Global Process Mining Market
Tamanho do mercado em biliões de dólares
CAGR :
% 
USD
324.00 Million
USD
6,436.80 Million
2023
2031
 Período de previsão |
2024 –2031 |
 Tamanho do mercado (ano base ) | USD 324.00 Million |
 Tamanho do mercado ( Ano de previsão) | USD 6,436.80 Million |
 CAGR |
% |
| Principais participantes do mercado |
|
Global Process Mining Market, By Offering (Software (Process Discovery Tools, Conformance Checking Tools), Services), Mining Algorithm (Deep Learning, Sequence Analysis), Data Source (ERP Systems, CRM Systems) - Industry Trends and Forecast to 2031.
Process Mining Market Analysis and Size
The process mining market can be defined as the collective ecosystem of software, services, and solutions designed to analyze, monitor, and optimize business processes within organizations. Process mining involves the extraction, visualization, and analysis of data from event logs to provide insights into how processes are executed. The primary goal is to enhance operational efficiency, identify bottlenecks, improve compliance, and drive continuous process improvement.
Data Bridge Market Research analyses that the global process mining market which was USD 324.00 million in 2023, is expected to reach USD 6,436.8 million by 2031, and is expected to undergo a CAGR of 45.30% during the forecast period of 2024- 2031. Type segment is expected to dominate due to its features and availability that determines its requirement in different industries. In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include in-depth expert analysis, geographically represented company-wise production and capacity, network layouts of distributors and partners, detailed and updated price trend analysis and deficit analysis of supply chain and demand.
Report Scope and Market Segmentation
|
Report Metric |
Details |
|
Forecast Period |
2024- 2031 |
|
Base Year |
2023 |
|
Historic Years |
2022 (Customizable to 2016-2021) |
|
Quantitative Units |
Revenue in USD Million, Pricing in U.S.D |
|
Segments Covered |
By Offering (Software (Process Discovery Tools, Conformance Checking Tools), Services), Mining Algorithm (Deep Learning, Sequence Analysis), Data Source (ERP Systems, CRM Systems) |
|
Countries Covered |
U.S., Canada, Mexico, Germany, Italy, U.K., France, Spain, Netherland, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Brazil, Argentina, Rest of South America, South Africa, Saudi Arabia, U.A.E., Egypt, Israel, Rest of Middle East & Africa |
|
Market Players Covered |
Celonis (Germany), Software AG (Germany), Minit (Slovakia), QPR ProcessAnalyzer (Finland), Signavio (Germany), OpsOne (Japan), Datapolis (Hungary), Disco (Netherlands), Fujitsu (Japan), Icaro (Brazil), Kofax (U.S.) |
|
Market Opportunities |
|
Market Definition
Process mining is a field of business process management that focuses on analyzing and improving business processes based on event logs. Event logs are generated by information systems as a result of the execution of various processes within an organization. Process mining leverages these event logs to provide insights into how processes are actually executed, rather than how they were intended to be executed.
Global Process Mining Market Dynamics
Drivers
- Increase operational efficiency
Organizations are continually seeking ways to optimize their processes to reduce costs and improve efficiency. Process mining provides insights into how processes are executed, helping identify bottlenecks and areas for improvement. This can be a major driver in the market.
- Digital transformation
The ongoing digital transformation journey of many businesses involves the integration of advanced technologies. Process mining plays a crucial role in this transformation by offering visibility into digital processes, helping organizations make data-driven decisions.
Opportunities
- Compliance and risk management
Compliance with regulations and risk management are critical for businesses, especially in industries such as finance and healthcare. Process mining helps organizations ensure compliance by providing a detailed understanding of how processes adhere to regulatory requirements.
- Customer experience improvement
Understanding and optimizing internal processes can have a direct impact on customer experience. Process mining helps identify areas where improvements can be made to enhance customer satisfaction, which can create opportunities in the market.
Restraints/Challenges
- Technological data privacy concerns
The analysis of detailed process data may raise privacy concerns, especially as it involves tracking and analyzing individual actions within an organization. Ensuring compliance with data protection regulations, such as GDPR, can be a significant challenge.
- Integration complexity
Implementing process mining solutions can be challenging due to the need for integration with existing systems and technologies within an organization. Legacy systems or a diverse IT landscape may pose integration challenges.
