Data Wrangling Market by Business Function (Marketing and Sales, Finance, Operations, HR, and Legal), Component (Tools and Services), Deployment Model, Organization Size, Industry Vertical, and Region - Global Forecast to 2023
Increasing volume and velocity of data is the key growth driver for the data wrangling market
The data wrangling market size is expected to grow from USD 1.29 billion in 2018 to USD 3.18 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 19.7% during the forecast period. The growth factors include the increasing volume and velocity of data and advancements in AI and ML technologies. However, companies’ reluctance to shift from traditional ETL tools to advanced automated tools is a restraining factor in the data wrangling market.
Finance business function is estimated to hold the largest market size in 2018 in the data wrangling market.
Recognition software consists of various modules used for object, voice, speech, image, gesture, facial, and character recognition. The recognition software provides highly integrated tools that help bot developers integrate AI into the software to enable the robot to tackle problems, such as language and dialog skills.
The finance business application utilizes the power of analytics to determine risk factors, enhance business processes, invest judiciously, access profitability, identify target customers, and predict future events. Along with this, analytics software also assists in improving client relations, driving revenue, managing risks, meeting regulatory obligations, streamlining back-office processes, and developing high quality products and services. Data wrangling tools are the precursor to analytics and thus would be adopted substantially with the growing use of analytics in finance business process.
Asia Pacific (APAC) is expected to grow at the highest rate during the forecast period in the data wrangling market by region
The APAC region is expected to grow at the highest rate in the data wrangling market during the forecast period. Australia, New Zealand, China, Singapore, and Japan are witnessing growth in big data and analytics startups. This would create numerous growth opportunities especially in China, India, Bangladesh, and others. With the growth of smart cities and proliferation of IoT devices, the region is expected to witness huge growth in the coming years.
Data wrangling solution providers have started expanding their footprint in Japan owing to the increase in big data and rising need for data preparation solutions. For instance, Paxata partnered with K.K. Ashisuto to serve as a distributor for Paxata’s data preparation solution. This is expected to drive the growth of data wrangling solutions during the forecast period.
In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with the key people. The break-up of the profile of the primary participants is as follows:
1. Trifacta (US)
2. Datawatch (US)
3. Dataiku (France)
4. IBM (US)
5. SAS Institute (US)
6. Oracle (US)
7. Talend (US)
8. Alteryx (US)
9. TIBCO (US)
10. Paxata (US)
11. Informatica (US)
12. Hitachi Vantara (US)
13. Teradata (US)
14. Datameer (US)
15. Cooladata (US)
16. Unifi (US)
17. Rapid Insight (US)
18. Infogi (US)
19. Zaloni (US)
20. Impetus (US)
21. Ideata Analytics (India)
22. Onedot (Switzerland)
23. IRI (US)
24. Brillio (US)
25. TMMData (US)
Research Report
The report segments the data wrangling market by business functions (marketing and sales, finance, operations, HR, and legal), components (tools and services), deployment models (on-premises and on-demand), organization sizes (large enterprises and SMEs), verticals (BFSI, telecom and IT, retail and eCommerce, healthcare and life sciences, travel and hospitality, government, manufacturing, energy and utilities, transportation and logistics, and others), and regions (North America, Europe, APAC, MEA, and Latin America).
Reasons to Buy the Report
The data wrangling market size is expected to grow from USD 1.29 billion in 2018 to USD 3.18 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 19.7% during the forecast period. The growth factors include the increasing volume and velocity of data and advancements in AI and ML technologies. However, companies’ reluctance to shift from traditional ETL tools to advanced automated tools is a restraining factor in the data wrangling market.
Finance business function is estimated to hold the largest market size in 2018 in the data wrangling market.
Recognition software consists of various modules used for object, voice, speech, image, gesture, facial, and character recognition. The recognition software provides highly integrated tools that help bot developers integrate AI into the software to enable the robot to tackle problems, such as language and dialog skills.
The finance business application utilizes the power of analytics to determine risk factors, enhance business processes, invest judiciously, access profitability, identify target customers, and predict future events. Along with this, analytics software also assists in improving client relations, driving revenue, managing risks, meeting regulatory obligations, streamlining back-office processes, and developing high quality products and services. Data wrangling tools are the precursor to analytics and thus would be adopted substantially with the growing use of analytics in finance business process.
