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AI Driven Predictive Maintenance Market by Offering (Software, Services), Solution (Integrated, Standalone), Deployment Mode (Cloud-based, On-premises), Technique (Vibration Analysis, Oil Analysis), and Organization Size-Global Forecast to 2032

出版商 MarketsandMarkets產業別 Electronics & Semiconductor出版日期 2026-04-02頁數 273報告編號 SE10395

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報告摘要

The AI-driven predictive maintenance market is anticipated to grow from USD 2.61 billion in 2026 to USD 19.27 billion by 2032, at a CAGR of 39.5% between 2026 and 2032. The increasing focus on cost optimization and asset lifecycle extension across industries drives the market growth. Organizations are under growing pressure to reduce maintenance costs while maximizing the efficiency and lifespan of critical equipment, leading to a shift from reactive and scheduled maintenance to data-driven approaches. AI-enabled predictive maintenance solutions help identify potential failures in advance, optimize spare parts inventory, and reduce unnecessary maintenance activities, thereby lowering operational expenditure and improving return on assets. This cost-efficiency advantage is encouraging widespread adoption across manufacturing, energy, transportation, and other asset-intensive sectors. “Vibration analysis is expected to hold the largest share, by technique, in 2032.” Vibration analysis currently holds the largest share of the AI-driven predictive maintenance market and is expected to remain one of the leading segments during the forecast period. Its dominance can be attributed to its widespread adoption across industries for early fault detection and equipment monitoring. This technique is extensively used in rotating machinery such as motors, pumps, and turbines, where changes in vibration patterns help identify issues such as imbalance, misalignment, and component wear. While other techniques, such as thermal imaging and oil analysis, are gaining traction, vibration analysis remains a foundational approach in predictive maintenance. As industries increasingly adopt proactive maintenance strategies and focus on operational efficiency, the demand for vibration analysis is expected to remain strong, thereby supporting its significant market share. “The healthcare industry is estimated to record the highest CAGR during the forecast period.” The healthcare segment is projected to grow at the highest CAGR in the AI-driven predictive maintenance market, driven by the increasing adoption of AI to improve equipment reliability and patient care. Healthcare industries are increasingly using AI to monitor critical medical equipment such as imaging systems, diagnostic devices, and hospital infrastructure, helping detect potential issues early and reduce unplanned downtime. The growing use of connected devices and digital systems is generating large volumes of data, enabling more accurate and timely maintenance planning through real-time insights. In addition, the need to ensure continuous operations, reduce maintenance costs, and improve asset utilization is encouraging the adoption of predictive maintenance solutions across healthcare facilities. The integration of IoT and advanced analytics is further supporting this shift toward proactive maintenance strategies. As healthcare providers continue to focus on operational efficiency, service quality, and patient safety, the demand for AI-driven predictive maintenance solutions is expected to increase significantly during the forecast period. “The Asia Pacific is expected to grow at the highest CAGR during the forecast period.” The Asia Pacific is expected to grow at the highest CAGR in the AI-driven predictive maintenance market, driven by rapid digital transformation and increasing AI adoption across industries. Countries such as China, Japan, South Korea, and India are investing in smart manufacturing, industrial automation, and digital infrastructure, driving demand for predictive maintenance solutions. Governments across the region are supporting technology adoption through initiatives focused on Industry 4.0, smart factories, and the development of the digital economy. The growing use of connected equipment and IoT devices is generating large volumes of operational data, enabling organizations to adopt AI-based solutions for real-time monitoring and early fault detection. Extensive primary interviews were conducted with key industry experts in the AI-driven predictive maintenance to determine and verify the market size for various segments and subsegments gathered through secondary research. The breakdown of primary participants for the report is provided below: The study includes insights from industry experts, ranging from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows: • By Company Type: Tier 1–40%, Tier 2–25%, and Tier 3–25% • By Designation: C-level–40%, Directors–45%, and Others–15% • By Region: North America–26%, Europe–28%, Asia Pacific–41%, and RoW–5% The report profiles key players in the AI-driven predictive maintenance market, including their respective market rankings. Prominent players profiled in this report are IBM (US), Siemens (Germany), SAP SE (Germany), GE Vernova (US), C3.ai (US), ABB (Switzerland), Schneider Electric (France), Hitachi, Ltd. (Japan), Uptake Technologies Inc. (US), among others. KONE (Finland), PTC (US), Emerson Electric Co. (US), Honeywell International Inc. (US), Augury Ltd. (US), Nanoprecise (Canada), Oracle (US), SKF AB (Sweden), Falkonry (US), Capgemini (France), Hexagon AB (Sweden), Dynamox (Brazil), Bosch Global Software Technologies Private Limited (India), eMaint (US), and Rockwell Automation (US) are among the few other companies in the market.   