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市場調查報告書

商品編碼

1845975

全球客戶資料平台市場規模（按類型、應用、區域覆蓋和預測）

Global Customer Data Platform Market Size By Type (Cloud Based, On-Premises), By Application (Large Enterprises, SMEs), By Geographic Scope and Forecast

出版日期: 2025年09月05日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

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簡介目錄

客戶數據平台市場規模與預測

預計 2023 年客戶數據平台市場規模將達到 178 億美元，到 2031 年將達到 647 億美元，2026 年至 2032 年的複合年成長率為 19.30%。

客戶資料平台 (CDP) 是一種軟體，它可以集中並統一來自不同來源的客戶數據，從而為每個客戶創建單一、全面且持久的視圖。其他行銷和業務系統可以存取這個「單一事實來源」。

客戶數據平台市場定義具有以下關鍵特性：

核心功能：CDP 的主要目的是從所有可用管道（線上和線下）收集並整合客戶資料。這包括行為資料（網站點擊、應用程式使用）、交易資料（購買、退貨）和人口統計資料（聯絡資訊、位置）。

統一客戶檔案：一項關鍵功能是能夠將來自不同系統（CRM、電子郵件行銷、網路分析等）的不同資料點「拼接」在一起，為每個客戶建立單一、一致的檔案。這個過程稱為身份解析，它將已知客戶的資料（例如電子郵件地址）與匿名資料（例如 Cookie ID）關聯起來，從而提供全方位的視圖。

第一方資料重點：CDP 主要用於處理公司直接從客戶收集的第一方資料訊息，使公司能夠更好地控制其資料並加強隱私合規性。

可供其他系統存取：儲存在 CDP 中的資料結構易於被公司技術堆疊中的其他工具存取和操作，從而允許負責人、銷售團隊和客戶服務部門將統一資料用於多種用途。

市場促進因素：CDP 市場成長受多種因素驅動，包括：

每個接觸點對個人化客戶體驗的需求日益成長。

由於資料隱私法規的不斷發展（例如 GDPR 和 CCPA）以及第三方 cookie 的棄用，人們開始轉向第一方資料主導策略。

全通路行銷策略的日益普及需要統一的客戶視角來提供一致且相關的體驗。

與其他技術的差異：區分 CDP 與其他資料相關技術非常重要：

資料管理平台 (DMP)：DMP 通常用於廣告，專注於在短時間內收集匿名的第三方資料。

客戶關係管理 (CRM) 系統：CRM 旨在管理與已知和潛在客戶的銷售和客戶服務互動。

行銷自動化平台 (MAP)：MAP 可自動化行銷工作流程，但可能不具備 CDP 的資料整合或身分解析功能。

全球客戶數據平台市場促進因素

隨著企業尋求在快速發展的數位環境中有效地管理和利用其客戶數據，客戶數據平台 (CDP) 市場的成長受到幾個關鍵因素的推動。

個人化客戶體驗需求：當今的消費者期望在所有管道中獲得個人化、相關且一致的體驗。 CDP 的核心功能是匯總來自各種來源（網站、行動應用程式、社交媒體、CRM 等）的數據，以建立統一的即時客戶檔案。這種單一的客戶視圖使公司能夠提供高度客製化的行銷宣傳活動、產品推薦和客戶服務，最終提高客戶參與、忠誠度和客戶維繫。

數位轉型和全通路行銷的成長：隨著企業轉向更數據主導和以客戶為中心的模式，他們正在採用全通路行銷策略。這種方法需要一個能夠整合來自不同線上線下接觸點的數據並協調無縫客戶旅程的平台。 CDP 提供了管理這些複雜數據所需的基礎設施，使其成為數位轉型和全通路計畫成功的關鍵。

