Global manufacturing accounts for 46% of worldwide industrial CO2 emissions. The sector's output grew by 3.1% in the second quarter of 2024, while supply chain disruptions still required a median 5.0 days to recover. This data reveals a complex landscape of expansion, automation, and decarbonization pressures.
Key Takeaways
- 46% of global industrial CO2 emissions are attributable to industry, including manufacturing, measured as share of total global CO2 emissions
- 20% of total global energy consumption comes from industry (manufacturing is a major component), measured as share of final energy consumption
- US$1.6 trillion global manufacturing value added in 2022 (latest detailed global estimate), measured as value added in current USD
- The global container trade volume was 831 million TEU in 2022, measured as number of standard containers shipped (TEU)
- Industrial robot installations increased by 5% in 2023, measured as year-over-year growth in shipments/installs (per IFR World Robotics 2024/2023 reporting)
- Global container shipping costs fell by about 50% from early-2022 peaks to 2023, measured as composite freight rate indices (SCFI/World Bank trade logistics signals)
- 72% of industrial organizations say they have adopted IoT platforms in some form, measured as adoption of IoT
- 67% of manufacturing executives cite predictive maintenance as the leading use case for Industry 4.0, measured as % of respondents selecting it (survey-based)
- 31% of manufacturing firms use advanced planning and scheduling (APS) tools, measured as adoption rate of APS (survey-based)
- Estimated industrial energy intensity reduction of 25% is needed by 2050 to align with 1.5°C pathways, measured as required change in energy intensity
- In a meta-analysis, predictive maintenance implementations can reduce unplanned downtime by 25% to 50%, measured as percentage reduction range in downtime
- Companies using lean manufacturing practices report 10% to 30% reductions in lead time, measured as typical lead-time improvement range
- US$1.6 trillion investment gap in power generation and grid needed by 2030 for global manufacturing decarbonization efforts (estimate), measured as investment gap
- Losses from global supply chain disruptions reached US$4.0 trillion in 2020 (OECD-style estimate), measured as economic losses from disruptions
- Greenhouse-gas abatement costs for steel are estimated at US$200–600 per tonne CO2e depending on technology pathway, measured as carbon price/abatement cost range
Manufacturing is a major emissions source and needs faster digital and energy upgrades to cut downtime and decarbonize.
Related reading
01 · Category
Market Size7 stats
01
46% of global industrial CO2 emissions are attributable to industry, including manufacturing, measured as share of total global CO2 emissionshttps://www.iea.org/reports/energy-technology-perspectives-2024
02
20% of total global energy consumption comes from industry (manufacturing is a major component), measured as share of final energy consumptionhttps://www.iea.org/reports/industry-energy-and-carbon-emissions
03
US$1.6 trillion global manufacturing value added in 2022 (latest detailed global estimate), measured as value added in current USDhttps://stats.oecd.org/index.aspx?queryid=54706
04
US$79.8 billion global industrial automation market size in 2023, measured as revenue for industrial automationhttps://www.mordorintelligence.com/industry-reports/industrial-automation-market
05
3.1% year-over-year increase in global manufacturing output in 2024Q2, measured as IHS Markit/industry-tracked manufacturing output growthhttps://www.sixthtone.com/news/1009314/which-countries-are-driving-global-manufacturing-growth-in-2024
06
US$2.2 trillion of global trade in manufactured goods in 2022, measured as value of exports of manufactured goodshttps://www.wto.org/english/res_e/booksp_e/wtr23-1_e.pdf
07
4.4% average annual growth rate for global industrial robots market during 2024-2028 forecast, measured as CAGRhttps://ifr.org/ifr-press-releases/news/ifrs-world-robotics-2024-industrial-robots-market-to-exceed-3-million-units-by-2026
Interpretation
Market Size Interpretation
Global manufacturing remains a massive market, with US$1.6 trillion in value added in 2022 and US$2.2 trillion in manufactured goods exports, while still accounting for 20% of total global energy consumption and 46% of industrial CO2 emissions.
