The data and information about North America Predictive Maintenance market are taken from reliable sources such as websites, annual reports of the companies, and journals, and then validated by the market experts. It covers major manufacturers, suppliers, distributors, traders, customers, investors and major types, major applications. The principal players of the North America Predictive Maintenance market are making moves like product launches, joint ventures, developments, mergers and acquisitions which is affecting the market and ICT Industry as a whole and also affecting the sales, import, export, revenue and CAGR values. The reliable North America Predictive Maintenance market analysis report brings into light key market dynamics of the sector.

North America Predictive Maintenance market study has market attractiveness analysis, wherein each segment is benchmarked based on its market size, growth rate, and general attractiveness. The industry report is based on the market type, organization size, availability on-premises and the end-users’ organization type, and the availability in areas such as North America, South America, Europe, Asia-Pacific and Middle East & Africa. It divulges the nature of demand for the firm’s product to know if the demand for the product is constant or seasonal. The info covered in the wide ranging North America Predictive Maintenance report lends a hand to businesses know how patents, licensing agreements and other legal restrictions affect the manufacture and sale of the firm’s products.

Data Bridge Market Research analyses that the predictive maintenance market is expected to reach USD 60,608.62 million by 2030, which was USD 3,923.85 million in 2022, at a CAGR of 40.80% during the forecast period. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.

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Driver:

  • Growing demand to reduce equipment failure, maintenance costs, and downtime

The increasing demand to decrease equipment failure, maintenance costs, and downtime considerably contributes to the predictive maintenance market growth. Equipment downtime is when specific equipment is not in operation because of unplanned equipment failure. Unplanned downtime and regular equipment failure of large equipment hinder business operations because of the temporary halt of production activities, financial penalties, idle staff time, and others. Hence, increasing demand to reduce equipment failure, maintenance costs, and downtime will likely increase demand for predictive maintenance in the forecast period.

  • Increasing the number of industries globally to meet demand and supply

A growing number of medium and small-scale enterprises in the North American region globe is one of the major factors fostering the growth of the predictive maintenance market. In other words, the increased number of government and public sector, banking, financial services, and insurance (BFSI), healthcare and life sciences, retail and e-commerce, telecommunication, manufacturing, and IT industries directly influences the growth rate of the predictive maintenance market.

Some key players mentioned in the report are:

Microsoft (U.S.), IBM (U.S.), SAP (Germany), SAS Institute Inc. (U.S.), Software AG (Germany), Cloud Software Group, Inc. (U.S.), Hewlett Packard Enterprise Development LP (U.S.), Altair Engineering Inc. (U.S.), Splunk Inc. (U.S.), Oracle (U.S.), Google (U.S.), Amazon Web Services, Inc. (U.S.), General Electric (U.S.), Schneider Electric (France), Hitachi, Ltd. (Japan), PTC (U.S.), RapidMiner (U.S), Operational Excellence (OPEX) Group Ltd, (U.K.), DINGO Software Pty. Ltd. (Australia), CHIRON Swiss SA (Russia)

Key Insights that Study is going to provide:

·         The 360-degree North America Predictive Maintenance overview based on a global and regional level

·         Market Share & Sales Revenue by Key Players & Emerging Regional Players

·         A separate chapter on Market Entropy to gain insights on Leaders aggressiveness towards market [Merger & Acquisition / Recent Investment and Key Developments]

·         May vary depending upon availability and feasibility of data with respect to Industry targeted

·         Patent Analysis** No of patents / Trademark filed in recent years.

·         A complete and useful guide for new market aspirants

·         Forecast information will drive strategic, innovative and profitable business plans and SWOT analysis of players will pave the way for growth opportunities, risk analysis, investment feasibility and recommendations

·         Various North America Predictive Maintenance industry leading players are studied with respect to their company profile, product portfolio, capacity, price, cost, and revenue.

Key Market Segmentation:

By Components (Solution, Services), Deployment Mode (Cloud, On-Premise), Organisation Size (Large Enterprises, Small and Medium-Sized Enterprises), Vertical (Manufacturing, Energy and Utilities, Transportation, Government, Healthcare, Aerospace, and Defence, Others), Stakeholder (MRO, OEM/ODM, Technology Integrators)

The countries covered in the North America Predictive Maintenance Market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

Table of Contents:

Executive Summary

Market Landscape

Market Sizing

Five Forces Analysis

Market Segmentation by End-user

Customer Landscape

Geographic Landscape

Key leading countries

Vendor Landscape

Vendor Analysis

Appendix

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