GITNUXREPORT 2025

Digital Transformation In The Automation Industry Statistics

Digital transformation drives automation growth, efficiency, safety, and industry innovation.

Jannik Lindner

Jannik Linder

Co-Founder of Gitnux, specialized in content and tech since 2016.

First published: April 29, 2025

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Key Statistics

Statistic 1

72% of automation tools in use today incorporate some form of machine learning

Statistic 2

Over 55% of automation vendors now offer AI-driven predictive maintenance solutions

Statistic 3

85% of automation firms believe that AI will be a key driver in the next decade of industry growth

Statistic 4

76% of automation projects are now leveraging AI to enhance predictive analytics

Statistic 5

83% of industrial automation companies are investing in AI for quality control and defect detection

Statistic 6

The adoption of AI-based predictive analytics in automation has led to a 40% increase in predictive maintenance accuracy

Statistic 7

54% of automation industry leaders expect AI and machine learning to dominate in the next five years, transforming core operational processes

Statistic 8

Over 85% of automation software vendors now offer embedded analytics to enable predictive insights

Statistic 9

The use of AI in automation has increased by 50% over the past two years

Statistic 10

Industries like automotive and electronics have seen a 35% reduction in production downtime due to digital automation tools

Statistic 11

Real-time data analytics in automation has improved operational efficiency by an average of 25%

Statistic 12

85% of automation projects involving big data analytics reported ROI within the first 18 months of deployment

Statistic 13

68% of industrial sectors are investing heavily in cybersecurity to protect automation systems from cyber threats

Statistic 14

54% of automation projects include edge computing to enhance processing speed and reduce latency

Statistic 15

70% of automation protocols now include sustainability metrics to promote greener manufacturing processes

Statistic 16

65% of automation companies report increased customer satisfaction due to digital solutions

Statistic 17

By 2024, over 60% of automation tasks are expected to be fully automated without human intervention

Statistic 18

Companies deploying automation with digital twins have seen a 30% reduction in product development time

Statistic 19

54% of manufacturing organizations believe digital automation will significantly reduce repair and maintenance downtime

Statistic 20

48% of industry leaders consider digital automation initiatives as growth drivers for small and medium enterprises

Statistic 21

Companies that have adopted digital automation report a 25% higher productivity rate than those that haven't

Statistic 22

Digitalization-led automation has contributed to a 15% reduction in waste in manufacturing processes

Statistic 23

77% of automation software vendors report accelerated deployment times due to digital transformation tools

Statistic 24

The use of data fusion techniques in automation has increased by 55% since 2020, enabling more comprehensive insights and control

Statistic 25

The deployment of digital control systems has resulted in a 20% increase in product quality consistency across different manufacturing locations

Statistic 26

The number of patents filed related to digital automation technologies increased by 60% between 2019 and 2023, indicating rapid innovation

Statistic 27

62% of manufacturers say that digital automation has helped them achieve their sustainability and environmental goals

Statistic 28

65% of companies believe digital transformation is critical to maintaining competitiveness in the automation industry

Statistic 29

60% of automation companies plan to increase their R&D budgets specifically for digital transformation by at least 15% next year

Statistic 30

78% of companies see digital transformation as a way to significantly improve safety in automation processes

Statistic 31

62% of manufacturing leaders believe that digital transformation will completely reshape their industry within the next 5 years

Statistic 32

46% of automation companies report that digital transformation has significantly improved their supply chain management

Statistic 33

81% of workers in automation industries feel that digital transformation has improved their work conditions

Statistic 34

Digital automation integrated with ERP systems has led to 40% faster order processing times

Statistic 35

Digital transformation initiatives have led to a 20% reduction in energy consumption in automated manufacturing plants

Statistic 36

45% of surveyed automation leaders agree that digital transformation has decreased operational costs significantly

Statistic 37

67% of automation companies report that digital transformation has improved data accuracy and decision-making capabilities

Statistic 38

83% of automation businesses invest in digital skill development for their workforce to keep pace with industry evolution

Statistic 39

52% of automation vendors now offer integrated analytics dashboards to provide real-time insights

Statistic 40

The perception of digital transformation's ROI in automation has improved, with 64% of companies now seeing significant benefits

Statistic 41

Over 70% of automation system integrators are prioritizing digital transformation in their strategic planning

Statistic 42

65% of automation projects fail without proper digital integration, highlighting the importance of digital skills