Asia Pacific (APAC) is expected to grow at the highest rate during the forecast period in the data wrangling market by region
The APAC region is expected to grow at the highest rate in the data wrangling market during the forecast period. Australia, New Zealand, China, Singapore, and Japan are witnessing growth in big data and analytics startups. This would create numerous growth opportunities especially in China, India, Bangladesh, and others. With the growth of smart cities and proliferation of IoT devices, the region is expected to witness huge growth in the coming years.
Data wrangling solution providers have started expanding their footprint in Japan owing to the increase in big data and rising need for data preparation solutions. For instance, Paxata partnered with K.K. Ashisuto to serve as a distributor for Paxata’s data preparation solution. This is expected to drive the growth of data wrangling solutions during the forecast period.
In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with the key people. The break-up of the profile of the primary participants is as follows:
- By Company: Tier 1 – 33 %, Tier 2 –26%, and Tier 3 –41%
- By Designation: C level – 37%, Director level – 44%, and Others – 19%
- By Region: North America – 36%, Europe – 29%, APAC – 25% and RoW – 10%
1. Trifacta (US)
2. Datawatch (US)
3. Dataiku (France)
4. IBM (US)
5. SAS Institute (US)
6. Oracle (US)
7. Talend (US)
8. Alteryx (US)
9. TIBCO (US)
10. Paxata (US)
11. Informatica (US)
12. Hitachi Vantara (US)
13. Teradata (US)
14. Datameer (US)
15. Cooladata (US)
16. Unifi (US)
17. Rapid Insight (US)
18. Infogi (US)
19. Zaloni (US)
20. Impetus (US)
21. Ideata Analytics (India)
22. Onedot (Switzerland)
23. IRI (US)
24. Brillio (US)
25. TMMData (US)
Research Report
The report segments the data wrangling market by business functions (marketing and sales, finance, operations, HR, and legal), components (tools and services), deployment models (on-premises and on-demand), organization sizes (large enterprises and SMEs), verticals (BFSI, telecom and IT, retail and eCommerce, healthcare and life sciences, travel and hospitality, government, manufacturing, energy and utilities, transportation and logistics, and others), and regions (North America, Europe, APAC, MEA, and Latin America).
Reasons to Buy the Report
- To get a comprehensive overview of the global data wrangling market
- To gain wide-range of information about the top players in this market, their product portfolios, and the key strategies adopted
- To gain insights into the major countries/regions, in which the data wrangling market is flourishing across verticals
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 MARKET SCOPE
1.4 YEARS CONSIDERED FOR THE STUDY
1.5 CURRENCY
1.6 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakdown of primaries
2.1.2.2 Key industry insights
2.2 MARKET SIZE ESTIMATION
2.3 RESEARCH ASSUMPTIONS
2.4 LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN THE DATA WRANGLING MARKET
4.2 DATA WRANGLING MARKET, BY APPLICATION AND REGION
4.3 DATA WRANGLING MARKET: MARKET SHARE, BY REGION
4.4 LIFE CYCLE ANALYSIS, BY REGION, 2018
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.1.1 DRIVERS
5.1.1.1 Increasing volume and velocity of data
5.1.1.2 Advancements in AI and ML technologies
