Global AI-driven Predictive Maintenance Market Research Report 2024

Publication ID:

PB504242967

Publication Date:

April 12, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global AI-driven Predictive Maintenance market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for AI-driven Predictive Maintenance is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for AI-driven Predictive Maintenance is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for AI-driven Predictive Maintenance in Automotive & Transportation is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of AI-driven Predictive Maintenance include DB E.C.O. Group, Radix Engineering and Software, machinestalk, KCF Technologies, Inc., Infinite Uptime, OCP Maintenance Solutions, Emprise Corporation, ONYX Insight, Gastops, PROGNOST Systems GmbH, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI-driven Predictive Maintenance, 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 AI-driven Predictive Maintenance.
The AI-driven Predictive Maintenance market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI-driven Predictive Maintenance market comprehensively. Regional market sizes, concerning products by Type, by Application, and by 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 AI-driven Predictive Maintenance 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.
Market Segmentation
By Company
DB E.C.O. Group
Radix Engineering and Software
machinestalk
KCF Technologies, Inc.
Infinite Uptime
OCP Maintenance Solutions
Emprise Corporation
ONYX Insight
Gastops
PROGNOST Systems GmbH
Segment by Type
Integrated Solution
Standalone Solution
Segment by Application
Automotive & Transportation
Aerospace & Defense
Manufacturing
Healthcare
Telecommunications
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 AI-driven Predictive Maintenance company 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 main companies in the market in detail, including product sales, revenue, price, 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 Market Analysis by Type
1.2.1 Global AI-driven Predictive Maintenance Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Integrated Solution
1.2.3 Standalone Solution
1.3 Market by Application
1.3.1 Global AI-driven Predictive Maintenance Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Automotive & Transportation
1.3.3 Aerospace & Defense
1.3.4 Manufacturing
1.3.5 Healthcare
1.3.6 Telecommunications
1.3.7 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI-driven Predictive Maintenance Market Perspective (2019-2030)
2.2 Global AI-driven Predictive Maintenance Growth Trends by Region
2.2.1 Global AI-driven Predictive Maintenance Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI-driven Predictive Maintenance Historic Market Size by Region (2019-2024)
2.2.3 AI-driven Predictive Maintenance Forecasted Market Size by Region (2025-2030)
2.3 AI-driven Predictive Maintenance Market Dynamics
2.3.1 AI-driven Predictive Maintenance Industry Trends
2.3.2 AI-driven Predictive Maintenance Market Drivers
2.3.3 AI-driven Predictive Maintenance Market Challenges
2.3.4 AI-driven Predictive Maintenance Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-driven Predictive Maintenance Players by Revenue
3.1.1 Global Top AI-driven Predictive Maintenance Players by Revenue (2019-2024)
3.1.2 Global AI-driven Predictive Maintenance Revenue Market Share by Players (2019-2024)
3.2 Global AI-driven Predictive Maintenance Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI-driven Predictive Maintenance Revenue
3.4 Global AI-driven Predictive Maintenance Market Concentration Ratio
3.4.1 Global AI-driven Predictive Maintenance Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-driven Predictive Maintenance Revenue in 2023
3.5 Global Key Players of AI-driven Predictive Maintenance Head office and Area Served
3.6 Global Key Players of AI-driven Predictive Maintenance, Product and Application
3.7 Global Key Players of AI-driven Predictive Maintenance, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI-driven Predictive Maintenance Breakdown Data by Type
4.1 Global AI-driven Predictive Maintenance Historic Market Size by Type (2019-2024)
4.2 Global AI-driven Predictive Maintenance Forecasted Market Size by Type (2025-2030)
5 AI-driven Predictive Maintenance Breakdown Data by Application
5.1 Global AI-driven Predictive Maintenance Historic Market Size by Application (2019-2024)
5.2 Global AI-driven Predictive Maintenance Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI-driven Predictive Maintenance Market Size (2019-2030)
6.2 North America AI-driven Predictive Maintenance Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI-driven Predictive Maintenance Market Size by Country (2019-2024)
6.4 North America AI-driven Predictive Maintenance Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-driven Predictive Maintenance Market Size (2019-2030)
