세계의 AI 데이터 관리 시장 규모, 점유율, 동향 분석 리포트 : 도입 모드별, 제공 서비스별, 기술별, 용도별, 데이터 종류별, 업종별, 지역별 전망과 예측(2023-2030년)

The Global AI Data Management Market size is expected to reach $100.1 billion by 2030, rising at a market growth of 22.3% CAGR during the forecast period.

AI algorithms analyze sensor data from machinery to predict equipment failures before they occur. Therefore, the manufacturing segment captured $1,613.6 million revenue in the market in 2022. This enables proactive maintenance, reducing downtime and preventing costly breakdowns. AI-powered computer vision systems can inspect and analyze products for defects on the production line. This ensures high-quality manufacturing and minimizes the chances of faulty products reaching the market. AI algorithms analyze historical sales data, market trends, and other relevant factors to forecast demand more accurately. This allows manufacturers to adjust production levels, minimize overstock, and effectively meet customer demand.

The major strategies followed by the market participants are Partnerships, Collaborations & Agreements as the key developmental strategy to keep pace with the changing demands of end users. For instance, In August, 2023, Salesforce, Inc. signed a collaboration with IBM Corporation. Through this collaboration, both companies would assist clients in transforming customer, partner, and employee experiences while ensuring the security of their data. Additionally, In March, 2023, Amazon Web Services, Inc., a subsidiary of Amazon.com, Inc. company, joined hands with NVIDIA Corporation. The new product offers 20 exaFLOPS of compute performance that aids training and building deep learning models.

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC (Alphabet Inc.) are the forerunners in the market. In October, 2023, Microsoft Corporation joined hands with Domino's Pizza, Inc., an American multinational pizza restaurant chain. Under this collaboration, the companies enhanced the Azure OpenAI and Microsoft Cloud Services to improve customer experiences through a personalized and simplified ordering process. Additionally, the collaboration assisted the store managers in saving time on several tasks, like inventory management and staff scheduling. Companies such as Oracle Corporation, SAP SE, Teradata Corporation are some of the key innovators in the market.

Market Growth Factors

Cloud computing platforms offer scalable and flexible infrastructure, allowing associations to scale up or down based on their data management needs. This scalability aligns well with the dynamic requirements of AI applications, especially those involving large datasets and complex computations. Cloud-based solutions provide a cost-effective alternative to traditional on-premises infrastructure. Organizations can leverage cloud services pay-as-you-go, avoiding upfront capital investments and reducing operational costs. Moreover, cloud providers offer various AI services, such as machine learning APIs and pre-trained models. Organizations can integrate these services into their AI data management workflows, enhancing functionality and reducing the need for in-house model development. Thus, the rising adoption of cloud computing provides a foundation for the growth of the market.

Personalization is crucial in marketing strategies. AI data management allows businesses to analyze customer data, preferences, and behavior to create targeted and personalized marketing campaigns. This includes personalized emails, advertisements, and content recommendations. In the e-commerce and retail sectors, personalization is key to enhancing the online shopping experience. This enables businesses to analyze customer purchase history, browsing patterns, and preferences to offer personalized product recommendations and promotions. This is used to personalize content across various platforms. As companies strive to satisfy the expectations of individual consumers and users, the market continues to rise.

Market Restraining Factors

Implementing AI data management often requires significant investments in infrastructure, including powerful computing resources, storage systems, and networking capabilities. Organizations may find setting up or upgrading their infrastructure to support AI applications is expensive. The costs of acquiring AI technologies, software licenses, and proprietary algorithms can be substantial. Organizations may need to pay licensing fees for advanced AI tools, which can contribute to the overall high cost of implementation. Tailoring these solutions to meet organizational needs and integrating them with existing systems can contribute to higher costs. Customization and integration efforts often require specialized expertise and resources. As a result, the above aspects will cause the market growth to decline.

By Deployment Mode Analysis

Based on deployment mode, the market is divided into cloud and on-premise. The on-premise segment garnered a significant revenue share in the market in 2022. On-premise deployment provides organizations with direct control over their data and infrastructure. This level of control is particularly crucial for businesses dealing with sensitive or regulated data that must be kept on-premises for compliance reasons. On-premise solutions allow organizations to customize and tailor these systems according to their specific needs. This is particularly helpful for businesses with unique data processing requirements or specialized workflows. On-premise deployment often results in lower latency as data does not need to travel over the internet to external servers.

By Offering Analysis

On the basis of offering, the market is segmented into platform, software tools, and services. In 2022, the platform segment dominated the market with the maximum revenue share. Platform-type solutions provide a centralized and integrated environment for managing diverse aspects of AI data management. This includes data integration, quality management, analytics, and other functionalities. Platforms are designed to scale horizontally to handle growing data volumes and evolving business requirements. They often support flexible deployment options, including on-premises, cloud, or hybrid architectures. AI-driven platforms automate routine data management tasks such as cleansing, validation, and integration. Automation reduces manual effort, minimizes errors, and enhances overall operational efficiency.

