予知保全市場：コンポーネント別、手法別、企業規模別、エンドユーザー業界別、地域別、機会、予測、2018年～2032年

世界の予知保全の市場規模は、2025年～2032年の予測期間中に31.95％のCAGRで拡大し、2024年の109億米ドルから2032年には1,001億6,000万米ドルに成長すると予測されています。

IoTデバイスの普及により、IoT技術の統合が予知保全市場を大きく変化させています。Ericsson ABによると、2022年には、特に4Gおよび5Gネットワークを通じたブロードバンドIoTは13億接続に達し、セルラーIoTデバイスの最大シェアをつなぐ主要技術として確立されました。この広範な接続性により、企業は膨大な量のデータをリアルタイムで収集・分析できるようになり、設備や機械の正確な監視が容易になります。そのため、企業はIoTを統合することで、潜在的な故障を防ぐためにタイムリーな介入を行うことができ、単純なデータ収集以上のメリットを得ることができます。企業は、IoTが提供する機能によって、メンテナンス・スケジュールを最適化し、ダウンタイムを削減し、可能な限り低い運用コストでシステムを運用することができます。時間ベースのメンテナンス・スケジュールに従うのではなく、必要なときに必要なメンテナンスを行うだけのコンディション・ベースとすることができます。つまり、運用効率を高めつつ、重要な資産の寿命を延ばすことができます。

また、IoT機器からのリアルタイム・データは、メンテナンス・チームが機器の正確な健康状態を分析し、メンテナンスの適切な時期を判断できるため、意思決定プロセスの改善にも役立ちます。このようなプロアクティブな行動は、多大なコストやプロセスの麻痺さえ招きかねない突然の故障を回避します。ブロードバンドIoTの導入が加速するにつれ、予知保全市場は大きく成長します。高度な接続性とデータ分析の組み合わせにより、組織はよりインテリジェントなメンテナンス戦略を採用できるようになります。さらに、IoTの統合は、メンテナンスの実践を改善し、事業運営に革命をもたらし、生産性の向上とサービス提供の改善をもたらします。

当レポートでは、世界の予知保全市場について調査し、市場の概要とともに、コンポーネント別、手法別、企業規模別、エンドユーザー業界別、地域別動向、および市場に参入する企業のプロファイルなどを提供しています。

目次

第1章 プロジェクトの範囲と定義

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界の予知保全市場の見通し、2018年～2032年

• 市場規模の分析と予測
• 市場シェア分析と予測
• 市場マップ分析、2024年
  • コンポーネント別
  • 手法別
  • 企業規模別
  • エンドユーザー業界別
  • 地域別

第6章 北米の予知保全市場の見通し、2018年～2032年

第7章 欧州の予知保全市場の見通し、2018年～2032年

第8章 アジア太平洋の予知保全市場の見通し、2018年～2032年

第9章 南米の予知保全市場の見通し、2018年～2032年

第10章 中東・アフリカの予知保全市場の見通し、2018年～2032年

第11章 ポーターのファイブフォース分析

第12章 PESTLE分析

第13章 市場力学

第14章 市場の動向と発展

第15章 ケーススタディ

第16章 競合情勢

• 市場リーダートップ5の競合マトリックス
• 参入企業トップ5のSWOT分析
• 市場の主要参入企業トップ10の情勢
  • Amazon Web Services, Inc.
  • Google LLC (Alphabet Inc.)
  • Hitachi, Ltd.
  • International Business Machines Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • SAS Institute Inc.
  • Schneider Electric SE
  • Siemens AG

第17章 戦略的提言

第18章 お問い合わせと免責事項

List of Tables

• Table 1. Pricing Analysis of Products from Key Players
• Table 2. Competition Matrix of Top 5 Market Leaders
• Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
• Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

