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资料管理平台市场 - 按资料类型、资料来源、最终用户、地区和竞争细分的全球产业规模、份额、趋势、机会和预测，2019-2029F

Data Management Platform Market - Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented By Data Types, By Data Source, By End Users, By Region & Competition, 2019-2029F
出版日期: | 出版商: TechSci Research | 英文 186 Pages | 商品交期: 2-3个工作天内

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简介目录

2023年，全球资料管理平台（DMP）市值为42.7亿美元，预计2029年将达到94.6亿美元，预测期内复合年增长率为14.01%。资料管理平台（DMP）市场是由资料爆炸性成长所推动的，这需要高效率的收集和分析工具。企业越来越多地采用数据驱动的行销策略来深入了解客户行为并优化行销活动。云端运算、人工智慧和机器学习的进步增强了 DMP 功能，而资料保护的监管合规性要求进一步增强了其相关性。此外，DMP 与其他行销技术无缝集成，提高了其实用性。保持竞争力和实现更高的行销支出投资回报率的压力也加速了 DMP 跨行业的采用。

市场概况
预测期 2025-2029
2023 年市场规模 42.7亿美元
2029 年市场规模 94.6亿美元
2024-2029 年复合年增长率 14.01%
成长最快的细分市场 网路分析工具
最大的市场 北美洲

主要市场驱动因素

数据爆炸和有效数据管理的需求

技术进步以及与行销生态系统的整合

主要市场挑战

资料隐私和监管合规性

整合复杂性和资料孤岛

主要市场趋势

强调隐私第一和道德资料实践

细分市场洞察

最终使用者见解

区域洞察

目录

第 1 章：服务概述

  • 市场定义
  • 市场范围
    • 涵盖的市场
    • 考虑学习的年份
    • 主要市场区隔

第 2 章：研究方法

第 3 章：执行摘要

第 4 章：COVID-19 对全球资料管理平台 (DMP) 市场的影响

第 5 章：客户之声

第 6 章：全球资料管理平台 (DMP) 市场概述

第 7 章：全球资料管理平台 (DMP) 市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 依资料类型（第一方、第二方和第三方）
    • 按资料来源（Web 分析工具、行动网路、行动应用程式、CRM 资料、POS 资料和社交网路）
    • 最终用户（广告代理商、行销人员和出版商）
    • 按地区（北美、欧洲、南美、中东和非洲、亚太地区）
  • 按公司划分 (2023)
  • 市场地图

第 8 章：北美资料管理平台 (DMP) 市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 依资料类型
    • 按数据来源
    • 由最终用户
    • 按国家/地区
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 9 章：欧洲资料管理平台 (DMP) 市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 依资料类型
    • 按数据来源
    • 由最终用户
    • 按国家/地区
  • 欧洲：国家分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时

第 10 章：南美洲资料管理平台 (DMP) 市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 依资料类型
    • 按数据来源
    • 由最终用户
    • 按国家/地区
  • 南美洲：国家分析
    • 巴西
    • 哥伦比亚
    • 阿根廷
    • 智利

第 11 章：中东和非洲资料管理平台 (DMP) 市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 依资料类型
    • 按数据来源
    • 由最终用户
    • 按国家/地区
  • 中东和非洲：国家分析
    • 沙乌地阿拉伯
    • 阿联酋
    • 南非
    • 土耳其

第 12 章：亚太地区资料管理平台 (DMP) 市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 依资料类型
    • 按数据来源
    • 由最终用户
    • 按国家/地区
  • 亚太地区：国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲
    • 泰国
    • 马来西亚

第 13 章：市场动态

  • 司机
  • 挑战

第 14 章：市场趋势与发展

第 15 章：公司简介

  • General Electric Company
  • Siemens AG
  • ABB Ltd
  • Honeywell International Inc.
  • Emerson Electric Co.
  • Schneider Electric SE
  • Rockwell Automation Inc.
  • OSIsoft LLC
  • ICONICS, Inc.
  • Open Automation Software, Inc.
  • IBM Corporation
  • Inductive Automation, LLC

