Global Operational Predictive Maintenance Market is expected to grow at a CAGR of 25.2% during the forecast period, to reach US$ 30.23 Bn. by 2029. The report covers an in-depth analysis of COVID-19 pandemic impact on Global Operational Predictive Maintenance Market by region and on the key players revenue affected till July 2020 and expected short term and long-term impact on the market.To know about the Research Methodology :- Request Free Sample Report
Operational Predictive Maintenance Market Dynamics:
Operational predictive maintenance software can retrieve several data sources in real time to predict quality problems or asset loss. The implementation of these technological technologies would make it easier for companies to avoid downtime and reduce maintenance costs. Operational predictive analysis systems identify failure trends and small irregularities in the determination of properties and operating processes that are at the highest risk of failure. Operational predictive maintenance software increases equipment uptime and improves supply chain processes and efficiency. One of the main factors in increasing the use of these software solutions is their ability to reliably foresee asset loss, allowing businesses to take the asset out of production, resulting in an efficient supply chain. For instance, In May 2019, Microsoft partnered with NXP Semiconductors to offer AI and ML anomaly detection capabilities to Azure IoT users. The two companies jointly released the latest Anomaly Detection Technology for Azure IoT. The solution included predictive maintenance functionality for rotating parts, presence detection and intrusion detection to avoid failures and minimise downtime to increase efficiency and device safety. The increasing adoption of enterprise business features by cloud-based Software as a Service (SaaS) providers has increased the need to incorporate multiple application providers and services to serve the enterprise. Cloud-based operational predictive maintenance solutions market is projected to show the fastest growth enabling businesses to reduce their reliance on data mining, data integration and IT specialists. However, lack of preparation for operators and lack of faith in predictive maintenance technologies are hindering the growth of the industry. Growing demand for real-time steaming analytics and increasing demand from small and medium-sized enterprises (SMEs) is expected to generate huge opportunities for companies operating in the operational predictive maintenance industry. Global Operational Predictive Maintenance Market is segmented by Offering, by deployment, industry vertical, and organization size and by region. By Offering, Solutionisanticipated to account for a major share during the forecast period in 2022 and is expected to keep its dominance over the forecast period owing to the increasing tablet and smartphone ownership along with enormous product growth.In the upcoming years, the increasing need for solution offerings to handle and further synchronise with several different channels using a single console is expected to boost the growth. By deployment, cloud-based held the highest market share in 2022 due to the agile, smooth, scalable, and inexpensive characteristics, which was easily incorporated by different businesses in the corporate landscape. The growth of the cloud-based applications is due to the penetration of internet-of-things applications. By industry vertical, IT & telecommunications segment held the highest market share in 2022 and is expected to keep its dominance over the forecast period. Due to the rising improved awareness about the use of organizational mobility tools to complement unified communications and collaboration systems capabilities. By organization size, large organization segment held the largest market share due to the large investments on requirements on the Operational Predictive Maintenance. By region global Operational Predictive Maintenance market is segmented into North America, APAC, Europe, MEA& Africa and South Africa. Among these,North America held the highest market share of xx% in 2022 and is expected to keep its dominance over the forecast period owing to the growing demand across various end-user industries for advanced