Data Discovery Market Synopsis

Data Discovery Market Size Was Valued at USD  12.84 Billion in 2023 and is Projected to Reach USD  49.98 Billion by 2032, Growing at a CAGR of 16.30% From 2024-2032.

Data discovery is defined as this process of identifying and assessing data within an organization to locate potentially useful patterns and information. It involves going out to acquire raw data, processing it, and presenting it in a graphical form or otherwise in order to incoporate it into the decision making process. Data discovery tools and techniques to collect and prepare data enable organizations to analyze patterns and unexpected features concerning the data and to utilize the results in decision making and business development.

• The Data Discovery Market has gained immense popularity in the recent past as organizations of different industries continue to collect large volumes of data and they require efficient ways to get insights from these collected data’s. Data discovery encompasses the identification, profiling, and analysis of data as a way of obtaining insight into his/her operations and hence be in a position to make sound decisions. The market is a rich assortment of tools and technologies that help the users to interact with the data, understand it better, and make wiser decisions.
•  Prominent trends and drivers affecting the Data Discovery Market are the increased generation of big data, the increasing use of analytics, and the cloud deployment model. Businesses are keen to capture and analyze data leading to the find for competitive advantage, increased effectiveness, and satisfaction of customers. Therefore, it is expected that more and more data discovery solutions that could provide attractive and easy-to-use interfaces and more self-service and more sophisticated analysis options could be requested. Such solutions often includes the use of machine learning and artificial intelligence in data analysis to discover latent patterns. 
•  The market is also introducing trend towards the ecosystem type tool, which include data discovery, business intelligence and data preparation. The connectedness of the software facilitates the concurrent data analysis of data from a specific field in a single application eliminating multi-tool usage and the subsequent hindrances in the process. In the same way, it has also been caused by the new trends for mobile and remote work that imply the need for the data discovery solutions which could be based on the cloud platforms and provide the necessary collaboration tools. With the growth of digitalization and usage of data analytics in organizations the Data Discovery market is expected to grow steadily in the future with development both in terms of technology as well as in features of discovering data to achieve analytics.
• The basic structure of the Data Discovery Market consists of a large variety of participants, which belong to the spheres of traditional technological companies, IT software providers, and new generation innovative companies or start-ups. At present, lots of program and data vendors in the market provide various data discovery tools and platforms which differentiate in terms of specific functionalities and performances. Some important members are players in BI & analytics domain like Tableau, Qlik, Microsoft and other firms that are focused on the emerging areas or are using technologies that are novel to the market.
•  Another trend recognized in the Data Discovery Market is the rising implementation of AI or more specifically, ML in the data discovery instruments. These technologies facilitate more detailed and in-depth conclusions and use of automation to search for the data and extract useful information. One of the trends is that organizations are paying more and more attention to data governance and security issues to make sure that data discovery processes are done (legal and valid) and the data itself is safe.
•  Moreover, there is increasing attention paid to improving users’ experience and ways for data discovery. Business stakeholders are continuing to introduce interfaces, NL, and SSS solutions to allow the users with different levels of IT literacy perform analysis by themselves. The advancement of hybrid and the multi-cloud is also a driving force within the market since organizations require solutions that can span across different data sources and be scalable. 
•  Altogether, the Data Discovery Market is dynamically developing due to the constantly improving technologies, the increasing amount of data, and the focus on using data as a critical tool for solving business problems. There are many recent developments and numerous vendors operating in the market space that has just the right mix of incumbents and new generation players, and so the market is expected to evolve and expand from where it currently is, providing firms with a variety of instruments to leverage their data.

Data Discovery Market Trend Analysis

Growing Demand for Self-Service Data Discovery Tools

• The development in the tools for self-service data discovery can be seen as a major upgrade in the data discovery market, which implies the proliferation of tools provided to independent users who do not require advanced assistance in their data analysis and visualization. Since organizations are demanding more and more analytics in support of broad business initiatives, the end-user has migrated from the traditional secure environments of corporation IT depts where data-based intelligence was delivered to them – to the tools that allow them to data-mine, analyze and report on their knowledge-base. This trend is attributed to the three primary reasons including the Beye mantra, that is, speed and flexibility in responding to business questions, the second reason being the data democratization, and the third reason being the data complexity that is escalating making the tool more fluid and accessible.
•  Some of the functionalities supported by self-service data discovery tools include; click-and-drag functionalities, sophisticated data analysis, and dynamic data visualization tools which in addition to improving the level of engagement among the users make it easier to make better decisions at different hierarchical levels in an organization. For this reason, these tools are gradually transforming into indispensable instruments to numerous companies that strive to reach success in the contemporary data-driven setting.

