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1438179

2030 年資料湖市場預測：按組件、業務功能、部署模式、組織規模、最終用戶和區域進行的全球分析

Data Lake Market Forecasts to 2030 - Global Analysis By Component (Services and Solutions), Business Function, Deployment Mode, Organization Size, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，2023 年全球資料湖市場規模將達到 78 億美元，預計到 2030 年將達到 399 億美元，預測期內複合年成長率為 27.3%。

資料湖是一個集中式儲存庫，可以大規模儲存大量結構化、半結構化和非結構化資料。與需要結構化資料的傳統資料庫和資料倉儲不同，資料湖可以以原始形式儲存原始資料，直到需要分析或處理為止。您可以儲存各種資料類型，包括日誌、感測器資料、影像和影片，而無需預先強制實施架構。

據印度儲備銀行稱，2023 會計年度，印度儲備銀行 (RBI) 報告全印度發生了 13,000 多起銀行詐騙案件。這比上年度有所增加，扭轉了過去10年的趨勢。

對有效安全措施的需求日益成長

市場需要強而有力的安全措施來保護大量不同資料的儲存庫。隨著機密資訊的湧入，加密、存取控制和異常檢測變得至關重要。先進的身份驗證通訊協定和人工智慧監控可防止資訊外洩並確保遵守嚴格的法規。隨著威脅的發展，自適應安全策略對於加強這些龐大資料生態系統的完整性以及在處理敏感資訊時灌輸信任和信心至關重要。

複雜性和整合性

市場不斷發展，強調複雜性和整合性。隨著組織利用大量資料，解決方案旨在跨不同來源和格式進行無縫整合。這需要管理複雜的資料結構，同時確保不同工具和平台之間的互通性。重點在於提供全面的解決方案，簡化複雜性，實現跨龐大資料湖環境的高效資料處理、分析和洞察。

擴大先進技術的採用

最尖端科技的採用正在迅速增加，市場正在快速成長。人工智慧主導的分析、雲端整合和可擴展的儲存解決方案正在重新定義資料管理。企業正在利用這些創新來簡化資料處理、增強決策並釋放有價值的見解。市場成長取決於無縫整合不同資料來源以及在處理大量資料集時提供無與倫比的敏捷性和效率的能力。

缺乏技術專長

由於缺乏技術專長，市場面臨挑戰。建置和維護這些龐大的儲存庫需要資料架構、整合和管理方面的專業技能。缺乏處理不同資料格式、確保安全性和實施有效管治的專家正在阻礙資料湖解決方案的最佳使用和成長。如果組織要充分利用資料湖的潛力並獲得有價值的見解，那麼彌合這種專業知識差距至關重要。

COVID-19 的影響

COVID-19 的爆發加速了對資料湖的需求，因為組織尋求強大的資料儲存和分析解決方案來適應日益增加的遠端工作和數位業務。由於線上活動帶來的資料量不斷增加以及對敏捷決策的即時洞察的需求，市場出現了成長。這種激增凸顯了可擴展的雲端基礎的資料湖對於有效管理不同資料來源的重要性，並刺激了該領域的創新和投資。

預計人力資源部門在預測期內將是最大的

預計人力資源部門在預測期內將是最大的。該市場的人力資源部門專注於利用廣泛的資料儲存庫來最佳化人才招募、勞動力管理和員工敬業度。採用先進的分析、人工智慧主導的見解和預測模型來簡化招募、個人化員工體驗並加強留任策略。 資料 Lake HR 利用多樣化的資料來源來做出明智的決策，確保合適的人才與合適的機會相匹配，並推動組織發展和效率。

預計教育產業在預測期內的複合年成長率最高

預計教育產業在預測期內複合年成長率最高。由於需要對教育資料進行全面儲存和分析，教育市場正在迅速擴大。該技術可以簡化資料管理，使教育工作者能夠獲得個人化學習、學術研究和行政決策的寶貴見解，從而促進教育環境的創新和效率。

比最大的地區

預計北美在預測期內將佔據最大的市場佔有率。由於注重利用大量不同的資料，企業擴大採用資料湖平台。主要企業競相提供多功能架構和高階分析工具，以滿足不斷變化的業務需求。在技​​術進步和對全面資料管理解決方案的需求的推動下，該地區預計將出現強勁成長。