This process mining market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the process mining market, contact data bridge market research for an analyst brief, our team will help you take an informed market decision to achieve market growth.
Impact and Current Market Scenario of Raw Material Shortage and Shipping Delays
Data Bridge Market Research offers a high-level analysis of the market and delivers information by keeping in account the impact and current market environment of raw material shortage and shipping delays. This translates into assessing strategic possibilities, creating effective action plans, and assisting businesses in making important decisions.
Apart from the standard report, we also offer in-depth analysis of the procurement level from forecasted shipping delays, distributor mapping by region, commodity analysis, production analysis, price mapping trends, sourcing, category performance analysis, supply chain risk management solutions, advanced benchmarking, and other services for procurement and strategic support.
Expected Impact of Economic Slowdown on the Pricing and Availability of Products
When economic activity slows, industries begin to suffer. The forecasted effects of the economic downturn on the pricing and accessibility of the products are taken into account in the market insight reports and intelligence services provided by DBMR. With this, our clients can typically keep one step ahead of their competitors, project their sales and revenue, and estimate their profit and loss expenditures
Recent Developments
- In In July 2023, Microsoft announced the launch of Power Automate Process Mining, infused with next-generation Al which enables organizations to easily understand what is happening across their business, maximize process insights, use out-of-box recommendations to reduce the complexity of processes, transform operations, and drive continuous process improve
- ment with automation and low-code apps
- In May 2023, Pegasystems announced the launch of Pega Process Mining, which will make it easier for Pega users of all skill fix process inefficiencies hindering their business operations
- In May 2023, QPR Software announced a brand-new partnership with Paris-based Solution BI, known for their customer- end-to-end business intelligence solutions
Global Process Mining Market Scope
The process mining market is segmented on the basis of by offering, mining algorithm and data source. The growth amongst these segments will help you analyse meagre growth segments in the industries and provide the Users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Offering
- Software
- Services
Mining Algorithm
- Deep Learning
- Sequence Analysis
Data Source
- ERP Systems
- CRM Systems
Global Process Mining Market Regional Analysis/Insights
The process mining market is analyzed and market size insights and trends are provided by country, offering, mining algorithm and data source as referenced above.
The countries covered in the market report are U.S., Canada, Mexico, Brazil, Argentina, rest of South America, Germany, France, Italy, U.K., Belgium, Spain, Russia, Turkey, Netherlands, Switzerland, rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, rest of Asia-Pacific, U.A.E., Saudi Arabia, Egypt, South Africa, Israel, and rest of Middle East and Africa.
North America is expected to dominate the market because of its advanced technological infrastructure and high adoption of smart city initiatives, strong presence of major players in the market and rising number of research activities in this region.
Asia-Pacific is expected to witness significant growth during the forecast period due to rapid urbanization, increasing infrastructure development, and the adoption of advanced technologies in countries such as China, Japan, and India. In addition, the region's expanding automotive and consumer electronics industries contribute to the growing demand for infrared biometrics solutions. Furthermore, favourable government initiatives and investments in smart city projects further drive the market growth in the Asia-Pacific region.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Global Process Mining Market Share Analysis
The process mining market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the company’s focus related to process mining market.
Some of the major players operating in the process mining market are:
- Celonis (Germany)
- Software AG (Germany)
- Minit (Slovakia)
- QPR ProcessAnalyzer (Finland)
- Signavio (Germany)
- OpsOne (Japan)
- Datapolis (Hungary)
- Disco (Netherlands)
- Fujitsu (Japan)
- Icaro (Brazil)
- Kofax (U.S.)
