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市場調查報告書
商品編碼
1500293

全球人工智慧資料管理市場 2024-2031

Global AI Data Management Market 2024-2031
出版日期: | 出版商: Orion Market Research | 英文 145 Pages | 商品交期: 2-3個工作天內

價格

預計在預測期內（2024-2031年），全球人工智慧資料管理市場將以 15.7%的年複合成長率顯著成長。人工智慧資料管理市場的成長歸因於機器學習演算法與資料管理系統的結合，這對於從推動市場成長的廣泛資料集中提取寶貴的意識非常重要。人工智慧資料管理包括透過資料清理、標準化和驗證等技術確保資料品質，提高人工智慧系統的效能和可靠性。人工智慧資料管理使用資料整合管道和資料湖等技術組合和聚合來自各種來源的資料，有助於有效的分析和建模。

市場動態

目錄

第1章 報告摘要

  • 目前行業分析及成長潛力展望
  • 研究方法和工具
  • 市場區隔
    • 依細分
    • 依地區

第2章 市場概述與見解

  • 報告範圍
  • 分析師見解和當前市場趨勢
    • 主要行業趨勢
    • 建議
    • 結論

第3章 競爭格局

  • 主要公司分析
  • Amazon Web Services, Inc.
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • Google LLC
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • Microsoft Corp.
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • 關鍵策略分析

第4章 市場細分

  • 按資料類型分類的全球人工智慧資料管理市場
    • 聲音
    • 言語和語音
    • 影像
    • 文字
    • 影片
  • 依應用分類的全球人工智慧資料管理市場
    • 資料增強
    • 資料匿名化和壓縮
    • 探索性資料分析
    • 插補預測模型
    • 流程自動化
  • 依垂直產業分類的全球人工智慧資料管理市場
    • BFSI
    • 零售與電子商務
    • 政府與國防
    • 醫療保健與生命科學
    • 製造業
    • 能源與公用事業
    • 媒體與娛樂
    • 資訊科技與電信
    • 其他垂直產業（旅遊與旅館、教育、運輸與物流）

第5章 區域分析

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 義大利
    • 西班牙
    • 法國
    • 歐洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 世界其他地區
    • 拉丁美洲
    • 中東和非洲

第6章 公司簡介

  • Cloudera, Inc.
  • Couchbase, Inc.
  • Databricks, Inc.
  • DataRobot, Inc.
  • Dell Inc.
  • Hewlett Packard Enterprise Development LP
  • Hitachi Vantara LLC
  • IBM Corp.
  • Informatica Inc.
  • MongoDB, Inc.
  • Oracle Corp.
  • Palantir Technologies Inc.
  • QlikTech International AB
  • SAP SE
  • SAS Institute Inc.
  • Snowflake Inc.
  • Splunk Inc.
  • Teradata Corp.
Product Code: OMR2028539

Global AI Data Management Market Size, Share & Trends Analysis Report by Data Type (Audio, Speech and Voice, Image, Text and Video), by Application (Data Augmentation, Data Anonymization & Compression, Exploratory Data Analysis, Imputation Predictive Modeling and Process Automation) and by Verticals (BFSI, Retail & E-commerce, Government & Defense, Healthcare & Life Sciences, Manufacturing, Energy & Utilities, Media & Entertainment, IT & Telecommunications and Others) Forecast Period (2024-2031)

Global AI data management market is anticipated to grow at a significant CAGR of 15.7% during the forecast period (2024-2031). The growth of the AI data management market is attributed to the incorporation of machine learning algorithms with data management systems that has been important for withdrawing cherished awareness from extensive datasets driving the growth of the market. AI data management involves ensuring data quality through techniques like data cleaning, normalization, and validation, which enhance the performance and reliability of AI systems. AI data management combining and aggregating data from various sources using techniques like data integration pipelines and data lakes facilitates effective analysis and modeling.

Market Dynamics

Real-Time Data Processing

Real-time data processing enables instantaneous decision-making. Rather than being kept on file, it is made accessible to encourage discoveries as soon as feasible, advancing the business outcomes, efficiency, and profitability of businesses. Businesses benefit greatly from real-time data because it offers invaluable insights derived from the real-time processing of data sets. Real-time data is extremely beneficial to enterprise businesses. It may yield insights that improve operations, increase IT architecture visibility and monitoring, maximize business outcomes, and even improve customer experiences in general. Both batch and real-time processing involve the division of massive amounts of data into groups according to transactions, which must be gathered over time to provide insights. To generate insights, data is continuously batched over a predetermined timeframe rather than in real-time.

