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Â鶹ԭ´´ > Predictive Maintenance Software Â鶹ԭ´´ Size, Competition and Demand Analysis Report #Insights

Predictive Maintenance Software Â鶹ԭ´´ Size, Competition and Demand Analysis Report #Insights

Publication ID: 
MRRPB5#127
Publication Date: 
February 8, 2023
Pages: 
92
Publisher: 
MRRPB5
Countries: 
Global [1]
USD 2,900.00

Please choose the suitable license type from above. More details are given under tab "Report License Types" below.

Computing & Electronics [2]
Artificial Intelligence [3]
Big Data [4]
IT Services [5]
Software [6]
Description: 

Predictive Maintenance Software is a type of computer program that uses data analytics and machine learning algorithms to predict equipment failures before they occur. This software is designed to monitor the performance of industrial equipment, such as machines, engines, and turbines, and to provide early warnings when signs of failure are detected.

Highlights
  • The global Predictive Maintenance Software market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
  • North American market for Predictive Maintenance Software is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
  • Asia-Pacific market for Predictive Maintenance Software is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
  • The global market for Predictive Maintenance Software in Small and Medium Enterprises (SMEs) is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
  • The key global companies of Predictive Maintenance Software include UpKeep, eMaint, Dude Solutions, Akamai, FTMaintenance, Maintenance Connection, ManagerPlus, Axxerion and AssetPoint, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
  • This report aims to provide a comprehensive presentation of the global market for Predictive Maintenance Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Predictive Maintenance Software.
  • The Predictive Maintenance Software market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Predictive Maintenance Software market comprehensively. Regional market sizes, concerning products by type, application, and players, are also provided.
  • For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
  • The report will help the Predictive Maintenance Software companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
  1. Ìý Ìý UpKeep
  2. Ìý Ìý eMaint
  3. Ìý Ìý Dude Solutions
  4. Ìý Ìý Akamai
  5. Ìý Ìý FTMaintenance
  6. Ìý Ìý Maintenance Connection
  7. Ìý Ìý ManagerPlus
  8. Ìý Ìý Axxerion
  9. Ìý Ìý AssetPoint
  10. Ìý Ìý Dematic Sprocket
  11. Ìý Ìý IFS Applications
  12. Ìý Ìý SSG Insight
Segment by Type
  • Ìý Ìý Cloud-based
  • Ìý Ìý On-premises
Segment by Application
  • Ìý Ìý Small and Medium Enterprises (SMEs)
  • Ìý Ìý Large Enterprises
By Region
Ìý Ìý North America
Ìý Ìý Ìý Ìý United States
Ìý Ìý Ìý Ìý Canada
Ìý Ìý Europe
Ìý Ìý Ìý Ìý Germany
Ìý Ìý Ìý Ìý France
Ìý Ìý Ìý Ìý UK
Ìý Ìý Ìý Ìý Italy
Ìý Ìý Ìý Ìý Russia
Ìý Ìý Ìý Ìý Nordic Countries
Ìý Ìý Ìý Ìý Rest of Europe
Ìý Ìý Asia-Pacific
Ìý Ìý Ìý Ìý China
Ìý Ìý Ìý Ìý Japan
Ìý Ìý Ìý Ìý South Korea
Ìý Ìý Ìý Ìý Southeast Asia
Ìý Ìý Ìý Ìý India
Ìý Ìý Ìý Ìý Australia
Ìý Ìý Ìý Ìý Rest of Asia
Ìý Ìý Latin America
Ìý Ìý Ìý Ìý Mexico
Ìý Ìý Ìý Ìý Brazil
Ìý Ìý Ìý Ìý Rest of Latin America
Ìý Ìý Middle East & Africa
Ìý Ìý Ìý Ìý Turkey
Ìý Ìý Ìý Ìý Saudi Arabia
Ìý Ìý Ìý Ìý UAE
Ìý Ìý Ìý Ìý Rest of MEA

Core Chapters
  • Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by 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 2: 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 3: Detailed analysis of Predictive Maintenance Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
  • Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
  • Chapter 5: Provides the analysis of various market segments by 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin 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 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
  • Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
Table Of Contents: 