複合年成長率最高的地區

預計亞太地區在預測期內複合年成長率最高。隨著對資料主導決策的日益關注，亞太地區的企業擴大投資於擴充性且彈性的資料儲存解決方案。主要企業利用雲端基礎的儲存和分析來獲取見解並提供全面的平台來滿足多樣化的需求。市場正在呈現持續成長，企業正在優先考慮高效的資料管理，以在動態形勢中保持競爭力。

免費客製化服務

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間存在敵對關係

第5章全球資料湖市場：按組成部分

  • 服務
    • 專業服務
    • 諮詢
    • 管理服務
    • 支援與維護
    • 系統整合與部署
  • 解決方案
    • 資料發現
    • 資料整合與管理
    • 資料湖分析
    • 資料視覺化

第6章全球資料湖市場：依業務功能分類

  • 人力資源
  • 行銷
  • 銷售
  • 金融
  • 手術

第7章全球資料湖市場：依部署模式

  • 雲
  • 本地

第8章全球資料湖市場：依組織規模

  • 中小企業
  • 主要企業

第 9 章 全球資料湖市場：依最終用戶分類

  • 運輸和物流
  • 教育
  • 銀行、金融服務和保險
  • 通訊和資訊技術
  • 零售與電子商務
  • 醫療保健和生命科學
  • 製造業
  • 能源和公共
  • 媒體和娛樂
  • 政府
  • 旅行和招待
  • 其他最終用戶

第10章全球資料湖市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司簡介

  • Atos SE
  • Google LLC
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAS Institute Inc.
  • Amazon Web Services Inc
  • Snowflake Inc.
  • Cloudera Inc.
  • Teradata Corporation
  • BigStep
  • Koverse, Inc.
  • Dremio
  • Temenos Headquarters SA
  • Atos SE
  • Cazena, Inc.
  • Oracle
Product Code: SMRC25148

According to Stratistics MRC, the Global Data Lake Market is accounted for $7.8 billion in 2023 and is expected to reach $39.9 billion by 2030 growing at a CAGR of 27.3% during the forecast period. A data lake is a centralized repository that allows you to store vast amounts of structured, semi-structured, and unstructured data at scale. Unlike traditional databases or data warehouses that require structured data, a data lake can hold raw data in its native format until it's needed for analysis or processing. It allows for the storage of diverse data types-such as logs, sensor data, images, videos, and more-without enforcing a schema upfront.

According to the Reserve Bank of India, In the financial year 2023, the Reserve Bank of India (RBI) reported more than 13 thousand bank fraud cases across India. This was an increase compared to the previous year and turned around the last decade's trend.

Market Dynamics:

Driver:

Growing need for efficient security measures

The market demands robust security measures to safeguard vast repositories of diverse data. With an influx of sensitive information, encryption, access controls, and anomaly detection become imperative. Advanced authentication protocols and AI-driven monitoring fortify against breaches and ensure compliance with stringent regulations. As threats evolve, adaptive security strategies are pivotal to fortify the integrity of these expansive data ecosystems, instilling trust and reliability in handling sensitive information.

Restraint:

Complexity and Integration

The market is evolving, emphasizing both complexity and integration. As organizations harness vast data volumes, solutions aim for seamless integration across diverse sources and formats. This entails managing intricate data structures while ensuring interoperability among various tools and platforms. The focus lies in offering comprehensive solutions that simplify complexities, enabling efficient data processing, analysis, and insights across the expansive data lake landscape.

Opportunity:

Mounting adoption of advanced technologies

The market experiences rapid growth due to soaring adoption of cutting-edge technologies. AI-driven analytics, cloud integration, and scalable storage solutions redefine data management. Organizations leverage these innovations to streamline data processing, enhance decision-making, and extract valuable insights. The market's expansion hinges on the seamless integration of diverse data sources, offering unparalleled agility and efficiency in handling vast datasets.

Threat:

Lack of technical expertise

The market faces challenges due to a shortage of technical expertise. Building and maintaining these expansive repositories demands specialized skills in data architecture, integration, and management. The scarcity of professionals proficient in handling diverse data formats, ensuring security, and implementing effective governance hampers the optimal utilization and growth of data lake solutions. Bridging this expertise gap is crucial for organizations to fully harness the potential of data lakes and derive valuable insights.