第 16 章：策略建议

第17章调查会社について・免责事项

简介目录
Product Code: 24986

Global Data Management Platform (DMP) Market was valued at USD 4.27 billion in 2023 and is expected to reach USD 9.46 billion by 2029 with a CAGR of 14.01% during the forecast period. The Data Management Platform (DMP) market is driven by the explosive growth of data, which necessitates efficient collection and analysis tools. Businesses increasingly adopt data-driven marketing strategies to gain insights into customer behavior and optimize campaigns. Advances in cloud computing, AI, and machine learning enhance DMP capabilities, while regulatory compliance demands for data protection further boost their relevance. Additionally, DMPs integrate seamlessly with other marketing technologies, improving their utility. The pressure to stay competitive and achieve higher ROI on marketing spend also accelerates the adoption of DMPs across industries.

Market Overview
Forecast Period2025-2029
Market Size 2023USD 4.27 Billion
Market Size 2029USD 9.46 Billion
CAGR 2024-202914.01%
Fastest Growing SegmentWeb Analytics Tool
Largest MarketNorth America

Key Market Drivers

Explosion of Data and the Need for Effective Data Management

The rapid expansion of data across various industries is a primary driver of the Global Data Management Platform (DMP) market. With the proliferation of digital technologies, businesses now generate massive amounts of data from diverse sources such as social media, e-commerce platforms, IoT devices, and mobile applications. This data explosion creates a pressing need for sophisticated systems capable of managing, integrating, and analyzing vast datasets. DMPs address this challenge by providing a centralized platform for collecting, organizing, and processing data from multiple channels. These platforms facilitate the aggregation of first-party data (collected directly from customers), second-party data (shared between partners), and third-party data (acquired from external sources). By consolidating data into a unified system, DMPs enable businesses to derive actionable insights and build comprehensive customer profiles.

The ability to harness and leverage data effectively is crucial for driving strategic decision-making and achieving competitive advantage. DMPs empower organizations to segment audiences with precision, personalize marketing efforts, and optimize campaigns based on real-time data insights. This capability is particularly valuable in an era where consumer expectations are high, and personalized experiences are key to customer satisfaction and loyalty. Furthermore, as businesses seek to gain deeper insights into customer behavior and preferences, the demand for advanced analytics and reporting features within DMPs continues to grow. This trend highlights the critical role of data management platforms in enabling organizations to navigate the complexities of the digital landscape and make data-driven decisions.

Advancements in Technology and Integration with Marketing Ecosystems

Technological advancements, particularly in cloud computing, artificial intelligence (AI), and machine learning (ML), are significantly driving the Global DMP market. The evolution of these technologies enhances the functionality and effectiveness of DMPs, making them indispensable tools for modern data management and marketing strategies. Cloud computing provides scalability and flexibility, allowing DMPs to handle large volumes of data and support real-time processing and analysis. This infrastructure enables businesses to access and utilize data from anywhere, facilitating more agile and responsive marketing strategies.

AI and ML further enhance DMP capabilities by enabling advanced data analytics, predictive modeling, and automation. AI-driven algorithms can analyze complex data patterns, identify trends, and generate actionable insights with greater accuracy and efficiency. Machine learning models improve the accuracy of audience segmentation and targeting by continuously learning from new data and adjusting strategies accordingly. These advancements also support automated decision-making processes, reducing manual intervention and increasing operational efficiency.

Moreover, the ability of DMPs to integrate seamlessly with other marketing technologies, such as Customer Relationship Management (CRM) systems, Demand-Side Platforms (DSPs), and Content Management Systems (CMS), amplifies their value. Integration with CRM systems enhances customer relationship management by providing a holistic view of customer interactions and preferences. Integration with DSPs optimizes programmatic advertising by enabling precise targeting and bidding strategies. Overall, the synergy between DMPs and other marketing technologies strengthens the effectiveness of digital marketing efforts and drives greater market adoption of data management platforms.