5.1.2 RESTRAINTS
5.1.2.1 Reluctance to shift from traditional ETL tools to advanced automated tools
5.1.3 OPPORTUNITIES
5.1.3.1 Increasing regulatory pressure
5.1.3.2 Growth of edge computing
5.1.4 CHALLENGES
5.1.4.1 Lack of awareness of data wrangling tools among SMEs
5.1.4.2 Concerns regarding data quality
5.2 DATA TYPES
5.2.1 CUSTOMER DATA
5.2.2 PRODUCT DATA
5.2.3 FINANCE DATA
5.2.4 COMPLIANCE DATA
5.2.5 SUPPLIER DATA
5.3 DATA WRANGLING: USE CASES
5.3.1 USE CASE #1: UNIFICATION OF DATA
5.3.2 USE CASE #2: DATA WRANGLING AND ANALYTICS TO OBTAIN CUSTOMER INSIGHTS
5.3.3 USE CASE #3: DATA INTEGRATION SAVED FORTUNE 50 TELECOM GIANT MILLIONS IN CALL CENTER INTERACTIONS
5.3.4 USE CASE #4: ONEDOT MADE IT SIMPLE FOR ZAGENO TO INTEGRATE UNSTRUCTURED DATA AND DELIVER THE BEST POSSIBLE SEARCH RESULTS
6 DATA WRANGLING MARKET, BY BUSINESS FUNCTION
6.1 INTRODUCTION
6.2 FINANCE
6.3 MARKETING AND SALES
6.4 OPERATIONS
6.5 HUMAN RESOURCES
6.6 LEGAL
7 DATA WRANGLING MARKET, BY COMPONENT
7.1 INTRODUCTION
7.2 TOOLS
7.3 SERVICES
7.3.1 MANAGED SERVICES
7.3.2 PROFESSIONAL SERVICES
7.3.2.1 Consulting services
7.3.2.2 Support and maintenance services
8 DATA WRANGLING MARKET, BY DEPLOYMENT MODEL
8.1 INTRODUCTION
8.2 ON-PREMISES
8.3 CLOUD
9 DATA WRANGLING MARKET, BY ORGANIZATION SIZE
9.1 INTRODUCTION
9.2 LARGE ENTERPRISES
9.3 SMALL AND MEDIUM-SIZED ENTERPRISES
10 DATA WRANGLING MARKET, BY INDUSTRY VERTICAL
10.1 INTRODUCTION
10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
10.3 GOVERNMENT AND PUBLIC SECTOR
10.4 HEALTHCARE AND LIFE SCIENCES
10.5 RETAIL AND ECOMMERCE
10.6 TRAVEL AND HOSPITALITY
10.7 AUTOMOTIVE AND TRANSPORTATION
10.8 ENERGY AND UTILITIES
10.9 TELECOMMUNICATION AND IT
10.10 MANUFACTURING
10.11 OTHERS
11 DATA WRANGLING MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 BY COUNTRY
11.2.1.1 United States
11.2.1.2 Canada
11.3 EUROPE
11.3.1 BY COUNTRY
11.3.1.1 United Kingdom
11.3.1.2 Germany
11.3.1.3 France
11.3.1.4 Rest of Europe
11.4 ASIA PACIFIC
11.4.1 BY COUNTRY
11.4.1.1 China
11.4.1.2 Australia and New Zealand
11.4.1.3 Singapore
11.4.1.4 Japan
11.4.1.5 Rest of APAC
11.5 MIDDLE EAST AND AFRICA
11.5.1 BY COUNTRY
11.5.1.1 United Arab Emirates (UAE)
11.5.1.2 Kingdom of Saudi Arabia
11.5.1.3 Qatar
11.5.1.4 South Africa
11.5.1.5 Rest of MEA
11.6 LATIN AMERICA
11.6.1 BY COUNTRY
11.6.1.1 Brazil
11.6.1.2 Mexico
11.6.1.3 Rest of Latin America
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 PROMINENT PLAYERS IN THE DATA WRANGLING MARKET
12.3 COMPETITIVE SCENARIO
12.3.1 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS
12.3.2 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS
12.3.3 BUSINESS EXPANSIONS
12.3.4 ACQUISITIONS
13 COMPANY PROFILES
(Business Overview, Solutions/Software Offered, Recent Developments, SWOT Analysis, and MnM View)*
13.1 IBM
13.2 ORACLE
13.3 SAS INSTITUTE
13.4 TRIFACTA
13.5 DATAWATCH
13.6 TALEND
13.7 ALTERYX
13.8 DATAIKU
13.9 TIBCO SOFTWARE
13.10 PAXATA
13.11 INFORMATICA
13.12 HITACHI VANTARA
13.13 TERADATA
13.14 IRI, THE COSORT COMPANY
13.15 BRILLIO
13.16 ONEDOT
13.17 TMMDATA
13.18 DATAMEER
13.19 COOLADATA
13.20 UNIFI SOFTWARE
13.21 RAPID INSIGHT
13.22 INFOGIX
13.23 ZALONI
13.24 IMPETUS
13.25 IDEATA ANALYTICS
*Details on Business Overview, Solutions/Software Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.