Research Coverage: This research report categorizes the AI-driven predictive maintenance market based on offering, solution, deployment mode, organization size, technique, industry, and region. The report describes the major drivers, restraints, challenges, and opportunities for the market and forecasts them through 2032. Apart from this, the report includes leadership mapping and analysis of all companies in the ecosystem. Key Benefits of Buying the Report The report will help market leaders/new entrants in this market by providing information on the closest approximations of the numbers for the overall market and its subsegments. This report will help stakeholders understand the competitive landscape and gain additional insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities. The report provides insights into the following pointers: • Analysis of Key Drivers (increasing demand for real-time condition monitoring systems, increasing demand to reduce unplanned equipment downtime, growing adoption of Industry 4.0 and smart manufacturing, expansion of IoT-enabled connected assets and sensors) • Product Development/Innovation: Detailed insights into upcoming technologies, research & development activities, and new product launches in the market • Market Development: Comprehensive information about lucrative markets–the report analyzes the market across varied regions. • Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the market • Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading market players, such as IBM (US), Siemens (Germany), SAP SE (Germany), GE Vernova (US), and C3.ai (US)
目錄 Table of Contents
1 INTRODUCTION 26 1.1 STUDY OBJECTIVES 26 1.2 MARKET DEFINITION 26 1.3 STUDY SCOPE 27 1.3.1 MARKETS COVERED AND REGIONAL SCOPE 27 1.3.2 INCLUSIONS AND EXCLUSIONS 28 1.3.3 YEARS CONSIDERED 28 1.3.4 CURRENCY CONSIDERED 29 1.4 STAKEHOLDERS 29 2 EXECUTIVE SUMMARY 30 2.1 KEY INSIGHTS AND MARKET HIGHLIGHTS 30 2.2 KEY MARKET PARTICIPANTS: SHARE INSIGHTS AND STRATEGIC DEVELOPMENTS 31 2.3 DISRUPTIVE TRENDS SHAPING MARKET 32 2.4 HIGH-GROWTH SEGMENTS AND EMERGING FRONTIERS 32 2.5 SNAPSHOT: GLOBAL MARKET SIZE, GROWTH RATE, AND FORECAST 33 3 PREMIUM INSIGHTS 34 3.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI-DRIVEN PREDICTIVE MAINTENANCE MARKET 34 3.2 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY OFFERING 35 3.3 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY SOLUTION 35 3.4 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT 36 3.5 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE 36 3.6 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE 37 3.7 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY 37 3.8 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION 38 4 MARKET OVERVIEW 39 4.1 INTRODUCTION 39 4.2 MARKET DYNAMICS 39 4.2.1 DRIVERS 40 4.2.1.1 Increasing demand for real-time condition monitoring systems 40 4.2.1.2 Need to reduce unplanned equipment downtime 40 4.2.1.3 Growing adoption of Industry 4.0 and smart manufacturing 40 4.2.1.4 Expansion of IoT-enabled connected assets and sensors 41 4.2.2 RESTRAINTS 42 4.2.2.1 High initial capital investment for AI infrastructure and sensor deployment 42 4.2.2.2 Cybersecurity risks in connected industrial environments 43 4.2.3 OPPORTUNITIES 44 4.2.3.1 Expansion of predictive maintenance-as-a-service (PdMaaS) models 44 4.2.3.2 Partnerships between AI vendors and industrial OEMs 44 4.2.3.3 Expansion of AI at the edge for low-latency predictive analytics 44 4.2.4 CHALLENGES 45 4.2.4.1 Lack of skilled workforce 45 4.2.4.2 Continuous model upgradation 46 4.3 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES 47 4.3.1 INTERCONNECTED MARKETS 47 4.3.2 CROSS-SECTOR OPPORTUNITIES 47 4.4 STRATEGIC MOVES BY TIER 1/2/3 PLAYERS 48 5 INDUSTRY TRENDS 49 5.1 INTRODUCTION 49 5.2 PORTER’S FIVE FORCES ANALYSIS 49 5.2.1 THREAT OF NEW ENTRANTS 50 5.2.2 THREAT OF SUBSTITUTES 50 5.2.3 BARGAINING POWER OF SUPPLIERS 51 5.2.4 BARGAINING POWER OF BUYERS 51 5.2.5 INTENSITY OF COMPETITIVE RIVALRY 51 5.3 MACROECONOMIC OUTLOOK 51 5.3.1 INTRODUCTION 51 5.3.2 GDP TRENDS AND FORECAST 51 5.3.3 TRENDS IN GLOBAL AI-DRIVEN PREDICTIVE MAINTENANCE MARKET 53 5.4 ECOSYSTEM ANALYSIS 55 5.5 PRICING ANALYSIS 56 5.5.1 AVERAGE SELLING PRICE OF SOFTWARE, BY KEY PLAYER 57 5.5.2 AVERAGE SELLING PRICE TREND, BY REGION, 2022–2025 (USD/MONTH) 57 5.6 TRADE ANALYSIS 58 5.6.1 IMPORT SCENARIO (HS CODE 847150) 58 5.6.2 EXPORT SCENARIO (HS CODE 847150) 59 5.7 KEY CONFERENCES AND EVENTS, 2026–2027 60 5.8 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 61 5.9 INVESTMENT AND FUNDING SCENARIO, 2023–2025 62 5.10 CASE STUDY ANALYSIS 63 5.10.1 KONE AND IBM IMPLEMENT AI-BASED PREDICTIVE MAINTENANCE FOR HUMLEGÅRDEN, ENHANCING OPERATIONAL EFFICIENCY 63 5.10.2 SIEMENS ENABLES AI-DRIVEN PREDICTIVE MAINTENANCE FOR BLUESCOPE STEEL, IMPROVING MAINTENANCE EFFICIENCY AND DECISION-MAKING 63 5.10.3 IBM ENABLES AI-DRIVEN PREDICTIVE MAINTENANCE FOR KONE, IMPROVING ELEVATOR RELIABILITY AND REDUCING DOWNTIME 64   5.11 IMPACT OF US TARIFFS–AI-DRIVEN PREDICTIVE MAINTENANCE MARKET 64 5.11.1 INTRODUCTION 64 5.11.1.1 Key tariff rates 65 5.11.2 PRICE IMPACT ANALYSIS 66 5.11.3 IMPACT OF COUNTRIES/REGIONS 66 5.11.3.1 US 66 5.11.3.2 Europe 67 5.11.3.3 Asia Pacific 67 5.11.4 IMPACT ON END-USE INDUSTRIES 67 6 TECHNOLOGICAL ADVANCEMENTS, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS 69 6.1 KEY EMERGING TECHNOLOGIES 69 6.1.1 MACHINE LEARNING-BASED ANOMALY DETECTION TECHNOLOGY 69 6.1.2 DIGITAL TWIN AND CONDITION MONITORING TECHNOLOGY 69 6.1.3 EDGE AI-BASED REAL-TIME MONITORING TECHNOLOGY 69 6.1.4 PRESCRIPTIVE ANALYTICS AND REMAINING USEFUL LIFE (RUL) ESTIMATION TECHNOLOGY 70 6.2 COMPLEMENTARY TECHNOLOGIES 70 6.2.1 INDUSTRIAL INTERNET OF THINGS (IIOT) AND SENSOR NETWORKS 70 6.2.2 CLOUD COMPUTING AND ENTERPRISE ASSET MANAGEMENT (EAM) INTEGRATION 70 6.3 TECHNOLOGY ROADMAP 71 6.4 PATENT ANALYSIS 72 6.5 FUTURE APPLICATIONS 74 7 REGULATORY LANDSCAPE 75 7.1 INTRODUCTION 75 7.