Market Analysis 

Data discovery is the process of navigating or applying advanced analytics to data to detect informative patterns that would not have been obvious otherwise. It involves the collection and evaluation of data from various sources and is often used to understand trends and patterns in the data. Data discovery processes can be used in data integration, data analysis, and data security to gain insights from data sets. Common tools used in data discovery include data search, guided search, location search, and data visualization. Data discovery can provide valuable insights into data sets by helping to identify data characteristics, outliers, and patterns that would not have been obvious otherwise.

The global data discovery market growth to grow from USD 112 Billion by 2030, at a Annual Growth Rate (CAGR) of 4.5% during the forecast period (2022-2030)

Data discovery is the methodology to gain meaningful business insights by collecting and evaluating raw from various data sources. This usually is used to identify the trends and patterns in an organization. Data discovery involves collecting, cleansing, or organizing the data in a predefined data structure and sharing it throughout the organization for further analysis. The data discovery applications include security & risk management, sales & marketing management, asset management, supply chain management, and others.

The rising need to access sensitive information and maximize business productivity and compliance with data protection standards contribute to the data discovery market growth. However, this market growth is hampered by the rise in incidents of data breaches across the globe. The integration of business operations with data-driven insight creates support unities that can further boost the growth of the data discovery market.

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Market Segmentation 

The global data discovery market has been segmented based on component, deployment, organization size, functionality, application, and region.

By component, the global data discovery market has been divided into solutions and services. The solution segment is further bifurcated into the process, preserve, present, identify, review, analyze, and collect & produce. Additionally, the services segment is classified into professional and managed services.

Based on the deployment, the global data discovery market is categorized into on-premises and on-cloud.

By organization size, the global data discovery market has been divided into small & medium enterprises and large enterprises.

Based on functionality, the global data discovery market is segmented into visual data discovery, augmented data discovery, search-based data discovery, and self-service data preparation.

By application, the global data discovery market is segmented into security & risk management, sales & marketing management, asset management, supply chain management, and others.

The global data discovery market has been analyzed for five regions—North America, Europe, Asia-Pacific, the Middle East & Africa, and South America.

Regional Analysis 

The global data discovery market is projected to register a robust CAGR over the forecast period. The geographic analysis of the global data discovery market has been conducted for North America, Europe, Asia-Pacific, the Middle East & Africa, and South America.

North America is expected to be the dominating region in terms of the adoption of data discovery solutions & services. The North American market has been segmented into the US, Canada, and Mexico. The US is expected to lead the country-level market, while Canada is projected to be the fastest-growing segment during the forecast period. The US market is expected to report the highest market share, owing to the factors such as demand for advanced data discovery solutions such as augmented and visual data discovery that utilizes artificial intelligence and big data analytics. 

Key Players 

The key players in the global data discovery market are IBM Corporation (US), Microsoft (US), Oracle (US), Salesforce.com, inc. (US), SAS Institute Inc. (US), Google (US), Amazon Web Services, Inc. (US), Micro Focus (UK), Thales (US), Cloudera, Inc. (US), Alteryx, Inc. (US), PKWARE, Inc. (US), Spirion, LLC. (US), Egnyte, Inc. (US), and Netwrix Corporation (US).

Industry News:

In November 2020, PKWARE acquired Data guise, a company with innovative technology for businesses to discover and protect personal data stored across diverse IT systems and environments. The acquisition will expand PKWARE’s global footprint as it continues the operations of Data guise’s existing offices in the US, India, Europe, and Canada.

In November 2020, Exonar partnered with Roc Technologies to assist organizations in uncovering and understanding the data landscape to add value to the life sciences, critical infrastructure, and higher education sectors.

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Table of Contents

1 Executive Summary

2 Scope of The Report

2.1 Market Definition

2.2 Scope of The Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Market Structure

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