• Figure 1. Global Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 2. Global Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 3. Global Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 4. Global Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 5. Global Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 6. Global Predictive Maintenance Market Share (%), By Region, 2018-2032F
• Figure 7. North America Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 8. North America Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 9. North America Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 10. North America Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 11. North America Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 12. North America Predictive Maintenance Market Share (%), By Country, 2018-2032F
• Figure 13. United States Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 14. United States Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 15. United States Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 16. United States Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 17. United States Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 18. Canada Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 19. Canada Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 20. Canada Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 21. Canada Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 22. Canada Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 23. Mexico Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 24. Mexico Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 25. Mexico Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 26. Mexico Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 27. Mexico Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 28. Europe Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 29. Europe Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 30. Europe Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 31. Europe Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 32. Europe Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 33. Europe Predictive Maintenance Market Share (%), By Country, 2018-2032F
• Figure 34. Germany Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 35. Germany Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 36. Germany Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 37. Germany Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 38. Germany Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 39. France Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 40. France Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 41. France Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 42. France Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 43. France Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 44. Italy Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 45. Italy Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 46. Italy Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 47. Italy Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 48. Italy Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 49. United Kingdom Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 50. United Kingdom Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 51. United Kingdom Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 52. United Kingdom Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 53. United Kingdom Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 54. Russia Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 55. Russia Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 56. Russia Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 57. Russia Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 58. Russia Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 59. Netherlands Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 60. Netherlands Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 61. Netherlands Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 62. Netherlands Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 63. Netherlands Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 64. Spain Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 65. Spain Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 66. Spain Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 67. Spain Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 68. Spain Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 69. Turkey Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 70. Turkey Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 71. Turkey Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 72. Turkey Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 73. Turkey Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 74. Poland Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 75. Poland Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 76. Poland Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 77. Poland Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 78. Poland Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 79. South America Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 80. South America Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 81. South America Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 82. South America Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 83. South America Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 84. South America Predictive Maintenance Market Share (%), By Country, 2018-2032F
• Figure 85. Brazil Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 86. Brazil Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 87. Brazil Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 88. Brazil Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 89. Brazil Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 90. Argentina Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 91. Argentina Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 92. Argentina Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 93. Argentina Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 94. Argentina Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 95. Asia-Pacific Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 96. Asia-Pacific Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 97. Asia-Pacific Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 98. Asia-Pacific Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 99. Asia-Pacific Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 100. Asia-Pacific Predictive Maintenance Market Share (%), By Country, 2018-2032F
• Figure 101. India Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 102. India Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 103. India Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 104. India Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 105. India Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 106. China Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 107. China Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 108. China Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 109. China Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 110. China Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 111. Japan Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 112. Japan Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 113. Japan Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 114. Japan Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 115. Japan Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 116. Australia Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 117. Australia Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 118. Australia Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 119. Australia Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 120. Australia Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 121. Vietnam Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 122. Vietnam Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 123. Vietnam Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 124. Vietnam Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 125. Vietnam Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 126. South Korea Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 127. South Korea Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 128. South Korea Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 129. South Korea Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 130. South Korea Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 131. Indonesia Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 132. Indonesia Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 133. Indonesia Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 134. Indonesia Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 135. Indonesia Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 136. Philippines Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 137. Philippines Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 138. Philippines Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 139. Philippines Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 140. Philippines Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 141. Middle East & Africa Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 142. Middle East & Africa Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 143. Middle East & Africa Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 144. Middle East & Africa Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 145. Middle East & Africa Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 146. Middle East & Africa Predictive Maintenance Market Share (%), By Country, 2018-2032F
• Figure 147. Saudi Arabia Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 148. Saudi Arabia Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 149. Saudi Arabia Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 150. Saudi Arabia Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 151. Saudi Arabia Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 152. UAE Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 153. UAE Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 154. UAE Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 155. UAE Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 156. UAE Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 157. South Africa Predictive Maintenance Market, By Value, In USD Billion, 2018-2032F
• Figure 158. South Africa Predictive Maintenance Market Share (%), By Component, 2018-2032F
• Figure 159. South Africa Predictive Maintenance Market Share (%), By Technique, 2018-2032F
• Figure 160. South Africa Predictive Maintenance Market Share (%), By Company Size, 2018-2032F
• Figure 161. South Africa Predictive Maintenance Market Share (%), By End-User Industry, 2018-2032F
• Figure 162. By Component Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 163. By Technique Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 164. By Company Size Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 165. By End-User Industry Map-Market Size (USD Billion) & Growth Rate (%), 2024
• Figure 166. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2024

Global predictive maintenance market is projected to witness a CAGR of 31.95% during the forecast period 2025-2032, growing from USD 10.90 billion in 2024 to USD 100.16 billion in 2032.

