封面
市場調查報告書
商品編碼
1517355

全球資料準備軟體市場規模研究,按類型(基於雲端、基於網路)、應用程式(大型企業、中小企業)和 2022-2032 年區域預測

Global Data Preparation Software Market Size Study, by Type (Cloud Based, Web Based), by Application (Large Enterprises, SMEs) and Regional Forecasts 2022-2032

出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 200 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

2023年,全球數據準備軟體市場價值約為6.1825億美元,預計在2024-2032年預測期內將以超過8.71%的健康成長率成長。資料準備軟體在使用戶能夠有效地收集、清理、轉換和整合來自不同來源和格式的資料發揮關鍵作用。該軟體顯著提高了資料的品質、一致性和可用性,從而促進更好的分析和視覺化。透過自動化許多資料準備任務,它減少了所需的時間和精力,使用戶能夠專注於獲得可行的見解。

全球數據準備軟體市場的擴張進一步受到基於雲端的解決方案的日益採用以及企業對自助資料準備工具的需求不斷增加、對巨量資料分析的日益依賴、組織正在大力投資資料準備軟體以簡化流程。資料管理流程。隨著組織越來越依賴巨量資料分析,他們大力投資資料準備軟體以簡化資料管理流程。基於雲端的解決方案提供靈活性和可擴展性,使其成為處理大量資料的理想選擇。自助服務工具使用戶能夠管理和準備資料,而無需大量 IT 參與,從而提高效率和決策。隨著公司尋求充分利用其資料資源的潛力,對資料分析的日益依賴和對高效資料管理的需求推動了市場的擴張。然而,與資料準備軟體的部署和維護相關的高成本可能會阻礙預測期內的市場成長。此外,資料隱私問題以及處理大量資料所涉及的複雜性可能會為市場成長帶來挑戰。

全球資料準備軟體市場研究涵蓋的關鍵區域包括亞太地區、北美、歐洲、拉丁美洲和世界其他地區。 2023年,由於先進技術的較早採用以及該地區主要市場參與者的存在,北美在資料準備軟體市場上佔據主導地位。北美公司迅速整合了創新的資料準備解決方案,增強了他們的資料管理能力和分析能力。該地區強大的技術生態系統(包括 IBM、微軟和 Tableau 等主要參與者)促進了尖端資料準備工具的持續開發和採用。此外,預計亞太地區的市場在 2024 年至 2032 年的預測期內將以最快的速度發展。

目錄

第 1 章:全球資料準備軟體市場執行摘要

  • 全球資料準備軟體市場規模及預測(2022-2032)
  • 區域概要
  • 分部摘要
    • 按類型
    • 按申請
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章:全球資料準備軟體市場定義與研究假設

  • 研究目的
  • 市場定義
  • 研究假設
    • 包容與排除
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性(消費者的角度)
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者意識和接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章:全球資料準備軟體市場動態

  • 市場促進因素
    • 對數據驅動決策的需求不斷增加
    • 基於雲端的解決方案的採用不斷增加
    • 對自助資料準備工具的需求不斷成長
  • 市場挑戰
    • 部署和維護成本高
    • 資料隱私問題
  • 市場機會
    • 新興市場的擴張
    • 與高級分析和人工智慧整合

第 4 章:全球資料準備軟體市場產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
    • 波特五力模型的未來方法
    • 波特的五力影響分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章:2022-2032 年全球資料準備軟體市場規模及類型預測

