Global Predictive Maintenance In Manufacturing Market Overview And Scope:
Global Predictive Maintenance In Manufacturing Market Size was estimated at USD 6426.66 million in 2022 and is projected to reach USD 22284.83 million by 2028, exhibiting a CAGR of 23.03% during the forecast period.
The Global Predictive Maintenance In Manufacturing Market Report 2025 provides comprehensive analysis of market development components, patterns, flows, and sizes. This research study of Predictive Maintenance In Manufacturing utilized both primary and secondary data sources to calculate present and past market values to forecast potential market management for the forecast period between 2025 and 2032. It includes the study of a wide range of industry parameters, including government policies, market environments, competitive landscape, historical data, current market trends, technological innovations, upcoming technologies, and technological progress within related industries. Additionally, the report provides an in-depth analysis of the value chain and supply chain to demonstrate how value is added at every stage in the product lifecycle. The study incorporates market dynamics such as drivers, restraints/challenges, trends, and their impact on the market.
Top Key Players Mentioned Are: IBM, Microsoft, SAP, GE Digital, Schneider, Hitachi, Siemens, Intel, RapidMiner, Rockwell Automation, Software AG, Cisco, Bosch.IO, C3.ai, Dell, Augury Systems, Senseye, T-Systems International, TIBCO Software, Fiix, Uptake, Sigma Industrial Precision, Dingo, Huawei, ABB, AVEVA, SAS
Global Predictive Maintenance In Manufacturing Market Segmentation
By Type, Predictive Maintenance In Manufacturing market has been segmented into:Cloud Based
On-premises
By Application, Predictive Maintenance In Manufacturing market has been segmented into:
Industrial and Manufacturing
Transportation and Logistics
Energy and Utilities
Healthcare and Life Sciences
Education and Government
Others
Regional Analysis:
North America (U.S., Canada, Mexico)
Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
Competitive Landscape:
Competitive analysis is the study of strength and weakness, market investment, market share, market sales volume, market trends of major players in the market.The Predictive Maintenance In Manufacturing market study focused on including all the primary level, secondary level and tertiary level competitors in the report. The data generated by conducting the primary and secondary research.The report covers detail analysis of driver, constraints and scope for new players entering the Predictive Maintenance In Manufacturing market.
Top Key Players Covered in Predictive Maintenance In Manufacturing market are:
IBM
Microsoft
SAP
GE Digital
Schneider
Hitachi
Siemens
Intel
RapidMiner
Rockwell Automation
Software AG
Cisco
Bosch.IO
C3.ai
Dell
Augury Systems
Senseye
T-Systems International
TIBCO Software
Fiix
Uptake
Sigma Industrial Precision
Dingo
Huawei
ABB
AVEVA
SAS
Objective to buy this Report:
1. Predictive Maintenance In Manufacturing analysis predicts the representation of this market, supply and demand, capacity, detailed investigations, etc.
2. Even the report, along with the international series, conducts an in-depth study of rules, policies and current policy.
3. In addition, additional factors are mentioned: imports, arrangement of commodity prices for the market, supply and demand of industry products, major manufacturers.
4. The report starts with Predictive Maintenance In Manufacturing market statistics and moves to important points, with dependent markets categorized by market trend by application.
5. Applications of market may also be assessed based on their performances.
6. Other market attributes, such as future aspects, limitations and growth for all departments.
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Type
3.2 By Application
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: Predictive Maintenance In Manufacturing Market by Type
5.1 Predictive Maintenance In Manufacturing Market Overview Snapshot and Growth Engine
5.2 Predictive Maintenance In Manufacturing Market Overview
5.3 Cloud Based
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2017-2032F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 Cloud Based: Geographic Segmentation
5.4 On-premises
