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Global Process Analytics Market to reach USD 12.86 billion by the end of 2030.

Global Process Analytics Market Size study & Forecast, by Process Mining Type (Process discovery, Process conformance, Process enhancement), by Deployment Mode (On Premise, Cloud), by Organization Size (Large Enterprises, Small and Medium Enterprises), by Application (Business Process, Information Technology Process, Customer Interaction) and Regional Analysis, 2023-2030

Product Code: ICTNS-15521578
Publish Date: 20-07-2023
Page: 200

Global Process Analytics Market is valued approximately USD 0.67 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 44.6% over the forecast period 2023-2030. Process analysis refers to the systematic evaluation of business processes, such as budgeting or manufacturing, with the aim of assessing performance and pinpointing areas for enhancement. Additionally, it entails the analysis of data, although not all data analysis is specifically focused on evaluating processes. The demand for business process analytics is on the rise due to the increasing prevalence of digital transformation and intensified competition, which drives the need for better analysis and understanding of business processes. The growing utilization of algorithms to streamline the process analytics industry is a significant factor contributing to this trend. Moreover, the adoption of task-level automation is playing a positive role in fueling the growth of the process analytics sector.

Moreover, the rising adoption of cloud AI and business analytics tools has indeed supported the growth of the Process Analytics Market. According to the Statista in 2023, In the United States, across various sectors (excluding agriculture, forestry, fishery, and hunting), the percentage of AI-related job postings has risen from 1.7% in 2021 to 1.9% in 2022. This indicates a growing demand for workers with AI-related skills among US employers. Additionally, an analysis conducted by the AI Index reveals that the number of bills pertaining to “artificial intelligence” passed into law has increased from only 1 in 2016 to 37 in 2022, spanning 127 countries. Additionally, digital transformation business and the increasing adoption of algorithmic business approaches are the significant growth opportunities for the future of global process analytics market. However, increasing competition from open-source alternatives stifling market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Process Analytics Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the initial adoption of advanced process analytics technology in enterprises has led to improved technological effectiveness. Key players in countries like the US and Canada offer cloud-based solutions for fast and efficient operations, contributing to this advancement. Process analytics plays a crucial role in helping enterprises across the region become more technologically effective. Asia Pacific is expected to grow significantly during the forecast period, owing to a surge in the adoption of advanced strategic platforms that incorporate advanced process analytics, automation, and AI technologies such as natural language processing and machine learning. These platforms empower market leaders to think more expansively and precisely about a diverse range of future possibilities.

Major market player included in this report are:
Fluxicon BV
CA Technologies
Monkey Mining BV
Scheer Gmbh
Icaro Tech
Kofax Inc.
Worksoft, Inc.
Cognitive Technology
QPR Software
Recent Developments in the Market:
Ø In August 2021, Appian has recently acquired Lana Labs, the renowned developer of the LANA Process Mining Platform. Lana Labs is highly regarded for its proficiency in handling complex enterprise processes, offering robust AI- and machine learning-based process analysis, seamless data integration, and user-friendly interface. By leveraging Lana’s platform, customers can minimize the time spent on data consolidation and instead focus on identifying and addressing process inefficiencies.
Global Process Analytics Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Process Mining Type, Development Mode, Organization Size, Application, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Process Mining Type:
Process discovery
Process conformance
Process enhancement
By Deployment Mode:
On Premise
By Organization Size:
Large Enterprise
Small and Medium Enterprises
By Application:
Business Process
Information Technology Process
Customer Interaction