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 75 7.1.2 STANDARDS 76 7.1.2.1 ISO 55000 76 7.1.2.2 ISO 17359 77 7.1.2.3 IEC 62443 77 7.1.2.4 ISO/IEC 27001 77 7.1.2.5 ISO 14224 77 7.1.2.6 NIST AI Risk Management Framework (AI RMF) 77 8 CUSTOMER LANDSCAPE AND BUYER BEHAVIOR 78 8.1 DECISION-MAKING PROCESS 78 8.2 KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA 80 8.2.1 KEY STAKEHOLDERS IN BUYING PROCESS 80 8.2.2 BUYING CRITERIA 81 8.3 ADOPTION BARRIERS AND INTERNAL CHALLENGES 81 8.4 UNMET NEEDS FROM VARIOUS END USERS 82 9 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY OFFERING 84 9.1 INTRODUCTION 85 9.2 SOFTWARE 86 9.2.1 RISING ADOPTION OF AI-POWERED ASSET ANALYTICS PLATFORMS DRIVING GROWTH OF PREDICTIVE MAINTENANCE SOFTWARE 86 9.3 SERVICES 87 9.3.1 GROWING DEMAND FOR AI IMPLEMENTATION AND INTEGRATION EXPERTISE TO ACCELERATE ADOPTION OF PREDICTIVE MAINTENANCE SERVICES 87 10 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY SOLUTION 89 10.1 INTRODUCTION 90 10.2 INTEGRATED SOLUTIONS 91 10.2.1 INCREASING DEMAND FOR UNIFIED ASSET MONITORING AND ANALYTICS PLATFORMS TO BOOST ADOPTION 91 10.3 STANDALONE SOLUTIONS 92 10.3.1 NEED FOR SPECIALIZED CONDITION MONITORING TOOLS SUPPORTS UPTAKE OF STANDALONE SOLUTIONS 92 11 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE 93 11.1 INTRODUCTION 94 11.2 CLOUD-BASED 95 11.2.1 RISING DEMAND FOR REAL-TIME MONITORING AND SCALABLE ANALYTICS TO DRIVE DEMAND FOR CLOUD-BASED PREDICTIVE MAINTENANCE 95 11.3 ON-PREMISES 95 11.3.1 NEED FOR DATA CONTROL AND SECURE INDUSTRIAL INFRASTRUCTURE TO PROPEL MARKET GROWTH 95 12 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE 96 12.1 INTRODUCTION 97 12.2 LARGE ENTERPRISES 98 12.2.1 HIGH COST OF DOWNTIME AND NEED FOR ENTERPRISE-WIDE MONITORING ARE ACCELERATING DEMAND 98 12.3 SMALL AND MEDIUM-SIZED ENTERPRISES 99 12.3.1 INCREASING AVAILABILITY OF SCALABLE AND CLOUD-BASED PREDICTIVE MAINTENANCE PLATFORMS TO SUPPORT ADOPTION 99 13 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE 101 13.1 INTRODUCTION 102 13.2 VIBRATION ANALYSIS 103 13.2.1 RISING NEED FOR EARLY DETECTION OF MECHANICAL FAILURES IN ROTATING EQUIPMENT DRIVES MARKET 103   13.3 INFRARED THERMOGRAPHY 104 13.3.1 DEMAND FOR NON-CONTACT AND SAFE INSPECTION METHODS PROPELS ADOPTION OF INFRARED THERMOGRAPHY 104 13.4 ACOUSTIC MONITORING 106 13.4.1 NEED FOR EARLY FAULT DETECTION AND NON-INVASIVE MONITORING TO SUPPORT USAGE 106 13.5 OIL ANALYSIS 107 13.5.1 INCREASING USE OF HEAVY MACHINERY AND CRITICAL ASSETS IN MINING, ENERGY, ETC., BOOSTS DEMAND 107 13.6 MOTOR CIRCUIT ANALYSIS 108 13.6.1 EXPANSION OF AUTOMATED INDUSTRIAL EQUIPMENT PROPELS USE OF MOTOR CIRCUIT ANALYSIS TECHNIQUES 108 13.7 OTHER TECHNIQUES 109 14 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY 111 14.1 INTRODUCTION 112 14.2 ENERGY & UTILITIES 113 14.2.1 GROWING NEED FOR CONTINUOUS MONITORING OF CRITICAL ENERGY INFRASTRUCTURE DRIVES PREDICTIVE MAINTENANCE ADOPTION 113 14.3 MANUFACTURING 118 14.3.1 EXPANSION OF SMART MANUFACTURING AND AUTOMATION DRIVING PREDICTIVE MAINTENANCE ADOPTION 118 14.4 TRANSPORTATION 122 14.4.1 INCREASING INFRASTRUCTURE MODERNIZATION AND DEMAND FOR OPERATIONAL RELIABILITY DRIVING PREDICTIVE MAINTENANCE ADOPTION 122 14.5 AEROSPACE & DEFENSE 125 14.5.1 INCREASING EMPHASIS ON MISSION READINESS AND SYSTEM RELIABILITY TO PROPEL MARKET GROWTH 125 14.6 MINING & HEAVY EQUIPMENT 129 14.6.1 RISING FOCUS ON EQUIPMENT UPTIME IN HARSH OPERATING CONDITIONS SUPPORTS ADOPTION 129 14.7 HEALTHCARE 133 14.7.1 CONTINUOUS EQUIPMENT AVAILABILITY BECOMING CRITICAL FOR EFFICIENT HEALTHCARE OPERATION 133 14.8 TELECOMMUNICATIONS 137 14.8.1 GROWING COMPLEXITY OF NETWORK INFRASTRUCTURE TO DRIVE DEMAND 137 14.9 OTHER INDUSTRIES 141 15 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION 146 15.1 INTRODUCTION 147 15.2 NORTH AMERICA 148 15.2.1 US 152 15.2.1.1 Strong presence of highly developed industrial AI and analytics ecosystem to drive demand 152   15.2.2 CANADA 153 15.2.2.1 Growing demand for operational efficiency and regulatory compliance to spur market growth 153 15.2.3 MEXICO 154 15.2.3.1 Expansion of automotive manufacturing and industrial automation supporting adoption 154 15.3 EUROPE 156 15.3.1 GERMANY 159 15.3.1.1 Leadership in industry 4.0 and advanced manufacturing driving adoption of AI-driven predictive maintenance 159 15.3.2 UK 161 15.3.2.1 Industry 4.0 initiatives and advanced aerospace manufacturing driving adoption of AI-driven predictive maintenance 161 15.3.3 FRANCE 162 15.3.3.1 Accelerating industrial digitalization and aerospace expansion driving market growth 162 15.3.4 ITALY 164 15.3.4.1 Strong industrial machinery sector and manufacturing modernization driving predictive maintenance adoption 164 15.3.5 REST OF EUROPE 165 15.4 ASIA PACIFIC 166 15.4.1 CHINA 170 15.4.1.1 Large-scale industrial production and smart factory initiatives driving adoption of AI-driven predictive maintenance 170 15.4.2 JAPAN 172 15.4.2.1 Increasing need to address aging industrial infrastructure and workforce shortages to spur market demand 172 15.4.3 SOUTH KOREA 173 15.4.3.1 Smart manufacturing and industrial automation driving adoption in South Korea 173 15.4.4 INDIA 175 15.4.4.1 Industrial digitalization and expansion of industrial automation supporting predictive maintenance adoption 175 15.4.5 REST OF ASIA PACIFIC 176 15.5 REST OF THE WORLD (ROW) 177 15.5.1 MIDDLE EAST & AFRICA 181 15.5.1.1 GCC Countries 183 15.5.1.2 Rest of Middle East & Africa 183 15.5.2 SOUTH AMERICA 183 15.5.2.1 Expansion of industrial production and energy infrastructure supporting predictive maintenance adoption 183   16 COMPETITIVE LANDSCAPE 185 16.1 INTRODUCTION 185 16.2 KEY PLAYERS, STRATEGIES/RIGHT TO WIN (2022–2026) 185 16.3 REVENUE ANALYSIS, 2022–2025 186 16.4 MARKET SHARE ANALYSIS, 2025 187 16.5 COMPANY VALUATION AND FINANCIAL METRICS 191 16.6 BRAND COMPARISON 192 16.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2025 193 16.7.1 STARS 193 16.7.2 EMERGING LEADERS 193 16.7.3 PERVASIVE PLAYERS 194 16.7.4 PARTICIPANTS 194 16.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2025 195 16.7.5.1 Company footprint 195 16.7.5.2 Region footprint 196 16.7.5.3 Offering footprint 197 16.7.5.4 Deployment mode footprint 198 16.7.5.5 Application footprint 199 16.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2025 200 16.8.1 PROGRESSIVE COMPANIES 200 16.8.2 RESPONSIVE COMPANIES 200 16.8.3 DYNAMIC COMPANIES 200 16.8.4 STARTING BLOCKS 200 16.