Report Description Table of Contents Industry Report and Statistics (Facts & Figures) - Number of Deployments & New Installations, Installation Cost & Demand by Deployment Mode & Application The global predictive maintenance market will witness a robust CAGR of 29.98%, valued at $4.32 billion in 2021, expected to appreciate and reach $45.75 billion by 2030, confirms Strategic Market Research. Predictive maintenance is the process of carrying out maintenance activities on machinery before they develop faults. The purpose is to prevent the breakdown of the machine/system, thereby leading to a halt in production. Predictive maintenance has traditionally been carried out periodically, but with modern software technologies, it can be carried out based on the data of the machine’s performance. Predictive maintenance is performed on machinery and plant equipment, including vehicles that are used for multiple purposes, as well as ensures road safety. The conventional method of predictive maintenance would sometimes even call for maintenance even when the machine was giving the desired output, which resulted in being counter-productive. The primary objective of predictive maintenance is early fault detection, optimizing efficiency, and reducing operational costs by preventing the breakdown of the machine. Predictive maintenance also aids in safety engineering, includes the use of RCASE, and helps in production flow analysis. Key Industry Drivers - Increased Use of Analytics, Reduced Maintenance Costs The usage of analytics has increased manifold in the last decade, with the field of predictive maintenance gaining traction in recent years. 93% of companies with revenue exceeding USD 100 million are investing in big data to ensure that better and faster decisions are being made for their organization. Further, companies that implemented the use of big data and data analytics in their operations saw an average 8% increase in profits. With an astonishing 97% of companies in North America alone investing in AI and big data, we would see the increased use of artificial intelligence (AI), machine learning (ML), and analytics in the field of predictive maintenance that will lead to its exemplary growth. The basic need to use predictive maintenance systems is to increase the efficiency of the machinery and, secondly, ensure lower maintenance costs. The data analyzed by the encryption software and electronics indicate the need for upkeep at the right time, which would prevent the machinery from breakdown. Breakdowns cause longer and more expensive repairs, which also halt production. According to a study, US manufacturing units spend over USD 50 billion yearly on maintenance and repair. Another study found that applying predictive maintenance can reduce the maintenance cost by approximately 20% and increase the production capacity by approximately 10%. Organizations will always look to improve efficiency in processes, reduce costs, resource optimization, and maximize profits by analyzing predictive maintenance statistics, and hence, we would see an uptick in demand for predictive maintenance systems, with a focus on automotive predictive maintenance systems. Trends and Opportunities - Emerging Economies with Rapid Industrialization, Growth of New Customer Channels Post-pandemic, emerging economies such as India and Vietnam began the rapid development of their industries by attracting investments and offering incentives for the same. Vietnam introduced policies in which companies investing in Vietnam could benefit from tax deductions from foreign investments, and could enjoy a tax holiday for a period of up to 5 years subject to profits generated, post which 50% of the particular year’s tax rates would be applicable, that is, if the CIT (corporate income tax) is 30% in 2020, the company would pay 15%, provided it had fulfilled a four year period and began generating profits. This spurred growth, and in 2021, it saw phenomenal growth, peaking at 29.1% in April 2021. Similarly, India introduced performance-linked incentives (PLIs) policies in 14 key sectors such as pharmaceuticals, electronics, telecommunications, food processing, and the textile industry. The PLI scheme aims to offer benefits of up to 18% and offers benefits of 5 years, beginning in April 2022. For example, the automobile sector saw 95 application approvals, and the textiles industry saw 61 applications being approved. Other policies ensured that the manufacturing sector witnessed an astonishing growth rate of 196% in April 2021. Thus, with several countries trying to reduce their import burden and improve their manufacturing sectors, their increased demand will also escalate the demand for predictive maintenance systems. While the larger corporations have always been a continuous source of revenue for predictive maintenance systems, newer