By Technology Analysis

On the basis of technology, the market is classified into machine learning, natural language processing, computer vision, and context awareness. In 2022, the context awareness segment witnessed a considerable revenue share in the market. Context-aware AI systems can analyze user behavior, preferences, and historical interactions with data to understand the context in which they are accessing or manipulating information. These systems equipped with context awareness can dynamically adjust data processing methods based on the specific context of the data. For example, data cleansing algorithms can be adapted based on the quality and source of incoming data. Context awareness allows for the dynamic adjustment of data access policies based on the current context. For instance, they tighten security measures in sensitive contexts or relax restrictions in less critical situations.

By Application Analysis

Based on application, the market is categorised into data augmentation & exploratory data analysis, data anonymization & customization, imputation predictive modeling, data validation & noise reduction, process automation, and others. The data augmentation and exploratory data analysis segment acquired a substantial revenue share in the market in 2022. These tools facilitate data enrichment by adding new data points or features to existing datasets. This augmentation process can significantly improve the performance of machine learning models trained on the enriched data, enhancing their predictive capabilities and robustness. Moreover, these tools excel in integrating data from various sources and formats, simplifying the analysis of diverse datasets in EDA applications. This integration capability is essential for deriving comprehensive insights and making informed decisions based on a holistic view of the data.

By Data Type Analysis

By data type, the market is fragmented into audio data, speech & voice data, image data, text data, and video data. The speech & voice data segment recorded a remarkable revenue share in the market in 2022. This is extensively used in speech distinction systems to convert spoken language into text. This technology is applied in virtual assistants, transcription services, voice-activated devices, and more. AI-driven voice search technology uses natural language processing to understand and respond to spoken queries. Organizations can optimize content for voice search to improve visibility in search engine results. This is employed in speech analytics solutions to analyze and derive insights from customer service calls. This includes sentiment analysis, identification of trends, and monitoring agent performance.

By Vertical Analysis

By vertical, the market is segmented into BFSI, retail & eCommerce, government & public sector, healthcare & life sciences, manufacturing, energy & utilities, media & entertainment, IT & telecom, and others. The retail & e-commerce segment procured a remarkable revenue share in the market in 2022. AI analyzes customer data to deliver personalized product recommendations, including purchase history, browsing behavior, and preferences. This enhances the shopping experience, increases customer satisfaction, and encourages repeat business. AI analyzes transaction data and user behavior to detect and prevent fraud, such as unauthorized transactions or account takeovers. This improves security and builds trust among consumers. AI enables visual search capabilities, allowing customers to search for products using images. Image recognition technology can also tag products and automate catalog management.

By Regional Analysis

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. In 2022, the North America region registered the highest revenue share in the market. The market in North America is a global powerhouse characterized by the innovation and technological ability of the US and Canada. The United States, with Silicon Valley as a prominent hub, has been a breeding ground for AI startups and tech giants pioneering cutting-edge solutions in data management. The market in North America thrives on a culture of innovation, strong R&D initiatives, and a business landscape that readily embraces AI-driven data management to enhance operations, decision-making, and overall efficiency across diverse industries.

Recent Strategies Deployed in the Market

• Sep-2023: Salesforce, Inc. expanded its strategic partnership with Google LLC, an American multinational technology company focusing on artificial intelligence, to integrate Salesforce, the leading AI CRM, and Google Workspace, the widely used productivity tool. The collaboration introduced bidirectional integrations, enabling customers to merge context from Salesforce and Google Workspace, including Google Calendar, Docs, Meet, Gmail, and more, to enhance generative AI experiences across platforms.
• Mar-2023: Google LLC formed a partnership with Replit, Inc., an online integrated development environment. Through this partnership, the developers of Replit got to access Google Cloud infrastructure, services, and foundation models through Ghostwriter, while the collaborative code editing platform of Replit was accessed by Google Cloud and Workplace developers. Additionally, the collaboration advanced the creation of generative AI applications and created an open ecosystem for generative AI.
• May-2023: IBM Corporation introduced "IBM Watsonx". This will empower businesses to expand and expedite the influence of state-of-the-art AI by utilizing trustworthy data. Additionally, IBM would enhance the development of a GPU-as-a-service infrastructure, designed to cater to AI-intensive workloads. This initiative aims to assist clients in the implementation of AI.
• Dec-2023: Salesforce, Inc. took over Spiff, a company offering innovative Incentive Compensation Management (ICM) software and a robust processing engine to enable scalable automation of commission management. Through this acquisition, Spiff organization would be integrated into Sales Cloud, collaborating to elevate Salesforce's Sales Performance Management solutions, delivering customers a reliable platform for heightened visibility, enhanced sales effectiveness, and accelerated growth.
• May-2023: IBM Corporation completed the acquisition of Polar Security Inc., a leading provider of cloud data protection solutions. Through this acquisition, the DSPM technology of Polar Security was combined with the Guardium data security product portfolio of IBM. Additionally, the acquisition provided the security teams with a data security platform that covers all data types across all storage locations.