第三方 Cookie 的衰退：隨著主流瀏覽器逐步淘汰第三方 Cookie，負責人正在失去追蹤和定位消費者的關鍵工具。這種轉變迫使企業更加依賴自己的第一方資料。 CDP 是收集、管理和啟動這些寶貴第一方資料的理想解決方案，使企業能夠維持個人化行銷和衡量行銷宣傳活動成效的能力。

不斷發展的資料隱私法規：GDPR 和 CCPA 等資料隱私法規的激增，迫使企業在處理客戶資料方面更加透明且合規。 CDP 憑藉其資料管治、同意管理和合規功能，可以幫助企業應對這些複雜的法律要求，並建立客戶信任。

人工智慧和機器學習的進步：人工智慧和機器學習與CDP的整合是主要的成長動力。這些技術使CDP能夠超越簡單的資料整合，實現預測分析、自動受眾細分和即時行為定位，使企業能夠更有效率、更準確地預測客戶需求並最佳化行銷工作。

資料量和複雜性不斷增加：數位互動（社群媒體、電商、物聯網設備等）產生的資料量龐大，種類繁多，令傳統系統難以承受。 CDP 提供技術來提取、清理和建立這些大量數據，使其可供負責人、分析師和其他業務用戶操作。

雲端基礎的解決方案：雲端處理的興起使得 CDP 更易於存取和擴展。雲端基礎的CDP 為管理和分析大型資料集提供了一種經濟高效、靈活且快速的解決方案，因此對各種規模的企業（包括中小型企業）都極具吸引力。

限制全球客戶數據平台市場的因素

客戶資料平台 (CDP) 市場正在經歷顯著成長，這得益於對個人化客戶體驗的需求不斷成長以及企業利用大量客戶資料的需求，但一些關鍵的限制和挑戰限制了其潛力。

資料隱私與法規遵循：這是最重要且最複雜的限制之一。全球日益嚴格的資料隱私法，例如歐洲的《一般資料保護規則》（GDPR）和美國的《加州消費者隱私法案》（CCPA），構成了重大障礙。這些法規要求公司獲得用戶的明確同意，賦予用戶「被遺忘權」（資料刪除權），並確保強而有力的資料管治。對於集中管理來自多個來源的資料的雲端資料平台 (CDP) 而言，在不同司法管轄區遵守這些法律是一項複雜且耗費資源的任務。違規可能導致嚴厲的處罰和聲譽損害，這使得一些組織不願意採用雲端資料平台 (CDP)。

高昂的實施和維修成本：CDP 需要大量的資金投入，不僅包括軟體本身，還包括實施、與現有舊有系統的整合以及持續維護。對於那些不具備大型企業那樣的預算或技術資源的中小型企業 (SME) 來說，這可能是一個重大障礙。

整合複雜性和供應商鎖定：將新的 CDP 與公司現有的技術堆疊（包括 CRM、行銷自動化和電商平台）整合可能是一個複雜而艱難的過程。許多傳統或封閉式平台的 CDP 可能導致“供應商鎖定”，即公司過度依賴單一供應商，限制了其靈活性，並使未來難以切換到其他解決方案或整合新技術。

缺乏熟練的專業人員：有效使用 CDP 需要資料科學、分析、行銷等領域的專業技能。目前，能夠妥善管理、分析並從 CDP 整合的大量資料集中獲取價值的專業人員短缺。這種人才缺口可能會阻礙企業最大限度地利用其 CDP 投資。

資料品質和完整性：CDP 的品質取決於其接收的資料。許多企業都面臨著數據品質低落的問題，包括數據過時、混亂和不完整。當「不良資料」輸入 CDP 時，其產生的統一客戶資料和洞察將不準確，從而降低該平台在個人化和行銷方面的效率。

市場混亂：由於「客戶資料平台」是一個相對較新且不斷發展的類別，其用途有時會與其他技術（例如資料管理平台 (DMP) 和客戶關係管理 (CRM) 系統）混淆。這種缺乏明確性可能會導致潛在買家產生困惑，並降低採用率。

Unified Customer Profiles: A key feature is its ability to "stitch together" disparate data points from different systems (e.g., CRM, email marketing, web analytics) to build a single, coherent profile for each individual customer. This process, known as identity resolution, links data from known customers (like an email address) with anonymous data (like a cookie ID) to provide a 360 degree view.