channels have opened up for the developers. The US administration signed Executive Order 14017 in 2021, which aims to develop critical supply chains and further set up the Supply Chain Disruptions Task Force (SCDTF). In a year of signing the order, over 367,000 jobs were added in the manufacturing sector in the US. In the Asia-Pacific region, the Indian administration enacted the Credit Linked Capital Subsidy and Technology Upgradation Scheme (CLCS-TUS), which would offer a 15% upfront subsidy on capital expenditure for immediate upgradation to modern technologies that would assure increased productivity in the output of manufactured goods. With policies favoring manufacturing, and several companies investing in modern upgradation, the demand for predictive maintenance systems would also significantly increase. Restraints The initiation of modern predictive maintenance requires high capital expenditure which can act as a limiting factor for companies to invest in the newer systems. Market Analysis Of Different Segments Covered in the Report Based on Deployment Mode: On-premises Cloud Public Cloud Private Cloud hybrid cloud Based on Component: Solutions Integrated Standalone Service Consulting Managed Services Professional Services Support and Maintenance System Integration Based on Organization Size: Large Enterprises Small and Medium-sized Enterprises (SMEs) Based on Vertical Energy and Utilities Government and Defense Healthcare and Life Sciences Manufacturing Transportation and Logistics Regional Coverage Analysis North America USA Canada Mexico Europe France Germany Italy Spain United Kingdom Rest of Europe Asia Pacific Australia China India Japan South Korea Vietnam Rest of Asia Pacific Latin America, Middle East and Africa Argentina Brazil Nigeria Qatar Saudi Arabia South Africa UAE Rest of LAMEA Segments Analysis & Insights On the basis of deployment, the on-premises mode held the highest market share, with approximately 68%. The reason for the dominance is the ease with which the systems can be enabled in a plant setup, followed by the relatively lower capital expenditure in this mode. However, the cloud deployment mode would see rapid growth in the predicted period due to increased adoption of cloud-based technologies across sectors. The workload in data centers based on cloud in 2017 was 86%, and in 2021 was 94%. While the existing domination of on-premise would continue in the short-term and long term, the market would be led by cloud-based systems. The component segment is divided into two major categories - solutions and services. The solutions category dominated the segment, with its sub-classification of integrated solutions and standalone solutions, where the integrated solutions dominated due to the holistic approach they offer over standalone. The services category had its own descriptive classification in which the professional services dominated the market as it encompassed an array of services such as installation, routine checkups, and overall upkeep of the system. Thus, the solutions category will dominate the market, and the services market will see a relatively high CAGR owing to customer-centric policies of organizations. The manufacturing sector alone accounted for nearly 30% of the market share, making it the most dominant vertical in which predictive maintenance systems were used. Manufacturing is one of the most established sectors globally; therefore, the maintenance for the same would also dominate the market, despite the global defense sector having a high market share. According to United Nations Industrial Development Organization figures, global manufacturing production growth in Q1 of 2022 was 4.2%, and the preceding two quarters, that is Q4 and Q3,2021, showed growth at 6.1% and 3.6%, respectively. Therefore, with the UN predicting further growth output despite the Russia-Ukraine conflict, the manufacturing sector will continue to see rapid growth with the adoption of new techniques such as lean manufacturing, which would lead to higher demand for predictive maintenance systems. Large enterprises had the dominating share of the market, while small and medium enterprises (SMEs) would grow at a high CAGR. Large enterprises dominated the segment due to overall requirement, which is higher for them as compared to SMEs. In the absence of predictive maintenance systems, the downtime for machinery and production lines lead to extremely high sunk costs to organizations. As per studies, an hour of machine downtime can cost manufacturing companies upto USD 260,000, and on automobile production lines, it can cost anywhere between USD 22,000 and USD 50,000 per minute of downtime. It is, therefore, extremely critical for larger enterprises to have time to failure prediction systems in place to prevent unplanned downtime, thus, their investment in predictive maintenance