List of Key Companies Profiled

• Microsoft Corporation
• IBM Corporation
• Amazon Web Services, Inc.(Amazon.Com, Inc.)
• Google LLC (Alphabet Inc.)
• Oracle Corporation
• Salesforce, Inc.
• SAP SE
• Hewlett Packard enterprise Company
• Snowflake Inc.
• Teradata Corporation

Global AI Data Management Market Report Segmentation

By Deployment Mode

• Cloud
• On-premise

By Offering

• Platform
• Software Tools
• Services

By Technology

• Machine Learning
• Natural Language Processing
• Computer Vision
• Context Awareness

By Application

• Process Automation
• Data Validation & Noise Reduction
• Data Anonymization & Customization
• Data Augmentation & Exploratory Data Analysis
• Imputation Predictive Modeling & Others

By Data Type

• Image Data
• Video Data
• Text Data
• Speech & Voice Data
• Audio Data

By Vertical

• BFSI
• Government & Public Sector
• Energy & Utilities
• IT & Telecom
• Media & Entertainment
• Manufacturing
• Retail & eCommerce
• Healthcare & Lifesciences
• Others

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

• 1.1 Market Definition
• 1.2 Objectives
• 1.3 Market Scope
• 1.4 Segmentation
  • 1.4.1 Global AI Data Management Market, by Deployment Mode
  • 1.4.2 Global AI Data Management Market, by Offering
  • 1.4.3 Global AI Data Management Market, by Technology
  • 1.4.4 Global AI Data Management Market, by Application
  • 1.4.5 Global AI Data Management Market, by Data Type
  • 1.4.6 Global AI Data Management Market, by Vertical
  • 1.4.7 Global AI Data Management Market, by Geography
• 1.5 Methodology for the research

Chapter 2. Market at a Glance

• 2.1 Key Highlights

Chapter 3. Market Overview

• 3.1 Introduction
  • 3.1.1 Overview
    • 3.1.1.1 Market Composition and Scenario
• 3.2 Key Factors Impacting the Market
  • 3.2.1 Market Drivers
  • 3.2.2 Market Restraints
  • 3.2.3 Market Opportunities
  • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

• 4.1 KBV Cardinal Matrix
• 4.2 Recent Industry Wide Strategic Developments
  • 4.2.1 Partnerships, Collaborations and Agreements
  • 4.2.2 Product Launches and Product Expansions
  • 4.2.3 Acquisition and Mergers
• 4.3 Market Share Analysis, 2022
• 4.4 Top Winning Strategies
  • 4.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
  • 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2022, May - 2023, Oct) Leading Players
• 4.5 Porter's Five Forces Analysis

Chapter 5. Global AI Data Management Market by Deployment Mode

• 5.1 Global Cloud Market by Region
• 5.2 Global On-premise Market by Region

Chapter 6. Global AI Data Management Market by Offering

• 6.1 Global Platform Market by Region
• 6.2 Global Software Tools Market by Region
• 6.3 Global Services Market by Region

Chapter 7. Global AI Data Management Market by Technology

• 7.1 Global Machine Learning Market by Region
• 7.2 Global Natural Language Processing Market by Region
• 7.3 Global Computer Vision Market by Region
• 7.4 Global Context Awareness Market by Region

Chapter 8. Global AI Data Management Market by Application

• 8.1 Global Process Automation Market by Region
• 8.2 Global Data Validation & Noise Reduction Market by Region
• 8.3 Global Data Anonymization & Customization Market by Region
• 8.4 Global Data Augmentation & Exploratory Data Analysis Market by Region
• 8.5 Global Imputation Predictive Modeling & Others Market by Region

Chapter 9. Global AI Data Management Market by Data Type

• 9.1 Global Image Data Market by Region
• 9.2 Global Video Data Market by Region
• 9.3 Global Text Data Market by Region
• 9.4 Global Speech & Voice Data Market by Region
• 9.5 Global Audio Data Market by Region

Chapter 10. Global AI Data Management Market by Vertical

• 10.1 Global BFSI Market by Region
• 10.2 Global Government & Public Sector Market by Region
• 10.3 Global Energy & Utilities Market by Region
• 10.4 Global IT & Telecom Market by Region
• 10.5 Global Media & Entertainment Market by Region
• 10.6 Global Manufacturing Market by Region
• 10.7 Global Retail & eCommerce Market by Region
• 10.8 Global Healthcare & Lifesciences Market by Region
• 10.9 Global Others Market by Region