First Party Data Focus: CDPs are primarily designed to work with first party data information that a company collects directly from its customers. This gives businesses greater control over their data, enhances privacy compliance, and is becoming increasingly important with the decline of third party cookies.

Accessibility for Other Systems: The data stored in a CDP is structured to be easily accessible and actionable for other tools in a company's technology stack. This allows marketers, sales teams, and customer service departments to use the unified data for a variety of purposes.

Market Drivers: The growth of the CDP market is fueled by several factors, including:

The increasing need for personalized customer experiences across all touchpoints.

The shift to a first party data driven strategy due to evolving data privacy regulations (like GDPR and CCPA) and the deprecation of third party cookies.

The growing adoption of omnichannel marketing strategies, which require a unified view of the customer to deliver consistent and relevant experiences.

Distinction from other technologies: It's important to differentiate a CDP from other data related technologies:

Data Management Platforms (DMPs): DMPs are typically used for advertising and focus on collecting anonymous, third party data for a short period.

Customer Relationship Management (CRM) systems: CRMs are designed to manage sales and customer service interactions with known customers and prospects.

Marketing Automation Platforms (MAPs): MAPs automate marketing workflows but may not have the same data unification and identity resolution capabilities as a CDP.

Global Customer Data Platform Market Drivers

The growth of the Customer Data Platform (CDP) market is driven by several key factors as businesses seek to effectively manage and leverage their customer data in a rapidly evolving digital landscape.

Demand for Personalized Customer Experiences: Consumers today expect personalized, relevant, and consistent experiences across all channels. A CDP's core function is to create a unified, real time customer profile by aggregating data from various sources (e.g., website, mobile app, social media, CRM). This single view of the customer enables businesses to deliver highly tailored marketing campaigns, product recommendations, and customer service, which in turn drives customer engagement, loyalty, and retention.

Growth of Digital Transformation and Omnichannel Marketing: As businesses shift to more data driven and customer centric models, they are adopting omnichannel marketing strategies. This approach requires a platform that can unify data from disparate online and offline touchpoints to orchestrate seamless customer journeys. CDPs provide the necessary infrastructure to manage this complex data, making them essential for successful digital transformation and omnichannel efforts.

The Decline of Third Party Cookies: With major browsers phasing out third party cookies, marketers are losing a key tool for tracking and targeting consumers. This shift has created an urgent need for companies to rely on their own first party data. CDPs are the ideal solution for collecting, managing, and activating this valuable first party data, allowing businesses to maintain their ability to personalize marketing and measure campaign effectiveness.

Evolving Data Privacy Regulations: The proliferation of data privacy regulations like GDPR and CCPA has put pressure on businesses to be more transparent and compliant in how they handle customer data. CDPs are designed with features for data governance, consent management, and compliance, helping organizations navigate these complex legal requirements and build customer trust.

Advancements in AI and Machine Learning: The integration of AI and ML into CDPs is a major growth driver. These technologies empower CDPs to do more than just unify data; they enable predictive analytics, automated audience segmentation, and real time behavioral targeting. This allows businesses to anticipate customer needs and optimize their marketing efforts with greater efficiency and accuracy.

Increasing Data Volume and Complexity: The sheer volume and variety of data generated from digital interactions (e.g., social media, e-commerce, IoT devices) are overwhelming for traditional systems. A CDP provides the technology to ingest, cleanse, and structure this massive amount of data, making it actionable for marketers, analysts, and other business users.

Cloud Based Solutions: The rise of cloud computing has made CDPs more accessible and scalable. Cloud based CDPs offer cost effective, flexible, and fast to deploy solutions for managing and analyzing large datasets, which is particularly attractive for businesses of all sizes, including small and medium enterprises (SMEs).

