India Predictive Maintenance Market: Industry Analysis and Forecast (2019-2026): By Component, Deployment Modes, Organization Size and Vertical.

India Predictive Maintenance Market: Industry Analysis and Forecast (2019-2026): By Component, Deployment Modes, Organization Size and Vertical.

Market Scenario

India Predictive Maintenance Market was valued US$ XX Mn in 2018 and is expected to reach US$ XX Mn by 2026, at a XX% CAGR of around during a forecast period. India Predictive Maintenance Market Predictive maintenance is a procedure for checking/monitoring equipment over the operation to identify any deterioration, enabling maintenance to be planned and different operational. It is basically used in the context of Industry 4.0. The report on Indian predictive maintenance covers the detail analysis of the market dynamics such as drivers, restraints, trends, and opportunities. Predictive maintenance technique is widely adopted by various manufactures in addition to serve industries and to improve equipment and process quality, safety, also efficiency. Indian manufacturing companies are in constant need for improving reliability, service management and performance. Growing need to improve uptime of equipment, reducing maintenance cost, rising investment on predictive maintenance are likely to impact the Indian market growth positively. Additionally, integration of predictive maintenance with industrial internet of things (IIoT) and use of machine learning and real-time condition monitoring to help in taking rapid actions are estimated to be Indian predictive maintenance market opportunity. However, lack of data storage and data privacy issues are likely to restrict the Indian market growth for predicative maintenance. The report on Indian predictive maintenance market provides segments like component, deployment modes, organization size and vertical. Based on deployment mode, the cloud deployment segment is dominating the Indian market for predictive maintenance and valued around US$ XX Mn in 2018. Because of their drivers, like easy maintaining of generated data, scalability, effective management, and cost-effectiveness. Various vendors in the field of Indian predictive maintenance market deliver cloud-based maintenance solutions in making the highest profits and efficiently automate the equipment maintenance procedure. Predictive maintenance allow Indian governments to target likely problems before they erupt into crises. Recent developments in machine learning, natural language processing (NLP), and speech and image credit have made it possible for government to predict problems. Indian companies now-a-days are also adding sensor technology with maintenance activity to offer an efficient predictive maintenance solutions system, to cater the desires for different organizations. Additionally, the continuous research going on in remote maintenance and e-maintenance are aiding and supporting maintenance activity in remote and unsafe working conditions. The major players operating in the Indian market for predictive maintenance are IBM, SAS, oracle, etc. Company aids organizations to enhance maintenance programs by developing a set of recommendations to do when exact changes in asset health are identified. The objective of the report is to present comprehensive analysis of India 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 the all the aspects of industry with dedicated study of key players that includes market leaders, followers and new entrants by region. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors by region on 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 analyzed, which will give clear futuristic view of the industry to the decision makers. The report also helps in understanding India Predictive Maintenance Market dynamics, structure by analyzing the market segments, and project the India Predictive Maintenance Market size. Clear representation of competitive analysis of key players by type, price, financial position, product portfolio, growth strategies, and regional presence in the India Predictive Maintenance Market make the report investor’s guide.

Scope of the India Predictive Maintenance Market

India Predictive Maintenance Market, by Component

• Solutions o Integrated o Standalone • Services o System Integration o Support and Maintenance o Consulting

India Predictive Maintenance Market, by Deployment Modes

• On-premises • Cloud

India Predictive Maintenance Market, by Organization size

• Large Enterprises • Small and Medium-sized Enterprises (SMEs)

India Predictive Maintenance Market, by Vertical

• Government and Defense • Manufacturing • Energy and Utilities • Transportation and Logistics • Healthcare and Life Sciences • Others

Key players operating in India Predictive Maintenance Market

• Ecolibrium Energy • Fujitsu • IBM • Microsoft • Oracle • SAS • Cambridge Analytica • Civis Analytics • RapidMiner • SAP SE