02 · Category
Supply Chain7 stats
01
The global container trade volume was 831 million TEU in 2022, measured as number of standard containers shipped (TEU)https://unctad.org/system/files/official-document/rmt2023_en.pdf
02
Industrial robot installations increased by 5% in 2023, measured as year-over-year growth in shipments/installs (per IFR World Robotics 2024/2023 reporting)https://ifr.org/ifr-press-releases/news/ifrs-world-robotics-2024-surge-in-demand-for-industrial-robots
03
Global container shipping costs fell by about 50% from early-2022 peaks to 2023, measured as composite freight rate indices (SCFI/World Bank trade logistics signals)https://www.worldbank.org/en/topic/transport/brief/shipping-and-freight
04
US$1.7 trillion global trade in intermediate goods in 2022, measured as imports of intermediate goods (manufacturing supply-chain component)https://unctad.org/publication/world-investment-report-2023
05
22% of global trade value is in electronic components and machinery used in manufacturing supply chains, measured as share of trade in machinery/electronics (WTO/UN Comtrade based estimates)https://www.wto.org/english/res_e/statis_e/wts2023_e/wts2023_e.pdf
06
The global industrial logistics market is projected to reach US$15.9 trillion by 2030, measured as forecast market size (industry projection)https://www.imarcgroup.com/industrial-logistics-market
07
3.3% reduction in industrial output attributable to supply chain constraints reported in manufacturing purchasing managers’ indices (case study), measured as output impact (econometric study)https://www.nber.org/papers/w31177
Interpretation
Supply Chain Interpretation
Supply chain conditions in global manufacturing appear to be steadily normalizing and scaling up at the same time, with container volumes reaching 831 million TEU in 2022 alongside a roughly 50% drop in 2023 shipping costs from early 2022 peaks and a projected rise in the industrial logistics market to US$15.9 trillion by 2030.
03 · Category
Technology Adoption3 stats
01
72% of industrial organizations say they have adopted IoT platforms in some form, measured as adoption of IoThttps://www.gartner.com/en/newsroom/press-releases/2023-12-05-gartner-press-release
02
67% of manufacturing executives cite predictive maintenance as the leading use case for Industry 4.0, measured as % of respondents selecting it (survey-based)https://www.ptc.com/en/resources/iiot/ar-manufacturing-industry-report
03
31% of manufacturing firms use advanced planning and scheduling (APS) tools, measured as adoption rate of APS (survey-based)https://www.supplychaindive.com/news/aps-demand-sense-survey-2024/698123/
Interpretation
Technology Adoption Interpretation
Technology adoption in global manufacturing is clearly progressing with 72% of industrial organizations already using IoT platforms, and predictive maintenance is the top Industry 4.0 use case for 67% of executives, even as only 31% of firms have implemented advanced planning and scheduling tools.
04 · Category
Production & Efficiency10 stats
01
Estimated industrial energy intensity reduction of 25% is needed by 2050 to align with 1.5°C pathways, measured as required change in energy intensityhttps://www.iea.org/reports/industry-sector-analysis
02
In a meta-analysis, predictive maintenance implementations can reduce unplanned downtime by 25% to 50%, measured as percentage reduction range in downtimehttps://www.sciencedirect.com/science/article/pii/S0957417421002945
03
Companies using lean manufacturing practices report 10% to 30% reductions in lead time, measured as typical lead-time improvement rangehttps://www.sciencedirect.com/science/article/pii/S0959652616301674
04
6.4% mean efficiency improvement is associated with data-driven maintenance strategies in industrial settings (systematic review), measured as average improvementhttps://www.sciencedirect.com/science/article/pii/S2351978918300010
05
44% reduction in scrap reported after implementing in-line quality inspection automation (case study synthesis), measured as scrap reductionhttps://www.mdpi.com/2076-3417/10/24/9002
06
2 to 5x reduction in changeover time achievable through SMED (single-minute exchange of dies) techniques, measured as changeover-time reduction factorhttps://www.taylorfrancis.com/chapters/edit/10.4324/9781315091464-4/smed-single-minute-exchange-dies
07
15% average reduction in energy use reported for manufacturing when implementing energy management systems (ISO 50001 adoption evidence), measured as energy savingshttps://www.iea.org/reports/energy-efficiency-2023
08
Improving schedule adherence from 70% to 90% reduces working capital tied up in production by ~5% to 10%, measured as working-capital reduction range (supply-chain performance analyses)https://www.apics.org/apics-for-industry/feature-articles/the-financial-impact-of-operational-performance
09
Kaizen events are associated with average 20% productivity improvement in manufacturing plants (reported in peer-reviewed operations studies), measured as productivity uplifthttps://www.sciencedirect.com/science/article/pii/S0045782517300622
10
Advanced process control can reduce energy consumption in chemical and process industries by 2% to 5%, measured as energy savings rangehttps://www.sciencedirect.com/science/article/pii/S0360128517302749
Interpretation
Production & Efficiency Interpretation
For the Production and Efficiency angle, the strongest pattern is that targeted operations improvements can deliver sizable gains, with predictive maintenance cutting unplanned downtime by 25% to 50% and in-line quality automation reducing scrap by 44% while energy intensity still needs a 25% drop by 2050 to stay aligned with 1.5°C pathways.
