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Customer Data Platform Market by Component, Application (Customer Retention and Engagement and Personalized Recommendation), Deployment Mode, Organization Size, Vertical, Capability and Region - Global Forecast to 2027

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Report Code: TC 6601 Dec, 2022, by marketsandmarkets.com

Customer Data Platform (CDP) Industry Statistics

[334 Pages Report] The global Customer Data Platform Market size is projected to grow at a Compound Annual Growth Rate (CAGR) of 32.4% to reach USD 19.7 billion by 2027. The CDP market was valued USD 4.8 billion in 2022.

Customer Data Platform Market

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Customer Data Platform Market Growth Dynamics

Driver: Need to deliver an omnichannel experience

As customer experience is becoming the new competitive battlefield, companies must compete with a better customer experience. Customers want to feel appreciated and understood when they interact with a brand. Businesses require complete visibility into each consumer's interests and involvement across all marketing channels to provide flexible support and customized messaging. CDPs have risen in importance as a result, as they promise to create a unified view of the customer across all touchpoints to help a brand gain a real understanding of who the customer is, what their preferences are, and what their intent may be. The ability to share this view across the organization’s marketing ecosystem makes it possible to provide consistent experiences across the customers journey with the brand. Hence, the increasing demand for omnichannel experience is expected to boost the CDP market growth as it uses a customer-centric approach that improves user experience.

Restraint: Lack of flexibility

Most CDPs are built on a rigid data model that will clash with a company's data architecture. Their schema is their schema, and businesses must adhere to it if they wish to use them. The data team will have many late nights as they re-architect their data to meet the CDP's specific model. They are asking their team to stuff their data into the CDP and get it to work, which could lead to problems such as an overworked and irritated crew. Businesses may have difficulty reconciling their hierarchy or proprietary objects within their data set with a CDP.

Opportunity: Expansion of artificial intelligence and machine learning

AI helps marketers automate standard workflows, create customer segments, and modify page elements to deliver personalized experiences. Increasingly, ML is coming into play to analyze large volumes of data and accelerate the process of testing and refining campaigns.

Companies are gathering and storing enormous volumes of data. To identify patterns, make predictions, and offer recommendations that are helpful for marketers, AI and ML process and analyze data in an automated and predictive manner. Leading CDPs also leverage AI and ML throughout their functions. These technologies continually analyze evolving customer identities across time. Drawing new insights from the inherent analytical functions are then used for predictive recommendations marketers look for. This process helps marketing teams make collective, intuitive decisions in real-time.

Challenge: Confusion around what CDP can and should do

With the CDP space becoming more crowded, there is confusion about what a CDP can and should do. While various vendors and institutes try to define CDP, a narrow definition of CDP is not enough in its entirety to resolve the confusion. Confusions revolve around cross-referencing CDP solutions with CRM, Enterprise Data Platform (EDP), Enterprise Resource Planning (ERP), data warehouses, data lakes, DMP and other similar data and marketing-related solutions than existing CDP solutions would offer. For example, CDPs and DMPs can make segmentation, predictive scoring, reporting, attribution support, and identity resolution. On the other hand, the primary goal of a CDP is to increase customer loyalty and wallet share by informing the next-best actions, while a DMP is used for customer acquisition and conversion.

Platform segment to account for larger market size during forecast period

The component segment is further divided into platforms and services. The platform segment is expected to account for a larger market size during the forecast period. CDP has received a lot of attention from businesses looking to make a great customer experience. CDP helps businesses gain a deep and accurate understanding of every customer and prospect across all interactions. Most of the CDP solution providers offer a software package or a platform that integrates customer data from different channels, including eCommerce, point of sale, email sign-up, and product registration, into a single database to provide a 360° customer view.

Travel and hospitality vertical to grow at highest CAGR during forecast period

The travel and hospitality vertical is one of the most competitive verticals; it would deploy CDPs as it deals with customers’ crucial personal data. This vertical suffers unprecedented challenges, such as external as well as internal shocks from risks. In the travel and hospitality industry, a brand is judged based on its customer experience. Repeat transactions are the significant revenue factors in this industry. Marketers in this sector are extremely particular about the quality of experience they provide their customers. Providing enriching experiences ensures customer loyalty, repeats purchases, and provides a competitive edge for the brand.

North America to account for largest market size during forecast period

North America is expected to have the largest customer data platform market share. Important factors favoring the growth of the customer data platform market in the North American region include the increasing technological advancements in the region. The growing number of customer data platform players across regions is expected to drive market growth further.

Customer Data Platform Market Size, and Share

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Key Market Players

The customer data platform vendors have implemented various organic and inorganic growth strategies, such as new product launches, product upgrades, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global customer data platform market include Oracle Corporation (US), SAP SE (Germany), Adobe Inc. (US), Salesforce.com, Inc. (US), Microsoft Corporation (US), SAS Institute (US),Twilio Segement (US),Cloudera(US) Teradata (US), Nice Systems Ltd. (Israel), Dun & Bradstreet (US), Leadspace (US), Upland Software (US), CaliberMind (US), Celebrus (UK), Tealium (US), Acquia (US), BlueConic (US), Lytics Inc. (US), IgnitionOne, Inc. (US), Amperity, Inc. (US), Optimove (US), Totango (US), Insider (Singapore), Segment (US), Listrak (US), Simon Data (US), Ometria (UK), Treasure Data (US), Salesmango (US), and ActionIQ (US).The study includes an in-depth competitive analysis of these key players in the customer data platform market with their company profiles, recent developments, and key market strategies.

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Scope of the Report

Report Metrics

Details
Market Size Value in 2022 US$ 4.8 billion
Revenue Forecast Size Value in 2027 US$ 19.7 billion
Growth Rate 32.4% CAGR
Market Drivers Need to deliver an omnichannel experience
Key Market Opportunities Expansion of AI & Machine Learning
Market size available for years 2016–2027
Base year considered 2021
Forecast period 2022–2027
Forecast units USD Billion
Segments covered Component, Deployment Mode, Organization Size, Application, Data Channel, Capability, Vertical, and Region
Geographies covered North America, Europe, APAC, MEA, and Latin America
Companies covered Oracle Corporation (US), SAP SE (Germany), Adobe Inc. (US), Salesforce.com, Inc. (US), Microsoft Corporation (US), SAS Institute (US),Twilio Segement (US),Cloudera(US) Teradata (US), Nice Systems Ltd. (Israel), Dun & Bradstreet (US), Leadspace (US), Upland Software (US), CaliberMind (US), Celebrus (UK), Tealium (US), Acquia (US), BlueConic (US), Lytics Inc. (US), IgnitionOne, Inc. (US), Amperity, Inc. (US), Optimove (US), Totango (US), Insider (Singapore), Segment (US), Listrak (US), Simon Data (US), Ometria (UK), Treasure Data (US), Salesmango (US), and ActionIQ (US).

This research report categorizes the customer data platform market based on components, types, deployment modes, organization size, applications, data channels, capabilities, verticals, and regions.

By Component:
  • Platform
  • Services
    • Professional Services
      • Consulting Services
      • Support and Maintenance
By Capability:
  • Access
  • Analytics
  • Campaign
By Deployment Mode:
  • Cloud
  • On-premises
By Organization Size:
  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)
By Application:
  • Personalized Recommendations
  • Predictive Analytics
  • Sales and Marketing Data Segmentation
  • Customer Retention and Engagement
  • Risk and Compliance Management
  • Other Verticals (Data Monetization and Data Enrichment)
By Data Channel:
  • Web
  • Social Media
  • Smartphone
  • Email
  • Store
  • Call Centers
  • Other Data Sources (Surveys, Promotional Data, and Sales Representatives)
By Vertical:
  • BFSI
  • Retail and eCommerce
  • Media and Entertainment
  • Travel and Hospitality
  • Telecom and IT
  • Healthcare
  • Other Verticals (Automobile, Government, and Education)
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • APAC
    • China
    • Japan
    • India
    • Australia
    • Rest of APAC
  • MEA
    • Middle East
    • Africa
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Recent Developments:

  • In May 2022, Oracle updated Oracle service to embed data from Oracle Unity Customer Data Platform to help customer service agents.
  • In September 2022, Salesforce and snowflakes announced new zero-copy data sharing that enables customers to unlock more value from their data.
  • In March 2022, Cloudera and Kyndryl partnered to deliver offerings dealing with large scale transformation projects by leveraging Kyndryl data framework toolkits.
  • In January 2022, Acquia upgraded advanced retail machine learning models for Acquia CDP to increase customer lifetime value.