Statistic 43

Digital transformation initiatives have improved supply chain visibility for 70% of automation firms, leading to more agile operations

Statistic 44

61% of workers in automation industries are actively engaging in online learning to develop digital skills

Statistic 45

83% of investment in automation technology now includes a digital component, such as IoT or AI, highlighting the trend towards digital integration

Statistic 46

49% of OEMs report that digital automation has enabled customization and flexibility in product manufacturing

Statistic 47

63% of automation companies are actively working on digital transformation roadmaps to align with Industry 4.0 standards

Statistic 48

60% of automation-related cybersecurity incidents in 2023 were caused by vulnerabilities linked to digital transformation initiatives

Statistic 49

80% of new automation deployments include some form of digital training or simulation prior to implementation, improving success rates

Statistic 50

58% of automation projects reported improvements in energy efficiency after digital transformation, leading to cost savings

Statistic 51

The number of published research papers on digital automation in the industry has tripled from 2019 to 2023, indicating rapid academic and practical interest

Statistic 52

88% of automation industry stakeholders believe that digital transformation is necessary to support future sustainability goals

Statistic 53

69% of automation vendors report that digital transformation has accelerated adoption of new technologies and workflows

Statistic 54

82% of automation professionals consider digital literacy a critical skill for future workforce needs

Statistic 55

76% of automation companies believe that digital transformation is essential for innovation and staying competitive

Statistic 56

63% of manufacturing sectors have implemented or plan to implement digital threads to connect data across the product lifecycle, facilitating better decision-making

Statistic 57

66% of automation firms emphasize the importance of integrating digital workflows to reduce manual errors

Statistic 58

73% of companies report that digital automation solutions have enabled faster response times to market changes, providing a competitive edge

Statistic 59

45% of automation system integrators report that remote monitoring via digital platforms has reduced onsite maintenance visits by approximately 30%

Statistic 60

91% of organizations implementing digital automation report improved operational visibility, leading to better strategic decisions

Statistic 61

77% of automation firms believe that their digital transformation initiatives will lead to new business models

Statistic 62

The integration of augmented reality in automation maintenance procedures has reduced repair times by an average of 25%

Statistic 63

The global automation market is projected to reach $214 billion by 2026, growing at a CAGR of 9.8%

Statistic 64

80% of automation industry executives report increased investment in IoT-enabled automation solutions

Statistic 65

The automation industry is expected to generate over 180,000 new jobs globally by 2025 due to digital initiatives

Statistic 66

Cloud robotics adoption in automation has increased by 60% over the last three years

Statistic 67

The use of cyber-physical systems in automation has grown by 40% since 2020

Statistic 68

The global smart automation market is valued at approximately $125 billion in 2023 and is expected to grow rapidly

Statistic 69

The adoption of collaborative robots (cobots) has increased by 30% in the past year, facilitating safer human-robot interaction

Statistic 70

The use of blockchain technology in automation supply chains has increased by 75% since 2021, improving traceability and security

Statistic 71

The global market for industrial sensors used in automation is valued at $37 billion in 2023, and expected to grow at a CAGR of 8%

Statistic 72

Automation industry workforce is projected to grow by 15% annually through 2025 due to digital transformation efforts

Statistic 73

The implementation of robotic process automation (RPA) in automation companies has increased by 65% since 2020

Statistic 74

The global AI-powered automation market is expected to reach $290 billion by 2030, growing at a CAGR of 21%

Statistic 75

The deployment of autonomous mobile robots in warehouses has increased by 45% in 2023, supporting digital automation strategies

Statistic 76

The use of automated quality inspection systems has increased by 55% since 2020, reducing errors and increasing throughput

Statistic 77

The global demand for programmable logic controllers (PLCs) with integrated digital capabilities is expected to grow at 7% annually through 2027

Statistic 78

The market share of integrated automation systems combining hardware and software solutions has increased by 20% since 2020

Statistic 79

The deployment of smart sensors in automation has increased by 65% from 2020 to 2023, providing improved data for decision-making

Statistic 80

The total market value of digital automation platforms used in industrial settings is expected to reach $150 billion by 2025

Statistic 81

The adoption rate of autonomous robots in manufacturing plants has increased by nearly 50% since 2020, supporting digital automation growth

Statistic 82

Digital automation training programs have increased enrollment by 45% over the last three years, responding to industry demand for digital skills

Statistic 83

The global market for IoT sensors in automation is projected to reach $50 billion by 2028, growing at 11% CAGR from 2023