Global Customer Data Platform Market Restraints

The Customer Data Platform (CDP) market is experiencing significant growth, driven by the increasing demand for personalized customer experiences and the need for businesses to make sense of their vast amount of customer data. However, several key restraints and challenges are limiting its full potential.

Data Privacy and Regulatory Compliance: This is one of the most significant and complex restraints. The rise of stringent global data privacy laws, such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the U.S., creates a major hurdle. These regulations require businesses to obtain explicit user consent, provide the "right to be forgotten" (data deletion), and ensure robust data governance. For CDPs, which centralize and unify data from multiple sources, complying with these laws across different jurisdictions is a complex and resource intensive task. Non compliance can lead to severe financial penalties and reputational damage, making some organizations hesitant to adopt CDPs.

High Implementation and Maintenance Costs: CDPs require a significant financial investment. The costs are not just for the software itself, but also for implementation, integration with existing legacy systems, and ongoing maintenance. This can be a major barrier for small and medium sized enterprises (SMEs) that may not have the budget or technical resources of larger corporations.

Integration Complexity and Vendor Lock in: Integrating a new CDP with a company's existing technology stack (including CRM, marketing automation, and e commerce platforms) can be a complex and challenging process. Many traditional or closed platform CDPs can lead to "vendor lock in," where a company becomes overly reliant on a single provider, limiting flexibility and making it difficult to switch to other solutions or integrate with new technologies in the future.

Lack of Skilled Professionals: The effective utilization of a CDP requires specialized skills in data science, analytics, and marketing. There is a shortage of professionals who can properly manage, analyze, and extract value from the large datasets that a CDP unifies. This talent gap can hinder a company's ability to maximize its CDP investment.

Data Quality and Completeness: A CDP is only as good as the data it receives. Many businesses struggle with poor data quality, including data that is out of date, unorganized, or incomplete. If a CDP is fed "bad data," the unified customer profiles and insights it generates will be inaccurate, rendering the platform ineffective for personalization and marketing efforts.

Confusion in the Market: The "Customer Data Platform" is a relatively new and evolving category, and its purpose can sometimes be confused with other technologies like Data Management Platforms (DMPs) and Customer Relationship Management (CRM) systems. This lack of clear understanding can lead to confusion among potential buyers and slow down the adoption rate.

Global Customer Data Platform Market Segmentation Analysis

The Global Customer Data Platform Market is segmented on the basis of By Type, By Application, and By Geography.

Customer Data Platform Market, By Type

Cloud Based

On Premises

Based on Type, the Customer Data Platform Market is segmented into Cloud Based,On Premises. At VMR, we observe that the Cloud Based subsegment holds a commanding position and is the dominant force in the market. This dominance is driven by a convergence of key market drivers, including the widespread digitalization across industries, the need for enhanced scalability and flexibility, and the growing emphasis on data driven customer experiences. Cloud based CDPs eliminate the need for significant upfront capital investment in hardware and maintenance, offering a more cost effective and agile solution, particularly for small and medium sized enterprises (SMEs) and even large corporations seeking to modernize their IT infrastructure. This has led to a high adoption rate and a substantial revenue contribution, with market data indicating that the cloud segment accounts for a significant majority of the market share, with a projected impressive CAGR. Regionally, the demand is particularly strong in North America and Europe, where a mature digital infrastructure and a high concentration of tech savvy enterprises and major CDP vendors fuel adoption.

The second most dominant subsegment, On Premises, continues to maintain its relevance, albeit with a smaller market share. Its growth is primarily driven by large enterprises in sectors with stringent data privacy and security regulations, such as government, healthcare, and financial services. These organizations often prefer on premises solutions for greater control over their data, enhanced security measures, and compliance with specific regional data governance policies. While the on premises segment does not exhibit the high growth trajectory of its cloud counterpart, it holds a steady and crucial role, particularly in regions where data sovereignty is a primary concern. Its growth is also supported by the need to integrate with existing legacy systems, which is often more seamless with an on premises deployment. Overall, while the cloud based model is the clear leader due to its agility and scalability, the on premises segment serves a vital, albeit more niche, market, catering to specific security and compliance needs.