  • 細分儀表板
  • 全球資料準備軟體市場:類型收入趨勢分析,2022 年和 2032 年
    • 基於雲端
    • 基於網路

第 6 章:2022-2032 年全球資料準備軟體市場規模及應用預測

  • 細分儀表板
  • 全球資料準備軟體市場:2022 年和 2032 年應用收入趨勢分析
    • 大型企業
    • 中小企業

第 7 章:2022-2032 年全球資料準備軟體市場規模及地區預測

  • 北美數據準備軟體市場
    • 美國數據準備軟體市場
      • 2022-2032 年型別細分規模與預測
      • 2022-2032 年應用細分規模與預測
    • 加拿巨量資料準備軟體市場
  • 歐洲數據準備軟體市場
    • 英國數據準備軟體市場
    • 德國數據準備軟體市場
    • 法國數據準備軟體市場
    • 西班牙資料準備軟體市場
    • 義大利數據準備軟體市場
    • 歐洲其他地區資料準備軟體市場
  • 亞太數據準備軟體市場
    • 中國數據準備軟體市場
    • 印度數據準備軟體市場
    • 日本資料準備軟體市場
    • 澳洲數據準備軟體市場
    • 韓國數據準備軟體市場
    • 亞太地區其他資料準備軟體市場
  • 拉丁美洲數據準備軟體市場
    • 巴西資料準備軟體市場
    • 墨西哥數據準備軟體市場
    • 拉丁美洲其他地區資料準備軟體市場
  • 中東和非洲資料準備軟體市場
    • 沙烏地阿拉伯資料準備軟體市場
    • 南非資料準備軟體市場
    • 中東和非洲其他地區的資料準備軟體市場

第 8 章:競爭情報

  • 重點企業SWOT分析
  • 頂級市場策略
  • 公司簡介
    • Alteryx
      • 關鍵訊息
      • 概述
      • 財務(視數據可用性而定)
      • 產品概要
      • 市場策略
    • IBM
    • Oracle
    • Altair Monarch
    • Tableau Prep
    • Datameer
    • Palantir Foundry
    • Podium
    • SAP
    • Talend
    • Trifacta
    • Unifi

第 9 章:研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
簡介目錄

Global Data Preparation Software Market is valued approximately at USD 618.25 million in 2023 and is anticipated to grow with a healthy growth rate of more than 8.71% over the forecast period 2024-2032. Data Preparation Software plays a pivotal role in enabling users to efficiently collect, clean, transform, and integrate data from diverse sources and formats. This software significantly enhances the quality, consistency, and usability of data, thereby facilitating better analysis and visualization. By automating many of the data preparation tasks, it reduces the time and effort required, allowing users to focus on deriving actionable insights.

The Global Data Preparation Software Market expansion is further driven by the rising adoption of cloud-based solutions and the increasing demand for self-service data preparation tools among enterprises, growing reliance on big data analytics, organizations are investing heavily in data preparation software to streamline their data management processes. As organizations rely more on big data analytics, they invest heavily in data preparation software to streamline their data management processes. Cloud-based solutions offer flexibility and scalability, making them ideal for handling large volumes of data. Self-service tools empower users to manage and prepare data without extensive IT involvement, improving efficiency and decision-making. This growing reliance on data analytics and the need for efficient data management drive the market's expansion, as companies seek to harness the full potential of their data resources. However, the high costs associated with the deployment and maintenance of data preparation software may hinder market growth during the forecast period. Additionally, data privacy concerns and the complexity involved in handling large volumes of data could pose challenges to market growth.

The key regions considered for the Global Data Preparation Software Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, North America dominated the data preparation software market, owing to the early adoption of advanced technologies and the presence of key market players in the region. Companies in North America have been quick to integrate innovative data preparation solutions, enhancing their data management capabilities and analytics. The region's robust tech ecosystem, including major players such as IBM, Microsoft, and Tableau, fosters continuous development and adoption of cutting-edge data preparation tools. Furthermore, the market in Asia Pacific is anticipated to develop at the fastest rate over the forecast period 2024-2032.

