GITNUX MARKETDATA REPORT 2023

Automation In Manufacturing Statistics [Fresh Research]

Facts about this Market Data Report

IconJournalist involved: 2
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Highlights: The Most Important Automation In Manufacturing Statistics

  • Robotics and automation will attract $13 billion in investment over the next decade.
  • Automation related to Industry 4.0 is expected to account for $267 billion in 2025.
  • By 2025, 50% of manufacturing tasks will be automated.
  • Manufacturing plants using industrial IoT automation have a 15% advantage in overall production output.
  • 61% of manufacturing industries indicate finding skilled labor as a top challenge, leading to an increased reliance on automation.
  • 265,000 positions in US manufacturing are expected to be filled with automated technology by 2025.
  • By 2024, the global market for industrial automation products is expected to reach $178.10 billion.
  • Robotics and Discrete Manufacturing will reach 48% of the manufacturing industry by 2025.
  • By 2025, automation could lead to a 20% reduction in labor costs.
  • 14 million robots are expected to be installed in manufacturing industries by 2030.
  • The global manufacturing automation market was valued at $306.57 billion in 2018 and aims to reach $514.37 billion by 2027.
  • Investments in AI and automation could boost manufacturing revenue by 10% by 2023.
  • 75% of manufacturing jobs that could be automated have not yet been automated, representing possible future growth.
  • In 2016, there were 72 robot units per 10,000 workers in the manufacturing sector on average.
  • Companies that adopt AI in manufacturing can expect an 11% rate of return on investment on average.
  • In 2021, the global industrial automation market saw a 6.3% growth driven by ongoing digitization and technological advancements.

Table of Contents

The manufacturing industry is rapidly evolving with the introduction of automation and robotics. As technology advances, so does the potential for increased efficiency in production processes. This blog post will explore some key statistics related to automation in manufacturing that demonstrate its growing importance across global markets.

From investments to labor costs, these figures provide insight into how manufacturers are leveraging automated technologies to stay competitive and maximize their output.

The Most Important Statistics
Robotics and automation will attract $13 billion in investment over the next decade. This statistic is a testament to the immense potential of robotics and automation in the manufacturing industry. It highlights the fact that investors are recognizing the value of automation and are willing to put their money into it. This is a clear indication that automation is here to stay and will continue to revolutionize the manufacturing industry in the years to come. Automation related to Industry 4.0 is expected to account for $267 billion in 2025. This statistic is a powerful indicator of the potential of automation in the manufacturing industry. It shows that automation is expected to have a significant impact on the industry in the near future, with a projected increase in revenue of over $267 billion by 2025. This statistic is a clear sign that automation is becoming increasingly important in the manufacturing industry, and it is essential for businesses to understand the potential of automation and how it can be used to improve their operations.

Automation In Manufacturing Statistics Overview

By 2025, 50% of manufacturing tasks will be automated.

This statistic is a powerful indicator of the future of manufacturing, as it suggests that automation will play a major role in the industry in the coming years. It is a reminder that automation is no longer a distant concept, but a reality that is quickly becoming a part of the manufacturing process. This statistic is a call to action for manufacturers to begin preparing for the future and to start investing in automation technologies.

Manufacturing plants using industrial IoT automation have a 15% advantage in overall production output.

This statistic is a powerful indicator of the potential of industrial IoT automation in manufacturing. It demonstrates that by implementing automation, production output can be increased by 15%, providing a significant competitive advantage. This statistic is an important reminder of the potential of automation in manufacturing and the need to stay ahead of the curve.

61% of manufacturing industries indicate finding skilled labor as a top challenge, leading to an increased reliance on automation.

This statistic is a telling sign of the times, highlighting the difficulty of finding skilled labor in the manufacturing industry and the subsequent need to rely on automation. It speaks to the current state of the industry and the growing importance of automation in order to remain competitive.

265,000 positions in US manufacturing are expected to be filled with automated technology by 2025.

This statistic is a stark reminder of the rapid advancement of automation in the manufacturing industry. It highlights the fact that in the next five years, a significant portion of the US manufacturing workforce will be replaced by automated technology. This is a major shift in the way manufacturing is done and has the potential to drastically alter the job market. It is a statistic that should not be overlooked, as it has the potential to have a major impact on the economy and the lives of those affected.

By 2024, the global market for industrial automation products is expected to reach $178.10 billion.

This statistic is a testament to the growing importance of automation in manufacturing. It shows that the demand for industrial automation products is increasing, and that manufacturers are investing more and more in automation technology. This is a clear indication that automation is becoming an integral part of the manufacturing process, and that it is here to stay.

Robotics and Discrete Manufacturing will reach 48% of the manufacturing industry by 2025.

This statistic is a powerful indicator of the potential of automation in manufacturing. By 2025, robotics and discrete manufacturing will have a significant impact on the manufacturing industry, representing nearly half of the total industry. This shows that automation is becoming increasingly important in the manufacturing sector, and that businesses should be prepared to take advantage of the opportunities that automation can bring.

By 2025, automation could lead to a 20% reduction in labor costs.

This statistic is a powerful indicator of the potential of automation in manufacturing. It suggests that automation could lead to a significant reduction in labor costs, which could have a major impact on the industry. This could mean increased efficiency, improved productivity, and cost savings for businesses. It could also mean more jobs for those who are displaced by automation, as well as new opportunities for those who are able to take advantage of the new technology. This statistic is an important reminder of the potential of automation in manufacturing and its potential to revolutionize the industry.

