PUBLISHER: SkyQuest | PRODUCT CODE: 1244232
PUBLISHER: SkyQuest | PRODUCT CODE: 1244232
Global Process Mining Software Market was valued at USD 626.9 million in the year 2021, and it is expected to reach USD 933.1 million by 2028, at a CAGR of 49% over the forecast period (2022-2028).
Business process management (BPM) software, such as process mining software, uses data mining techniques to recognise, model, and monitor business processes. Data from event logs can be analysed by process mining software to automatically generate process models that can be used to improve process performance.
As businesses seek to tighten their process audits and compliance processes, there is a growing need for process mining software. The need for process mining software and services is also being pushed by the growing adoption of cloud solutions and services, digital transformation initiatives, and businesses' growing awareness of the value of understanding and analysing business processes. Due to a considerable number of businesses switching from an on-premises to a cloud-based strategy as a result of the COVID-19 pandemic, the market for process mining software has grown quickly. When an organisation undergoes digital transformation, for instance, there are often three consequences that occur: a change in the business model, a change in the scope of the product and service offerings, and a change in the value chain. Due to the digital revolution, organisations are being forced to assess present practises and make the necessary adjustments to improve productivity and customer experience.
Top-down and bottom-up approaches were used to estimate and validate the size of Asia Pacific Process Mining Software Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined by using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Segments covered in this report
The Global Process Mining Software Market is segmented based on Component, Deployment, Application, Industry Vertical and Region. Based on Component it is segmented into Services, Software. Based on Deployment it is segmented into: Cloud-based, On-Premises. Based on Application it is categorized into Strategic Sourcing, Contract Management, Category Management, Transactional Procurement, Supplier Management. Based on Industry Vertical it is segmented into Manufacturing, Healthcare, BFSI, Consumer Goods & Services, Telecommunications&IT, Logistics &Transportation, Others. Based on region it is categorized into: North America, Europe, Asia-Pacific, South America, and MEA.
Driver
During the past few decades, the market for process mining software has grown significantly, propelled by factors such as the rising adoption of technology-based applications and the fusion of RPA with processing mining software.
Automation is assisting businesses across all industries as they move towards digital transformation. They are looking for technology that will increase productivity while cost-effectively covering its investment.
The market for process mining software is expanding as a result of several important aspects, such as the recording of event logs to identify genuine business processes and the performance of compliance checks to identify anomalies in business operations.
A few benefits of artificial intelligence include business insight, greater datasets, and enriched event logs. As a result, it is projected that the use of process mining and artificial intelligence would improve customer services and grow a market.
Restraint
Since process mining software depends on historical and real-time data for efficient operation, a privacy and security problem can be to blame for the market's slow growth. It has access to both the private and confidential information of clients as well as all business data. User data may not be safe and secure.
In other nations, businesses still rely on the tried-and-true interviewing and sticky note approach. Sometimes the usual approach is seen as being overly subjective and is viewed with understandable scepticism. The lack of funds for the introduction of novel technologies into an organisation to enhance the process or work-flow is another factor that is expected to hamper the growth of the process mining software market in developing countries.
Market Trends
More focus is being placed on user experience and accessibility: Many process mining software vendors are emphasising the importance of making their solutions more accessible and user-friendly.
Advanced data analysis: As process mining software develops, companies offer more complex data analysis features. This is a response to businesses' growing desire for knowledge about how they operate internally.