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2017-2032F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 On-premises: Geographic Segmentation
Chapter 6: Predictive Maintenance In Manufacturing Market by Application
6.1 Predictive Maintenance In Manufacturing Market Overview Snapshot and Growth Engine
6.2 Predictive Maintenance In Manufacturing Market Overview
6.3 Industrial and Manufacturing
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size (2017-2032F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 Industrial and Manufacturing: Geographic Segmentation
6.4 Transportation and Logistics
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size (2017-2032F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 Transportation and Logistics: Geographic Segmentation
6.5 Energy and Utilities
6.5.1 Introduction and Market Overview
6.5.2 Historic and Forecasted Market Size (2017-2032F)
6.5.3 Key Market Trends, Growth Factors and Opportunities
6.5.4 Energy and Utilities: Geographic Segmentation
6.6 Healthcare and Life Sciences
6.6.1 Introduction and Market Overview
6.6.2 Historic and Forecasted Market Size (2017-2032F)
6.6.3 Key Market Trends, Growth Factors and Opportunities
6.6.4 Healthcare and Life Sciences: Geographic Segmentation
6.7 Education and Government
6.7.1 Introduction and Market Overview
6.7.2 Historic and Forecasted Market Size (2017-2032F)
6.7.3 Key Market Trends, Growth Factors and Opportunities
6.7.4 Education and Government: Geographic Segmentation
6.8 Others
6.8.1 Introduction and Market Overview
6.8.2 Historic and Forecasted Market Size (2017-2032F)
6.8.3 Key Market Trends, Growth Factors and Opportunities
6.8.4 Others: Geographic Segmentation
Chapter 7: Company Profiles and Competitive Analysis
7.1 Competitive Landscape
7.1.1 Competitive Positioning
7.1.2 Predictive Maintenance In Manufacturing Sales and Market Share By Players
7.1.3 Industry BCG Matrix
7.1.4 Heat Map Analysis
7.1.5 Predictive Maintenance In Manufacturing Industry Concentration Ratio (CR5 and HHI)
7.1.6 Top 5 Predictive Maintenance In Manufacturing Players Market Share
7.1.7 Mergers and Acquisitions
7.1.8 Business Strategies By Top Players
7.2 IBM
7.2.1 Company Overview
7.2.2 Key Executives
7.2.3 Company Snapshot
7.2.4 Operating Business Segments
7.2.5 Product Portfolio
7.2.6 Business Performance
7.2.7 Key Strategic Moves and Recent Developments
7.2.8 SWOT Analysis
7.3 MICROSOFT
7.4 SAP
7.5 GE DIGITAL
7.6 SCHNEIDER
7.7 HITACHI
7.8 SIEMENS
7.9 INTEL
7.10 RAPIDMINER
7.11 ROCKWELL AUTOMATION
7.12 SOFTWARE AG
7.13 CISCO
7.14 BOSCH.IO
7.15 C3.AI
7.16 DELL
7.17 AUGURY SYSTEMS
7.18 SENSEYE
7.19 T-SYSTEMS INTERNATIONAL
7.20 TIBCO SOFTWARE
7.21 FIIX
7.22 UPTAKE
7.23 SIGMA INDUSTRIAL PRECISION
7.24 DINGO
7.25 HUAWEI
7.26 ABB
7.27 AVEVA
7.28 SAS
Chapter 8: Global Predictive Maintenance In Manufacturing Market Analysis, Insights and Forecast, 2017-2032
8.1 Market Overview
8.2 Historic and Forecasted Market Size By Type
8.2.1 Cloud Based
8.2.2 On-premises
8.3 Historic and Forecasted Market Size By Application
8.3.1 Industrial and Manufacturing
8.3.2 Transportation and Logistics
8.3.3 Energy and Utilities
8.3.4 Healthcare and Life Sciences
8.3.5 Education and Government
8.3.6 Others
Chapter 9: North America Predictive Maintenance In Manufacturing Market Analysis, Insights and Forecast, 2017-2032
9.1 Key Market Trends, Growth Factors and Opportunities
9.2 Impact of Covid-19
9.3 Key Players
9.4 Key Market Trends, Growth Factors and Opportunities
9.4 Historic and Forecasted Market Size By Type
9.4.1 Cloud Based
9.4.2 On-premises
9.5 Historic and Forecasted Market Size By Application
9.5.1 Industrial and Manufacturing
9.5.2 Transportation and Logistics
9.5.3 Energy and Utilities
9.5.4 Healthcare and Life Sciences
9.5.5 Education and Government
9.5.6 Others
9.6 Historic and Forecast Market Size by Country
9.6.1 US
9.6.2 Canada
9.6.3 Mexico
Chapter 10: Eastern Europe Predictive Maintenance In Manufacturing Market Analysis, Insights and Forecast, 2017-2032
10.1 Key Market Trends, Growth Factors and Opportunities
10.2 Impact of Covid-19
10.3 Key Players
10.4 Key Market Trends, Growth Factors and Opportunities
10.4 Historic and Forecasted Market Size By Type
10.4.1 Cloud Based
10.4.2 On-premises
10.5 Historic and Forecasted Market Size By Application
10.5.1 Industrial and Manufacturing
10.5.2 Transportation and Logistics
10.5.3 Energy and Utilities
10.5.4 Healthcare and Life Sciences
10.5.5 Education and Government