Frequently Asked Questions (FAQ):

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

 

TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 33)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS & EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY CONSIDERED 
           TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2018–2021
    1.5 STAKEHOLDERS 
    1.6 SUMMARY OF CHANGES 
 
2 RESEARCH METHODOLOGY (Page No. - 38)
    2.1 RESEARCH DATA 
           FIGURE 1 CUSTOMER DATA PLATFORM MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    TABLE 2 PRIMARY INTERVIEWS
                    2.1.2.1 Breakup of primary profiles
                               FIGURE 2 BREAKUP OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION, AND REGION
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION 
           FIGURE 3 DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1 (SUPPLY SIDE)
           FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1:  BOTTOM-UP (SUPPLY SIDE)
           FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2 - BOTTOM-UP (DEMAND SIDE): PRODUCTS/SOLUTIONS/SERVICES SOLD AND THEIR AVERAGE SELLING PRICE
           FIGURE 7 CUSTOMER DATA PLATFORM MARKET: TOP-DOWN AND  BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
    2.4 MARKET FORECAST 
           TABLE 3 FACTOR ANALYSIS
    2.5 MICRO QUADRANT RESEARCH METHODOLOGY 
           TABLE 4 EVALUATION CRITERIA
           2.5.1 VENDOR INCLUSION CRITERIA
    2.6 COMPANY EVALUATION MATRIX METHODOLOGY 
           FIGURE 8 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
    2.7 STARTUP/SMES EVALUATION MATRIX METHODOLOGY 
           FIGURE 9 STARTUP/SMES EVALUATION MATRIX: CRITERIA WEIGHTAGE
    2.8 ASSUMPTIONS 
    2.9 LIMITATIONS 
 
3 EXECUTIVE SUMMARY (Page No. - 53)
    TABLE 5 CUSTOMER DATA PLATFORM MARKET SIZE AND GROWTH RATE,  2016–2021 (USD MILLION, Y-O-Y%) 
    TABLE 6 MARKET SIZE AND GROWTH RATE, 2022–2027 (USD MILLION, Y-O-Y%) 
    3.1 MARKET: RECESSION IMPACT 
           FIGURE 10 MARKET TO WITNESS DECLINE IN  Y-O-Y GROWTH IN 2022
           FIGURE 11 PLATFORMS SEGMENT TO ACCOUNT FOR LARGER MARKET SIZE IN 2022
           FIGURE 12 CONSULTING SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2022
           FIGURE 13 CLOUD SEGMENT TO HOLD LARGER MARKET SIZE IN 2022
           FIGURE 14 LARGE ENTERPRISES SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2022
           FIGURE 15 PERSONALIZED RECOMMENDATIONS TO HOLD LARGEST MARKET SIZE IN 2022
           FIGURE 16 EMAIL TO ACCOUNT FOR LARGEST MARKET SHARE IN 2022
           FIGURE 17 TRAVEL & HOSPITALITY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
           FIGURE 18 MARKET SNAPSHOT, BY REGION
 
4 PREMIUM INSIGHTS (Page No. - 60)
    4.1 BRIEF OVERVIEW OF CUSTOMER DATA PLATFORM MARKET 
           FIGURE 19 INCREASING SPENDING ON MARKETING AND ADVERTISING ACTIVITIES TO BE KEY FACTOR DRIVING OVERALL GROWTH
    4.2 MARKET:  TOP THREE VERTICALS, 2022-2027 
           FIGURE 20 TELECOM & IT SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    4.3 MARKET, BY REGION, 2022 
           FIGURE 21 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2022
    4.4 NORTH AMERICA: MARKET,  BY APPLICATION AND VERTICAL, 2022 
           FIGURE 22 PERSONALIZED RECOMMENDATIONS AND BFSI TO ACCOUNT FOR LARGEST SHARES IN 2022
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 62)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 23 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES:  CUSTOMER DATA PLATFORM MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Need to deliver omnichannel experience
                    5.2.1.2 Need to comply with data protection regulations
                    5.2.1.3 Shift toward data-driven marketing and advertising
                    5.2.1.4 Changing landscape of customer intelligence
                    5.2.1.5 Proliferation of customer channels
           5.2.2 RESTRAINTS
                    5.2.2.1 Data privacy laws and protection of customer data to be critical for CDP adoption
                    5.2.2.2 Lack of flexibility
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Expansion of artificial intelligence and machine learning
                    5.2.3.2 Automated smart machines to drive customer experience
                    5.2.3.3 Rising investments and fundings by enterprises to identify growth opportunities
           5.2.4 CHALLENGES
                    5.2.4.1 More time required for creating marketing campaigns
                    5.2.4.2 Difficulties in understanding ‘why’
                    5.2.4.3 Confusion around what CDP can and should do
    5.3 EVOLUTION: CUSTOMER DATA PLATFORM 
    5.4 ARCHITECTURE: CUSTOMER DATA PLATFORM 
           FIGURE 24 CUSTOMER DATA PLATFORM FUNCTIONALITY
    5.5 ECOSYSTEM: CUSTOMER DATA PLATFORM 
           TABLE 7 ECOSYSTEM: CUSTOMER DATA PLATFORM MARKET
    5.6 VALUE CHAIN ANALYSIS 
           FIGURE 25 VALUE CHAIN ANALYSIS: CUSTOMER DATA PLATFORM
    5.7 SUPPLY CHAIN ANALYSIS 
           FIGURE 26 SUPPLY CHAIN ANALYSIS: MARKET
    5.8 TECHNOLOGY ANALYSIS 
           5.8.1 AI, ML, AND CUSTOMER DATA PLATFORM
           5.8.2 CLOUD COMPUTING AND CUSTOMER DATA PLATFORM
           5.8.3 BIG DATA AND ANALYTICS AND CUSTOMER DATA PLATFORM
    5.9 CASE STUDY ANALYSIS 
           5.9.1 TELECOM & IT
                    5.9.1.1 Case study: To understand increasingly diverse customer base across industries
                    5.9.1.2 Use case: To close valuable deals quickly
           5.9.2 BFSI
                    5.9.2.1 Use case: To analyze consumer behavior on all touchpoints
           5.9.3 HEALTHCARE
                    5.9.3.1 Use case: To build better direct relationships with patients
           5.9.4 RETAIL & ECOMMERCE
                    5.9.4.1 Use case: To improve audience segmentation and customer engagement
           5.9.5 MEDIA & ENTERTAINMENT
                    5.9.5.1 Use case: To improve CRM and analytics capability
           5.9.6 OTHERS
                    5.9.6.1 Use case: To increase pipeline quality, conversion rates, and win rates
                    5.9.6.2 Use case: To drive highly personalized account-based marketing campaign
    5.10 PATENT ANALYSIS 
           5.10.1 METHODOLOGY
           5.10.2 DOCUMENT TYPE
                    TABLE 8 PATENTS FILED, 2019-2022
           5.10.3 INNOVATION AND PATENT APPLICATIONS
                    FIGURE 27 TOTAL NUMBER OF PATENTS GRANTED ANNUALLY, 2019–2022
                    5.10.3.1 Top applicants
                               FIGURE 28 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS,  2019–2022
    5.11 PORTER’S FIVE FORCES ANALYSIS 
                    TABLE 9 IMPACT OF EACH FORCE ON CUSTOMER DATA PLATFORM MARKET
                    FIGURE 29 PORTER’S FIVE FORCES ANALYSIS: MARKET
           5.11.1 THREAT OF NEW ENTRANTS
           5.11.2 THREAT OF SUBSTITUTES
           5.11.3 BARGAINING POWER OF SUPPLIERS
           5.11.4 BARGAINING POWER OF BUYERS
           5.11.5 INTENSITY OF COMPETITIVE RIVALRY
    5.12 CUSTOMER DATA PLATFORM MARKET:  TRENDS IMPACTING BUYERS 
    5.13 REGULATORY IMPLICATIONS 
           5.13.1 GENERAL DATA PROTECTION REGULATIONS
           5.13.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
           5.13.3 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION/INTERNATIONAL ELECTROTECHNICAL COMMISSION 27000 STANDARDS
           5.13.4 CLOUD SECURITY ALLIANCE CONTROLS
           5.13.5 GOVERNANCE, RISK, AND COMPLIANCE
           5.13.6 EUROPEAN UNION DATA PROTECTION REGULATION
           5.13.7 SYSTEM AND ORGANIZATION CONTROL REPORTS
                    5.13.7.1 System and Organization Control 1
                    5.13.7.2 System and Organization Control 2
           5.13.8 SARBANES-OXLEY ACT OF 2002
           5.13.9 THE GRAMM–LEACH–BLILEY ACT
                    5.13.10 EUROPEAN UNION DATA PROTECTION REGULATION
                    5.13.11 CAN-SPAM ACT
    5.14 TARIFF AND REGULATORY LANDSCAPE 
           5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES,  AND OTHER ORGANIZATIONS
                    TABLE 10 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 11 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,  AND OTHER ORGANIZATIONS
                    TABLE 12 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,  AND OTHER ORGANIZATIONS
                    TABLE 13 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES,  AND OTHER ORGANIZATIONS
                    TABLE 14 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    5.15 PRICING MODEL ANALYSIS 
    5.16 KEY STAKEHOLDERS & BUYING CRITERIA 
           5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS (%)
           5.16.2 BUYING CRITERIA
                    FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
                    TABLE 16 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
 