Chapter 11. Global AI Data Management Market by Region

• 11.1 North America AI Data Management Market
  • 11.1.1 North America AI Data Management Market by Deployment Mode
    • 11.1.1.1 North America Cloud Market by Region
    • 11.1.1.2 North America On-premise Market by Region
  • 11.1.2 North America AI Data Management Market by Offering
    • 11.1.2.1 North America Platform Market by Country
    • 11.1.2.2 North America Software Tools Market by Country
    • 11.1.2.3 North America Services Market by Country
  • 11.1.3 North America AI Data Management Market by Technology
    • 11.1.3.1 North America Machine Learning Market by Country
    • 11.1.3.2 North America Natural Language Processing Market by Country
    • 11.1.3.3 North America Computer Vision Market by Country
    • 11.1.3.4 North America Context Awareness Market by Country
  • 11.1.4 North America AI Data Management Market by Application
    • 11.1.4.1 North America Process Automation Market by Country
    • 11.1.4.2 North America Data Validation & Noise Reduction Market by Country
    • 11.1.4.3 North America Data Anonymization & Customization Market by Country
    • 11.1.4.4 North America Data Augmentation & Exploratory Data Analysis Market by Country
    • 11.1.4.5 North America Imputation Predictive Modeling & Others Market by Country
  • 11.1.5 North America AI Data Management Market by Data Type
    • 11.1.5.1 North America Image Data Market by Country
    • 11.1.5.2 North America Video Data Market by Country
    • 11.1.5.3 North America Text Data Market by Country
    • 11.1.5.4 North America Speech & Voice Data Market by Country
    • 11.1.5.5 North America Audio Data Market by Country
  • 11.1.6 North America AI Data Management Market by Vertical
    • 11.1.6.1 North America BFSI Market by Country
    • 11.1.6.2 North America Government & Public Sector Market by Country
    • 11.1.6.3 North America Energy & Utilities Market by Country
    • 11.1.6.4 North America IT & Telecom Market by Country
    • 11.1.6.5 North America Media & Entertainment Market by Country
    • 11.1.6.6 North America Manufacturing Market by Country
    • 11.1.6.7 North America Retail & eCommerce Market by Country
    • 11.1.6.8 North America Healthcare & Lifesciences Market by Country
    • 11.1.6.9 North America Others Market by Country
  • 11.1.7 North America AI Data Management Market by Country
    • 11.1.7.1 US AI Data Management Market
      • 11.1.7.1.1 US AI Data Management Market by Deployment Mode
      • 11.1.7.1.2 US AI Data Management Market by Offering
      • 11.1.7.1.3 US AI Data Management Market by Technology
      • 11.1.7.1.4 US AI Data Management Market by Application
      • 11.1.7.1.5 US AI Data Management Market by Data Type
      • 11.1.7.1.6 US AI Data Management Market by Vertical
    • 11.1.7.2 Canada AI Data Management Market
      • 11.1.7.2.1 Canada AI Data Management Market by Deployment Mode
      • 11.1.7.2.2 Canada AI Data Management Market by Offering
      • 11.1.7.2.3 Canada AI Data Management Market by Technology
      • 11.1.7.2.4 Canada AI Data Management Market by Application
      • 11.1.7.2.5 Canada AI Data Management Market by Data Type
      • 11.1.7.2.6 Canada AI Data Management Market by Vertical
    • 11.1.7.3 Mexico AI Data Management Market
      • 11.1.7.3.1 Mexico AI Data Management Market by Deployment Mode
      • 11.1.7.3.2 Mexico AI Data Management Market by Offering
      • 11.1.7.3.3 Mexico AI Data Management Market by Technology
      • 11.1.7.3.4 Mexico AI Data Management Market by Application
      • 11.1.7.3.5 Mexico AI Data Management Market by Data Type
      • 11.1.7.3.6 Mexico AI Data Management Market by Vertical
    • 11.1.7.4 Rest of North America AI Data Management Market
      • 11.1.7.4.1 Rest of North America AI Data Management Market by Deployment Mode
      • 11.1.7.4.2 Rest of North America AI Data Management Market by Offering
      • 11.1.7.4.3 Rest of North America AI Data Management Market by Technology
      • 11.1.7.4.4 Rest of North America AI Data Management Market by Application
      • 11.1.7.4.5 Rest of North America AI Data Management Market by Data Type
      • 11.1.7.4.6 Rest of North America AI Data Management Market by Vertical
• 11.2 Europe AI Data Management Market
  • 11.2.1 Europe AI Data Management Market by Deployment Mode
    • 11.2.1.1 Europe Cloud Market by Country
    • 11.2.1.2 Europe On-premise Market by Country
  • 11.2.2 Europe AI Data Management Market by Offering
    • 11.2.2.1 Europe Platform Market by Country
    • 11.2.2.2 Europe Software Tools Market by Country
    • 11.2.2.3 Europe Services Market by Country
  • 11.2.3 Europe AI Data Management Market by Technology
    • 11.2.3.1 Europe Machine Learning Market by Country
    • 11.2.3.2 Europe Natural Language Processing Market by Country
    • 11.2.3.3 Europe Computer Vision Market by Country
    • 11.2.3.4 Europe Context Awareness Market by Country
  • 11.2.4 Europe AI Data Management Market by Application
    • 11.2.4.1 Europe Process Automation Market by Country
