Content Analytics Discovery and Cognitive Software Market

Q: What is the Market size in 2023?

The market is valued at US$ 4.8 billion in 2023. Read Report

Q: What will be the market value in 2033?

The market shall reach US$ 21.2 billion in 2033. Read Report

Q: What opportunities await the market players?

Integration of IoT and AI to boost the market growth. Read Report

Content Analytics Discovery and Cognitive Software Market Outlook (2023 to 2033)

The global content analytics discovery and cognitive software market is anticipated to reach a valuation of US$ 4,844.4 million in 2023. The expanding usage of AI in various applications is projected to be the market's primary growth driver.

Overall, demand for content analytics discovery and cognitive software is projected to grow at a robust CAGR of 15.9% between 2023 and 2033, totaling around US$ 21,248 million by the end of 2033.

Content analytics is a collection of search and reporting technologies capable of providing the same levels of business intelligence and strategic value for unstructured data as structured data.

Data Points	Key Statistics
Content Analytics Discovery and Cognitive Software Market Size (2023)	US$ 4,844.4 million
Content Analytics Discovery and Cognitive Software Market Revenue Forecast (2033)	US$ 21,248 million
Content Analytics Discovery and Cognitive Software Market Growth Rate (2023 to 2033)	15.9% CAGR
North America Market Share	36.3%

Unstructured content analytics includes social media monitoring, reputation monitoring, and sentiment analysis. The textual analytics software uses natural language queries, trends analysis, predictive analytics, and contextual discovery to demonstrate trends and patterns in the company's unstructured data.

Cognitive systems utilize large amounts of structured and unstructured data, content analytics tools, and several infrastructure technologies to answer questions, provide recommendations, and provide guidelines. Furthermore, it aids in the hypothesis and formulation of possible answers and updates itself through learning algorithms based on its failures and mistakes.

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Which Factors Drive the Growth of the Content Analytics Discovery and Cognitive Software Market?

Increasing the use of Artificial Intelligence across a wide range of applications to widen the uptake

The steadily rising use of artificial intelligence across a wide range of applications is one of the key trends driving global demand for cognitive systems, content analytics, and discovery software.

Significant advancements in data processing technologies, as well as an enhancement in large, diverse, and highly complex data sets, as well as vast evolutions in the field of machine learning are culminating in a vast increase in the window of opportunity for artificial intelligence, which has emerged as one of the major factors of the global cognitive systems, content analytics, and discovery software market.

Advancements in natural language processing are growing rapidly for cognitive systems, content analytics, and discovery software. Some of the most prominent innovations in natural language processing encompass voice-driven interface development platforms, social media analytics, and conversational computing with semantic learning. The number of applications for these technologies is driving demand for cognitive systems, content analytics, and discovery software.

Which Factors restrain the Growth of the Content Analytics Discovery and Cognitive Software Market?

These technologies are still in their infancy, and promoting their significance is currently a major challenge for market participants.

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How Will Growth Unfold in the North America Content Analytics Discovery and Cognitive Software Market?

The major factors attributed to North America's stronghold on the global content analytics discovery and cognitive software market are the early adoption of this technology and the growing prevalence of unstructured data. North America accounts for a market share of 36.3% of the global content analytics discovery and cognitive software market.

Which Factors are pushing the Content Analytics Discovery and Cognitive Software Devices in the Asia Pacific?

The Asia Pacific has a smaller share of the global content analytics discovery and cognitive software market. Still, it is expected to be one of the leading regional markets in determining its growth trajectory shortly.

In the following decade, the Asia Pacific market will be influenced by a spectacular rise in digitization across the industrial, government, and public sectors and a substantial increase in highly advanced IT infrastructure in the enterprise sector in countries such as India and China. The Asia Pacific market is projected to be one of the global vendors' most promising investment opportunities, with a promising CAGR of 14.8% from 2022 to 2032.

How Will Growth Unfold in the European Content Analytics Discovery and Cognitive Software Market?

Historically, Europe had the second-largest share of the global market in revenue. The European market is predicted to remain on a healthy growth trajectory over the forthcoming years, driven by a substantial increase in areas of application of artificial intelligence and high demand for automation throughout the industrial sector. Europe accounts for 21.4% of the global content analytics discovery and cognitive software market.

Category-wise Analysis

Which Segments Dominate the Global Content Analytics Discovery and Cognitive Software Market?