systems would contribute to a larger share of the market. Regionally, North America dominated the market. The reason for the dominance is the high investment in the sector by the companies and due to the presence of supporting infrastructure in the region. A report from the US Department of Energy estimates that implementing predictive maintenance systems can yield returns on investment upto ten times the capital expenditure on the systems. According to World Bank data, manufacturing value addition in 2020 in the US was well above USD 2,337 billion. Additionally, the US has the world’s largest defense budget, approximately USD 2,021 billion in FY 2022. According to Government of Canada statistics, the manufacturing sector's contribution to the GDP was nearly CAD 174 billion, and exports from the sector were approximated at CAD 354 billion per year. With robust manufacturing and healthcare sectors in the region, North America will continue to dominate the segment in the intelligent maintenance systems market in the coming future. Predictive Maintenance Market Report Coverage Report Attribute Details Period of Forecast 2021 - 2030 Market size value in 2020 USD 4.32 billion Revenue forecast in 2030 USD 45.75 billion Growth rate CAGR of 29.98 % The base year for estimation 2021 Historical data 2017 – 2020 Unit USD Billion, CAGR (2021 - 2030) Segmentation By component, vertical, organization size, deployment mode and region. By Component Services and Solutions By Vertical Energy and Utilities, Government and Defense, Healthcare and Life Sciences, Manufacturing and Transportation and Logistics By Size of the Organization Small & Medium Enterprises (SMEs) and Large Enterprises. By deployment mode Cloud-based and on-premises. By Region North America, Europe, Asia-Pacific and LAMEA Country Scope China, India, USA, The Netherlands, Germany, South Africa, Saudi Arabia, and Australia. Company Usability Profiles Altair, Asystom, C3.ai, Inc., AWS, Axiomtek Co. Ltd, C3 IoT, Comtrade , Engineering Consultants Group, Inc., Expert Microsystems, Inc., Fiix Inc., General Electric, Google, Hitachi Ltd, HPE, IBM Corporation, Microsoft Corporation, Operational Excellence (OPEX) Group Ltd, Oracle Corporation, PTC Inc., RapidMiner, SAP SE, SAS Institute, Schneider Electric, Sigma Industrial Precision, Software AG, Spark Cognition, Splunk, TIBCO Software Inc, Uptake Technologies Inc, and XMPro. Predictive Maintenance Market Competitive Landscape Analysis Altair Asystom, C3.ai, Inc., AVEVA Group plc AWS Axiomtek Co. Ltd C3 IoT Comtrade Engineering Consultants Group, Inc. Expert Microsystems, Inc., Fiix Inc. General Electric Google Hitachi Ltd HPE IBM Corporation Microsoft Corporation Operational Excellence (OPEX) Group Ltd Oracle Corporation PTC Inc. RapidMiner SAP SE SAS Institute Schneider Electric Sigma Industrial Precision Software AG Spark Cognition Splunk TIBCO Software Inc Uptake Technologies Inc XMPro Predictive Maintenance Systems Being Developed by the Major Companies Name Feature Key Player Zementis Easy-to-use, has predictive models such as regression, support vector machines, ARIMA and Classification. Software AG AVEVA Predictive Analytics Early warning systems, calculation engines, transient module, maintenance scheduling and security. AVEVA Hitachi Predictive Maintenance Optimizes maintenance cost, increased productivity, IoT systems, advanced algorithms. Hitachi Ltd. Maximo Application Suite Maximo predict, Maximo health. IBM Corporation Recent Developments: In July 2022, two companies in Houston announced they would develop a new predictive maintenance software. Shape Corporation, along with Radix Engineering and Software, announced a collaboration to develop a tool that would enable companies that operate floating production units to implement their system to positively impact their cash flow and environment, and health impact. In July 2022, Keolis and Stratio announced a partnership that would provide predictive maintenance solutions to Keolis’ fleet. Keolis provides solutions to public transit systems, and Stratio develops computerized maintenance management systems; The Stratio Platform will enable real-time data to be made available to Keolis’ engineers to ensure minimal downtime. In July 2022, Valmet announced a new application that would enable better tracking of machinery. The application is part of Valmet Industrial Internet portfolio which offers predictive maintenance and root cause analysis solutions for various machines in the paper and pulp industry. In March 2022, C3 AI announced that it had reached a phenomenal number of more than 10,000 machines of Shell Corporation under their predictive maintenance program. The program uses more than 3 million sensors and 11,000 ML models. Frequently Asked Question About This Report How big is the predictive maintenance market? The global