Data Wrangling Market by Component (Service, Tools), Business Function (Finance, Human Resources & Legal, Marketing & Sales), Deployment Mode, Organization Size, End-User - Global Forecast 2024-2030

Data Wrangling Market by Component (Service, Tools), Business Function (Finance, Human Resources & Legal, Marketing & Sales), Deployment Mode, Organization Size, End-User - Global Forecast 2024-2030


The Data Wrangling Market size was estimated at USD 4.31 billion in 2023 and expected to reach USD 4.99 billion in 2024, at a CAGR 9.98% to reach USD 8.39 billion by 2030.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Data Wrangling Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Data Wrangling Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Data Wrangling Market, highlighting leading vendors and their innovative profiles. These include Altair Engineering Inc., Alteryx, Cambridge Semantics, Cloud Software Group, Inc., Cloudera, Inc., Dataiku, Datameer, Inc., DataRobot, Inc., Fivetran Inc., Hitachi Vantara Corporation, Informatica Inc., International Business Machines Corporation, Microsoft Corporation, MicroStrategy Incorporated, NumFOCUS, Inc., Oracle Corporation, QlikTech International AB, Quest Software Inc., Rapid Insight Inc., SAS Institute Inc., TABLEAU SOFTWARE, LLC, TAMR, Inc, and Teradata Corporation.

Market Segmentation & Coverage

This research report categorizes the Data Wrangling Market to forecast the revenues and analyze trends in each of the following sub-markets:

Component
Service

Tools
Business Function
Finance

Human Resources & Legal

Marketing & Sales

Operations
Deployment Mode
Cloud

On-premise
Organization Size
Large Enterprises

Small & Medium-Sized Enterprises
End-User
BFSI

Energy & Utilities

Healthcare & Life Sciences

Retail & eCommerce

Telecom & IT

Transportation & Logistics

Travel & Hospitality
Region
Americas
Argentina
Brazil
Canada
Mexico
United States
California
Florida
Illinois
New York
Ohio
Pennsylvania
Texas

Asia-Pacific
Australia
China
India
Indonesia
Japan
Malaysia
Philippines
Singapore
South Korea
Taiwan
Thailand
Vietnam

Europe, Middle East & Africa
Denmark
Egypt
Finland
France
Germany
Israel
Italy
Netherlands
Nigeria
Norway
Poland
Qatar
Russia
Saudi Arabia
South Africa
Spain
Sweden
Switzerland
Turkey
United Arab Emirates
United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Data Wrangling Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Data Wrangling Market?
3. What are the technology trends and regulatory frameworks in the Data Wrangling Market?
4. What is the market share of the leading vendors in the Data Wrangling Market?
5. Which modes and strategic moves are suitable for entering the Data Wrangling Market?PDF E-mail From Publisher (2-5)Users License