14 APPENDIX
14.1 KEY INSIGHTS OF INDUSTRY EXPERTS
14.2 DISCUSSION GUIDE
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
14.5 AVAILABLE CUSTOMIZATION
14.6 RELATED REPORTS
14.7 AUTHOR DETAILS
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 MARKET SCOPE
1.4 YEARS CONSIDERED FOR THE STUDY
1.5 CURRENCY
1.6 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakdown of primaries
2.1.2.2 Key industry insights
2.2 MARKET SIZE ESTIMATION
2.3 RESEARCH ASSUMPTIONS
2.4 LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN THE DATA WRANGLING MARKET
4.2 DATA WRANGLING MARKET, BY APPLICATION AND REGION
4.3 DATA WRANGLING MARKET: MARKET SHARE, BY REGION
4.4 LIFE CYCLE ANALYSIS, BY REGION, 2018
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.1.1 DRIVERS
5.1.1.1 Increasing volume and velocity of data
5.1.1.2 Advancements in AI and ML technologies
5.1.2 RESTRAINTS
5.1.2.1 Reluctance to shift from traditional ETL tools to advanced automated tools
5.1.3 OPPORTUNITIES
5.1.3.1 Increasing regulatory pressure
5.1.3.2 Growth of edge computing
5.1.4 CHALLENGES
5.1.4.1 Lack of awareness of data wrangling tools among SMEs
5.1.4.2 Concerns regarding data quality
5.2 DATA TYPES
5.2.1 CUSTOMER DATA
5.2.2 PRODUCT DATA
5.2.3 FINANCE DATA
5.2.4 COMPLIANCE DATA
5.2.5 SUPPLIER DATA
5.3 DATA WRANGLING: USE CASES
5.3.1 USE CASE #1: UNIFICATION OF DATA
5.3.2 USE CASE #2: DATA WRANGLING AND ANALYTICS TO OBTAIN CUSTOMER INSIGHTS
5.3.3 USE CASE #3: DATA INTEGRATION SAVED FORTUNE 50 TELECOM GIANT MILLIONS IN CALL CENTER INTERACTIONS
5.3.4 USE CASE #4: ONEDOT MADE IT SIMPLE FOR ZAGENO TO INTEGRATE UNSTRUCTURED DATA AND DELIVER THE BEST POSSIBLE SEARCH RESULTS
6 DATA WRANGLING MARKET, BY BUSINESS FUNCTION
6.1 INTRODUCTION
6.2 FINANCE
6.3 MARKETING AND SALES
6.4 OPERATIONS
6.5 HUMAN RESOURCES
6.6 LEGAL
7 DATA WRANGLING MARKET, BY COMPONENT
7.1 INTRODUCTION
7.2 TOOLS
7.3 SERVICES
7.3.1 MANAGED SERVICES
7.3.2 PROFESSIONAL SERVICES
7.3.2.1 Consulting services
7.3.2.2 Support and maintenance services
8 DATA WRANGLING MARKET, BY DEPLOYMENT MODEL
8.1 INTRODUCTION
8.2 ON-PREMISES
8.3 CLOUD
9 DATA WRANGLING MARKET, BY ORGANIZATION SIZE
9.1 INTRODUCTION
9.2 LARGE ENTERPRISES
9.3 SMALL AND MEDIUM-SIZED ENTERPRISES
10 DATA WRANGLING MARKET, BY INDUSTRY VERTICAL
10.1 INTRODUCTION
10.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
10.3 GOVERNMENT AND PUBLIC SECTOR
10.4 HEALTHCARE AND LIFE SCIENCES
10.5 RETAIL AND ECOMMERCE
10.6 TRAVEL AND HOSPITALITY
10.7 AUTOMOTIVE AND TRANSPORTATION
10.8 ENERGY AND UTILITIES
10.9 TELECOMMUNICATION AND IT
10.10 MANUFACTURING
10.11 OTHERS
11 DATA WRANGLING MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 BY COUNTRY
11.2.1.1 United States
11.2.1.2 Canada
11.3 EUROPE
11.3.1 BY COUNTRY
11.3.1.1 United Kingdom
11.3.1.2 Germany
11.3.1.3 France
11.3.1.4 Rest of Europe
11.4 ASIA PACIFIC
11.4.1 BY COUNTRY
11.4.1.1 China
11.4.1.2 Australia and New Zealand
11.4.1.3 Singapore
11.4.1.4 Japan
11.4.1.5 Rest of APAC
11.5 MIDDLE EAST AND AFRICA
11.5.1 BY COUNTRY
11.5.1.1 United Arab Emirates (UAE)
11.5.1.2 Kingdom of Saudi Arabia
11.5.1.3 Qatar
11.5.1.4 South Africa
11.5.1.5 Rest of MEA
11.6 LATIN AMERICA
11.6.1 BY COUNTRY
11.6.1.1 Brazil
11.6.1.2 Mexico
11.6.1.3 Rest of Latin America
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 PROMINENT PLAYERS IN THE DATA WRANGLING MARKET
12.3 COMPETITIVE SCENARIO
12.3.1 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS
12.3.2 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS
12.3.3 BUSINESS EXPANSIONS
12.3.4 ACQUISITIONS
13 COMPANY PROFILES
(Business Overview, Solutions/Software Offered, Recent Developments, SWOT Analysis, and MnM View)*
13.1 IBM
13.2 ORACLE
13.3 SAS INSTITUTE
13.4 TRIFACTA
13.5 DATAWATCH
13.6 TALEND
13.7 ALTERYX
13.8 DATAIKU
13.9 TIBCO SOFTWARE
13.10 PAXATA
13.11 INFORMATICA
13.12 HITACHI VANTARA
13.13 TERADATA
13.14 IRI, THE COSORT COMPANY
13.15 BRILLIO
13.16 ONEDOT
13.17 TMMDATA
13.18 DATAMEER
13.19 COOLADATA
13.20 UNIFI SOFTWARE
13.21 RAPID INSIGHT
13.22 INFOGIX
13.23 ZALONI
13.24 IMPETUS
13.25 IDEATA ANALYTICS
*Details on Business Overview, Solutions/Software Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.
14 APPENDIX
14.1 KEY INSIGHTS OF INDUSTRY EXPERTS
14.2 DISCUSSION GUIDE
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
14.5 AVAILABLE CUSTOMIZATION