SKU-
Obtenha acesso online ao relatório sobre a primeira nuvem de inteligência de mercado do mundo
- Painel interativo de análise de dados
- Painel de análise da empresa para oportunidades de elevado potencial de crescimento
- Acesso de analista de pesquisa para personalização e customização. consultas
- Análise da concorrência com painel interativo
- Últimas notícias, atualizações e atualizações Análise de tendências
- Aproveite o poder da análise de benchmark para um rastreio abrangente da concorrência
Índice
1. INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF GLOBAL PROCESS MINING MARKET
1.4 CURRENCY AND PRICING
1.5 LIMITATION
1.6 MARKETS COVERED
2. MARKET SEGMENTATION
2.1 KEY TAKEAWAYS
2.2 ARRIVING AT THE GLOBAL PROCESS MINING MARKET
2.2.1 VENDOR POSITIONING GRID
2.2.2 TECHNOLOGY LIFE LINE CURVE
2.2.3 MARKET GUIDE
2.2.4 COMPANY POSITIONING GRID
2.2.5 COMAPANY MARKET SHARE ANALYSIS
2.2.6 MULTIVARIATE MODELLING
2.2.7 TOP TO BOTTOM ANALYSIS
2.2.8 STANDARDS OF MEASUREMENT
2.2.9 VENDOR SHARE ANALYSIS
2.2.10 DATA POINTS FROM KEY PRIMARY INTERVIEWS
2.2.11 DATA POINTS FROM KEY SECONDARY DATABASES
2.3 GLOBAL PROCESS MINING MARKET: RESEARCH SNAPSHOT
2.4 ASSUMPTIONS
3. MARKET OVERVIEW
3.1 DRIVERS
3.2 RESTRAINTS
3.3 OPPORTUNITIES
3.4 CHALLENGES
4. EXECUTIVE SUMMARY
5. PREMIUM INSIGHTS
5.1 PORTER’S FIVE FORCES ANALYSIS
5.2 REGULATORY STANDARDS
5.3 INDUSTRY ANALYSIS & FUTURISTIC SCENARIO
5.4 PENETRATION AND GROWTH POSPECT MAPPING
5.5 NEW BUSINESS AND EMERGING BUSINESS'S REVENUE OPPORTUNITIES
5.6 TECHNOLOGY ANALYSIS
5.6.1 KEY TECHNOLOGIES
5.6.2 COMPLEMENTARY TECHNOLOGIES
5.6.3 ADJACENT TECHNOLOGIES
5.7 TECHNOLOGY MATRIX
5.8 CHALLENGES
5.9 INHOUSE IMPLEMENTATION/OUTSOURCED (THIRD PARTY) IMPLEMENTATION
5.9.1 CUSTOMER BASE
5.9.2 SERVICE POSITIONING
5.9.3 CUSTOMER FEEDBACK/RATING (B2B OR B2C)
5.9.4 APPLICATION REACH
5.9.5 SERVICE PLATFORM MATRIX
5.10 COMPANY COMPARATIVE ANALYSIS
5.11 COMPANY SERVICE PLATFORM MATRIX
5.12 USED CASES & ITS ANALYSIS
5.13 PRICING ANALYSIS BASED ON SALES, MARKETING & CUSTOMER SERVICE
6. GLOBAL PROCESS MINING MARKET, BY OFFERING
6.1 OVERVIEW
6.2 SOFTWARE
6.2.1 PROCESS DISCOVERY
6.2.1.1. EVENT LOG-BASED DISCOVERY
6.2.1.1.1. AUTOMATED DISCOVERY
6.2.1.1.2. INTERACTIVE DISCOVERY
6.2.1.1.3. LOG FILTERING & PREPROCESSING
6.2.1.2. PROCESS MAP-BASED DISCOVERY
6.2.1.2.1. FLOWCHART GENERATION
6.2.1.2.2. PROCESS MAP VISUALIZATION
6.2.2 CONFORMANCE CHECKING
6.2.2.1. MODEL-CHECKING CONFORMANCE
6.2.2.1.1. DIRECT MODEL COMPARISON
6.2.2.1.2. STATISTICAL MODEL CHECKING
6.2.2.1.3. AUTOMATED RULE-BASED CONFORMANCE
6.2.2.2. LOG-BASED CONFORMANCE
6.2.2.2.1. DEVIATION DETECTION
6.2.2.2.2. ANOMALY DETECTION
6.2.2.2.3. ROOT CAUSE ANALYSIS
6.2.3 PROCESS ENHANCEMENT & SIMULATION