The integration of IoT technology is profoundly reshaping the predictive maintenance market owing to the proliferation of IoT devices. According to Ericsson AB, in 2022, broadband IoT, particularly through 4G and 5G networks, reached an impressive 1.3 billion connections establishing itself as the primary technology linking the largest share of cellular IoT devices. This extensive connectivity empowers businesses to collect and analyze vast amounts of data in real time, facilitating accurate monitoring of equipment and machinery. Thus, organizations can make timely interventions to prevent potential failures with the integration of IoT, which offers benefits more than simple data collection. The company can optimize its maintenance schedules, reduce downtimes, and operate the system at the lowest operational costs possible with the capabilities offered by IoT. It can be condition-based only to maintain, when necessary, rather than following a time-based maintenance schedule. This means it enhances operational efficiency but prolongs the life of critical assets.

Real-time data from IoT devices also helps improve the decision-making process as the maintenance team can analyze the exact health of equipment and determine the proper time for maintenance. Such proactive actions avoid sudden breakdowns that can significantly cost money and even paralyze the process. The predictive maintenance market is set for significant growth as the adoption of broadband IoT continues to accelerate. The combination of advanced connectivity and data analytics enables organizations to adopt more intelligent maintenance strategies. Additionally, the integration of IoT is improving maintenance practices and revolutionizing business operations, resulting in increased productivity and better service delivery.

For example, in August 2024, Asahi Kasei Engineering Co., Ltd. introduced V-MO, developed with joint efforts by Mitsui O.S.K. Lines (MOL), a cloud-based predictive maintenance service for ocean vessel motors that enhances operational efficiency through timely repairs before vessels reach port.

Increased Demand for Operational Efficiency Drives Growth in the Market

The growing demand for operational efficiency has significantly driven the growth of predictive maintenance. The need to achieve higher productivity with lower cost enables organizations to make a significant realization about the switch from a reactive to a proactive approach for maintenance. Predictive maintenance utilizes advanced technologies, like IoT sensors and data analytics, that enable real-time monitoring of equipment health. Hence, businesses can predict failures before they happen, minimizing unplanned downtime, which can be costly and disruptive to operations.

The flexibility of optimizing maintenance schedules according to actual equipment conditions instead of fixed intervals allows resources to be better allocated. Companies can focus on maintenance activities that are directly linked to productivity and, thus, improve asset utilization. Therefore, increasing awareness of these advantages is fueling more investment in predictive maintenance solutions as organizations can save costs, resulting in improved operational performance and further accelerating predictive maintenance market growth as companies drive for an increasingly competitive edge in a demanding marketplace.

For example, in June 2024, Hitachi Industrial Equipment Systems Co., Ltd. launched a predictive diagnosis service for air compressors that utilizes machine learning and maintenance expertise to enhance efficiency, prevent equipment stoppages, and reduce environmental impact on factory operations.

Shift Towards Condition-Based Maintenance Boosting the Predictive Maintenance Market

The shift toward condition-based maintenance models significantly fuels the growth of the predictive maintenance market. Condition-based maintenance focuses on the actual condition of equipment and is performed only when necessary, unlike traditional time-based maintenance. Predictive maintenance offers these benefits through the integration of advanced technologies such as IoT sensors, machine learning, and data analytics for continuous monitoring of equipment performance and health, fueling the predictive maintenance market growth in the forecasted period.

Organizations are becoming aware of the inadequacies of time-based strategies, resulting in organizations applying condition-based maintenance to raise efficiency and minimize unnecessary maintenance expenses. Companies also aim to minimize their unplanned downtime by the predictive approach while implementing maintenance, thereby enabling them to prolong their lifetime assets. This condition-based maintenance makes possible optimal resource deployment, ensuring that efforts go where maintenance is most urgently required. This transition optimizes operational performance and aligns with the growing emphasis on sustainability and resource efficiency. Thus, the demand for predictive maintenance market is witnessing the rise in the adoption of these solutions as businesses seek more effective maintenance strategies.

For example, in August 2024, Equinor ASA enhanced asset performance by implementing condition-based maintenance through SAP Asset Performance Management, transitioning from manual processes to a data-driven approach that optimizes asset health and performance, enabling more efficient resource allocation and decision-making.

