Table of Content
1 INTRODUCTION
1.1 OBJECTIVE OF THE STUDY
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 MARKET SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 REGIONS COVERED
1.3.3 YEARS CONSIDERED FOR THE STUDY
1.4 CURRENCY CONSIDERED
1.5 STAKEHOLDERS
1.6 SUMMARY OF CHANGES
1.6.1 IMPACT OF RECESSION
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 KEY DATA FROM SECONDARY SOURCES
2.1.2 PRIMARY DATA
2.1.2.1 KEY DATA FROM PRIMARY SOURCES
2.1.2.2 KEY INDUSTRY INSIGHTS
2.1.2.3 BREAKDOWN OF PRIMARY INTERVIEWS
2.2 MARKET BREAKUP AND DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.2 TOP-DOWN APPROACH
2.4 MARKET FORECAST
2.5 ASSUMPTIONS FOR THE STUDY
2.6 LIMITATIONS OF THE STUDY
2.7 IMPACT OF RECESSION ON GLOBAL PREDICTIVE MAINTENANCE MARKET
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR COMPANIES IN THE PREDICTIVE MAINTENANCE MARKET
4.2 PREDICTIVE MAINTENANCE MARKET: TOP THREE TECHNIQUES
4.3 NORTH AMERICA: PREDICTIVE MAINTENANCE MARKET, BY COMPONENT AND TOP THREE VERTICALS
4.4 PREDICTIVE MAINTENANCE MARKET: BY REGION, 2024
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.2 RESTRAINTS
5.2.3 OPPORTUNITIES
5.2.4 CHALLENGES
5.3 INDUSTRY TRENDS
5.3.1 EVOLUTION OF PREDICTIVE MAINTENANCE MARKET
5.3.2 CASE STUDY ANALYSIS
5.3.3 ECOSYSTEM ANALYSIS
5.3.3 TECHNOLOGY ANALYSIS
5.3.1.1 KEY TECHNOLOGIES
5.3.1.1.1 ML
5.3.1.1.2 Big Data
5.3.1.2 ADJACENT TECHNOLOGIES
5.3.1.2.1 Edge computing
5.3.1.2.2 Digital Twins
5.3.1.2.2 Cloud Computing
5.3.1.2 COMPLEMENTARY TECHNOLOGIES
5.3.1.3.1 AR & VR
5.3.1.3.2 Blockchain
5.3.5 REGULATORY LANDSCAPE
5.3.5.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.3.5.1.1 North America
5.3.5.1.2 Europe
5.3.5.1.3 Asia Pacific
5.3.5.1.4 Middle East & Africa
5.3.5.1.5 Latin America
5.3.6 VALUE/SUPPLY CHAIN ANALYSIS
5.3.7 PORTER’S FIVE FORCES’ ANALYSIS
5.3.7.1 THREAT FROM NEW ENTRANTS
5.3.7.2 THREAT OF SUBSTITUTES
5.3.7.3 BARGAINING POWER OF SUPPLIERS
5.3.7.4 BARGAINING POWER OF BUYERS
5.3.7.5 INTENSITY OF COMPETITION RIVALRY
5.3.8 KEY CONFERENCES AND EVENTS IN 2024-2025
5.3.9 KEY STAKEHOLDERS AND BUYING CRITERIA
5.3.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.3.9.2 BUYING CRITERIA
5.3.10 TRADE ANALYSIS
5.3.10.1 IMPORT SCENARIO OF SENSORS
5.3.10.1 EXPORT SCENARIO OF SENSORS
5.3.11 PRICING ANALYSIS
