The global predictive maintenance industry is expected to reach over $22 billion by 2026

Global predictive maintenance market

Global predictive maintenance market

Dublin, 03 Feb. 2022 (GLOBE NEWSWIRE) — The “Global Predictive Maintenance Market, By Component (Service, Solution), By Test Type (Vibration Analysis, Electrical System Assessment, Others), By Deployment, By Organization Size, By End User, By Region, Forecast competition and opportunities, 2026″ report has been added to from ResearchAndMarkets.com offer.

Global predictive maintenance market was valued at USD 4.270 billion in 2020 and is expected to grow with a CAGR of 31.85% to reach USD 22.429 billion by 2026.

The increasing development in the transport and logistics industry, the implementation of strict safety standards by major authorities, and the increasing use of advanced technologies by manufacturing industries to increase quality and reduce lead times. shutdown are the major growth factors of the global predictive maintenance market for the forecast period.

Digitization of manufacturing industries and transformation towards Industry 4.0 to improve volume productivity is supporting the growth of the global predictive maintenance market. Implementing predictive maintenance in industries to detect potential problems at an early stage to reduce the chances of equipment failure makes the manufacturing process smooth. Predictive maintenance helps to plan the repair schedule in manufacturing industries, which improves resource utilization. Companies are using machine learning and artificial intelligence technology to achieve a higher degree of accuracy, precision, and speed than conventional commercial tools for analyzing IoT data. Predictive maintenance helps generate real-time data through continuous monitoring by taking inputs from sensors and actuators, which helps organizations take quick action. However, higher upfront costs and rising data security and privacy concerns may hamper the growth of the global predictive maintenance market during the forecast period.

The global predictive maintenance market is divided into component, test type, deployment, organization size, end user, regional distribution and competitive landscape. Based on the regional analysis, North America is expected to hold the major market share during the forecast period 2022-2026. Rising government support for regulatory compliance, growing presence of market players, and high-end investments by organizations for the adoption of advanced technologies such as Internet of Things, Machine Learning, and Artificial Intelligence support the growth of the global predictive maintenance market in the forecast. period.

Schneider Electric SE, Hitachi Technologies Co Ltd, IBM Corp., Siemens AG, Bosch Software Innovations GmbH, Microsoft Corporation, TIBCO Software Inc., C3 Inc., SAP SE, Software AG, PTC Inc., General Electric Company, etc. some of the key players operating in the global predictive maintenance market.

Goal of the study:

  • To analyze historical market size growth of the global predictive maintenance market from 2016 to 2020.

  • Estimate and forecast the market size of global predictive maintenance market from 2021 to 2026 and the growth rate till 2026.

  • To classify and forecast the global Predictive Maintenance Market based on component, test type, deployment, organization size, end-user, regional distribution, and competitive landscape.

  • To identify the dominant region or segment in the global predictive maintenance market.

  • Identify drivers and challenges of the global predictive maintenance market.

  • Examine competitive developments such as expansions, new product launches, mergers and acquisitions, etc., in the global predictive maintenance market.

  • To identify and analyze the profiles of key players operating in the global predictive maintenance market.

  • To identify the key sustainable strategies adopted by market players in the global Predictive Maintenance Market.

Main topics covered:

1. Product introduction

2. Research methodology

3. Impact of COVID-19 on the global predictive maintenance market

4. Executive Summary

5. Voice of the customer
5.1. Predictive maintenance utilization percentage, by industrial asset component
5.2. Predictive maintenance utilization percentage, by deployment component
5.3. Satisfaction score – Existing predictive maintenance software
5.4. Percent usage share, by predictive maintenance software component

6. Global Predictive Maintenance Market Outlook
6.1. Market size and forecast
6.1.1. By value
6.2. Market share and forecasts
6.2.1. By Component (Service, Solution)
6.2.2. By Test Type (Vibration Analysis, Power System Assessment, Infrared Thermal Inspection, Insulating Fluid Analysis, Circuit Monitoring Analysis, Automotive, Retail & eCommerce, Others)
6.2.3. Per deployment (on-premises, cloud)
6.2.4. By size of organization (SME, large enterprise)
6.2.5. By End User (Aerospace & Defense, Energy & Infrastructure, Logistics & Transportation, Manufacturing, Oil & Gas, Automotive, Retail & eCommerce, Other)
6.2.6. By company (2020)
6.2.7. By region
6.3. Market map

7. North America Predictive Maintenance Market Outlook

8. Europe Predictive Maintenance Market Outlook

9. Asia-Pacific Predictive Maintenance Market Outlook

10. Middle East & Africa Predictive Maintenance Market Outlook

11. South America Predictive Maintenance Market Outlook

12. Market dynamics
12.1. Drivers
12.2. Challenges

13. Market trends and developments

14. Competitive landscape
14.1. Schneider Electric SE
14.2. Hitachi Technologies Co Ltd
14.3. IBM Corporation
14.4. Siemens AG
14.5. Bosch Software Innovations GmbH
14.6. Microsoft Corporation
14.7. TIBCO Software Inc.
14.8. C3 inc.
14.9. SAP SE
14.10. Software SA
14.11. PTC Inc.
14.12. General electricity company
14.13. Rockwell Automation Inc.
14.14. Honeywell International Inc.
14.15. Fujitsu Ltd.

15. Strategic Recommendations

For more information on this report, visit https://www.researchandmarkets.com/r/gypied

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