Government Initiatives Fueling Predictive Maintenance Market Growth

Government initiatives are significant in the predictive maintenance market as they further push for advanced technologies and channel innovation in this field. There are programs like Manufacturing USA promoted by the Advanced Manufacturing National Program Office (AMNPO) in the United States. The AMNPO gives funding and resources for such research and development to go into the integration of manufacturers using IoT and data analytics. This improves efficiency while cutting operational costs, which makes companies competitive in a predictive maintenance market, creating a huge demand for these solutions. Similarly, the European Union's Horizon Europe pushes for digital transformation and sustainable transition across industries such as the manufacturing and transportation sectors, thereby supporting predictive maintenance technology as part of funding projects in developed advanced analytics and machine learning applications. This encourages enterprises to invest in predictive maintenance practices, enhancing operational effectiveness and reducing environmental impacts. This creates a strong market climate that fosters revenue growth for solution providers as these government programs energize innovation and adoption of predictive maintenance practices, thereby beneficially impacting industries that desire improved performance and sustainability.

For example, in November 2024, Manufacturing USA unveiled its 2024 Strategic Plan, which outlines its vision, mission, and goals to enhance the United States' manufacturing competitiveness. The plan emphasizes technology investment, workforce development, and collaboration to foster innovative, scalable manufacturing capabilities across the nation.

IT and Telecommunications Industry Dominates in Predictive Maintenance Market

The manufacturing industry is dominating the lead in predictive maintenance, using advanced technologies to boost efficiency and cut down operational costs. Predictive maintenance becomes critical in anticipation of equipment failures before they occur as manufacturers rely on more complex machinery. Companies can optimize maintenance schedules, thereby minimizing unplanned downtime and extending asset lifespan, by using IoT, data analytics, and machine learning. Predictive maintenance helps manufacturers to make data-driven decisions and enhance overall operational strategies. It is a proactive approach that enhances productivity and offers a competitive edge in the rapidly evolving predictive maintenance market. The manufacturing sector's adoption of such innovative solutions drives significant growth in the predictive maintenance market and makes it a key player in technological advancement and operational excellence.

North America Leads Predictive Maintenance Market Share

North America is leading the predictive maintenance market with specific government actions and key industry players. Implementing various initiatives in the United States government, such as the Advanced Manufacturing Partnership and the National Institute of Standards and Technology's Smart Manufacturing Program, aimed to promote advanced manufacturing technologies. Furthermore, the federal and state governments' huge investments in the infrastructure have focused on upgrading obsolete assets, which has resulted in a significant increase in the demand for predictive maintenance solutions. Industry majors in North America are emphasizing the building of complex analytics platforms and IoT sensors capable of real-time monitoring equipment. Furthermore, collaborations between companies and research institutions boost innovation and lead to sector-specific tailored predictive maintenance solutions in aerospace, automotive, energy, etc. North America has taken the lead position through supportive policies and an innovation ecosystem that will drive widespread adoption and technological advancements in the predictive maintenance market.

For instance, in June 2024, C3 AI, Inc. and Holcim Group AG deployed C3 AI Reliability for predictive maintenance across Holcim's global network that enhances operational efficiency and sustainability in cement manufacturing as part of Holcim's Plants of Tomorrow digital transformation initiative.

Future Market Scenario (2025-2032F)

Advanced artificial intelligence and machine learning algorithms may offer more accurate predictions of equipment failures, optimizing maintenance schedules and minimizing downtime.

The widespread adoption of digital twin technology will enable organizations to develop asset real-time virtual replicas, thereby enabling sophisticated monitoring and proactive maintenance strategies.

Predictive maintenance will grow beyond manufacturing and energy, penetrating sectors such as agriculture, healthcare, and transportation with continuous innovation to save on costs and improve safety.

The proliferation of IoT devices will drive edge computing, enabling real-time data processing and quicker decision-making, further enhancing the effectiveness of predictive maintenance solutions.

Key Players Landscape and Outlook

The predictive maintenance market exhibits a diverse landscape of key players consisting of technology providers, software developers, and companies focused on IoT solutions, where these entities are in continuous collaboration to integrate advanced analytics, machine learning, and IoT capabilities into their services. The predictive maintenance market is expanding and is maintained by the growing demand for operational efficiency and cost reduction across industries. Organizations are recognizing the importance of data-based decision-making and will further invest in predictive maintenance technology. Integration with artificial intelligence and edge computing for predictive maintenance is a major trend, thereby providing real-time analytics and quicker responses. It will enable easy connectivity among devices and facilitate a good effect of predictive maintenance strategy as 5G networks become widespread. Hence, the predictive maintenance market is forecasted to grow strongly, with immense technology and application advancements across different sectors.