predictive maintenance market size was $4.32 billion in 2021 and is expected to reach a value of $45.75 billion by 2030. What is the predictive maintenance market growth? The global predictive maintenance market is expected to grow at a compound annual growth rate (CAGR) of 29.98% from 2021 to 2030 to reach USD 45.75 billion by 2030. What is an example of predictive maintenance? Predictive maintenance is the process through which plants and machinery are preserved by carrying out regular upkeep of their parts and software. Examples of using predictive maintenance are the use of thermal imaging, vibration analysis, and oil analysis. What is predictive maintenance in the industry? In the manufacturing industry, predictive maintenance is the upkeep or corrective maintenance of the machinery. In the oil, gas & energy industries, it is the temporary shutdown of boilers, pipelines, and valves where predictive maintenance is used to carry out repair and cleaning tasks, as required. In the railways and public transit industry, it can be used to indicate any faults or defects in wheels, tracks, electrical systems, overhead lines, etc. What is the meaning of predictive maintenance? Predictive maintenance means the methods through which equipment and factories are kept working at optimum levels by necessary and timely upkeep of their overall systems. Does predictive maintenance have a future? Predictive maintenance has immense potential in the short and long-term future with applications across many industries such as manufacturing, defense, healthcare, software and energy industries. As the demand for industrial and consumer goods increases, the demand for predictive maintenance will also increase. Also, the Model-Based Condition Monitoring in the software sector is gaining a decent level of popularity as it adequately compares the predicted behavior of the software systems with their original behavior, thereby providing a clear-cut reading about the deviations in a software system’s behavior. What is the expected market size of the U.K predictive analysis maintenance market by 2030? The expected size of the UK predictive analysis maintenance market would be USD 5.32 billion by 2030. Which country leads in the global predictive analysis maintenance market? The United States of America leads the market due to high investments in the sector by various companies. Sources https://www.meity.gov.in/esdm/pli https://stat.unido.org/content/publications/world-manufacturing-production https://data.worldbank.org/indicator/NV.IND.MANF.ZS?locations=US https://ised-isde.canada.ca/site/canadian-manufacturing-sector-gateway/en https://partners.wsj.com/emerson/unlocking-performance/how-manufacturers-can-achieve-top-quartile-performance/ 1. Introduction 1.1. Study Objective 1.2. Market Definition 1.3. Study Scope 1.3.1. Markets Covered 1.3.2. Geographic Scope 1.3.3. Years Considered 1.3.4. Stakeholders 2. Research Methodology 2.1. Data Procurement 2.2. Paid Database 2.2.1. Secondary Data 2.2.1.1. Key Secondary sources 2.2.2. Primary Data 2.2.2.1 Primary sources 2.2.2.2. Key industry insights 2.2.2.3. Primary interviews with experts 2.2.2.4. Key primary respondent list 2.3. Market Size Estimation 2.4. Bottom-Up and Top-Down Approaches 2.4.1. Bottom-Up Approach 2.4.1.1. Approach for arriving at market size by bottom-up analysis 2.4.2. Top-Down Approach 2.4.2.1. Approach for Capturing Market Size by Top-Down Analysis 2.5. Market Breakdown and Data Triangulation 2.6. Research Methodology 2.7. Risk Assessment 3. Executive Summary 3.1 Predictive Maintenance Market: Post-Covid-19 3.1.1 Actual Scenario 3.1.2 Pessimistic Scenario 3.1.3 Optimistic Scenario 3.1.4 Market Summary 4. Industry Outlook 4.1 Market Snapshot 4.2 Predictive Maintenance Market 4.2.1 market, 2021 – 2030 (USD Million) 4.3 Regional Business Analysis 4.3.1 market, by region, 2021 - 2030 (USD Million) 4.4 By Deployment Mode Business Analysis 4.4.1 market, By Deployment Mode, 2021 - 2030 (USD Million) 4.5 By Component Business Analysis 4.5.1 market, By Component, 2021 - 2030 (USD Million) 4.6 Organization Size Business Analysis 4.6.1 market, By Organization Size, 2021 - 2030 (USD Million) 4.7 Vertical Business Analysis 4.7.1 market, By Vertical, 2021 - 2030 (USD Million) 4.8 Value Chain Analysis 4.9 Market Variable Analysis 4.9.1 Market Drivers Analysis 4.9.2 Market Restraints Analysis 4.10 Business Environment Analysis Tool 4.10.1 market PEST analysis 4.10.2 market Porter’s analysis 4.11 Penetration & Growth Prospect Mapping 5. Market Dynamics 5.1. Introduction 5.2. Market Dynamics 5.2.1. Drivers 5.2.2. Restraints 5.2.3. Opportunities 5.2.4. Challenges 5.3. Impact of Covid-19 On Market 5.4. Value Chain Analysis 5.5. Ecosystem 5.6. Patent Analysis 5.7. Trade Analysis 5.8. Tariff Analysis 5.9. Case Study Analysis 5.10. Porter’s Five Forces Analysis 5.10.1 Threat