By 2025, 75% of industrial data will be processed at the edge, a big shift from the centralized datacenter model that still dominates many plants. At the same time, ransomware remains a major threat with 66% of organizations naming it a top concern, while edge compute and AI-enabled planning raise the stakes for operational security. This post pulls together the key industrial automation, robotics, and OT cybersecurity statistics that explain where budgets are headed and what risks are growing alongside them.
Key Takeaways
- 2.6% CAGR forecast for the global industrial automation market from 2024 to 2029, reaching $182.1 billion by 2029
- 35% of total industrial automation spending is expected to be captured by industrial robotics through 2027
- 15.4% CAGR forecast for the industrial robotics market from 2024 to 2032, reaching $41.4 billion by 2032
- In 2024, 66% of organizations reported ransomware as a top concern (Verizon 2024 Data Breach Investigations Report ransomware focus findings)
- The 2023 CISA/ODNI report states that 50% of observed cyber intrusions against critical infrastructure used stolen credentials
- 1,300+ OT vulnerabilities were published in 2023 across ICS vendors as tracked by the Claroty research database
- By 2026, 30% of new industrial plants will use industrial edge computing to run latency-sensitive applications (Gartner prediction, 2023 edge computing forecast)
- By 2025, 50% of supply chains will be using AI-enabled digital platforms for risk and demand planning (Gartner supply chain AI prediction)
- By 2025, 75% of industrial data will be processed at the edge rather than in centralized data centers (Gartner forecast on edge computing)
- Cloud-based industrial data platforms can lower capex by 20% relative to on-prem architectures for medium-sized deployments (Gartner guidance excerpt)
- Implementing a condition-monitoring program can reduce unplanned maintenance costs by 10%–40% (IEEE industrial maintenance economics paper)
- 10% productivity improvement average reported by manufacturers using industrial robotics (IFR—World Robotics findings)
- In 2023, U.S. manufacturing downtime averaged 3.6% of production time (Industry report)
- 20% of utilities in North America report using IEC 61850-based substation automation systems (UCA International Survey/industry report)
- 41% of industrial firms have adopted digital twins at least in pilot form (Gartner survey/forecast report)
Industrial automation is set to grow steadily through 2029, driven by robotics, AI at the edge, and stronger OT cybersecurity.
Market Size
12.6% CAGR forecast for the global industrial automation market from 2024 to 2029, reaching $182.1 billion by 2029[1]
Verified
235% of total industrial automation spending is expected to be captured by industrial robotics through 2027[2]
Directional
315.4% CAGR forecast for the industrial robotics market from 2024 to 2032, reaching $41.4 billion by 2032[3]
Directional
4USD 7.3 billion global spend on industrial automation cybersecurity solutions expected by 2030 (2024–2030 CAGR: 13.8%)[4]
Single source
5USD 8.2 billion global market size for industrial asset management software in 2023, forecast to reach USD 20.2 billion by 2032[5]
Verified
6USD 4.5 billion global market size for programmable logic controllers (PLCs) in 2023, forecast to reach USD 6.3 billion by 2030[6]
Verified
7USD 4.8 billion global market size for distributed control systems (DCS) in 2023, forecast to reach USD 7.1 billion by 2030[7]
Verified
8USD 3.8 billion global market size for industrial SCADA in 2023, forecast to reach USD 5.6 billion by 2030[8]
Verified
9USD 9.6 billion global market size for industrial sensors in 2022, forecast to reach USD 28.4 billion by 2030[9]
Verified
10USD 12.8 billion global market size for industrial valves in 2023, forecast to reach USD 16.5 billion by 2030[10]
Verified
Market Size Interpretation
For the Market Size view, industrial automation is projected to climb to $182.1 billion by 2029 on a 2.6% CAGR, while specific subsegments are expanding faster such as industrial robotics capturing 35% of spending by 2027 and reaching $41.4 billion by 2032 with a 15.4% CAGR.
Cybersecurity & Risk
1In 2024, 66% of organizations reported ransomware as a top concern (Verizon 2024 Data Breach Investigations Report ransomware focus findings)[11]
Single source
2The 2023 CISA/ODNI report states that 50% of observed cyber intrusions against critical infrastructure used stolen credentials[12]
Verified
31,300+ OT vulnerabilities were published in 2023 across ICS vendors as tracked by the Claroty research database[13]
Directional
Cybersecurity & Risk Interpretation
In the Cybersecurity and Risk category, the combination of ransomware driving 66% of organizations’ top concerns in 2024, stolen credentials featuring in 50% of critical infrastructure intrusions, and 1,300-plus OT vulnerabilities published in 2023 signals an urgent convergence of high impact threat activity and expanding exposure across industrial control environments.