In October 2024, Cognizant Technology Solutions Corporation entered into a strategic collaboration agreement with Amazon Web Services, Inc. to enhance smart manufacturing capabilities, leveraging generative AI and IoT solutions for global enterprises in automotive, life sciences, and consumer goods.

In June 2024, Hitachi Ltd. and Microsoft Corp. partnered on a multibillion-dollar project to integrate Microsoft cloud services and generative AI into Hitachi's Lumada Solutions, enhancing productivity and innovation across industries over three years.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

• 4.1. Product and Market Intelligence
• 4.2. Mode of Brand Awareness
• 4.3. Factors Considered in Purchase Decisions
  • 4.3.1. Features and Other Value-Added Service
  • 4.3.2. IT Infrastructure Compatibility
  • 4.3.3. Efficiency of Solutions
  • 4.3.4. After-Sales Support
• 4.4. Consideration of Privacy and Regulations

5. Global Predictive Maintenance Market Outlook, 2018-2032F

• 5.1. Market Size Analysis & Forecast
  • 5.1.1. By Value
• 5.2. Market Share Analysis & Forecast
  • 5.2.1. By Component
    • 5.2.1.1. Solution
      • 5.2.1.1.1. Integrated
      • 5.2.1.1.2. Standalone
    • 5.2.1.2. Services
      • 5.2.1.2.1. Professional Services
      • 5.2.1.2.2. Managed Services
  • 5.2.2. By Technique
    • 5.2.2.1. Vibration Analysis
    • 5.2.2.2. Infrared Thermography
    • 5.2.2.3. Acoustic Monitoring
    • 5.2.2.4. Oil Analysis
    • 5.2.2.5. Motor Circuit Analysis
    • 5.2.2.6. Others
  • 5.2.3. By Company Size
    • 5.2.3.1. Large Enterprises (>1000 Employees)
    • 5.2.3.2. Small and Medium Enterprises (SMEs) (<1000 Employees)
  • 5.2.4. By End-User Industry
    • 5.2.4.1. Manufacturing
    • 5.2.4.2. Energy and Utilities
    • 5.2.4.3. Aerospace and Defense
    • 5.2.4.4. Healthcare
    • 5.2.4.5. Automotive
    • 5.2.4.6. Transportation and Logistics
    • 5.2.4.7. IT and Telecommunication
    • 5.2.4.8. Others
  • 5.2.5. By Region
    • 5.2.5.1. North America
    • 5.2.5.2. Europe
    • 5.2.5.3. Asia-Pacific
    • 5.2.5.4. South America
    • 5.2.5.5. Middle East and Africa
  • 5.2.6. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
• 5.3. Market Map Analysis, 2024
  • 5.3.1. By Component
  • 5.3.2. By Technique
  • 5.3.3. By Company Size
  • 5.3.4. By End-User Industry
  • 5.3.5. By Region