technology in this region. In addition to that, rising BYOD penetration, deployment of 5G, growing adoption of smartphone. The service in the market in APAC is forecasted to expand a significant pace on account of the growing penetration of internet as well as digitization in countries such as India, China, Korea, etc. Report covers in-depth analysis of key development, marketing strategies, supply-side and demand side indicators and company profiles of market leaders, potential players, and new entrants. Key players operating in this market are adopting various organic and inorganic growth strategies such as merger& acquisitions, joint ventures, collaborations, expansion, new product launches and patents to increase their regional presence and business operations. The objective of the report is to present a comprehensive analysis of the Global Operational Predictive Maintenance Market including all the stakeholders of the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that includes market leaders, followers and new entrants. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analysed, which will give a clear futuristic view of the industry to the decision-makers. The report also helps in understanding Global Operational Predictive Maintenance Market dynamics, structure by analyzing the market segments and project Global Operational Predictive Maintenance MarketClear representation of competitive analysis of key players by price, financial position, Product portfolio, growth strategies, and regional presence in the Global Operational Predictive Maintenance Market the report investor’s guide.Operational Predictive Maintenance Market Scope: Inquire before buying
Operational Predictive Maintenance Market Report Coverage Details Base Year: 2022 Forecast Period: 2023-2029 Historical Data: 2018 to 2022 Market Size in 2022: US $ 6.27 Bn. Forecast Period 2023 to 2029 CAGR: 25.2% Market Size in 2029: US $ 30.23 Bn. Segments Covered: by Offering Solution Services by Deployment On-Premise Cloud-based by Industry Vertical Banking, Financial Services & Insurance IT & Telecommunications Travel and Transportation Manufacturing Retail Government Construction Chemicals Food and Beverage Retail Others by Organization Size Large Enterprises Small and Medium Enterprises Operational Predictive Maintenance Market, by Region
North America (United States, Canada and Mexico) Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe) Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC) Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A) South America (Brazil, Argentina Rest of South America)Operational Predictive Maintenance Market Key Players:
1. IBM Corporation 2. Microsoft 3. SAP SE 4. Hitachi 5. PTC 6. GENERAL ELECTRIC 7. Schneider Electric 8. Software AG 9. SAS Institute Inc 10. TIBCO Software Inc. 11. C3.ai, Inc 12. Uptake Technologies Inc 13. Softweb Solutions Inc 14. Asystom 15. Ecolibrium Energy 16. Fiix Software 17. OPEX Group 18. Sigma Industrial Precision 19. Google LLC 20. Amazon Web Services, Inc 21. Micro Focus 22. Splunk 23. RapidMiner 24. Seebo Interactive LTD Frequently Asked Questions: 1. Which region has the largest share in Global Operational Predictive Maintenance Market? Ans: North America region held the highest share in 2022. 2. What is the growth rate of Global Operational Predictive Maintenance Market? Ans: The Global Operational Predictive Maintenance Market is growing at a CAGR of 25.2% during forecasting period 2023-2029. 3. What is scope of the Global Operational Predictive Maintenance Market report? Ans: Global Operational Predictive Maintenance Market report helps with the PESTEL, PORTER, COVID-19 Impact analysis, Recommendations for Investors & Leaders, and market estimation of the forecast period. 4. What was the Global Operational Predictive Maintenance Market size in 2022? Ans: The Global Operational Predictive Maintenance market was valued at US$ 6.27 Bn. In 2022. 5. What is the study period of this Market? Ans: The Global Operational Predictive Maintenance Market is studied from 2022 to 2029.
