AIを活用した予知保全市場規模、シェア、動向、2032年までの世界予測

AIを活用した予測保全市場は、2026年の26億1,000万米ドルから2032年には192億7,000万米ドルに成長し、2026年から2032年までの年平均成長率（CAGR）は39.5%に達するとMarketsandMarketsでは予測しています。業界全体でコスト最適化と資産ライフサイクル延長への注目が高まっていることが、市場成長の原動力となっています。企業は、重要な機器の効率と寿命を最大化しながらメンテナンスコストを削減するというプレッシャーにさらされており、事後対応型および計画的なメンテナンスからデータ駆動型のアプローチへの移行が進んでいます。AIを活用した予測保全ソリューションは、潜在的な故障を事前に特定し、スペアパーツの在庫を最適化し、不要なメンテナンス活動を削減することで、運用コストを削減し、資産収益率を向上させます。このコスト効率のメリットにより、製造業、エネルギー、運輸業、その他の資産集約型セクターで広く導入が進んでいます。

調査概要：

本調査レポートは、AIを活用した予測保守市場を、提供製品、ソリューション、導入形態、組織規模、技術、業界、地域に基づいて分類しています。レポートでは、市場の主要な推進要因、阻害要因、課題、機会について解説し、2032年までの予測を示しています。さらに、エコシステム内の全企業のリーダーシップマッピングと分析も含まれています。

レポート購入の主なメリット

本レポートは、市場全体および各サブセグメントの数値に関する最も正確な近似値を提供することで、市場リーダーや新規参入企業を支援します。また、関係者が競争環境を理解し、事業をより効果的に位置づけ、適切な市場参入戦略を策定するための洞察を得るのに役立ちます。さらに、市場の動向を把握し、主要な市場推進要因、阻害要因、課題、機会に関する情報を提供します。

本レポートは、以下のポイントに関する洞察を提供します。

• 主要推進要因の分析（リアルタイム状態監視システムの需要増加、予期せぬ機器停止時間の削減に対する需要増加、インダストリー4.0およびスマートマニュファクチャリングの普及拡大、IoT対応コネクテッドアセットおよびセンサーの拡大）
• 製品開発／イノベーション：今後の技術、研究開発活動、および市場における新製品発売に関する詳細な洞察
• 市場開発：有望な市場に関する包括的な情報 ― 本レポートは、様々な地域における市場を分析します。
• 市場の多様化：新製品、未開拓地域、最近の動向、および市場への投資に関する包括的な情報
• 競合評価：IBM（米国）、シーメンス（ドイツ）、SAP SE（ドイツ）、GE Vernova（米国）、C3.ai（米国）などの主要市場プレーヤーの市場シェア、成長戦略、およびサービス提供に関する詳細な評価

Report Description

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)

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

LIST OF TABLES

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

LIST OF FIGURES

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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