of New Entrants 5.10.2 Threat of Substitutes 5.10.3 Bargaining Power of Buyers 5.10.4 Bargaining Power of Suppliers 5.10.5 Degree of Competition 5.11. Vertical Analysis 5.11.1. Trends in Vertical (2014-2020) 5.11.2. Trends in Vertical (2021-2028) 5.12. Pricing Analysis 5.12.1. Average Price Trend Analysis (By Region, By Country) 6. Competitive & Vendor Landscape 6.1. Company Market Share Analysis 6.2. Manufacturers Manufacturing Sites, Area Served, Deployment Mode 6.3. Market Competitive Situation and Trends 6.4. Manufacturers Mergers & Acquisitions, Expansion Plans 7. Market: By Deployment Mode Segment Analysis 7.1. Introduction 7.2. Sales Volume & Revenue Analysis (2021-2030) 7.3. On-premises 7.3.1. On-premises market, 2021 - 2030 (USD Million) 7.4. Cloud 7.4.1. Cloud market, 2021 - 2030 (USD Million) 7.4.1.1 Public Cloud market, 2021 - 2030 (USD Million) 7.4.1.2 Private Cloud market, 2021 - 2030 (USD Million) 7.4.1.3 hybrid cloud market, 2021 - 2030 (USD Million) 8. Market: By Component Segment Analysis 8.1. Introduction 8.2. Sales Volume & Revenue Analysis (2021-2030) 8.3. Solutions 8.3.1. Solutions Market, 2021 - 2030 (USD Million) 8.3.1.1 Integrated Market, 2021 - 2030 (USD Million) 8.3.1.2 Standalone Market, 2021 - 2030 (USD Million) 8.4. Service 8.4.1. Service market, 2021 - 2030 (USD Million) 8.4.1.1 Consulting market, 2021 - 2030 (USD Million) 8.4.1.1 Managed Services market, 2021 - 2030 (USD Million) 8.4.1.1 Professional Services market, 2021 - 2030 (USD Million) 8.4.1.1 Support and Maintenance market, 2021 - 2030 (USD Million) 8.4.1.1 System Integration market, 2021 - 2030 (USD Million) 9. Market: By Organization Size Segment Analysis 9.1. Introduction 9.2. Sales Volume & Revenue Analysis (2021-2030) 9.3. Large Enterprises 9.3.1. Large Enterprises market, 2021 - 2030 (USD Million) 9.4. Small and Medium-sized Enterprises (SMEs) 9.4.1. Small and Medium-sized Enterprises (SMEs) market, 2021 - 2030 (USD Million) 10. Market: By Vertical Segment Analysis 10.1. Introduction 10.2. Sales Volume & Revenue Analysis (2021-2030) 10.3. Energy and Utilities 10.3.1. Energy and Utilities market, 2021 - 2030 (USD Million) 10.4. Government and Defense 10.4.1. Government and Defense market, 2021 - 2030 (USD Million) 10.5. Healthcare and Life Sciences 10.5.1. Healthcare and Life Sciences Market, 2021 - 2030 (USD Million) 10.6. Manufacturing 10.6.1. Manufacturing Market, 2021 - 2030 (USD Million) 10.7. Transportation and Logistics 10.7.1. Transportation and Logistics Market, 2021 - 2030 (USD Million) 11. Market: Regional Outlook 11.1 North America 11.1.1. North America market, By Deployment Mode, 2021 - 2030 (USD Million) 11.1.2. North America market, By Component, 2021 - 2030 (USD Million) 11.1.3. North America market, by Vertical, 2021 - 2030 (USD Million) 11.1.4. North America market, by Country, 2021 - 2030 (USD Million) 11.1.5. North America market, By Type, 2021 - 2030 (USD Million) 11.1.4.1. U.S. 11.1.4.1.1. U.S. market, By Deployment Mode, 2021 - 2030 (USD Million) 11.1.4.1.2. U.S. market, By Component, 2021 - 2030 (USD Million) 11.1.4.1.3. U.S. market, by Vertical, 2021 - 2030 (USD Million) 11.1.4.2. Canada 11.1.4.2.1. Canada market, By Deployment Mode, 2021 - 2030 (USD Million) 11.1.4.2.2. Canada market, By Component, 2021 - 2030 (USD Million) 11.1.4.2.3. Canada market, by Vertical, 2021 - 2030 (USD Million) 11.2. Europe 11.2.1. Europe market, By Deployment Mode, 2021 - 2030 (USD Million) 11.2.2. Europe market, By Component, 2021 - 2030 (USD Million) 11.2.3. Europe market, by Vertical, 2021 - 2030 (USD Million) 11.2.4. Europe market, by country, 2021 - 2030 (USD Million) 11.2.5. Europe market, By Type, 2021 - 2030 (USD Million) 11.2.4.1 U.K. 11.2.4.1.1. U.K. market, By Deployment Mode, 2021 - 2030 (USD Million) 11.2.4.1.2. U.K. market, By Component, 2021 - 2030 (USD Million) 11.2.4.1.3. U.K. market, by Vertical, 2021 - 2030 (USD Million) 11.2.4.2. Germany 11.2.4.2.1. Germany market, By Deployment Mode, 2021 - 2030 (USD Million) 11.2.4.2.2. Germany market, By Component, 2021 - 2030 (USD Million) 11.2.4.2.3. Germany market, by Vertical, 2021 - 2030 (USD Million) 11.2.4.3. France 11.2.4.3.1. France market, By Deployment Mode, 2021 - 2030 (USD Million) 11.2.4.3.2. France market, By Component, 2021 - 2030 (USD Million) 11.2.4.3.3. France market, by Vertical, 2021 - 2030 (USD Million) 11.2.4.4. Rest of Europe 11.2.4.4.1. Rest of Europe market, By Deployment Mode, 2021 - 2030 (USD Million) 11.2.4.4.2. Rest of Europe market, By Component, 2021 - 2030 (USD Million) 11.2.4.4.3. Rest of Europe market, by Vertical, 2021 - 2030 (USD Million) 11.3. Asia Pacific 11.3.1. Asia Pacific market, By Deployment Mode, 2021 - 2030 (USD Million) 11.3.2. Asia Pacific market, By Component, 2021 - 2030 (USD Million) 11.3.3. Asia Pacific market, by Vertical, 2021 - 2030 (USD Million) 11.3.4. Asia Pacific market, by