Increasing Adoption of Automated Data Labeling Tools and Techniques

The growing use of automated AI data management systems involves the process of annotating or tagging raw data with specific labels or categories, enabling AI systems to recognize patterns and make accurate predictions. The exponential growth of data and the increasing complexity of machine learning algorithms have led to a surge in the demand for data labeling services. Businesses across various industries, including healthcare, finance, retail, and manufacturing, require labeled data to train their AI models effectively. However, many organizations lack the internal resources, expertise, and time required to label large volumes of data accurately. This creates an opportunity for data labeling service providers to offer their specialized skills and infrastructure.

Market Segmentation

Our in-depth analysis of the global AI data management market includes the following segments by data type, application, and verticals.

  • Based on data type, the market is sub-segmented into audio, speech, voice, image, text, and video.
  • Based on application, the market is sub-segmented into data augmentation, data anonymization & compression, exploratory data analysis, imputation predictive modeling, and process automation.
  • Based on verticals, the market is sub-segmented into BFSI, retail &e-commerce, government &defense, healthcare & life sciences, manufacturing, energy & utilities, media & entertainment, IT & telecommunications, and others (travel & hospitality, education, transportation & logistics).

Process Automation is Projected to Emerge as the Largest Segment

Based on the application, the global AI data management market is sub-segmented into data augmentation, data anonymization & compression, exploratory data analysis, imputation predictive modeling, and process automation. Among these, process automation sub-segment is expected to hold the largest share of the market. The primary factors supporting the segment's growth include increasing demand for AI data management automation to manage data production, storage, archive, and destruction. Using AI technology to manage an organization's data assets deliberately and methodically can enhance data quality, analysis, and decision-making. This is known as AI data management. It encompasses all of the protocols, policies, and technical techniques used to effectively gather, arrange, store, and use data. For instance, in January 2024, Automation Anywhere announced the availability of the industry's first specialized, generative AI automation model to dramatically improve process automation development cycle times and is set to transform the automation market. The Automation Success platform's responsible AI Layer enforces enterprise security and data privacy standards for safe AI governance.

BFSI Sub-segment to Hold a Considerable Market Share

Based on the verticals, the global AI data management market is sub-segmented into BFSI, retail & e-commerce, government & defense, healthcare & life sciences, manufacturing, energy & utilities, media & entertainment, IT & telecommunications, and others (travel & hospitality, education, transportation & logistics). Among these, the BFSI sub-segment is expected to hold a considerable share of the market. The segmental growth is attributed to the increasing immense volume of financial transactions, customer data, and regulatory requirements, Al-powered data management solutions are employed to streamline operations, enhance customer experiences, mitigate risks, and drive strategic decision-making. Furthermore, by ensuring data confidentiality, privacy, and correctness, these solutions help organizations comply with strict rules. In an increasingly digital and data-centric economy, the BFSI sector depends largely on Al data management to promote innovation, enhance operational effectiveness, and preserve competitiveness.

Regional Outlook

The global AI data management market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia-Pacific), and the Rest of the World (the Middle East & Africa, and Latin America).

Increasing AI Data Management Adoption in Asia-Pacific

  • According to the World Economic Forum, in October 2023, the Asia-Pacific region moved from the digital era to the intelligent era, computing power is the decisive factor for AI innovation and the core productivity of the digital economy.
  • The AI data management market in China is diverse and covers various applications, such as natural language processing, computer vision, robotics, autonomous vehicles, and virtual assistants. With its substantial population and extensive data resources, China provides a fertile environment for developing and implementing AI technologies.

North America Holds Major Market Share

Among all the regions, North America holds a significant share owing to numerous prominent companies and AI data management providers. The growth is attributed to the increasing expansion of its technological hub. The region boasts renowned tech giants, startups, and research institutions driving progress in AI and data management. According to the United States Census Bureau, in November 2023, 3.8% of businesses reported using AI to produce goods and services but it is more widely used in certain industries such as information and tech sectors. Businesses in the Information sector reported greater levels of AI use than the national average with 13.8% of businesses using the technology.

The major companies serving the global AI data management market include Amazon Web Services, Inc., Google LLC, IBM Corp., Microsoft Corp., and Oracle Corp., among others. The market players are increasingly focusing on business expansion and product development by applying strategies such as collaborations, mergers, and acquisitions to stay competitive in the market. For instance, in February 2024, Wipro Ltd. and IBM Corp. collaborated to offer new AI services. Wipro Ltd., a technology services and consulting company, launched Wipro Enterprise Artificial Intelligence (AI)-Ready Platform, a new service that allows clients to create their enterprise-level, fully integrated, and customized AI environments. The AI and generative AI workloads, including using code-based configurations to enhance automation dynamic resource management to dynamically adjust to varying workloads using predictive analytics.