    • 11.2.4.2 Europe Data Validation & Noise Reduction Market by Country
    • 11.2.4.3 Europe Data Anonymization & Customization Market by Country
    • 11.2.4.4 Europe Data Augmentation & Exploratory Data Analysis Market by Country
    • 11.2.4.5 Europe Imputation Predictive Modeling & Others Market by Country
  • 11.2.5 Europe AI Data Management Market by Data Type
    • 11.2.5.1 Europe Image Data Market by Country
    • 11.2.5.2 Europe Video Data Market by Country
    • 11.2.5.3 Europe Text Data Market by Country
    • 11.2.5.4 Europe Speech & Voice Data Market by Country
    • 11.2.5.5 Europe Audio Data Market by Country
  • 11.2.6 Europe AI Data Management Market by Vertical
    • 11.2.6.1 Europe BFSI Market by Country
    • 11.2.6.2 Europe Government & Public Sector Market by Country
    • 11.2.6.3 Europe Energy & Utilities Market by Country
    • 11.2.6.4 Europe IT & Telecom Market by Country
    • 11.2.6.5 Europe Media & Entertainment Market by Country
    • 11.2.6.6 Europe Manufacturing Market by Country
    • 11.2.6.7 Europe Retail & eCommerce Market by Country
    • 11.2.6.8 Europe Healthcare & Lifesciences Market by Country
    • 11.2.6.9 Europe Others Market by Country
  • 11.2.7 Europe AI Data Management Market by Country
    • 11.2.7.1 Germany AI Data Management Market
      • 11.2.7.1.1 Germany AI Data Management Market by Deployment Mode
      • 11.2.7.1.2 Germany AI Data Management Market by Offering
      • 11.2.7.1.3 Germany AI Data Management Market by Technology
      • 11.2.7.1.4 Germany AI Data Management Market by Application
      • 11.2.7.1.5 Germany AI Data Management Market by Data Type
      • 11.2.7.1.6 Germany AI Data Management Market by Vertical
    • 11.2.7.2 UK AI Data Management Market
      • 11.2.7.2.1 UK AI Data Management Market by Deployment Mode
      • 11.2.7.2.2 UK AI Data Management Market by Offering
      • 11.2.7.2.3 UK AI Data Management Market by Technology
      • 11.2.7.2.4 UK AI Data Management Market by Application
      • 11.2.7.2.5 UK AI Data Management Market by Data Type
      • 11.2.7.2.6 UK AI Data Management Market by Vertical
    • 11.2.7.3 France AI Data Management Market
      • 11.2.7.3.1 France AI Data Management Market by Deployment Mode
      • 11.2.7.3.2 France AI Data Management Market by Offering
      • 11.2.7.3.3 France AI Data Management Market by Technology
      • 11.2.7.3.4 France AI Data Management Market by Application
      • 11.2.7.3.5 France AI Data Management Market by Data Type
      • 11.2.7.3.6 France AI Data Management Market by Vertical
    • 11.2.7.4 Russia AI Data Management Market
      • 11.2.7.4.1 Russia AI Data Management Market by Deployment Mode
      • 11.2.7.4.2 Russia AI Data Management Market by Offering
      • 11.2.7.4.3 Russia AI Data Management Market by Technology
      • 11.2.7.4.4 Russia AI Data Management Market by Application
      • 11.2.7.4.5 Russia AI Data Management Market by Data Type
      • 11.2.7.4.6 Russia AI Data Management Market by Vertical
    • 11.2.7.5 Spain AI Data Management Market
      • 11.2.7.5.1 Spain AI Data Management Market by Deployment Mode
      • 11.2.7.5.2 Spain AI Data Management Market by Offering
      • 11.2.7.5.3 Spain AI Data Management Market by Technology
      • 11.2.7.5.4 Spain AI Data Management Market by Application
      • 11.2.7.5.5 Spain AI Data Management Market by Data Type
      • 11.2.7.5.6 Spain AI Data Management Market by Vertical
    • 11.2.7.6 Italy AI Data Management Market
      • 11.2.7.6.1 Italy AI Data Management Market by Deployment Mode
      • 11.2.7.6.2 Italy AI Data Management Market by Offering
      • 11.2.7.6.3 Italy AI Data Management Market by Technology
      • 11.2.7.6.4 Italy AI Data Management Market by Application
      • 11.2.7.6.5 Italy AI Data Management Market by Data Type
      • 11.2.7.6.6 Italy AI Data Management Market by Vertical
    • 11.2.7.7 Rest of Europe AI Data Management Market
      • 11.2.7.7.1 Rest of Europe AI Data Management Market by Deployment Mode
      • 11.2.7.7.2 Rest of Europe AI Data Management Market by Offering
      • 11.2.7.7.3 Rest of Europe AI Data Management Market by Technology
      • 11.2.7.7.4 Rest of Europe AI Data Management Market by Application
      • 11.2.7.7.5 Rest of Europe AI Data Management Market by Data Type
      • 11.2.7.7.6 Rest of Europe AI Data Management Market by Vertical
• 11.3 Asia Pacific AI Data Management Market
  • 11.3.1 Asia Pacific AI Data Management Market by Deployment Mode
    • 11.3.1.1 Asia Pacific Cloud Market by Country
    • 11.3.1.2 Asia Pacific On-premise Market by Country
  • 11.3.2 Asia Pacific AI Data Management Market by Offering
    • 11.3.2.1 Asia Pacific Platform Market by Country
    • 11.3.2.2 Asia Pacific Software Tools Market by Country
    • 11.3.2.3 Asia Pacific Services Market by Country
  • 11.3.3 Asia Pacific AI Data Management Market by Technology
    • 11.3.3.1 Asia Pacific Machine Learning Market by Country
    • 11.3.3.2 Asia Pacific Natural Language Processing Market by Country
    • 11.3.3.3 Asia Pacific Computer Vision Market by Country
