Global Multi-channel Analytics Market
Global Multi-channel Analytics Market

Multi-channel Analytics Comprehensive Study by Application (Customer Retention & Acquisition, Cross-Selling & Up-Selling, Loyalty & Customer Experience Management, Campaign Management, Sales Performance Management, Others), Deployment Mode (On-premise, Cloud), Organization Size (SMB, Large enterprises), Component (Solutions (Query & Reporting, Multidimensional Analysis, Visualization, Data Mining & Predictive Analytics, Others), Service (Professional service, Support, and maintenance service)), Verticals (Retail and consumer goods, Banking, Financial Services, and Insurance (BFSI), Government, Travel and tourism, Media and entertainment, Healthcare, Telecommunication and IT, Others)

Multi-channel Analytics Market Segmented into XX Submarkets. | Forecast Years: 2020- 2025  

Aug 2020 Edition 211 Pages 214 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Multi-channel Analytics Market Definition
The rising adoption of analytical solutions to understand customer behavior will help to boost the global Multichannel Analytics market. Multi-channel analytics is a process used by business organizations in which they collect data from multiple sources or channels and then link the data together to perform analysis. Multichannel analytics helps the business organizations to strategize their spending by calculating the expected revenues and return on investments.

The market study is broken down, by Application (Customer Retention & Acquisition, Cross-Selling & Up-Selling, Loyalty & Customer Experience Management, Campaign Management, Sales Performance Management and Others) and major geographies with country level splits.

The players in this market find potential growth opportunities by providing single packaged solutions that can be used for several analytical applications. The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches, and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Multi-channel Analytics market throughout the predicted period.

Adobe Systems (United States), HP Autonomy (United Kingdom), Google Inc.(United States), IBM (United States), Ijento (New York), SAP (Germany), Oracle (United States), Teradata Corporation (United States) and SAS Institute, Inc. (United States) are some of the key players that are part of study coverage.

Segmentation Overview
AdvanceMarketAnalytics has segmented the market of Global Multi-channel Analytics market by Type, Application and Region.

On the basis of geography, the market of Multi-channel Analytics has been segmented into . North America region held largest market share in the year 2019. Europe on the other hand stood as second largest market due to the presence of key companies into the region and high technological advancement. If we see Market by Deployment Mode, the sub-segment i.e. On-premise will boost the Multi-channel Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Organization Size, the sub-segment i.e. SMB will boost the Multi-channel Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component, the sub-segment i.e. Solutions [Query & Reporting, Multidimensional Analysis, Visualization, Data Mining & Predictive Analytics, Others] will boost the Multi-channel Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Verticals, the sub-segment i.e. Retail and consumer goods will boost the Multi-channel Analytics market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.




Market Trend
  • Increasing online shopping trends owing to widespread internet connectivity
  • Fueling multichannel buyers may expand the scope of B2C and B2B marketing

Market Drivers
  • Upsurging adoption of multichannel marketing for customer engagement
  • Increasing cloud-based applications

Opportunities
  • Growing the requirement for unified multichannel analytics solutions

Restraints
  • Technical complexities associated with multi-channel analytics

Challenges
  • These solutions require a high level of expertise to develop such solutions and results in higher price


Key Target Audience
Multi-channel Analytics Providers, Government Regulatory Bodies, Private Research Organization, Government Research Organization and Others

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from total available market.

Customization available in this Study:
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Report Objectives / Segmentation Covered
By Application
  • Customer Retention & Acquisition
  • Cross-Selling & Up-Selling
  • Loyalty & Customer Experience Management
  • Campaign Management
  • Sales Performance Management
  • Others
By Deployment Mode
  • On-premise
  • Cloud

By Organization Size
  • SMB
  • Large enterprises

By Component
  • Solutions [Query & Reporting, Multidimensional Analysis, Visualization, Data Mining & Predictive Analytics, Others]
  • Service [Professional service, Support, and maintenance service]

By Verticals
  • Retail and consumer goods
  • Banking, Financial Services, and Insurance (BFSI)
  • Government
  • Travel and tourism
  • Media and entertainment
  • Healthcare
  • Telecommunication and IT
  • Others