1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global Operational Predictive Maintenance Market Size, by Market Value (US$ Mn) 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.2.1. Drivers 4.2.2. Restraints 4.2.3. Opportunities 4.2.4. Challenges 4.3. Porter’s Analysis 4.4. Value Chain Analysis 4.5. Market Risk Analysis 4.6. SWOT Analysis 4.7. Industry Trends and Emerging Technologies 5. Supply Side and Demand Side Indicators 6. Global Operational Predictive Maintenance Market Analysis and Forecast 7. Global Operational Predictive Maintenance Market Analysis and Forecast, by Offering 7.1. Introduction and Definition 7.2. Key Findings 7.3. Global Operational Predictive Maintenance Market Value Share Analysis, by Offering 7.4. Global Operational Predictive Maintenance Market Size (US$ Mn) Forecast, by Offering 7.5. Global Operational Predictive Maintenance Market Analysis, by Offering 7.6. Global Operational Predictive Maintenance Market Attractiveness Analysis, by Offering 8. Global Operational Predictive Maintenance Market Analysis and Forecast, by Deployment 8.1. Introduction and Definition 8.2. Key Findings 8.3. Global Operational Predictive Maintenance Market Value Share Analysis, by Deployment 8.4. Global Operational Predictive Maintenance Market Size (US$ Mn) Forecast, by Deployment 8.5. Global Operational Predictive Maintenance Market Analysis, by Deployment 8.6. Global Operational Predictive Maintenance Market Attractiveness Analysis, by Deployment 9. Global Operational Predictive Maintenance Market Analysis and Forecast, by Industry Vertical 9.1. Introduction and Definition 9.2. Key Findings 9.3. Global Operational Predictive Maintenance Market Value Share Analysis, by Industry Vertical 9.4. Global Operational Predictive Maintenance Market Size (US$ Mn) Forecast, by Industry Vertical 9.5. Global Operational Predictive Maintenance Market Analysis, by Industry Vertical 9.6. Global Operational Predictive Maintenance Market Attractiveness Analysis, by Industry Vertical 10. Global Operational Predictive Maintenance Market Analysis and Forecast, by Organization Size 10.1. Introduction and Definition 10.2. Key Findings 10.3. Global Operational Predictive Maintenance Market Value Share Analysis, by Organization Size 10.4. Global Operational Predictive Maintenance Market Size (US$ Mn) Forecast, by Organization Size 10.5. Global Operational Predictive Maintenance Market Analysis, by Organization Size 10.6. Global Operational Predictive Maintenance Market Attractiveness Analysis, by Organization Size 11. Global Operational Predictive Maintenance Market Analysis and Forecast, by Region 11.1. Introduction and Definition 11.2. Key Findings 11.3. Global Operational Predictive Maintenance Market Value Share Analysis, by Region 11.4. Global Operational Predictive Maintenance Market Size (US$ Mn) Forecast, by Region 11.5. Global Operational Predictive Maintenance MarketAnalysis, by Region 12. Global Operational Predictive Maintenance Market Analysis 12.1. Key Findings 12.2. Global Operational Predictive Maintenance Market Overview 12.3. Global Operational Predictive Maintenance Market Forecast, by Offering 12.3.1. Solution 12.3.2. Services 12.4. Global Operational Predictive Maintenance Market Forecast, by Deployment 12.4.1. On-Premise 12.4.2. Cloud-based 12.5. Global Operational Predictive Maintenance Market Forecast, by Industry Vertical 12.5.1. Banking, Financial Services & Insurance 12.5.2. IT & Telecommunications 12.5.3. Travel and Transportation 12.5.4. Manufacturing 12.5.5. Retail 12.5.6. Government 12.5.7. Construction 12.5.8. Chemicals 12.5.9. Food and Beverage 12.5.10. Retail 12.5.11. Others 13. Global Operational Predictive Maintenance Market Forecast, by Organization Size 13.1.1. Large Enterprises 13.1.2. Small and Medium Enterprises 14. Global Operational Predictive Maintenance Market Forecast, by Region 14.1.1. North America 14.1.2. Europe 14.1.3. Asia-Pacific 14.1.4. MEA & Africa 14.1.5. Latin America 14.2. PEST Analysis 14.3. Key Trends 14.4. Key Developments 15. NorthAmerica Operational Predictive Maintenance Market Analysis 15.1. Key Findings 15.2. NorthAmerica Operational Predictive Maintenance Market Forecast, by Offering 15.2.1. Solution 15.2.2. Services 15.3. NorthAmerica Operational Predictive Maintenance Market Forecast, by Deployment 15.3.1. On-Premise 15.3.2. Cloud-based 15.4. NorthAmerica Operational Predictive Maintenance Market Forecast, by Industry Vertical 