6 CUSTOMER DATA PLATFORM MARKET, BY COMPONENT (Page No. - 91)
    6.1 INTRODUCTION 
           6.1.1 COMPONENT: MARKET DRIVERS
                    FIGURE 31 PLATFORMS TO ACCOUNT FOR LARGER MARKET SIZE DURING FORECAST PERIOD
                    TABLE 17 MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
                    TABLE 18 MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
    6.2 PLATFORMS 
           6.2.1 USE OF CUSTOMER ANALYTICS AND PREDICTIVE MODELS TO DRIVE GROWTH
                    TABLE 19 PLATFORMS: MARKET, BY REGION,  2016–2021 (USD MILLION)
                    TABLE 20 PLATFORMS: MARKET, BY REGION,  2022–2027 (USD MILLION)
    6.3 SERVICES 
           6.3.1 INCREASING TECHNOLOGICAL ADVANCEMENTS TO PROPEL DEMAND FOR CDP SERVICES
                    FIGURE 32 SUPPORT & MAINTENANCE TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 21 MARKET, BY SERVICE, 2016–2021 (USD MILLION)
                    TABLE 22 CUSTOMER DATA PLATFORM MARKET, BY SERVICE, 2022–2027 (USD MILLION)
                    TABLE 23 CUSTOMER DATA PLATFORM SERVICES MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 24 CUSTOMER DATA PLATFORM SERVICES MARKET, BY REGION,  2022–2027 (USD MILLION)
           6.3.2 PROFESSIONAL SERVICES
                    6.3.2.1 Growth of professional services to be directly proportional to operational complexities
                    6.3.2.2 Consulting
                               6.3.2.2.1 Submitting responses and identifying areas for improvement
                               TABLE 25 CONSULTING: MARKET, BY REGION,  2016–2021 (USD MILLION)
                               TABLE 26 CONSULTING: MARKET, BY REGION,  2022–2027 (USD MILLION)
                    6.3.2.3 Support & maintenance
                               6.3.2.3.1 Growing need to upgrade existing systems and support connected solutions
                               TABLE 27 SUPPORT & MAINTENANCE: MARKET, BY REGION,  2016–2021 (USD MILLION)
                               TABLE 28 SUPPORT & MAINTENANCE: MARKET, BY REGION,  2022–2027 (USD MILLION)
 
7 CUSTOMER DATA PLATFORM MARKET, BY DEPLOYMENT MODE (Page No. - 99)
    7.1 INTRODUCTION 
           7.1.1 DEPLOYMENT MODE: MARKET DRIVERS
                    FIGURE 33 CLOUD SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 29 MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD MILLION)
                    TABLE 30 MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD MILLION)
    7.2 CLOUD 
           7.2.1 DEVELOPING TECHNOLOGIES TO PRESENT OPPORTUNITIES  FOR CDP
                    TABLE 31 CLOUD: MARKET, BY REGION,  2016–2021 (USD MILLION)
                    TABLE 32 CLOUD: CUSTOMER DATA PLATFORM, BY REGION, 2022–2027 (USD MILLION)
    7.3 ON-PREMISES 
           7.3.1 CUSTOMER DATA MANAGEMENT TO IMPROVE OVERALL MARKETING QUALITY
                    TABLE 33 ON-PREMISES: MARKET, BY REGION,  2016–2021 (USD MILLION)
                    TABLE 34 ON-PREMISES: MARKET, BY REGION,  2022–2027 (USD MILLION)
 
8 CUSTOMER DATA PLATFORM MARKET, BY ORGANIZATION SIZE (Page No. - 104)
    8.1 INTRODUCTION 
           8.1.1 ORGANIZATION SIZE: MARKET DRIVERS
                    FIGURE 34 LARGE ENTERPRISES TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 35 MARKET, BY ORGANIZATION SIZE,  2016–2021 (USD MILLION)
                    TABLE 36 MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD MILLION)
    8.2 SMALL & MEDIUM-SIZED ENTERPRISES 
           8.2.1 INCREASED ADOPTION OF CUSTOM SOLUTIONS TO EXPAND PRESENCE AND CUSTOMER BASE
                    TABLE 37 SMES: MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 38 SMES: MARKET, BY REGION, 2022–2027 (USD MILLION)
    8.3 LARGE ENTERPRISES 
           8.3.1 IT TO HELP VENDORS UNDERSTAND CUSTOMER BEHAVIOR ACROSS DEVICES AND LOCATIONS
                    TABLE 39 LARGE ENTERPRISES: MARKET, BY REGION,  2016–2021 (USD MILLION)
                    TABLE 40 LARGE ENTERPRISES: MARKET, BY REGION,  2022–2027 (USD MILLION)
 
9 CUSTOMER DATA PLATFORM MARKET, BY APPLICATION (Page No. - 109)
    9.1 INTRODUCTION 
           9.1.1 APPLICATION: MARKET DRIVERS
                    FIGURE 35 PREDICTIVE ANALYTICS TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 41 MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
                    TABLE 42 MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
    9.2 PERSONALIZED RECOMMENDATIONS 
           9.2.1 PERSONALIZATION TO ENABLE CUSTOMIZED BUYING EXPERIENCE
                    TABLE 43 PERSONALIZED RECOMMENDATIONS: MARKET,  BY REGION, 2016–2021 (USD MILLION)
                    TABLE 44 PERSONALIZED RECOMMENDATIONS: MARKET,  BY REGION, 2022–2027 (USD MILLION)
    9.3 PREDICTIVE ANALYTICS 
           9.3.1 PREDICTIVE ANALYTICS TO HELP ORGANIZATIONS FORECAST EVENTS AND BEHAVIOR BASED ON HISTORICAL DATA
                    TABLE 45 PREDICTIVE ANALYTICS: MARKET, BY REGION,  2016–2021 (USD MILLION)
                    TABLE 46 PREDICTIVE ANALYTICS: MARKET, BY REGION,  2022–2027 (USD MILLION)
    9.4 CUSTOMER RETENTION & ENGAGEMENT 
           9.4.1 CUSTOMER ENGAGEMENT TO DRIVE LOYALTY
                    TABLE 47 CUSTOMER RETENTION & ENGAGEMENT: CUSTOMER DATA PLATFORM MARKET,  BY REGION, 2016–2021 (USD MILLION)
                    TABLE 48 CUSTOMER RETENTION & ENGAGEMENT: MARKET,  BY REGION, 2022–2027 (USD MILLION)
    9.5 SALES & MARKETING DATA SEGMENTATION 
           9.5.1 MAKING DATA AVAILABLE TO MARKETERS TO CREATE TARGETED AND PERSONALIZED MARKETING CAMPAIGNS
                    TABLE 49 MARKETING DATA SEGMENTATION: MARKET,  BY REGION, 2016–2021 (USD MILLION)
                    TABLE 50 MARKETING DATA SEGMENTATION: MARKET,  BY REGION, 2022–2027 (USD MILLION)
    9.6 RISK & COMPLIANCE MANAGEMENT 
           9.6.1 PERSONAL DATA TO COMPLY WITH REGULATIONS FOR ENSURING PROTECTION OF CUSTOMER INFORMATION
                    TABLE 51 RISK & COMPLIANCE MANAGEMENT: MARKET, BY REGION, 2016–2021 (USD MILLION)
                    TABLE 52 RISK & COMPLIANCE MANAGEMENT: CUSTOMER DATA PLATFORM, BY REGION,  2022–2027 (USD MILLION)
    9.7 OTHER APPLICATIONS 
           TABLE 53 OTHER APPLICATIONS: MARKET, BY REGION,  2016–2021 (USD MILLION)
           TABLE 54 OTHER APPLICATIONS: MARKET, BY REGION,  2022–2027 (USD MILLION)
 