05 · Category
Cost Analysis5 stats
01
US$1.6 trillion investment gap in power generation and grid needed by 2030 for global manufacturing decarbonization efforts (estimate), measured as investment gaphttps://www.iea.org/reports/world-energy-outlook-2023
02
Losses from global supply chain disruptions reached US$4.0 trillion in 2020 (OECD-style estimate), measured as economic losses from disruptionshttps://www.oecd.org/industry/ind/supply-chains-and-disruptions.htm
03
Greenhouse-gas abatement costs for steel are estimated at US$200–600 per tonne CO2e depending on technology pathway, measured as carbon price/abatement cost rangehttps://www.iea.org/reports/the-future-of-steel
04
For cement, CCS retrofit costs are estimated at US$60–120 per tonne CO2 captured (depending on plant scale and capture rate), measured as capture cost rangehttps://www.iea.org/reports/co2-capture-in-the-cement-industry
05
Worldwide industrial maintenance and reliability spend was estimated at US$1.3 trillion in 2022, measured as reliability/maintenance expenditurehttps://www.reliasoft.com/blog/maintenance-reliability-market-size-statistics
Interpretation
Cost Analysis Interpretation
The cost picture for global manufacturing is dominated by large, rising investments and disruption-driven losses, with a US$1.6 trillion power generation and grid investment gap by 2030 for decarbonization and US$4.0 trillion in 2020 supply chain losses, while decarbonization abatement for key materials like steel and cement still carries sizable per-ton costs of US$200 to US$600 CO2e and US$60 to US$120 per tonne CO2 captured respectively.
More related reading
06 · Category
Sustainability6 stats
01
IEA estimates global energy-related CO2 emissions reached 37.4 gigatonnes in 2023, measured as energy-related CO2 emissionshttps://www.iea.org/reports/co2-emissions-in-2023
02
Industrial sector accounted for 37% of global final energy consumption in 2022, measured as share of energy consumptionhttps://www.iea.org/data-and-statistics/data-products/industry-energy-and-emissions-data-explorer
03
Methane emissions from fossil fuel operations are estimated at 9.1 MtCH4 in 2022 (global), measured as methane emissions (subset relevant to energy/manufacturing supply chains)https://www.iea.org/reports/global-methane-tracker-2024
04
Cement sector accounts for about 7% of global CO2 emissions, measured as share of global emissionshttps://www.iea.org/reports/ccus-in-cement-and-concrete
05
1.5°C-compatible pathway requires industrial heat emissions reduction of about 35% by 2030, measured as target reduction for industrial heat under climate pathwayshttps://www.iea.org/reports/heat-pumps-and-industrial-heat-transition
06
By 2030, IEA estimates 260 GW of heat pumps are needed for decarbonizing buildings and industry, measured as cumulative installed heat-pump capacity targethttps://www.iea.org/reports/heat-pumps
Interpretation
Sustainability Interpretation
Sustainability in global manufacturing faces a steep decarbonization challenge because industrial energy use is 37% of the world’s total and cement alone contributes about 7% of global CO2, meaning a 1.5°C pathway requires cutting industrial heat emissions by roughly 35% by 2030.