1 Report Overview
1.1 Study Scope
1.2 Â鶹ԭ´´ Analysis by Type
1.2.1 Global Predictive Maintenance Software Â鶹ԭ´´ Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Cloud-based
1.2.3 On-premises
1.3 Â鶹ԭ´´ by Application
1.3.1 Global Predictive Maintenance Software Â鶹ԭ´´ Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Small and Medium Enterprises (SMEs)
1.3.3 Large Enterprises
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Predictive Maintenance Software Â鶹ԭ´´ Perspective (2018-2029)
2.2 Predictive Maintenance Software Growth Trends by Region
2.2.1 Global Predictive Maintenance Software Â鶹ԭ´´ Size by Region: 2018 VS 2022 VS 2029
2.2.2 Predictive Maintenance Software Historic Â鶹ԭ´´ Size by Region (2018-2023)
2.2.3 Predictive Maintenance Software Forecasted Â鶹ԭ´´ Size by Region (2024-2029)
2.3 Predictive Maintenance Software Â鶹ԭ´´ Dynamics
2.3.1 Predictive Maintenance Software Industry Trends
2.3.2 Predictive Maintenance Software Â鶹ԭ´´ Drivers
2.3.3 Predictive Maintenance Software Â鶹ԭ´´ Challenges
2.3.4 Predictive Maintenance Software Â鶹ԭ´´ Restraints
3 Competition Landscape by Key Players
3.1 Global Top Predictive Maintenance Software Players by Revenue
3.1.1 Global Top Predictive Maintenance Software Players by Revenue (2018-2023)
3.1.2 Global Predictive Maintenance Software Revenue Â鶹ԭ´´ Share by Players (2018-2023)
3.2 Global Predictive Maintenance Software Â鶹ԭ´´ Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Predictive Maintenance Software Revenue
3.4 Global Predictive Maintenance Software Â鶹ԭ´´ Concentration Ratio
3.4.1 Global Predictive Maintenance Software Â鶹ԭ´´ Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Predictive Maintenance Software Revenue in 2022
3.5 Predictive Maintenance Software Key Players Head office and Area Served
3.6 Key Players Predictive Maintenance Software Product Solution and Service
3.7 Date of Enter into Predictive Maintenance Software Â鶹ԭ´´
3.8 Mergers & Acquisitions, Expansion Plans
4 Predictive Maintenance Software Breakdown Data by Type
4.1 Global Predictive Maintenance Software Historic Â鶹ԭ´´ Size by Type (2018-2023)
4.2 Global Predictive Maintenance Software Forecasted Â鶹ԭ´´ Size by Type (2024-2029)
5 Predictive Maintenance Software Breakdown Data by Application
5.1 Global Predictive Maintenance Software Historic Â鶹ԭ´´ Size by Application (2018-2023)
5.2 Global Predictive Maintenance Software Forecasted Â鶹ԭ´´ Size by Application (2024-2029)
6 North America
6.1 North America Predictive Maintenance Software Â鶹ԭ´´ Size (2018-2029)
6.2 North America Predictive Maintenance Software Â鶹ԭ´´ Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Predictive Maintenance Software Â鶹ԭ´´ Size by Country (2018-2023)
6.4 North America Predictive Maintenance Software Â鶹ԭ´´ Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Predictive Maintenance Software Â鶹ԭ´´ Size (2018-2029)
7.2 Europe Predictive Maintenance Software Â鶹ԭ´´ Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Predictive Maintenance Software Â鶹ԭ´´ Size by Country (2018-2023)
7.4 Europe Predictive Maintenance Software Â鶹ԭ´´ Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Predictive Maintenance Software Â鶹ԭ´´ Size (2018-2029)
8.2 Asia-Pacific Predictive Maintenance Software Â鶹ԭ´´ Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Predictive Maintenance Software Â鶹ԭ´´ Size by Region (2018-2023)
8.4 Asia-Pacific Predictive Maintenance Software Â鶹ԭ´´ Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Predictive Maintenance Software Â鶹ԭ´´ Size (2018-2029)
9.2 Latin America Predictive Maintenance Software Â鶹ԭ´´ Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Predictive Maintenance Software Â鶹ԭ´´ Size by Country (2018-2023)
9.4 Latin America Predictive Maintenance Software Â鶹ԭ´´ Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Predictive Maintenance Software Â鶹ԭ´´ Size (2018-2029)