14.6 RELATED REPORTS
14.7 AUTHOR DETAILS
LIST OF TABLES
Table 1 DATA WRANGLING MARKET SIZE, 2016–2023 (USD MILLION)
Table 2 DATA WRANGLING MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION)
Table 3 FINANCE: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 4 MARKETING AND SALES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 5 OPERATIONS: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 6 HUMAN RESOURCES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 7 LEGAL: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 8 DATA WRANGLING MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION)
Table 9 TOOLS: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 10 SERVICES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 11 SERVICES: DATA WRANGLING MARKET SIZE, BY TYPE, 2016–2023 (USD MILLION)
Table 12 MANAGED SERVICES MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 13 PROFESSIONAL SERVICES MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 14 PROFESSIONAL SERVICES MARKET SIZE, BY TYPE, 2016–2023 (USD MILLION)
Table 15 CONSULTING SERVICES MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 16 SUPPORT AND MAINTENANCE SERVICES MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 17 DATA WRANGLING MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION)
Table 18 ON-PREMISES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 19 CLOUD: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 20 DATA WRANGLING MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION)
Table 21 LARGE ENTERPRISES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 22 SMALL AND MEDIUM-SIZED ENTERPRISES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 23 DATA WRANGLING MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION)
Table 24 BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 25 GOVERNMENT AND PUBLIC SECTOR: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 26 HEALTHCARE AND LIFE SCIENCES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 27 RETAIL AND ECOMMERCE: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 28 TRAVEL AND HOSPITALITY: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 29 AUTOMOTIVE AND TRANSPORTATION: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 30 ENERGY AND UTILITIES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 31 TELECOMMUNICATION AND IT: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 32 MANUFACTURING: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 33 OTHERS: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 34 DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 35 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION)
Table 36 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION)
Table 37 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION)
Table 38 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION)
Table 39 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION)
Table 40 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION)
Table 41 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION)
Table 42 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION)
Table 43 EUROPE: DATA WRANGLING MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION)
Table 44 EUROPE: DATA WRANGLING MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION)
Table 45 EUROPE: DATA WRANGLING MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION)
Table 46 EUROPE: DATA WRANGLING MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION)
Table 47 EUROPE: DATA WRANGLING MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION)
Table 48 EUROPE: DATA WRANGLING MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION)
Table 49 EUROPE: DATA WRANGLING MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION)
Table 50 EUROPE: DATA WRANGLING MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION)
Table 51 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION)
Table 52 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION)
Table 53 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION)
Table 54 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION)
Table 55 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION)
Table 56 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION)
Table 57 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION)
