Digital Transformation In The Mining Industry Statistics 2026

The global mining software market grew by 10.7 percent in a single year, reaching $37.2 billion. This investment is widespread, with 71 percent of companies planning to increase their digital transformation spend in 2024.

Key Takeaways

10.7% year-over-year growth to reach $37.2 billion in 2023 for the global mining software market (a key enablement technology for digital transformation in mining)
$10.0 billion forecast for the global mining automation market in 2024
$11.3 billion valuation for the industrial IoT (IIoT) market in 2022, forming a foundation for connected mine operations
71% of companies in a Gartner survey said they will increase investment in digital transformation technologies in 2024
$1.3 trillion estimated annual value potential from generative AI in the global economy per McKinsey (context for transformation investments)
Mining remains one of the most cyber-targeted critical infrastructure sectors; in 2023, the U.S. CISA KEV catalog included multiple industrial control system (ICS) incidents relevant to mining operators (cyber risk exposure)
18% of mining organizations report using IoT platforms today, up from 14% in 2020 (IoT adoption in mining and metals)
34% of mining organizations report using cloud data platforms today (cloud adoption in mining and metals)
72% of mining and metals organizations say they use analytics for decision-making (analytics adoption)
U.S. Bureau of Labor Statistics data show that mining productivity increased by 0.7% in 2023 (labor productivity trend relevant to operational efficiency)
IBM estimates that AI-driven automation can reduce costs by about 30% for some enterprise functions (cost impact from AI-enabled transformation)
The U.S. Department of Homeland Security (CISA) states that ransomware response can be very costly; CISA provides guidance on incident cost mitigation (cost risk guidance for ransomware affecting operations)

Mining is accelerating digital transformation with rising software and cloud investment, expanding automation, and urgent cybersecurity needs.

01 · Category

Market Size9 stats

10.7% year-over-year growth to reach $37.2 billion in 2023 for the global mining software market (a key enablement technology for digital transformation in mining)

$10.0 billion forecast for the global mining automation market in 2024

$11.3 billion valuation for the industrial IoT (IIoT) market in 2022, forming a foundation for connected mine operations

$7.4 billion global market size for mining cloud services in 2022, supporting remote operations and data platforms

$3.2 billion projected global spend on mining cybersecurity by 2024

$5.6 billion global market size for predictive maintenance in 2022, relevant to equipment digitization and reliability programs in mining

$4.7 billion global market size for smart mining market in 2021

$12.3 billion projected global market size for digital twin technology by 2026

$1.9 billion market size forecast for asset performance management (APM) software in 2024

Interpretation

Market Size Interpretation

The market size numbers show fast, multi-technology expansion in mining digital transformation, with projections of $10.0 billion for mining automation in 2024 and $37.2 billion for the global mining software market by 2023 growing 10.7% year over year, alongside major ecosystem build out in IIoT at $11.3 billion in 2022, mining cloud services at $7.4 billion in 2022, cybersecurity spending projected to reach $3.2 billion by 2024, and predictive maintenance at $5.6 billion in 2022.

02 · Category

Industry Trends8 stats

71% of companies in a Gartner survey said they will increase investment in digital transformation technologies in 2024

$1.3 trillion estimated annual value potential from generative AI in the global economy per McKinsey (context for transformation investments)

Mining remains one of the most cyber-targeted critical infrastructure sectors; in 2023, the U.S. CISA KEV catalog included multiple industrial control system (ICS) incidents relevant to mining operators (cyber risk exposure)

The International Energy Agency (IEA) estimates that clean energy technologies require critical mineral supply chains to scale significantly by 2030 (digital transformation driver for traceability and planning)

World Economic Forum forecasts that by 2025, 10% of global GDP will be digitized by applying Industry 4.0 (strategic driver for digital transformation in heavy industry including mining)

NERC’s 2021 reliability assessment notes that increased data and automation in power systems raise cybersecurity and reliability requirements for grid operators (grid-interaction risk trend relevant to mine power demands)

OECD reports that traceability and responsible sourcing requirements are increasing across mineral supply chains (trend supporting digital traceability adoption)

The Global Reporting Initiative (GRI) Standards require disclosure of material topics including energy and emissions for mining organizations that report under GRI (regulatory reporting driver)

Interpretation

Industry Trends Interpretation

Mining companies are clearly leaning into Industry Trends in digital transformation, with 71% planning to raise investments in 2024 and generative AI alone projected to add $1.3 trillion annually to the global economy, even as the sector remains heavily exposed to cyber risks and must meet growing reliability and security demands.