Statistic 84

The global market for robotic process automation (RPA) is expected to grow at a CAGR of 33% from 2023 to 2030, reaching over $11 billion

Statistic 85

70% of manufacturing companies have adopted at least one form of digital transformation technology

Statistic 86

45% of process automation is now performed using cloud-based platforms

Statistic 87

55% of industrial robots are now connected via industrial Ethernet, enabling more sophisticated automation workflows

Statistic 88

The adoption rate of digital twin technology in the automation industry has doubled from 2019 to 2023

Statistic 89

50% of industrial automation companies have adopted VR/AR technology for training and maintenance, improving efficiency and safety

Statistic 90

The integration of 5G in industrial automation increases system responsiveness by up to 35%

Statistic 91

The utilization of sensors in automation has increased by 40% since 2020 to enable smarter manufacturing processes

Statistic 92

58% of manufacturing firms plan to implement digital twins for process optimization within the next two years

Statistic 93

74% of manufacturing companies plan to increase their digital automation budgets by at least 10% in the next fiscal year

Statistic 94

The integration of blockchain with automation systems has reduced supply chain fraud by 30%, enhancing transparency and security

Statistic 95

53% of industrial automation projects now incorporate machine-to-machine (M2M) communication protocols for better interoperability

Statistic 96

53% of automation companies are adopting digital twin technology for predictive maintenance and process simulation, boosting efficiency

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Key Highlights

  • 70% of manufacturing companies have adopted at least one form of digital transformation technology
  • The global automation market is projected to reach $214 billion by 2026, growing at a CAGR of 9.8%
  • 65% of companies believe digital transformation is critical to maintaining competitiveness in the automation industry
  • 80% of automation industry executives report increased investment in IoT-enabled automation solutions
  • The use of AI in automation has increased by 50% over the past two years
  • 45% of process automation is now performed using cloud-based platforms
  • Industries like automotive and electronics have seen a 35% reduction in production downtime due to digital automation tools
  • 72% of automation tools in use today incorporate some form of machine learning
  • Real-time data analytics in automation has improved operational efficiency by an average of 25%
  • 60% of automation companies plan to increase their R&D budgets specifically for digital transformation by at least 15% next year
  • 55% of industrial robots are now connected via industrial Ethernet, enabling more sophisticated automation workflows
  • The adoption rate of digital twin technology in the automation industry has doubled from 2019 to 2023
  • 78% of companies see digital transformation as a way to significantly improve safety in automation processes

Digital transformation is revolutionizing the automation industry, with 70% of manufacturing companies adopting digital tools and the market projected to hit $214 billion by 2026—driving increased efficiency, safety, and innovation across global sectors.

Artificial Intelligence and Advanced Technologies

  • 72% of automation tools in use today incorporate some form of machine learning
  • Over 55% of automation vendors now offer AI-driven predictive maintenance solutions
  • 85% of automation firms believe that AI will be a key driver in the next decade of industry growth
  • 76% of automation projects are now leveraging AI to enhance predictive analytics
  • 83% of industrial automation companies are investing in AI for quality control and defect detection
  • The adoption of AI-based predictive analytics in automation has led to a 40% increase in predictive maintenance accuracy
  • 54% of automation industry leaders expect AI and machine learning to dominate in the next five years, transforming core operational processes
  • Over 85% of automation software vendors now offer embedded analytics to enable predictive insights

Artificial Intelligence and Advanced Technologies Interpretation

With an overwhelming majority of automation tools integrating AI and machine learning—driving predictive maintenance, quality control, and operational insights—industry leaders are confidently betting that the next decade belongs to intelligent automation, transforming factories from mere machinery to smart, data-driven ecosystems.

