Overall Equipment Effectiveness Software Market Size and Outlook 2031

Report Description

Forecast Period	2027-2031
Market Size (2025)	USD 73.91 Billion
CAGR (2026-2031)	12.01%
Fastest Growing Segment	Cloud ERP
Largest Market	Asia Pacific
Market Size (2031)	USD 145.96 Billion

Market Overview

The Global Overall Equipment Effectiveness Software Market will grow from USD 73.91 Billion in 2025 to USD 145.96 Billion by 2031 at a 12.01% CAGR. Overall Equipment Effectiveness (OEE) software is a specialized digital solution designed to monitor, analyze, and visualize manufacturing productivity by tracking equipment availability, performance efficiency, and quality rates. The market is primarily supported by the intensifying industrial demand for operational transparency, the imperative to minimize costly unplanned downtime, and the widespread adoption of Industry 4.0 technologies to maximize asset utilization. This drive for digital optimization is critical as manufacturers face severe resource constraints; for instance, according to 'Make UK', in '2025', 'the manufacturing sector is losing an estimated £4 billion in output every year due to unfilled vacancies', underscoring the necessity for automated efficiency tools.

However, a significant challenge impeding market expansion is the technical complexity associated with integrating modern OEE solutions into legacy operational technology environments. Many manufacturing facilities continue to rely on aging infrastructure that lacks native connectivity, necessitating expensive hardware retrofits and specialized customization that can deter investment. These integration hurdles, combined with the high initial capital expenditure required to modernize plant floors, create substantial barriers to entry for enterprises attempting to digitize their production lines.

Key Market Drivers

Accelerated adoption of Industry 4.0 and smart manufacturing technologies is fundamentally reshaping the Global Overall Equipment Effectiveness Software Market. As manufacturers digitize production lines, the integration of IoT sensors and machine learning algorithms into OEE platforms becomes essential for synchronizing complex workflows. This digital maturity allows facilities to transition from reactive monitoring to predictive optimization, ensuring that equipment data is not siloed but leveraged for holistic plant performance. Consequently, the software is evolving from simple tracking tools into central hubs for factory intelligence. The scale of this technological shift is evident in recent industry surveys; according to Rockwell Automation, March 2024, in the '9th Annual State of Smart Manufacturing Report', 95% of manufacturers are now using or evaluating smart manufacturing technologies, representing a significant increase in the addressable market for advanced OEE tools.

The necessity for cost reduction and maximized asset utilization acts as a critical financial catalyst for OEE software investment. In an environment characterized by inflation and supply chain volatility, the financial impact of unplanned downtime has grown severe, compelling enterprises to deploy software that can precisely identify availability losses and performance bottlenecks. By utilizing OEE systems to pinpoint root causes of stoppages, companies can protect margins and recover lost production time. The urgency of this issue is highlighted by the sheer magnitude of losses; according to Siemens, July 2024, in 'The True Cost of Downtime 2024' report, the world's 500 largest companies lose approximately $1.4 trillion annually due to unplanned downtime, roughly equivalent to 11% of their total revenues. Furthermore, this drive for efficiency is reflected in strategic priorities, as according to Fictiv, in 2024, improving manufacturing and supply chain visibility remained the top priority for 54% of industry leaders.

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Key Market Challenges

The primary impediment to the growth of the Global Overall Equipment Effectiveness (OEE) Software Market is the technical complexity involved in integrating advanced digital tools with legacy operational technology. A substantial portion of the manufacturing sector operates on aging infrastructure that was not engineered for real-time data exchange. Consequently, deploying OEE software often necessitates extensive hardware retrofits and custom middleware to bridge the gap between analog machinery and digital platforms. This requirement drastically increases the initial capital expenditure and extends the return on investment timeline, causing enterprises to hesitate regarding modernization initiatives.

The persistence of these non-connected environments creates a severe data acquisition bottleneck that hinders software adoption. According to the 'National Association of Manufacturers', in '2025', '70% of manufacturers still collect data manually', revealing the extent of the connectivity gap that OEE providers must overcome. This heavy reliance on manual processes and the lack of native machine-to-machine communication mean that implementation is rarely a seamless experience. As a result, the high barrier to entry caused by these integration hurdles continues to restrict market expansion, particularly among facilities lacking the resources to overhaul their existing production floors.