03 · Category

User Adoption9 stats

18% of mining organizations report using IoT platforms today, up from 14% in 2020 (IoT adoption in mining and metals)

34% of mining organizations report using cloud data platforms today (cloud adoption in mining and metals)

72% of mining and metals organizations say they use analytics for decision-making (analytics adoption)

61% of mining and metals organizations have an enterprise data strategy (data strategy adoption)

58% of mining and metals organizations have adopted mobile technologies for field operations (mobility adoption)

49% of mining and metals organizations use predictive analytics in production (predictive analytics adoption)

23% of mining and metals organizations report using AR/VR today (immersive tech adoption)

46% of mining and metals organizations say they have implemented some form of remote operations capability (remote operations adoption)

38% of mining and metals organizations say they have implemented a digital twin initiative (digital twin adoption)

Interpretation

User Adoption Interpretation

User adoption in mining is steadily rising as adoption of key digital tools grows and analytics becomes mainstream, with IoT up to 18% from 14% in 2020 while 72% of mining and metals organizations already use analytics for decision-making.

Digital Transformation In IndustryDigital Transformation In The Data Center Industry Statistics

04 · Category

Performance Metrics1 stats

U.S. Bureau of Labor Statistics data show that mining productivity increased by 0.7% in 2023 (labor productivity trend relevant to operational efficiency)

Interpretation

Performance Metrics Interpretation

In 2023, mining productivity rose by 0.7% according to the U.S. Bureau of Labor Statistics, signaling measurable performance gains tied to digital transformation efforts in the industry.

05 · Category

Cost Analysis2 stats

IBM estimates that AI-driven automation can reduce costs by about 30% for some enterprise functions (cost impact from AI-enabled transformation)

The U.S. Department of Homeland Security (CISA) states that ransomware response can be very costly; CISA provides guidance on incident cost mitigation (cost risk guidance for ransomware affecting operations)

Interpretation

Cost Analysis Interpretation

For cost analysis in mining digital transformation, IBM’s estimate that AI-driven automation can cut certain enterprise-function costs by about 30% suggests major savings potential, while CISA’s emphasis that ransomware response can be very costly highlights that investing in protection is critical to avoid expensive incident overruns.

report visual · Key figures

Mining’s Digital Transformation Adoption Is Broadening

Surveys show majority uptake of analytics and data strategy, with growing—though more moderate—adoption of IoT, cloud, predictive analytics, mobility, and remote operations capabilities.

18%

18% of mining organizations report using IoT platforms today, up from 14% in 2020 (IoT adoption in mining and metals)

34%

34% of mining organizations report using cloud data platforms today (cloud adoption in mining and metals)

72%

72% of mining and metals organizations say they use analytics for decision-making (analytics adoption)

61%

61% of mining and metals organizations have an enterprise data strategy (data strategy adoption)

49%

49% of mining and metals organizations use predictive analytics in production (predictive analytics adoption)

46%

46% of mining and metals organizations say they have implemented some form of remote operations capability (remote opera

source-verifiedsmartdatacollective.com2020

Reference

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APA

Christopher Morgan. (2026, February 13). Digital Transformation In The Mining Industry Statistics. Gitnux. https://gitnux.org/digital-transformation-in-the-mining-industry-statistics

MLA

Christopher Morgan. "Digital Transformation In The Mining Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/digital-transformation-in-the-mining-industry-statistics.

Chicago

Christopher Morgan. 2026. "Digital Transformation In The Mining Industry Statistics." Gitnux. https://gitnux.org/digital-transformation-in-the-mining-industry-statistics.