データ管理プラットフォーム市場：世界の産業規模・シェア・動向・機会・予測 (データの種類別、データソース別、エンドユーザー別、地域別)、競合情勢 (2019～2029年)

データ管理プラットフォーム (DMP) の世界市場規模は2023年に42億7,000万米ドル、予測期間中のCAGRは14.01%で、2029年には94億6,000万米ドルに達すると予測されます。

データ管理プラットフォーム (DMP) 市場は、データの爆発的な増加によって牽引されており、効率的な収集・分析ツールが必要とされています。企業は顧客行動を洞察し、キャンペーンを最適化するために、データ主導のマーケティング戦略を採用する傾向が強まっています。また、クラウドコンピューティング、AI、機械学習の進歩により、DMPの機能が強化され、データ保護に関する法規制コンプライアンスの要求が、DMPの関連性をさらに高めています。さらに、DMPは他のマーケティングテクノロジーとシームレスに統合され、その有用性を高めています。また、競争力を維持し、マーケティング費用に対するROIを向上させなければならないというプレッシャーも、業界を問わずDMPの採用を加速させています。

市場促進要因

データの爆発的増加と効果的なデータ管理の必要性

技術の進化とマーケティング・エコシステムとの統合

主な市場課題

データプライバシーと規制遵守

統合の複雑性とデータのサイロ化

主な市場動向

プライバシー優先主義と倫理的データプラクティスの重視

目次

第1章 概要

• 市場の定義
• 市場の範囲
  • 対象市場
  • 調査対象年
  • 主要市場セグメンテーション

第2章 分析手法

第3章 エグゼクティブサマリー

第4章 新型コロナウイルス感染症 (COVID-19) が世界のデータ管理プラットフォーム (DMP) 市場に与える影響

第5章 顧客の声

第6章 世界のデータ管理プラットフォーム (DMP) 市場の概要

第7章 世界のデータ管理プラットフォーム (DMP) 市場の展望

• 市場規模・予測
  • 金額ベース
• 市場シェア・予測
  • データの種類別 (ファーストパーティ、セカンドパーティ、サードパーティ)
  • データソース別 (Web解析ツール、モバイルWeb、モバイルアプリ、CRMデータ、POSデータ、ソーシャルネットワーク)
  • エンドユーザー (広告代理店、マーケティング担当者、パブリッシャー)
  • 地域別 (北米、欧州、南米、中東・アフリカ、アジア太平洋)
• 企業別 (2023年)
• 市場マップ

第8章 北米のデータ管理プラットフォーム (DMP) 市場の展望

• 市場規模・予測
  • 金額ベース
• 市場シェア・予測
  • データの種類別
  • データソース別
  • エンドユーザー別
  • 国別
• 北米：国別分析
  • 米国
  • カナダ
  • メキシコ

第9章 欧州のデータ管理プラットフォーム (DMP) 市場の展望

• 市場規模・予測
  • 金額ベース
• 市場シェア・予測
  • データの種類別
  • データソース別
  • エンドユーザー別
  • 国別
• 欧州：国別分析
  • ドイツ
  • フランス
  • 英国
  • イタリア
  • スペイン
  • オランダ
  • ベルギー

第10章 南米のデータ管理プラットフォーム (DMP) 市場の展望

• 市場規模・予測
  • 金額ベース
• 市場シェア・予測
  • データの種類別
  • データソース別
  • エンドユーザー別
  • 国別
• 南米：国別分析
  • ブラジル
  • コロンビア
  • アルゼンチン
  • チリ

第11章 中東・アフリカのデータ管理プラットフォーム (DMP) 市場の展望

• 市場規模・予測
  • 金額ベース
• 市場シェア・予測
  • データの種類別
  • データソース別
  • エンドユーザー別
  • 国別
• 中東・アフリカ：国別分析
  • サウジアラビア
  • アラブ首長国連邦
  • 南アフリカ
  • トルコ

第12章 アジア太平洋のデータ管理プラットフォーム (DMP) 市場の展望

• 市場規模・予測
  • 金額ベース
• 市場シェア・予測
  • データの種類別
  • データソース別
  • エンドユーザー別
  • 国別
• アジア太平洋：国別分析
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア
  • タイ
  • マレーシア

第13章 市場力学

• 促進要因
• 課題

第14章 市場動向と発展

第15章 企業プロファイル

• 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 戦略的提言

第17章 TechSci Researchについて・免責事項

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.

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