Key Market Trends

The shift toward cloud-based and Software as a Service (SaaS) deployment models is fundamentally altering how manufacturers access and utilize Overall Equipment Effectiveness (OEE) platforms. Traditionally, OEE solutions required substantial on-premise infrastructure, demanding significant upfront capital investment and ongoing maintenance from internal IT teams. However, the market is rapidly pivoting toward SaaS architectures that offer scalability, remote accessibility, and lower barriers to entry, enabling facilities to deploy monitoring tools without expensive hardware retrofits. This transition is largely driven by the financial efficiency of the cloud model; according to GE Vernova, July 2025, in the 'How Cloud MES Software Helps Optimize Manufacturing' article, deploying cloud-based manufacturing execution and monitoring solutions can help manufacturers reduce their total cost of ownership by up to 30% compared to traditional on-premises implementations.

Simultaneously, the incorporation of energy management and sustainability metrics into OEE calculations is becoming a critical requirement for modern industrial enterprises. As global regulatory pressures and energy costs rise, manufacturers are no longer viewing productivity in isolation but are integrating energy consumption data directly with performance metrics to track "energy per unit" produced. This convergence allows operators to identify energy-intensive processes and correlation between equipment waste and carbon footprint, effectively treating energy as a direct production input that must be optimized alongside availability and quality. The urgency of this focus is reflected in recent industry sentiment; according to Honeywell, August 2025, in the 'Environmental Sustainability Index', 87% of surveyed organizations cited improving energy usage as a top priority commitment across their operations.

Segmental Insights

The Cloud ERP segment is currently positioning itself as the fastest-growing category within the Global Overall Equipment Effectiveness Software Market due to the increasing demand for centralized data management and operational scalability. Manufacturers are prioritizing this deployment model to significantly reduce the capital expenditures and maintenance burdens associated with traditional on-premise hardware. Furthermore, cloud-based solutions facilitate real-time visibility into machine performance across geographically dispersed facilities, allowing for standardized reporting and immediate corrective actions. This capability supports the seamless integration of production data, thereby enabling organizations to improve asset utilization without the constraints of rigid legacy infrastructure.

Regional Insights

Asia Pacific dominates the Global Overall Equipment Effectiveness Software Market, primarily driven by its established status as a global manufacturing hub. The region benefits from the aggressive adoption of Industry 4.0 technologies and industrial automation across key economies like China, Japan, and India. Manufacturers in the automotive and electronics sectors extensively utilize these software solutions to minimize downtime and optimize asset performance. Furthermore, supportive government frameworks promoting digital transformation, such as the Made in China 2025 initiative, accelerate the integration of smart factory tools. This sustained focus on operational efficiency secures the region's leading market position.

Recent Developments

In June 2024, Honeywell announced the launch of its Battery Manufacturing Excellence Platform (Battery MXP), an artificial intelligence-powered software solution specifically engineered for the optimization of gigafactories. The platform was designed to address high material scrap rates and lengthy startup periods common in battery cell production. By utilizing machine learning to detect and remediate quality issues in real-time, the software aimed to reduce startup material waste by up to 60 percent and accelerate production ramp-up. This launch underscored the company's commitment to supporting the global energy transition by providing automation tools that enhance the efficiency and profitability of lithium-ion battery manufacturing.
In June 2024, Rockwell Automation announced an expanded collaboration with NVIDIA to integrate advanced artificial intelligence into industrial robotics and automation systems. The partnership focused on utilizing the NVIDIA Isaac robotics platform to develop smarter and safer autonomous mobile robots (AMRs) for manufacturing logistics. This initiative aimed to improve performance and efficiency in industrial factories by leveraging AI-driven perception and navigation capabilities. Additionally, the collaboration involved integrating digital twin technologies to facilitate the design, simulation, and operation of large-scale production systems, enabling manufacturers to visualize and optimize their processes within a photorealistic virtual environment before physical deployment.
In April 2024, AVEVA launched a new hybrid cloud approach for its Manufacturing Execution System (MES) solution to enhance operational efficiency in the global manufacturing sector. This release allowed manufacturers to manage production data more effectively by combining model-driven MES capabilities at the edge with cloud-based analytics and visualization services. The solution was designed to overcome the challenges of siloed data in distributed plants, offering enterprise-wide visibility and supply chain agility. By utilizing artificial intelligence and machine learning within a secure cloud environment, the platform enabled companies to optimize performance, reduce waste, and improve sustainability metrics across their production networks.
In March 2024, Emerson announced a significant evolution in its industrial software strategy by transitioning its DeltaV brand into the DeltaV Automation Platform. This comprehensive ecosystem was expanded to include Manufacturing Execution Systems (MES), Supervisory Control and Data Acquisition (SCADA), and operations management software, alongside its traditional distributed control and safety systems. The strategic shift was part of the company's "Boundless Automation" vision, designed to help industrial manufacturers manage complex data and operations more seamlessly. By integrating these critical functions, the platform aimed to support improved throughput, quality, and sustainability across industries such as life sciences, chemicals, and energy.