Automation Tools and Software Market Development

  • The use of AI in automation has increased by 50% over the past two years
  • Industries like automotive and electronics have seen a 35% reduction in production downtime due to digital automation tools
  • Real-time data analytics in automation has improved operational efficiency by an average of 25%
  • 85% of automation projects involving big data analytics reported ROI within the first 18 months of deployment
  • 68% of industrial sectors are investing heavily in cybersecurity to protect automation systems from cyber threats
  • 54% of automation projects include edge computing to enhance processing speed and reduce latency
  • 70% of automation protocols now include sustainability metrics to promote greener manufacturing processes
  • 65% of automation companies report increased customer satisfaction due to digital solutions
  • By 2024, over 60% of automation tasks are expected to be fully automated without human intervention
  • Companies deploying automation with digital twins have seen a 30% reduction in product development time
  • 54% of manufacturing organizations believe digital automation will significantly reduce repair and maintenance downtime
  • 48% of industry leaders consider digital automation initiatives as growth drivers for small and medium enterprises
  • Companies that have adopted digital automation report a 25% higher productivity rate than those that haven't
  • Digitalization-led automation has contributed to a 15% reduction in waste in manufacturing processes
  • 77% of automation software vendors report accelerated deployment times due to digital transformation tools
  • The use of data fusion techniques in automation has increased by 55% since 2020, enabling more comprehensive insights and control
  • The deployment of digital control systems has resulted in a 20% increase in product quality consistency across different manufacturing locations
  • The number of patents filed related to digital automation technologies increased by 60% between 2019 and 2023, indicating rapid innovation
  • 62% of manufacturers say that digital automation has helped them achieve their sustainability and environmental goals

Automation Tools and Software Market Development Interpretation

As digital automation surges—with AI use up 50%, ROI within 18 months for most projects, and sustainability metrics now embedded—industries like automotive and electronics are not just embracing smarter factories but racing towards a future where human workers are complemented, not replaced, by an ever-expanding digital workforce entwined with innovation, efficiency, and environmental responsibility.

Digital Transformation and Industry Shifts

  • 65% of companies believe digital transformation is critical to maintaining competitiveness in the automation industry
  • 60% of automation companies plan to increase their R&D budgets specifically for digital transformation by at least 15% next year
  • 78% of companies see digital transformation as a way to significantly improve safety in automation processes
  • 62% of manufacturing leaders believe that digital transformation will completely reshape their industry within the next 5 years
  • 46% of automation companies report that digital transformation has significantly improved their supply chain management
  • 81% of workers in automation industries feel that digital transformation has improved their work conditions
  • Digital automation integrated with ERP systems has led to 40% faster order processing times
  • Digital transformation initiatives have led to a 20% reduction in energy consumption in automated manufacturing plants
  • 45% of surveyed automation leaders agree that digital transformation has decreased operational costs significantly
  • 67% of automation companies report that digital transformation has improved data accuracy and decision-making capabilities
  • 83% of automation businesses invest in digital skill development for their workforce to keep pace with industry evolution
  • 52% of automation vendors now offer integrated analytics dashboards to provide real-time insights
  • The perception of digital transformation's ROI in automation has improved, with 64% of companies now seeing significant benefits
  • Over 70% of automation system integrators are prioritizing digital transformation in their strategic planning
  • 65% of automation projects fail without proper digital integration, highlighting the importance of digital skills
  • Digital transformation initiatives have improved supply chain visibility for 70% of automation firms, leading to more agile operations
  • 61% of workers in automation industries are actively engaging in online learning to develop digital skills
  • 83% of investment in automation technology now includes a digital component, such as IoT or AI, highlighting the trend towards digital integration
  • 49% of OEMs report that digital automation has enabled customization and flexibility in product manufacturing
  • 63% of automation companies are actively working on digital transformation roadmaps to align with Industry 4.0 standards
  • 60% of automation-related cybersecurity incidents in 2023 were caused by vulnerabilities linked to digital transformation initiatives
  • 80% of new automation deployments include some form of digital training or simulation prior to implementation, improving success rates
  • 58% of automation projects reported improvements in energy efficiency after digital transformation, leading to cost savings
  • The number of published research papers on digital automation in the industry has tripled from 2019 to 2023, indicating rapid academic and practical interest
  • 88% of automation industry stakeholders believe that digital transformation is necessary to support future sustainability goals
  • 69% of automation vendors report that digital transformation has accelerated adoption of new technologies and workflows
  • 82% of automation professionals consider digital literacy a critical skill for future workforce needs
  • 76% of automation companies believe that digital transformation is essential for innovation and staying competitive
  • 63% of manufacturing sectors have implemented or plan to implement digital threads to connect data across the product lifecycle, facilitating better decision-making
  • 66% of automation firms emphasize the importance of integrating digital workflows to reduce manual errors
  • 73% of companies report that digital automation solutions have enabled faster response times to market changes, providing a competitive edge
  • 45% of automation system integrators report that remote monitoring via digital platforms has reduced onsite maintenance visits by approximately 30%
  • 91% of organizations implementing digital automation report improved operational visibility, leading to better strategic decisions
  • 77% of automation firms believe that their digital transformation initiatives will lead to new business models
  • The integration of augmented reality in automation maintenance procedures has reduced repair times by an average of 25%

Digital Transformation and Industry Shifts Interpretation

As the automation industry accelerates towards Industry 4.0, over two-thirds of companies recognize digital transformation as vital for competitiveness, safety, and sustainability—even as nearly half face cybersecurity hurdles—proving that embracing digital not only redefines processes but also becomes a strategic imperative to stay ahead in an evolving technological landscape.