Recent Development

  • In January 2024, Oracle Corp. introduced OCI Generative AI Agents to transform data-driven decision-making. Customers may further refine these models using their data with retrieval augmented generation (RAG) techniques, so the models understand their unique internal operations.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Industry Trends
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. Amazon Web Services, Inc.
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
    • 3.2.4. Recent Developments
  • 3.3. Google LLC
    • 3.3.1. Overview
    • 3.3.2. Financial Analysis
    • 3.3.3. SWOT Analysis
    • 3.3.4. Recent Developments
  • 3.4. Microsoft Corp.
    • 3.4.1. Overview
    • 3.4.2. Financial Analysis
    • 3.4.3. SWOT Analysis
    • 3.4.4. Recent Developments
  • 3.5. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global AI Data Management Market by Data Type
    • 4.1.1. Audio
    • 4.1.2. Speech and Voice
    • 4.1.3. Image
    • 4.1.4. Text
    • 4.1.5. Video
  • 4.2. Global AI Data Management Market by Application
    • 4.2.1. Data Augmentation
    • 4.2.2. Data Anonymization & Compression
    • 4.2.3. Exploratory Data Analysis
    • 4.2.4. Imputation Predictive Modeling
    • 4.2.5. Process Automation
  • 4.3. Global AI Data Management Market by Verticals
    • 4.3.1. BFSI
    • 4.3.2. Retail & eCommerce
    • 4.3.3. Government & Defense
    • 4.3.4. Healthcare & Life Sciences
    • 4.3.5. Manufacturing
    • 4.3.6. Energy & Utilities
    • 4.3.7. Media & Entertainment
    • 4.3.8. IT & Telecommunications
    • 4.3.9. Other Verticals (Travel & Hospitality, Education, Transportation & Logistics)

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World
    • 5.4.1. Latin America
    • 5.4.2. Middle East & Africa

6. Company Profiles

  • 6.1. Cloudera, Inc.
  • 6.2. Couchbase, Inc.
  • 6.3. Databricks, Inc.
  • 6.4. DataRobot, Inc.
  • 6.5. Dell Inc.
  • 6.6. Hewlett Packard Enterprise Development LP
  • 6.7. Hitachi Vantara LLC
  • 6.8. IBM Corp.
  • 6.9. Informatica Inc.
  • 6.10. MongoDB, Inc.
  • 6.11. Oracle Corp.
  • 6.12. Palantir Technologies Inc.
  • 6.13. QlikTech International AB
  • 6.14. SAP SE
  • 6.15. SAS Institute Inc.
  • 6.16. Snowflake Inc.
  • 6.17. Splunk Inc.
  • 6.18. Teradata Corp.

LIST OF TABLES

  • 1. Global AI Data Management Market Research And Analysis By Data Type, 2023-2031 ($ Million)
  • 2. Global AI Audio Data Management Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 3. Global AI Speech And Voice Data Management Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 4. Global AI Image Data Management Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 5. Global AI Text Data Management Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 6. Global AI Video Data Management Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 7. Global AI Data Management Market Research And Analysis By Application, 2023-2031 ($ Million)
  • 8. Global AI Data Augmentation Management Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 9. Global AI Data Anonymization & Compression Management Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 10. Global AI Exploratory Data Analysis Management Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 11. Global AI Imputation Predictive Modeling Management Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 12. Global AI Process Automation Management Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 13. Global AI Data Management Market Research And Analysis By Verticals, 2023-2031 ($ Million)
  • 14. Global AI Data Management For BFSI Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 15. Global AI Data Management For Retail & E-Commerce Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 16. Global AI Data Management For Government & Defense Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 17. Global AI Data Management For Healthcare & Life Sciences Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 18. Global AI Data Management For Manufacturing Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 19. Global AI Data Management For Energy & Utilities Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 20. Global AI Data Management For Media & Entertainment Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 21. Global AI Data Management For It & Telecommunications Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 22. Global AI Data Management For Other Verticals Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 23. Global AI Data Management Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 24. North American AI Data Management Market Research And Analysis By Country, 2023-2031 ($ Million)
  • 25. North American AI Data Management Market Research And Analysis By Data Type, 2023-2031 ($ Million)
  • 26. North American AI Data Management Market Research And Analysis By Application, 2023-2031 ($ Million)
  • 27. North American AI Data Management Market Research And Analysis By Verticals, 2023-2031 ($ Million)
  • 28. European AI Data Management Market Research And Analysis By Country, 2023-2031 ($ Million)
  • 29. European AI Data Management Market Research And Analysis By Data Type, 2023-2031 ($ Million)
  • 30. European AI Data Management Market Research And Analysis By Application, 2023-2031 ($ Million)
  • 31. European AI Data Management Market Research And Analysis By Verticals, 2023-2031 ($ Million)
  • 32. Asia-Pacific AI Data Management Market Research And Analysis By Country, 2023-2031 ($ Million)
  • 33. Asia-Pacific AI Data Management Market Research And Analysis By Data Type, 2023-2031 ($ Million)
  • 34. Asia-Pacific AI Data Management Market Research And Analysis By Application, 2023-2031 ($ Million)
  • 35. Asia-Pacific AI Data Management Market Research And Analysis By Verticals, 2023-2031 ($ Million)
  • 36. Rest Of The World AI Data Management Market Research And Analysis By Region, 2023-2031 ($ Million)
  • 37. Rest Of The World AI Data Management Market Research And Analysis By Data Type, 2023-2031 ($ Million)
  • 38. Rest Of The World AI Data Management Market Research And Analysis By Application, 2023-2031 ($ Million)
  • 39. Rest Of The World AI Data Management Market Research And Analysis By Verticals, 2023-2031 ($ Million)