Key Market Players

Rockwell Automation, Inc.
ROCKWELL AUTOMATION, INC.
Schneider Electric SE
ABB Group
Emerson Electric Co.
GENERAL ELECTRIC COMPANY
Honeywell International, Inc.
Koch Industries
Sisense, Inc.
Evocon OÜ

By Offering	By Deployment Mode	By Type	By Industry	By Region
Software Services	On-premises Cloud	SCADA Cloud ERP Predictive Maintenance Data Historian	Automotive Healthcare Power	North America Europe Asia Pacific South America Middle East & Africa

Report Scope:

In this report, the Global Overall Equipment Effectiveness Software Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Overall Equipment Effectiveness Software Market, By Offering:

Software
Services

Overall Equipment Effectiveness Software Market, By Deployment Mode:

On-premises
Cloud

Overall Equipment Effectiveness Software Market, By Type:

SCADA
Cloud ERP
Predictive Maintenance
Data Historian

Overall Equipment Effectiveness Software Market, By Industry:

Automotive
Healthcare
Power

Overall Equipment Effectiveness Software Market, By Region:

North America

United States
Canada
Mexico

Europe

France
United Kingdom
Italy
Germany
Spain

Asia Pacific

China
India
Japan
Australia
South Korea

South America

Brazil
Argentina
Colombia

Middle East & Africa

South Africa
Saudi Arabia
UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Overall Equipment Effectiveness Software Market.

Available Customizations:

Global Overall Equipment Effectiveness Software Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

Global Overall Equipment Effectiveness Software Market is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at [email protected]

Table of content

1. Product Overview

1.1. Market Definition

1.2. Scope of the Market

1.2.1. Markets Covered

1.2.2. Years Considered for Study

1.2.3. Key Market Segmentations

2. Research Methodology

2.1. Objective of the Study

2.2. Baseline Methodology

2.3. Key Industry Partners

2.4. Major Association and Secondary Sources

2.5. Forecasting Methodology

2.6. Data Triangulation & Validation

2.7. Assumptions and Limitations

3. Executive Summary

3.1. Overview of the Market

3.2. Overview of Key Market Segmentations

3.3. Overview of Key Market Players

3.4. Overview of Key Regions/Countries

3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Overall Equipment Effectiveness Software Market Outlook