6. North America Predictive Maintenance Market Outlook, 2018-2032F *

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Component
    • 6.2.1.1. Solution
      • 6.2.1.1.1. Integrated
      • 6.2.1.1.2. Standalone
    • 6.2.1.2. Services
      • 6.2.1.2.1. Professional Services
      • 6.2.1.2.2. Managed Services
  • 6.2.2. By Technique
    • 6.2.2.1. Vibration Analysis
    • 6.2.2.2. Infrared Thermography
    • 6.2.2.3. Acoustic Monitoring
    • 6.2.2.4. Oil Analysis
    • 6.2.2.5. Motor Circuit Analysis
    • 6.2.2.6. Others
  • 6.2.3. By Company Size
    • 6.2.3.1. Large Enterprises (>1000 Employees)
    • 6.2.3.2. Small and Medium Enterprises (SMEs) (<1000 Employees)
  • 6.2.4. By End-User Industry
    • 6.2.4.1. Manufacturing
    • 6.2.4.2. Energy and Utilities
    • 6.2.4.3. Aerospace and Defense
    • 6.2.4.4. Healthcare
    • 6.2.4.5. Automotive
    • 6.2.4.6. Transportation and Logistics
    • 6.2.4.7. IT and Telecommunication
    • 6.2.4.8. Others
  • 6.2.5. By Country Share
    • 6.2.5.1. United States
    • 6.2.5.2. Canada
    • 6.2.5.3. Mexico
• 6.3. Country Market Assessment
  • 6.3.1. United States Predictive Maintenance Market Outlook, 2018-2032F*
    • 6.3.1.1. Market Size Analysis & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share Analysis & Forecast
      • 6.3.1.2.1. By Component
        • 6.3.1.2.1.1. Solution
        • 6.3.1.2.1.1.1. Integrated
        • 6.3.1.2.1.1.2. Standalone
        • 6.3.1.2.1.2. Services
        • 6.3.1.2.1.2.1. Professional Services
        • 6.3.1.2.1.2.2. Managed Services
      • 6.3.1.2.2. By Technique
        • 6.3.1.2.2.1. Vibration Analysis
        • 6.3.1.2.2.2. Infrared Thermography
        • 6.3.1.2.2.3. Acoustic Monitoring
        • 6.3.1.2.2.4. Oil Analysis
        • 6.3.1.2.2.5. Motor Circuit Analysis
        • 6.3.1.2.2.6. Others
      • 6.3.1.2.3. By Company Size
        • 6.3.1.2.3.1. Large Enterprises (>1000 Employees)
        • 6.3.1.2.3.2. Small and Medium Enterprises (SMEs) (<1000 Employees)
      • 6.3.1.2.4. By End-User Industry
        • 6.3.1.2.4.1. Manufacturing
        • 6.3.1.2.4.2. Energy and Utilities
        • 6.3.1.2.4.3. Aerospace and Defense
        • 6.3.1.2.4.4. Healthcare
        • 6.3.1.2.4.5. Automotive
        • 6.3.1.2.4.6. Transportation and Logistics
        • 6.3.1.2.4.7. IT and Telecommunication
        • 6.3.1.2.4.8. Others
  • 6.3.2. Canada
  • 6.3.3. Mexico

All segments will be provided for all regions and countries covered

7. Europe Predictive Maintenance Market Outlook, 2018-2032F

• 7.1. Germany
• 7.2. France
• 7.3. Italy
• 7.4. United Kingdom
• 7.5. Russia
• 7.6. Netherlands
• 7.7. Spain
• 7.8. Turkey
• 7.9. Poland

8. Asia-Pacific Predictive Maintenance Market Outlook, 2018-2032F

• 8.1. India
• 8.2. China
• 8.3. Japan
• 8.4. Australia
• 8.5. Vietnam
• 8.6. South Korea
• 8.7. Indonesia
• 8.8. Philippines

9. South America Predictive Maintenance Market Outlook, 2018-2032F

• 9.1. Brazil
• 9.2. Argentina

10. Middle East and Africa Predictive Maintenance Market Outlook, 2018-2032F

• 10.1. Saudi Arabia
• 10.2. UAE
• 10.3. South Africa

11. Porter's Five Forces Analysis

12. PESTLE Analysis

13. Market Dynamics

• 13.1. Market Drivers
• 13.2. Market Challenges

14. Market Trends and Developments

15. Case Studies

16. Competitive Landscape

• 16.1. Competition Matrix of Top 5 Market Leaders
• 16.2. SWOT Analysis for Top 5 Players
• 16.3. Key Players Landscape for Top 10 Market Players
  • 16.3.1. Amazon Web Services, Inc.
    • 16.3.1.1. Company Details
    • 16.3.1.2. Key Management Personnel
    • 16.3.1.3. Products and Services
    • 16.3.1.4. Financials (As Reported)
    • 16.3.1.5. Key Market Focus and Geographical Presence
    • 16.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 16.3.2. Google LLC (Alphabet Inc.)
  • 16.3.3. Hitachi, Ltd.
  • 16.3.4. International Business Machines Corporation
  • 16.3.5. Microsoft Corporation
  • 16.3.6. Oracle Corporation
  • 16.3.7. SAP SE
  • 16.3.8. SAS Institute Inc.
  • 16.3.9. Schneider Electric SE
  • 16.3.10. Siemens AG

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

17. Strategic Recommendations

18. About Us and Disclaimer