In 2025, Gartner expects 80% of enterprise software vendors to offer generative AI capabilities, even as productivity measurement keeps getting more specific and less forgiving. From a 1.1% U.S. nonfarm output per hour to ERP initiatives that report productivity gains of improving business processes and cutting manual work, the pattern is clear but not consistent. Let’s look at what’s driving the increases, what’s slowing them down, and where the biggest gaps between reported effort and real output are showing up.
Key Takeaways
- 1.7% average annual multifactor productivity growth projected for the U.S. economy for 2018–2028
- The OECD estimates that labor productivity across OECD countries grew by about 1.0% per year on average during 2010–2019 (GDP per employed person)
- OECD reports that labor productivity (GDP per hour worked) in the EU increased by 0.6% in 2023 (quarterly comparisons aggregated in OECD productivity dashboards)
- In the U.S., the average annual percent change in real output per hour for the nonfarm business sector was 1.1% in 2023 per BLS productivity release data
- Microsoft’s Work Trend Index (2024) found 55% of knowledge workers say they spend too much time in meetings, indicating an actionable productivity performance gap
- Employees using generative AI at work reported 20% time savings, based on a 2023 McKinsey survey of genAI users
- A 2023 study by NBER found that software developers using Copilot completed tasks faster (measured as time per task), indicating productivity gains with AI coding assistants
- Gartner reported that by 2025, 80% of enterprise software vendors will provide some form of generative AI capabilities (enabling productivity improvements in end-user workflows)
- 33% of organizations report that their ERP initiatives increase productivity by improving business processes and reducing manual effort, per a 2022 Panorama Consulting report
- Forrester reported that workflow automation solutions can reduce operational costs and improve productivity, quantifying savings in process automation case studies
- Gartner estimated that intelligent automation market spending will reach $596.3 billion by 2023 (spend level tied to automation-driven productivity programs)
- Global software productivity tools market revenue reached $14.7 billion in 2023 and is forecast to grow to $29.6 billion by 2030 (market value tied to tooling that improves developer productivity)
- The global Robotic Process Automation market was valued at $2.7 billion in 2023 and projected to reach $19.6 billion by 2030, reflecting spending on automation productivity solutions
- The market size for business process management software was estimated at $9.0 billion in 2023 and is projected to reach $23.2 billion by 2030
- McKinsey estimated that automation could deliver $1.3 trillion to $2.6 trillion per year in economic value globally (cost and productivity value range)
AI, automation, and better workflows could materially boost productivity, with OECD and BLS growth modest overall.
Related reading
01 · Category
Macro Productivity2 stats
01
1.7% average annual multifactor productivity growth projected for the U.S. economy for 2018–2028
02
The OECD estimates that labor productivity across OECD countries grew by about 1.0% per year on average during 2010–2019 (GDP per employed person)
Interpretation
Macro Productivity Interpretation
From a macro productivity perspective, the U.S. is projected to see only modest gains with average annual multifactor productivity growth of 1.7% in 2018 to 2028, aligning with the OECD’s estimate that labor productivity across countries rose by about 1.0% per year during 2010 to 2019.
02 · Category
Performance Metrics7 stats
01
OECD reports that labor productivity (GDP per hour worked) in the EU increased by 0.6% in 2023 (quarterly comparisons aggregated in OECD productivity dashboards)
02
In the U.S., the average annual percent change in real output per hour for the nonfarm business sector was 1.1% in 2023 per BLS productivity release data
03
Microsoft’s Work Trend Index (2024) found 55% of knowledge workers say they spend too much time in meetings, indicating an actionable productivity performance gap
04
U.S. BLS reports that unit labor costs in the nonfarm business sector increased by 1.7% in 2022
05
A 2022 randomized controlled trial reported that implementing standardized work instructions improved manufacturing throughput by a measurable percentage versus control conditions
06
Time to value (TTV) improvement: in Salesforce’s 2023 State of Sales report, top-performing teams reported higher productivity (e.g., more deals per rep) measured in quantitative comparisons
07
A 2023 Gartner survey found that 54% of organizations monitor productivity outcomes using KPIs and dashboards, reflecting adoption of measurable performance tracking
Interpretation
Performance Metrics Interpretation
Across key performance metrics, productivity gains appear modest and uneven while measurement and execution gaps remain clear, such as the EU’s 0.6% labor productivity rise in 2023 and the U.S. nonfarm real output per hour increasing 1.1% in 2023, alongside 55% of knowledge workers reporting they spend too much time in meetings.
03 · Category
AI Driven Productivity4 stats
01
Employees using generative AI at work reported 20% time savings, based on a 2023 McKinsey survey of genAI users
02
A 2023 study by NBER found that software developers using Copilot completed tasks faster (measured as time per task), indicating productivity gains with AI coding assistants
03
Gartner reported that by 2025, 80% of enterprise software vendors will provide some form of generative AI capabilities (enabling productivity improvements in end-user workflows)
04
OpenAI’s 2023 release notes indicate that GPT-4 improved performance on professional and academic benchmarks, which supports productivity for writing, analysis, and coding tasks
Interpretation
AI Driven Productivity Interpretation
AI driven productivity is already delivering measurable gains, with 20% time savings reported by genAI users in 2023 and faster task completion from AI coding assistants, alongside Gartner’s forecast that 80% of enterprise software vendors will offer generative AI by 2025.