5.1. Market Size & Forecast

5.1.1. By Value

5.2. Market Share & Forecast

5.2.1. By Offering (Software, Services)

5.2.2. By Deployment Mode (On-premises, Cloud)

5.2.3. By Type (SCADA, Cloud ERP, Predictive Maintenance, Data Historian)

5.2.4. By Industry (Automotive, Healthcare, Power)

5.2.5. By Region

5.2.6. By Company (2025)

5.3. Market Map

6. North America Overall Equipment Effectiveness Software Market Outlook

6.1. Market Size & Forecast

6.1.1. By Value

6.2. Market Share & Forecast

6.2.1. By Offering

6.2.2. By Deployment Mode

6.2.3. By Type

6.2.4. By Industry

6.2.5. By Country

6.3. North America: Country Analysis

6.3.1. United States Overall Equipment Effectiveness Software Market Outlook

6.3.1.1. Market Size & Forecast

6.3.1.1.1. By Value

6.3.1.2. Market Share & Forecast

6.3.1.2.1. By Offering

6.3.1.2.2. By Deployment Mode

6.3.1.2.3. By Type

6.3.1.2.4. By Industry

6.3.2. Canada Overall Equipment Effectiveness Software Market Outlook

6.3.2.1. Market Size & Forecast

6.3.2.1.1. By Value

6.3.2.2. Market Share & Forecast

6.3.2.2.1. By Offering

6.3.2.2.2. By Deployment Mode

6.3.2.2.3. By Type

6.3.2.2.4. By Industry

6.3.3. Mexico Overall Equipment Effectiveness Software Market Outlook

6.3.3.1. Market Size & Forecast

6.3.3.1.1. By Value

6.3.3.2. Market Share & Forecast

6.3.3.2.1. By Offering

6.3.3.2.2. By Deployment Mode

6.3.3.2.3. By Type

6.3.3.2.4. By Industry

7. Europe Overall Equipment Effectiveness Software Market Outlook

7.1. Market Size & Forecast

7.1.1. By Value

7.2. Market Share & Forecast

7.2.1. By Offering

7.2.2. By Deployment Mode

7.2.3. By Type

7.2.4. By Industry

7.2.5. By Country

7.3. Europe: Country Analysis

7.3.1. Germany Overall Equipment Effectiveness Software Market Outlook

7.3.1.1. Market Size & Forecast

7.3.1.1.1. By Value

7.3.1.2. Market Share & Forecast

7.3.1.2.1. By Offering

7.3.1.2.2. By Deployment Mode

7.3.1.2.3. By Type

7.3.1.2.4. By Industry

7.3.2. France Overall Equipment Effectiveness Software Market Outlook

7.3.2.1. Market Size & Forecast

7.3.2.1.1. By Value

7.3.2.2. Market Share & Forecast

7.3.2.2.1. By Offering

7.3.2.2.2. By Deployment Mode

7.3.2.2.3. By Type

7.3.2.2.4. By Industry

7.3.3. United Kingdom Overall Equipment Effectiveness Software Market Outlook

7.3.3.1. Market Size & Forecast

7.3.3.1.1. By Value

7.3.3.2. Market Share & Forecast

7.3.3.2.1. By Offering

7.3.3.2.2. By Deployment Mode

7.3.3.2.3. By Type

7.3.3.2.4. By Industry

7.3.4. Italy Overall Equipment Effectiveness Software Market Outlook

7.3.4.1. Market Size & Forecast

7.3.4.1.1. By Value

7.3.4.2. Market Share & Forecast

7.3.4.2.1. By Offering

7.3.4.2.2. By Deployment Mode

7.3.4.2.3. By Type

7.3.4.2.4. By Industry

7.3.5. Spain Overall Equipment Effectiveness Software Market Outlook

7.3.5.1. Market Size & Forecast

7.3.5.1.1. By Value

7.3.5.2. Market Share & Forecast

7.3.5.2.1. By Offering

7.3.5.2.2. By Deployment Mode

7.3.5.2.3. By Type

7.3.5.2.4. By Industry

8. Asia Pacific Overall Equipment Effectiveness Software Market Outlook

8.1. Market Size & Forecast

8.1.1. By Value

8.2. Market Share & Forecast

8.2.1. By Offering

8.2.2. By Deployment Mode

8.2.3. By Type

8.2.4. By Industry

8.2.5. By Country

8.3. Asia Pacific: Country Analysis

8.3.1. China Overall Equipment Effectiveness Software Market Outlook

8.3.1.1. Market Size & Forecast

8.3.1.1.1. By Value

8.3.1.2. Market Share & Forecast

8.3.1.2.1. By Offering

8.3.1.2.2. By Deployment Mode

8.3.1.2.3. By Type

8.3.1.2.4. By Industry

8.3.2. India Overall Equipment Effectiveness Software Market Outlook

8.3.2.1. Market Size & Forecast

8.3.2.1.1. By Value

8.3.2.2. Market Share & Forecast

8.3.2.2.1. By Offering

8.3.2.2.2. By Deployment Mode

8.3.2.2.3. By Type

8.3.2.2.4. By Industry

8.3.3. Japan Overall Equipment Effectiveness Software Market Outlook

8.3.3.1. Market Size & Forecast

8.3.3.1.1. By Value