Expanding Demand for Data-Driven Decision-Making

• The market for data discovery has evolved due to increasing demand of analytics across business sectors, which are unable to manage vast amount of data that exist and thus need to utilize such data in order to make right decisions. Data discoverer solutions, which include technologies for visualizing the data, exploratory data analysis, and statistical analysis, allow for business to find meaningful systematic relationships for their data sets. Hence, the rising tendency towards the application of data-oriented strategies is attributed to the sophistication of data conditions and the demand for timely analysis in the context of active rivalry.
• As more organizations strive to improve on their decision making, the market for data discovery is rapidly growing as firms across industries begin to procure technologies and solutions that make working with data more natural. Further, it provides growth to the market by improving the data discovery solutions through the increased features of artificial intelligence and machine learning. Therefore, it can be stated that the market for data discovery will only be growing in the future due to the constantly increasing need for solutions that can turn raw data into truly useful business insights.

Data Discovery Market Segment Analysis:

Data Discovery Market Segmented based on  Offering,, Deployment  Application, and End User.

By Offering, Solutions segment is expected to dominate the market during the forecast period

• In the Data Discovery Market, the analysis by offering highlights two primary categories: products and services Company’s main products are solutions and services. Solutions tend to consist of software solutions enabling identification of data sources, integration and analysis of such data. These solutions frequently comprise complex analysis, data visualization, and data processing capabilities that allow more efficient analysis of organizational data.
• On the other hand services entail the professional and consulting services that are offered to implement data discovery activities. There are integration services, which assist in the effective collection of various data sources; consulting services to offer advice on best approaches of deploying data strategies and data discovery tools; and training services to ensure that users exploit the features of the data discovery solutions. Altogether these services encompass and cover various aspects of data discovery, from the provision of the tools necessary for data analysis to the support and advice essential for getting the most out of the specified tools.

By Application , Security & Risk Management segment held the largest share in 2023

• In the Data Discovery Market, the analysis by offering highlights two primary categories: companies, products, and solutions in the field of services. Solutions commonly refer to the software solutions that are aimed at enabling identification, integration and analysis of data from the multiple sources. Typically, such solutions encompass tools related to analytics and visualization of data and data management capabilities that allow organizations to analyze data and trends more effectively. Whereas, services imply the professional and consulting services that are rendered to back data discovery projects. This encompasses data integration services aimed at aiding in data consolidation and identification of data integration patterns, data consulting services that assist in determination of optimal utilization of data discovery tools, and training services oriented to enable different users familiarize with the possibilities of data discovery solutions. Collectively, a The Data Discovery Market segmented on the basis of application includes the following significant areas to fulfill the separate requirements of organizations. As for the domain of Security & Risk Management, data discovery tools are used to discover risks and compliance issues by searching huge amounts of information for suspicious activities or outliers. Asset Management on the other hand gains from data discovery where substantial information on asset usage, asset life span and more fundamentally how the whole asset can be maximized by integral analysis of data is ascertained. In Sales and Marketing Management, data discovery supports the discovery of market trends, customers’ behavior and campaign performance, thereby aiding decision-makers in creating suitable strategies for improving sales and marketing functionalities.
• Supply Chain Management is performed with such tools and methods as data discovery, focused on data that defines inventory, supplier, and logistics data, allowing for increasing efficiency and decreasing costs. Furthermore, there is the Others where different applications that deploy data discovery for BI, operations, and strategic directions in different industries and sectors are captured. This segmentation demonstrates the relative versatility of data discovery technologies in the solutions they can bring to an organization and the improvement of decision-making. ese offerings cover various aspects of the process of data discovery, starting with the provision of the tools that would enable data analysis and ending with the help and information that is needed to get the maximum out of them.