LIST OF FIGURES

  • 1. Global AI Data Management Market Share By Data Type, 2023 Vs 2031 (%)
  • 2. Global AI Audio Data Management Market Share By Region, 2023 Vs 2031 (%)
  • 3. Global AI Speech And Voice Data Management Market Share By Region, 2023 Vs 2031 (%)
  • 4. Global AI Image Data Management Market Share By Region, 2023 Vs 2031 (%)
  • 5. Global AI Text Data Management Market Share By Region, 2023 Vs 2031 (%)
  • 6. Global AI Video Data Management Market Share By Region, 2023 Vs 2031 (%)
  • 7. Global AI Data Management Market Share By Application, 2023 Vs 2031 (%)
  • 8. Global AI Data Augmentation Management Market Share By Region, 2023 Vs 2031 (%)
  • 9. Global AI Data Anonymization & Compression Management Market Share By Region, 2023 Vs 2031 (%)
  • 10. Global AI Exploratory Data Analysis Management Market Share By Region, 2023 Vs 2031 (%)
  • 11. Global AI Imputation Predictive Modeling Management Market Share By Region, 2023 Vs 2031 (%)
  • 12. Global AI Process Automation Management Market Share By Region, 2023 Vs 2031 (%)
  • 13. Global AI Data Management Market Share By Verticals, 2023 Vs 2031 (%)
  • 14. Global AI Data Management For BFSI Market Share By Region, 2023 Vs 2031 (%)
  • 15. Global AI Data Management For Retail & E-Commerce Market Share By Region, 2023 Vs 2031 (%)
  • 16. Global AI Data Management For Government & Defense Market Share By Region, 2023 Vs 2031 (%)
  • 17. Global AI Data Management For Healthcare & Life Sciences Market Share By Region, 2023 Vs 2031 (%)
  • 18. Global AI Data Management For Manufacturing Market Share By Region, 2023 Vs 2031 (%)
  • 19. Global AI Data Management For Energy & Utilities Market Share By Region, 2023 Vs 2031 (%)
  • 20. Global AI Data Management For Media & Entertainment Market Share By Region, 2023 Vs 2031 (%)
  • 21. Global AI Data Management For It & Telecommunications Market Share By Region, 2023 Vs 2031 (%)
  • 22. Global AI Data Management For Other Verticals Market Share By Region, 2023 Vs 2031 (%)
  • 23. US AI Data Management Market Size, 2023-2031 ($ Million)
  • 24. Canada AI Data Management Market Size, 2023-2031 ($ Million)
  • 25. UK AI Data Management Market Size, 2023-2031 ($ Million)
  • 26. France AI Data Management Market Size, 2023-2031 ($ Million)
  • 27. Germany AI Data Management Market Size, 2023-2031 ($ Million)
  • 28. Italy AI Data Management Market Size, 2023-2031 ($ Million)
  • 29. Spain AI Data Management Market Size, 2023-2031 ($ Million)
  • 30. Rest Of Europe AI Data Management Market Size, 2023-2031 ($ Million)
  • 31. India AI Data Management Market Size, 2023-2031 ($ Million)
  • 32. China AI Data Management Market Size, 2023-2031 ($ Million)
  • 33. Japan AI Data Management Market Size, 2023-2031 ($ Million)
  • 34. South Korea AI Data Management Market Size, 2023-2031 ($ Million)
  • 35. Rest Of Asia-Pacific AI Data Management Market Size, 2023-2031 ($ Million)
  • 36. Latin America AI Data Management Market Size, 2023-2031 ($ Million)
  • 37. Middle East And Africa AI Data Management Market Size, 2023-2031 ($ Million)