8.3.3.2. Market Share & Forecast

8.3.3.2.1. By Offering

8.3.3.2.2. By Deployment Mode

8.3.3.2.3. By Type

8.3.3.2.4. By Industry

8.3.4. South Korea Overall Equipment Effectiveness Software Market Outlook

8.3.4.1. Market Size & Forecast

8.3.4.1.1. By Value

8.3.4.2. Market Share & Forecast

8.3.4.2.1. By Offering

8.3.4.2.2. By Deployment Mode

8.3.4.2.3. By Type

8.3.4.2.4. By Industry

8.3.5. Australia Overall Equipment Effectiveness Software Market Outlook

8.3.5.1. Market Size & Forecast

8.3.5.1.1. By Value

8.3.5.2. Market Share & Forecast

8.3.5.2.1. By Offering

8.3.5.2.2. By Deployment Mode

8.3.5.2.3. By Type

8.3.5.2.4. By Industry

9. Middle East & Africa Overall Equipment Effectiveness Software Market Outlook

9.1. Market Size & Forecast

9.1.1. By Value

9.2. Market Share & Forecast

9.2.1. By Offering

9.2.2. By Deployment Mode

9.2.3. By Type

9.2.4. By Industry

9.2.5. By Country

9.3. Middle East & Africa: Country Analysis

9.3.1. Saudi Arabia Overall Equipment Effectiveness Software Market Outlook

9.3.1.1. Market Size & Forecast

9.3.1.1.1. By Value

9.3.1.2. Market Share & Forecast

9.3.1.2.1. By Offering

9.3.1.2.2. By Deployment Mode

9.3.1.2.3. By Type

9.3.1.2.4. By Industry

9.3.2. UAE Overall Equipment Effectiveness Software Market Outlook

9.3.2.1. Market Size & Forecast

9.3.2.1.1. By Value

9.3.2.2. Market Share & Forecast

9.3.2.2.1. By Offering

9.3.2.2.2. By Deployment Mode

9.3.2.2.3. By Type

9.3.2.2.4. By Industry

9.3.3. South Africa Overall Equipment Effectiveness Software Market Outlook

9.3.3.1. Market Size & Forecast

9.3.3.1.1. By Value

9.3.3.2. Market Share & Forecast

9.3.3.2.1. By Offering

9.3.3.2.2. By Deployment Mode

9.3.3.2.3. By Type

9.3.3.2.4. By Industry

10. South America Overall Equipment Effectiveness Software Market Outlook

10.1. Market Size & Forecast

10.1.1. By Value

10.2. Market Share & Forecast

10.2.1. By Offering

10.2.2. By Deployment Mode

10.2.3. By Type

10.2.4. By Industry

10.2.5. By Country

10.3. South America: Country Analysis

10.3.1. Brazil Overall Equipment Effectiveness Software Market Outlook

10.3.1.1. Market Size & Forecast

10.3.1.1.1. By Value

10.3.1.2. Market Share & Forecast

10.3.1.2.1. By Offering

10.3.1.2.2. By Deployment Mode

10.3.1.2.3. By Type

10.3.1.2.4. By Industry

10.3.2. Colombia Overall Equipment Effectiveness Software Market Outlook

10.3.2.1. Market Size & Forecast

10.3.2.1.1. By Value

10.3.2.2. Market Share & Forecast

10.3.2.2.1. By Offering

10.3.2.2.2. By Deployment Mode

10.3.2.2.3. By Type

10.3.2.2.4. By Industry

10.3.3. Argentina Overall Equipment Effectiveness Software Market Outlook

10.3.3.1. Market Size & Forecast

10.3.3.1.1. By Value

10.3.3.2. Market Share & Forecast

10.3.3.2.1. By Offering

10.3.3.2.2. By Deployment Mode

10.3.3.2.3. By Type

10.3.3.2.4. By Industry

11. Market Dynamics

11.1. Drivers

11.2. Challenges

12. Market Trends & Developments

12.1. Merger & Acquisition (If Any)

12.2. Product Launches (If Any)

12.3. Recent Developments

13. Global Overall Equipment Effectiveness Software Market: SWOT Analysis

14. Porter's Five Forces Analysis

14.1. Competition in the Industry

14.2. Potential of New Entrants

14.3. Power of Suppliers

14.4. Power of Customers

14.5. Threat of Substitute Products

15. Competitive Landscape

15.1. Rockwell Automation, Inc.

15.1.1. Business Overview

15.1.2. Products & Services

15.1.3. Recent Developments

15.1.4. Key Personnel

15.1.5. SWOT Analysis

15.2. ROCKWELL AUTOMATION, INC.

15.3. Schneider Electric SE

15.4. ABB Group

15.5. Emerson Electric Co.

15.6. GENERAL ELECTRIC COMPANY

15.7. Honeywell International, Inc.

15.8. Koch Industries

15.9. Sisense, Inc.

15.10. Evocon OÜ

16. Strategic Recommendations

17. About Us & Disclaimer

Report Description

Table of content

Figures and Tables

Frequently asked questions

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