7.2 Europe AI-driven Predictive Maintenance Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI-driven Predictive Maintenance Market Size by Country (2019-2024)
7.4 Europe AI-driven Predictive Maintenance Market Size by Country (2025-2030)
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 AI-driven Predictive Maintenance Market Size (2019-2030)
8.2 Asia-Pacific AI-driven Predictive Maintenance Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI-driven Predictive Maintenance Market Size by Region (2019-2024)
8.4 Asia-Pacific AI-driven Predictive Maintenance Market Size by Region (2025-2030)
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 AI-driven Predictive Maintenance Market Size (2019-2030)
9.2 Latin America AI-driven Predictive Maintenance Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI-driven Predictive Maintenance Market Size by Country (2019-2024)
9.4 Latin America AI-driven Predictive Maintenance Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-driven Predictive Maintenance Market Size (2019-2030)
10.2 Middle East & Africa AI-driven Predictive Maintenance Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI-driven Predictive Maintenance Market Size by Country (2019-2024)
10.4 Middle East & Africa AI-driven Predictive Maintenance Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 DB E.C.O. Group
11.1.1 DB E.C.O. Group Company Details
11.1.2 DB E.C.O. Group Business Overview
11.1.3 DB E.C.O. Group AI-driven Predictive Maintenance Introduction
11.1.4 DB E.C.O. Group Revenue in AI-driven Predictive Maintenance Business (2019-2024)
11.1.5 DB E.C.O. Group Recent Development
11.2 Radix Engineering and Software
11.2.1 Radix Engineering and Software Company Details
11.2.2 Radix Engineering and Software Business Overview
11.2.3 Radix Engineering and Software AI-driven Predictive Maintenance Introduction
11.2.4 Radix Engineering and Software Revenue in AI-driven Predictive Maintenance Business (2019-2024)
11.2.5 Radix Engineering and Software Recent Development
11.3 machinestalk
11.3.1 machinestalk Company Details
11.3.2 machinestalk Business Overview
11.3.3 machinestalk AI-driven Predictive Maintenance Introduction
11.3.4 machinestalk Revenue in AI-driven Predictive Maintenance Business (2019-2024)
11.3.5 machinestalk Recent Development
11.4 KCF Technologies, Inc.
11.4.1 KCF Technologies, Inc. Company Details
11.4.2 KCF Technologies, Inc. Business Overview
11.4.3 KCF Technologies, Inc. AI-driven Predictive Maintenance Introduction
11.4.4 KCF Technologies, Inc. Revenue in AI-driven Predictive Maintenance Business (2019-2024)
11.4.5 KCF Technologies, Inc. Recent Development
11.5 Infinite Uptime
11.5.1 Infinite Uptime Company Details
11.5.2 Infinite Uptime Business Overview
11.5.3 Infinite Uptime AI-driven Predictive Maintenance Introduction
11.5.4 Infinite Uptime Revenue in AI-driven Predictive Maintenance Business (2019-2024)
11.5.5 Infinite Uptime Recent Development
11.6 OCP Maintenance Solutions
11.6.1 OCP Maintenance Solutions Company Details
11.6.2 OCP Maintenance Solutions Business Overview
11.6.3 OCP Maintenance Solutions AI-driven Predictive Maintenance Introduction
11.6.4 OCP Maintenance Solutions Revenue in AI-driven Predictive Maintenance Business (2019-2024)
11.6.5 OCP Maintenance Solutions Recent Development
11.7 Emprise Corporation
11.7.1 Emprise Corporation Company Details
11.7.2 Emprise Corporation Business Overview
11.7.3 Emprise Corporation AI-driven Predictive Maintenance Introduction
11.7.4 Emprise Corporation Revenue in AI-driven Predictive Maintenance Business (2019-2024)
11.7.5 Emprise Corporation Recent Development
11.8 ONYX Insight
11.8.1 ONYX Insight Company Details
11.8.2 ONYX Insight Business Overview
11.8.3 ONYX Insight AI-driven Predictive Maintenance Introduction
11.8.4 ONYX Insight Revenue in AI-driven Predictive Maintenance Business (2019-2024)
11.8.5 ONYX Insight Recent Development
11.9 Gastops
11.9.1 Gastops Company Details
11.9.2 Gastops Business Overview
11.9.3 Gastops AI-driven Predictive Maintenance Introduction
11.9.4 Gastops Revenue in AI-driven Predictive Maintenance Business (2019-2024)
11.9.5 Gastops Recent Development
11.10 PROGNOST Systems GmbH
11.10.1 PROGNOST Systems GmbH Company Details
11.10.2 PROGNOST Systems GmbH Business Overview
11.10.3 PROGNOST Systems GmbH AI-driven Predictive Maintenance Introduction
11.10.4 PROGNOST Systems GmbH Revenue in AI-driven Predictive Maintenance Business (2019-2024)
11.10.5 PROGNOST Systems GmbH Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

DB E.C.O. Group
Radix Engineering and Software
machinestalk
KCF Technologies, Inc.
Infinite Uptime
OCP Maintenance Solutions
Emprise Corporation
ONYX Insight
Gastops
PROGNOST Systems GmbH

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