Key Market Challenges

Data Privacy and Regulatory Compliance

One of the foremost challenges in the Global Data Management Platform (DMP) market is navigating the complex landscape of data privacy regulations and ensuring compliance with stringent data protection laws. As data privacy concerns intensify globally, regulations such as the General Data Protection Regulation (GDPR) in Europe, the California Consumer Privacy Act (CCPA) in the United States, and similar laws in other regions impose strict requirements on how businesses collect, store, and use personal data. DMPs must ensure that they are equipped to handle these regulations, which often require significant adjustments in data management practices.

Compliance with these regulations necessitates robust data governance frameworks that include mechanisms for data consent, transparency, and security. Businesses must obtain explicit consent from individuals before collecting and processing their data, and they need to provide clear information about how their data will be used. Additionally, regulations mandate that organizations have processes in place for data access requests, data corrections, and data deletions. Implementing these compliance measures within a DMP can be complex and resource-intensive, potentially leading to increased operational costs and slower implementation times.

Moreover, the evolving nature of data privacy laws means that DMP providers must continuously update their platforms to adapt to new regulatory requirements. This dynamic regulatory environment poses a challenge for DMP vendors in terms of maintaining up-to-date compliance and ensuring that their systems are capable of handling diverse legal obligations across different jurisdictions. Failure to comply with these regulations can result in significant fines, legal repercussions, and damage to a company's reputation, highlighting the critical need for effective data privacy and compliance strategies within the DMP market.

Integration Complexity and Data Silos

Another significant challenge facing the Global DMP market is the complexity of integrating DMPs with existing marketing and data management systems, and addressing data silo issues. Many organizations use a variety of disparate systems and technologies for different aspects of their operations, including Customer Relationship Management (CRM) systems, Enterprise Resource Planning (ERP) systems, and various marketing tools. Ensuring seamless integration of a DMP with these systems can be technically challenging and requires careful planning and execution.

Data silos, where data is isolated within different departments or systems, exacerbate the problem. These silos prevent organizations from achieving a unified view of their data, which is essential for effective data management and analytics. For a DMP to be effective, it needs to consolidate data from various sources into a single platform, which requires overcoming integration hurdles and ensuring compatibility with a wide range of data sources and formats. This can involve complex data mapping, transformation, and synchronization processes.

Additionally, the integration process may require significant investment in terms of both time and resources, including the need for specialized technical expertise and custom development. Organizations must also ensure that the integration does not disrupt existing operations or lead to data inconsistencies. The challenge of managing and integrating data across diverse systems and breaking down data silos is crucial for maximizing the value derived from DMPs and achieving comprehensive data-driven insights.

Key Market Trends

Emphasis on Privacy-First and Ethical Data Practices

Another key trend in the Global DMP market is the growing emphasis on privacy-first and ethical data practices. In response to increasing consumer concerns about data privacy and the impact of stringent regulations, businesses are prioritizing transparency, consent, and responsible data usage in their data management strategies. This shift reflects a broader movement towards ethical data practices and a commitment to safeguarding user privacy.

Privacy-first practices involve implementing measures to ensure that data collection and usage are conducted in a manner that respects user preferences and complies with legal requirements. DMPs are incorporating features that support privacy management, such as consent management tools, data anonymization, and robust data protection protocols. These features enable businesses to obtain explicit consent from users, provide transparency about data usage, and ensure that data is handled in a secure and compliant manner.

Furthermore, ethical data practices extend beyond regulatory compliance to include considerations of how data is used to avoid manipulation or exploitation of consumer information. Businesses are increasingly adopting data stewardship principles that emphasize fairness, accountability, and respect for user privacy. This includes being transparent about data collection practices, offering users control over their data, and avoiding practices that could undermine trust.

The emphasis on privacy-first and ethical data practices is not only driven by regulatory requirements but also by the desire to build trust with consumers and enhance brand reputation. As privacy concerns continue to rise, businesses that demonstrate a commitment to ethical data practices are likely to gain a competitive advantage and foster stronger relationships with their customers. This trend underscores the importance of aligning data management strategies with evolving expectations around privacy and ethical behavior.