By Regions
    • 1. Market Overview
      • 1.1. Introduction
      • 1.2. Scope/Objective of the Study
        • 1.2.1. Research Objective
    • 2. Executive Summary
      • 2.1. Introduction
    • 3. Market Dynamics
      • 3.1. Introduction
      • 3.2. Market Drivers
        • 3.2.1. Upsurging adoption of multichannel marketing for customer engagement
        • 3.2.2. Increasing cloud-based applications
      • 3.3. Market Challenges
        • 3.3.1. These solutions require a high level of expertise to develop such solutions and results in higher price
      • 3.4. Market Trends
        • 3.4.1. Increasing online shopping trends owing to widespread internet connectivity
        • 3.4.2. Fueling multichannel buyers may expand the scope of B2C and B2B marketing
    • 4. Market Factor Analysis
      • 4.1. Porters Five Forces
      • 4.2. Supply/Value Chain
      • 4.3. PESTEL analysis
      • 4.4. Market Entropy
      • 4.5. Patent/Trademark Analysis
    • 5. Global Multi-channel Analytics, by Application, Deployment Mode, Organization Size, Component and Verticals (value and price ) (2014-2019)
      • 5.1. Introduction
      • 5.2. Global Multi-channel Analytics (Value)
        • 5.2.1. Global Multi-channel Analytics by: Application (Value)
          • 5.2.1.1. Customer Retention & Acquisition
          • 5.2.1.2. Cross-Selling & Up-Selling
          • 5.2.1.3. Loyalty & Customer Experience Management
          • 5.2.1.4. Campaign Management
          • 5.2.1.5. Sales Performance Management
          • 5.2.1.6. Others
        • 5.2.2. Global Multi-channel Analytics by: Deployment Mode (Value)
          • 5.2.2.1. On-premise
          • 5.2.2.2. Cloud
        • 5.2.3. Global Multi-channel Analytics by: Organization Size (Value)
          • 5.2.3.1. SMB
          • 5.2.3.2. Large enterprises
        • 5.2.4. Global Multi-channel Analytics by: Component (Value)
          • 5.2.4.1. Solutions [Query & Reporting, Multidimensional Analysis, Visualization, Data Mining & Predictive Analytics, Others]
          • 5.2.4.2. Service [Professional service, Support, and maintenance service]
        • 5.2.5. Global Multi-channel Analytics by: Verticals (Value)
          • 5.2.5.1. Retail and consumer goods
          • 5.2.5.2. Banking, Financial Services, and Insurance (BFSI)
          • 5.2.5.3. Government
          • 5.2.5.4. Travel and tourism
          • 5.2.5.5. Media and entertainment
          • 5.2.5.6. Healthcare
          • 5.2.5.7. Telecommunication and IT
          • 5.2.5.8. Others
      • 5.3. Global Multi-channel Analytics (Price)
    • 6. Multi-channel Analytics: Manufacturers/Players Analysis
      • 6.1. Competitive Landscape
        • 6.1.1. Market Share Analysis
          • 6.1.1.1. Top 3
          • 6.1.1.2. Top 5
      • 6.2. Peer Group Analysis (2019)
      • 6.3. BCG Matrix
      • 6.4. Company Profile
        • 6.4.1. Adobe Systems (United States)
          • 6.4.1.1. Business Overview
          • 6.4.1.2. Products/Services Offerings
          • 6.4.1.3. Financial Analysis
          • 6.4.1.4. SWOT Analysis
        • 6.4.2. HP Autonomy (United Kingdom)
          • 6.4.2.1. Business Overview
          • 6.4.2.2. Products/Services Offerings
          • 6.4.2.3. Financial Analysis
          • 6.4.2.4. SWOT Analysis
        • 6.4.3. Google Inc.(United States)
          • 6.4.3.1. Business Overview
          • 6.4.3.2. Products/Services Offerings
          • 6.4.3.3. Financial Analysis
          • 6.4.3.4. SWOT Analysis
        • 6.4.4. IBM (United States)
          • 6.4.4.1. Business Overview
          • 6.4.4.2. Products/Services Offerings
          • 6.4.4.3. Financial Analysis
          • 6.4.4.4. SWOT Analysis
        • 6.4.5. Ijento (New York)
          • 6.4.5.1. Business Overview
