Global Predictive Maintenance Market: Emerging Trends, Major Key Players IBM (US) and Microsoft (US)

According to the report, The global predictive maintenance market size is expected to grow from USD 4.0 billion in 2020 to USD 12.3 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 25.2% from 2021 to 2028. One of the driving forces behind predictive maintenance is the growing deployment of analytical technology that works with real-time data. Streaming analytics allows you to perform statistical analysis on a stream of data in real-time. Companies must respond to analytics data quickly within a limited window of opportunity before the data loses its value, thus this provides timely and relevant information. Predictive maintenance is aided by streaming analytics, which monitors asset health through real-time data processing and alerts when maintenance is required. The ability to track these machines in real-time allows for immediate diagnosis and treatment of issues before they arise. As a result of this technology, demand for predictive maintenance systems to be put on the shop floor will increase, boosting the market.

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The latest research report published by Evolve Business Intelligence examines the impacts of numerous market aspects on the global PREDICTIVE MAINTENANCE industry including a look at the current market size and forecasts for key segments and regions, the driving forces behind the market, the probable effects from key trends, how all these will affect the business plan, SWOT analysis of critical sectors for each of the key competitors, customers and more! Providing valuable data about conglomerations that are most likely going to have an impact on this industry is essential to any company who plans to properly invest for next 5 years. These findings supplement our initial quantitative study in order to facilitate any new investments or planning traits against threats in existing sectors through a strategic business plan.

Impact of COVID-19

The on-going COVID-19 pandemic has had a significant impact on the industry. Several financial impacts and disruptions have been felt over a long period of time. Our research has interviewed numerous delegates from this industry, across geographical markets to collect information that is helpful for addressing potential challenges the COVID-19 pandemic may cause going forward.
In terms of COVID 19 impact, the Predictive Maintenance market report also includes the following data points:
• Impact of COVID-19
• Government Aids and Policies for Industry Revival
• Companies Recent Developments to Tackle Negative Impact
• Opportunity Window & Post COVID Trend

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Key Players
Some of the major Predictive Maintenance players holding highest market share include IBM (US), Microsoft (US), SAP (Germany) and Hitachi (Japan). These players use expansion as a key strategy to gain significant market share to compete with market leaders.

The key players profiled in the report are:
• IBM (US)
• Microsoft (US)
• SAP (Germany)
• Hitachi (Japan)
• PTC (US)
• GE (US)
• Schneider Electric (France)
• Software AG (Germany)
• SAS (US)
• TIBCO (US)

Segmental Analysis

Market Segment By component with focus on market share, consumption trend, and growth rate of PREDICTIVE MAINTENANCE Market:
• Software
o Integrated
o Standalone
• Services
o Managed Services
o Professional Services
 System Integration
 Support and Maintenance
 Consulting

Market Segment By deployment mode with focus on market share, consumption trend, and growth rate of PREDICTIVE MAINTENANCE Market:
• Cloud
o Public Cloud
o Private Cloud
o Hybrid Cloud
• On-premise

Market Segment By organization size with a focus on market share, consumption trend, and growth rate of PREDICTIVE MAINTENANCE Market:
• Large Enterprises
• Small and Medium-sized Enterprises (SMEs)

Market Segment By vertical with a focus on market share, consumption trend, and growth rate of PREDICTIVE MAINTENANCE Market:
• Government and Defense
• Manufacturing
• Energy and Utilities
• Transportation and Logistics
• Healthcare and Life Sciences
• Others (Agriculture, Telecom, Media, and Retail)

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Global Predictive Maintenance Geographic Coverage:
• North America
o US
o Canada

• Europe
o UK
o Germany
o France
o Italy
o Spain
o Rest of Europe

• Asia Pacific
o China
o Japan
o India
o South Korea
o Indonesia
o Malaysia
o Rest of Asia Pacific

• Latin America
o Mexico
o Brazil
o Argentina
o Rest of Latin America

• Middle East & Africa
o Saudi Arabia
o UAE
o Egypt
o South Africa
o Rest of MEA

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