10.2 Middle East & Africa Predictive Maintenance Software Â鶹ԭ´´ Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Predictive Maintenance Software Â鶹ԭ´´ Size by Country (2018-2023)
10.4 Middle East & Africa Predictive Maintenance Software Â鶹ԭ´´ Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 UpKeep
11.1.1 UpKeep Company Detail
11.1.2 UpKeep Business Overview
11.1.3 UpKeep Predictive Maintenance Software Introduction
11.1.4 UpKeep Revenue in Predictive Maintenance Software Business (2018-2023)
11.1.5 UpKeep Recent Development
11.2 eMaint
11.2.1 eMaint Company Detail
11.2.2 eMaint Business Overview
11.2.3 eMaint Predictive Maintenance Software Introduction
11.2.4 eMaint Revenue in Predictive Maintenance Software Business (2018-2023)
11.2.5 eMaint Recent Development
11.3 Dude Solutions
11.3.1 Dude Solutions Company Detail
11.3.2 Dude Solutions Business Overview
11.3.3 Dude Solutions Predictive Maintenance Software Introduction
11.3.4 Dude Solutions Revenue in Predictive Maintenance Software Business (2018-2023)
11.3.5 Dude Solutions Recent Development
11.4 Akamai
11.4.1 Akamai Company Detail
11.4.2 Akamai Business Overview
11.4.3 Akamai Predictive Maintenance Software Introduction
11.4.4 Akamai Revenue in Predictive Maintenance Software Business (2018-2023)
11.4.5 Akamai Recent Development
11.5 FTMaintenance
11.5.1 FTMaintenance Company Detail
11.5.2 FTMaintenance Business Overview
11.5.3 FTMaintenance Predictive Maintenance Software Introduction
11.5.4 FTMaintenance Revenue in Predictive Maintenance Software Business (2018-2023)
11.5.5 FTMaintenance Recent Development
11.6 Maintenance Connection
11.6.1 Maintenance Connection Company Detail
11.6.2 Maintenance Connection Business Overview
11.6.3 Maintenance Connection Predictive Maintenance Software Introduction
11.6.4 Maintenance Connection Revenue in Predictive Maintenance Software Business (2018-2023)
11.6.5 Maintenance Connection Recent Development
11.7 ManagerPlus
11.7.1 ManagerPlus Company Detail
11.7.2 ManagerPlus Business Overview
11.7.3 ManagerPlus Predictive Maintenance Software Introduction
11.7.4 ManagerPlus Revenue in Predictive Maintenance Software Business (2018-2023)
11.7.5 ManagerPlus Recent Development
11.8 Axxerion
11.8.1 Axxerion Company Detail
11.8.2 Axxerion Business Overview
11.8.3 Axxerion Predictive Maintenance Software Introduction
11.8.4 Axxerion Revenue in Predictive Maintenance Software Business (2018-2023)
11.8.5 Axxerion Recent Development
11.9 AssetPoint
11.9.1 AssetPoint Company Detail
11.9.2 AssetPoint Business Overview
11.9.3 AssetPoint Predictive Maintenance Software Introduction
11.9.4 AssetPoint Revenue in Predictive Maintenance Software Business (2018-2023)
11.9.5 AssetPoint Recent Development
11.10 Dematic Sprocket
11.10.1 Dematic Sprocket Company Detail
11.10.2 Dematic Sprocket Business Overview
11.10.3 Dematic Sprocket Predictive Maintenance Software Introduction
11.10.4 Dematic Sprocket Revenue in Predictive Maintenance Software Business (2018-2023)
11.10.5 Dematic Sprocket Recent Development
11.11 IFS Applications
11.11.1 IFS Applications Company Detail
11.11.2 IFS Applications Business Overview
11.11.3 IFS Applications Predictive Maintenance Software Introduction
11.11.4 IFS Applications Revenue in Predictive Maintenance Software Business (2018-2023)
11.11.5 IFS Applications Recent Development
11.12 SSG Insight
11.12.1 SSG Insight Company Detail
11.12.2 SSG Insight Business Overview
11.12.3 SSG Insight Predictive Maintenance Software Introduction
11.12.4 SSG Insight Revenue in Predictive Maintenance Software Business (2018-2023)
11.12.5 SSG Insight Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned: 

UpKeep
eMaint
Dude Solutions
Akamai
FTMaintenance
Maintenance Connection
ManagerPlus
Axxerion
AssetPoint
Dematic Sprocket
IFS Applications
SSG Insight

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