country, 2021 - 2030 (USD Million) 11.3.5. Asia Pacific market, By Type, 2021 - 2030 (USD Million) 11.3.4.1. China 11.3.4.1.1. China market, By Deployment Mode, 2021 - 2030 (USD Million) 11.3.4.1.2. China market, By Component, 2021 - 2030 (USD Million) 11.3.4.1.3. China market, by Vertical, 2021 - 2030 (USD Million) 11.3.4.2. India 11.3.4.2.1. India market, By Deployment Mode, 2021 - 2030 (USD Million) 11.3.4.2.2. India market, By Component, 2021 - 2030 (USD Million) 11.3.4.2.3. India market, by Vertical, 2021 - 2030 (USD Million) 11.3.4.3. Japan 11.3.4.3.1. Japan market, By Deployment Mode, 2021 - 2030 (USD Million) 11.3.4.3.2. Japan market, By Component, 2021 - 2030 (USD Million) 11.3.4.3.3. Japan market, by Vertical, 2021 - 2030 (USD Million) 11.3.4.4. South Korea 11.3.4.4.1. South Korea market, By Deployment Mode, 2021 - 2030 (USD Million) 11.3.4.4.2. South Korea market, By Component, 2021 - 2030 (USD Million) 11.3.4.4.3. South Korea market, by Vertical, 2021 - 2030 (USD Million) 11.3.4.5. Rest of ASIA PACIFIC 11.3.4.5.1. Rest of ASIA PACIFIC market, By Deployment Mode, 2021 - 2030 (USD Million) 11.3.4.5.2. Rest of ASIA PACIFIC market, By Component, 2021 - 2030 (USD Million) 11.3.4.5.3. Rest of ASIA PACIFIC market, by Vertical, 2021 - 2030 (USD Million) 11.4. Latin America 11.4.1. Latin America market, By Deployment Mode, 2021 - 2030 (USD Million) 11.4.2. Latin America market, By Component, 2021 - 2030 (USD Million) 11.4.3. Latin America market, by Vertical, 2021 - 2030 (USD Million) 11.4.4. Latin America market, by country, 2021 - 2030 (USD Million) 11.4.5. Latin America market, By Type, 2021 - 2030 (USD Million) 11.4.4.1. Brazil 11.4.4.1.1. Brazil market, By Deployment Mode, 2021 - 2030 (USD Million) 11.4.4.1.2. Brazil market, By Component, 2021 - 2030 (USD Million) 11.4.4.1.3. Brazil market, by Vertical, 2021 - 2030 (USD Million) 11.4.4.2. Mexico 11.4.4.2.1. Mexico market, By Deployment Mode, 2021 - 2030 (USD Million) 11.4.4.2.2. Mexico market, By Component, 2021 - 2030 (USD Million) 11.4.4.2.3. Mexico market, by Vertical, 2021 - 2030 (USD Million) 11.4.4.3. Rest of Latin America 11.4.4.3.1. Rest of the Latin America market, By Deployment Mode, 2021 - 2030 (USD Million) 11.4.4.3.2. Rest of the Latin America market, By Component, 2021 - 2030 (USD Million) 11.4.4.3.3. Rest of the Latin America market, by Vertical, 2021 - 2030 (USD Million) 11.5. MEA 11.5.1. MEA market, By Deployment Mode, 2021 - 2030 (USD Million) 11.5.2. MEA market, By Component, 2021 - 2030 (USD Million) 11.5.3. MEA market, by Vertical, 2021 - 2030 (USD Million) 11.5.4. MEA market, by region, 2021 - 2030 (USD Million) 11.5.5. MEA market, By Type, 2021 - 2030 (USD Million) 12. Competitive Landscape 12.1 ALTAIR 12.1.1. Company overview 12.1.2. Financial performance 12.1.3. Solutions Portfolio Analysis 12.1.4. Business Strategy & Recent Development 12.2. Asystom, C3.ai, Inc. 12.2.1. Company overview 12.2.2. Financial performance 12.2.3. Solutions Portfolio Analysis 12.2.4. Business Strategy & Recent Development 12.3. AVEVA Group plc 12.3.1. Company overview 12.3.2. Financial performance 12.3.3. Solutions Portfolio Analysis 12.3.4. Business Strategy & Recent Development 12.4. AWS 12.4.1. Company overview 12.4.2. Financial performance 12.4.3. Solutions Portfolio Analysis 12.4.4. Business Strategy & Recent Development 12.5. Axiomtek Co. Ltd 12.5.1. Company overview 12.5.2. Financial performance 12.5.3. Solutions Portfolio Analysis 12.5.4. Business Strategy & Recent Development 12.6. C3 IoT 12.6.1. Company overview 12.6.2. Financial performance 12.6.3. Solutions Portfolio Analysis 12.6.4. Business Strategy & Recent Development 12.7. COMTRADE 12.7.1. Company overview 12.7.2. Financial performance 12.7.3. Solutions Portfolio Analysis 12.7.4. Business Strategy & Recent Development 12.8. ENGINEERING CONSULTANTS GROUP, INC. 12.8.1. Company overview 12.8.2. Financial performance 12.8.3. Solutions Portfolio Analysis 12.8.4. Business Strategy & Recent Development 12.9. Expert Microsystems, Inc. 12.9.1. Company overview 12.9.2. Financial performance 12.9.3. Solutions Portfolio Analysis 12.9.4. Business Strategy & Recent Development 12.10. Fiix Inc. 12.10.1. Company overview 12.10.2. Financial performance 12.10.3. Solutions Portfolio Analysis 12.10.4. Business Strategy & Recent Development 12.11. General Electric 12.11.1. Company overview 12.11.2. Financial performance 12.11.3. Solutions Portfolio Analysis 12.11.4. Business Strategy & Recent Development 12.12. Google 12.12.1. Company overview 12.12.2. Financial performance 12.12.3. Solutions Portfolio Analysis 12.12.4. Business Strategy & Recent Development 12.13. Hitachi Ltd 12.13.1. Company overview 12.13.2. Financial performance 12.13.3. Solutions Portfolio Analysis 12.13.4. Business Strategy & Recent Development 12.14. HPE 12.14.1. Company overview 12.14.2. Financial performance 