デフォルト表紙
市場調査レポート
商品コード
1677945

データラングリングの市場規模、シェア、成長分析:コンポーネント別、展開モデル別、業界別、組織規模別、業務機能別、地域別 - 産業予測 2025~2032年

Data Wrangling Market Size, Share, and Growth Analysis, By Component (Tools, Services), By Deployment Model (On-Premises, Cloud), By Industry, By Organization Size, By Business Function, By Region - Industry Forecast 2025-2032


出版日
発行
SkyQuest
ページ情報
英文 196 Pages
納期
3~5営業日
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.99円
データラングリングの市場規模、シェア、成長分析:コンポーネント別、展開モデル別、業界別、組織規模別、業務機能別、地域別 - 産業予測 2025~2032年
出版日: 2025年03月06日
発行: SkyQuest
ページ情報: 英文 196 Pages
納期: 3~5営業日
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  • 概要
  • 目次
概要

データラングリング市場規模は2023年に38億米ドル、予測期間(2025-2032年)のCAGRは13.8%で、2024年の43億2,000万米ドルから2032年には121億6,000万米ドルに成長すると予測されています。

2023年10月現在、データラングリング業界は、データ損失インシデントの減少、BYOD動向、ワークプレイスモビリティに牽引され、大きな成長を遂げようとしています。しかし、機械学習や人工知能(AI)の進歩とともに、データの急速な増大と複雑化から課題も生じています。ITリーダーは、データの関連性やツールの効果的な使用といった重要な運用上の問題に直面しています。AIをうまく活用するには、情報に意味があり、コンテキストが豊富であることを保証する強固なデータ管理が必要です。組織は強力なデータ関係を構築し、ITアーキテクチャを包括的に可視化するソリューションを活用してアナリティクスを効率化しなければならないです。AIがより重要な意思決定の役割を担うようになる中、効果的なデータ管理に注力することは、AIのメリットを享受しながら企業目標を達成するために不可欠となると思われます。

目次

イントロダクション

  • 調査の目的
  • 調査範囲
  • 定義

調査手法

  • 情報調達
  • 二次と一次データの方法
  • 市場規模予測
  • 市場の前提条件と制限

エグゼクティブサマリー

  • 世界市場の見通し
  • 供給と需要の動向分析
  • セグメント別機会分析

市場力学と見通し

  • 市場概要
  • 市場規模
  • 市場力学
    • 促進要因と機会
    • 抑制要因と課題
  • ポーターの分析

主な市場の考察

  • 重要成功要因
  • 競合の程度
  • 主な投資機会
  • 市場エコシステム
  • 市場の魅力指数(2024年)
  • PESTEL分析
  • マクロ経済指標
  • バリューチェーン分析
  • 価格分析

データラングリング市場規模:コンポーネント別& CAGR(2025-2032)

  • 市場概要
  • ツール
    • Tabula
    • CSVKit
    • その他
  • サービス
    • マネージドサービス
    • プロフェッショナルサービス
    • コンサルティングサービス
    • サポート・メンテナンスサービス

データラングリング市場規模:展開モデル別& CAGR(2025-2032)

  • 市場概要
  • オンプレミス
  • クラウド

データラングリング市場規模:業界別& CAGR(2025-2032)

  • 市場概要
  • 銀行金融サービス保険
  • 政府・公共部門
  • ヘルスケア・ライフサイエンス
  • 小売業・電子商取引
  • 旅行・ホスピタリティ
  • 通信・IT
  • エネルギー・公益事業
  • その他

データラングリング市場規模:組織規模別& CAGR(2025-2032)

  • 市場概要
  • 中小企業
  • 大企業

データラングリング市場規模:業務機能別& CAGR(2025-2032)

  • 市場概要
  • マーケティング・セールス
  • ファイナンス
  • オペレーション
  • 人事
  • 法律

データラングリング市場規模:地域別& CAGR(2025-2032)

  • 北米
    • 米国
    • カナダ
  • 欧州
    • ドイツ
    • スペイン
    • フランス
    • 英国
    • イタリア
    • その他欧州地域
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • ラテンアメリカ
    • ブラジル
    • その他ラテンアメリカ地域
  • 中東・アフリカ
    • GCC諸国
    • 南アフリカ
    • その他中東・アフリカ

競合情報

  • 上位5社の比較
  • 主要企業の市場ポジショニング(2024年)
  • 主な市場企業が採用した戦略
  • 最近の市場動向
  • 企業の市場シェア分析(2024年)
  • 主要企業の企業プロファイル
    • 企業の詳細
    • 製品ポートフォリオ分析
    • 企業のセグメント別シェア分析
    • 収益の前年比比較(2022-2024)

主要企業プロファイル

  • IBM Corporation(USA)
  • Oracle Corporation(USA)
  • SAP SE(Germany)
  • Microsoft Corporation(USA)
  • SAS Institute Inc.(USA)
  • Datawatch Corporation(USA)
  • Cambridge Semantics(USA)
  • Tamr, Inc.(USA)
  • Experian Ltd.(Ireland)
  • Precisely(USA)
  • Syncsort(USA)
  • DataRobot, Inc.(USA)
  • Ataccama Corporation(Canada)

結論と提言

目次
Product Code: SQMIG45J2281

Data Wrangling Market size was valued at USD 3.8 billion in 2023 and is poised to grow from USD 4.32 billion in 2024 to USD 12.16 billion by 2032, growing at a CAGR of 13.8% during the forecast period (2025-2032).