Segmental Insights

End Users Insights

The Ad agencies segment has emerged as the dominating segment in the global Data Management Platform (DMP) market. The Ad Agencies segment has emerged as the leading player in the global Data Management Platform (DMP) market due to its critical role in driving targeted advertising and optimizing marketing campaigns. Ad agencies rely heavily on DMPs to aggregate and analyze vast amounts of data from various sources, including digital media, social platforms, and customer interactions. By leveraging these platforms, ad agencies can create detailed audience profiles, segment markets with precision, and execute highly targeted ad campaigns that improve engagement and conversion rates.

The need for enhanced targeting capabilities and data-driven insights has become paramount in the competitive advertising landscape. DMPs enable ad agencies to access and utilize first-party, second-party, and third-party data, allowing them to tailor their strategies to meet specific client objectives and consumer preferences. This data-driven approach not only increases the effectiveness of advertising efforts but also helps in maximizing return on investment (ROI) by reducing wasted ad spend and improving campaign performance.

Additionally, the integration of advanced technologies such as artificial intelligence (AI) and machine learning (ML) within DMPs supports ad agencies in achieving more accurate audience segmentation and predictive analytics. These technologies enhance the ability to anticipate consumer behavior and preferences, enabling more strategic and timely ad placements.

The growing emphasis on personalized marketing and the increasing complexity of digital advertising environments further drive the demand for DMPs within ad agencies. As a result, this segment continues to dominate the market, leveraging data management solutions to deliver superior advertising outcomes and stay ahead in an evolving industry landscape.

Regional Insights

North America has emerged as the dominating region in the global Data Management Platform (DMP) market, driven by several key factors. The region's advanced technological infrastructure and high adoption rates of digital marketing solutions contribute significantly to its market leadership. North American businesses are early adopters of cutting-edge technologies, including artificial intelligence (AI) and machine learning (ML), which enhance the capabilities of DMPs by providing advanced analytics, predictive insights, and automation. Additionally, the presence of major tech companies and a robust ecosystem of marketing technology providers foster innovation and competition, further strengthening the region's market position.

The region's emphasis on data-driven decision-making and personalized marketing strategies also fuels the demand for DMPs. Businesses across North America increasingly rely on data to optimize marketing campaigns, improve customer experiences, and drive revenue growth. Moreover, stringent data privacy regulations, such as the California Consumer Privacy Act (CCPA), push companies to adopt sophisticated data management solutions that ensure compliance while maximizing the value of their data assets.

North America's well-established digital advertising industry and significant investments in cloud computing infrastructure support the growth of the DMP market. The ability to integrate DMPs with various marketing technologies, such as Customer Relationship Management (CRM) systems and Demand-Side Platforms (DSPs), enhances their effectiveness and appeals to businesses looking for comprehensive data solutions.

Overall, North America's technological advancements, regulatory environment, and strong demand for data-driven marketing solutions have positioned it as the leading region in the global DMP market.

Key Market Players

  • General Electric Company
  • Siemens AG
  • ABB Ltd
  • Honeywell International Inc.
  • Emerson Electric Co.
  • Schneider Electric SE
  • Rockwell Automation Inc.
  • OSIsoft LLC
  • ICONICS, Inc.
  • Open Automation Software,Inc.
  • IBM Corporation
  • Inductive Automation, LLC

Report Scope:

In this report, the Global Data Management Platform (DMP) Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Data Management Platform (DMP) Market, By Data Types:

  • First Party
  • Second Party
  • Third Party

Data Management Platform (DMP) Market, By Data Source:

  • Web Analytics Tool
  • Mobile Web
  • Mobile Apps
  • CRM data
  • POS data
  • Social Network

Data Management Platform (DMP) Market, By End Users:

  • Ad Agencies
  • Marketers
  • Publishers

Data Management Platform (DMP) Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
    • Netherlands
    • Belgium
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Thailand
    • Malaysia
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE
    • Turkey

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Data Management Platform (DMP) Market.