Data Discovery Market Regional Insights:

Asia Pacific is Expected to Dominate the Market Over the Forecast period

• The global Data Discovery market analysis also predicts Asia Pacific to be the extremely dominant region throughout the prediction horizon on account of several factors. The swift evolution of digital in several nationally and internationally renowned industries in Asia, specifically in the countries encompassing China, India, and Japan, is helping form a stringent demand for such a system as the businesses and organisations contending to extract such voluminous data in accentuating ways to help them make better decisions and excel competitively. The growing use of cloud computing, IoT, and big data BO in the region increases this demand, as organisations seek technologies that provide greater insight into their information.
• Also, as the number of SMEs in the Asia Pacific region increases their usage of data discovery tools, and as governments and organizations invest in related technology, the market will advance further. This trend is equally driven by the need to adopt analytical solution in various industries such as finance, healthcare, retail and manufacturing among others all of which are growing industries in the region. All in all, the technological trends, enlarged market potential as well as constantly growing data challenges define the Asia Pacific region as a leader in the Data Discovery Market.

Active Key Players in the Data Discovery Market

• IBM Corporation (USA)
• Microsoft (USA)
• Oracle (USA)
• Salesforce, Inc. (USA)
• SAS Institute Inc. (USA)
• Google (USA)
• Amazon Web Services, Inc. (USA)
• OpenText (Canada)
• MicroStrategy (USA)
• Cloudera, Inc. (USA), Other Active Players

Key Industry Developments in the Data Discovery Market

• In May 2024, Microsoft announced enhancements to its Power BI platform, integrating new AI-powered features for data storytelling. This includes a “Storytelling Assistant” that suggests visuals and insights, and a “Live Q&A” feature allowing users to interact with data using natural language queries.
• In March 2024, Amazon Web Services (AWS) announced tighter integration between its data discovery service, Amazon QuickSight, and its data warehousing solution, Amazon Redshift. This integration streamlines the process of querying and analyzing data stored in Redshift directly from the QuickSight interface.

Chapter 1: Introduction
 1.1 Scope and Coverage

Chapter 2:Executive Summary

Chapter 3: Market Landscape
 3.1 Market Dynamics
  3.1.1 Drivers
  3.1.2 Restraints
  3.1.3 Opportunities
  3.1.4 Challenges
 3.2 Market Trend Analysis
 3.3 PESTLE Analysis
 3.4 Porter's Five Forces Analysis
 3.5 Industry Value Chain Analysis
 3.6 Ecosystem
 3.7 Regulatory Landscape
 3.8 Price Trend Analysis
 3.9 Patent Analysis
 3.10 Technology Evolution
 3.11 Investment Pockets
 3.12 Import-Export Analysis

Chapter 4: Data Discovery Market by Offering
 4.1 Data Discovery Market Snapshot and Growth Engine
 4.2 Data Discovery Market Overview
 4.3 Solutions
  4.3.1 Introduction and Market Overview
  4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.3.3 Key Market Trends, Growth Factors and Opportunities
  4.3.4 Solutions: Geographic Segmentation Analysis
 4.4 Services
  4.4.1 Introduction and Market Overview
  4.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.4.3 Key Market Trends, Growth Factors and Opportunities
  4.4.4 Services: Geographic Segmentation Analysis

Chapter 5: Data Discovery Market by Deployment
 5.1 Data Discovery Market Snapshot and Growth Engine
 5.2 Data Discovery Market Overview
 5.3 Cloud
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Cloud: Geographic Segmentation Analysis
 5.4 On-premises
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 On-premises: Geographic Segmentation Analysis

Chapter 6: Data Discovery Market by Application
 6.1 Data Discovery Market Snapshot and Growth Engine
 6.2 Data Discovery Market Overview
 6.3 Security & Risk Management
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 Security & Risk Management: Geographic Segmentation Analysis
 6.4 Asset Management
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 Asset Management: Geographic Segmentation Analysis
 6.5 Sales & Marketing Management
  6.5.1 Introduction and Market Overview
  6.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.5.3 Key Market Trends, Growth Factors and Opportunities
  6.5.4 Sales & Marketing Management: Geographic Segmentation Analysis
 6.6 Supply Chain Management
  6.6.1 Introduction and Market Overview
  6.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.6.3 Key Market Trends, Growth Factors and Opportunities
  6.6.4 Supply Chain Management: Geographic Segmentation Analysis
 6.7 Others
  6.7.1 Introduction and Market Overview
  6.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.7.3 Key Market Trends, Growth Factors and Opportunities
  6.7.4 Others: Geographic Segmentation Analysis