    • 11.3.3.4 Asia Pacific Context Awareness Market by Country
  • 11.3.4 Asia Pacific AI Data Management Market by Application
    • 11.3.4.1 Asia Pacific Process Automation Market by Country
    • 11.3.4.2 Asia Pacific Data Validation & Noise Reduction Market by Country
    • 11.3.4.3 Asia Pacific Data Anonymization & Customization Market by Country
    • 11.3.4.4 Asia Pacific Data Augmentation & Exploratory Data Analysis Market by Country
    • 11.3.4.5 Asia Pacific Imputation Predictive Modeling & Others Market by Country
  • 11.3.5 Asia Pacific AI Data Management Market by Data Type
    • 11.3.5.1 Asia Pacific Image Data Market by Country
    • 11.3.5.2 Asia Pacific Video Data Market by Country
    • 11.3.5.3 Asia Pacific Text Data Market by Country
    • 11.3.5.4 Asia Pacific Speech & Voice Data Market by Country
    • 11.3.5.5 Asia Pacific Audio Data Market by Country
  • 11.3.6 Asia Pacific AI Data Management Market by Vertical
    • 11.3.6.1 Asia Pacific BFSI Market by Country
    • 11.3.6.2 Asia Pacific Government & Public Sector Market by Country
    • 11.3.6.3 Asia Pacific Energy & Utilities Market by Country
    • 11.3.6.4 Asia Pacific IT & Telecom Market by Country
    • 11.3.6.5 Asia Pacific Media & Entertainment Market by Country
    • 11.3.6.6 Asia Pacific Manufacturing Market by Country
    • 11.3.6.7 Asia Pacific Retail & eCommerce Market by Country
    • 11.3.6.8 Asia Pacific Healthcare & Lifesciences Market by Country
    • 11.3.6.9 Asia Pacific Others Market by Country
  • 11.3.7 Asia Pacific AI Data Management Market by Country
    • 11.3.7.1 China AI Data Management Market
      • 11.3.7.1.1 China AI Data Management Market by Deployment Mode
      • 11.3.7.1.2 China AI Data Management Market by Offering
      • 11.3.7.1.3 China AI Data Management Market by Technology
      • 11.3.7.1.4 China AI Data Management Market by Application
      • 11.3.7.1.5 China AI Data Management Market by Data Type
      • 11.3.7.1.6 China AI Data Management Market by Vertical
    • 11.3.7.2 Japan AI Data Management Market
      • 11.3.7.2.1 Japan AI Data Management Market by Deployment Mode
      • 11.3.7.2.2 Japan AI Data Management Market by Offering
      • 11.3.7.2.3 Japan AI Data Management Market by Technology
      • 11.3.7.2.4 Japan AI Data Management Market by Application
      • 11.3.7.2.5 Japan AI Data Management Market by Data Type
      • 11.3.7.2.6 Japan AI Data Management Market by Vertical
    • 11.3.7.3 India AI Data Management Market
      • 11.3.7.3.1 India AI Data Management Market by Deployment Mode
      • 11.3.7.3.2 India AI Data Management Market by Offering
      • 11.3.7.3.3 India AI Data Management Market by Technology
      • 11.3.7.3.4 India AI Data Management Market by Application
      • 11.3.7.3.5 India AI Data Management Market by Data Type
      • 11.3.7.3.6 India AI Data Management Market by Vertical
    • 11.3.7.4 South Korea AI Data Management Market
      • 11.3.7.4.1 South Korea AI Data Management Market by Deployment Mode
      • 11.3.7.4.2 South Korea AI Data Management Market by Offering
      • 11.3.7.4.3 South Korea AI Data Management Market by Technology
      • 11.3.7.4.4 South Korea AI Data Management Market by Application
      • 11.3.7.4.5 South Korea AI Data Management Market by Data Type
      • 11.3.7.4.6 South Korea AI Data Management Market by Vertical
    • 11.3.7.5 Singapore AI Data Management Market
      • 11.3.7.5.1 Singapore AI Data Management Market by Deployment Mode
      • 11.3.7.5.2 Singapore AI Data Management Market by Offering
      • 11.3.7.5.3 Singapore AI Data Management Market by Technology
      • 11.3.7.5.4 Singapore AI Data Management Market by Application
      • 11.3.7.5.5 Singapore AI Data Management Market by Data Type
      • 11.3.7.5.6 Singapore AI Data Management Market by Vertical
    • 11.3.7.6 Malaysia AI Data Management Market
      • 11.3.7.6.1 Malaysia AI Data Management Market by Deployment Mode
      • 11.3.7.6.2 Malaysia AI Data Management Market by Offering
      • 11.3.7.6.3 Malaysia AI Data Management Market by Technology
      • 11.3.7.6.4 Malaysia AI Data Management Market by Application
      • 11.3.7.6.5 Malaysia AI Data Management Market by Data Type
      • 11.3.7.6.6 Malaysia AI Data Management Market by Vertical
    • 11.3.7.7 Rest of Asia Pacific AI Data Management Market
      • 11.3.7.7.1 Rest of Asia Pacific AI Data Management Market by Deployment Mode
      • 11.3.7.7.2 Rest of Asia Pacific AI Data Management Market by Offering
      • 11.3.7.7.3 Rest of Asia Pacific AI Data Management Market by Technology
      • 11.3.7.7.4 Rest of Asia Pacific AI Data Management Market by Application
      • 11.3.7.7.5 Rest of Asia Pacific AI Data Management Market by Data Type
      • 11.3.7.7.6 Rest of Asia Pacific AI Data Management Market by Vertical
• 11.4 LAMEA AI Data Management Market
  • 11.4.1 LAMEA AI Data Management Market by Deployment Mode
    • 11.4.1.1 LAMEA Cloud Market by Country
    • 11.4.1.2 LAMEA On-premise Market by Country