Available Customizations:

Global Data Management Platform (DMP) Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Service Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1.Markets Covered
    • 1.2.2.Years Considered for Study
    • 1.2.3.Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Formulation of the Scope
  • 2.4. Assumptions and Limitations
  • 2.5. Sources of Research
    • 2.5.1.Secondary Research
    • 2.5.2.Primary Research
  • 2.6. Approach for the Market Study
    • 2.6.1.The Bottom-Up Approach
    • 2.6.2.The Top-Down Approach
  • 2.7. Methodology Followed for Calculation of Market Size & Market Shares
  • 2.8. Forecasting Methodology
    • 2.8.1.Data Triangulation & Validation

3. Executive Summary

4. Impact of COVID-19 on Global Data Management Platform (DMP) Market

5. Voice of Customer

6. Global Data Management Platform (DMP) Market Overview

7. Global Data Management Platform (DMP) Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1.By Value
  • 7.2. Market Share & Forecast
    • 7.2.1.By Data Types (First Party, Second Party and Third Party)
    • 7.2.2.By Data Source (Web Analytics Tool, Mobile Web, Mobile Apps, CRM Data, POS Data and Social Network)
    • 7.2.3.By End Users (Ad agencies, Marketers and Publishers)
    • 7.2.4.By Region (North America, Europe, South America, Middle East & Africa, Asia-Pacific)
  • 7.3. By Company (2023)
  • 7.4. Market Map

8. North America Data Management Platform (DMP) Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1.By Value
  • 8.2. Market Share & Forecast
    • 8.2.1.By Data Types
    • 8.2.2.By Data Source
    • 8.2.3.By End Users
    • 8.2.4.By Country
  • 8.3. North America: Country Analysis
    • 8.3.1.United States Data Management Platform (DMP) Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Data Types
        • 8.3.1.2.2. By Data Source
        • 8.3.1.2.3. By End Users
    • 8.3.2.Canada Data Management Platform (DMP) Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Data Types
        • 8.3.2.2.2. By Data Source
        • 8.3.2.2.3. By End Users
    • 8.3.3.Mexico Data Management Platform (DMP) Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Data Types
        • 8.3.3.2.2. By Data Source
        • 8.3.3.2.3. By End Users

9. Europe Data Management Platform (DMP) Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1.By Value
  • 9.2. Market Share & Forecast
    • 9.2.1.By Data Types
    • 9.2.2.By Data Source
    • 9.2.3.By End Users
    • 9.2.4.By Country
  • 9.3. Europe: Country Analysis
    • 9.3.1.Germany Data Management Platform (DMP) Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Data Types
        • 9.3.1.2.2. By Data Source
        • 9.3.1.2.3. By End Users
    • 9.3.2.France Data Management Platform (DMP) Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Data Types
        • 9.3.2.2.2. By Data Source
        • 9.3.2.2.3. By End Users
    • 9.3.3.United Kingdom Data Management Platform (DMP) Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Data Types
        • 9.3.3.2.2. By Data Source
        • 9.3.3.2.3. By End Users
    • 9.3.4.Italy Data Management Platform (DMP) Market Outlook
      • 9.3.4.1. Market Size & Forecast
        • 9.3.4.1.1. By Value
      • 9.3.4.2. Market Share & Forecast
        • 9.3.4.2.1. By Data Types
        • 9.3.4.2.2. By Data Source
        • 9.3.4.2.3. By End Users
    • 9.3.5.Spain Data Management Platform (DMP) Market Outlook
      • 9.3.5.1. Market Size & Forecast
        • 9.3.5.1.1. By Value
      • 9.3.5.2. Market Share & Forecast
        • 9.3.5.2.1. By Data Types
        • 9.3.5.2.2. By Data Source
        • 9.3.5.2.3. By End Users
    • 9.3.6.Netherlands Data Management Platform (DMP) Market Outlook
      • 9.3.6.1. Market Size & Forecast
        • 9.3.6.1.1. By Value
      • 9.3.6.2. Market Share & Forecast
        • 9.3.6.2.1. By Data Types
        • 9.3.6.2.2. By Data Source
        • 9.3.6.2.3. By End Users
    • 9.3.7.Belgium Data Management Platform (DMP) Market Outlook
      • 9.3.7.1. Market Size & Forecast
        • 9.3.7.1.1. By Value
      • 9.3.7.2. Market Share & Forecast
        • 9.3.7.2.1. By Data Types
        • 9.3.7.2.2. By Data Source
        • 9.3.7.2.3. By End Users