10.5.6 Others
10.6 Historic and Forecast Market Size by Country
10.6.1 Bulgaria
10.6.2 The Czech Republic
10.6.3 Hungary
10.6.4 Poland
10.6.5 Romania
10.6.6 Rest of Eastern Europe
Chapter 11: Western Europe Predictive Maintenance In Manufacturing Market Analysis, Insights and Forecast, 2017-2032
11.1 Key Market Trends, Growth Factors and Opportunities
11.2 Impact of Covid-19
11.3 Key Players
11.4 Key Market Trends, Growth Factors and Opportunities
11.4 Historic and Forecasted Market Size By Type
11.4.1 Cloud Based
11.4.2 On-premises
11.5 Historic and Forecasted Market Size By Application
11.5.1 Industrial and Manufacturing
11.5.2 Transportation and Logistics
11.5.3 Energy and Utilities
11.5.4 Healthcare and Life Sciences
11.5.5 Education and Government
11.5.6 Others
11.6 Historic and Forecast Market Size by Country
11.6.1 Germany
11.6.2 UK
11.6.3 France
11.6.4 Netherlands
11.6.5 Italy
11.6.6 Russia
11.6.7 Spain
11.6.8 Rest of Western Europe
Chapter 12: Asia Pacific Predictive Maintenance In Manufacturing Market Analysis, Insights and Forecast, 2017-2032
12.1 Key Market Trends, Growth Factors and Opportunities
12.2 Impact of Covid-19
12.3 Key Players
12.4 Key Market Trends, Growth Factors and Opportunities
12.4 Historic and Forecasted Market Size By Type
12.4.1 Cloud Based
12.4.2 On-premises
12.5 Historic and Forecasted Market Size By Application
12.5.1 Industrial and Manufacturing
12.5.2 Transportation and Logistics
12.5.3 Energy and Utilities
12.5.4 Healthcare and Life Sciences
12.5.5 Education and Government
12.5.6 Others
12.6 Historic and Forecast Market Size by Country
12.6.1 China
12.6.2 India
12.6.3 Japan
12.6.4 South Korea
12.6.5 Malaysia
12.6.6 Thailand
12.6.7 Vietnam
12.6.8 The Philippines
12.6.9 Australia
12.6.10 New Zealand
12.6.11 Rest of APAC
Chapter 13: Middle East & Africa Predictive Maintenance In Manufacturing Market Analysis, Insights and Forecast, 2017-2032
13.1 Key Market Trends, Growth Factors and Opportunities
13.2 Impact of Covid-19
13.3 Key Players
13.4 Key Market Trends, Growth Factors and Opportunities
13.4 Historic and Forecasted Market Size By Type
13.4.1 Cloud Based
13.4.2 On-premises
13.5 Historic and Forecasted Market Size By Application
13.5.1 Industrial and Manufacturing
13.5.2 Transportation and Logistics
13.5.3 Energy and Utilities
13.5.4 Healthcare and Life Sciences
13.5.5 Education and Government
13.5.6 Others
13.6 Historic and Forecast Market Size by Country
13.6.1 Turkey
13.6.2 Bahrain
13.6.3 Kuwait
13.6.4 Saudi Arabia
13.6.5 Qatar
13.6.6 UAE
13.6.7 Israel
13.6.8 South Africa
Chapter 14: South America Predictive Maintenance In Manufacturing Market Analysis, Insights and Forecast, 2017-2032
14.1 Key Market Trends, Growth Factors and Opportunities
14.2 Impact of Covid-19
14.3 Key Players
14.4 Key Market Trends, Growth Factors and Opportunities
14.4 Historic and Forecasted Market Size By Type
14.4.1 Cloud Based
14.4.2 On-premises
14.5 Historic and Forecasted Market Size By Application
14.5.1 Industrial and Manufacturing
14.5.2 Transportation and Logistics
14.5.3 Energy and Utilities
14.5.4 Healthcare and Life Sciences
14.5.5 Education and Government
14.5.6 Others
14.6 Historic and Forecast Market Size by Country
14.6.1 Brazil
14.6.2 Argentina
14.6.3 Rest of SA
Chapter 15 Investment Analysis
Chapter 16 Analyst Viewpoint and Conclusion
Predictive Maintenance In Manufacturing Scope:
|
Report Data
|
Predictive Maintenance In Manufacturing Market
|
|
Predictive Maintenance In Manufacturing Market Size in 2025
|
USD XX million
|
|
Predictive Maintenance In Manufacturing CAGR 2025 - 2032
|
XX%
|
|
Predictive Maintenance In Manufacturing Base Year
|
2024
|
|
Predictive Maintenance In Manufacturing Forecast Data
|
2025 - 2032
|
|
Segments Covered
|
By Type, By Application, And by Regions
|
|
Regional Scope
|
North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
|
|
Key Companies Profiled
|
IBM, Microsoft, SAP, GE Digital, Schneider, Hitachi, Siemens, Intel, RapidMiner, Rockwell Automation, Software AG, Cisco, Bosch.IO, C3.ai, Dell, Augury Systems, Senseye, T-Systems International, TIBCO Software, Fiix, Uptake, Sigma Industrial Precision, Dingo, Huawei, ABB, AVEVA, SAS.
|
|
Key Segments
|
By Type
Cloud Based
On-premises
By Applications
Industrial and Manufacturing
Transportation and Logistics
Energy and Utilities
Healthcare and Life Sciences
Education and Government
Others
|