Covid-19 Impact:

The COVID-19 pandemic accelerated the demand for Data Lakes as organizations sought robust data storage and analytics solutions to handle increased remote work and digital operations. The market witnessed growth due to rising data volumes from online activities and the need for real-time insights for agile decision-making. This surge emphasized the importance of scalable, cloud-based data lakes to manage diverse data sources efficiently, driving innovation and investments in the sector.

The human resources segment is expected to be the largest during the forecast period

The human resources segment is expected to be the largest during the forecast period. The human resources sector within the market focuses on leveraging extensive data repositories to optimize talent acquisition, workforce management, and employee engagement. It employs advanced analytics, AI-driven insights, and predictive models to streamline recruitment, personalize employee experiences, and enhance retention strategies. HR in Data Lakes harnesses diverse data sources to enable informed decision-making, ensuring the right talent is matched with the right opportunities, fostering organizational growth and efficiency.

The education segment is expected to have the highest CAGR during the forecast period

The education segment is expected to have the highest CAGR during the forecast period. The market in education is rapidly expanding, driven by the need for comprehensive storage and analysis of educational data. This technology enables streamlined data management, empowering educators to derive valuable insights for personalized learning, academic research, and administrative decision-making, fostering innovation and efficiency within the educational landscape.

Region with largest share:

North America is projected to hold the largest market share during the forecast period. With a focus on harnessing vast amounts of diverse data, enterprises are increasingly adopting Data Lake platforms. Key players vie for prominence, offering versatile architectures and advanced analytics tools to cater to evolving business needs. The region showcases robust growth prospects, fueled by technological advancements and the imperative need for comprehensive data management solutions.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period. With a growing emphasis on data-driven decision-making, businesses in APAC are increasingly investing in scalable and flexible data storage solutions. Key players offer comprehensive platforms catering to diverse needs, leveraging cloud-based storage and analytics to unlock insights. The market's trajectory signals sustained growth, with organizations prioritizing efficient data management to stay competitive in the dynamic landscape.

Key players in the market

Some of the key players in Data Lake market include Atos SE, Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAS Institute Inc., Amazon Web Services Inc, Snowflake Inc., Cloudera Inc., Teradata Corporation, BigStep , Koverse, Inc., Dremio, Temenos Headquarters SA, Atos SE, Cazena, Inc. and Oracle.

Key Developments:

In December 202, Atos announced the development of a new solution in collaboration with AWS that allows clients to expedite and properly monitor company key performance indicators (KPIs) by offering simple access to non-SAP and SAP data silos.

In November 2022, Amazon Web Services (AWS) announced the launch of Amazon Security Lake. This new cybersecurity solution automatically centralizes safety data from on-premises and cloud sources into a purpose-built data lake in a user's AWS account.

Components Covered:

  • Services
  • Solutions

Business Functions Covered:

  • Human Resources
  • Marketing
  • Sales
  • Finance
  • Operations

Deployment Modes Covered:

  • Cloud
  • On-Premises

Organization Sizes Covered:

  • Small and Medium-Sized Enterprises
  • Large Enterprises

End Users Covered:

  • Transportation and Logistics
  • Education
  • Banking, Financial Services and Insurance
  • Telecommunication and Information Technology
  • Retail and E-Commerce
  • Healthcare and Life Sciences
  • Manufacturing
  • Energy and Utilities
  • Media and Entertainment
  • Government
  • Travel and Hospitality
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Data Lake Market, By Component

  • 5.1 Introduction
  • 5.2 Services
    • 5.2.1 Professional Services
    • 5.2.2 Consulting
    • 5.2.3 Managed Services
    • 5.2.4 Support and Maintenance
    • 5.2.5 System Integration and Deployment
  • 5.3 Solutions
    • 5.3.1 Data Discovery
    • 5.3.2 Data Integration and Management
    • 5.3.3 Data Lake Analytics
    • 5.3.4 Data Visualization

6 Global Data Lake Market, By Business Function

  • 6.1 Introduction
  • 6.2 Human Resources
  • 6.3 Marketing
  • 6.4 Sales
  • 6.5 Finance
  • 6.6 Operations

7 Global Data Lake Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 Cloud
  • 7.3 On-Premises

8 Global Data Lake Market, By Organization Size

  • 8.1 Introduction
  • 8.2 Small and Medium-Sized Enterprises
  • 8.3 Large Enterprises