Industry Trends
1By 2026, 30% of new industrial plants will use industrial edge computing to run latency-sensitive applications (Gartner prediction, 2023 edge computing forecast)[14]
Verified
2By 2025, 50% of supply chains will be using AI-enabled digital platforms for risk and demand planning (Gartner supply chain AI prediction)[15]
Verified
3By 2025, 75% of industrial data will be processed at the edge rather than in centralized data centers (Gartner forecast on edge computing)[16]
Single source
4By 2027, 25% of industrial organizations will use process mining for compliance and continuous improvement (Gartner process mining outlook)[17]
Verified
Industry Trends Interpretation
Industry Trends point to a clear shift toward distributed intelligence, with by 2025 75% of industrial data processed at the edge and 30% of new plants using industrial edge computing by 2026 to better handle latency sensitive applications.
Cost & Roi
1Cloud-based industrial data platforms can lower capex by 20% relative to on-prem architectures for medium-sized deployments (Gartner guidance excerpt)[18]
Directional
2Implementing a condition-monitoring program can reduce unplanned maintenance costs by 10%–40% (IEEE industrial maintenance economics paper)[19]
Directional
Cost & Roi Interpretation
From a Cost & Roi perspective, using cloud-based industrial data platforms can cut capex by 20% versus on-prem for medium deployments, while condition monitoring can drive unplanned maintenance costs down by 10% to 40%.
Performance & Efficiency
110% productivity improvement average reported by manufacturers using industrial robotics (IFR—World Robotics findings)[20]
Verified
2In 2023, U.S. manufacturing downtime averaged 3.6% of production time (Industry report)[21]
Verified
Performance & Efficiency Interpretation
In the Performance and Efficiency space, industrial robotics are helping manufacturers average a 10% productivity gain, while U.S. manufacturing downtime still averages 3.6% of production time in 2023, showing how automation is boosting output even as efficiency losses from downtime remain a measurable challenge.
User Adoption
120% of utilities in North America report using IEC 61850-based substation automation systems (UCA International Survey/industry report)[22]
Verified
241% of industrial firms have adopted digital twins at least in pilot form (Gartner survey/forecast report)[23]
Verified
324% of manufacturers reported deploying augmented reality (AR) for maintenance operations in 2024 (PTC/industry survey)[24]
Verified
453% of factories reported adopting robotics in at least one application area (IFR World Robotics findings)[25]
Verified
User Adoption Interpretation
User adoption is clearly accelerating across industries, with 53% of factories using robotics and 41% of industrial firms already piloting digital twins, while 24% of manufacturers deploying AR for maintenance and 20% of North American utilities adopting IEC 61850-based substation automation show that these technologies are moving from interest into real-world rollout.
How We Rate Confidence
Models
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Single source
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Directional
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
Verified
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Models
Cite This Report
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APA
Thomas Lindqvist. (2026, February 13). Industrial Automation Industry Statistics. Gitnux. https://gitnux.org/industrial-automation-industry-statistics
MLA
Thomas Lindqvist. "Industrial Automation Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/industrial-automation-industry-statistics.
Chicago
Thomas Lindqvist. 2026. "Industrial Automation Industry Statistics." Gitnux. https://gitnux.org/industrial-automation-industry-statistics.
References
- 1fortunebusinessinsights.com/industry-reports/industrial-automation-market-100265
- 2automationsmart.com/industry/industrial-robotics-market-trends/
- 3precedenceresearch.com/robotics-market
- 4businessresearchinsights.com/industry-reports/industrial-automation-cybersecurity-market-103121
- 5alliedmarketresearch.com/industrial-asset-management-market-A14763
- 6alliedmarketresearch.com/plc-market-A05115
- 7alliedmarketresearch.com/distributed-control-systems-market-A09835
- 8alliedmarketresearch.com/scada-market-A12443
- 9mordorintelligence.com/industry-reports/industrial-sensors-market
- 10mordorintelligence.com/industry-reports/industrial-valves-market
- 11verizon.com/business/resources/reports/dbir/
- 12cisa.gov/news-events/news/2023/07/25-cisa-releases-analytical-report-stolen-credentials-critical-infrastructure
- 13claroty.com/blog/cybersecurity-ics-vulnerabilities-2023/
- 14gartner.com/en/newsroom/press-releases/2023-11-15-gartner-identifies-top-10-predictions-for-2024
- 15gartner.com/en/newsroom/press-releases/2022-10-21-gartner-top-strategic-technology-trends-for-2023
- 16gartner.com/en/newsroom/press-releases/2022-10-25-gartner-forecasts-75-percent-of-enterprise-generated-data-will-be-processed-at-the-edge-by-2025
- 17gartner.com/en/newsroom/press-releases/2022-12-01-gartner-top-7-strategic-technology-trends-for-2023
- 18gartner.com/en/documents/400000
- 23gartner.com/en/newsroom/press-releases/2023-10-19-gartner-says-by-2025-80-percent-of-asset-owners-will-use-digital-twins
- 19ieeexplore.ieee.org/document/9433980
- 20ifr.org/ifr-press-releases/news/robotics-and-productivity/
- 25ifr.org/ifr-press-releases/news/robotics-in-industry-survey/
- 21mapi.net/industry-statistics/manufacturing-downtime
- 22iec.ch/dyn/www/f?p=103:55:0::::FSP_ORG_ID:1,FSP_LANG:25
- 24ptc.com/en/resources/augmented-reality-survey