Unlock What Growth Predictive Maintenance (PdM) Market May See in Future; Participants Still Eyeing Growth in Market

Predictive Maintenance (PdM) Market Latest Edition Published with Forecast to 2030
The article cited AMA's Global Predictive Maintenance (PdM) Market Study explored substantial growth with CAGR of %. According the report, Emerging demand for cloud-based Predictive Maintenance (PdM) is one of the primary growth factors for the market. Growing the use of emerging technologies to gain valuable insights is also expected to contribute significantly to the Predictive Maintenance (PdM) market. Overall, Manufacturing applications of Predictive Maintenance (PdM), and the growing awareness of them, is what makes this segment of the industry important to its overall growth. The presence of players such as ABB Limited (Switzerland), Siemens AG (Germany), SparkCognition (United States), GE (United States), C3 IoT (United States), IBM (United States), Microsoft (United States), Micro Focus (United Kingdom), SAP (Germany), Hitachi (Japan), PTC (United States), HPE (United States) and AWS (United States) may see astonishing sales in this Market and certainly improve revenue growth.


The , such as , is boosting the Predictive Maintenance (PdM) market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.


AMA’s Analyst on the Global Predictive Maintenance (PdM) market identified that the demand is rising in many different parts of the world as "Real-time condition monitoring to assist in taking prompt actions ". Furthermore, some recent industry insights like "In June 2023, Accenture acquired Nextira, an AWS Premier Partner to deliver cloud-native innovation, predictive analytics and immersive experience. Nextira solution will help to increase Accenture Cloud First’s engineering capabilities and allow their clients to take advantage of cloud capabilities and tools." is constantly making the industry dynamic. One of the challenges that industry facing is "Concern over data security and privacy issues"

The report provides an in-depth analysis and forecast about the industry covering the following key features:

• Detailed Overview of Predictive Maintenance (PdM) market will help deliver clients and businesses making strategies.
• Influencing factors that thriving demand and latest trend running in the market
• What is the market concentration? Is it fragmented or highly concentrated?
• What trends, challenges and barriers will impact the development and sizing of Predictive Maintenance (PdM) market
• SWOT Analysis of profiled players and Porter's five forces & PEST Analysis for deep insights.
• What growth momentum or downgrade market may carry during the forecast period?
• Which region may tap highest market share in coming era?
• What focused approach and constraints are holding the Predictive Maintenance (PdM) market tight?
• Which application/end-user category or Product Type [] may seek incremental growth prospects?
• What would be the market share of key countries like Germany, USA, France, China etc.?

Market Size Estimation
In market engineering method, both top-down and bottom-up approaches have been used, along with various data triangulation process, to predict and validate the market size of the Predictive Maintenance (PdM) market and other related sub-markets covered in the study.

o Key & emerging players in the Predictive Maintenance (PdM) market have been observed through secondary research.
o The industry’s supply chain and overall market size, in terms of value, have been derived through primary and secondary research processes.
o All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation
The overall Predictive Maintenance (PdM) market size is calculated using market estimation process, the Predictive Maintenance (PdM) market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global Predictive Maintenance (PdM) market size has been validated using both top-down and bottom-up approaches.

Praveen Kumar

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