Market Growth and Projections

  • The global automation market is projected to reach $214 billion by 2026, growing at a CAGR of 9.8%
  • 80% of automation industry executives report increased investment in IoT-enabled automation solutions
  • The automation industry is expected to generate over 180,000 new jobs globally by 2025 due to digital initiatives
  • Cloud robotics adoption in automation has increased by 60% over the last three years
  • The use of cyber-physical systems in automation has grown by 40% since 2020
  • The global smart automation market is valued at approximately $125 billion in 2023 and is expected to grow rapidly
  • The adoption of collaborative robots (cobots) has increased by 30% in the past year, facilitating safer human-robot interaction
  • The use of blockchain technology in automation supply chains has increased by 75% since 2021, improving traceability and security
  • The global market for industrial sensors used in automation is valued at $37 billion in 2023, and expected to grow at a CAGR of 8%
  • Automation industry workforce is projected to grow by 15% annually through 2025 due to digital transformation efforts
  • The implementation of robotic process automation (RPA) in automation companies has increased by 65% since 2020
  • The global AI-powered automation market is expected to reach $290 billion by 2030, growing at a CAGR of 21%
  • The deployment of autonomous mobile robots in warehouses has increased by 45% in 2023, supporting digital automation strategies
  • The use of automated quality inspection systems has increased by 55% since 2020, reducing errors and increasing throughput
  • The global demand for programmable logic controllers (PLCs) with integrated digital capabilities is expected to grow at 7% annually through 2027
  • The market share of integrated automation systems combining hardware and software solutions has increased by 20% since 2020
  • The deployment of smart sensors in automation has increased by 65% from 2020 to 2023, providing improved data for decision-making
  • The total market value of digital automation platforms used in industrial settings is expected to reach $150 billion by 2025
  • The adoption rate of autonomous robots in manufacturing plants has increased by nearly 50% since 2020, supporting digital automation growth
  • Digital automation training programs have increased enrollment by 45% over the last three years, responding to industry demand for digital skills
  • The global market for IoT sensors in automation is projected to reach $50 billion by 2028, growing at 11% CAGR from 2023
  • The global market for robotic process automation (RPA) is expected to grow at a CAGR of 33% from 2023 to 2030, reaching over $11 billion

Market Growth and Projections Interpretation

As automation's global trajectory accelerates toward a $214 billion horizon fueled by IoT, AI, and robotics—alongside a 15% workforce growth—it's clear that industries are not just digitizing but fundamentally reimagining their future, turning robots from mere tools into integrated partners in productivity and innovation.

Technology Adoption and Integration

  • 70% of manufacturing companies have adopted at least one form of digital transformation technology
  • 45% of process automation is now performed using cloud-based platforms
  • 55% of industrial robots are now connected via industrial Ethernet, enabling more sophisticated automation workflows
  • The adoption rate of digital twin technology in the automation industry has doubled from 2019 to 2023
  • 50% of industrial automation companies have adopted VR/AR technology for training and maintenance, improving efficiency and safety
  • The integration of 5G in industrial automation increases system responsiveness by up to 35%
  • The utilization of sensors in automation has increased by 40% since 2020 to enable smarter manufacturing processes
  • 58% of manufacturing firms plan to implement digital twins for process optimization within the next two years
  • 74% of manufacturing companies plan to increase their digital automation budgets by at least 10% in the next fiscal year
  • The integration of blockchain with automation systems has reduced supply chain fraud by 30%, enhancing transparency and security
  • 53% of industrial automation projects now incorporate machine-to-machine (M2M) communication protocols for better interoperability
  • 53% of automation companies are adopting digital twin technology for predictive maintenance and process simulation, boosting efficiency

Technology Adoption and Integration Interpretation

As the automation industry accelerates toward a more connected, intelligent future—where nearly three-quarters plan to boost digital budgets, half harness VR/AR for safer training, and digital twins double in prevalence—it's clear that digital transformation isn't just a trend but the blueprint for smarter, more secure manufacturing.

Sources & References