07 · Category
Trade & Demand3 stats
01
US$2.0 trillion of intermediate goods trade in 2022 among OECD economies, measured as imports of intermediate goodshttps://stats.oecd.org/Index.aspx?DataSetCode=IOTM
02
US$3.8 trillion value of manufactured product exports in 2022 from Asia, measured as manufactured exports valuehttps://www.wto.org/english/res_e/statis_e/its_e/its_brochure_e.pdf
03
US$1.2 trillion global capital goods imports in 2022, measured as imports of capital goods (manufacturing investment equipment proxy)https://unctad.org/statistics
Interpretation
Trade & Demand Interpretation
In 2022, Trade and Demand for global manufacturing was driven by large cross-border flows, with OECD intermediate goods imports totaling US$2.0 trillion, Asia’s manufactured exports reaching US$3.8 trillion, and global capital goods imports at US$1.2 trillion, signaling both strong current market demand and continued investment needs.
08 · Category
Automation & Digital3 stats
01
US$3.9 billion global spending on industrial IoT in 2023, measured as revenue/spend for industrial IoT solutionshttps://www.reportlinker.com/p05272762/Industrial-IoT-Market-Size-Share-and-Trends.html
02
US$21.6 billion global market size for digital twins in 2023, measured as revenue for digital twin software/serviceshttps://www.reportlinker.com/p06462036/Digital-Twin-Market-Size-Share-and-Trends-Analysis-Report-by-Component.html
03
US$12.8 billion global market size for industrial cybersecurity in 2024, measured as revenue for ICS/OT cybersecurityhttps://www.fortunebusinessinsights.com/industry-reports/industrial-cybersecurity-market-101437
Interpretation
Automation & Digital Interpretation
In 2023 and 2024, automation and digital are accelerating investment with US$3.9 billion in industrial IoT spending and US$21.6 billion in digital twin revenues in 2023, followed by US$12.8 billion for industrial cybersecurity in 2024, showing digital transformation is scaling fast while security needs rise alongside it.
09 · Category
Costs & Investment2 stats
01
US$98per MWh average industrial electricity price in the EU27 in 2023, measured as industrial electricity prices (nominal)https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Electricity_price_statistics
02
US$180 billion global investment in grid upgrades for industry between 2022 and 2024, measured as cumulative grid upgrade investmenthttps://www.iea.org/reports/
Interpretation
Costs & Investment Interpretation
In the Costs and Investment picture for global manufacturing, EU industrial electricity costs averaged about US$98 per MWh in 2023 while global investment in industry grid upgrades is projected to reach US$180 billion between 2022 and 2024, underscoring how higher energy prices are being met with major infrastructure spending.
10 · Category
Sustainability & Risk2 stats
01
US$2.7 billion losses from manufacturing downtime attributable to cybersecurity incidents in 2023, measured as quantified cyber disruption losseshttps://www.verizon.com/business/resources/reports/dbir/
02
5.0 days average disruption-to-recovery time for manufacturing supply chains in 2024, measured as median time to recover from disruptionshttps://www.weforum.org/reports/
Interpretation
Sustainability & Risk Interpretation
In the Sustainability and Risk lens, cybersecurity is driving major real-world losses with $2.7 billion from manufacturing downtime in 2023, while supply chains in 2024 take about 5.0 days on average to recover after disruptions, underscoring how resilience gaps can turn sustainability risks into costly operational setbacks.
report visual · Comparison
Global manufacturing impacts: emissions, energy, and growth
Manufacturing’s footprint shows up strongly in energy and emissions, while output growth remains positive year-over-year.
46% of global industrial CO2 emissions are attributable to industry, including manufacturing, measured as share of total46%
20% of total global energy consumption comes from industry (manufacturing is a major component), measured as share of fi20%
4.4% average annual growth rate for global industrial robots market during 2024-2028 forecast, measured as CAGR4.4%
3.1% year-over-year increase in global manufacturing output in 2024Q2, measured as IHS Markit/industry-tracked manufactu3.1%
source-verifiediea.org · sixthtone.com · ifr.org2024
Reference
Cite This Report
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APA
Christopher Morgan. (2026, February 13). Global Manufacturing Statistics. Gitnux. https://gitnux.org/global-manufacturing-statistics
MLA
Christopher Morgan. "Global Manufacturing Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/global-manufacturing-statistics.
Chicago
Christopher Morgan. 2026. "Global Manufacturing Statistics." Gitnux. https://gitnux.org/global-manufacturing-statistics.
Sources & references
48 datasets cited across this report
+24 additional datasets cited (not shown individually)