          • 6.4.5.2. Products/Services Offerings
          • 6.4.5.3. Financial Analysis
          • 6.4.5.4. SWOT Analysis
        • 6.4.6. SAP (Germany)
          • 6.4.6.1. Business Overview
          • 6.4.6.2. Products/Services Offerings
          • 6.4.6.3. Financial Analysis
          • 6.4.6.4. SWOT Analysis
        • 6.4.7. Oracle (United States)
          • 6.4.7.1. Business Overview
          • 6.4.7.2. Products/Services Offerings
          • 6.4.7.3. Financial Analysis
          • 6.4.7.4. SWOT Analysis
        • 6.4.8. Teradata Corporation (United States)
          • 6.4.8.1. Business Overview
          • 6.4.8.2. Products/Services Offerings
          • 6.4.8.3. Financial Analysis
          • 6.4.8.4. SWOT Analysis
        • 6.4.9. SAS Institute, Inc. (United States)
          • 6.4.9.1. Business Overview
          • 6.4.9.2. Products/Services Offerings
          • 6.4.9.3. Financial Analysis
          • 6.4.9.4. SWOT Analysis
    • 7. Global Multi-channel Analytics Sale, by Application, Deployment Mode, Organization Size, Component and Verticals (value and price ) (2020-2025)
      • 7.1. Introduction
      • 7.2. Global Multi-channel Analytics (Value)
        • 7.2.1. Global Multi-channel Analytics by: Application (Value)
          • 7.2.1.1. Customer Retention & Acquisition
          • 7.2.1.2. Cross-Selling & Up-Selling
          • 7.2.1.3. Loyalty & Customer Experience Management
          • 7.2.1.4. Campaign Management
          • 7.2.1.5. Sales Performance Management
          • 7.2.1.6. Others
        • 7.2.2. Global Multi-channel Analytics by: Deployment Mode (Value)
          • 7.2.2.1. On-premise
          • 7.2.2.2. Cloud
        • 7.2.3. Global Multi-channel Analytics by: Organization Size (Value)
          • 7.2.3.1. SMB
          • 7.2.3.2. Large enterprises
        • 7.2.4. Global Multi-channel Analytics by: Component (Value)
          • 7.2.4.1. Solutions [Query & Reporting, Multidimensional Analysis, Visualization, Data Mining & Predictive Analytics, Others]
          • 7.2.4.2. Service [Professional service, Support, and maintenance service]
        • 7.2.5. Global Multi-channel Analytics by: Verticals (Value)
          • 7.2.5.1. Retail and consumer goods
          • 7.2.5.2. Banking, Financial Services, and Insurance (BFSI)
          • 7.2.5.3. Government
          • 7.2.5.4. Travel and tourism
          • 7.2.5.5. Media and entertainment
          • 7.2.5.6. Healthcare
          • 7.2.5.7. Telecommunication and IT
          • 7.2.5.8. Others
      • 7.3. Global Multi-channel Analytics (Price)
    • 8. Appendix
      • 8.1. Acronyms
    • 9. Methodology and Data Source
      • 9.1. Methodology/Research Approach
        • 9.1.1. Research Programs/Design
        • 9.1.2. Market Size Estimation
        • 9.1.3. Market Breakdown and Data Triangulation
      • 9.2. Data Source
        • 9.2.1. Secondary Sources
        • 9.2.2. Primary Sources
      • 9.3. Disclaimer
    List of Tables
    • Table 1. Multi-channel Analytics: by Application(USD Million)
    • Table 2. Multi-channel Analytics: by Deployment Mode(USD Million)
    • Table 3. Multi-channel Analytics: by Organization Size(USD Million)
    • Table 4. Multi-channel Analytics: by Component(USD Million)
    • Table 5. Multi-channel Analytics: by Verticals(USD Million)
    • Table 6. Company Basic Information, Sales Area and Its Competitors
    • Table 7. Company Basic Information, Sales Area and Its Competitors
    • Table 8. Company Basic Information, Sales Area and Its Competitors
    • Table 9. Company Basic Information, Sales Area and Its Competitors
    • Table 10. Company Basic Information, Sales Area and Its Competitors
    • Table 11. Company Basic Information, Sales Area and Its Competitors