6.2.3.1. SIMULATION & OPTIMIZATION
6.2.3.2. PROCESS ENHANCEMENT & AUTOMATION
6.2.4 PERFORMANCE ANALYSIS
6.2.4.1. PERFORMANCE METRICS
6.2.4.1.1. TIME DIMENSION
6.2.4.1.2. COST DIMENSION
6.2.4.1.3. QUALITY DIMENSION
6.2.4.1.4. KEY PERFORMANCE INDICATOR (KPI)
6.2.4.1.5. BOTTLENECK IDENTIFICATION
6.2.5 VISUALIZATION
6.2.5.1. PROCESS VISUALIZATION
6.2.5.1.1. INTERACTIVE PROCESS MAPS
6.2.5.1.2. PROCESS FLOWCHARTS
6.2.5.1.3. HEATMAPS & SANKEY DIAGRAMS
6.2.5.2. DATA VISUALIZATION
6.2.5.2.1. DATA DASHBOARDS
6.2.5.2.2. CUSTOM DATA VISUALIZATIONS
6.2.5.2.3. DATA EXPLORATION TOOLS
6.2.6 CONTINUOUS MONITORING & ANALYTICS
6.2.6.1. REAL-TIME MONITORING
6.2.6.2. HISTORICAL ANALYTICS
6.2.6.3. PREDICTIVE ANALYTICS
6.2.7 INTEGRATION & COLLABORATION
6.2.8 OTHERS
6.3 SERVICES
6.3.1 PROFESSIONAL SERVICES
6.3.1.1. SYSTEM INTEGRATION & IMPLEMENTATION SERVICES
6.3.1.2. SUPPORT & MAINTENANCE SERVICES
6.3.1.3. TRAINING & CONSULTING SERVICES
6.3.2 MANAGED SERVICES
7. GLOBAL PROCESS MINING MARKET, BY TYPE
7.1 OVERVIEW
7.2 PROCESS DISCOVERY
7.3 CONFORMANCE CHECKING
7.4 PROCESS REENGINEERING
7.5 OPREATIONAL SUPPORT
8. GLOBAL PROCESS MINING MARKET, BY DEPLOYMENT TYPE
8.1 OVERVIEW
8.2 ON-PREMISE
8.3 CLOUD
9. GLOBAL PROCESS MINING MARKET, BY ORGANIZATION SIZE
9.1 OVERVIEW
9.2 SMES
9.3 LARGE ENTERPRISES
10. GLOBAL PROCESS MINING MARKET, BY DATA SOURCE
10.1 OVERVIEW
10.2 ENTERPRISE RESOURCE PLANNING (ERP)
10.2.1 FINANCIAL ERP DATA
10.2.2 INVENTORY ERP DATA
10.2.3 PROCUREMENT ERP DATA
10.3 CUSTOMER RELATIONSHIP MANAGEMENT (CRM)
10.3.1 SALES CRM DATA
10.3.2 MARKETING CRM DATA
10.3.3 CUSTOMER SUPPORT CRM DATA
10.4 IOT DEVICES & SENSORS
10.5 APPLICATION LOGS
10.6 TRANSACTIONAL DATABASES
10.7 EXTERNAL DATA SOURCES
10.8 OTHERS
11. GLOBAL PROCESS MINING MARKET, BY MINING ALGORITHMS
11.1 OVERVIEW
11.2 DEEP LEARNING ALGORITHMS
11.3 SEQUENCE ANALYSIS
11.4 ALPHA-ALGORITHM
11.5 HEURISTIC-MINING ALGORITHM
11.6 GENETIC-PROCESS-MINING ALGORITHM
11.7 FUZZY MINER
11.8 INDUCTIVE MINER
11.9 OTHER
12. GLOBAL PROCESS MINING MARKET, BY APPLICATION
12.1 OVERVIEW
12.2 BUSINESS PROCESS MANAGEMENT
12.3 FRAUD DETECTION AND RISK MANAGEMENT
12.4 CUSTOMER EXPERIENCE MANAGEMENT
12.5 OTHERS
13. GLOBAL PROCESS MINING MARKET, BY VERTICAL
13.1 OVERVIEW
13.2 BFSI
13.2.1 LOAN ORIGINATION & UNDERWRITING
13.2.1.1. CREDIT RISK ASSESSMENT
13.2.1.2. MORTGAGE APPROVAL PROCESS
13.2.1.3. LOAN DOCUMENT VERIFICATION
13.2.2 FRAUD DETECTION & PREVENTION
13.2.2.1. TRANSACTION FRAUD ANALYSIS
13.2.2.2. IDENTITY THEFT DETECTION
13.2.2.3. ANTI-MONEY LAUNDERING (AML)
13.2.3 CUSTOMER ONBOARDING & KYC
13.2.3.1. CUSTOMER DUE DILIGENCE
13.2.3.2. KYC PROCESS EFFICIENCY
13.2.3.3. COMPLIANCE MONITORING
13.2.4 CLAIMS PROCESSING
13.2.4.1. INSURANCE CLAIMS VERIFICATION
13.2.4.2. CLAIMS SETTLEMENT EFFICIENCY