As of October 2023, the data wrangling industry is poised for significant growth driven by the decline in data loss incidents, BYOD trends, and workplace mobility. However, challenges arise from the rapid growth and complexity of data alongside advancements in machine learning and artificial intelligence (AI). IT leaders face crucial operations issues such as data relevance and the effective use of tools. Successfully harnessing AI necessitates robust data management that ensures information is meaningful and context-rich. Organizations must foster strong data relationships and leverage solutions that provide comprehensive visibility into IT architecture to streamline analytics. As AI takes on more critical decision-making roles, focusing on effective data management will be integral to achieving corporate objectives while reaping AI benefits.

Top-down and bottom-up approaches were used to estimate and validate the size of the Data Wrangling market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Data Wrangling Market Segments Analysis

Global Data Wrangling Market is segmented by Component, Deployment Model, Industry, Organization Size, Business Function and region. Based on Component, the market is segmented into Tools and Services. Based on Deployment Model, the market is segmented into On-Premises and Cloud. Based on Industry, the market is segmented into Banking, Financial Services, and Insurance, Government & Public Sector, Healthcare & Life Sciences, Retail & Ecommerce, Travel & Hospitality, Telecom & IT, Energy & Utilities and Others. Based on Organization Size, the market is segmented into Small and Medium-Sized Enterprises and Large Enterprises. Based on Business Function, the market is segmented into Marketing and Sales, Finance, Operations, HR and Legal. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Data Wrangling Market

The Data Wrangling market is driven by the increasing complexity of managing vast amounts of unstructured data sourced from diverse origins. This complexity necessitates advanced data wrangling tools that streamline the transformation and organization of data, enabling businesses to derive valuable insights. As organizations face the challenge of efficiently handling intricate datasets, the demand for robust data wrangling solutions continues to rise. This heightened need reflects the broader trend in data management, where effective wrangling processes are essential for optimizing operational efficiency and informed decision-making. Consequently, the market for data wrangling tools is experiencing significant growth as enterprises seek to harness the power of their data.

Restraints in the Data Wrangling Market

The Data Wrangling market faces several constraints, primarily stemming from the challenges organizations encounter when managing substantial volumes of sensitive information. Ensuring compliance with stringent data privacy regulations, such as the General Data Protection Regulation (GDPR), poses a significant hurdle. Companies may hesitate to adopt data wrangling solutions due to these compliance concerns, as they prioritize safeguarding data security. The need to maintain privacy while effectively processing and transforming extensive datasets can create additional obstacles, ultimately stifling the growth of data wrangling services. As a result, organizations must navigate these complexities to implement effective data management practices while adhering to legal requirements.

Market Trends of the Data Wrangling Market

As of October 2023, the data wrangling market is experiencing a notable trend characterized by the increasing integration of AI and machine learning technologies. These advancements facilitate the automation of data cleaning, transformation, and analysis, markedly enhancing the accuracy and efficiency of data processes. Consequently, organizations can derive actionable insights rapidly, which in turn empowers informed decision-making across diverse sectors. This technological convergence not only streamlines workflows but also fosters innovation, prompting a surge in demand for intuitive, AI-driven data wrangling solutions. As businesses aim to leverage big data for strategic advantage, the market is poised for substantial growth and transformation.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2024
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis

Global Data Wrangling Market Size by Component & CAGR (2025-2032)

  • Market Overview
  • Tools
    • Tabula
    • CSVKit
    • Others
  • Services
    • Managed Services
    • Professional Services
    • Consulting Services
    • Support & Maintenance Services

Global Data Wrangling Market Size by Deployment Model & CAGR (2025-2032)

  • Market Overview
  • On-Premises
  • Cloud

Global Data Wrangling Market Size by Industry & CAGR (2025-2032)

  • Market Overview
  • Banking, Financial Services, and Insurance
  • Government & Public Sector
  • Healthcare & Life Sciences
  • Retail & Ecommerce
  • Travel & Hospitality
  • Telecom & IT
  • Energy & Utilities
  • Others

Global Data Wrangling Market Size by Organization Size & CAGR (2025-2032)

  • Market Overview
  • Small and Medium-Sized Enterprises
  • Large Enterprises

Global Data Wrangling Market Size by Business Function & CAGR (2025-2032)

  • Market Overview
  • Marketing and Sales
  • Finance
  • Operations
  • HR
  • Legal

Global Data Wrangling Market Size & CAGR (2025-2032)

  • North America (Component, Deployment Model, Industry, Organization Size, Business Function)
    • US
    • Canada
  • Europe (Component, Deployment Model, Industry, Organization Size, Business Function)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Component, Deployment Model, Industry, Organization Size, Business Function)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Component, Deployment Model, Industry, Organization Size, Business Function)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Component, Deployment Model, Industry, Organization Size, Business Function)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • IBM Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Oracle Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAP SE (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAS Institute Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Datawatch Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cambridge Semantics (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Tamr, Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Experian Ltd. (Ireland)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Precisely (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Syncsort (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • DataRobot, Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Ataccama Corporation (Canada)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations