The research study for the predictive maintenance market involved extensive secondary sources, directories, International Journal of Innovation and Technology Management and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred market providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.
Secondary Research
The market size of companies offering predictive maintenance hardware, solutions and services was arrived at based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality.
The market size of companies offering predictive maintenance market hardware, solutions and services was arrived at based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality. In the secondary research process, various sources were referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors websites. Additionally, predictive maintenance market spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on hardware, solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to component, technology, technique, organization size, verticals, and regions, and key developments from both market- and technology-oriented perspectives.
Primary Research
In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and predictive maintenance market expertise; related key executives from predictive maintenance market solution vendors, System Integrators (SIs), professional service providers, and industry associations; and key opinion leaders.
Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped in understanding various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using predictive maintenance market solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of predictive maintenance market hardware, solutions and services, which would impact the overall predictive maintenance market.
The following is the breakup of primary profiles:
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Market Size Estimation
Multiple approaches were adopted for estimating and forecasting the predictive maintenance market. The first approach involves estimating the market size by summation of companies’ revenue generated through the sale of solutions and services.
Market Size Estimation Methodology- Top-down approach
In the top-down approach, an exhaustive list of all the vendors offering hardware, solutions and services in the predictive maintenance market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on the breadth of hardware, solutions, solution by deployment mode, and services, technology, technique, organization size, vertical and regions. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets repository for validation.
Market Size Estimation Methodology-Bottom-up approach
In the bottom-up approach, the adoption rate of predictive maintenance hardware, solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of predictive maintenance hardware, solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.
Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the predictive maintenance market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major predictive maintenance hardware, solution, service providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall predictive maintenance market size and segments’ size were determined and confirmed using the study.
Top-down and Bottom-up approaches
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Data Triangulation
After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Market Definition
According to TIBCO Spotfire, Predictive maintenance, also referred to as condition-based maintenance, involves performance monitoring and equipment condition monitoring during regular operations to reduce the chances of a breakdown. Manufacturers began using predictive maintenance in the nineties.
According to Splunk, Predictive maintenance is a maintenance strategy that uses machine learning algorithms trained with Industrial Internet of Things (IIoT) data to make predictions about future outcomes, such as determining the likelihood of equipment and machinery breaking down.
Stakeholders
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Predictive maintenance service providers
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Predictive maintenance vendors
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System integrators
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Value-added resellers
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IoT platform providers
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AI solution developers
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Information Technology (IT) service providers
Report Objectives
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To describe and forecast the predictive maintenance market, in terms of value,
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by component, technology, technique, organization size, and vertical
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To describe and forecast the market, in terms of value,
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by region—North America, Europe, Asia Pacific, Middle East & Africa and Latin America
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To provide detailed information regarding major factors influencing the market growth (drivers, restraints, opportunities, and challenges)
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To strategically analyze micromarkets1 with respect to individual growth trends, prospects, and contribution to the overall market
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To profile key players and comprehensively analyze their market positions in terms of ranking and core competencies2, along with detailing the competitive landscape for market leaders
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To analyze competitive developments such as joint ventures, mergers and acquisitions, product developments, and ongoing research and development (R&D) in the predictive maintenance market
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To provide the illustrative segmentation, analysis, and projection of the main regional markets
Available Customizations
With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
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The product matrix provides a detailed comparison of the product portfolio of each company.
Geographic Analysis as per feasibility
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Further breakup of the North American predictive maintenance Market
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Further breakup of the European Market
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Further breakup of the Asia Pacific Market
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Further breakup of the Middle East & Africa Market
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Further breakup of the Latin American Market
Company Information
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Detailed analysis and profiling of additional market players (up to five)
Growth opportunities and latent adjacency in Predictive Maintenance Market