10 CUSTOMER DATA PLATFORM MARKET, BY CAPABILITY (Page No. - 119)
     10.1 INTRODUCTION 
     10.2 ACCESS 
             10.2.1 CDP TO MAKE CUSTOMER DATA ACTIONABLE AND SUPPORT CONNECTION
     10.3 ANALYTICS 
             10.3.1 ANALYTICS TO CREATE PRECISELY MATCHED CUSTOMER PROFILES, SEGMENTS, OR PERSONAS
     10.4 CAMPAIGN 
             10.4.1 CAMPAIGNS TO ENABLE EXPORT OF AUDIENCE TO DMP
 
11 CUSTOMER DATA PLATFORM MARKET, BY DATA CHANNEL (Page No. - 121)
     11.1 INTRODUCTION 
             11.1.1 DATA CHANNEL: MARKET DRIVERS
                       FIGURE 36 SMARTPHONE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 55 MARKET, BY DATA CHANNEL, 2016–2021 (USD MILLION)
                       TABLE 56 MARKET, BY DATA CHANNEL,  2022–2027 (USD MILLION)
     11.2 WEB 
             11.2.1 USERS TO RELATE WITH BUSINESSES ON WEBSITES VIA TEXT, IMAGES, AUDIO, AND VIDEO DATA
                       TABLE 57 WEB: MARKET, BY REGION,  2016–2021 (USD MILLION)
                       TABLE 58 WEB: MARKET, BY REGION,  2022–2027 (USD MILLION)
     11.3 SOCIAL MEDIA 
             11.3.1 SOCIAL MEDIA PLATFORM TO PROVIDE IMMEDIATE CUSTOMER SERVICES FOR ENHANCING ENGAGEMENT
                       TABLE 59 SOCIAL MEDIA: MARKET, BY REGION,  2016–2021 (USD MILLION)
                       TABLE 60 SOCIAL MEDIA: MARKET, BY REGION,  2022–2027 (USD MILLION)
     11.4 SMARTPHONE 
             11.4.1 CDP TO FOCUS ON BUILDING CENTRAL LOCATION FOR CUSTOMER DATA
                       TABLE 61 SMARTPHONE: MARKET, BY REGION,  2016–2021 (USD MILLION)
                       TABLE 62 SMARTPHONE: MARKET, BY REGION,  2022–2027 (USD MILLION)
     11.5 EMAIL 
             11.5.1 EMAIL TO BUILD BETTER RELATIONSHIPS WITH CUSTOMERS
                       TABLE 63 EMAIL: CUSTOMER DATA PLATFORM MARKET, BY REGION,  2016–2021 (USD MILLION)
                       TABLE 64 EMAIL: MARKET, BY REGION,  2022–2027 (USD MILLION)
     11.6 STORE 
             11.6.1 TO GIVE CONSOLIDATED INFORMATION TO CUSTOMERS  FOR THEIR UNDERSTANDING
                       TABLE 65 STORE: MARKET, BY REGION,  2016–2021 (USD MILLION)
                       TABLE 66 STORE: MARKET, BY REGION,  2022–2027 (USD MILLION)
     11.7 CALL CENTER 
             11.7.1 CDP TO OFFER VALUABLE INSIGHTS FOR CUSTOMER CARE AND CUSTOMER SERVICE STAGES
                       TABLE 67 CALL CENTER: MARKET, BY REGION,  2016–2021 (USD MILLION)
                       TABLE 68 CALL CENTER: MARKET, BY REGION,  2022–2027 (USD MILLION)
     11.8 OTHER DATA CHANNELS 
               TABLE 69 OTHER DATA CHANNELS: MARKET, BY REGION,  2016–2021 (USD MILLION)
               TABLE 70 OTHER DATA CHANNELS: MARKET, BY REGION,  2022–2027 (USD MILLION)
 
12 CUSTOMER DATA PLATFORM MARKET, BY VERTICAL (Page No. - 131)
     12.1 INTRODUCTION 
             12.1.1 VERTICAL: MARKET DRIVERS
                       FIGURE 37 TRAVEL & HOSPITALITY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 71 MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
                       TABLE 72 MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
     12.2 BFSI 
             12.2.1 INCREASED ONLINE ENGAGEMENT TO PROVIDE PERSONALIZED CUSTOMER EXPERIENCE
                       TABLE 73 BFSI: MARKET, BY REGION, 2016–2021 (USD MILLION)
                       TABLE 74 BFSI: MARKET, BY REGION, 2022–2027 (USD MILLION)
     12.3 RETAIL & ECOMMERCE 
             12.3.1 NEW TECHNOLOGIES TO PRESENT OPPORTUNITIES TO CUSTOMERS
                       TABLE 75 RETAIL & ECOMMERCE: MARKET, BY REGION,  2016–2021 (USD MILLION)
                       TABLE 76 RETAIL & ECOMMERCE: MARKET, BY REGION,  2022–2027 (USD MILLION)
     12.4 MEDIA & ENTERTAINMENT 
             12.4.1 ADVANCED TECHNOLOGIES TO DRIVE DIGITAL TRANSFORMATION
                       TABLE 77 MEDIA & ENTERTAINMENT: MARKET, BY REGION,  2016–2021 (USD MILLION)
                       TABLE 78 MEDIA & ENTERTAINMENT: MARKET, BY REGION,  2022–2027 (USD MILLION)
     12.5 TRAVEL & HOSPITALITY 
             12.5.1 CDP TO HELP ENHANCE ONLINE CONVERSIONS BY TAKING USERS BACK TO WEBSITES
                       TABLE 79 TRAVEL & HOSPITALITY: CUSTOMER DATA PLATFORM MARKET, BY REGION,  2016–2021 (USD MILLION)
                       TABLE 80 TRAVEL & HOSPITALITY: MARKET, BY REGION,  2022–2027 (USD MILLION)
     12.6 TELECOM & IT 
             12.6.1 TO CREATE NEW APPLICATIONS FOR CUSTOMERS
                       TABLE 81 TELECOM & IT: MARKET, BY REGION,  2016–2021 (USD MILLION)
                       TABLE 82 TELECOM & IT: MARKET, BY REGION,  2022–2027 (USD MILLION)
     12.7 HEALTHCARE & LIFE SCIENCES 
             12.7.1 CDP TOOLS TO FIND VARIABLES AND METRICS TO BETTER PREDICT BUSINESS PERFORMANCE
                       TABLE 83 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION,  2016–2021 (USD MILLION)
                       TABLE 84 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION,  2022–2027 (USD MILLION)
     12.8 OTHER VERTICALS 
               TABLE 85 OTHER VERTICALS: MARKET, BY REGION,  2016–2021 (USD MILLION)
               TABLE 86 OTHER VERTICALS: MARKET, BY REGION,  2022–2027 (USD MILLION)
 