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2025 202 16.8.5.1 Detailed list of key startups/SMEs 202 16.8.5.2 Competitive benchmarking of key startups/SMEs 202 16.9 COMPETITIVE SCENARIO 203 16.9.1 PRODUCT LAUNCHES 203 16.9.2 DEALS 205 17 COMPANY PROFILES 206 17.1 KEY PLAYERS 206 17.1.1 IBM 206 17.1.1.1 Business overview 206 17.1.1.2 Products/solutions/services offered 207 17.1.1.3 Recent developments 208 17.1.1.3.1 Product launches 208 17.1.1.4 MnM view 208 17.1.1.4.1 Key strengths/right to win 208 17.1.1.4.2 Strategic choices made 208 17.1.1.4.3 Weaknesses and competitive threats 208   17.1.2 SIEMENS 209 17.1.2.1 Business overview 209 17.1.2.2 Products/solutions/services offered 210 17.1.2.3 Recent developments 211 17.1.2.3.1 Product launches 211 17.1.2.3.2 Deals 212 17.1.2.4 MnM view 212 17.1.2.4.1 Key strengths/right to win 212 17.1.2.4.2 Strategic choices made 212 17.1.2.4.3 Weaknesses and competitive threats 212 17.1.3 SAP SE 213 17.1.3.1 Business overview 213 17.1.3.2 Products/solutions/services offered 214 17.1.3.3 MnM view 215 17.1.3.3.1 Key strengths/right to win 215 17.1.3.3.2 Strategic choices made 215 17.1.3.3.3 Weaknesses and competitive threats 215 17.1.4 GE VERNOVA 216 17.1.4.1 Business overview 216 17.1.4.2 Products/solutions/services offered 217 17.1.4.3 Recent developments 218 17.1.4.3.1 Product launches 218 17.1.4.3.2 Deals 218 17.1.4.3.3 Other developments 218 17.1.4.4 MnM view 219 17.1.4.4.1 Key strengths/right to win 219 17.1.4.4.2 Strategic choices made 219 17.1.4.4.3 Weaknesses and competitive threats 219 17.1.5 C3.AI 220 17.1.5.1 Business overview 220 17.1.5.2 Products/solutions/services offered 221 17.1.5.3 Recent developments 222 17.1.5.3.1 Product enhancements 222 17.1.5.3.2 Deals 222 17.1.5.3.3 Other developments 223 17.1.5.4 MnM view 223 17.1.5.4.1 Key strengths/right to win 223 17.1.5.4.2 Strategic choices made 223 17.1.5.4.3 Weaknesses and competitive threats 223   17.1.6 ABB 224 17.1.6.1 Business overview 224 17.1.6.2 Products/solutions/services offered 225 17.1.6.3 Recent developments 226 17.1.6.3.1 Deals 226 17.1.7 SCHNEIDER ELECTRIC 227 17.1.7.1 Business overview 227 17.1.7.2 Products/solutions/services offered 228 17.1.7.3 Recent developments 229 17.1.7.3.1 Product launches 229 17.1.7.3.2 Deals 229 17.1.8 HITACHI, LTD. 230 17.1.8.1 Business overview 230 17.1.8.2 Products/solutions/services offered 231 17.1.8.3 Recent developments 232 17.1.8.3.1 Product launches 232 17.1.8.3.2 Deals 232 17.1.9 L&T TECHNOLOGY SERVICES LIMITED 233 17.1.9.1 Business overview 233 17.1.9.2 Products/solutions/services offered 234 17.1.9.3 Recent developments 235 17.1.9.3.1 Product launches 235 17.1.9.3.2 Other deals 235 17.1.10 UPTAKE TECHNOLOGIES INC. 236 17.1.10.1 Business overview 236 17.1.10.2 Products/solutions/services offered 236 17.1.10.3 Recent developments 237 17.1.10.3.1 Product launches 237 17.2 OTHER PLAYERS 238 17.2.1 KONE 238 17.2.2 PTC 239 17.2.3 EMERSON ELECTRIC CO. 240 17.2.4 HONEYWELL INTERNATIONAL INC. 241 17.2.5 AUGURY LTD. 242 17.2.6 NANOPRECISE 243 17.2.7 ORACLE 244 17.2.8 SKF 245 17.2.9 FALKONRY 246 17.2.10 CAPGEMINI 247 17.2.11 HEXAGON AB 248 17.2.12 DYNAMOX 249 17.2.13 BOSCH GLOBAL SOFTWARE TECHNOLOGIES PRIVATE LIMITED 250 17.2.14 EMAINT 251 17.2.15 ROCKWELL AUTOMATION 252 18 RESEARCH METHODOLOGY 253 18.1 RESEARCH DATA 253 18.2 SECONDARY AND PRIMARY RESEARCH 254 18.2.1 SECONDARY DATA 256 18.2.1.1 Key data from secondary sources 256 18.2.1.2 List of key secondary sources 256 18.2.2 PRIMARY DATA 257 18.2.2.1 Key data from primary sources 257 18.2.2.2 List of primary interview participants 258 18.2.2.3 Breakdown of primaries 258 18.2.2.4 Key industry insights 258 18.3 MARKET SIZE ESTIMATION 259 18.3.1 BOTTOM-UP APPROACH 260 18.3.2 TOP-DOWN APPROACH 260 18.3.3 MARKET SIZE CALCULATION FOR BASE YEAR 261 18.4 MARKET FORECAST APPROACH 262 18.4.1 BOTTOM-UP APPROACH 262 18.4.2 TOP-DOWN APPROACH 262 18.5 DATA TRIANGULATION 263 18.6 FACTOR ANALYSIS 264 18.7 RESEARCH ASSUMPTIONS 264 18.8 RESEARCH LIMITATIONS 265 18.9 RISK ANALYSIS 265 19 APPENDIX 266 19.1 DISCUSSION GUIDE 266 19.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 269 19.3 CUSTOMIZATION OPTIONS 271 19.4 RELATED REPORTS 271 19.5 AUTHOR DETAILS 272
圖表清單 List of Tables & Figures
TABLE 1 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: INCLUSIONS AND EXCLUSIONS 28 TABLE 2 STRATEGIC FOCUS OF TIER-1/2/3 PLAYERS 48 TABLE 3 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: IMPACT OF PORTER’S FIVE FORCES 49 TABLE 4 GDP PERCENTAGE CHANGE, BY COUNTRY, 2021–2030 52 TABLE 5 ROLE OF PLAYERS IN AI-DRIVEN PREDICTIVE MAINTENANCE MARKET ECOSYSTEM 56 TABLE 6 INDICATIVE SELLING PRICE OF AI-DRIVEN PREDICTIVE MAINTENANCE SOFTWARE, 2025 57 TABLE 7 INDICATIVE SELLING PRICE OF SOFTWARE, BY KEY PLAYER (USD/MONTH) 57 TABLE 8 AVERAGE SELLING PRICE TREND OF SOFTWARE, BY REGION, 2022–2025 (USD/MONTH) 57 TABLE 9 IMPORT DATA FOR HS CODE 847150-COMPLIANT PRODUCTS, BY COUNTRY, 2020–2024 (USD MILLION) 59 TABLE 10 EXPORT DATA FOR HS CODE 847150-COMPLIANT PRODUCTS, BY COUNTRY, 2020–2024 (USD MILLION) 60 TABLE 11 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: KEY CONFERENCES AND EVENTS, 2026–2027 60 TABLE 12 US-ADJUSTED RECIPROCAL TARIFF RATES 65 TABLE 13 EVOLUTION OF PREDICTIVE MAINTENANCE TECHNOLOGIES 71 TABLE 14 LIST OF APPLIED/GRANTED PATENTS, APRIL 2023–MARCH 2025 73 TABLE 15 FUTURE APPLICATIONS 74 TABLE 16 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 75 TABLE 17 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 75 TABLE 18 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 76 TABLE 19 REST OF WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 76 TABLE 20 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 END USERS (%) 80 TABLE 21 KEY BUYING CRITERIA FOR TOP THREE END USERS 81 TABLE 22 UNMET NEEDS IN AI-DRIVEN PREDICTIVE MAINTENANCE MARKET FOR END USERS 83 TABLE 23 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY OFFERING, 2022–2025 (USD MILLION) 85 TABLE 24 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY OFFERING, 2026–2032 (USD MILLION) 85 TABLE 25 SOFTWARE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 87 TABLE 26 SOFTWARE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 87 TABLE 27 SERVICES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 88 TABLE 28 SERVICES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 88 TABLE 29 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY SOLUTION, 2022–2025 (USD MILLION) 90 TABLE 30 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY SOLUTION, 2026–2032 (USD MILLION) 90 TABLE 31 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE, 2022–2025 (USD MILLION) 94 TABLE 32 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE, 2026–2032 (USD MILLION) 94 TABLE 33 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE, 2022–2025 (USD MILLION) 97 TABLE 34 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE, 2026–2032 (USD MILLION) 97 TABLE 35 LARGE ENTERPRISES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 98 TABLE 36 LARGE ENTERPRISES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 99 TABLE 37 SMES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 100 TABLE 38 SMES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 100 TABLE 39 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE, 2022–2025 (USD MILLION) 102 TABLE 40 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE, 2026–2032 (USD MILLION) 103 TABLE 41 VIBRATION ANALYSIS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 104 TABLE 42 VIBRATION ANALYSIS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 104 TABLE 43 INFRARED THERMOGRAPHY: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 105 TABLE 44 INFRARED THERMOGRAPHY: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 105 TABLE 45 ACOUSTIC MONITORING: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 106 TABLE 46 ACOUSTIC MONITORING: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 106 TABLE 47 OIL ANALYSIS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 107 TABLE 48 OIL ANALYSIS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 108 TABLE 49 MOTOR CIRCUIT ANALYSIS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 108 TABLE 50 MOTOR CIRCUIT ANALYSIS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 109 TABLE 51 OTHER TECHNIQUES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 109 TABLE 52 OTHER TECHNIQUES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 110 TABLE 53 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 112 TABLE 54 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 113 TABLE 55 ENERGY & UTILITIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 114 TABLE 56 ENERGY & UTILITIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 114 TABLE 57 ENERGY & UTILITIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2022–2025 (USD MILLION) 114 TABLE 58 ENERGY & UTILITIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2026–2032 (USD MILLION) 115 TABLE 59 ENERGY & UTILITIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2022–2025 (USD MILLION) 116 TABLE 60 ENERGY & UTILITIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2026–2032 (USD MILLION) 116 TABLE 61 ENERGY & UTILITIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2022–2025 (USD MILLION) 116 TABLE 62 ENERGY & UTILITIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2026–2032 (USD MILLION) 117 TABLE 63 ENERGY & UTILITIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2022–2025 (USD MILLION) 117 TABLE 64 ENERGY & UTILITIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2026–2032 (USD MILLION) 117 TABLE 65 MANUFACTURING: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 118 TABLE 66 MANUFACTURING: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 118 TABLE 67 MANUFACTURING: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2022–2025 (USD MILLION) 119 TABLE 68 MANUFACTURING: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2026–2032 (USD MILLION) 119 TABLE 69 MANUFACTURING: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2022–2025 (USD MILLION) 119 TABLE 70 MANUFACTURING: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2026–2032 (USD MILLION) 120 TABLE 71 MANUFACTURING: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2022–2025 (USD MILLION) 120 TABLE 72 MANUFACTURING: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2026–2032 (USD MILLION) 121 TABLE 73 MANUFACTURING: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2022–2025 (USD MILLION) 121 TABLE 74 MANUFACTURING: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2026–2032 (USD MILLION) 121 TABLE 75 TRANSPORTATION: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 122 TABLE 76 TRANSPORTATION: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 122 TABLE 77 TRANSPORTATION: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2022–2025 (USD MILLION) 123 TABLE 78 TRANSPORTATION: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2026–2032 (USD MILLION) 123 TABLE 79 TRANSPORTATION: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2022–2025 (USD MILLION) 123 TABLE 80 TRANSPORTATION: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2026–2032 (USD MILLION) 124 TABLE 81 TRANSPORTATION: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2022–2025 (USD MILLION) 124 TABLE 82 TRANSPORTATION: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2026–2032 (USD MILLION) 124 TABLE 83 TRANSPORTATION: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2022–2025 (USD MILLION) 125 TABLE 84 TRANSPORTATION: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2026–2032 (USD MILLION) 125 TABLE 85 AEROSPACE & DEFENSE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 126 TABLE 86 AEROSPACE & DEFENSE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 126 TABLE 87 AEROSPACE & DEFENSE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2022–2025 (USD MILLION) 126 TABLE 88 AEROSPACE & DEFENSE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2026–2032 (USD MILLION) 127 TABLE 89 AEROSPACE & DEFENSE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2022–2025 (USD MILLION) 127 TABLE 90 AEROSPACE & DEFENSE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2026–2032 (USD MILLION) 128 TABLE 91 AEROSPACE & DEFENSE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2022–2025 (USD MILLION) 128 TABLE 92 AEROSPACE & DEFENSE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2026–2032 (USD MILLION) 128 TABLE 93 AEROSPACE & DEFENSE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2022–2025 (USD MILLION) 129 TABLE 94 AEROSPACE & DEFENSE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2026–2032 (USD MILLION) 129 TABLE 95 MINING & HEAVY EQUIPMENT: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 130 TABLE 96 MINING & HEAVY EQUIPMENT: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 130 TABLE 97 MINING & HEAVY EQUIPMENT: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2022–2025 (USD MILLION) 130 TABLE 98 MINING & HEAVY EQUIPMENT: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2026–2032 (USD MILLION) 131 TABLE 99 MINING & HEAVY EQUIPMENT: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2022–2025 (USD MILLION) 131 TABLE 100 MINING & HEAVY EQUIPMENT: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2026–2032 (USD MILLION) 132 TABLE 101 MINING & HEAVY EQUIPMENT: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2022–2025 (USD MILLION) 132 TABLE 102 MINING & HEAVY EQUIPMENT: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2026–2032 (USD MILLION) 132 TABLE 103 MINING & HEAVY EQUIPMENT: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2022–2025 (USD MILLION) 133 TABLE 104 MINING & HEAVY EQUIPMENT: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2026–2032 (USD MILLION) 133 TABLE 105 HEALTHCARE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 134 TABLE 106 HEALTHCARE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 134 TABLE 107 HEALTHCARE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2022–2025 (USD MILLION) 134 TABLE 108 HEALTHCARE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2026–2032 (USD MILLION) 135 TABLE 109 HEALTHCARE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2022–2025 (USD MILLION) 135 TABLE 110 HEALTHCARE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2026–2032 (USD MILLION) 136 TABLE 111 HEALTHCARE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2022–2025 (USD MILLION) 136 TABLE 112 HEALTHCARE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2026–2032 (USD MILLION) 136 TABLE 113 HEALTHCARE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2022–2025 (USD MILLION) 137 TABLE 114 HEALTHCARE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2026–2032 (USD MILLION) 137 TABLE 115 TELECOMMUNICATIONS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 138 TABLE 116 TELECOMMUNICATIONS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 138 TABLE 117 TELECOMMUNICATIONS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2022–2025 (USD MILLION) 138 TABLE 118 TELECOMMUNICATIONS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2026–2032 (USD MILLION) 139 TABLE 119 TELECOMMUNICATIONS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2022–2025 (USD MILLION) 139 TABLE 120 TELECOMMUNICATIONS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2026–2032 (USD MILLION) 140 TABLE 121 TELECOMMUNICATIONS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2022–2025 (USD MILLION) 140 TABLE 122 TELECOMMUNICATIONS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2026–2032 (USD MILLION) 140 TABLE 123 TELECOMMUNICATIONS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2022–2025 (USD MILLION) 141 TABLE 124 TELECOMMUNICATIONS: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2026–2032 (USD MILLION) 141 TABLE 125 OTHER INDUSTRIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 142 TABLE 126 OTHER INDUSTRIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 142 TABLE 127 OTHER INDUSTRIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2022–2025 (USD MILLION) 142 TABLE 128 OTHER INDUSTRIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN NORTH AMERICA, BY COUNTRY, 2026–2032 (USD MILLION) 143 TABLE 129 OTHER INDUSTRIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2022–2025 (USD MILLION) 143 TABLE 130 OTHER INDUSTRIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN EUROPE, BY COUNTRY, 2026–2032 (USD MILLION) 143 TABLE 131 OTHER INDUSTRIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2022–2025 (USD MILLION) 144 TABLE 132 OTHER INDUSTRIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ASIA PACIFIC, BY COUNTRY, 2026–2032 (USD MILLION) 144 TABLE 133 OTHER INDUSTRIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2022–2025 (USD MILLION) 145 TABLE 134 OTHER INDUSTRIES: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET IN ROW, BY REGION, 2026–2032 (USD MILLION) 145 TABLE 135 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 147 TABLE 136 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 147 TABLE 137 NORTH AMERICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE, 2022–2025 (USD MILLION) 149 TABLE 138 NORTH AMERICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE, 2026–2032 (USD MILLION) 149 TABLE 139 NORTH AMERICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE, 2022–2025 (USD MILLION) 149 TABLE 140 NORTH AMERICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE, 2026–2032 (USD MILLION) 150 TABLE 141 NORTH AMERICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 150 TABLE 142 NORTH AMERICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 151 TABLE 143 NORTH AMERICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY COUNTRY, 2022–2025 (USD MILLION) 151 TABLE 144 NORTH AMERICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY COUNTRY, 2026–2032 (USD MILLION) 151 TABLE 145 US: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 152 TABLE 146 US: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 153 TABLE 147 CANADA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 154 TABLE 148 CANADA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 154 TABLE 149 MEXICO: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 155 TABLE 150 MEXICO: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 155 TABLE 151 EUROPE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE, 2022–2025 (USD MILLION) 156 TABLE 152 EUROPE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE, 2026–2032 (USD MILLION) 157 TABLE 153 EUROPE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE, 2022–2025 (USD MILLION) 157 TABLE 154 EUROPE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE, 2026–2032 (USD MILLION) 157 TABLE 155 EUROPE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 158 TABLE 156 