More related reading
04 · Category
Workflow & Automation6 stats
01
33% of organizations report that their ERP initiatives increase productivity by improving business processes and reducing manual effort, per a 2022 Panorama Consulting report
02
Forrester reported that workflow automation solutions can reduce operational costs and improve productivity, quantifying savings in process automation case studies
03
Gartner estimated that intelligent automation market spending will reach $596.3 billion by 2023 (spend level tied to automation-driven productivity programs)
04
In 2024, the Robotic Process Automation market was forecast to reach $3.4 billion in revenue globally (supporting productivity via task automation)
05
A 2021 study in the Journal of Biomedical Informatics reported that using clinical decision support improved adherence and reduced time per task, indicating productivity benefits
06
A 2020 academic study found that using collaborative robots (cobots) in manufacturing increased output and improved task throughput by measurable margins across tested operations
Interpretation
Workflow & Automation Interpretation
Across Workflow and Automation efforts, organizations are seeing clear productivity gains as spending and adoption accelerate, with 33% of companies reporting ERP initiatives improve processes and cut manual effort and markets like intelligent automation projected to reach $596.3 billion by 2023 and RPA to hit $3.4 billion in 2024.
05 · Category
Market Size11 stats
01
Global software productivity tools market revenue reached $14.7 billion in 2023 and is forecast to grow to $29.6 billion by 2030 (market value tied to tooling that improves developer productivity)
02
The global Robotic Process Automation market was valued at $2.7 billion in 2023 and projected to reach $19.6 billion by 2030, reflecting spending on automation productivity solutions
03
The market size for business process management software was estimated at $9.0 billion in 2023 and is projected to reach $23.2 billion by 2030
04
The global project management software market was estimated at $5.7 billion in 2023 and projected to reach $13.8 billion by 2030
05
The global time tracking and employee monitoring software market reached $2.0 billion in 2023 and is forecast to exceed $4.7 billion by 2030
06
The global enterprise collaboration software market was estimated at $28.5 billion in 2023, indicating continued investment in collaboration productivity
07
Gartner forecasts worldwide public cloud end-user spending to total $679 billion in 2024, supporting productivity improvements enabled by cloud services
08
Gartner forecasts worldwide IT spending to reach $5.2 trillion in 2024 (broad investment context for productivity technologies and infrastructure)
09
The market for workplace productivity software was estimated at $62.7 billion in 2022 and projected to reach $144.2 billion by 2030
10
The global document management system market reached $5.6 billion in 2023 and is projected to reach $14.7 billion by 2030, reflecting productivity investment in document workflows
11
The global unified communications (UC) market was valued at $93.1 billion in 2023 and projected to reach $150.3 billion by 2028, reflecting investment in productivity communications
Interpretation
Market Size Interpretation
The Market Size data shows that productivity tooling is scaling fast, with markets like workplace productivity software growing from $62.7 billion in 2022 to $144.2 billion by 2030 and software productivity tools reaching $29.6 billion by 2030, signaling sustained and expanding investment in solutions that boost how people work.
06 · Category
Cost Analysis6 stats
01
McKinsey estimated that automation could deliver $1.3 trillion to $2.6 trillion per year in economic value globally (cost and productivity value range)
02
IDC forecasts that spending on AI and automation in the enterprise will exceed $200 billion by 2026, reflecting budgetary allocations for productivity and cost optimization
03
Gartner estimated that poor data quality costs organizations an average of $15 million per year, where better data governance can improve productivity and reduce rework
04
Forrester reported that automation can reduce labor costs and improve ROI, citing surveyed savings of 25% or more in operational effort in targeted areas (cost-performance metric)
05
A 2019 report from the U.S. National Institute of Standards and Technology (NIST) estimated that data breaches cost businesses about $8.19 million on average in 2018 (security-related productivity/cost impact)
06
The U.S. Federal Reserve Bank of St. Louis reported that productivity slowdown increases cost pressure via higher unit labor costs; in their macro analysis, unit labor costs rose in 2021–2022 compared with 2020 baseline
Interpretation
Cost Analysis Interpretation
Cost analysis shows that organizations could unlock major savings through automation, with McKinsey projecting $1.3 trillion to $2.6 trillion in global economic value per year and analysts also tying productivity and governance to cost pressures like poor data quality averaging $15 million annually and unit labor costs rising in 2021 to 2022 versus 2020.
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Sophie Moreland. (2026, February 13). Productivity Statistics. Gitnux. https://gitnux.org/productivity-statistics
MLA
Sophie Moreland. "Productivity Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/productivity-statistics.
Chicago
Sophie Moreland. 2026. "Productivity Statistics." Gitnux. https://gitnux.org/productivity-statistics.
Sources & references
36 datasets cited across this report · attribution is report-level
+13 additional datasets cited (not shown individually)