15.4.1. Banking, Financial Services & Insurance 15.4.2. IT & Telecommunications 15.4.3. Travel and Transportation 15.4.4. Manufacturing 15.4.5. Retail 15.4.6. Government 15.4.7. Construction 15.4.8. Chemicals 15.4.9. Food and Beverage 15.4.10. Retail 15.4.11. Others 15.5. NorthAmerica Operational Predictive Maintenance Market Forecast, by Organization Size 15.5.1. Large Enterprises 15.5.2. Small and Medium Enterprises 15.6. NorthAmerica Operational Predictive Maintenance Market Forecast, by Country 15.6.1. US 15.6.2. Canada 15.7. US Operational Predictive Maintenance Market Forecast, by Offering 15.7.1. Solution 15.7.2. Services 15.8. US Operational Predictive Maintenance Market Forecast, by Deployment 15.8.1. On-Premise 15.8.2. Cloud-based 15.9. US Operational Predictive Maintenance Market Forecast, by Industry Vertical 15.9.1. Banking, Financial Services & Insurance 15.9.2. IT & Telecommunications 15.9.3. Travel and Transportation 15.9.4. Manufacturing 15.9.5. Retail 15.9.6. Government 15.9.7. Construction 15.9.8. Chemicals 15.9.9. Food and Beverage 15.9.10. Retail 15.9.11. Others 15.10. US Operational Predictive Maintenance Market Forecast, by Organization Size 15.10.1. Large Enterprises 15.10.2. Small and Medium Enterprises 15.11. Canada Operational Predictive Maintenance Market Forecast, by Offering 15.11.1. Solution 15.11.2. Services 15.12. Canada Operational Predictive Maintenance Market Forecast, by Deployment 15.12.1. On-Premise 15.12.2. Cloud-based 15.13. Canada Operational Predictive Maintenance Market Forecast, by Industry Vertical 15.13.1. Banking, Financial Services & Insurance 15.13.2. IT & Telecommunications 15.13.3. Travel and Transportation 15.13.4. Manufacturing 15.13.5. Retail 15.13.6. Government 15.13.7. Construction 15.13.8. Chemicals 15.13.9. Food and Beverage 15.13.10. Retail 15.13.11. Others 15.14. Canada Operational Predictive Maintenance Market Forecast, by Organization Size 15.14.1. Large Enterprises 15.14.2. Small and Medium Enterprises 15.15. PEST Analysis 15.16. Key Trends 15.17. Key Developments 16. Europe Operational Predictive Maintenance Market Analysis 16.1. Key Findings 16.2. Europe Operational Predictive Maintenance Market Overview 16.3. Europe Operational Predictive Maintenance Market Forecast, by Offering 16.3.1. Solution 16.3.2. Services 16.4. Europe Operational Predictive Maintenance Market Forecast, by Deployment 16.4.1. On-Premise 16.4.2. Cloud-based 16.5. Europe Operational Predictive Maintenance Market Forecast, by Industry Vertical 16.5.1. Banking, Financial Services & Insurance 16.5.2. IT & Telecommunications 16.5.3. Travel and Transportation 16.5.4. Manufacturing 16.5.5. Retail 16.5.6. Government 16.5.7. Construction 16.5.8. Chemicals 16.5.9. Food and Beverage 16.5.10. Retail 16.5.11. Others 16.6. Europe Operational Predictive Maintenance Market Forecast, by Organization Size 16.6.1. Large Enterprises 16.6.2. Small and Medium Enterprises 16.7. Europe Operational Predictive Maintenance Market Forecast, by Country 16.7.1. UK 16.7.2. France 16.7.3. Germany 16.7.4. Russia 16.7.5. Italy 16.7.6. Rest of Europe 16.8. UK Operational Predictive Maintenance Market Forecast, by Offering 16.8.1. Solution 16.8.2. Services 16.9. UK Operational Predictive Maintenance Market Forecast, by Deployment 16.9.1. On-Premise 16.9.2. Cloud-based 16.10. UK Operational Predictive Maintenance Market Forecast, by Industry Vertical 16.10.1. Banking, Financial Services & Insurance 16.10.2. IT & Telecommunications 16.10.3. Travel and Transportation 16.10.4. Manufacturing 16.10.5. Retail 16.10.6. Government 16.10.7. Construction 16.10.8. Chemicals 16.10.9. Food and Beverage 16.10.10. Retail 16.10.11. Others 16.11. UK Operational Predictive Maintenance Market Forecast, by Organization Size 16.11.1. Large Enterprises 16.11.2. Small and Medium Enterprises 16.12. France Operational Predictive Maintenance Market Forecast, by Offering 16.12.1. Solution 16.12.2. Services 16.13. France Operational Predictive Maintenance Market Forecast, by Deployment 16.13.1. On-Premise 16.13.2. Cloud-based 16.14. France Operational Predictive Maintenance Market Forecast, by Industry Vertical 16.14.1. Banking, Financial Services & Insurance 16.14.2. IT & Telecommunications 16.14.3. Travel and Transportation 16.14.4. Manufacturing 