Customer Data Platform Market, By Application

Large Enterprises

SMEs

Based on Application, the Customer Data Platform Market is segmented into Large Enterprises, SMEs. At VMR, we observe that the Large Enterprises subsegment currently holds the dominant market share. This is driven by several key factors, including their immense scale of operations, which generates vast and complex volumes of customer data from diverse channels. These enterprises, particularly in data intensive sectors like Retail & E commerce, BFSI (Banking, Financial Services, and Insurance), and Telecommunications, have a critical need for a unified customer view to personalize experiences, optimize marketing campaigns, and ensure compliance with stringent data regulations such as GDPR and CCPA. The significant capital and infrastructure required for robust CDP solutions are more readily available to large corporations.

The second most dominant and rapidly expanding subsegment is SMEs (Small and Medium sized Enterprises). Although they hold a smaller overall market share, this segment is witnessing the fastest growth, with a projected impressive CAGR. This acceleration is a result of several democratization focused drivers. The rise of cloud based, subscription model CDPs has lowered the barrier to entry, making these powerful tools more accessible and affordable for smaller businesses. Their growth is particularly prominent in high growth regions like Asia Pacific, where an increasing number of SMEs are undergoing digital transformation and seeking to leverage customer data to compete with larger players. The key growth drivers for this segment are the demand for improved marketing efficiency.

Customer Data Platform Market, By Geography

North America

Europe

Asia Pacific

Rest of the World

Based on the Geography, the Global Customer Data Platform Market are classified into North America, Europe, Asia Pacific, Rest of the World. North America is the dominant region, owing to its advanced industrial infrastructure and widespread use of precision measurement technologies across industries. The Asia Pacific region is the fastest growing, thanks to rapid industrialization, expanding manufacturing capabilities, and rising investments in technology and infrastructure in emerging economies such as China and India.

United States Customer Data Platform Market

The United States is a dominant force in the global CDP market. Its mature digital landscape, a high concentration of major technology and e commerce companies, and a strong culture of investing in advanced marketing technologies contribute to its leading position. The market is driven by the imperative to create highly personalized customer experiences to maintain a competitive edge.

Dynamics: The U.S. market is characterized by a high degree of maturity and a significant number of early adopters. Major technology players like Salesforce, Adobe, Oracle, and Microsoft are key players, continually innovating with AI and machine learning integrations to enhance CDP capabilities.

Key Growth Drivers: The booming e commerce sector is a primary driver, as companies seek to consolidate and analyze data from multiple digital touchpoints to improve customer satisfaction and sales. The need for real time data processing and a unified view of the customer is also crucial for sophisticated marketing and sales strategies.

Current Trends: A major trend is the integration of CDPs with existing Customer Relationship Management (CRM) and marketing automation systems to create a more cohesive data environment. Additionally, the market is highly influenced by data privacy regulations like the California Consumer Privacy Act (CCPA), pushing businesses to adopt CDPs with robust consent management and data governance features.

Europe Customer Data Platform Market

Europe represents a significant portion of the global CDP market, with a strong focus on data privacy and compliance. The market's growth is largely shaped by stringent regulations like the General Data Protection Regulation (GDPR).

Dynamics: The European market's dynamics are heavily influenced by the need to balance data utilization with legal and ethical data privacy requirements. Businesses are adopting CDPs not just for marketing efficiency but also as a tool for ensuring compliance and building customer trust.

Key Growth Drivers: The primary driver is the need to comply with GDPR, which mandates a structured approach to collecting, storing, and processing customer data. Additionally, businesses are increasingly investing in digital marketing and advertising, creating a strong demand for CDPs to unify data and improve campaign effectiveness.

