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Predictive Maintenance Market by Component (Services, Solutions), Deployment (On-Cloud, On-Premise), End-User - Global Forecast 2024-2030

Publisher 360iResearch
Published Apr 17, 2024
Length 190 Pages
SKU # IRE18713561

Description

Predictive Maintenance Market by Component (Services, Solutions), Deployment (On-Cloud, On-Premise), End-User - Global Forecast 2024-2030


The Predictive Maintenance Market size was estimated at USD 10.64 billion in 2023 and expected to reach USD 13.09 billion in 2024, at a CAGR 24.02% to reach USD 48.07 billion by 2030.

Predictive maintenance involves using intelligent connected technologies to predict and prevent equipment downtime due to failures. The operating condition of critical plant systems is obtained using the most cost-effective methods, such as vibration monitoring, thermography, and tribology, and all maintenance activities are then scheduled based on this actual data as needed. Predictive maintenance optimizes the availability of process equipment and significantly lowers maintenance costs when incorporated into an extensive maintenance management program. Increasing spending on automating and mechanizing industrial processes with Industry 4.0, coupled with rising safety standards enforced by governments in different countries, encourages predictive maintenance. Real-time monitoring and asset-tracking technologies are also being continuously deployed. On the contrary, high costs and complexity of integration and execution, and concern over data security and privacy, impedes their adoption. However, AI, IoT, and inspection technology integration to improve predictive maintenance and digital twin-based predictive maintenance systems' emergence and development are expected to proliferate their utilization in the coming years.



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Table of Contents

190 Pages
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Rising investments in mechanizing and automating production lines with Industry 4.0
5.1.1.2. Ongoing deployment of asset tracking and real-time monitoring technologies
5.1.1.3. Increasing safety regulations imposed by government agencies across economies
5.1.2. Restraints
5.1.2.1. Complexities and costs associated with integration and implementation
5.1.3. Opportunities
5.1.3.1. Improvements in predictive maintenance through integration of AI, IoT, and inspection technologies
5.1.3.2. Emergence and development of digital twin-based predictive maintenance systems
5.1.4. Challenges
5.1.4.1. Concerns looming around data security and privacy
5.2. Market Segmentation Analysis
5.2.1. Component: Rising demand for predictive maintenance solutions due to their ability to significantly reduce unexpected machinery breakdowns
5.2.2. End-User: Rising adoption in the automotive & transportation sector to ensure vehicles and transport systems operate efficiently and safely.
5.3. Market Disruption Analysis
5.4. Porter’s Five Forces Analysis
5.4.1. Threat of New Entrants
5.4.2. Threat of Substitutes
5.4.3. Bargaining Power of Customers
5.4.4. Bargaining Power of Suppliers
5.4.5. Industry Rivalry
5.5. Value Chain & Critical Path Analysis
5.6. Pricing Analysis
5.7. Technology Analysis
5.8. Patent Analysis
5.9. Trade Analysis
5.10. Regulatory Framework Analysis
6. Predictive Maintenance Market, by Component
6.1. Introduction
6.2. Services
6.3. Solutions
7. Predictive Maintenance Market, by Deployment
7.1. Introduction
7.2. On-Cloud
7.3. On-Premise
8. Predictive Maintenance Market, by End-User
8.1. Introduction
8.2. Aerospace & Defense
8.3. Automotive & Transportation
8.4. Banking, Financial Services & Insurance
8.5. Building, Construction & Real Estate
8.6. Consumer Goods & Retail
8.7. Education
8.8. Energy & Utilities
8.9. Government & Public Sector
8.10. Healthcare & Life Sciences
8.11. Information Technology & Telecommunication
8.12. Manufacturing
8.13. Media & Entertainment
8.14. Travel & Hospitality
9. Americas Predictive Maintenance Market
9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States
10. Asia-Pacific Predictive Maintenance Market
10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam
11. Europe, Middle East & Africa Predictive Maintenance Market
11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom
12. Competitive Landscape
12.1. Market Share Analysis, 2023
12.2. FPNV Positioning Matrix, 2023
12.3. Competitive Scenario Analysis
12.3.1. Infineon Technologies AG partnered with Aurora Labs to bring a new level of safety to predictive maintenance applications for vehicles
12.3.2. ONYX Insight Expands Advanced Predictive Maintenance Solutions to Enhance bp Wind Energy's U.S. Operations
12.3.3. Aperia Expands Halo Connect for Superior Real-Time Equipment Monitoring"
"
12.3.4. Stratio and Freeway Transport's Partnership Enhances Efficiency through Predictive Maintenance
12.3.5. SKFAcquired Presenso, Revolutionizing Predictive Maintenance for Reduced Downtime and Costs
12.3.6. Modelon and iQuant's Digital Twin Solutions Propel Predictive Maintenance
12.3.7. Schaeffler Enhances Predictive Maintenance Capabilities through Strategic Acquisition of Eco-Adapt
12.3.8. Viking Analytics Secures Euro 3 Million in Series A Funding to Fuel Global Expansion
12.3.9. Paprima Industries' Launched IoT-Based Predictive Program to Revolutionize Maintenance Tasks
12.4. Strategy Analysis & Recommendation
13. Competitive Portfolio
13.1. Key Company Profiles
13.2. Key Product Portfolio
FIGURE 1. PREDICTIVE MAINTENANCE MARKET RESEARCH PROCESS
FIGURE 2. PREDICTIVE MAINTENANCE MARKET SIZE, 2023 VS 2030
FIGURE 3. GLOBAL PREDICTIVE MAINTENANCE MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. GLOBAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2023 VS 2030 (%)
FIGURE 5. GLOBAL PREDICTIVE MAINTENANCE MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. PREDICTIVE MAINTENANCE MARKET DYNAMICS
FIGURE 7. GLOBAL PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
FIGURE 8. GLOBAL PREDICTIVE MAINTENANCE MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 9. GLOBAL PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
FIGURE 10. GLOBAL PREDICTIVE MAINTENANCE MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 11. GLOBAL PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
FIGURE 12. GLOBAL PREDICTIVE MAINTENANCE MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 13. AMERICAS PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 14. AMERICAS PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 15. UNITED STATES PREDICTIVE MAINTENANCE MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 16. UNITED STATES PREDICTIVE MAINTENANCE MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 17. ASIA-PACIFIC PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 18. ASIA-PACIFIC PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 19. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 20. EUROPE, MIDDLE EAST & AFRICA PREDICTIVE MAINTENANCE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 21. PREDICTIVE MAINTENANCE MARKET SHARE, BY KEY PLAYER, 2023
FIGURE 22. PREDICTIVE MAINTENANCE MARKET, FPNV POSITIONING MATRIX, 2023

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