16.14.5. Retail 16.14.6. Government 16.14.7. Construction 16.14.8. Chemicals 16.14.9. Food and Beverage 16.14.10. Retail 16.14.11. Others 16.15. France Operational Predictive Maintenance Market Forecast, by Organization Size 16.15.1. Large Enterprises 16.15.2. Small and Medium Enterprises 16.16. Germany Operational Predictive Maintenance Market Forecast, by Offering 16.16.1. Solution 16.16.2. Services 16.17. Germany Operational Predictive Maintenance Market Forecast, by Deployment 16.17.1. On-Premise 16.17.2. Cloud-based 16.18. Germany Operational Predictive Maintenance Market Forecast, by Industry Vertical 16.18.1. Banking, Financial Services & Insurance 16.18.2. IT & Telecommunications 16.18.3. Travel and Transportation 16.18.4. Manufacturing 16.18.5. Retail 16.18.6. Government 16.18.7. Construction 16.18.8. Chemicals 16.18.9. Food and Beverage 16.18.10. Retail 16.18.11. Others 16.19. Germany Operational Predictive Maintenance Market Forecast, by Organization Size 16.19.1. Large Enterprises 16.19.2. Small and Medium Enterprises 16.20. Russia Operational Predictive Maintenance Market Forecast, by Offering 16.20.1. Solution 16.20.2. Services 16.21. Russia Operational Predictive Maintenance Market Forecast, by Deployment 16.21.1. On-Premise 16.21.2. Cloud-based 16.22. Russia Operational Predictive Maintenance Market Forecast, by Industry Vertical 16.22.1. Banking, Financial Services & Insurance 16.22.2. IT & Telecommunications 16.22.3. Travel and Transportation 16.22.4. Manufacturing 16.22.5. Retail 16.22.6. Government 16.22.7. Construction 16.22.8. Chemicals 16.22.9. Food and Beverage 16.22.10. Retail 16.22.11. Others 16.23. Russia Operational Predictive Maintenance Market Forecast, by Organization Size 16.23.1. Large Enterprises 16.23.2. Small and Medium Enterprises 16.24. Italy Operational Predictive Maintenance Market Forecast, by Offering 16.24.1. Solution 16.24.2. Services 16.25. Italy Operational Predictive Maintenance Market Forecast, by Deployment 16.25.1. On-Premise 16.25.2. Cloud-based 16.26. Italy Operational Predictive Maintenance Market Forecast, by Industry Vertical 16.26.1. Banking, Financial Services & Insurance 16.26.2. IT & Telecommunications 16.26.3. Travel and Transportation 16.26.4. Manufacturing 16.26.5. Retail 16.26.6. Government 16.26.7. Construction 16.26.8. Chemicals 16.26.9. Food and Beverage 16.26.10. Retail 16.26.11. Others 16.27. Italy Operational Predictive Maintenance Market Forecast, by Organization Size 16.27.1. Large Enterprises 16.27.2. Small and Medium Enterprises 16.28. Rest of Europe Operational Predictive Maintenance Market Forecast, by Offering 16.28.1. Solution 16.28.2. Services 16.29. Rest of Europe Operational Predictive Maintenance Market Forecast, by Deployment 16.29.1. On-Premise 16.29.2. Cloud-based 16.30. Rest of Europe Operational Predictive Maintenance Market Forecast, by Industry Vertical 16.30.1. Banking, Financial Services & Insurance 16.30.2. IT & Telecommunications 16.30.3. Travel and Transportation 16.30.4. Manufacturing 16.30.5. Retail 16.30.6. Government 16.30.7. Construction 16.30.8. Chemicals 16.30.9. Food and Beverage 16.30.10. Retail 16.30.11. Others 16.31. Rest of Europe Operational Predictive Maintenance Market Forecast, by Organization Size 16.31.1. Large Enterprises 16.31.2. Small and Medium Enterprises 16.32. PEST Analysis 16.33. Key Trends 16.34. Key Developments 17. AsiaPacific Operational Predictive Maintenance Market Analysis 17.1. Key Findings 17.2. AsiaPacific Operational Predictive Maintenance Market Overview 17.3. AsiaPacific Operational Predictive Maintenance Market Forecast, by Offering 17.3.1. Solution 17.3.2. Services 17.4. AsiaPacific Operational Predictive Maintenance Market Forecast, by Deployment 17.4.1. On-Premise 17.4.2. Cloud-based 17.5. AsiaPacific Operational Predictive Maintenance Market Forecast, by Industry Vertical 17.5.1. Banking, Financial Services & Insurance 17.5.2. IT & Telecommunications 17.5.3. Travel and Transportation 17.5.4. Manufacturing 17.5.5. Retail 17.5.6. Government 17.5.7. Construction 17.5.8. Chemicals 17.5.9. Food and Beverage 17.5.10. Retail 17.5.11. Others 17.6. AsiaPacific Operational Predictive Maintenance Market Forecast, by Organization Size 17.6.1. Large Enterprises 17.6.2. Small and