a new level.

– Optimize maintenance schedules, identify errors and predict problems before they cause downtime or damage.

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