13.2.4.3. FRAUDULENT CLAIMS DETECTION
13.2.5 OTHERS
13.3 MANUFACTURING
13.3.1 PRODUCTION OPTIMIZATION
13.3.1.1. PRODUCTION LINE EFFICIENCY
13.3.1.2. WORKFORCE PRODUCTIVITY
13.3.1.3. EQUIPMENT UTILIZATION
13.3.2 QUALITY CONTROL & ASSURANCE
13.3.2.1. DEFECT DETECTION & PREVENTION
13.3.2.2. COMPLIANCE MONITORING
13.3.2.3. ROOT CAUSE ANALYSIS
13.3.3 SUPPLY CHAIN MANAGEMENT
13.3.3.1. INVENTORY OPTIMIZATION
13.3.3.2. SUPPLIER PERFORMANCE ANALYSIS
13.3.3.3. DEMAND FORECASTING & PLANNING
13.3.4 MAINTENANCE & RELIABILITY
13.3.4.1. PREDICTIVE MAINTENANCE
13.3.4.2. ASSET UTILIZATION ANALYSIS
13.3.4.3. DOWNTIME REDUCTION
13.3.5 OTHERS
13.4 IT & ITES
13.4.1 SOFTWARE DEVELOPMENT LIFECYCLE (SDLC) ANALYSIS
13.4.1.1. CODE REVIEW & OPTIMIZATION
13.4.1.2. BUG & ISSUE TRACKING
13.4.1.3. RELEASE CYCLE EFFICIENCY
13.4.2 IT HELP DESK & SUPPORT
13.4.2.1. TICKET RESOLUTION TIME ANALYSIS
13.4.2.2. INCIDENT TRENDS & PATTERNS
13.4.2.3. SERVICE LEVEL AGREEMENT (SLA) COMPLIANCE
13.4.3 IT INFRASTRUCTURE MANAGEMENT
13.4.3.1. NETWORK PERFORMANCE MONITORING
13.4.3.2. SERVER RESOURCE UTILIZATION
13.4.3.3. IT ASSET INVENTORY
13.4.4 CYBERSECURITY & THREAT DETECTION
13.4.4.1. INTRUSION DETECTION & RESPONSE
13.4.4.2. SECURITY INCIDENT ANALYSIS
13.4.4.3. COMPLIANCE WITH SECURITY POLICIES
13.4.5 OTHERS
13.5 HEALTHCARE & LIFE SCIENCES
13.5.1 PATIENT CARE & HOSPITAL MANAGEMENT
13.5.1.1. PATIENT JOURNEY ANALYSIS
13.5.1.2. RESOURCE ALLOCATION OPTIMIZATION
13.5.1.3. BILLING & CLAIMS PROCESSING
13.5.2 CLINICAL TRIALS OPTIMIZATION
13.5.2.1. TRIAL ENROLLMENT EFFICIENCY
13.5.2.2. ADVERSE EVENT ANALYSIS
13.5.2.3. DRUG DEVELOPMENT TIMELINES
13.5.3 ELECTRONIC HEALTH RECORDS (EHR) ANALYSIS
13.5.3.1. EHR DATA ACCURACY
13.5.3.2. REGULATORY COMPLIANCE
13.5.3.3. PATIENT OUTCOME IMPROVEMENT
13.5.4 SUPPLY CHAIN & PHARMACEUTICAL MANUFACTURING
13.5.4.1. PHARMACEUTICAL PRODUCTION OPTIMIZATION
13.5.4.2. DRUG TRACEABILITY
13.5.4.3. INVENTORY MANAGEMENT
13.5.5 OTHERS
13.6 RETAIL & E-COMMERCE
13.6.1 CUSTOMER EXPERIENCE ENHANCEMENT
13.6.1.1. CUSTOMER JOURNEY MAPPING
13.6.1.2. PERSONALIZATION & RECOMMENDATIONS
13.6.1.3. CART ABANDONMENT ANALYSIS
13.6.2 INVENTORY & STOCK MANAGEMENT
13.6.2.1. STOCK-LEVEL OPTIMIZATION
13.6.2.2. STOCK DEMAND FORECASTING
13.6.2.3. SHELF SPACE OPTIMIZATION
13.6.3 ORDER FULFILLMENT & LOGISTICS
13.6.3.1. ORDER PROCESSING EFFICIENCY
13.6.3.2. DELIVERY TIME OPTIMIZATION
13.6.3.3. RETURNS MANAGEMENT
13.6.4 PRICING & PROMOTION STRATEGY
13.6.4.1. DYNAMIC PRICING ANALYSIS
13.6.4.2. PROMOTION EFFECTIVENESS
13.6.4.3. PROFIT MARGIN OPTIMIZATION
13.6.5 OTHERS
13.7 OTHERS
14. GLOBAL PROCESS MINING MARKET, BY GEOGRAPHY
GLOBAL PROCESS MINING MARKET, (ALL SEGMENTATION PROVIDED ABOVE IS REPRESENTED IN THIS CHAPTER BY COUNTRY)