13 CUSTOMER DATA PLATFORM MARKET, BY REGION (Page No. - 143)
     13.1 INTRODUCTION 
               FIGURE 38 NORTH AMERICA TO HOLD LARGEST MARKET DURING FORECAST PERIOD
               FIGURE 39 APAC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
               TABLE 87 MARKET, BY REGION, 2016–2021 (USD MILLION)
               TABLE 88 MARKET, BY REGION, 2022–2027 (USD MILLION)
     13.2 NORTH AMERICA 
             13.2.1 NORTH AMERICA: MARKET DRIVERS
             13.2.2 NORTH AMERICA: RECESSION IMPACT
                       FIGURE 40 NORTH AMERICA: MARKET SNAPSHOT
                       TABLE 89 NORTH AMERICA: CUSTOMER DATA PLATFORM MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                       TABLE 90 NORTH AMERICA: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                       TABLE 91 NORTH AMERICA: MARKET, BY SERVICE,  2016–2021 (USD MILLION)
                       TABLE 92 NORTH AMERICA: MARKET, BY SERVICE,  2022–2027 (USD MILLION)
                       TABLE 93 NORTH AMERICA: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                       TABLE 94 NORTH AMERICA: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                       TABLE 95 NORTH AMERICA: MARKET, BY DATA CHANNEL,  2016–2021 (USD MILLION)
                       TABLE 96 NORTH AMERICA: MARKET, BY DATA CHANNEL, 2022–2027 (USD MILLION)
                       TABLE 97 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION)
                       TABLE 98 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD MILLION)
                       TABLE 99 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE,  2016–2021 (USD MILLION)
                       TABLE 100 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD MILLION)
                       TABLE 101 NORTH AMERICA: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                       TABLE 102 NORTH AMERICA: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
                       TABLE 103 NORTH AMERICA: MARKET, BY COUNTRY,  2016–2021 (USD MILLION)
                       TABLE 104 NORTH AMERICA: MARKET, BY COUNTRY,  2022–2027 (USD MILLION)
             13.2.3 US
                       13.2.3.1 Rapid adoption and use of innovative solutions to gain insights from CDP to drive market growth
                                   TABLE 105 US: CUSTOMER DATA PLATFORM MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                                   TABLE 106 US: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 107 US: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                                   TABLE 108 US: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                                   TABLE 109 US: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                                   TABLE 110 US: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
             13.2.4 CANADA
                       13.2.4.1 Rising government investments to boost market growth
                                   TABLE 111 CANADA: MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                                   TABLE 112 CANADA: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 113 CANADA: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                                   TABLE 114 CANADA: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                                   TABLE 115 CANADA: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                                   TABLE 116 CANADA: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
     13.3 EUROPE 
             13.3.1 EUROPE: CUSTOMER DATA PLATFORM MARKET DRIVERS
             13.3.2 RECESSION IMPACT: EUROPE
                       TABLE 117 EUROPE: MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                       TABLE 118 EUROPE: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                       TABLE 119 EUROPE: MARKET, BY SERVICE,  2016–2021 (USD MILLION)
                       TABLE 120 EUROPE: MARKET, BY SERVICE,  2022–2027 (USD MILLION)
                       TABLE 121 EUROPE: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                       TABLE 122 EUROPE: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                       TABLE 123 EUROPE: MARKET, BY DATA CHANNEL,  2016–2021 (USD MILLION)
                       TABLE 124 EUROPE: MARKET, BY DATA CHANNEL,  2022–2027 (USD MILLION)
                       TABLE 125 EUROPE: MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD MILLION)
                       TABLE 126 EUROPE: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD MILLION)
                       TABLE 127 EUROPE: MARKET, BY ORGANIZATION SIZE,  2016–2021 (USD MILLION)
                       TABLE 128 EUROPE: MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD MILLION)
                       TABLE 129 EUROPE: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                       TABLE 130 EUROPE: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
                       TABLE 131 EUROPE: MARKET, BY COUNTRY,  2016–2021 (USD MILLION)
                       TABLE 132 EUROPE: MARKET, BY COUNTRY,  2022–2027 (USD MILLION)
             13.3.3 UK
                       13.3.3.1 Adopting CDP solutions and services to drive market growth
                                   TABLE 133 UK: CUSTOMER DATA PLATFORM MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                                   TABLE 134 UK: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 135 UK: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                                   TABLE 136 UK: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                                   TABLE 137 UK: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                                   TABLE 138 UK: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
             13.3.4 GERMANY
                       13.3.4.1 Rising digital mobility in major industries to drive CDP market
                                   TABLE 139 GERMANY: MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                                   TABLE 140 GERMANY: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 141 GERMANY: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                                   TABLE 142 GERMANY: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                                   TABLE 143 GERMANY: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                                   TABLE 144 GERMANY: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
             13.3.5 FRANCE
                       13.3.5.1 Growing concerns of CDP vendors over managing data across key sectors to drive market
                                   TABLE 145 FRANCE: CUSTOMER DATA PLATFORM MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                                   TABLE 146 FRANCE: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 147 FRANCE: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                                   TABLE 148 FRANCE: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                                   TABLE 149 FRANCE: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                                   TABLE 150 FRANCE: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
             13.3.6 REST OF EUROPE
     13.4 ASIA PACIFIC 
             13.4.1 ASIA PACIFIC: MARKET DRIVERS
             13.4.2 RECESSION IMPACT: ASIA PACIFIC
                       FIGURE 41 ASIA PACIFIC: MARKET SNAPSHOT
                       TABLE 151 ASIA PACIFIC: CUSTOMER DATA PLATFORM MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                       TABLE 152 ASIA PACIFIC: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                       TABLE 153 ASIA PACIFIC: MARKET, BY SERVICE,  2016–2021 (USD MILLION)
                       TABLE 154 ASIA PACIFIC: MARKET, BY SERVICE,  2022–2027 (USD MILLION)
                       TABLE 155 ASIA PACIFIC: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                       TABLE 156 ASIA PACIFIC: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                       TABLE 157 ASIA PACIFIC: MARKET, BY DATA CHANNEL,  2016–2021 (USD MILLION)
                       TABLE 158 ASIA PACIFIC: MARKET, BY DATA CHANNEL,  2022–2027 (USD MILLION)
                       TABLE 159 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE,  2016–2021 (USD MILLION)
                       TABLE 160 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD MILLION)
                       TABLE 161 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE,  2016–2021 (USD MILLION)
                       TABLE 162 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD MILLION)
                       TABLE 163 ASIA PACIFIC: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                       TABLE 164 ASIA PACIFIC: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
                       TABLE 165 ASIA PACIFIC: MARKET, BY COUNTRY,  2016–2021 (USD MILLION)
                       TABLE 166 ASIA PACIFIC: MARKET, BY COUNTRY,  2022–2027 (USD MILLION)
             13.4.3 CHINA
                       13.4.3.1 Growing need to effectively manage huge amounts of data to boost demand
                                   TABLE 167 CHINA: CUSTOMER DATA PLATFORM MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                                   TABLE 168 CHINA: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 169 CHINA: MARKET, BY APPLICATION,  2016–2021(USD MILLION)
                                   TABLE 170 CHINA: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                                   TABLE 171 CHINA: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                                   TABLE 172 CHINA: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
             13.4.4 JAPAN
                       13.4.4.1 Growing adoption of CDP to handle rising data to help gain key insights across major verticals
                                   TABLE 173 JAPAN: MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                                   TABLE 174 JAPAN: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 175 JAPAN: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                                   TABLE 176 JAPAN: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                                   TABLE 177 JAPAN: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                                   TABLE 178 JAPAN: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
             13.4.5 INDIA
                       13.4.5.1 Increasing government initiatives and innovative technologies to fuel demand for CDPs
                                   TABLE 179 INDIA: CUSTOMER DATA PLATFORM MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                                   TABLE 180 INDIA: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 181 INDIA: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                                   TABLE 182 INDIA: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                                   TABLE 183 INDIA: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                                   TABLE 184 INDIA: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
             13.4.6 AUSTRALIA
                       13.4.6.1 Increasing adoption of CDP solutions among diverse verticals to drive market
                                   TABLE 185 AUSTRALIA: MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                                   TABLE 186 AUSTRALIA: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 187 AUSTRALIA: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                                   TABLE 188 AUSTRALIA: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                                   TABLE 189 AUSTRALIA: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                                   TABLE 190 AUSTRALIA: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
             13.4.7 REST OF ASIA PACIFIC
     13.5 MIDDLE EAST & AFRICA 
             13.5.1 MIDDLE EAST & AFRICA: CUSTOMER DATA PLATFORM MARKET DRIVERS
             13.5.2 RECESSION IMPACT: MIDDLE EAST & AFRICA
                       TABLE 191 MIDDLE EAST & AFRICA: MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                       TABLE 192 MIDDLE EAST & AFRICA: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                       TABLE 193 MIDDLE EAST & AFRICA: MARKET, BY SERVICE,  2016–2021 (USD MILLION)
                       TABLE 194 MIDDLE EAST & AFRICA: MARKET, BY SERVICE,  2022–2027 (USD MILLION)
                       TABLE 195 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                       TABLE 196 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                       TABLE 197 MIDDLE EAST & AFRICA: MARKET, BY DATA CHANNEL, 2016–2021 (USD MILLION)
                       TABLE 198 MIDDLE EAST & AFRICA: MARKET, BY DATA CHANNEL, 2022–2027 (USD MILLION)
                       TABLE 199 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION)
                       TABLE 200 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
                       TABLE 201 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION)
                       TABLE 202 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
                       TABLE 203 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                       TABLE 204 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
                       TABLE 205 MIDDLE EAST & AFRICA: MARKET, BY REGION,  2016–2021 (USD MILLION)
                       TABLE 206 MIDDLE EAST & AFRICA: MARKET, BY REGION,  2022–2027 (USD MILLION)
             13.5.3 MIDDLE EAST
                       13.5.3.1 Growing inclination toward advanced technologies to propel market growth
                                   TABLE 207 MIDDLE EAST: CUSTOMER DATA PLATFORM MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                                   TABLE 208 MIDDLE EAST: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 209 MIDDLE EAST: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                                   TABLE 210 MIDDLE EAST: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                                   TABLE 211 MIDDLE EAST: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                                   TABLE 212 MIDDLE EAST: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
             13.5.4 AFRICA
                       13.5.4.1 Rising investments by CDP vendors in South Africa to expedite market growth
                                   TABLE 213 AFRICA: MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                                   TABLE 214 AFRICA: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 215 AFRICA: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                                   TABLE 216 AFRICA: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                                   TABLE 217 AFRICA: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                                   TABLE 218 AFRICA: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
     13.6 LATIN AMERICA 
             13.6.1 LATIN AMERICA: CUSTOMER DATA PLATFORM MARKET DRIVERS
             13.6.2 RECESSION IMPACT: LATIN AMERICA
                       TABLE 219 LATIN AMERICA:MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                       TABLE 220 LATIN AMERICA: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                       TABLE 221 LATIN AMERICA: MARKET, BY SERVICE,  2016–2021 (USD MILLION)
                       TABLE 222 LATIN AMERICA: MARKET, BY SERVICE,  2022–2027 (USD MILLION)
                       TABLE 223 LATIN AMERICA: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                       TABLE 224 LATIN AMERICA:  MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                       TABLE 225 LATIN AMERICA: MARKET, BY DATA CHANNEL,  2016–2021 (USD MILLION)
                       TABLE 226 LATIN AMERICA: MARKET, BY DATA CHANNEL,  2022–2027 (USD MILLION)
                       TABLE 227 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION)
                       TABLE 228 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE,  2022–2027 (USD MILLION)
                       TABLE 229 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE,  2016–2021 (USD MILLION)
                       TABLE 230 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE,  2022–2027 (USD MILLION)
                       TABLE 231 LATIN AMERICA: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                       TABLE 232 LATIN AMERICA: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
                       TABLE 233 LATIN AMERICA: MARKET, BY COUNTRY,  2016–2021 (USD MILLION)
                       TABLE 234 LATIN AMERICA: MARKET, BY COUNTRY,  2022–2027 (USD MILLION)
             13.6.3 BRAZIL
                       13.6.3.1 Brazil to incorporate CDP solutions and services and increase business across major verticals
                                   TABLE 235 BRAZIL: CUSTOMER DATA PLATFORM MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                                   TABLE 236 BRAZIL: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 237 BRAZIL: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                                   TABLE 238 BRAZIL: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                                   TABLE 239 BRAZIL: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                                   TABLE 240 BRAZIL: MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
             13.6.4 MEXICO
                       13.6.4.1 Growing adoption of advanced technologies to drive CDP market growth
                                   TABLE 241 MEXICO: MARKET, BY COMPONENT,  2016–2021 (USD MILLION)
                                   TABLE 242 MEXICO: MARKET, BY COMPONENT,  2022–2027 (USD MILLION)
                                   TABLE 243 MEXICO: MARKET, BY APPLICATION,  2016–2021 (USD MILLION)
                                   TABLE 244 MEXICO: MARKET, BY APPLICATION,  2022–2027 (USD MILLION)
                                   TABLE 245 MEXICO: MARKET, BY VERTICAL,  2016–2021 (USD MILLION)
                                   TABLE 246 MEXICO: CUSTOMER DATA PLATFORM MARKET, BY VERTICAL,  2022–2027 (USD MILLION)
             13.6.5 REST OF LATIN AMERICA
 