Current Trends: The market is seeing a shift towards cloud based solutions and an increased emphasis on data governance. The integration of AI and machine learning is also a key trend, helping European businesses to derive actionable insights from their data while adhering to privacy rules.

Asia Pacific Customer Data Platform Market

The Asia Pacific (APAC) region is poised for the fastest growth in the global CDP market. This is due to a combination of rapid digital transformation, increasing internet penetration, and a burgeoning e commerce sector.

Dynamics: The APAC market is characterized by a high growth rate, with countries like China, India, and Japan leading the charge. The region's diverse and rapidly evolving digital landscape presents both opportunities and challenges, including a lack of awareness and a shortage of skilled professionals in some developing nations.

Key Growth Drivers: The rapid expansion of e commerce, rising smartphone usage, and a significant increase in investments in marketing and advertising are fueling the market's growth. The need to improve customer experience and retention in a competitive, mobile first environment is also a major driver.

Current Trends: There is a strong movement towards the adoption of cloud based CDPs, as they offer scalability and cost effectiveness, particularly for small and medium sized enterprises (SMEs). The integration of real time data processing and analytics is a key trend, allowing businesses to immediately react to customer behavior.

Latin America Customer Data Platform Market

The Latin America CDP market is a high growth region, propelled by a similar digital transformation trajectory to APAC. While still in an earlier stage of adoption compared to North America and Europe, the region presents significant opportunities.

Dynamics: The market is gaining momentum with a focus on leveraging advanced technologies to drive business growth. Companies are increasingly recognizing the value of data driven insights to enhance customer engagement and optimize marketing efforts.

Key Growth Drivers: The growth of the e commerce sector and the increasing need for effective customer data management are the primary drivers. Businesses are also investing in predictive analytics and machine learning to gain a competitive edge.

Current Trends: A notable trend is the increasing adoption of cloud based CDP solutions, which provide the flexibility and scalability required to meet the evolving needs of the region's businesses. The market is also seeing collaborations between CDP providers and local enterprises to create tailored solutions.

Middle East & Africa Customer Data Platform Market

The Middle East & Africa (MEA) region's CDP market is emerging, driven by increasing digitalization and investments in customer centric strategies, particularly in e commerce and retail.

Dynamics: The MEA market is characterized by a growing e commerce landscape, high smartphone penetration, and increasing investment in digital infrastructure. Countries like the UAE, Saudi Arabia, and South Africa are leading the adoption of digital first strategies.

Key Growth Drivers: The rise of e commerce, especially with the widespread adoption of mobile commerce and digital payments, is a key driver. Businesses are using CDPs to unify data from various channels and deliver personalized shopping experiences.

Current Trends: The market is witnessing the integration of AI driven analytics and machine learning capabilities to derive actionable insights from customer data. The adoption of omnichannel strategies, blending online and offline experiences, is also a significant trend, making CDPs essential for a unified view of the customer journey.

Key Players

TOracle
SAP
Salesforce
Adobe
Nice
SAS Institute
Tealium
Segment
Zaius
AgilOne
ActionIQ
BlueConic
Ascent360
Evergage
Lytics
mParticle
NGDATA
IgnitionOne
Signal
Usermind
Amperity
Reltio
Ensighten
Fospha
SessionM

1 INTRODUCTION OF GLOBAL CUSTOMER DATA PLATFORM MARKET

1.1 OVERVIEW OF THE MARKET
1.2 SCOPE OF REPORT
1.3 ASSUMPTIONS

2 EXECUTIVE SUMMARY

2.1 DATA MINING
2.2 SECONDARY RESEARCH
2.3 PRIMARY RESEARCH
2.4 SUBJECT MATTER EXPERT ADVICE
2.5 QUALITY CHECK
2.6 FINAL REVIEW
2.7 DATA TRIANGULATION
2.8 BOTTOM-UP APPROACH
2.9 TOP-DOWN APPROACH
2.10 RESEARCH FLOW
2.11 DATA SOURCES