14 million robots are expected to be installed in manufacturing industries by 2030.

This statistic is a powerful indicator of the rapid growth of automation in manufacturing industries. By 2030, the number of robots installed in manufacturing industries is projected to skyrocket to 14 million, signifying a major shift in the way production is handled. This statistic is a clear indication that automation is becoming increasingly prevalent in the manufacturing sector, and it is important to understand the implications of this trend.

The global manufacturing automation market was valued at $306.57 billion in 2018 and aims to reach $514.37 billion by 2027.

This statistic is a powerful indicator of the potential of automation in manufacturing. It shows that the market for automation in manufacturing is growing rapidly, and is projected to reach nearly double its current size in the next decade. This is a clear sign that automation is becoming increasingly important in the manufacturing industry, and that businesses should be taking advantage of the opportunities it presents.

Investments in AI and automation could boost manufacturing revenue by 10% by 2023.

This statistic is a powerful indicator of the potential of automation and AI in manufacturing. It suggests that, with the right investments, manufacturers could see a significant increase in revenue over the next few years. This is an important statistic to consider when discussing the impact of automation in manufacturing, as it highlights the potential for increased profitability and efficiency.

75% of manufacturing jobs that could be automated have not yet been automated, representing possible future growth.

This statistic is a powerful indicator of the potential for growth in the manufacturing industry. It suggests that there is still a great deal of untapped potential in the automation of manufacturing jobs, and that the industry is far from reaching its full potential. This could be a great opportunity for businesses to capitalize on, as they could potentially increase their efficiency and productivity by taking advantage of the automation of these jobs. Additionally, this statistic could be used to inform policy decisions, as it could be used to demonstrate the potential for growth in the manufacturing industry.

In 2016, there were 72 robot units per 10,000 workers in the manufacturing sector on average.

This statistic is a powerful indicator of the increasing prevalence of automation in the manufacturing sector. It demonstrates that robots are becoming an increasingly important part of the manufacturing process, and that the industry is relying more and more on automated processes to increase efficiency and productivity. This statistic is a valuable insight into the current state of automation in the manufacturing sector, and provides a useful benchmark for measuring the progress of automation in the future.

Companies that adopt AI in manufacturing can expect an 11% rate of return on investment on average.

This statistic is a powerful indicator of the potential benefits of investing in AI for manufacturing. It demonstrates that companies who take the plunge and adopt AI can expect to see a significant return on their investment, making it a compelling option for businesses looking to increase their efficiency and profitability. As such, this statistic is an important one to consider when discussing the potential of automation in manufacturing.

In 2021, the global industrial automation market saw a 6.3% growth driven by ongoing digitization and technological advancements.

This statistic is a testament to the power of automation in manufacturing, demonstrating the impressive growth of the global industrial automation market in 2021. It highlights the impact of digitization and technological advancements on the industry, showing how automation is revolutionizing the manufacturing sector. This statistic is an important reminder of the potential of automation in manufacturing and its ability to drive growth and efficiency.

Conclusion

The statistics presented in this blog post demonstrate the increasing importance of automation and robotics in manufacturing. Investments are expected to reach $13 billion over the next decade, while industrial IoT automation is projected to account for $267 billion by 2025. By 2024, global market for industrial automation products is estimated at $178.10 billion with 14 million robots installed across industries by 2030.

Companies that adopt AI can expect an 11% rate of return on investment on average and 60% of manufacturers plan to implement collaborative robots (cobots) into their facilities by 2030 as well. The data also shows a heavy reliance on automated technology due to difficulty finding skilled labor and cost reduction benefits associated with it; 75% of jobs that could be automated have not yet been automated representing potential future growth opportunities within the industry as well.

References

0. - https://www.mckinsey.com

1. - https://www.researchandmarkets.com

2. - https://www.fanucamerica.com

3. - https://www.reportlinker.com

4. - https://www.iiconsortium.org

5. - https://www.globenewswire.com

6. - https://www.themanufacturinginstitute.org

7. - https://www.idc.com

8. - https://www..deloitte.com

9. - https://www.capgemini.com

10. - https://www.ifr.org

11. - https://www.businesswire.com

12. - https://www.fortune.com

Srive - Automation In Manufacturing Statistics

Frequently Asked Questions

Automation in manufacturing refers to the use of computer-controlled machines, systems, and processes to optimize the production of goods, reduce labor requirements, improve safety, and increase efficiency and cost-effectiveness.
Automation in manufacturing increases productivity by streamlining production processes, reducing human errors, and enabling 24/7 operations with less downtime. Additionally, automated systems can operate at higher speeds and precision than human workers, further enhancing output levels.
Common types of automation in manufacturing include robotic arms for assembly, material handling, and welding; automated guided vehicles for transporting materials; CNC machines for precise cutting and shaping of components; and AI-powered computer systems for quality control and predictive maintenance.
Automation can lead to a reduction in certain low-skilled labor positions as tasks are performed by machines, but it also can create higher skilled or technical job opportunities related to implementing, maintaining, and managing these automated systems. Furthermore, automation can also drive down production costs, enabling companies to invest in expanding their operations and potentially generating new job opportunities.
Drawbacks of automation in manufacturing include the initial high costs of implementing automated systems, potential negative effects on low-skilled job availability, increased dependence on technology and associated vulnerability to system failures or hacking, and ethical concerns regarding worker displacement and income inequality.
How we write these articles

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly. See our Editorial Guidelines.

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