12.14.3. Solutions Portfolio Analysis 12.14.4. Business Strategy & Recent Development 12.15. IBM Corporation 12.15.1. Company overview 12.15.2. Financial performance 12.15.3. Solutions Portfolio Analysis 12.15.4. Business Strategy & Recent Development 12.16. Microsoft Corporation 12.16.1. Company overview 12.16.2. Financial performance 12.16.3. Solutions Portfolio Analysis 12.16.4. Business Strategy & Recent Development 12.17. Operational Excellence (OPEX) Group Ltd 12.17.1. Company overview 12.17.2. Financial performance 12.17.3. Solutions Portfolio Analysis 12.17.4. Business Strategy & Recent Development 12.18. Oracle Corporation 12.18.1. Company overview 12.18.2. Financial performance 12.18.3. Solutions Portfolio Analysis 12.18.4. Business Strategy & Recent Development 12.19. PTC INC. 12.19.1. Company overview 12.19.2. Financial performance 12.19.3. Solutions Portfolio Analysis 12.19.4. Business Strategy & Recent Development 12.20. Rapid Miner 12.20.1. Company overview 12.20.2. Financial performance 12.20.3. Solutions Portfolio Analysis 12.20.4. Business Strategy & Recent Development 12.21. SAP SE 12.21.1. Company overview 12.21.2. Financial performance 12.21.3. Solutions Portfolio Analysis 12.21.4. Business Strategy & Recent Development 12.22. SAS Institute 12.22.1. Company overview 12.22.2. Financial performance 12.22.3. Solutions Portfolio Analysis 12.22.4. Business Strategy & Recent Development 12.23. Schneider Electric 12.23.1. Company overview 12.23.2. Financial performance 12.23.3. Solutions Portfolio Analysis 12.23.4. Business Strategy & Recent Development 12.24. Sigma Industrial Precision 12.24.1. Company overview 12.24.2. Financial performance 12.24.3. Solutions Portfolio Analysis 12.24.4. Business Strategy & Recent Development 12.25. Software AG 12.25.1. Company overview 12.25.2. Financial performance 12.25.3. Solutions Portfolio Analysis 12.25.4. Business Strategy & Recent Development 12.26. Spark Cognition 12.26.1. Company overview 12.26.2. Financial performance 12.26.3. Solutions Portfolio Analysis 12.26.4. Business Strategy & Recent Development 12.27. Splunk 12.27.1. Company overview 12.27.2. Financial performance 12.27.3. Solutions Portfolio Analysis 12.27.4. Business Strategy & Recent Development 12.28. TIBCO Software Inc 12.28.1. Company overview 12.28.2. Financial performance 12.28.3. Solutions Portfolio Analysis 12.28.4. Business Strategy & Recent Development 12.29. Uptake Technologies Inc 12.29.1. Company overview 12.29.2. Financial performance 12.29.3. Solutions Portfolio Analysis 12.29.4. Business Strategy & Recent Development 12.30. XMPro 12.30.1. Company overview 12.30.2. Financial performance 12.30.3. Solutions Portfolio Analysis 12.30.4. Business Strategy & Recent Development List of Tables (102 Tables) TABLE 1. MARKET, By Deployment Mode, 2021-2030 (USD Million) TABLE 2. MARKET FOR On-premises, BY REGION, 2021-2030 (USD Million) TABLE 3. MARKET FOR Cloud, BY REGION, 2021-2030 (USD Million) TABLE 4. MARKET FOR Public Cloud, BY REGION, 2021-2030 (USD Million) TABLE 5. MARKET FOR Private Cloud, BY REGION, 2021-2030 (USD Million) TABLE 6. MARKET FOR hybrid cloud, BY REGION, 2021-2030 (USD Million) TABLE 7. MARKET, By Component, 2021-2030 (USD Million) TABLE 8. MARKET FOR Solutions, BY REGION, 2021-2030 (USD Million) TABLE 9. MARKET FOR Integrated, BY REGION, 2021-2030 (USD Million) TABLE 10. MARKET FOR Standalone, BY REGION, 2021-2030 (USD Million) TABLE 11. MARKET FOR Service, BY REGION, 2021-2030 (USD Million) TABLE 12. MARKET FOR Consulting, BY REGION, 2021-2030 (USD Million) TABLE 13. MARKET FOR Managed Services, BY REGION, 2021-2030 (USD Million) TABLE 14. MARKET FOR Professional Services, BY REGION, 2021-2030 (USD Million) TABLE 15. MARKET FOR Support and Maintenance, BY REGION, 2021-2030 (USD Million) TABLE 16. MARKET FOR System Integration, BY REGION, 2021-2030 (USD Million) TABLE 17. MARKET, BY VERTICAL, 2021-2030 (USD Million) TABLE 18. MARKET FOR Energy and Utilities, BY REGION, 2021-2030 (USD Million) TABLE 19. MARKET FOR Government and Defense, BY REGION, 2021-2030 (USD Million) TABLE 20. MARKET FOR Healthcare and Life Sciences, BY REGION, 2021-2030 (USD Million) TABLE 21. MARKET FOR Manufacturing, BY REGION, 2021-2030 (USD Million) TABLE 22. MARKET FOR Transportation and Logistics, BY REGION, 2021-2030 (USD Million) TABLE 23. MARKET, By Organization Size, 2021-2030 (USD Million) TABLE 24. MARKET FOR Large Enterprises, BY REGION, 2021-2030 (USD Million) TABLE 25. MARKET FOR Small and Medium-sized Enterprises (SMEs), BY REGION, 2021-2030 (USD Million) TABLE 26. MARKET, BY REGION, 2021-2030 (USD Million) TABLE 27. NORTH AMERICA MARKET, BY COUNTRY, 2021-2030 (USD Million) TABLE 28. NORTH AMERICA MARKET, By Deployment Mode, 2021-2030 (USD Million) TABLE 29. NORTH AMERICA MARKET, By Component, 2021-2030 (USD Million) TABLE 30. NORTH AMERICA MARKET, BY