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Process Analytics Market, by Region, 2020-2030 (USD Billion)
1.2.2. Process Analytics Market, by Process Mining Type, 2020-2030 (USD Billion)
1.2.3. Process Analytics Market, by Deployment Mode, 2020-2030 (USD Billion)
1.2.4. Process Analytics Market, by Organization Size, 2020-2030 (USD Billion)
1.2.5. Process Analytics Market, by Application, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Process Analytics Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Process Analytics Market Dynamics
3.1. Process Analytics Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Increasing adoption of cloud AI, and business analytics tools Growing adoption of task-level automation
3.1.2. Market Challenges High Cost of Process Analytics Increasing competition from open-source alternatives
3.1.3. Market Opportunities Advancements digital transformation business Increasing adoption of algorithmic business approaches
Chapter 4. Global Process Analytics Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Process Analytics Market, by Process Mining Type
5.1. Market Snapshot
5.2. Global Process Analytics Market by Process Mining Type, Performance – Potential Analysis
5.3. Global Process Analytics Market Estimates & Forecasts by Process Mining Type 2020-2030 (USD Billion)
5.4. Process Analytics Market, Sub Segment Analysis
5.4.1. Process discovery
5.4.2. Process conformance
5.4.3. Process enhancement
Chapter 6. Global Process Analytics Market, by Deployment Mode
6.1. Market Snapshot
6.2. Global Process Analytics Market by Deployment Mode, Performance – Potential Analysis
6.3. Global Process Analytics Market Estimates & Forecasts by Deployment Mode 2020-2030 (USD Billion)
6.4. Process Analytics Market, Sub Segment Analysis
6.4.1. On Premise
6.4.2. Cloud
Chapter 7. Global Process Analytics Market, by Organization Size
7.1. Market Snapshot
7.2. Global Process Analytics Market by Organization Size, Performance – Potential Analysis
7.3. Global Process Analytics Market Estimates & Forecasts by Organization Size 2020-2030 (USD Billion)
7.4. Process Analytics Market, Sub Segment Analysis
7.4.1. Large Enterprise
7.4.2. Small and Medium Enterprises
Chapter 8. Global Process Analytics Market, by Application
8.1. Market Snapshot
8.2. Global Process Analytics Market by Application, Performance – Potential Analysis
8.3. Global Process Analytics Market Estimates & Forecasts by Application 2020-2030 (USD Billion)
8.4. Process Analytics Market, Sub Segment Analysis
8.4.1. Business Process
8.4.2. Information Technology Process
8.4.3. Customer Interaction
Chapter 9. Global Process Analytics Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Process Analytics Market, Regional Market Snapshot
9.4. North America Process Analytics Market
9.4.1. U.S. Process Analytics Market Process Mining Type breakdown estimates & forecasts, 2020-2030 Deployment Mode breakdown estimates & forecasts, 2020-2030 Organization Size breakdown estimates & forecasts, 2020-2030 Application breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Process Analytics Market
9.5. Europe Process Analytics Market Snapshot
9.5.1. U.K. Process Analytics Market
9.5.2. Germany Process Analytics Market
9.5.3. France Process Analytics Market
9.5.4. Spain Process Analytics Market
9.5.5. Italy Process Analytics Market
9.5.6. Rest of Europe Process Analytics Market
9.6. Asia-Pacific Process Analytics Market Snapshot
9.6.1. China Process Analytics Market
9.6.2. India Process Analytics Market
9.6.3. Japan Process Analytics Market
9.6.4. Australia Process Analytics Market
9.6.5. South Korea Process Analytics Market
9.6.6. Rest of Asia Pacific Process Analytics Market
9.7. Latin America Process Analytics Market Snapshot
9.7.1. Brazil Process Analytics Market
9.7.2. Mexico Process Analytics Market
9.8. Middle East & Africa Process Analytics Market
9.8.1. Saudi Arabia Process Analytics Market
9.8.2. South Africa Process Analytics Market
9.8.3. Rest of Middle East & Africa Process Analytics Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. Fluxicon BV Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.3.2. CA Technologies
10.3.3. Monkey Mining BV
10.3.4. Scheer Gmbh
10.3.5. Logpickr
10.3.6. Icaro Tech
10.3.7. Kofax Inc.
10.3.8. Worksoft, Inc.
10.3.9. Cognitive Technology
10.3.10. QPR Software
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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