Table 58 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION)
Table 59 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION)
Table 60 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION)
Table 61 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION)
Table 62 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION)
Table 63 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION)
Table 64 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION)
Table 65 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION)
Table 66 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION)
Table 67 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION)
Table 68 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION)
Table 69 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION)
Table 70 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION)
Table 71 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION)
Table 72 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION)
Table 73 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION)
Table 74 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION)
Table 75 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS, 2014–2018
Table 76 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS, 2014–2018
Table 77 BUSINESS EXPANSIONS, 2014–2018
Table 78 ACQUISITIONS, 201–2018
Table 1 DATA WRANGLING MARKET SIZE, 2016–2023 (USD MILLION)
Table 2 DATA WRANGLING MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION)
Table 3 FINANCE: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 4 MARKETING AND SALES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 5 OPERATIONS: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 6 HUMAN RESOURCES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 7 LEGAL: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 8 DATA WRANGLING MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION)
Table 9 TOOLS: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 10 SERVICES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 11 SERVICES: DATA WRANGLING MARKET SIZE, BY TYPE, 2016–2023 (USD MILLION)
Table 12 MANAGED SERVICES MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 13 PROFESSIONAL SERVICES MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 14 PROFESSIONAL SERVICES MARKET SIZE, BY TYPE, 2016–2023 (USD MILLION)
Table 15 CONSULTING SERVICES MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 16 SUPPORT AND MAINTENANCE SERVICES MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 17 DATA WRANGLING MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION)
Table 18 ON-PREMISES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 19 CLOUD: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 20 DATA WRANGLING MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION)
Table 21 LARGE ENTERPRISES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 22 SMALL AND MEDIUM-SIZED ENTERPRISES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 23 DATA WRANGLING MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION)
Table 24 BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 25 GOVERNMENT AND PUBLIC SECTOR: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 26 HEALTHCARE AND LIFE SCIENCES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 27 RETAIL AND ECOMMERCE: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 28 TRAVEL AND HOSPITALITY: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 29 AUTOMOTIVE AND TRANSPORTATION: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 30 ENERGY AND UTILITIES: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 31 TELECOMMUNICATION AND IT: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 32 MANUFACTURING: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 33 OTHERS: DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 34 DATA WRANGLING MARKET SIZE, BY REGION, 2016–2023 (USD MILLION)
Table 35 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION)
Table 36 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION)
Table 37 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION)
Table 38 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION)
Table 39 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION)
Table 40 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION)