VERTICAL, 2021-2030 (USD Million) TABLE 31. EUROPE MARKET, BY COUNTRY, 2021-2030 (USD Million) TABLE 32. EUROPE MARKET, By Deployment Mode, 2021-2030 (USD Million) TABLE 33. EUROPE MARKET, By Component, 2021-2030 (USD Million) TABLE 34. EUROPE MARKET, BY VERTICAL, 2021-2030 (USD Million) TABLE 35. ASIA-PACIFIC MARKET, BY COUNTRY, 2021-2030 (USD Million) TABLE 36. ASIA-PACIFIC MARKET, By Deployment Mode, 2021-2030 (USD Million) TABLE 37. ASIA-PACIFIC MARKET, By Component, 2021-2030 (USD Million) TABLE 38. ASIA-PACIFIC MARKET, BY VERTICAL, 2021-2030 (USD Million) TABLE 39. LAMEA MARKET, BY COUNTRY, 2021-2030 (USD Million) TABLE 40. LAMEA MARKET, By Deployment Mode, 2021-2030 (USD Million) TABLE 41. LAMEA MARKET, By Organization Size, 2021-2030 (USD Million) TABLE 42. LAMEA MARKET, BY VERTICAL, 2021-2030 (USD Million) TABLE 43. ALTAIR: COMPANY SNAPSHOT TABLE 44. ALTAIR: OPERATING SEGMENTS TABLE 45. Asystom, C3.ai, Inc.: COMPANY SNAPSHOT TABLE 46. Asystom, C3.ai, Inc.: OPERATING SEGMENTS TABLE 47. AVEVA Group plc: COMPANY SNAPSHOT TABLE 48. AVEVA Group plc: OPERATING SEGMENTS TABLE 49. AWS: COMPANY SNAPSHOT TABLE 50. AWS: OPERATING SEGMENTS TABLE 51. Axiomtek Co. Ltd: COMPANY SNAPSHOT TABLE 52. Axiomtek Co. Ltd: OPERATING SEGMENTS TABLE 53. C3 IoT: COMPANY SNAPSHOT TABLE 54. C3 IoT: OPERATING SEGMENTS TABLE 55. COMTRADE: COMPANY SNAPSHOT TABLE 56. COMTRADE: OPERATING SEGMENTS TABLE 57. ENGINEERING CONSULTANTS GROUP, INC.: COMPANY SNAPSHOT TABLE 58. ENGINEERING CONSULTANTS GROUP, INC.: OPERATING SEGMENTS TABLE 59. Expert Microsystems, Inc.: COMPANY SNAPSHOT TABLE 60. Expert Microsystems, Inc.: OPERATING SEGMENTS TABLE 61. Fiix Inc.: COMPANY SNAPSHOT TABLE 62. Fiix Inc.: OPERATING SEGMENTS TABLE 63. General Electric: COMPANY SNAPSHOT TABLE 64. General Electric: OPERATING SEGMENTS TABLE 65. Google: COMPANY SNAPSHOT TABLE 66. Google: OPERATING SEGMENTS TABLE 67. Hitachi Ltd : COMPANY SNAPSHOT TABLE 68. Hitachi Ltd : OPERATING SEGMENTS TABLE 69. HPE: COMPANY SNAPSHOT TABLE 70. HPE: OPERATING SEGMENTS TABLE 71. IBM Corporation: COMPANY SNAPSHOT TABLE 72. IBM Corporation: OPERATING SEGMENTS TABLE 73. Microsoft Corporation: COMPANY SNAPSHOT TABLE 74. Microsoft Corporation: OPERATING SEGMENTS TABLE 75. Operational Excellence (OPEX) Group Ltd: COMPANY SNAPSHOT TABLE 76. Operational Excellence (OPEX) Group Ltd: OPERATING SEGMENTS TABLE 77. Oracle Corporation: COMPANY SNAPSHOT TABLE 78. Oracle Corporation: OPERATING SEGMENTS TABLE 79. PTC INC.: COMPANY SNAPSHOT TABLE 80. PTC INC.: OPERATING SEGMENTS TABLE 81. Rapid Miner: COMPANY SNAPSHOT TABLE 82. Rapid Miner: OPERATING SEGMENTS TABLE 83. SAP SE: COMPANY SNAPSHOT TABLE 84. SAP SE: OPERATING SEGMENTS TABLE 85. SAS Institute: COMPANY SNAPSHOT TABLE 86. SAS Institute: OPERATING SEGMENTS TABLE 87. Schneider Electric: COMPANY SNAPSHOT TABLE 88. Schneider Electric: OPERATING SEGMENTS TABLE 89. Sigma Industrial Precision: COMPANY SNAPSHOT TABLE 90. Sigma Industrial Precision: OPERATING SEGMENTS TABLE 91. Software AG: COMPANY SNAPSHOT TABLE 92. Software AG: OPERATING SEGMENTS TABLE 93. Spark Cognition: COMPANY SNAPSHOT TABLE 94. Spark Cognition: OPERATING SEGMENTS TABLE 95. Splunk: COMPANY SNAPSHOT TABLE 96 Splunk: OPERATING SEGMENTS TABLE 97. TIBCO Software Inc: COMPANY SNAPSHOT TABLE 98. TIBCO Software Inc: OPERATING SEGMENTS TABLE 99. Uptake Technologies Inc: COMPANY SNAPSHOT TABLE 100. Uptake Technologies Inc: OPERATING SEGMENTS TABLE 101. XMPro: COMPANY SNAPSHOT TABLE 102. XMPro: OPERATING SEGMENTS List of Figures (22 Figures) Figure 1 Market: Research Methodology Steps Figure 2 Research Design Figure 3 Breakdown of Primaries: Market Figure 4 Research Methodology: Hypothesis Building Figure 5 Market: Deployment Mode-Based Estimation Figure 6 Top 30 Companies with Highest No. Of Patent in Last 9 Years Figure 7 No. Of Patents Granted Per Year, 2019–2020 Figure 8 Import Data for Predictive Maintenance, By Country, 2016–2020 (USD Thousand) Figure 9 Export Data for Predictive Maintenance, By Country, 2016–2020 (USD Thousand) Figure 10 Data Triangulation Methodology Figure 11 Market, By Component, 2019 vs. 2025 (USD Million) Figure 12 Market Share, By Vertical, 2019 vs. 2025 (USD Million) Figure 13 Market Share, By Deployment Mode, 2019 vs. 2025 (USD Million) Figure 14 Market Share, By Organization Size, 2019 vs. 2025 (USD Million) Figure 15 Geographical Snapshot of the Market Figure 16 On-premises to Witness Higher CAGR in the Market for Deployment Mode Segment during the Forecast Period. Figure 17 Solutions to Witness Higher CAGR in Market for Component during Forecast Period. Figure 18 North America Accounted for the Largest Share of the Market, By Regional Basis, in 2019 Figure 19 Market: Drivers, Restraints, Opportunities, and Challenges Figure 20 North America: Market Snapshot Figure 21 Asia Pacific: Market Snapshot Figure 22 Vendor Dive: Evaluation Overview