9 Global Data Lake Market, By End User

  • 9.1 Introduction
  • 9.2 Transportation and Logistics
  • 9.3 Education
  • 9.4 Banking, Financial Services and Insurance
  • 9.5 Telecommunication and Information Technology
  • 9.6 Retail and E-Commerce
  • 9.7 Healthcare and Life Sciences
  • 9.8 Manufacturing
  • 9.9 Energy and Utilities
  • 9.10 Media and Entertainment
  • 9.11 Government
  • 9.12 Travel and Hospitality
  • 9.13 Other End Users

10 Global Data Lake Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Atos SE
  • 12.2 Google LLC
  • 12.3 IBM Corporation
  • 12.4 Microsoft Corporation
  • 12.5 Oracle Corporation
  • 12.6 SAS Institute Inc.
  • 12.7 Amazon Web Services Inc
  • 12.8 Snowflake Inc.
  • 12.9 Cloudera Inc.
  • 12.10 Teradata Corporation
  • 12.11 BigStep
  • 12.12 Koverse, Inc.
  • 12.13 Dremio
  • 12.14 Temenos Headquarters SA
  • 12.15 Atos SE
  • 12.16 Cazena, Inc.
  • 12.17 Oracle

List of Tables

  • Table 1 Global Data Lake Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Data Lake Market Outlook, By Component (2021-2030) ($MN)
  • Table 3 Global Data Lake Market Outlook, By Services (2021-2030) ($MN)
  • Table 4 Global Data Lake Market Outlook, By Professional Services (2021-2030) ($MN)
  • Table 5 Global Data Lake Market Outlook, By Consulting (2021-2030) ($MN)
  • Table 6 Global Data Lake Market Outlook, By Managed Services (2021-2030) ($MN)
  • Table 7 Global Data Lake Market Outlook, By Support and Maintenance (2021-2030) ($MN)
  • Table 8 Global Data Lake Market Outlook, By System Integration and Deployment (2021-2030) ($MN)
  • Table 9 Global Data Lake Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 10 Global Data Lake Market Outlook, By Data Discovery (2021-2030) ($MN)
  • Table 11 Global Data Lake Market Outlook, By Data Integration and Management (2021-2030) ($MN)
  • Table 12 Global Data Lake Market Outlook, By Data Lake Analytics (2021-2030) ($MN)
  • Table 13 Global Data Lake Market Outlook, By Data Visualization (2021-2030) ($MN)
  • Table 14 Global Data Lake Market Outlook, By Business Function (2021-2030) ($MN)
  • Table 15 Global Data Lake Market Outlook, By Human Resources (2021-2030) ($MN)
  • Table 16 Global Data Lake Market Outlook, By Marketing (2021-2030) ($MN)
  • Table 17 Global Data Lake Market Outlook, By Sales (2021-2030) ($MN)
  • Table 18 Global Data Lake Market Outlook, By Finance (2021-2030) ($MN)
  • Table 19 Global Data Lake Market Outlook, By Operations (2021-2030) ($MN)
  • Table 20 Global Data Lake Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 21 Global Data Lake Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 22 Global Data Lake Market Outlook, By On-Premises (2021-2030) ($MN)
  • Table 23 Global Data Lake Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 24 Global Data Lake Market Outlook, By Small and Medium-Sized Enterprises (2021-2030) ($MN)
  • Table 25 Global Data Lake Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 26 Global Data Lake Market Outlook, By End User (2021-2030) ($MN)
  • Table 27 Global Data Lake Market Outlook, By Transportation and Logistics (2021-2030) ($MN)
  • Table 28 Global Data Lake Market Outlook, By Education (2021-2030) ($MN)
  • Table 29 Global Data Lake Market Outlook, By Banking, Financial Services and Insurance (2021-2030) ($MN)
  • Table 30 Global Data Lake Market Outlook, By Telecommunication and Information Technology (2021-2030) ($MN)
  • Table 31 Global Data Lake Market Outlook, By Retail and E-Commerce (2021-2030) ($MN)
  • Table 32 Global Data Lake Market Outlook, By Healthcare and Life Sciences (2021-2030) ($MN)
  • Table 33 Global Data Lake Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 34 Global Data Lake Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 35 Global Data Lake Market Outlook, By Media and Entertainment (2021-2030) ($MN)
  • Table 36 Global Data Lake Market Outlook, By Government (2021-2030) ($MN)
  • Table 37 Global Data Lake Market Outlook, By Travel and Hospitality (2021-2030) ($MN)
  • Table 38 Global Data Lake Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.