Table 41 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION)
Table 42 NORTH AMERICA: DATA WRANGLING MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION)
Table 43 EUROPE: DATA WRANGLING MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION)
Table 44 EUROPE: DATA WRANGLING MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION)
Table 45 EUROPE: DATA WRANGLING MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION)
Table 46 EUROPE: DATA WRANGLING MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION)
Table 47 EUROPE: DATA WRANGLING MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION)
Table 48 EUROPE: DATA WRANGLING MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION)
Table 49 EUROPE: DATA WRANGLING MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION)
Table 50 EUROPE: DATA WRANGLING MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION)
Table 51 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION)
Table 52 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION)
Table 53 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION)
Table 54 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION)
Table 55 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION)
Table 56 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION)
Table 57 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION)
Table 58 ASIA PACIFIC: DATA WRANGLING MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION)
Table 59 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION)
Table 60 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION)
Table 61 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION)
Table 62 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION)
Table 63 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION)
Table 64 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION)
Table 65 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION)
Table 66 MIDDLE EAST AND AFRICA: DATA WRANGLING MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION)
Table 67 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY COMPONENT, 2016–2023 (USD MILLION)
Table 68 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY SERVICE, 2016–2023 (USD MILLION)
Table 69 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY PROFESSIONAL SERVICE, 2016–2023 (USD MILLION)
Table 70 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY BUSINESS FUNCTION, 2016–2023 (USD MILLION)
Table 71 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2023 (USD MILLION)
Table 72 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY ORGANIZATION SIZE, 2016–2023 (USD MILLION)
Table 73 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY INDUSTRY VERTICAL, 2016–2023 (USD MILLION)
Table 74 LATIN AMERICA: DATA WRANGLING MARKET SIZE, BY COUNTRY, 2016–2023 (USD MILLION)
Table 75 NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS, 2014–2018
Table 76 PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS, 2014–2018
Table 77 BUSINESS EXPANSIONS, 2014–2018
Table 78 ACQUISITIONS, 201–2018
LIST OF FIGURES
Figure 1 DATA WRANGLING MARKET: MARKET SEGMENTATION
Figure 2 DATA WRANGLING MARKET, BY REGION AND COUNTRY
Figure 3 DATA WRANGLING MARKET: RESEARCH DESIGN
Figure 4 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION, AND REGION
Figure 5 DATA TRIANGULATION
Figure 6 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
Figure 7 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
Figure 8 DATA WRANGLING MARKET: ASSUMPTIONS
Figure 9 GLOBAL DATA WRANGLING MARKET IS EXPECTED TO WITNESS SIGNIFICANT GROWTH DURING THE FORECAST PERIOD
Figure 10 DATA WRANGLING MARKET SNAPSHOT, BY COMPONENT (2018 VS. 2023)
Figure 11 DATA WRANGLING MARKET SNAPSHOT, BY SERVICE (2018 VS. 2023)
Figure 12 DATA WRANGLING MARKET SNAPSHOT, BY BUSINESS FUNCTION (2018 VS. 2023)
Figure 13 DATA WRANGLING MARKET SNAPSHOT, BY DEPLOYMENT MODEL (2018 VS. 2023)
Figure 14 DATA WRANGLING MARKET SNAPSHOT, BY INDUSTRY VERTICAL (2018 VS 2023)
Figure 15 DATA WRANGLING MARKET GROWTH IS DRIVEN BY RAPID GROWTH IN DATA VOLUMES AND STRINGENT REGULATORY AND COMPLIANCE MANDATES
Figure 16 FINANCE, AND NORTH AMERICA ARE ESTIMATED TO HAVE THE LARGEST MARKET SHARES IN 2018
Figure 17 NORTH AMERICA IS ESTIMATED TO HAVE THE LARGEST MARKET SHARE IN 2018