EUROPE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 158 TABLE 157 EUROPE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY COUNTRY, 2022–2025 (USD MILLION) 159 TABLE 158 EUROPE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY COUNTRY, 2026–2032 (USD MILLION) 159 TABLE 159 GERMANY: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 160 TABLE 160 GERMANY: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 160 TABLE 161 UK: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 161 TABLE 162 UK: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 162 TABLE 163 FRANCE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 163 TABLE 164 FRANCE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 163 TABLE 165 ITALY: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 164 TABLE 166 ITALY: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 165 TABLE 167 REST OF EUROPE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 165 TABLE 168 REST OF EUROPE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 166 TABLE 169 ASIA PACIFIC: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE, 2022–2025 (USD MILLION) 167 TABLE 170 ASIA PACIFIC: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE, 2026–2032 (USD MILLION) 167 TABLE 171 ASIA PACIFIC: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE, 2022–2025 (USD MILLION) 168 TABLE 172 ASIA PACIFIC: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE, 2026–2032 (USD MILLION) 168 TABLE 173 ASIA PACIFIC: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 169 TABLE 174 ASIA PACIFIC: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 169 TABLE 175 ASIA PACIFIC: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY COUNTRY, 2022–2025 (USD MILLION) 170 TABLE 176 ASIA PACIFIC: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY COUNTRY, 2026–2032 (USD MILLION) 170 TABLE 177 CHINA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 171 TABLE 178 CHINA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 171 TABLE 179 JAPAN: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 172 TABLE 180 JAPAN: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 173 TABLE 181 SOUTH KOREA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 174 TABLE 182 SOUTH KOREA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 174 TABLE 183 INDIA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 175 TABLE 184 INDIA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 176 TABLE 185 REST OF ASIA PACIFIC: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 176 TABLE 186 REST OF ASIA PACIFIC: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 177 TABLE 187 ROW: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE, 2022–2025 (USD MILLION) 178 TABLE 188 ROW: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE, 2026–2032 (USD MILLION) 178 TABLE 189 ROW: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE, 2022–2025 (USD MILLION) 179 TABLE 190 ROW: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE, 2026–2032 (USD MILLION) 179 TABLE 191 ROW: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 180 TABLE 192 ROW: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 180 TABLE 193 ROW: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 180 TABLE 194 ROW: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 181 TABLE 195 MIDDLE EAST & AFRICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2022–2025 (USD MILLION) 181 TABLE 196 MIDDLE EAST & AFRICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY REGION, 2026–2032 (USD MILLION) 181 TABLE 197 MIDDLE EAST & AFRICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 182 TABLE 198 MIDDLE EAST & AFRICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 182 TABLE 199 SOUTH AMERICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2022–2025 (USD MILLION) 184 TABLE 200 SOUTH AMERICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY, 2026–2032 (USD MILLION) 184 TABLE 201 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN AI-DRIVEN PREDICTIVE MAINTENANCE MARKET (2022–2026) 185 TABLE 202 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: DEGREE OF COMPETITION, 2025 188 TABLE 203 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: REGION FOOTPRINT 196 TABLE 204 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: OFFERING FOOTPRINT 197 TABLE 205 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: DEPLOYMENT FOOTPRINT 198 TABLE 206 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: APPLICATION FOOTPRINT 199 TABLE 207 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: DETAILED LIST OF KEY STARTUPS/SMES 202 TABLE 208 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES (1/2) 202 TABLE 209 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES (2/2) 203 TABLE 210 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: PRODUCT LAUNCHES, JANUARY 2021–NOVEMBER 2025 203 TABLE 211 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: DEALS, JANUARY 2021–NOVEMBER 2025 205 TABLE 212 IBM: COMPANY OVERVIEW 206 TABLE 213 IBM: PRODUCT/SOLUTIONS/SERVICES OFFERINGS 207 TABLE 214 IBM: PRODUCT LAUNCHES 208 TABLE 215 SIEMENS: COMPANY OVERVIEW 209 TABLE 216 SIEMENS: PRODUCT/SOLUTIONS/SERVICES OFFERINGS 210 TABLE 217 SIEMENS: PRODUCT LAUNCHES 211 TABLE 218 SIEMENS: DEALS 212 TABLE 219 SAP SE: BUSINESS OVERVIEW 213 TABLE 220 SAP SE: PRODUCT/SOLUTIONS/SERVICES OFFERINGS 214 TABLE 221 GE VERNOVA: COMPANY OVERVIEW 216 TABLE 222 GE VERNOVA: PRODUCT/SOLUTIONS/SERVICES OFFERINGS 217 TABLE 223 GE VERNOVA: PRODUCT LAUNCHES 218 TABLE 224 GE VERNOVA: DEALS 218 TABLE 225 GE VERNOVA: OTHER DEVELOPMENTS 218 TABLE 226 C3.AI: COMPANY OVERVIEW 220 TABLE 227 C3.AI: PRODUCT/SOLUTIONS/SERVICES OFFERINGS 221 TABLE 228 C3 .AI: PRODUCT ENHANCEMENTS 222 TABLE 229 C3.AI: DEALS 222 TABLE 230 C3.AI: OTHER DEVELOPMENTS 223 TABLE 231 ABB: COMPANY OVERVIEW 224 TABLE 232 ABB: PRODUCT/SOLUTIONS/SERVICES OFFERINGS 225 TABLE 233 ABB: DEALS 226 TABLE 234 SCHNEIDER ELECTRIC: COMPANY OVERVIEW 227 TABLE 235 SCHNEIDER ELECTRIC: PRODUCT/SOLUTIONS/SERVICES OFFERINGS 228 TABLE 236 SCHNEIDER ELECTRIC: PRODUCT LAUNCHES 229 TABLE 237 SCHNEIDER ELECTRIC: DEALS 229 TABLE 238 HITACHI, LTD.: COMPANY OVERVIEW 230 TABLE 239 