  • 11.4.2 LAMEA AI Data Management Market by Offering
    • 11.4.2.1 LAMEA Platform Market by Country
    • 11.4.2.2 LAMEA Software Tools Market by Country
    • 11.4.2.3 LAMEA Services Market by Country
  • 11.4.3 LAMEA AI Data Management Market by Technology
    • 11.4.3.1 LAMEA Machine Learning Market by Country
    • 11.4.3.2 LAMEA Natural Language Processing Market by Country
    • 11.4.3.3 LAMEA Computer Vision Market by Country
    • 11.4.3.4 LAMEA Context Awareness Market by Country
  • 11.4.4 LAMEA AI Data Management Market by Application
    • 11.4.4.1 LAMEA Process Automation Market by Country
    • 11.4.4.2 LAMEA Data Validation & Noise Reduction Market by Country
    • 11.4.4.3 LAMEA Data Anonymization & Customization Market by Country
    • 11.4.4.4 LAMEA Data Augmentation & Exploratory Data Analysis Market by Country
    • 11.4.4.5 LAMEA Imputation Predictive Modeling & Others Market by Country
  • 11.4.5 LAMEA AI Data Management Market by Data Type
    • 11.4.5.1 LAMEA Image Data Market by Country
    • 11.4.5.2 LAMEA Video Data Market by Country
    • 11.4.5.3 LAMEA Text Data Market by Country
    • 11.4.5.4 LAMEA Speech & Voice Data Market by Country
    • 11.4.5.5 LAMEA Audio Data Market by Country
  • 11.4.6 LAMEA AI Data Management Market by Vertical
    • 11.4.6.1 LAMEA BFSI Market by Country
    • 11.4.6.2 LAMEA Government & Public Sector Market by Country
    • 11.4.6.3 LAMEA Energy & Utilities Market by Country
    • 11.4.6.4 LAMEA IT & Telecom Market by Country
    • 11.4.6.5 LAMEA Media & Entertainment Market by Country
    • 11.4.6.6 LAMEA Manufacturing Market by Country
    • 11.4.6.7 LAMEA Retail & eCommerce Market by Country
    • 11.4.6.8 LAMEA Healthcare & Lifesciences Market by Country
    • 11.4.6.9 LAMEA Others Market by Country
  • 11.4.7 LAMEA AI Data Management Market by Country
    • 11.4.7.1 Brazil AI Data Management Market
      • 11.4.7.1.1 Brazil AI Data Management Market by Deployment Mode
      • 11.4.7.1.2 Brazil AI Data Management Market by Offering
      • 11.4.7.1.3 Brazil AI Data Management Market by Technology
      • 11.4.7.1.4 Brazil AI Data Management Market by Application
      • 11.4.7.1.5 Brazil AI Data Management Market by Data Type
      • 11.4.7.1.6 Brazil AI Data Management Market by Vertical
    • 11.4.7.2 Argentina AI Data Management Market
      • 11.4.7.2.1 Argentina AI Data Management Market by Deployment Mode
      • 11.4.7.2.2 Argentina AI Data Management Market by Offering
      • 11.4.7.2.3 Argentina AI Data Management Market by Technology
      • 11.4.7.2.4 Argentina AI Data Management Market by Application
      • 11.4.7.2.5 Argentina AI Data Management Market by Data Type
      • 11.4.7.2.6 Argentina AI Data Management Market by Vertical
    • 11.4.7.3 UAE AI Data Management Market
      • 11.4.7.3.1 UAE AI Data Management Market by Deployment Mode
      • 11.4.7.3.2 UAE AI Data Management Market by Offering
      • 11.4.7.3.3 UAE AI Data Management Market by Technology
      • 11.4.7.3.4 UAE AI Data Management Market by Application
      • 11.4.7.3.5 UAE AI Data Management Market by Data Type
      • 11.4.7.3.6 UAE AI Data Management Market by Vertical
    • 11.4.7.4 Saudi Arabia AI Data Management Market
      • 11.4.7.4.1 Saudi Arabia AI Data Management Market by Deployment Mode
      • 11.4.7.4.2 Saudi Arabia AI Data Management Market by Offering
      • 11.4.7.4.3 Saudi Arabia AI Data Management Market by Technology
      • 11.4.7.4.4 Saudi Arabia AI Data Management Market by Application
      • 11.4.7.4.5 Saudi Arabia AI Data Management Market by Data Type
      • 11.4.7.4.6 Saudi Arabia AI Data Management Market by Vertical
    • 11.4.7.5 South Africa AI Data Management Market
      • 11.4.7.5.1 South Africa AI Data Management Market by Deployment Mode
      • 11.4.7.5.2 South Africa AI Data Management Market by Offering
      • 11.4.7.5.3 South Africa AI Data Management Market by Technology
      • 11.4.7.5.4 South Africa AI Data Management Market by Application
      • 11.4.7.5.5 South Africa AI Data Management Market by Data Type
      • 11.4.7.5.6 South Africa AI Data Management Market by Vertical
    • 11.4.7.6 Nigeria AI Data Management Market
      • 11.4.7.6.1 Nigeria AI Data Management Market by Deployment Mode
      • 11.4.7.6.2 Nigeria AI Data Management Market by Offering
      • 11.4.7.6.3 Nigeria AI Data Management Market by Technology
      • 11.4.7.6.4 Nigeria AI Data Management Market by Application
      • 11.4.7.6.5 Nigeria AI Data Management Market by Data Type
      • 11.4.7.6.6 Nigeria AI Data Management Market by Vertical
    • 11.4.7.7 Rest of LAMEA AI Data Management Market
      • 11.4.7.7.1 Rest of LAMEA AI Data Management Market by Deployment Mode
      • 11.4.7.7.2 Rest of LAMEA AI Data Management Market by Offering
      • 11.4.7.7.3 Rest of LAMEA AI Data Management Market by Technology
      • 11.4.7.7.4 Rest of LAMEA AI Data Management Market by Application
      • 11.4.7.7.5 Rest of LAMEA AI Data Management Market by Data Type
      • 11.4.7.7.6 Rest of LAMEA AI Data Management Market by Vertical