Figure 18 ASIA PACIFIC IS EXPECTED TO WITNESS SIGNIFICANT GROWTH DURING THE FORECAST PERIOD
Figure 19 DATA WRANGLING MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
Figure 20 OPERATIONS BUSINESS FUNCTION IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 21 SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
Figure 22 MANAGED SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
Figure 23 CONSULTING SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
Figure 24 CLOUD DEPLOYMENT MODEL IS EXPECTED TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
Figure 25 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
Figure 26 HEALTHCARE AND LIFE SCIENCES INDUSTRY VERTICAL IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 27 ASIA PACIFIC IS EXPECTED TO HAVE THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 28 ASIA PACIFIC IS EXPECTED TO REGISTER THE HIGHEST GROWTH RATE IN THE DATA WRANGLING MARKET DURING THE FORECAST PERIOD
Figure 29 NORTH AMERICA: MARKET SNAPSHOT
Figure 30 ASIA PACIFIC: MARKET SNAPSHOT
Figure 31 KEY DEVELOPMENTS BY THE LEADING PLAYERS IN THE DATA WRANGLING MARKET, 2014–2018
Figure 32 IBM: COMPANY SNAPSHOT
Figure 33 IBM: SWOT ANALYSIS
Figure 34 ORACLE: COMPANY SNAPSHOT
Figure 35 ORACLE: SWOT ANALYSIS
Figure 36 SAS INSTITUTE: COMPANY SNAPSHOT
Figure 37 SAS INSTITUTE: SWOT ANALYSIS
Figure 38 TRIFACTA: SWOT ANALYSIS
Figure 39 DATAWATCH: COMPANY SNAPSHOT
Figure 40 DATAWATCH: SWOT ANALYSIS
Figure 41 TALEND: COMPANY SNAPSHOT
Figure 42 ALTERYX: COMPANY SNAPSHOT
Figure 43 TERADATA: COMPANY SNAPSHOT
Figure 1 DATA WRANGLING MARKET: MARKET SEGMENTATION
Figure 2 DATA WRANGLING MARKET, BY REGION AND COUNTRY
Figure 3 DATA WRANGLING MARKET: RESEARCH DESIGN
Figure 4 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION, AND REGION
Figure 5 DATA TRIANGULATION
Figure 6 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
Figure 7 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
Figure 8 DATA WRANGLING MARKET: ASSUMPTIONS
Figure 9 GLOBAL DATA WRANGLING MARKET IS EXPECTED TO WITNESS SIGNIFICANT GROWTH DURING THE FORECAST PERIOD
Figure 10 DATA WRANGLING MARKET SNAPSHOT, BY COMPONENT (2018 VS. 2023)
Figure 11 DATA WRANGLING MARKET SNAPSHOT, BY SERVICE (2018 VS. 2023)
Figure 12 DATA WRANGLING MARKET SNAPSHOT, BY BUSINESS FUNCTION (2018 VS. 2023)
Figure 13 DATA WRANGLING MARKET SNAPSHOT, BY DEPLOYMENT MODEL (2018 VS. 2023)
Figure 14 DATA WRANGLING MARKET SNAPSHOT, BY INDUSTRY VERTICAL (2018 VS 2023)
Figure 15 DATA WRANGLING MARKET GROWTH IS DRIVEN BY RAPID GROWTH IN DATA VOLUMES AND STRINGENT REGULATORY AND COMPLIANCE MANDATES
Figure 16 FINANCE, AND NORTH AMERICA ARE ESTIMATED TO HAVE THE LARGEST MARKET SHARES IN 2018
Figure 17 NORTH AMERICA IS ESTIMATED TO HAVE THE LARGEST MARKET SHARE IN 2018
Figure 18 ASIA PACIFIC IS EXPECTED TO WITNESS SIGNIFICANT GROWTH DURING THE FORECAST PERIOD
Figure 19 DATA WRANGLING MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
Figure 20 OPERATIONS BUSINESS FUNCTION IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 21 SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
Figure 22 MANAGED SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
Figure 23 CONSULTING SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
Figure 24 CLOUD DEPLOYMENT MODEL IS EXPECTED TO REGISTER A HIGHER CAGR DURING THE FORECAST PERIOD
Figure 25 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
Figure 26 HEALTHCARE AND LIFE SCIENCES INDUSTRY VERTICAL IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 27 ASIA PACIFIC IS EXPECTED TO HAVE THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 28 ASIA PACIFIC IS EXPECTED TO REGISTER THE HIGHEST GROWTH RATE IN THE DATA WRANGLING MARKET DURING THE FORECAST PERIOD
Figure 29 NORTH AMERICA: MARKET SNAPSHOT
Figure 30 ASIA PACIFIC: MARKET SNAPSHOT
Figure 31 KEY DEVELOPMENTS BY THE LEADING PLAYERS IN THE DATA WRANGLING MARKET, 2014–2018
Figure 32 IBM: COMPANY SNAPSHOT
Figure 33 IBM: SWOT ANALYSIS
Figure 34 ORACLE: COMPANY SNAPSHOT
Figure 35 ORACLE: SWOT ANALYSIS
Figure 36 SAS INSTITUTE: COMPANY SNAPSHOT
Figure 37 SAS INSTITUTE: SWOT ANALYSIS
Figure 38 TRIFACTA: SWOT ANALYSIS
Figure 39 DATAWATCH: COMPANY SNAPSHOT
Figure 40 DATAWATCH: SWOT ANALYSIS
Figure 41 TALEND: COMPANY SNAPSHOT
Figure 42 ALTERYX: COMPANY SNAPSHOT
Figure 43 TERADATA: COMPANY SNAPSHOT