10. South America Data Management Platform (DMP) Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Data Types
    • 10.2.2. By Data Source
    • 10.2.3. By End Users
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Data Management Platform (DMP) Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Data Types
        • 10.3.1.2.2. By Data Source
        • 10.3.1.2.3. By End Users
    • 10.3.2. Colombia Data Management Platform (DMP) Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Data Types
        • 10.3.2.2.2. By Data Source
        • 10.3.2.2.3. By End Users
    • 10.3.3. Argentina Data Management Platform (DMP) Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Data Types
        • 10.3.3.2.2. By Data Source
        • 10.3.3.2.3. By End Users
    • 10.3.4. Chile Data Management Platform (DMP) Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Data Types
        • 10.3.4.2.2. By Data Source
        • 10.3.4.2.3. By End Users

11. Middle East & Africa Data Management Platform (DMP) Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Data Types
    • 11.2.2. By Data Source
    • 11.2.3. By End Users
    • 11.2.4. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. Saudi Arabia Data Management Platform (DMP) Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Data Types
        • 11.3.1.2.2. By Data Source
        • 11.3.1.2.3. By End Users
    • 11.3.2. UAE Data Management Platform (DMP) Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Data Types
        • 11.3.2.2.2. By Data Source
        • 11.3.2.2.3. By End Users
    • 11.3.3. South Africa Data Management Platform (DMP) Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Data Types
        • 11.3.3.2.2. By Data Source
        • 11.3.3.2.3. By End Users
    • 11.3.4. Turkey Data Management Platform (DMP) Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Data Types
        • 11.3.4.2.2. By Data Source
        • 11.3.4.2.3. By End Users

12. Asia-Pacific Data Management Platform (DMP) Market Outlook

  • 12.1. Market Size & Forecast
    • 12.1.1. By Value
  • 12.2. Market Share & Forecast
    • 12.2.1. By Data Types
    • 12.2.2. By Data Source
    • 12.2.3. By End Users
    • 12.2.4. By Country
  • 12.3. Asia-Pacific: Country Analysis
    • 12.3.1. China Data Management Platform (DMP) Market Outlook
      • 12.3.1.1. Market Size & Forecast
        • 12.3.1.1.1. By Value
      • 12.3.1.2. Market Share & Forecast
        • 12.3.1.2.1. By Data Types
        • 12.3.1.2.2. By Data Source
        • 12.3.1.2.3. By End Users
    • 12.3.2. India Data Management Platform (DMP) Market Outlook
      • 12.3.2.1. Market Size & Forecast
        • 12.3.2.1.1. By Value
      • 12.3.2.2. Market Share & Forecast
        • 12.3.2.2.1. By Data Types
        • 12.3.2.2.2. By Data Source
        • 12.3.2.2.3. By End Users
    • 12.3.3. Japan Data Management Platform (DMP) Market Outlook
      • 12.3.3.1. Market Size & Forecast
        • 12.3.3.1.1. By Value
      • 12.3.3.2. Market Share & Forecast
        • 12.3.3.2.1. By Data Types
        • 12.3.3.2.2. By Data Source
        • 12.3.3.2.3. By End Users
    • 12.3.4. South Korea Data Management Platform (DMP) Market Outlook
      • 12.3.4.1. Market Size & Forecast
        • 12.3.4.1.1. By Value
      • 12.3.4.2. Market Share & Forecast
        • 12.3.4.2.1. By Data Types
        • 12.3.4.2.2. By Data Source
        • 12.3.4.2.3. By End Users
    • 12.3.5. Australia Data Management Platform (DMP) Market Outlook
      • 12.3.5.1. Market Size & Forecast
        • 12.3.5.1.1. By Value
      • 12.3.5.2. Market Share & Forecast
        • 12.3.5.2.1. By Data Types
        • 12.3.5.2.2. By Data Source
        • 12.3.5.2.3. By End Users
    • 12.3.6. Thailand Data Management Platform (DMP) Market Outlook
      • 12.3.6.1. Market Size & Forecast
        • 12.3.6.1.1. By Value
      • 12.3.6.2. Market Share & Forecast
        • 12.3.6.2.1. By Data Types
        • 12.3.6.2.2. By Data Source
        • 12.3.6.2.3. By End Users
    • 12.3.7. Malaysia Data Management Platform (DMP) Market Outlook
      • 12.3.7.1. Market Size & Forecast
        • 12.3.7.1.1. By Value
      • 12.3.7.2. Market Share & Forecast
        • 12.3.7.2.1. By Data Types
        • 12.3.7.2.2. By Data Source
        • 12.3.7.2.3. By End Users

