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レポート概要
| 本調査資料は、世界のデータラングリング市場について調査し、イントロダクション、調査手法、エグゼクティブサマリー、市場動向、構成要素別（ツール、サービス）分析、展開別（クラウドベース、オンプレミス）分析、企業別（中小企業、大企業）分析、産業別（IT・通信、小売、政府、金融、医療、その他）分析、地域別分析、競争状況、投資分析、市場機会/将来の見通しなどを徹底分析したものです。 ・イントロダクション ・調査手法 ・エグゼクティブサマリー ・市場動向 ・世界のデータラングリング市場規模：構成要素別（ツール、サービス） ・世界のデータラングリング市場規模：展開別（クラウドベース、オンプレミス） ・世界のデータラングリング市場規模：企業別（中小企業、大企業） ・世界のデータラングリング市場規模：産業別（IT・通信、小売、政府、金融、医療、その他） ・世界のデータラングリング市場規模：地域別 ・競争状況 ・投資分析 ・市場機会/将来の見通し |
The data wrangling market was valued at USD 1.31 billion in 2020 and is expected to reach USD 2.28 billion by 2026, at a CAGR of 9.65% over the forecast period 2021 – 2026.
– Rapid growth in the volume and veracity of data generated over various industry verticals has led to the adoption of advanced analytics algorithms to choose insights which could transform a business entity. Domo Inc estimated that 1.7MB of data will be created every second for every person on earth by 2020 end.
– Some of the prominent players in the industry are increasingly investing in order to further the technology which is expected to boost the market growth over the forecast period. For instance, in September 2019, Trifacta, the global leader in data wrangling, announced that it had raised USD 100 Million to Support Explosive Growth of Data Wrangling for AI and the Cloud.
– Also in September 2019, Mindtech Global Ltd, announced the availability of Mindtech Chameleon Simulator, creating synthetic vision datasets for training neural networks, and Mindtech Chameleon AI Tools, that provide end to end data management for deep learning systems. The Chameleon AI Tools simplify data wrangling tasks.
– Further, the explosion in Big Data adoption has also created huge sets of unstructured data. By using iterative and interactive data wrangling applications, it is possible to visualize distributions and inconsistencies as well as provide recommendations to improve the processes.
– The increase in the number of active users on social media web sites has resulted in the adoption of data wrangling tools by the social media web sites that help them structure the huge amounts of data generated by the users on these sites. For instance, by the end of the fourth quarter, 2018 Facebook had 2.320 billion active monthly facebook users.
Key Market Trends
BFSI is Expected to hold a Significant Share
– The banking and financial institutions have been increasingly using data wranglers that enables them to optimize processes and inform agents on how to best interact with customers online, reducing the time spent on data preparation by 15x. This enables such organizations to have a 360-degree view of their clients.
– The Royal Bank of Scotland that serves over 30 million customers worldwide, and ensures that they receive top-notch service have adopted big data particularly unstructured and semistructured data from online customer web chats and is making use of data wranglers to easily extract insights from unstructured data. Such adoption is expected to fuel the demand for the data wranglers over the forecast period.
– Due to the rising trend of digitization, the banking and the financial institutions have started digitizing the banking services through online portals which have allowed them to better serve their consumers. This has resulted in the generation of big data making it imperative for such institutions to have solutions like data wrangling that would allow them to systematically structure the data generated.
– For instance, JPMorgan Chase in its 2018 annual report stated that the company had hit average mobile customers mark of 33.3 million, a number that was by 11% with Total active digital customers being 49.3 million. This in itself is indicative of the fact of banking institutions could need solutions like Data Wrangling to manage the data systematically. This is expected to boost market growth over the forecast period.
– Also, the data generated by such institutions are so massive that if not managed properly there lies a risk of data being exposed leading to unwanted events of data breaches or leakage. This is propelling the institutions to have solutions like data wrangling that enables them to properly manage the data.
North America is Expected to Hold the largest Share
– North America is expected to dominate the data wrangling during the forecast period, as the region remains the single largest contributor in terms of the adoption of data wrangling tools and services.
– The region is expected to witness huge growth along with the application over Big Data due to the emergence of Industry 4.0 services. Moreover, Big Data is a huge phenomenon in the United States, and companies from a wide range of industries are benefiting from the collection, analysis, and manipulation of massive amounts of data from a variety of sources.
– AThe Big Data Research and Development initiative by the Obama administrative gave impetus to the United Sates Big Data growth. As a part of this program, six federal departments and agencies announced more than USD 200 million in commitments intended to improve the tools and techniques needed to access, organize, and glean discoveries from Big Data.
Competitive Landscape
The competetive rivalry in the data wrangling market is high owing to the presence of some key players such as Oracle Corporation, Teradata Corporation amongst others. Their ability to continually innovate their offerings has allowed them to gain a competitive advantage over others. Through research & development, strategic partnerships, and mergers & acquisition these players have been able to gain a stronger footprint in the market.
Reasons to Purchase this report:
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1 INTRODUCTION
1.1 Study Assumptions
1.2 Scope of the Study
2 RESEARCH METHODOLOGY
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Market Drivers
4.2.1 Growing Volumes Of Data
4.2.2 Advancement In Ai And Big Data Technologies
4.2.3 Growing Concern About Data Veracity
4.3 Market Restraints
4.3.1 Lack Of Awareness Of Data Wrangling Tools Among Enterprises
4.4 Industry Attractiveness – Porter’s Five Force Analysis
4.4.1 Threat of New Entrants
4.4.2 Bargaining Power of Buyers/Consumers
4.4.3 Bargaining Power of Suppliers
4.4.4 Threat of Substitute Products
4.4.5 Intensity of Competitive Rivalry
5 MARKET SEGMENTATION
5.1 By Component
5.1.1 Tools
5.1.2 Service
5.2 By Deployment
5.2.1 Cloud-Based
5.2.2 On-premises
5.3 By Enterprise Type
5.3.1 Small and Medium-Sized
5.3.2 Large
5.4 By End-user Industry
5.4.1 IT and Telecommunication
5.4.2 Retail
5.4.3 Government
5.4.4 BFSI
5.4.5 Healthcare
5.4.6 Other End-user Industries
5.5 Geography
5.5.1 North America
5.5.1.1 United States
5.5.1.2 Canada
5.5.2 Europe
5.5.2.1 United Kingdom
5.5.2.2 Germany
5.5.2.3 France
5.5.2.4 Rest of Europe
5.5.3 Asia-Pacific
5.5.3.1 China
5.5.3.2 Japan
5.5.3.3 Singapore
5.5.3.4 Rest of Asia-Pacific
5.5.4 Latin America
5.5.4.1 Mexico
5.5.4.2 Brazil
5.5.4.3 Rest of Latin America
5.5.5 Middle East and Africa
5.5.5.1 United Arab Emirates
5.5.5.2 Saudi Arabia
5.5.5.3 Rest of Middle-East & Africa
6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 Trifacta Software Inc.
6.1.2 TIBCO Software Inc.
6.1.3 Datawatch Corporation
6.1.4 Teradata Corporation
6.1.5 Oracle Corporation
6.1.6 SAS Institute Inc.
6.1.7 Talend SA
6.1.8 Alteryx Inc.
6.1.9 Paxata Inc.
6.1.10 Hortonworks Inc.
7 INVESTMENT ANALYSIS
8 MARKET OPPORTUNITIES AND FUTURE TRENDS