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Industry Research
AI Predictive Maintenance Software Industry Research Report 2026
Market perspective
The global AI Predictive Maintenance Software market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the AI Predictive Maintenance Software market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the AI Predictive Maintenance Software market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the AI Predictive Maintenance Software market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of AI Predictive Maintenance Software include IBM, ABB, Augury, Uptake, CBC, Dingo, eMaint, Emerson and Fiix, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global AI Predictive Maintenance Software market in terms of revenue (US$ million) and, where applicable, service volume (K Units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/K Units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to AI Predictive Maintenance Software.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
AI Predictive Maintenance Software Market by Company
IBM
ABB
Augury
Uptake
CBC
Dingo
eMaint
Emerson
Fiix
GE Digital
Honeywell
I-care Group
Infor EAM
Knack
Llumin
MCGlobal Solutions
SAP
Siemens
AI Predictive Maintenance Software Segment by Type
Machine Learning-Based Software
Deep Learning-Based Software
Physical Model-Based Software
Digital Twin-Based Software
AI Predictive Maintenance Software Segment by Application
Industrial Manufacturing and Automation
Energy and Utilities
Transportation
Infrastructure and Building Management
Others
AI Predictive Maintenance Software Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI Predictive Maintenance Software market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI Predictive Maintenance Software and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI Predictive Maintenance Software.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of AI Predictive Maintenance Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Machine Learning-Based Software
- Deep Learning-Based Software
- Physical Model-Based Software
- Digital Twin-Based Software
Applications
- Industrial Manufacturing and Automation
- Energy and Utilities
- Transportation
- Infrastructure and Building Management
- Others
Companies covered
- IBM
- ABB
- Augury
- Uptake
- CBC
- Dingo
- eMaint
- Emerson
- Fiix
- GE Digital
- Honeywell
- I-care Group
- Infor EAM
- Knack
- Llumin
- MCGlobal Solutions
- SAP
- Siemens
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 AI Predictive Maintenance Software by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Machine Learning-Based Software
- 2.2.3 Deep Learning-Based Software
- 2.2.4 Physical Model-Based Software
- 2.2.5 Digital Twin-Based Software
- 2.3 AI Predictive Maintenance Software by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Industrial Manufacturing and Automation
- 2.3.3 Energy and Utilities
- 2.3.4 Transportation
- 2.3.5 Infrastructure and Building Management
- 2.3.6 Others
- 2.4 Assumptions and Limitations
3 AI Predictive Maintenance Software Breakdown Data by Type
- 3.1 Global AI Predictive Maintenance Software Historic Market Size by Type (2021-2026)
- 3.2 Global AI Predictive Maintenance Software Forecasted Market Size by Type (2027-2032)
4 AI Predictive Maintenance Software Breakdown Data by Application
- 4.1 Global AI Predictive Maintenance Software Historic Market Size by Application (2021-2026)
- 4.2 Global AI Predictive Maintenance Software Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global AI Predictive Maintenance Software Market Perspective (2021-2032)
- 5.2 Global AI Predictive Maintenance Software Growth Trends by Region
- 5.2.1 Global AI Predictive Maintenance Software Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 AI Predictive Maintenance Software Historic Market Size by Region (2021-2026)
- 5.2.3 AI Predictive Maintenance Software Forecasted Market Size by Region (2027-2032)
- 5.3 AI Predictive Maintenance Software Market Dynamics
- 5.3.1 AI Predictive Maintenance Software Industry Trends
- 5.3.2 AI Predictive Maintenance Software Market Drivers
- 5.3.3 AI Predictive Maintenance Software Market Challenges
- 5.3.4 AI Predictive Maintenance Software Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top AI Predictive Maintenance Software Players by Revenue
- 6.1.1 Global Top AI Predictive Maintenance Software Players by Revenue (2021-2026)
- 6.1.2 Global AI Predictive Maintenance Software Revenue Market Share by Players (2021-2026)
- 6.2 Global AI Predictive Maintenance Software Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of AI Predictive Maintenance Software Head Office and Area Served
- 6.4 Global AI Predictive Maintenance Software Players, Product Type & Application
- 6.5 Global AI Predictive Maintenance Software Manufacturers Established Date
- 6.6 Global AI Predictive Maintenance Software Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America AI Predictive Maintenance Software Market Size (2021-2032)
- 7.2 North America AI Predictive Maintenance Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America AI Predictive Maintenance Software Market Size by Country (2021-2026)
- 7.4 North America AI Predictive Maintenance Software Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe AI Predictive Maintenance Software Market Size (2021-2032)
- 8.2 Europe AI Predictive Maintenance Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe AI Predictive Maintenance Software Market Size by Country (2021-2026)
- 8.4 Europe AI Predictive Maintenance Software Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific AI Predictive Maintenance Software Market Size (2021-2032)