Medium Enterprises 17.7. AsiaPacific Operational Predictive Maintenance Market Forecast, by Country 17.7.1. China 17.7.2. India 17.7.3. Japan 17.7.4. Malaysia 17.7.5. Indonesia 17.7.6. Rest of Asia-Pacific 17.8. China Operational Predictive Maintenance Market Forecast, by Offering 17.8.1. Solution 17.8.2. Services 17.9. China Operational Predictive Maintenance Market Forecast, by Deployment 17.9.1. On-Premise 17.9.2. Cloud-based 17.10. China Operational Predictive Maintenance Market Forecast, by Industry Vertical 17.10.1. Banking, Financial Services & Insurance 17.10.2. IT & Telecommunications 17.10.3. Travel and Transportation 17.10.4. Manufacturing 17.10.5. Retail 17.10.6. Government 17.10.7. Construction 17.10.8. Chemicals 17.10.9. Food and Beverage 17.10.10. Retail 17.10.11. Others 17.11. China Operational Predictive Maintenance Market Forecast, by Organization Size 17.11.1. Large Enterprises 17.11.2. Small and Medium Enterprises 17.12. India Operational Predictive Maintenance Market Forecast, by Offering 17.12.1. Solution 17.12.2. Services 17.13. India Operational Predictive Maintenance Market Forecast, by Deployment 17.13.1. On-Premise 17.13.2. Cloud-based 17.14. India Operational Predictive Maintenance Market Forecast, by Industry Vertical 17.14.1. Banking, Financial Services & Insurance 17.14.2. IT & Telecommunications 17.14.3. Travel and Transportation 17.14.4. Manufacturing 17.14.5. Retail 17.14.6. Government 17.14.7. Construction 17.14.8. Chemicals 17.14.9. Food and Beverage 17.14.10. Retail 17.14.11. Others 17.15. India Operational Predictive Maintenance Market Forecast, by Organization Size 17.15.1. Large Enterprises 17.15.2. Small and Medium Enterprises 17.16. Japan Operational Predictive Maintenance Market Forecast, by Offering 17.16.1. Solution 17.16.2. Services 17.17. Japan Operational Predictive Maintenance Market Forecast, by Deployment 17.17.1. On-Premise 17.17.2. Cloud-based 17.18. Japan Operational Predictive Maintenance Market Forecast, by Industry Vertical 17.18.1. Banking, Financial Services & Insurance 17.18.2. IT & Telecommunications 17.18.3. Travel and Transportation 17.18.4. Manufacturing 17.18.5. Retail 17.18.6. Government 17.18.7. Construction 17.18.8. Chemicals 17.18.9. Food and Beverage 17.18.10. Retail 17.18.11. Others 17.19. Japan Operational Predictive Maintenance Market Forecast, by Organization Size 17.19.1. Large Enterprises 17.19.2. Small and Medium Enterprises 17.20. Indonesia Operational Predictive Maintenance Market Forecast, by Offering 17.20.1. Metallic oxygen scavengers 17.20.2. Non-metallic oxygen scavengers 17.21. Indonesia Operational Predictive Maintenance Market Forecast, by Deployment 17.21.1. On-Premise 17.21.2. Cloud-based 17.22. Indonesia Operational Predictive Maintenance Market Forecast, by Industry Vertical 17.22.1. Banking, Financial Services & Insurance 17.22.2. IT & Telecommunications 17.22.3. Travel and Transportation 17.22.4. Manufacturing 17.22.5. Retail 17.22.6. Government 17.22.7. Construction 17.22.8. Chemicals 17.22.9. Food and Beverage 17.22.10. Retail 17.22.11. Others 17.23. Indonesia Operational Predictive Maintenance Market Forecast, by Organization Size 17.23.1. Large Enterprises 17.23.2. Small and Medium Enterprises 17.24. Malaysia Operational Predictive Maintenance Market Forecast, by Offering 17.24.1. Solution 17.24.2. Services 17.25. Malaysia Operational Predictive Maintenance Market Forecast, by Deployment 17.25.1. On-Premise 17.25.2. Cloud-based 17.26. Malaysia Operational Predictive Maintenance Market Forecast, by Industry Vertical 17.26.1. Banking, Financial Services & Insurance 17.26.2. IT & Telecommunications 17.26.3. Travel and Transportation 17.26.4. Manufacturing 17.26.5. Retail 17.26.6. Government 17.26.7. Construction 17.26.8. Chemicals 17.26.9. Food and Beverage 17.26.10. Retail 17.26.11. Others 17.27. Malaysia Operational Predictive Maintenance Market Forecast, by Organization Size 17.27.1. Large Enterprises 17.27.2. Small and Medium Enterprises 17.28. Rest of AsiaPacific Operational Predictive Maintenance Market Forecast, by Offering 17.28.1. Solution 17.28.2. Services 17.29. Rest of AsiaPacific Operational Predictive Maintenance Market Forecast, by Deployment 17.29.1. On-Premise 17.29.2. Cloud-based 17.30. Rest of