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

3.1 OVERVIEW
3.2 ABSOLUTE $ OPPORTUNITY
3.3 MARKET ATTRACTIVENESS
3.4 FUTURE MARKET OPPORTUNITIES

4 GLOBAL CUSTOMER DATA PLATFORM MARKET OUTLOOK

4.1 OVERVIEW
4.2 MARKET DYNAMICS
- 4.2.1 DRIVERS
- 4.2.2 RESTRAINTS
- 4.2.3 OPPORTUNITIES
4.3 PORTER'S FIVE FORCE MODEL
4.4 VALUE CHAIN ANALYSIS

5 GLOBAL CUSTOMER DATA PLATFORM MARKET, BY TYPE

5.1 OVERVIEW
5.2 CLOUD-BASED
5.3 ON-PREMISES

6 GLOBAL CUSTOMER DATA PLATFORM MARKET, BY APPLICATION

6.1 OVERVIEW
6.2 LARGE ENTERPRISES
6.3 SMES

7 GLOBAL CUSTOMER DATA PLATFORM MARKET, BY GEOGRAPHY

7.1 OVERVIEW
7.2 NORTH AMERICA
- 7.2.1 U.S.
- 7.2.2 CANADA
- 7.2.3 MEXICO
7.3 EUROPE
- 7.3.1 GERMANY
- 7.3.2 THE U.K.
- 7.3.3 FRANCE
- 7.3.4 ITALY
- 7.3.5 SPAIN
- 7.3.6 REST OF EUROPE
7.4 ASIA PACIFIC
- 7.4.1 CHINA
- 7.4.2 JAPAN
- 7.4.3 INDIA
- 7.4.4 REST OF ASIA PACIFIC
7.5 REST OF THE WORLD
- 7.5.1 LATIN AMERICA
- 7.5.2 MIDDLE EAST AND AFRICA

8 GLOBAL CUSTOMER DATA PLATFORM MARKET COMPETITIVE LANDSCAPE

8.1 OVERVIEW
8.2 COMPANY MARKET RANKING
8.3 KEY DEVELOPMENT STRATEGIES
8.4 COMPANY REGIONAL FOOTPRINT
8.5 COMPANY INDUSTRY FOOTPRINT
8.6 ACE MATRIX

