According the report, Rising Use Of Cloud-Based Industrial Maintenance Management Software is one of the primary growth factors for the market. Increase In The Adoption Of the Internet of Things (IoT) Devices is also expected to contribute significantly to the Operational Predictive Maintenance market. Overall, Public Sector applications of Operational Predictive Maintenance, and the growing awareness of them, is what makes this segment of the industry important to its overall growth.

AMA’s Analyst on the Global Operational Predictive Maintenance market identified that the demand is rising in many different parts of the world as "COVID-19 Pandemic Increasing the Need for Remote Monitoring and Management of Assets and Business Processes". Furthermore, some recent industry insights like "In October 2023, GE Digital launched "Predix APM Suite 4.0," featuring advanced anomaly detection algorithms, automated root cause analysis, and improved integration with industrial IoT platforms." is constantly making the industry dynamic. One of the challenges that industry facing is "Lack Of Technological Knowledge"

The Deployment Mode, such as On-premise, is boosting the Operational Predictive Maintenance market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The Enterprise Size, such as Large Enterprises, is boosting the Operational Predictive Maintenance market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The report provides an in-depth analysis and forecast about the industry covering the following key features:
o Industry outlook including current and future market trends, drivers, restraints, and emerging technologies
o Analyses the Global Operational Predictive Maintenance market according to Type, Application, and regions
o Analyzes the top 10 players in terms of market reach, business strategy, and business focus
o Provides stakeholders’ insights and key drivers & trends of the market

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 Operational Predictive Maintenance market and other related sub-markets covered in the study.

o Key & emerging players in the Operational Predictive Maintenance 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 Operational Predictive Maintenance market size is calculated using market estimation process, the Operational Predictive Maintenance 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 Operational Predictive Maintenance market size has been validated using both top-down and bottom-up approaches.