AsiaPacific Operational Predictive Maintenance Market Forecast, by Industry Vertical 17.30.1. Banking, Financial Services & Insurance 17.30.2. IT & Telecommunications 17.30.3. Travel and Transportation 17.30.4. Manufacturing 17.30.5. Retail 17.30.6. Government 17.30.7. Construction 17.30.8. Chemicals 17.30.9. Food and Beverage 17.30.10. Retail 17.30.11. Others 17.31. Rest of AsiaPacific Operational Predictive Maintenance Market Forecast, by Organization Size 17.31.1. Large Enterprises 17.31.2. Small and Medium Enterprises 17.32. Others PEST Analysis 17.33. Key Trends 17.34. Key Developments 18. ME & Africa Operational Predictive Maintenance Market Analysis 18.1. Key Findings 18.2. ME & Africa Operational Predictive Maintenance Market Overview 18.3. ME & Africa Operational Predictive Maintenance Market Forecast, by Offering 18.3.1. Solution 18.3.2. Services 18.4. ME & Africa Operational Predictive Maintenance Market Forecast, by Deployment 18.4.1. On-Premise 18.4.2. Cloud-based 18.5. ME & Africa Operational Predictive Maintenance Market Forecast, by Industry Vertical 18.5.1. Banking, Financial Services & Insurance 18.5.2. IT & Telecommunications 18.5.3. Travel and Transportation 18.5.4. Manufacturing 18.5.5. Retail 18.5.6. Government 18.5.7. Construction 18.5.8. Chemicals 18.5.9. Food and Beverage 18.5.10. Retail 18.5.11. Others 18.6. ME& Africa Operational Predictive Maintenance Market Forecast, by Organization Size 18.6.1. Large Enterprises 18.6.2. Small and Medium Enterprises 18.7. ME &Africa Operational Predictive Maintenance Market Forecast, by Country 18.7.1. GCC 18.7.2. South Africa 18.7.3. Rest of MEA & Africa 18.8. GCC Operational Predictive Maintenance Market Forecast, by Offering 18.8.1. Solution 18.8.2. Services 18.9. GCC Operational Predictive Maintenance Market Forecast, by Deployment 18.9.1. On-Premise 18.9.2. Cloud-based 18.10. GCC Operational Predictive Maintenance Market Forecast, by Industry Vertical 18.10.1. Banking, Financial Services & Insurance 18.10.2. IT & Telecommunications 18.10.3. Travel and Transportation 18.10.4. Manufacturing 18.10.5. Retail 18.10.6. Government 18.10.7. Construction 18.10.8. Chemicals 18.10.9. Food and Beverage 18.10.10. Retail 18.10.11. Others 18.11. GCC Operational Predictive Maintenance Market Forecast, by Organization Size 18.11.1. Large Enterprises 18.11.2. Small and Medium Enterprises 18.12. South Africa Operational Predictive Maintenance Market Forecast, by Offering 18.12.1. Solution 18.12.2. Services 18.13. South Africa Operational Predictive Maintenance Market Forecast, by Deployment 18.13.1. On-Premise 18.13.2. Cloud-based 18.14. South Africa Operational Predictive Maintenance Market Forecast, by Industry Vertical 18.14.1. Banking, Financial Services & Insurance 18.14.2. IT & Telecommunications 18.14.3. Travel and Transportation 18.14.4. Manufacturing 18.14.5. Retail 18.14.6. Government 18.14.7. Construction 18.14.8. Chemicals 18.14.9. Food and Beverage 18.14.10. Retail 18.14.11. Others 18.15. South Africa Operational Predictive Maintenance Market Forecast, by Organization Size 18.15.1. Large Enterprises 18.15.2. Small and Medium Enterprises 18.16. Rest of ME &Africa Operational Predictive Maintenance Market Forecast, by Offering 18.16.1. Solution 18.16.2. Services 18.17. Rest of ME &Africa Operational Predictive Maintenance Market Forecast, by Deployment 18.17.1. On-Premise 18.17.2. Cloud-based 18.18. Rest of ME &Africa Operational Predictive Maintenance Market Forecast, by Industry Vertical 18.18.1. Banking, Financial Services & Insurance 18.18.2. IT & Telecommunications 18.18.3. Travel and Transportation 18.18.4. Manufacturing 18.18.5. Retail 18.18.6. Government 18.18.7. Construction 18.18.8. Chemicals 18.18.9. Food and Beverage 18.18.10. Retail 18.18.11. Others 18.19. Rest of ME &Africa Operational Predictive Maintenance Market Forecast, by Organization Size 18.19.1. Large Enterprises 18.19.2. Small and Medium Enterprises 18.20. PEST Analysis 18.21. Key Trends 18.22. Key Developments 19. Latin America Operational Predictive Maintenance Market Analysis 19.1. Key Findings 19.2. Latin America Operational Predictive Maintenance Market Overview 19.3. Latin America Operational Predictive Maintenance Market Forecast, by Offering 19.3.1. Solution 19.3.2. Services 