13. Market Dynamics

  • 13.1. Drivers
  • 13.2. Challenges

14. Market Trends and Developments

15. Company Profiles

  • 15.1. General Electric Company
    • 15.1.1. Business Overview
    • 15.1.2. Key Revenue and Financials
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel/Key Contact Person
    • 15.1.5. Key Product/Services Offered
  • 15.2. Siemens AG
    • 15.2.1. Business Overview
    • 15.2.2. Key Revenue and Financials
    • 15.2.3. Recent Developments
    • 15.2.4. Key Personnel/Key Contact Person
    • 15.2.5. Key Product/Services Offered
  • 15.3. ABB Ltd
    • 15.3.1. Business Overview
    • 15.3.2. Key Revenue and Financials
    • 15.3.3. Recent Developments
    • 15.3.4. Key Personnel/Key Contact Person
    • 15.3.5. Key Product/Services Offered
  • 15.4. Honeywell International Inc.
    • 15.4.1. Business Overview
    • 15.4.2. Key Revenue and Financials
    • 15.4.3. Recent Developments
    • 15.4.4. Key Personnel/Key Contact Person
    • 15.4.5. Key Product/Services Offered
  • 15.5. Emerson Electric Co.
    • 15.5.1. Business Overview
    • 15.5.2. Key Revenue and Financials
    • 15.5.3. Recent Developments
    • 15.5.4. Key Personnel/Key Contact Person
    • 15.5.5. Key Product/Services Offered
  • 15.6. Schneider Electric SE
    • 15.6.1. Business Overview
    • 15.6.2. Key Revenue and Financials
    • 15.6.3. Recent Developments
    • 15.6.4. Key Personnel/Key Contact Person
    • 15.6.5. Key Product/Services Offered
  • 15.7. Rockwell Automation Inc.
    • 15.7.1. Business Overview
    • 15.7.2. Key Revenue and Financials
    • 15.7.3. Recent Developments
    • 15.7.4. Key Personnel/Key Contact Person
    • 15.7.5. Key Product/Services Offered
  • 15.8. OSIsoft LLC
    • 15.8.1. Business Overview
    • 15.8.2. Key Revenue and Financials
    • 15.8.3. Recent Developments
    • 15.8.4. Key Personnel/Key Contact Person
    • 15.8.5. Key Product/Services Offered
  • 15.9. ICONICS, Inc.
    • 15.9.1. Business Overview
    • 15.9.2. Key Revenue and Financials
    • 15.9.3. Recent Developments
    • 15.9.4. Key Personnel/Key Contact Person
    • 15.9.5. Key Product/Services Offered
  • 15.10. Open Automation Software, Inc.
    • 15.10.1. Business Overview
    • 15.10.2. Key Revenue and Financials
    • 15.10.3. Recent Developments
    • 15.10.4. Key Personnel/Key Contact Person
    • 15.10.5. Key Product/Services Offered
  • 15.11. IBM Corporation
    • 15.11.1. Business Overview
    • 15.11.2. Key Revenue and Financials
    • 15.11.3. Recent Developments
    • 15.11.4. Key Personnel/Key Contact Person
    • 15.11.5. Key Product/Services Offered
  • 15.12. Inductive Automation, LLC
    • 15.12.1. Business Overview
    • 15.12.2. Key Revenue and Financials
    • 15.12.3. Recent Developments
    • 15.12.4. Key Personnel/Key Contact Person
    • 15.12.5. Key Product/Services Offered

16. Strategic Recommendations

17. About Us & Disclaimer