Chapter 12. Company Profiles

• 12.1 Microsoft Corporation
  • 12.1.1 Company Overview
  • 12.1.2 Financial Analysis
  • 12.1.3 Segmental and Regional Analysis
  • 12.1.4 Research & Development Expenses
  • 12.1.5 Recent strategies and developments:
    • 12.1.5.1 Partnerships, Collaborations, and Agreements:
    • 12.1.5.2 Acquisition and Mergers:
  • 12.1.6 SWOT Analysis
• 12.2 IBM Corporation
  • 12.2.1 Company Overview
  • 12.2.2 Financial Analysis
  • 12.2.3 Regional & Segmental Analysis
  • 12.2.4 Research & Development Expenses
  • 12.2.5 Recent strategies and developments:
    • 12.2.5.1 Product Launches and Product Expansions:
    • 12.2.5.2 Acquisition and Mergers:
  • 12.2.6 SWOT Analysis
• 12.3 Amazon Web Services, Inc. (Amazon.com, Inc.)
  • 12.3.1 Company Overview
  • 12.3.2 Financial Analysis
  • 12.3.3 Segmental Analysis
  • 12.3.4 Recent strategies and developments:
    • 12.3.4.1 Partnerships, Collaborations, and Agreements:
  • 12.3.5 SWOT Analysis
• 12.4 Google LLC (Alphabet Inc.)
  • 12.4.1 Company Overview
  • 12.4.2 Financial Analysis
  • 12.4.3 Segmental and Regional Analysis
  • 12.4.4 Research & Development Expense
  • 12.4.5 Recent strategies and developments:
    • 12.4.5.1 Partnerships, Collaborations, and Agreements:
    • 12.4.5.2 Product Launches and Product Expansions:
  • 12.4.6 SWOT Analysis
• 12.5 Oracle Corporation
  • 12.5.1 Company Overview
  • 12.5.2 Financial Analysis
  • 12.5.3 Segmental and Regional Analysis
  • 12.5.4 Research & Development Expense
  • 12.5.5 Recent strategies and developments:
    • 12.5.5.1 Partnerships, Collaborations, and Agreements:
  • 12.5.6 SWOT Analysis
• 12.6 Salesforce, Inc.
  • 12.6.1 Company Overview
  • 12.6.2 Financial Analysis
  • 12.6.3 Regional Analysis
  • 12.6.4 Research & Development Expense
  • 12.6.5 Recent strategies and developments:
    • 12.6.5.1 Partnerships, Collaborations, and Agreements:
    • 12.6.5.2 Acquisition and Mergers:
  • 12.6.6 SWOT Analysis
• 12.7 SAP SE
  • 12.7.1 Company Overview
  • 12.7.2 Financial Analysis
  • 12.7.3 Segmental and Regional Analysis
  • 12.7.4 Research & Development Expense
  • 12.7.5 Recent strategies and developments:
    • 12.7.5.1 Acquisition and Mergers:
  • 12.7.6 SWOT Analysis
• 12.8 Hewlett Packard Enterprise Company
  • 12.8.1 Company Overview
  • 12.8.2 Financial Analysis
  • 12.8.3 Segmental and Regional Analysis
  • 12.8.4 Research & Development Expense
  • 12.8.5 Recent strategies and developments:
    • 12.8.5.1 Acquisition and Mergers:
  • 12.8.6 SWOT Analysis
• 12.9 Snowflake, Inc.
  • 12.9.1 Company Overview
  • 12.9.2 Financial Analysis
  • 12.9.3 Regional Analysis
  • 12.9.4 Research & Development Expenses
  • 12.9.5 SWOT Analysis
• 12.10. Teradata Corporation
  • 12.10.1 Company Overview
  • 12.10.2 Financial Analysis
  • 12.10.3 Regional Analysis
  • 12.10.4 Research & Development Expense
  • 12.10.5 Recent strategies and developments:
    • 12.10.5.1 Acquisition and Mergers:
  • 12.10.6 SWOT Analysis

Chapter 13. Winning Imperatives of AI Data Management Market