Major market player included in this report are:

  • Alteryx
  • Altair Monarch
  • Tableau Prep
  • Datameer
  • IBM
  • Oracle
  • Palantir Foundry
  • Podium
  • SAP
  • Talend
  • Trifacta
  • Unifi

The detailed segments and sub-segment of the market are explained below:

By Type:

  • Cloud Based
  • Web Based

By Application:

  • Large Enterprises
  • SMEs

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market

Table of Contents

Chapter 1. Global Data Preparation Software Market Executive Summary

  • 1.1. Global Data Preparation Software Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Type
    • 1.3.2. By Application
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Data Preparation Software Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Data Preparation Software Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Increasing Demand for Data-Driven Decision Making
    • 3.1.2. Rising Adoption of Cloud-Based Solutions
    • 3.1.3. Growing Need for Self-Service Data Preparation Tools
  • 3.2. Market Challenges
    • 3.2.1. High Costs of Deployment and Maintenance
    • 3.2.2. Data Privacy Concerns
  • 3.3. Market Opportunities
    • 3.3.1. Expansion in Emerging Markets
    • 3.3.2. Integration with Advanced Analytics and AI

Chapter 4. Global Data Preparation Software Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Data Preparation Software Market Size & Forecasts by Type 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Data Preparation Software Market: Type Revenue Trend Analysis, 2022 & 2032 (USD Million)
    • 5.2.1. Cloud Based
    • 5.2.2. Web Based

Chapter 6. Global Data Preparation Software Market Size & Forecasts by Application 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Data Preparation Software Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Million)
    • 6.2.1. Large Enterprises
    • 6.2.2. SMEs

Chapter 7. Global Data Preparation Software Market Size & Forecasts by Region 2022-2032

  • 7.1. North America Data Preparation Software Market
    • 7.1.1. U.S. Data Preparation Software Market
      • 7.1.1.1. Type breakdown size & forecasts, 2022-2032
      • 7.1.1.2. Application breakdown size & forecasts, 2022-2032
    • 7.1.2. Canada Data Preparation Software Market
  • 7.2. Europe Data Preparation Software Market
    • 7.2.1. U.K. Data Preparation Software Market
    • 7.2.2. Germany Data Preparation Software Market
    • 7.2.3. France Data Preparation Software Market
    • 7.2.4. Spain Data Preparation Software Market
    • 7.2.5. Italy Data Preparation Software Market
    • 7.2.6. Rest of Europe Data Preparation Software Market
  • 7.3. Asia-Pacific Data Preparation Software Market
    • 7.3.1. China Data Preparation Software Market
    • 7.3.2. India Data Preparation Software Market
    • 7.3.3. Japan Data Preparation Software Market
    • 7.3.4. Australia Data Preparation Software Market
    • 7.3.5. South Korea Data Preparation Software Market
    • 7.3.6. Rest of Asia Pacific Data Preparation Software Market
  • 7.4. Latin America Data Preparation Software Market
    • 7.4.1. Brazil Data Preparation Software Market
    • 7.4.2. Mexico Data Preparation Software Market
    • 7.4.3. Rest of Latin America Data Preparation Software Market
  • 7.5. Middle East & Africa Data Preparation Software Market
    • 7.5.1. Saudi Arabia Data Preparation Software Market
    • 7.5.2. South Africa Data Preparation Software Market
    • 7.5.3. Rest of Middle East & Africa Data Preparation Software Market

Chapter 8. Competitive Intelligence

  • 8.1. Key Company SWOT Analysis
  • 8.2. Top Market Strategies
  • 8.3. Company Profiles
    • 8.3.1. Alteryx
      • 8.3.1.1. Key Information
      • 8.3.1.2. Overview
      • 8.3.1.3. Financial (Subject to Data Availability)
      • 8.3.1.4. Product Summary
      • 8.3.1.5. Market Strategies
    • 8.3.2. IBM
    • 8.3.3. Oracle
    • 8.3.4. Altair Monarch
    • 8.3.5. Tableau Prep
    • 8.3.6. Datameer
    • 8.3.7. Palantir Foundry
    • 8.3.8. Podium
    • 8.3.9. SAP
    • 8.3.10. Talend
    • 8.3.11. Trifacta
    • 8.3.12. Unifi

Chapter 9. Research Process

  • 9.1. Research Process
    • 9.1.1. Data Mining
    • 9.1.2. Analysis
    • 9.1.3. Market Estimation
    • 9.1.4. Validation
    • 9.1.5. Publishing
  • 9.2. Research Attributes