14 COMPETITIVE LANDSCAPE (Page No. - 217)
     14.1 OVERVIEW 
     14.2 STRATEGIES ADOPTED BY KEY PLAYERS 
               TABLE 247 OVERVIEW OF STRATEGIES ADOPTED BY KEY CDP VENDORS
     14.3 REVENUE ANALYSIS 
             14.3.1 HISTORICAL REVENUE ANALYSIS
                       FIGURE 42 HISTORICAL REVENUE ANALYSIS OF LEADING PLAYERS,  2017–2021 (USD MILLION)
     14.4 MARKET SHARE ANALYSIS 
               FIGURE 43 MARKET SHARE ANALYSIS FOR KEY COMPANIES IN 2022
               TABLE 248 CDP MARKET: DEGREE OF COMPETITION
     14.5 MARKET EVALUATION FRAMEWORK 
               FIGURE 44 MARKET EVALUATION FRAMEWORK: EXPANSIONS AND CONSOLIDATIONS DURING 2019-2022
     14.6 COMPANY EVALUATION QUADRANT 
             14.6.1 STARS
             14.6.2 EMERGING LEADERS
             14.6.3 PERVASIVE PLAYERS
             14.6.4 PARTICIPANTS
                       FIGURE 45 CUSTOMER DATA PLATFORM MARKET:  COMPANY EVALUATION QUADRANT, 2022
     14.7 COMPETITIVE BENCHMARKING 
                       TABLE 249 COMPANY FOOTPRINT, BY APPLICATION
                       TABLE 250 COMPANY FOOTPRINT, BY REGION
     14.8 STARTUP/SME EVALUATION QUADRANT 
             14.8.1 PROGRESSIVE COMPANIES
             14.8.2 RESPONSIVE COMPANIES
             14.8.3 DYNAMIC COMPANIES
             14.8.4 STARTING BLOCKS
                       FIGURE 46 MARKET, STARTUP/SMES EVALUATION QUADRANT
     14.9 STARTUP/SMES COMPETITIVE BENCHMARKING 
               TABLE 251 MARKET: DETAILED LIST OF KEY STARTUPS/SMES
               TABLE 252 MARKET:  COMPETITIVE BENCHMARKING OF STARTUPS/SMES
     14.10 COMPETITIVE SCENARIO AND TRENDS 
               14.10.1 PRODUCT LAUNCHES
                          TABLE 253 SERVICE/PRODUCT LAUNCHES, 2019–2022
               14.10.2 DEALS
                          TABLE 254 DEALS, 2019–2022
 