14.1 NORTH AMERICA
14.1.1 U.S.
14.1.2 CANADA
14.1.3 MEXICO
14.2 EUROPE
14.2.1 GERMANY
14.2.2 FRANCE
14.2.3 U.K.
14.2.4 ITALY
14.2.5 SPAIN
14.2.6 RUSSIA
14.2.7 TURKEY
14.2.8 BELGIUM
14.2.9 NETHERLANDS
14.2.10 NORWAY
14.2.11 FINLAND
14.2.12 SWITZERLAND
14.2.13 DENMARK
14.2.14 SWEDEN
14.2.15 POLAND
14.2.16 REST OF EUROPE
14.3 ASIA PACIFIC
14.3.1 JAPAN
14.3.2 CHINA
14.3.3 SOUTH KOREA
14.3.4 INDIA
14.3.5 AUSTRALIA
14.3.6 NEW ZEALAND
14.3.7 SINGAPORE
14.3.8 THAILAND
14.3.9 MALAYSIA
14.3.10 INDONESIA
14.3.11 PHILIPPINES
14.3.12 TAIWAN
14.3.13 VIETNAM
14.3.14 REST OF ASIA PACIFIC
14.4 SOUTH AMERICA
14.4.1 BRAZIL
14.4.2 ARGENTINA
14.4.3 REST OF SOUTH AMERICA
14.5 MIDDLE EAST AND AFRICA
14.5.1 SOUTH AFRICA
14.5.2 EGYPT
14.5.3 SAUDI ARABIA
14.5.4 U.A.E
14.5.5 OMAN
14.5.6 BAHRAIN
14.5.7 ISRAEL
14.5.8 KUWAIT
14.5.9 QATAR
14.5.10 REST OF MIDDLE EAST AND AFRICA
15. GLOBAL PROCESS MINING MARKET,COMPANY LANDSCAPE
15.1 COMPANY SHARE ANALYSIS: GLOBAL
15.2 COMPANY SHARE ANALYSIS: NORTH AMERICA
15.3 COMPANY SHARE ANALYSIS: EUROPE
15.4 COMPANY SHARE ANALYSIS: ASIA PACIFIC
15.5 MERGERS & ACQUISITIONS
15.6 NEW PRODUCT DEVELOPMENT AND APPROVALS
15.7 EXPANSIONS
15.8 REGULATORY CHANGES
15.9 PARTNERSHIP AND OTHER STRATEGIC DEVELOPMENTS
16. GLOBAL PROCESS MINING MARKET, SWOT & DBMR ANALYSIS
17. GLOBAL PROCESS MINING MARKET, COMPANY PROFILE
17.1 INTERNATIONAL BUSINESS MACHINES CORP.,
17.1.1 COMPANY SNAPSHOT
17.1.2 REVENUE ANALYSIS
17.1.3 PRODUCT PORTFOLIO
17.1.4 RECENT DEVELOPMENT
17.2 MICROSOFT
17.2.1 COMPANY SNAPSHOT
17.2.2 REVENUE ANALYSIS
17.2.3 PRODUCT PORTFOLIO
17.2.4 RECENT DEVELOPMENT
17.3 CELONIS
17.3.1 COMPANY SNAPSHOT
17.3.2 REVENUE ANALYSIS
17.3.3 PRODUCT PORTFOLIO
17.3.4 RECENT DEVELOPMENT
17.4 SOFTWARE GMBH
17.4.1 COMPANY SNAPSHOT
17.4.2 REVENUE ANALYSIS
17.4.3 PRODUCT PORTFOLIO
17.4.4 RECENT DEVELOPMENT
17.5 AMAZON WEB SERVICES, INC.
17.5.1 COMPANY SNAPSHOT
17.5.2 REVENUE ANALYSIS
17.5.3 PRODUCT PORTFOLIO
17.5.4 RECENT DEVELOPMENT
17.6 QPR SOFTWARE.
17.6.1 COMPANY SNAPSHOT
17.6.2 REVENUE ANALYSIS
17.6.3 PRODUCT PORTFOLIO
17.6.4 RECENT DEVELOPMENT
17.7 SAP SIGNAVIO
17.7.1 COMPANY SNAPSHOT
17.7.2 REVENUE ANALYSIS
17.7.3 PRODUCT PORTFOLIO
17.7.4 RECENT DEVELOPMENT
17.8 DISCO(FLUXICON BV)
17.8.1 COMPANY SNAPSHOT
17.8.2 REVENUE ANALYSIS
17.8.3 PRODUCT PORTFOLIO
17.8.4 RECENT DEVELOPMENT
17.9 FUJITSU
17.9.1 COMPANY SNAPSHOT
17.9.2 REVENUE ANALYSIS
17.9.3 PRODUCT PORTFOLIO
17.9.4 RECENT DEVELOPMENT
17.10 ICARO
17.10.1 COMPANY SNAPSHOT
17.10.2 REVENUE ANALYSIS
17.10.3 PRODUCT PORTFOLIO
17.10.4 RECENT DEVELOPMENT
17.11 ABBYY
17.11.1 COMPANY SNAPSHOT
17.11.2 REVENUE ANALYSIS
17.11.3 PRODUCT PORTFOLIO
17.11.4 RECENT DEVELOPMENT
17.12 UIPATH
17.12.1 COMPANY SNAPSHOT
17.12.2 REVENUE ANALYSIS
17.12.3 PRODUCT PORTFOLIO
17.12.4 RECENT DEVELOPMENT
17.13 APPIAN CORPORATION
17.13.1 COMPANY SNAPSHOT
17.13.2 REVENUE ANALYSIS
17.13.3 PRODUCT PORTFOLIO
17.13.4 RECENT DEVELOPMENT
17.14 PEGASYSTEMS INC.
17.14.1 COMPANY SNAPSHOT
17.14.2 REVENUE ANALYSIS
17.14.3 PRODUCT PORTFOLIO
17.14.4 RECENT DEVELOPMENT
17.15 MEHRWERK GMBH
17.15.1 COMPANY SNAPSHOT
17.15.2 REVENUE ANALYSIS
17.15.3 PRODUCT PORTFOLIO
17.15.4 RECENT DEVELOPMENT
17.16 SOROCO
17.16.1 COMPANY SNAPSHOT
17.16.2 REVENUE ANALYSIS
17.16.3 PRODUCT PORTFOLIO
17.16.4 RECENT DEVELOPMENT
17.17 IGRAFX, LLC.
17.17.1 COMPANY SNAPSHOT
17.17.2 REVENUE ANALYSIS
17.17.3 PRODUCT PORTFOLIO
17.17.4 RECENT DEVELOPMENT
17.18 NINTEX UK LTD
17.18.1 COMPANY SNAPSHOT
17.18.2 REVENUE ANALYSIS
17.18.3 PRODUCT PORTFOLIO
17.18.4 RECENT DEVELOPMENT
17.19 AUTOMATION ANYWHERE, INC.
17.19.1 COMPANY SNAPSHOT
17.19.2 REVENUE ANALYSIS
17.19.3 PRODUCT PORTFOLIO
17.19.4 RECENT DEVELOPMENT
17.20 HYLAND SOFTWARE, INC
17.20.1 COMPANY SNAPSHOT
17.20.2 REVENUE ANALYSIS
17.20.3 PRODUCT PORTFOLIO
17.20.4 RECENT DEVELOPMENT
17.21 BUSINESSOPTIX
17.21.1 COMPANY SNAPSHOT
17.21.2 REVENUE ANALYSIS
17.21.3 PRODUCT PORTFOLIO
17.21.4 RECENT DEVELOPMENT
17.22 STEREOLOGIC INC.
17.22.1 COMPANY SNAPSHOT
17.22.2 REVENUE ANALYSIS
17.22.3 PRODUCT PORTFOLIO
17.22.4 RECENT DEVELOPMENT
17.23 APROMORE PTY LTD
17.23.1 COMPANY SNAPSHOT
17.23.2 REVENUE ANALYSIS
17.23.3 PRODUCT PORTFOLIO
17.23.4 RECENT DEVELOPMENT
17.24 WORKSOFT
17.24.1 COMPANY SNAPSHOT
17.24.2 REVENUE ANALYSIS
17.24.3 PRODUCT PORTFOLIO
17.24.4 RECENT DEVELOPMENT
17.25 INVERBIS ANALYTICS
17.25.1 COMPANY SNAPSHOT
17.25.2 REVENUE ANALYSIS
17.25.3 PRODUCT PORTFOLIO
17.25.4 RECENT DEVELOPMENT
18. CONCLUSION
19. QUESTIONNAIRE
20. RELATED REPORTS
21. ABOUT DATA BRIDGE MARKET RESEARCH
Metodologia de Investigação