Chapter 7: Data Discovery Market by End-User
 7.1 Data Discovery Market Snapshot and Growth Engine
 7.2 Data Discovery Market Overview
 7.3 IT & Telecommunication
  7.3.1 Introduction and Market Overview
  7.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.3.3 Key Market Trends, Growth Factors and Opportunities
  7.3.4 IT & Telecommunication: Geographic Segmentation Analysis
 7.4 Government
  7.4.1 Introduction and Market Overview
  7.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.4.3 Key Market Trends, Growth Factors and Opportunities
  7.4.4 Government: Geographic Segmentation Analysis
 7.5 BFSI
  7.5.1 Introduction and Market Overview
  7.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.5.3 Key Market Trends, Growth Factors and Opportunities
  7.5.4 BFSI: Geographic Segmentation Analysis
 7.6 Retail & E-commerce
  7.6.1 Introduction and Market Overview
  7.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.6.3 Key Market Trends, Growth Factors and Opportunities
  7.6.4 Retail & E-commerce: Geographic Segmentation Analysis
 7.7 Media & Entertainment
  7.7.1 Introduction and Market Overview
  7.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.7.3 Key Market Trends, Growth Factors and Opportunities
  7.7.4 Media & Entertainment: Geographic Segmentation Analysis
 7.8 Healthcare & Lifesciences
  7.8.1 Introduction and Market Overview
  7.8.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.8.3 Key Market Trends, Growth Factors and Opportunities
  7.8.4 Healthcare & Lifesciences: Geographic Segmentation Analysis
 7.9 Transportation & Logistics
  7.9.1 Introduction and Market Overview
  7.9.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.9.3 Key Market Trends, Growth Factors and Opportunities
  7.9.4 Transportation & Logistics: Geographic Segmentation Analysis
 7.10 Others
  7.10.1 Introduction and Market Overview
  7.10.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.10.3 Key Market Trends, Growth Factors and Opportunities
  7.10.4 Others: Geographic Segmentation Analysis

Chapter 8: Company Profiles and Competitive Analysis
 8.1 Competitive Landscape
  8.1.1 Competitive Benchmarking
  8.1.2 Data Discovery Market Share by Manufacturer (2023)
  8.1.3 Industry BCG Matrix
  8.1.4 Heat Map Analysis
  8.1.5 Mergers and Acquisitions
  
 8.2 IBM CORPORATION (USA)
  8.2.1 Company Overview
  8.2.2 Key Executives
  8.2.3 Company Snapshot
  8.2.4 Role of the Company in the Market
  8.2.5 Sustainability and Social Responsibility
  8.2.6 Operating Business Segments
  8.2.7 Product Portfolio
  8.2.8 Business Performance
  8.2.9 Key Strategic Moves and Recent Developments
  8.2.10 SWOT Analysis
 8.3 MICROSOFT (USA)
 8.4 ORACLE (USA)
 8.5 SALESFORCE INC (USA)
 8.6 SAS INSTITUTE INC (USA)
 8.7 GOOGLE (USA)
 8.8 AMAZON WEB SERVICES INC (USA)
 8.9 OPENTEXT (CANADA)
 8.10 MICROSTRATEGY (USA)
 8.11 CLOUDERA INC (USA)
 8.12 OTHER ACTIVE PLAYERS