15 COMPANY PROFILES (Page No. - 240)
     15.1 INTRODUCTION 
     15.2 KEY PLAYERS 
(Business Overview, Solutions, Products & Services offered, Recent Developments, MnM View)*
             15.2.1 ORACLE
                       TABLE 255 ORACLE: BUSINESS OVERVIEW
                       FIGURE 47 ORACLE: COMPANY SNAPSHOT
                       TABLE 256 ORACLE: PRODUCTS OFFERED
                       TABLE 257 ORACLE: SERVICES OFFERED
                       TABLE 258 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 259 ORACLE: DEALS
             15.2.2 SAP
                       TABLE 260 SAP: BUSINESS OVERVIEW
                       FIGURE 48 SAP: COMPANY SNAPSHOT
                       TABLE 261 SAP: PRODUCTS OFFERED
                       TABLE 262 SAP: SERVICES OFFERED
                       TABLE 263 SAP: RECENT DEVELOPMENTS
                       TABLE 264 SAP: DEALS
             15.2.3 ADOBE
                       TABLE 265 ADOBE: BUSINESS OVERVIEW
                       FIGURE 49 ADOBE: COMPANY SNAPSHOT
                       TABLE 266 ADOBE: PRODUCTS OFFERED
                       TABLE 267 ADOBE: SERVICES OFFERED
                       TABLE 268 ADOBE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 269 ADOBE: DEALS
             15.2.4 SALESFORCE
                       TABLE 270 SALESFORCE: BUSINESS OVERVIEW
                       FIGURE 50 SALESFORCE: COMPANY SNAPSHOT
                       TABLE 271 SALESFORCE: PRODUCTS OFFERED
                       TABLE 272 SALESFORCE: SERVICES OFFERED
                       TABLE 273 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 274 SALESFORCE: DEALS
             15.2.5 TWILIO SEGMENT
                       TABLE 275 TWILIO SEGMENT: BUSINESS OVERVIEW
                       FIGURE 51 TWILIO SEGMENT: COMPANY SNAPSHOT
                       TABLE 276 TWILIO SEGMENT: PRODUCTS OFFERED
                       TABLE 277 TWILIO SEGMENT: DEALS
             15.2.6 MICROSOFT
                       TABLE 278 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 52 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 279 MICROSOFT: PRODUCTS OFFERED
                       TABLE 280 MICROSOFT: SERVICES OFFERED
                       TABLE 281 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 282 MICROSOFT: DEALS
             15.2.7 SAS INSTITUTE
                       TABLE 283 SAS: BUSINESS OVERVIEW
                       FIGURE 53 SAS: COMPANY SNAPSHOT
                       TABLE 284 SAS: PRODUCTS OFFERED
                       TABLE 285 SAS: SERVICES OFFERED
                       TABLE 286 SAS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 287 SAS: DEALS
             15.2.8 TERADATA
                       TABLE 288 TERADATA: BUSINESS OVERVIEW
                       FIGURE 54 TERADATA: COMPANY SNAPSHOT
                       TABLE 289 TERADATA: PRODUCTS OFFERED
                       TABLE 290 TERADATA: SERVICES OFFERED
                       TABLE 291 TERADATA: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 292 TERADATA: DEALS
             15.2.9 CLOUDERA
                       TABLE 293 CLOUDERA: BUSINESS OVERVIEW
                       FIGURE 55 CLOUDERA: COMPANY SNAPSHOT
                       TABLE 294 CLOUDERA: PRODUCTS OFFERED
                       TABLE 295 CLOUDERA: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 296 CLOUDERA: DEALS
             15.2.10 NICE
                       TABLE 297 NICE: BUSINESS OVERVIEW
                       FIGURE 56 NICE: COMPANY SNAPSHOT
                       TABLE 298 NICE: PRODUCTS OFFERED
                       TABLE 299 NICE: SERVICES OFFERED
                       TABLE 300 NICE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 301 NICE: DEALS
             15.2.11 DUN & BRADSTREET
                       TABLE 302 DUN & BRADSTREET: BUSINESS OVERVIEW
                       TABLE 303 DUN & BRADSTREET: PRODUCTS OFFERED
                       TABLE 304 DUN & BRADSTREET: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 305 DUN & BRADSTREET: DEALS
             15.2.12 LEADSPACE
                       TABLE 306 LEADSPACE: BUSINESS OVERVIEW
                       TABLE 307 LEADSPACE: PRODUCTS OFFERED
                       TABLE 308 LEADSPACE: SERVICES OFFERED
                       TABLE 309 LEADSPACE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 310 LEADSPACE: DEALS
             15.2.13 UPLAND SOFTWARE
                       TABLE 311 UPLAND SOFTWARE: BUSINESS OVERVIEW
                       FIGURE 57 UPLAND SOFTWARE: COMPANY SNAPSHOT
                       15.2.13.2 Platforms/Solutions/Services offered
                                   TABLE 312 UPLAND SOFTWARE: PRODUCTS OFFERED
                                   TABLE 313 UPLAND SOFTWARE: SERVICES OFFERED
                                   TABLE 314 UPLAND SOFTWARE: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 315 UPLAND SOFTWARE: DEALS
             15.2.14 CALIBERMIND
                       TABLE 316 CALIBERMIND: BUSINESS OVERVIEW
                       TABLE 317 CALIBERMIND: PRODUCTS OFFERED
                       TABLE 318 CALIBERMIND: SERVICES OFFERED
                       TABLE 319 CALIBERMIND: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 320 CALIBERMIND: DEALS
             15.2.15 CELEBRUS (D4T4 SOLUTIONS)
                       TABLE 321 CELEBRUS (D4T4 SOLUTIONS): BUSINESS OVERVIEW
                       TABLE 322 CELEBRUS (D4T4 SOLUTIONS): PRODUCTS OFFERED
                       TABLE 323 CELEBRUS (D4T4 SOLUTIONS): PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 324 CELEBRUS (D4T4 SOLUTIONS): DEALS
             15.2.16 TEALIUM
                       TABLE 325 TEALIUM: BUSINESS OVERVIEW
                       TABLE 326 TEALIUM: PRODUCTS OFFERED
                       TABLE 327 TEALIUM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 328 TEALIUM: DEALS
             15.2.17 ACQUIA
                       TABLE 329 ACQUIA: BUSINESS OVERVIEW
                       TABLE 330 ACQUIA: PRODUCTS OFFERED
                       TABLE 331 ACQUIA: SERVICES OFFERED
                       TABLE 332 ACQUIA: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 333 ACQUIA: DEALS
             15.2.18 BLUECONIC
                       TABLE 334 BLUECONIC: BUSINESS OVERVIEW
                       TABLE 335 BLUECONIC: PRODUCTS OFFERED
                       TABLE 336 BLUECONIC: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 337 BLUECONIC: DEALS
             15.2.19 LYTICS
                       TABLE 338 LYTICS: BUSINESS OVERVIEW
                       TABLE 339 LYTICS: PRODUCTS OFFERED
                       TABLE 340 LYTICS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 341 LYTICS: DEALS
             15.2.20 ZETA GLOBAL
                       TABLE 342 ZETA GLOBAL: BUSINESS OVERVIEW
                       TABLE 343 ZETA GLOBAL: PRODUCTS OFFERED
                       TABLE 344 ZETA GLOBAL: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 345 ZETA GLOBAL: DEALS
             15.2.21 AMPERITY
                       TABLE 346 AMPERITY: BUSINESS OVERVIEW
                       TABLE 347 AMPERITY: PRODUCTS OFFERED
                       TABLE 348 AMPERITY: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 349 AMPERITY: DEALS
     15.3 OTHER KEY PLAYERS 
             15.3.1 OPTIMOVE
             15.3.2 TOTANGO
             15.3.3 INSIDER
             15.3.4 LISTRAK
             15.3.5 SIMON DATA
             15.3.6 OMETRIA
             15.3.7 TREASURE DATA
             15.3.8 SALESMANAGO
             15.3.9 ACTIONIQ
             15.3.10 ZEOTAP
             15.3.11 PLANHAT
             15.3.12 BLUESHIFT
             15.3.13 QUANTEXA
*Details on Business Overview, Solutions, Products & Services offered, Recent Developments, MnM View might not be captured in case of unlisted companies.
 