5.3.11.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY OFFERING
5.3.11.2 INDICATIVE PRICING ANALYSIS, BY SERVICES
5.3.12 PATENT ANALYSIS
5.3.12.1 METHODOLOGY
5.3.12.2 PATENTS FILED, BY DOCUMENT TYPE
5.3.12.3 INNOVATION AND PATENT APPLICATIONS
5.3.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS
5.3.14 TECHNOLOGY ROADMAP OF PREDICTIVE MAINTENANCE MARKET
5.3.14.1 SHORT-TERM (1 – 5 Years)
5.3.14.2 LONG-TERM (5+ Years)
5.3.15 BUSINESS MODELS OF PREDICTIVE MAINTENANCE MARKET
5.3.16 INVESTMENT AND FUNDING SCENARIO
6 PREDICTIVE MAINTENANCE MARKET, BY COMPONENT
6.1 INTRODUCTION
6.1.1 COMPONENT: PREDICTIVE MAINTENANCE MARKET DRIVERS
6.2 HARDWARE
6.2 SOLUTIONS
6.2.1 INTEGRATED
6.2.2 STANDALONE
6.3 SOLUTIONS, BY DEPLOYMENT MODE
6.3.1 CLOUD
6.3.1.1 Public Cloud
6.3.1.2 Private Cloud
6.3.1.2 Hybrid Cloud
6.3.2 ON-PREMISES
6.3 SERVICES
6.3.1 PROFESSIONAL SERVICES
6.3.1.1 System Integration
6.3.1.2 Support and Maintenance
6.3.1.2 Consulting
6.3.2 MANAGED SERVICES
7 PREDICTIVE MAINTENANCE MARKET, BY TECHNOLOGY
7.1 INTRODUCTION
7.1.1 TECHNOLOGY: PREDICTIVE MAINTENANCE MARKET DRIVERS
7.2 INTERNET OF THINGS (IOT)
7.3 ANALYTICS & DATA MANAGEMENT
7.4 ARTIFICIAL INTELLIGENCE (AI)
7.5 SENSORS
8 PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE
8.1 INTRODUCTION
8.1.1 TECHNIQUE: PREDICTIVE MAINTENANCE MARKET DRIVERS
8.2 INFRARED THERMOGRAPHY
8.2.1 INSPECT ELECTRICAL CONNECTIONS AND SYSTEMS
8.2.2 ASSESS HEATING SYSTEMS
8.2.3 FLUID ANALYSIS
8.2.4 ANALYZE DISCHARGE PATTERNS
8.2.5 ROOF MAINTENANCE
8.2.6 OTHERS
8.3 MOTOR CIRCUIT ANALYSIS
8.3.1 ASSESS ENGINE DEGRADATION
8.3.2 SHAFT AND ROTOR ALIGNMENT
8.3.3 INSULATION EVALUATION
8.3.4 GEAR ASSESSMENT
8.3.5 SCAN FOR SHORT-CIRCUITS
8.3.6 OTHERS
8.4 OIL ANALYSIS
8.4.1 TURBINE MAINTENANCE
8.4.2 HYDRAULIC SYSTEM MAINTENANCE
8.4.3 ENGINE EVALUATION
8.4.4 TRANSMISSION ASSESSMENT
8.4.5 GEAR LUBRICANT LEVEL MONITORING
8.4.5 OTHERS
8.5 VIBRATION ANALYSIS
8.5.1 TEST COMPONENT ALIGNMENT
8.5.2 DETECT IMBALANCES
8.5.3 RESONANCE IDENTIFICATION
8.5.4 GEAR FAILURE DETECTION
8.5.5 OTHERS
8.6 ACOUSTIC MONITORING
8.6.1 PIPELINE MONITORING
8.6.2 CONDENSER EVALUATION
8.6.3 VACUUM SYSTEM MONITORING
8.6.4 FAN HEALTH ASSESSMENT
8.6.5 AIR COMPRESSOR MONITORING
8.5.6 OTHERS
8.6 OTHER TECHNIQUES
9 PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE
9.1 INTRODUCTION
9.1.1 ORGANIZATION SIZE: PREDICTIVE MAINTENANCE MARKET DRIVERS
9.2 LARGE ENTERPRISES
9.3 SMALL AND MEDIUM-SIZED ENTERPRISES
10 PREDICTIVE MAINTENANCE MARKET, BY VERTICAL
10.1 INTRODUCTION
9.1.1 VERTICAL: PREDICTIVE MAINTENANCE MARKET DRIVERS
10.2 MANUFACTURING
10.3 ENERGY & UTILITIES
10.4 AUTOMOTIVE, TRANSPORTATION & LOGISTICS
10.5 GOVERNMENT & DEFENSE
10.6 HEALTHCARE
10.7 TELECOMMUNICATIONS
10.8 MINING & CONSTRUCTION
10.9 OTHER VERTICALS (RETAIL, AGRICULTURE, CHEMICAL)
11 PREDICTIVE MAINTENANCE MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 NORTH AMERICA: MARKET DRIVERS
11.2.2 NORTH AMERICA: IMPACT OF RECESSION
11.2.3 UNITED STATES
11.2.4 CANADA
11.3 EUROPE
11.3.1 EUROPE: MARKET DRIVERS
11.3.2 EUROPE: IMPACT OF RECESSION
11.3.3 UNITED KINGDOM
11.3.4 GERMANY
11.3.5 FRANCE
11.3.6 ITALY
11.3.7 SPAIN
11.3.8 REST OF EUROPE
11.4 ASIA PACIFIC
11.4.1 ASIA PACIFIC: MARKET DRIVERS
11.4.2 ASIA PACIFIC: IMPACT OF RECESSION
11.4.3 CHINA
11.4.4 JAPAN
11.4.5 INDIA
11.4.6 SOUTH KOREA
11.3.7 AUSTRALIA & NEW ZEALAND
11.4.8 REST OF ASIA PACIFIC
11.5 MIDDLE EAST AND AFRICA
11.5.1 MIDDLE EAST AND AFRICA: MARKET DRIVERS
11.5.2 MIDDLE EAST AND AFRICA: IMPACT OF RECESSION
11.5.3 UAE
11.5.4 KSA
11.5.5 QATAR
11.5.6 TURKEY
11.5.7 SOUTH AFRICA
11.5.8 REST OF MIDDLE EAST AND AFRICA
11.6 LATIN AMERICA
11.6.1 LATIN AMERICA: MARKET DRIVERS
11.6.2 LATIN AMERICA: IMPACT OF RECESSION
11.6.3 BRAZIL
11.6.4 MEXICO
11.6.5 ARGENTINA
11.6.6 REST OF LATIN AMERICA
12 COMPETITIVE LANDSCAPE
12.1 INTRODUCTION
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
12.2.1 OVERVIEW OF STRATEGIES ADOPTED BY KEY PREDICTIVE MAINTENANCE VENDORS
12.3 REVENUE ANALYSIS FOR KEY PLAYERS
12.3.1 BUSINESS SEGMENT REVENUE ANALYSIS
12.4 MARKET SHARE ANALYSIS
12.3.1 MARKET RANKING ANALYSIS
12.5 BRAND/PRODUCT COMPARATIVE ANALYSIS, BY SOLUTION
12.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
12.6.1 STARS
12.6.2 EMERGING LEADERS
12.6.3 PERVASIVE PLAYERS
12.6.4 PARTICIPANTS
12.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
12.6.5.1 Company Footprint
12.6.5.2 Region Footprint
12.6.5.3 Component Footprint
12.6.5.4 Technology Footprint
12.6.5.5 Vertical Footprint
12.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
12.7.1 PROGRESSIVE COMPANIES
