Data Wrangling Market by Component, Business Function, Deployment Mode, Organization Size, End-User

KEY MARKET STATISTICS
Base Year [2023]	USD 4.31 billion
Estimated Year [2024]	USD 4.99 billion
Forecast Year [2030]	USD 8.39 billion
CAGR (%)	9.98%

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?

Product Code: MRR-C002B1C99877

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