    • Table 12. Company Basic Information, Sales Area and Its Competitors
    • Table 13. Company Basic Information, Sales Area and Its Competitors
    • Table 14. Company Basic Information, Sales Area and Its Competitors
    • Table 15. Multi-channel Analytics: by Application(USD Million)
    • Table 16. Multi-channel Analytics: by Deployment Mode(USD Million)
    • Table 17. Multi-channel Analytics: by Organization Size(USD Million)
    • Table 18. Multi-channel Analytics: by Component(USD Million)
    • Table 19. Multi-channel Analytics: by Verticals(USD Million)
    • Table 20. Research Programs/Design for This Report
    • Table 21. Key Data Information from Secondary Sources
    • Table 22. Key Data Information from Primary Sources
    List of Figures
    • Figure 1. Porters Five Forces
    • Figure 2. Supply/Value Chain
    • Figure 3. PESTEL analysis
    • Figure 4. Global Multi-channel Analytics: by Application USD Million (2014-2019)
    • Figure 5. Global Multi-channel Analytics: by Deployment Mode USD Million (2014-2019)
    • Figure 6. Global Multi-channel Analytics: by Organization Size USD Million (2014-2019)
    • Figure 7. Global Multi-channel Analytics: by Component USD Million (2014-2019)
    • Figure 8. Global Multi-channel Analytics: by Verticals USD Million (2014-2019)
    • Figure 9. Global Multi-channel Analytics share by Players 2019 (%)
    • Figure 10. Global Multi-channel Analytics share by Players (Top 3) 2019(%)
    • Figure 11. Global Multi-channel Analytics share by Players (Top 5) 2019(%)
    • Figure 12. BCG Matrix for key Companies
    • Figure 13. Adobe Systems (United States) Revenue, Net Income and Gross profit
    • Figure 14. Adobe Systems (United States) Revenue: by Geography 2019
    • Figure 15. HP Autonomy (United Kingdom) Revenue, Net Income and Gross profit
    • Figure 16. HP Autonomy (United Kingdom) Revenue: by Geography 2019
    • Figure 17. Google Inc.(United States) Revenue, Net Income and Gross profit
    • Figure 18. Google Inc.(United States) Revenue: by Geography 2019
    • Figure 19. IBM (United States) Revenue, Net Income and Gross profit
    • Figure 20. IBM (United States) Revenue: by Geography 2019
    • Figure 21. Ijento (New York) Revenue, Net Income and Gross profit
    • Figure 22. Ijento (New York) Revenue: by Geography 2019
    • Figure 23. SAP (Germany) Revenue, Net Income and Gross profit
    • Figure 24. SAP (Germany) Revenue: by Geography 2019
    • Figure 25. Oracle (United States) Revenue, Net Income and Gross profit
    • Figure 26. Oracle (United States) Revenue: by Geography 2019
    • Figure 27. Teradata Corporation (United States) Revenue, Net Income and Gross profit
    • Figure 28. Teradata Corporation (United States) Revenue: by Geography 2019
    • Figure 29. SAS Institute, Inc. (United States) Revenue, Net Income and Gross profit
    • Figure 30. SAS Institute, Inc. (United States) Revenue: by Geography 2019
    • Figure 31. Global Multi-channel Analytics: by Application USD Million (2020-2025)
    • Figure 32. Global Multi-channel Analytics: by Deployment Mode USD Million (2020-2025)
    • Figure 33. Global Multi-channel Analytics: by Organization Size USD Million (2020-2025)
    • Figure 34. Global Multi-channel Analytics: by Component USD Million (2020-2025)
    • Figure 35. Global Multi-channel Analytics: by Verticals USD Million (2020-2025)
    Some of the key companies/manufacturers profiled in the report
    • Adobe Systems (United States)
    • HP Autonomy (United Kingdom)
    • Google Inc.(United States)
    • IBM (United States)
    • Ijento (New York)
    • SAP (Germany)
    • Oracle (United States)
    • Teradata Corporation (United States)
    • SAS Institute, Inc. (United States)
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