"Smart Strategies, Giving Speed to your Growth Trajectory"
Data extraction encompasses various technologies, tools, and services designed to extract data from diverse sources, such as websites, documents, databases, emails, social media platforms, and others. Some common techniques for data extraction include web scraping, optical character recognition, screen scraping, and data integration from different databases. Businesses across various sectors, such as finance, marketing, healthcare, retail, and logistics, heavily rely on data extraction solutions to streamline their operations, gain a competitive edge, and enhance their understanding of customer behaviour and market trends. For instance,
Additionally, with the exponential growth of data and the importance of data-driven decision-making, the data extraction market is expected to continue expanding.
The COVID-19 pandemic profoundly impacted the data extraction market, with significant shifts in demand, usage patterns, and business priorities. As the world grappled with the challenges of the pandemic, businesses rapidly adapted to remote work and digital operations. This increased demand for data extraction solutions as organizations sought to automate processes gained valuable insights from many digital sources.
Furthermore, the accelerated adoption of online platforms and e-commerce during the pandemic further fuelled the need for data extraction technologies to gather information from websites, social media, and other digital channels. Certain industries, such as healthcare, pharmaceuticals, and logistics, experienced a surge in demand for specific data extraction tools to address pandemic-related challenges.
By Deployment | By Enterprise Type | By End-user | By Region |
|
|
|
|
The data extraction market is segmented into BFSI, retail, medical & healthcare, IT & telecom, and others. BFSI holds the largest market share and is projected to grow at the highest CAGR during the forecast period owing to the increasing adoption of data extraction in analysing vast amounts of financial data and customer learning records. Moreover, this industry relies heavily on data entry and extraction to gain valuable insights for financial institutions.
The report will cover the following key insights:
To gain extensive insights into the market, Request for Customization
The global data extraction market is distributed into five regions: North America, South America, Europe, the Middle East & Africa, and Asia Pacific. North America dominates the global data extraction market due to the growing demand for digital technologies such as Artificial Intelligence (AI) and machine learning. The region's significant presence of data extraction solution vendors also plays a crucial role in driving the market growth. For instance,
Asia Pacific is expected to experience substantial growth in the data extraction market, owing to the rapid expansion of e-commerce retailers in the region. Additionally, numerous small and medium companies' increasing adoption of cloud and mobile technologies is projected to fuel the market's growth in the coming years. These factors create a favourable environment for adopting regional data extraction solutions.
The distribution of the global data extraction market by region of origin is as follows:
The key players in this market include UiPath, Newgen, Sesame software, Datahut, Oracle Corporation, Extract systems, Tellimer Group Astra software, SmartPanda, Cloudera, Inc., KNIME AG, Hubdoc Inc., WebHarvy, Mozenda Inc., Astera Software, Altair Engineering Inc., IBM Corporation, Kofax Inc., Microsoft Corporation, and others.
US +1 833 909 2966 ( Toll Free )