A recolha de dados e a análise do ano base são feitas através de módulos de recolha de dados com amostras grandes. A etapa inclui a obtenção de informações de mercado ou dados relacionados através de diversas fontes e estratégias. Inclui examinar e planear antecipadamente todos os dados adquiridos no passado. Da mesma forma, envolve o exame de inconsistências de informação observadas em diferentes fontes de informação. Os dados de mercado são analisados e estimados utilizando modelos estatísticos e coerentes de mercado. Além disso, a análise da quota de mercado e a análise das principais tendências são os principais fatores de sucesso no relatório de mercado. Para saber mais, solicite uma chamada de analista ou abra a sua consulta.
A principal metodologia de investigação utilizada pela equipa de investigação do DBMR é a triangulação de dados que envolve a mineração de dados, a análise do impacto das variáveis de dados no mercado e a validação primária (especialista do setor). Os modelos de dados incluem grelha de posicionamento de fornecedores, análise da linha de tempo do mercado, visão geral e guia de mercado, grelha de posicionamento da empresa, análise de patentes, análise de preços, análise da quota de mercado da empresa, normas de medição, análise global versus regional e de participação dos fornecedores. Para saber mais sobre a metodologia de investigação, faça uma consulta para falar com os nossos especialistas do setor.
Personalização disponível
A Data Bridge Market Research é líder em investigação formativa avançada. Orgulhamo-nos de servir os nossos clientes novos e existentes com dados e análises que correspondem e atendem aos seus objetivos. O relatório pode ser personalizado para incluir análise de tendências de preços de marcas-alvo, compreensão do mercado para países adicionais (solicite a lista de países), dados de resultados de ensaios clínicos, revisão de literatura, mercado remodelado e análise de base de produtos . A análise de mercado dos concorrentes-alvo pode ser analisada desde análises baseadas em tecnologia até estratégias de carteira de mercado. Podemos adicionar quantos concorrentes necessitar de dados no formato e estilo de dados que procura. A nossa equipa de analistas também pode fornecer dados em tabelas dinâmicas de ficheiros Excel em bruto (livro de factos) ou pode ajudá-lo a criar apresentações a partir dos conjuntos de dados disponíveis no relatório.