12.7.2 RESPONSIVE COMPANIES
12.7.3 DYNAMIC COMPANIES
12.7.4 STARTING BLOCKS
12.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
12.7.5.1 Detailed List of Key Startups/SMEs
12.7.5.2 Competitive Benchmarking of Key Startups/ SMEs
12.8 COMPANY VALUATION AND FINANCIAL METRICS
12.9 COMPETITIVE SCENARIOS AND TRENDS
12.9.1 PRODUCT LAUNCHES
12.9.2 DEALS
12.9.3 OTHERS
13 COMPANY PROFILES
13.1 INTRODUCTION
13.2 KEY PLAYERS
13.2.1 MICROSOFT
13.2.1.1 BUSINESS OVERVIEW
13.2.1.2 PRODUCTS/SOLUTIONS/SERVICES OFFERED
13.2.1.3 RECENT DEVELOPMENTS
13.2.1.4 MNM VIEW
13.2.2 IBM
13.2.2.1 BUSINESS OVERVIEW
13.2.2.2 PRODUCTS/SOLUTIONS/SERVICES OFFERED
13.2.2.3 RECENT DEVELOPMENTS
13.2.2.4 MNM VIEW
13.2.3 SAP
13.2.3.1 BUSINESS OVERVIEW
13.2.3.2 PRODUCTS/SOLUTIONS/SERVICES OFFERED
13.2.3.3 RECENT DEVELOPMENTS
13.2.3.4 MNM VIEW
13.2.4 SAS INSTITUTE
13.2.4.1 BUSINESS OVERVIEW
13.2.4.2 PRODUCTS/SOLUTIONS/SERVICES OFFERED
13.2.4.3 RECENT DEVELOPMENTS
13.2.4.4 MNM VIEW
13.2.5 SOFTWARE AG
13.2.5.1 BUSINESS OVERVIEW
13.2.5.2 PRODUCTS/SOLUTIONS/SERVICES OFFERED
13.2.5.3 RECENT DEVELOPMENTS
13.2.5.4 MNM VIEW
13.2.6 ABB
13.2.6.1 BUSINESS OVERVIEW
13.2.6.2 PRODUCTS/SOLUTIONS/SERVICES OFFERED
13.2.6.3 RECENT DEVELOPMENTS
13.3.7 HONEYWELL
13.2.7.1 BUSINESS OVERVIEW
13.2.7.2 PRODUCTS/SOLUTIONS/SERVICES OFFERED
13.2.7.3 RECENT DEVELOPMENTS
13.3.8 EMERSON
13.2.8.1 BUSINESS OVERVIEW
13.2.8.2 PRODUCTS/SOLUTIONS/SERVICES OFFERED
13.2.8.3 RECENT DEVELOPMENTS
13.3.9 SIEMENS
13.2.9.1 BUSINESS OVERVIEW
13.2.9.2 PRODUCTS/SOLUTIONS/SERVICES OFFERED
13.2.9.3 RECENT DEVELOPMENTS
13.2.10 TIBCO SOFTWARE
13.2.10.1 BUSINESS OVERVIEW
13.2.10.2 PRODUCTS/SOLUTIONS/SERVICES OFFERED
13.2.10.3 RECENT DEVELOPMENTS
13.2.11 ALTAIR
13.2.12 SPLUNK
13.2.13 ORACLE
13.2.14 GOOGLE
13.2.15 AWS
13.2.16 GE
13.2.17 SCHNEIDER ELECTRIC
13.2.18 HITACHI
13.2.19 PTC
13.3.20 C3.AI
13.3 OTHER PLAYERS
13.3.1 DINGO
13.3.2 UPTAKE
13.3.3 ARTESIS
13.3.4 WAVESCAN
13.3.5 FIIX SOFTWARE
13.3.6 UPKEEP
13.3.7 LIMBLE
13.3.8 SENSEGROW
13.3.9 PRESAGE INSIGHTS
13.3.10 FACLON LABS
14 ADJACENT MARKET
14.1 INTRODUCTION
14.2 MARKET DEFINITION
14.3 BIG DATA MARKET
14.4 ENTERPRISE ASSET MANAGEMENT MARKET
15 APPENDIX
15.1 DISCUSSION GUIDE
15.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.3 AVAILABLE CUSTOMIZATIONS
15.4 RELATED REPORTS
15.5 AUTHOR DETAILS