Chapter 9: Global Data Discovery Market By Region
 9.1 Overview
 9.2. North America Data Discovery Market
  9.2.1 Key Market Trends, Growth Factors and Opportunities
  9.2.2 Top Key Companies
  9.2.3 Historic and Forecasted Market Size by Segments
  9.2.4 Historic and Forecasted Market Size By Offering
   9.2.4.1 Solutions
   9.2.4.2 Services
  9.2.5 Historic and Forecasted Market Size By Deployment
   9.2.5.1 Cloud
   9.2.5.2 On-premises
  9.2.6 Historic and Forecasted Market Size By Application
   9.2.6.1 Security & Risk Management
   9.2.6.2 Asset Management
   9.2.6.3 Sales & Marketing Management
   9.2.6.4 Supply Chain Management
   9.2.6.5 Others
  9.2.7 Historic and Forecasted Market Size By End-User
   9.2.7.1 IT & Telecommunication
   9.2.7.2 Government
   9.2.7.3 BFSI
   9.2.7.4 Retail & E-commerce
   9.2.7.5 Media & Entertainment
   9.2.7.6 Healthcare & Lifesciences
   9.2.7.7 Transportation & Logistics
   9.2.7.8 Others
  9.2.8 Historic and Forecast Market Size by Country
   9.2.8.1 US
   9.2.8.2 Canada
   9.2.8.3 Mexico
 9.3. Eastern Europe Data Discovery Market
  9.3.1 Key Market Trends, Growth Factors and Opportunities
  9.3.2 Top Key Companies
  9.3.3 Historic and Forecasted Market Size by Segments
  9.3.4 Historic and Forecasted Market Size By Offering
   9.3.4.1 Solutions
   9.3.4.2 Services
  9.3.5 Historic and Forecasted Market Size By Deployment
   9.3.5.1 Cloud
   9.3.5.2 On-premises
  9.3.6 Historic and Forecasted Market Size By Application
   9.3.6.1 Security & Risk Management
   9.3.6.2 Asset Management
   9.3.6.3 Sales & Marketing Management
   9.3.6.4 Supply Chain Management
   9.3.6.5 Others
  9.3.7 Historic and Forecasted Market Size By End-User
   9.3.7.1 IT & Telecommunication
   9.3.7.2 Government
   9.3.7.3 BFSI
   9.3.7.4 Retail & E-commerce
   9.3.7.5 Media & Entertainment
   9.3.7.6 Healthcare & Lifesciences
   9.3.7.7 Transportation & Logistics
   9.3.7.8 Others
  9.3.8 Historic and Forecast Market Size by Country
   9.3.8.1 Bulgaria
   9.3.8.2 The Czech Republic
   9.3.8.3 Hungary
   9.3.8.4 Poland
   9.3.8.5 Romania
   9.3.8.6 Rest of Eastern Europe
 9.4. Western Europe Data Discovery Market
  9.4.1 Key Market Trends, Growth Factors and Opportunities
  9.4.2 Top Key Companies
  9.4.3 Historic and Forecasted Market Size by Segments
  9.4.4 Historic and Forecasted Market Size By Offering
   9.4.4.1 Solutions
   9.4.4.2 Services
  9.4.5 Historic and Forecasted Market Size By Deployment
   9.4.5.1 Cloud
   9.4.5.2 On-premises
  9.4.6 Historic and Forecasted Market Size By Application
   9.4.6.1 Security & Risk Management
   9.4.6.2 Asset Management
   9.4.6.3 Sales & Marketing Management
   9.4.6.4 Supply Chain Management
   9.4.6.5 Others
  9.4.7 Historic and Forecasted Market Size By End-User
   9.4.7.1 IT & Telecommunication
   9.4.7.2 Government
   9.4.7.3 BFSI
   9.4.7.4 Retail & E-commerce
   9.4.7.5 Media & Entertainment
   9.4.7.6 Healthcare & Lifesciences
   9.4.7.7 Transportation & Logistics
   9.4.7.8 Others
  9.4.8 Historic and Forecast Market Size by Country
   9.4.8.1 Germany
   9.4.8.2 UK
   9.4.8.3 France
   9.4.8.4 Netherlands
   9.4.8.5 Italy
   9.4.8.6 Russia
   9.4.8.7 Spain
   9.4.8.8 Rest of Western Europe
 9.5. Asia Pacific Data Discovery Market
  9.5.1 Key Market Trends, Growth Factors and Opportunities
  9.5.2 Top Key Companies
