데이터 랭글링 시장 규모는 2023년 38억 달러로 평가되며, 예측 기간(2025-2032년) 동안 13.8%의 CAGR로 2024년 43억 2,000만 달러에서 2032년 121억 6,000만 달러로 성장할 것으로 예상됩니다.
2023년 10월 현재, 데이터 랭글링 산업은 데이터 손실 사고 감소, BYOD 트렌드, 워크플레이스 모빌리티에 힘입어 큰 폭의 성장세를 보이고 있습니다. 그러나 머신러닝과 인공지능(AI)의 발전과 함께 데이터의 급격한 증가와 복잡성으로 인해 IT 리더들은 데이터 관련성 및 툴의 효과적인 사용과 같은 중요한 운영상의 문제에 직면하고 있습니다. AI를 잘 활용하기 위해서는 정보가 의미 있고 맥락이 풍부하도록 보장하는 견고한 데이터 관리가 필요합니다. 조직은 강력한 데이터 관계를 구축하고, IT 아키텍처에 대한 종합적인 가시성을 제공하는 솔루션을 활용하여 분석을 효율화해야 하며, AI가 더욱 중요한 의사결정 역할을 수행함에 따라 효과적인 데이터 관리에 집중하는 것이 AI의 이점을 누리면서 기업의 목표를 달성하는 데 필수적일 것입니다.
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.