Global Predictive Maintenance Solution Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Global Predictive Maintenance Solution Market 2024 by Company, Regions, Type and Application, Forecast to 2030

Modern businesses are in a time of unprecedented change and competition. The Amazon Effect has led to a rapid rise in consumer demands for control, personalization, and speed. A shifting trade and political climate has left many companies struggling to maintain affordable supply and manufacturing relationships. And as more and more businesses undergo digital transformation, competition is rising and the margin for error is increasingly slim. As a result, today’s business leaders are looking to gain a competitive edge through smart solutions, solutions mainly include reactive, preventive, and predictive maintenance, which predict when asset maintenance is needed, help increase cost efficiency, and streamline their often complex enterprise asset management requirements.

According to our (Global Info Research) latest study, the global Predictive Maintenance Solution market size was valued at US$ 5452 million in 2023 and is forecast to a readjusted size of USD 16370 million by 2030 with a CAGR of 17.2% during review period.

Global core predictive maintenance solution manufacturers include IBM, Microsoft, SAP etc.The top 5 companies hold a share about 70%.North America is the largest market, with a share about 35%, followed by Europe and Asia Pacific with the share about 30% and 28%.In terms of product, cloud based is the largest segment, with a share over 75%. And in terms of application, the largest application is industrial and manufacturing, followed by transportation and logistics.

This report is a detailed and comprehensive analysis for global Predictive Maintenance Solution market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2024, are provided.

Key Features:

Global Predictive Maintenance Solution market size and forecasts, in consumption value ($ Million), 2019-2030

Global Predictive Maintenance Solution market size and forecasts by region and country, in consumption value ($ Million), 2019-2030

Global Predictive Maintenance Solution market size and forecasts, by Type and by Application, in consumption value ($ Million), 2019-2030

Global Predictive Maintenance Solution market shares of main players, in revenue ($ Million), 2019-2024

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for Predictive Maintenance Solution

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global Predictive Maintenance Solution market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, Microsoft, SAP, GE Digital, Schneider, Hitachi, Siemens, Intel, RapidMiner, Rockwell Automation, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Market segmentation

Predictive Maintenance Solution market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segmentation

Predictive Maintenance Solution market is split by Type and by Application. For the period 2018-2029, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type
Cloud Based
On-premises

Market segment by Application
Industrial and Manufacturing
Transportation and Logistics
Energy and Utilities
Healthcare and Life Sciences
Education and Government
Others

Market segment by players, this report covers
IBM
Microsoft
SAP
GE Digital
Schneider
Hitachi
Siemens
Intel
RapidMiner
Rockwell Automation
Software AG
Cisco
Oracle
Fujitsu
Dassault Systemes
Augury Systems
TIBCO Software
Uptake
Honeywell
PTC
Huawei
ABB
AVEVA
SAS
SKF
Emerson
Mpulse
Maintenance Connection
Dingo
Particle

Market segment by regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia, Italy and Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)

South America (Brazil, Rest of South America)

Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe Predictive Maintenance Solution product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of Predictive Maintenance Solution, with revenue, gross margin, and global market share of Predictive Maintenance Solution from 2019 to 2024.

Chapter 3, the Predictive Maintenance Solution competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2019 to 2030.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Predictive Maintenance Solution market forecast, by regions, by Type and by Application, with consumption value, from 2024 to 2030.

Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of Predictive Maintenance Solution.

Chapter 13, to describe Predictive Maintenance Solution research findings and conclusion.