1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Data Wrangling Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Growing volumes of digital data and data security concerns
5.1.1.2. Introduction of AI and big-data technologies in IoT devices
5.1.1.3. Trends of bring your own device (BYOD) and enterprise mobility
5.1.2. Restraints
5.1.2.1. Problems related to scalability and performance
5.1.3. Opportunities
5.1.3.1. Robust research activities to enhance and develop improved data wrangling
5.1.3.2. High spending and inclination toward automated solutions
5.1.4. Challenges
5.1.4.1. Data security and privacy concerns associated with data wrangling
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter’s Five Forces Analysis
5.5.1. Threat of New Entrants
5.5.2. Threat of Substitutes
5.5.3. Bargaining Power of Customers
5.5.4. Bargaining Power of Suppliers
5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework
6. Data Wrangling Market, by Component
6.1. Introduction
6.2. Service
6.3. Tools
7. Data Wrangling Market, by Business Function
7.1. Introduction
7.2. Finance
7.3. Human Resources & Legal
7.4. Marketing & Sales
7.5. Operations
8. Data Wrangling Market, by Deployment Mode
8.1. Introduction
8.2. Cloud
8.3. On-premise
9. Data Wrangling Market, by Organization Size
9.1. Introduction
9.2. Large Enterprises
9.3. Small & Medium-Sized Enterprises
10. Data Wrangling Market, by End-User
10.1. Introduction
10.2. BFSI
10.3. Energy & Utilities
10.4. Healthcare & Life Sciences
10.5. Retail & eCommerce
10.6. Telecom & IT
10.7. Transportation & Logistics
10.8. Travel & Hospitality
11. Americas Data Wrangling Market
11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States
12. Asia-Pacific Data Wrangling Market
12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam
13. Europe, Middle East & Africa Data Wrangling Market
13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom
14. Competitive Landscape
14.1. FPNV Positioning Matrix
14.2. Market Share Analysis, By Key Player
14.3. Competitive Scenario Analysis, By Key Player
15. Competitive Portfolio
15.1. Key Company Profiles
15.1.1. Altair Engineering Inc.
15.1.2. Alteryx
15.1.3. Cambridge Semantics
15.1.4. Cloud Software Group, Inc.
15.1.5. Cloudera, Inc.
15.1.6. Dataiku
15.1.7. Datameer, Inc.
15.1.8. DataRobot, Inc.
15.1.9. Fivetran Inc.
15.1.10. Hitachi Vantara Corporation
15.1.11. Informatica Inc.
15.1.12. International Business Machines Corporation
15.1.13. Microsoft Corporation
15.1.14. MicroStrategy Incorporated
15.1.15. NumFOCUS, Inc.
15.1.16. Oracle Corporation
15.1.17. QlikTech International AB
15.1.18. Quest Software Inc.
15.1.19. Rapid Insight Inc.
15.1.20. SAS Institute Inc.
15.1.21. TABLEAU SOFTWARE, LLC
15.1.22. TAMR, Inc
15.1.23. Teradata Corporation
15.2. Key Product Portfolio
16. Appendix
16.1. Discussion Guide
16.2. License & Pricing
FIGURE 1. DATA WRANGLING MARKET RESEARCH PROCESS
FIGURE 2. DATA WRANGLING MARKET SIZE, 2023 VS 2030
FIGURE 3. DATA WRANGLING MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. DATA WRANGLING MARKET SIZE, BY REGION, 2023 VS 2030 (%)
FIGURE 5. DATA WRANGLING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. DATA WRANGLING MARKET DYNAMICS
FIGURE 7. DATA WRANGLING MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
FIGURE 8. DATA WRANGLING MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 9. DATA WRANGLING MARKET SIZE, BY BUSINESS FUNCTION, 2023 VS 2030 (%)
FIGURE 10. DATA WRANGLING MARKET SIZE, BY BUSINESS FUNCTION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 11. DATA WRANGLING MARKET SIZE, BY DEPLOYMENT MODE, 2023 VS 2030 (%)
FIGURE 12. DATA WRANGLING MARKET SIZE, BY DEPLOYMENT MODE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 13. DATA WRANGLING MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2030 (%)
FIGURE 14. DATA WRANGLING MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 15. DATA WRANGLING MARKET SIZE, BY END-USER, 2023 VS 2030 (%)
FIGURE 16. DATA WRANGLING MARKET SIZE, BY END-USER, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 17. AMERICAS DATA WRANGLING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 18. AMERICAS DATA WRANGLING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 19. UNITED STATES DATA WRANGLING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 20. UNITED STATES DATA WRANGLING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 21. ASIA-PACIFIC DATA WRANGLING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 22. ASIA-PACIFIC DATA WRANGLING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 23. EUROPE, MIDDLE EAST & AFRICA DATA WRANGLING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 24. EUROPE, MIDDLE EAST & AFRICA DATA WRANGLING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 25. DATA WRANGLING MARKET, FPNV POSITIONING MATRIX, 2023
FIGURE 26. DATA WRANGLING MARKET SHARE, BY KEY PLAYER, 2023

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