HITACHI, LTD.: PRODUCT/SOLUTIONS/SERVICES OFFERINGS 231 TABLE 240 HITACHI, LTD.: PRODUCT LAUNCHES 232 TABLE 241 HITACHI, LTD.: DEALS 232 TABLE 242 L&T TECHNOLOGY SERVICES LIMITED: COMPANY OVERVIEW 233 TABLE 243 L&T TECHNOLOGY SERVICES LIMITED: PRODUCT/SOLUTIONS/SERVICES OFFERINGS 234 TABLE 244 L&T TECHNOLOGY SERVICES LIMITED: PRODUCT LAUNCHES 235 TABLE 245 L&T TECHNOLOGY SERVICES LIMITED: OTHER DEALS 235 TABLE 246 UPTAKE TECHNOLOGIES INC.: COMPANY OVERVIEW 236 TABLE 247 UPTAKE TECHNOLOGIES INC.: PRODUCT/SOLUTIONS/SERVICES OFFERINGS 236 TABLE 248 UPTAKE: PRODUCT LAUNCHES 237 TABLE 249 MAJOR SECONDARY SOURCES 256 TABLE 250 PRIMARY INTERVIEW PARTICIPANTS 258 TABLE 251 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: RESEARCH ASSUMPTIONS 264 TABLE 252 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: RISK ANALYSIS 265 FIGURE 1 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET SEGMENTATION AND REGIONAL SCOPE 27 FIGURE 2 KEY INSIGHTS AND MARKET HIGHLIGHTS 30 FIGURE 3 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, 2026–2032 30 FIGURE 4 MAJOR STRATEGIES ADOPTED BY KEY PLAYERS IN AI-DRIVEN PREDICTIVE MAINTENANCE MARKET (JANUARY 2022–MARCH 2026) 31 FIGURE 5 DISRUPTIVE TRENDS IMPACTING GROWTH OF THE AI-DRIVEN PREDICTIVE MAINTENANCE MARKET 32 FIGURE 6 HIGH-GROWTH SEGMENTS AND EMERGING FRONTIERS IN AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, 2026-2032 32 FIGURE 7 ASIA PACIFIC EXPECTED TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 33 FIGURE 8 INCREASING ASSET COMPLEXITY AND NEED FOR REAL-TIME MONITORING TO DRIVE ADOPTION OF PREDICTIVE MAINTENANCE SOLUTIONS 34 FIGURE 9 SOFTWARE TO ACCOUNT FOR MAJORITY OF MARKET SHARE IN 2032 35 FIGURE 10 INTEGRATED SOLUTIONS TO HOLD LARGEST MARKET SHARE IN 2032 35 FIGURE 11 CLOUD-BASED TO SECURE PROMINENT MARKET SHARE IN 2032 36 FIGURE 12 LARGE ENTERPRISES TO SECURE PROMINENT MARKET SHARE IN 2032 36 FIGURE 13 VIBRATION ANALYSIS TO SECURE PROMINENT MARKET SHARES IN 2032 37 FIGURE 14 MANUFACTURING TO SECURE PROMINENT MARKET SHARE IN 2032 37 FIGURE 15 INDIA TO RECORD HIGHEST CAGR IN GLOBAL MARKET DURING FORECAST PERIOD 38 FIGURE 16 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 39 FIGURE 17 IMPACT ANALYSIS: DRIVERS 42 FIGURE 18 IMPACT ANALYSIS: RESTRAINTS 43 FIGURE 19 IMPACT ANALYSIS: OPPORTUNITIES 45 FIGURE 20 IMPACT ANALYSIS: CHALLENGES 46 FIGURE 21 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: PORTER'S FIVE FORCES ANALYSIS 50 FIGURE 22 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: VALUE CHAIN ANALYSIS 54 FIGURE 23 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: ECOSYSTEM ANALYSIS 55 FIGURE 24 AVERAGE SELLING PRICE TREND OF SOFTWARE, BY REGION, 2022–2025 (USD) 58 FIGURE 25 IMPORT DATA FOR HS CODE 847150-COMPLIANT PRODUCTS FOR TOP FIVE COUNTRIES, 2020–2024 58 FIGURE 26 EXPORT DATA FOR HS CODE 847150-COMPLIANT PRODUCTS FOR TOP FIVE COUNTRIES, 2020–2024 59 FIGURE 27 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 62 FIGURE 28 INVESTMENT AND FUNDING SCENARIO, 2023–2025 62 FIGURE 29 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: PATENT ANALYSIS, 2016–2025 72 FIGURE 30 DECISION-MAKING FACTORS IN AI-DRIVEN PREDICTIVE MAINTENANCE MARKET 79 FIGURE 31 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 END USERS 80 FIGURE 32 KEY BUYING CRITERIA FOR TOP 3 END USERS 81 FIGURE 33 ADOPTION BARRIERS AND INTERNAL CHALLENGES 82 FIGURE 34 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY OFFERING 85 FIGURE 35 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY SOLUTION 90 FIGURE 36 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY DEPLOYMENT MODE 94 FIGURE 37 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY ORGANIZATION SIZE 97 FIGURE 38 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY TECHNIQUE 102 FIGURE 39 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET, BY INDUSTRY 112 FIGURE 40 NORTH AMERICA TO HOLD LARGEST MARKET SHARE THROUGHOUT FORECAST PERIOD 147 FIGURE 41 NORTH AMERICA: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET SNAPSHOT 148 FIGURE 42 EUROPE: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET SNAPSHOT 156 FIGURE 43 ASIA PACIFIC: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET SNAPSHOT 167 FIGURE 44 ROW: AI-DRIVEN PREDICTIVE MAINTENANCE MARKET SNAPSHOT 178 FIGURE 45 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: REVENUE ANALYSIS OF KEY PLAYERS, 2022–2025 187 FIGURE 46 MARKET SHARE ANALYSIS, 2025 187 FIGURE 47 COMPANY VALUATION, 2025 191 FIGURE 48 FINANCIAL METRICS (EV/EBITDA), 2025 191 FIGURE 49 BRAND COMPARISON 192 FIGURE 50 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2025 194 FIGURE 51 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: COMPANY FOOTPRINT 195 FIGURE 52 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2025 201 FIGURE 53 IBM: COMPANY SNAPSHOT 207 FIGURE 54 SIEMENS: COMPANY SNAPSHOT 210 FIGURE 55 SAP SE: COMPANY SNAPSHOT 214 FIGURE 56 GE VERNOVA: COMPANY SNAPSHOT 217 FIGURE 57 C3.AI: COMPANY SNAPSHOT 221 FIGURE 58 ABB: COMPANY SNAPSHOT 225 FIGURE 59 SCHNEIDER ELECTRIC: COMPANY SNAPSHOT 228 FIGURE 60 HITACHI, LTD.: COMPANY SNAPSHOT 231 FIGURE 61 L&T TECHNOLOGY SERVICES LIMITED: COMPANY SNAPSHOT 234 FIGURE 62 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: RESEARCH DESIGN 253 FIGURE 63 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: RESEARCH APPROACH 255 FIGURE 64 DATA CAPTURED FROM SECONDARY SOURCES 256 FIGURE 65 DATA CAPTURED FROM PRIMARY SOURCES 257 FIGURE 66 BREAKDOWN OF PRIMARY INTERVIEWS, BY COMPANY TYPE, DESIGNATION, AND REGION 258 FIGURE 67 CORE FINDINGS FROM INDUSTRY EXPERTS 258 FIGURE 68 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: RESEARCH FLOW 259 FIGURE 69 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: BOTTOM-UP APPROACH 260 FIGURE 70 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: TOP-DOWN APPROACH 260 FIGURE 71 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET SIZE ESTIMATION (SUPPLY SIDE) 261 FIGURE 72 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: DATA TRIANGULATION 263 FIGURE 73 AI-DRIVEN PREDICTIVE MAINTENANCE MARKET: RESEARCH LIMITATIONS 265

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