  9.5.3 Historic and Forecasted Market Size by Segments
  9.5.4 Historic and Forecasted Market Size By Offering
   9.5.4.1 Solutions
   9.5.4.2 Services
  9.5.5 Historic and Forecasted Market Size By Deployment
   9.5.5.1 Cloud
   9.5.5.2 On-premises
  9.5.6 Historic and Forecasted Market Size By Application
   9.5.6.1 Security & Risk Management
   9.5.6.2 Asset Management
   9.5.6.3 Sales & Marketing Management
   9.5.6.4 Supply Chain Management
   9.5.6.5 Others
  9.5.7 Historic and Forecasted Market Size By End-User
   9.5.7.1 IT & Telecommunication
   9.5.7.2 Government
   9.5.7.3 BFSI
   9.5.7.4 Retail & E-commerce
   9.5.7.5 Media & Entertainment
   9.5.7.6 Healthcare & Lifesciences
   9.5.7.7 Transportation & Logistics
   9.5.7.8 Others
  9.5.8 Historic and Forecast Market Size by Country
   9.5.8.1 China
   9.5.8.2 India
   9.5.8.3 Japan
   9.5.8.4 South Korea
   9.5.8.5 Malaysia
   9.5.8.6 Thailand
   9.5.8.7 Vietnam
   9.5.8.8 The Philippines
   9.5.8.9 Australia
   9.5.8.10 New Zealand
   9.5.8.11 Rest of APAC
 9.6. Middle East & Africa Data Discovery Market
  9.6.1 Key Market Trends, Growth Factors and Opportunities
  9.6.2 Top Key Companies
  9.6.3 Historic and Forecasted Market Size by Segments
  9.6.4 Historic and Forecasted Market Size By Offering
   9.6.4.1 Solutions
   9.6.4.2 Services
  9.6.5 Historic and Forecasted Market Size By Deployment
   9.6.5.1 Cloud
   9.6.5.2 On-premises
  9.6.6 Historic and Forecasted Market Size By Application
   9.6.6.1 Security & Risk Management
   9.6.6.2 Asset Management
   9.6.6.3 Sales & Marketing Management
   9.6.6.4 Supply Chain Management
   9.6.6.5 Others
  9.6.7 Historic and Forecasted Market Size By End-User
   9.6.7.1 IT & Telecommunication
   9.6.7.2 Government
   9.6.7.3 BFSI
   9.6.7.4 Retail & E-commerce
   9.6.7.5 Media & Entertainment
   9.6.7.6 Healthcare & Lifesciences
   9.6.7.7 Transportation & Logistics
   9.6.7.8 Others
  9.6.8 Historic and Forecast Market Size by Country
   9.6.8.1 Turkey
   9.6.8.2 Bahrain
   9.6.8.3 Kuwait
   9.6.8.4 Saudi Arabia
   9.6.8.5 Qatar
   9.6.8.6 UAE
   9.6.8.7 Israel
   9.6.8.8 South Africa
 9.7. South America Data Discovery Market
  9.7.1 Key Market Trends, Growth Factors and Opportunities
  9.7.2 Top Key Companies
  9.7.3 Historic and Forecasted Market Size by Segments
  9.7.4 Historic and Forecasted Market Size By Offering
   9.7.4.1 Solutions
   9.7.4.2 Services
  9.7.5 Historic and Forecasted Market Size By Deployment
   9.7.5.1 Cloud
   9.7.5.2 On-premises
  9.7.6 Historic and Forecasted Market Size By Application
   9.7.6.1 Security & Risk Management
   9.7.6.2 Asset Management
   9.7.6.3 Sales & Marketing Management
   9.7.6.4 Supply Chain Management
   9.7.6.5 Others
  9.7.7 Historic and Forecasted Market Size By End-User
   9.7.7.1 IT & Telecommunication
   9.7.7.2 Government
   9.7.7.3 BFSI
   9.7.7.4 Retail & E-commerce
   9.7.7.5 Media & Entertainment
   9.7.7.6 Healthcare & Lifesciences
   9.7.7.7 Transportation & Logistics
   9.7.7.8 Others
  9.7.8 Historic and Forecast Market Size by Country
   9.7.8.1 Brazil
   9.7.8.2 Argentina
   9.7.8.3 Rest of SA

Chapter 10 Analyst Viewpoint and Conclusion
10.1 Recommendations and Concluding Analysis
10.2 Potential Market Strategies

Chapter 11 Research Methodology
11.1 Research Process
11.2 Primary Research
11.3 Secondary Research