19.4. Latin America Operational Predictive Maintenance Market Forecast, by Deployment 19.4.1. On-Premise 19.4.2. Cloud-based 19.5. Latin America Operational Predictive Maintenance Market Forecast, by Industry Vertical 19.5.1. Banking, Financial Services & Insurance 19.5.2. IT & Telecommunications 19.5.3. Travel and Transportation 19.5.4. Manufacturing 19.5.5. Retail 19.5.6. Government 19.5.7. Construction 19.5.8. Chemicals 19.5.9. Food and Beverage 19.5.10. Retail 19.5.11. Others 19.6. Latin America Operational Predictive Maintenance Market Forecast, by Organization Size 19.6.1. Large Enterprises 19.6.2. Small and Medium Enterprises 19.7. Latin America Operational Predictive Maintenance Market Forecast, by Country 19.7.1. Mexico 19.7.2. Brazil 19.7.3. Rest of Latin America 19.8. Mexico Operational Predictive Maintenance Market Forecast, by Offering 19.8.1. Solution 19.8.2. Services 19.9. Mexico Operational Predictive Maintenance Market Forecast, by Deployment 19.9.1. On-Premise 19.9.2. Cloud-based 19.10. Mexico Operational Predictive Maintenance Market Forecast, by Industry Vertical 19.10.1. Banking, Financial Services & Insurance 19.10.2. IT & Telecommunications 19.10.3. Travel and Transportation 19.10.4. Manufacturing 19.10.5. Retail 19.10.6. Government 19.10.7. Construction 19.10.8. Chemicals 19.10.9. Food and Beverage 19.10.10. Retail 19.10.11. Others 19.11. Mexico Operational Predictive Maintenance Market Forecast, by Organization Size 19.11.1. Large Enterprises 19.11.2. Small and Medium Enterprises 19.12. Brazil Operational Predictive Maintenance Market Forecast, by Offering 19.12.1. Solution 19.12.2. Services 19.13. Brazil Operational Predictive Maintenance Market Forecast, by Deployment 19.13.1. On-Premise 19.13.2. Cloud-based 19.14. Brazil Operational Predictive Maintenance Market Forecast, by Industry Vertical 19.14.1. Banking, Financial Services & Insurance 19.14.2. IT & Telecommunications 19.14.3. Travel and Transportation 19.14.4. Manufacturing 19.14.5. Retail 19.14.6. Government 19.14.7. Construction 19.14.8. Chemicals 19.14.9. Food and Beverage 19.14.10. Retail 19.14.11. Others 19.15. Brazil Operational Predictive Maintenance Market Forecast, by Organization Size 19.15.1. Large Enterprises 19.15.2. Small and Medium Enterprises 19.16. Rest of Latin America Operational Predictive Maintenance Market Forecast, by Offering 19.16.1. Solution 19.16.2. Services 19.17. Rest of Latin America Operational Predictive Maintenance Market Forecast, by Deployment 19.17.1. On-Premise 19.17.2. Cloud-based 19.18. Rest of Latin America Operational Predictive Maintenance Market Forecast, by Industry Vertical 19.18.1. Banking, Financial Services & Insurance 19.18.2. IT & Telecommunications 19.18.3. Travel and Transportation 19.18.4. Manufacturing 19.18.5. Retail 19.18.6. Government 19.18.7. Construction 19.18.8. Chemicals 19.18.9. Food and Beverage 19.18.10. Retail 19.18.11. Others 19.19. Rest of Latin America Operational Predictive Maintenance Market Forecast, by Organization Size 19.19.1. Large Enterprises 19.19.2. Small and Medium Enterprises 19.20. PEST Analysis 19.21. Key Trends 19.22. Key Developments 20. Company Profiles 20.1. Market Share Analysis, by Company 20.2. Market Share Analysis, by Region 20.3. Market Share Analysis, by Country 20.4. Competition Matrix 20.4.1. Competitive Benchmarking of key players by price, presence, market share, Raw material and R&D investment 20.4.2. New Raw material Launches and Raw material Enhancements 20.4.2.1. Market Consolidation 20.4.2.2. M&A by Regions, Investment and Raw material 20.4.2.3. M&A Key Players, Forward Integration and Backward Integration 20.5. Company Profiles: Key Players 20.5.1. IBM Corporation 20.5.2. Microsoft 20.5.3. SAP SE 20.5.4. Hitachi 20.5.5. PTC 20.5.6. GENERAL ELECTRIC 20.5.7. Schneider Electric 20.5.8. Software AG 20.5.9. SAS Institute Inc 20.5.10. TIBCO Software Inc. 20.5.11. C3.ai, Inc 20.5.12. Uptake Technologies Inc 20.5.13. Softweb Solutions Inc 20.5.14. Asystom 20.5.15. Ecolibrium Energy 20.5.16. Fiix Software 20.5.17. OPEX Group 20.5.18. Sigma Industrial Precision 20.5.19. Google LLC 20.5.20. Amazon Web Services, Inc 20.5.21. Micro Focus 20.5.22. Splunk 20.5.23. RapidMiner 20.5.24. Seebo Interactive LTD 21. Primary Key Insights.