- 9.2 Asia-Pacific AI Predictive Maintenance Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific AI Predictive Maintenance Software Market Size by Country (2021-2026)
- 9.4 Asia-Pacific AI Predictive Maintenance Software Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America AI Predictive Maintenance Software Market Size (2021-2032)
- 10.2 South America AI Predictive Maintenance Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America AI Predictive Maintenance Software Market Size by Country (2021-2026)
- 10.4 South America AI Predictive Maintenance Software Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa AI Predictive Maintenance Software Market Size (2021-2032)
- 11.2 Middle East & Africa AI Predictive Maintenance Software Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa AI Predictive Maintenance Software Market Size by Country (2021-2026)
- 11.4 Middle East & Africa AI Predictive Maintenance Software Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 IBM
- 12.1.1 IBM Company Information
- 12.1.2 IBM Business Overview
- 12.1.3 IBM Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.1.4 IBM AI Predictive Maintenance Software Product Portfolio
- 12.1.5 IBM Recent Developments
- 12.2 ABB
- 12.2.1 ABB Company Information
- 12.2.2 ABB Business Overview
- 12.2.3 ABB Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.2.4 ABB AI Predictive Maintenance Software Product Portfolio
- 12.2.5 ABB Recent Developments
- 12.3 Augury
- 12.3.1 Augury Company Information
- 12.3.2 Augury Business Overview
- 12.3.3 Augury Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.3.4 Augury AI Predictive Maintenance Software Product Portfolio
- 12.3.5 Augury Recent Developments
- 12.4 Uptake
- 12.4.1 Uptake Company Information
- 12.4.2 Uptake Business Overview
- 12.4.3 Uptake Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.4.4 Uptake AI Predictive Maintenance Software Product Portfolio
- 12.4.5 Uptake Recent Developments
- 12.5 CBC
- 12.5.1 CBC Company Information
- 12.5.2 CBC Business Overview
- 12.5.3 CBC Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.5.4 CBC AI Predictive Maintenance Software Product Portfolio
- 12.5.5 CBC Recent Developments
- 12.6 Dingo
- 12.6.1 Dingo Company Information
- 12.6.2 Dingo Business Overview
- 12.6.3 Dingo Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.6.4 Dingo AI Predictive Maintenance Software Product Portfolio
- 12.6.5 Dingo Recent Developments
- 12.7 eMaint
- 12.7.1 eMaint Company Information
- 12.7.2 eMaint Business Overview
- 12.7.3 eMaint Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.7.4 eMaint AI Predictive Maintenance Software Product Portfolio
- 12.7.5 eMaint Recent Developments
- 12.8 Emerson
- 12.8.1 Emerson Company Information
- 12.8.2 Emerson Business Overview
- 12.8.3 Emerson Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.8.4 Emerson AI Predictive Maintenance Software Product Portfolio
- 12.8.5 Emerson Recent Developments
- 12.9 Fiix
- 12.9.1 Fiix Company Information
- 12.9.2 Fiix Business Overview
- 12.9.3 Fiix Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.9.4 Fiix AI Predictive Maintenance Software Product Portfolio
- 12.9.5 Fiix Recent Developments
- 12.10 GE Digital
- 12.10.1 GE Digital Company Information
- 12.10.2 GE Digital Business Overview
- 12.10.3 GE Digital Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.10.4 GE Digital AI Predictive Maintenance Software Product Portfolio
- 12.10.5 GE Digital Recent Developments
- 12.11 Honeywell
- 12.11.1 Honeywell Company Information
- 12.11.2 Honeywell Business Overview
- 12.11.3 Honeywell Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.11.4 Honeywell AI Predictive Maintenance Software Product Portfolio
- 12.11.5 Honeywell Recent Developments
- 12.12 I-care Group
- 12.12.1 I-care Group Company Information
- 12.12.2 I-care Group Business Overview
- 12.12.3 I-care Group Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.12.4 I-care Group AI Predictive Maintenance Software Product Portfolio
- 12.12.5 I-care Group Recent Developments
- 12.13 Infor EAM
- 12.13.1 Infor EAM Company Information
- 12.13.2 Infor EAM Business Overview
- 12.13.3 Infor EAM Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.13.4 Infor EAM AI Predictive Maintenance Software Product Portfolio
- 12.13.5 Infor EAM Recent Developments
- 12.14 Knack
- 12.14.1 Knack Company Information
- 12.14.2 Knack Business Overview
- 12.14.3 Knack Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.14.4 Knack AI Predictive Maintenance Software Product Portfolio
- 12.14.5 Knack Recent Developments
- 12.15 Llumin
- 12.15.1 Llumin Company Information
- 12.15.2 Llumin Business Overview
- 12.15.3 Llumin Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.15.4 Llumin AI Predictive Maintenance Software Product Portfolio
- 12.15.5 Llumin Recent Developments
- 12.16 MCGlobal Solutions
- 12.16.1 MCGlobal Solutions Company Information
- 12.16.2 MCGlobal Solutions Business Overview
- 12.16.3 MCGlobal Solutions Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.16.4 MCGlobal Solutions AI Predictive Maintenance Software Product Portfolio
- 12.16.5 MCGlobal Solutions Recent Developments
- 12.17 SAP
- 12.17.1 SAP Company Information
- 12.17.2 SAP Business Overview
- 12.17.3 SAP Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.17.4 SAP AI Predictive Maintenance Software Product Portfolio
- 12.17.5 SAP Recent Developments
- 12.18 Siemens
- 12.18.1 Siemens Company Information
- 12.18.2 Siemens Business Overview
- 12.18.3 Siemens Revenue in AI Predictive Maintenance Software Business (2021-2026)
- 12.18.4 Siemens AI Predictive Maintenance Software Product Portfolio
- 12.18.5 Siemens Recent Developments
13 Report Conclusion
14 Disclaimer
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