16 ADJACENT/RELATED MARKETS (Page No. - 306)
     16.1 INTRODUCTION 
     16.2 CUSTOMER JOURNEY ANALYTICS MARKET -  GLOBAL FORECAST TO 2026 
             16.2.1 MARKET DEFINITION
             16.2.2 MARKET OVERVIEW
                       16.2.2.1 Customer journey analytics market, by component
                                   TABLE 350 CUSTOMER JOURNEY ANALYTICS MARKET, BY COMPONENT, 2015–2019 (USD MILLION)
                                   TABLE 351 CUSTOMER JOURNEY ANALYTICS MARKET, BY COMPONENT, 2020–2026 (USD MILLION)
                       16.2.2.2 Customer journey analytics market, by application
                                   TABLE 352 CUSTOMER JOURNEY ANALYTICS MARKET, BY APPLICATION, 2015–2019 (USD MILLION)
                                   TABLE 353 CUSTOMER JOURNEY ANALYTICS MARKET, BY APPLICATION, 2020–2026 (USD MILLION)
                       16.2.2.3 Customer journey analytics market, by deployment mode
                                   TABLE 354 CUSTOMER JOURNEY ANALYTICS MARKET, BY DEPLOYMENT MODE,  2015–2019 (USD MILLION)
                                   TABLE 355 CUSTOMER JOURNEY ANALYTICS MARKET, BY DEPLOYMENT MODE,  2020–2026 (USD MILLION)
                       16.2.2.4 Customer journey analytics market, by organization size
                                   TABLE 356 CUSTOMER JOURNEY ANALYTICS MARKET, BY ORGANIZATION SIZE,  2015–2019 (USD MILLION)
                                   TABLE 357 CUSTOMER JOURNEY ANALYTICS MARKET, BY ORGANIZATION SIZE,  2020–2026 (USD MILLION)
                       16.2.2.5 Customer journey analytics market, by vertical
                                   TABLE 358 CUSTOMER JOURNEY ANALYTICS MARKET, BY VERTICAL, 2015–2019 (USD MILLION)
                                   TABLE 359 CUSTOMER JOURNEY ANALYTICS MARKET, BY VERTICAL, 2020–2026 (USD MILLION)
                       16.2.2.6 Customer journey analytics market, by region
                                   TABLE 360 CUSTOMER JOURNEY ANALYTICS MARKET, BY REGION, 2015–2019 (USD MILLION)
                                   TABLE 361 CUSTOMER JOURNEY ANALYTICS MARKET, BY REGION, 2020–2026 (USD MILLION)
     16.3 CUSTOMER ANALYTICS MARKET - GLOBAL FORECAST TO 2025 
             16.3.1 MARKET DEFINITION
             16.3.2 MARKET OVERVIEW
                       TABLE 362 CUSTOMER ANALYTICS MARKET SIZE AND GROWTH, 2018–2025 (USD MILLION, Y-O-Y %)
                       16.3.2.1 Customer analytics market, by component
                                   TABLE 363 CUSTOMER ANALYTICS MARKET, BY COMPONENT, 2018–2025 (USD MILLION)
                       16.3.2.2 Customer analytics market, by deployment mode
                                   TABLE 364 CUSTOMER ANALYTICS MARKET, BY DEPLOYMENT MODE, 2018–2025 (USD MILLION)
                       16.3.2.3 Customer analytics market, by organization size
                                   TABLE 365 CUSTOMER ANALYTICS MARKET, BY ORGANIZATION SIZE, 2018–2025 (USD MILLION)
                       16.3.2.4 Customer analytics market, by application
                                   TABLE 366 CUSTOMER ANALYTICS MARKET, BY APPLICATION, 2018–2025 (USD MILLION)
                       16.3.2.5 Customer analytics market, by data source
                                   TABLE 367 CUSTOMER ANALYTICS MARKET, BY DATA SOURCE, 2018–2025 (USD MILLION)
                       16.3.2.6 Customer analytics market, by industry vertical
                                   TABLE 368 CUSTOMER ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2018–2025 (USD MILLION)
                       16.3.2.7 Customer analytics market, by region
                                   TABLE 369 CUSTOMER ANALYTICS MARKET, BY REGION, 2018–2025 (USD MILLION)
     16.4 RETAIL ANALYTICS MARKET - GLOBAL FORECAST TO 2025 
             16.4.1 MARKET DEFINITION
             16.4.2 MARKET OVERVIEW
                       TABLE 370 RETAIL ANALYTICS MARKET SIZE AND GROWTH RATE,  2016–2019 (USD MILLION, Y-O-Y %)
                       TABLE 371 RETAIL ANALYTICS MARKET SIZE AND GROWTH RATE,  2019–2025 (USD MILLION, Y-O-Y %)
                       16.4.2.1 Retail analytics market, by component
                                   TABLE 372 RETAIL ANALYTICS MARKET, BY COMPONENT, 2016–2019 (USD MILLION)
                                   TABLE 373 RETAIL ANALYTICS MARKET, BY COMPONENT, 2019–2025 (USD MILLION)
                       16.4.2.2 Retail analytics market, by business function
                                   TABLE 374 RETAIL ANALYTICS MARKET, BY BUSINESS FUNCTION, 2016–2019 (USD MILLION)
                                   TABLE 375 RETAIL ANALYTICS MARKET, BY BUSINESS FUNCTION, 2019–2025 (USD MILLION)
                       16.4.2.3 Retail analytics market, by application
                                   TABLE 376 RETAIL ANALYTICS MARKET, BY APPLICATION, 2016–2019 (USD MILLION)
                                   TABLE 377 RETAIL ANALYTICS MARKET, BY APPLICATION, 2019–2025 (USD MILLION)
                       16.4.2.4 Retail analytics market, by organization size
                                   TABLE 378 RETAIL ANALYTICS MARKET, BY ORGANIZATION SIZE, 2016–2019 (USD MILLION)
                                   TABLE 379 RETAIL ANALYTICS MARKET, BY ORGANIZATION SIZE, 2019–2025 (USD MILLION)
                       16.4.2.5 Retail analytics market, by end user
                                   TABLE 380 RETAIL ANALYTICS MARKET, BY END USER, 2016–2019 (USD MILLION)
                                   TABLE 381 RETAIL ANALYTICS MARKET, BY END USER, 2019–2025 (USD MILLION)
                       16.4.2.6 Retail analytics market, by region
                                   TABLE 382 RETAIL ANALYTICS MARKET, BY REGION, 2016–2019 (USD MILLION)
                                   TABLE 383 RETAIL ANALYTICS MARKET, BY REGION, 2019–2025 (USD MILLION)
 
17 APPENDIX (Page No. - 325)
     17.1 DISCUSSION GUIDE 
     17.2 KNOWLEDGESTORE: MARKETSANDMARKETS’  SUBSCRIPTION PORTAL 
     17.3 CUSTOMIZATION OPTIONS 
     17.4 RELATED REPORTS 
     17.5 AUTHOR DETAILS 

The research study for the CDP market report involved the use of extensive secondary sources, directories, as well as several journals and magazines to identify and collect information that is useful for this technical and market-oriented study. During the production cycle of the report, in-depth interviews were conducted with various primary respondents, including key opinion leaders, subject-matter experts, high-level executives of various companies offering CDP solutions and services, and industry consultants, to obtain and verify critical qualitative and quantitative information, as well as assess the market prospects and industry trends.

Secondary Research

In the secondary research process, various sources were referred to, for identifying and collecting information for the study. The secondary sources included annual reports, press releases, investor presentations of companies; white papers; journals; and certified publications and articles from recognized authors, directories, and databases. Secondary research was used to obtain key information about the industry’s value chain and supply chain to identify the key players according to their offerings and industry trends related to technology, application, and region, and key developments from both market and technology-oriented perspectives.

Primary Research

Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief X Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from customer data platform solution vendors, system integrators, professional service providers, industry associations, and consultants; and key opinion leaders. All parameters that affect the market 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.

The following is the breakup of primary profiles:

Customer Data Platform Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Top-down and bottom-up approaches were used to estimate and validate the size of the global CDP market and various other dependent subsegments. The research methodology used to estimate the market size included the following details: the key players not limited to Oracle, SAP, Adobe, Salesforce, Microsoft, SAS Institute, Teradata, and Nice in the market were identified through extensive secondary research, and their revenue contribution in the respective regions were determined through primary and secondary research. The entire procedure included studying the annual and financial reports of top market players and extensive interviews for key insights from industry leaders, such as CEOs, VPs, directors, and marketing executives. All percentage splits and breakups were determined using secondary sources and verified through primary sources.

All the possible parameters that affect the market covered in the research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The data is consolidated and added with detailed inputs and analysis from MarketsandMarkets.

  • The pricing trend is assumed to vary over time.
  • All the forecasts are made with the standard assumption that the accepted currency is USD.
  • For converting various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service's website is used.
  • All the forecasts are made under the standard assumption that the globally accepted currency USD remains constant during the next five years.
  • Vendor-side analysis: The market size estimates of associated solutions and services are factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors in the market.

Demand/end-user analysis: End users operating in verticals across regions are analyzed in terms of market spending on CDP solutions based on some key use cases. These factors for the CDP industry per region are separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor is derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, startup ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Report Objectives

  • To define, describe, and predict the customer data platform market by component (platform and services), professional service, organization size, data channel, capability, deployment mode, application, vertical, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the customer data platform market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic Analysis

  • Further breakup of the North American customer data platform market
  • Further breakup of the European market
  • Further breakup of the APAC market
  • Further breakup of the Latin American market
  • Further breakup of the MEA market

Company Information

  • Detailed analysis and profiling of additional market players up to 5
Report Code
TC 6601
Published ON
Dec, 2022
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