Table of Contents

India Predictive Maintenance Market

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: India 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. India Predictive Maintenance Market Analysis and Forecast, By Deployment Modes 6.1. Introduction and Definition 6.2. Key Findings 6.3. India Predictive Maintenance Market Value Share Analysis, By Deployment Modes 6.4. India Predictive Maintenance Market Size (US$ Mn) Forecast, By Deployment Modes 6.5. India Predictive Maintenance Market Analysis, By Deployment Modes 6.6. India Predictive Maintenance Market Attractiveness Analysis, By Deployment Modes 7. India Predictive Maintenance Market Analysis and Forecast, By Component 7.1. Introduction and Definition 7.2. Key Findings 7.3. India Predictive Maintenance Market Value Share Analysis, By Component 7.4. India Predictive Maintenance Market Size (US$ Mn) Forecast, By Component 7.5. India Predictive Maintenance Market Analysis, By Component 7.6. India Predictive Maintenance Market Attractiveness Analysis, By Component 8. India Predictive Maintenance Market Analysis and Forecast, By Organization size 8.1. Introduction and Definition 8.2. Key Findings 8.3. India Predictive Maintenance Market Value Share Analysis, By Organization size 8.4. India Predictive Maintenance Market Size (US$ Mn) Forecast, By Organization size 8.5. India Predictive Maintenance Market Analysis, By Organization size 8.6. India Predictive Maintenance Market Attractiveness Analysis, By Organization size 9. India Predictive Maintenance Market Analysis and Forecast, By Vertical 9.1. Introduction and Definition 9.2. Key Findings 9.3. India Predictive Maintenance Market Value Share Analysis, By Vertical 9.4. India Predictive Maintenance Market Size (US$ Mn) Forecast, By Vertical 9.5. India Predictive Maintenance Market Analysis, By Vertical 9.6. India Predictive Maintenance Market Attractiveness Analysis, By Vertical 10. India Predictive Maintenance Market Analysis 10.1. Key Findings 10.2. India Predictive Maintenance Market Overview 10.3. India Predictive Maintenance Market Value Share Analysis, By Deployment Modes 10.4. India Predictive Maintenance Market Forecast, By Deployment Modes 10.4.1. On-premises 10.4.2. Cloud 10.5. India Predictive Maintenance Market Value Share Analysis, By Component 10.6. India Predictive Maintenance Market Forecast, By Component 10.6.1. Solutions 10.6.1.1. Integrated 10.6.1.2. Standalone 10.6.2. Services 10.6.2.1. System Integration 10.6.2.2. Support and Maintenance 10.6.2.3. Consulting 10.7. India Predictive Maintenance Market Value Share Analysis, By Organization size 10.8. India Predictive Maintenance Market Forecast, By Organization size 10.8.1. Large Enterprises 10.8.2. Small and Medium-sized Enterprises (SMEs) 10.9. India Predictive Maintenance Market Value Share Analysis, By Vertical 10.10. India Predictive Maintenance Market Forecast, By Vertical 10.10.1. Government and Defense 10.10.2. Manufacturing 10.10.3. Energy and Utilities 10.10.4. Transportation and Logistics 10.10.5. Healthcare and Life Sciences 10.10.6. Others 11. Company Profiles 11.1. Market Share Analysis, by Company 11.2. Competition Matrix 11.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment 11.2.2. New Product Launches and Product Enhancements 11.2.3. Market Consolidation 11.2.3.1. M&A Indian, Investment and Applications 11.2.3.2. M&A Key Players, Forward Integration and Backward Integration 11.3. Company Profiles: Key Players 11.3.1. Ecolibrium Energy 11.3.1.1. Company Overview 11.3.1.2. Financial Overview 11.3.1.3. Product Portfolio 11.3.1.4. Business Strategy 11.3.1.5. Recent Developments 11.3.1.6. Company Footprint 11.3.2. Fujitsu 11.3.3. IBM 11.3.4. Microsoft 11.3.5. Oracle 11.3.6. SAS 11.3.7. Cambridge Analytica 11.3.8. Civis Analytics 11.3.9. RapidMiner 11.3.10. SAP SE 12. Primary Key Insights

About This Report

Report ID40580
Published DateDec 2019
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