9 COMPANY PROFILES

9.1 SALESFORCE (EVERGAGE)
- 9.1.1 COMPANY OVERVIEW
- 9.1.2 COMPANY INSIGHTS
- 9.1.3 BUSINESS BREAKDOWN
- 9.1.4 PRODUCT BENCHMARKING
- 9.1.5 KEY DEVELOPMENTS
- 9.1.6 WINNING IMPERATIVES
- 9.1.7 CURRENT FOCUS & STRATEGIES
- 9.1.8 THREAT FROM COMPETITION
- 9.1.9 SWOT ANALYSIS
9.2 TEALIUM INC.
- 9.2.1 COMPANY OVERVIEW
- 9.2.2 COMPANY INSIGHTS
- 9.2.3 BUSINESS BREAKDOWN
- 9.2.4 PRODUCT BENCHMARKING
- 9.2.5 KEY DEVELOPMENTS
- 9.2.6 WINNING IMPERATIVES
- 9.2.7 CURRENT FOCUS & STRATEGIES
- 9.2.8 THREAT FROM COMPETITION
- 9.2.9 SWOT ANALYSIS
9.3 OPTIMOVE
- 9.3.1 COMPANY OVERVIEW
- 9.3.2 COMPANY INSIGHTS
- 9.3.3 BUSINESS BREAKDOWN
- 9.3.4 PRODUCT BENCHMARKING
- 9.3.5 KEY DEVELOPMENTS
- 9.3.6 WINNING IMPERATIVES
- 9.3.7 CURRENT FOCUS & STRATEGIES
- 9.3.8 THREAT FROM COMPETITION
- 9.3.9 SWOT ANALYSIS
9.4 EXPONEA
- 9.4.1 COMPANY OVERVIEW
- 9.4.2 COMPANY INSIGHTS
- 9.4.3 BUSINESS BREAKDOWN
- 9.4.4 PRODUCT BENCHMARKING
- 9.4.5 KEY DEVELOPMENTS
- 9.4.6 WINNING IMPERATIVES
- 9.4.7 CURRENT FOCUS & STRATEGIES
- 9.4.8 THREAT FROM COMPETITION
- 9.4.9 SWOT ANALYSIS
9.5 ENSIGHTEN
- 9.5.1 COMPANY OVERVIEW
- 9.5.2 COMPANY INSIGHTS
- 9.5.3 BUSINESS BREAKDOWN
- 9.5.4 PRODUCT BENCHMARKING
- 9.5.5 KEY DEVELOPMENTS
- 9.5.6 WINNING IMPERATIVES
- 9.5.7 CURRENT FOCUS & STRATEGIES
- 9.5.8 THREAT FROM COMPETITION
- 9.5.9 SWOT ANALYSIS
9.6 BLUECONIC, INC.
- 9.6.1 COMPANY OVERVIEW
- 9.6.2 COMPANY INSIGHTS
- 9.6.3 BUSINESS BREAKDOWN
- 9.6.4 PRODUCT BENCHMARKING
- 9.6.5 KEY DEVELOPMENTS
- 9.6.6 WINNING IMPERATIVES
- 9.6.7 CURRENT FOCUS & STRATEGIES
- 9.6.8 THREAT FROM COMPETITION
- 9.6.9 SWOT ANALYSIS
9.7 SAP
- 9.7.1 COMPANY OVERVIEW
- 9.7.2 COMPANY INSIGHTS
- 9.7.3 BUSINESS BREAKDOWN
- 9.7.4 PRODUCT BENCHMARKING
- 9.7.5 KEY DEVELOPMENTS
- 9.7.6 WINNING IMPERATIVES
- 9.7.7 CURRENT FOCUS & STRATEGIES
- 9.7.8 THREAT FROM COMPETITION
- 9.7.9 SWOT ANALYSIS
9.8 ORACLE
- 9.8.1 COMPANY OVERVIEW
- 9.8.2 COMPANY INSIGHTS
- 9.8.3 BUSINESS BREAKDOWN
- 9.8.4 PRODUCT BENCHMARKING
- 9.8.5 KEY DEVELOPMENTS
- 9.8.6 WINNING IMPERATIVES
- 9.8.7 CURRENT FOCUS & STRATEGIES
- 9.8.8 THREAT FROM COMPETITION
- 9.8.9 SWOT ANALYSIS
9.9 MICROSOFT
- 9.9.1 COMPANY OVERVIEW
- 9.9.2 COMPANY INSIGHTS
- 9.9.3 BUSINESS BREAKDOWN
- 9.9.4 PRODUCT BENCHMARKING
- 9.9.5 KEY DEVELOPMENTS
- 9.9.6 WINNING IMPERATIVES
- 9.9.7 CURRENT FOCUS & STRATEGIES
- 9.9.8 THREAT FROM COMPETITION
- 9.9.9 SWOT ANALYSIS
9.10 SAS INSTITUTE INC.
- 9.10.1 COMPANY OVERVIEW
- 9.10.2 COMPANY INSIGHTS
- 9.10.3 BUSINESS BREAKDOWN
- 9.10.4 PRODUCT BENCHMARKING
- 9.10.5 KEY DEVELOPMENTS
- 9.10.6 WINNING IMPERATIVES
- 9.10.7 CURRENT FOCUS & STRATEGIES
- 9.10.8 THREAT FROM COMPETITION
- 9.10.9 SWOT ANALYSIS