Content analytics software is widely used in finance, banking, insurance, and utilities. The following factors are responsible for this increased adoption:

In the BFSI sector, there is a rapidly increasing necessity for real-time response requirements in banking, a progressively stringent regulatory environment, and the need to mitigate risk, a demanding customer profile, growing competitive pressure, exploding data volumes, and increasing complexity.

The Start-up Ecosystem: How key Players are opening Frontiers for Future Growth?

With the rapid deployment of AI and other digital technologies, industries worldwide invest copiously in furthering their business capabilities by establishing extensive content analytics discovery and cognitive software empires. This has allowed several new entrants to make it big in the virtual space. Some prominent start-ups in this domain are as follows:

Cognitiva: Founded in 2015, Cognitiva provides cognitive computing-based business process management software solutions. The company offers software development consulting services focusing on Python, machine learning, AI, and SAP technologies. Its solutions include cognitive digital assistants, cognitive analytics, campaign managers, and predictive models
UiPath: Provider of cloud-based software for robotic process automation, UiPath provides a solution to automatically log in to a website, extract data spanning multiple web pages, and filter and transform it into the format of user choice before integrating it into another application or web service. In August 2022, the company expanded its integration solutions with Box, a prominent Content Cloud platform. The integration now adds Box Sign to make it easy for users and teams to automate the content collection, routing, distribution, and document e-signature processes
WorkFusion is yet another player in the field of cognitive analytics, established in 2010. The company announced a strategic partnership with Google Cloud in May 2022. Through this collaboration, the service provider aims to integrate its WorkFusion Digital Workers platform and make it accessible via the Google Cloud Marketplace.

Who are the Leading Players in the Content Analytics Discovery and Cognitive Software Market?

Some of the leading content analytics discovery and cognitive software service providers include IBM Inc., Hewlett-Packard Company, Baidu Inc., Elastic GmbH, Facebook Inc., Google Inc., LucidWorks Inc., Microsoft Corporation, and Wipro Limited.

These key content analytics discovery and cognitive software providers are adopting various strategies, such as new product launches and approvals, partnerships, collaborations, acquisitions, mergers, etc., to increase their sales and gain a competitive edge in the market.

In April 2020, IBM Watson Explorer V12 was released, bringing artificial intelligence to enterprise data. It is a cognitive exploration and content analytics offering that allows users in data-driven organizations to find and understand the information in context from across the enterprise.
In June 2021, Hewlett Packard Enterprise acquired Determined AI to accelerate artificial intelligence innovation through fast and simple machine learning modeling.
A November 2019 investment was made in Cogniphi Technologies, an AI and cognitive technology business from India, by UST Global, a U.S.-based company. Thanks to this important investment, the Artificial Intelligence and Vision (AIVI) platform from Cogniphi will enhance research and development.
In October 2019, Cerner and Amazon Web Services (AWS) launched "Project Apollo," a new platform for cognitive health. Based on AWS architecture, this platform offers prescriptive insights and enhances usability for patient care.
2019 August - To support big data, cognitive computing, and artificial intelligence (AI) researchers worldwide, the Global Association for Research Methods and Data Science (GRMDS) established its new ecosystem platform. The new ecosystem platform, which combines a computer platform, a community of data scientists, and a data portal, intends to assist academics in finding solutions to data science-related issues.

Report Scope

Report Attribute	Details
Growth Rate	CAGR of 15.9% from 2023 to 2033
Market Value in 2023	US$ 4,844.4 million
Market Value in 2033	US$ 21,248 million
Base Year for Estimation	2022
Historical Data	2018 to 2022
Forecast Period	2023 to 2033
Quantitative Units	Revenue in US$ million and CAGR from 2023 to 2033
Report Coverage	Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis
Segments Covered	Product Type End User Region
Regions Covered	North America Latin America Europe Asia Pacific Middle East and Africa
Key Countries Profiled	United States of America Canada Brazil Mexico Germany United Kingdom France Spain Italy China Japan South Korea GCC Countries South Africa Israel
Key Companies Profiled	IBM Hewlett-Packard Enterprises Baidu Inc. Elastic GmbH Facebook Google LLC Oracle Corporation SAP SE Symantec Corporation Adobe Systems Inc. Microsoft Corporation Wipro Ltd. LucidWorks Inc.
Customization & Pricing	Available upon Request

Key Segments Profiled in the Content Analytics Discovery and Cognitive Software Market Report

By Product Type:

Test Software (in Multiple Languages)
Rich Media Tagging (Audio, Video & Image)

By End User:

Government & Public Services
Finance, Banking & Insurance Sector
Utilities
Telecommunication Operators
IT & High-Tech ECM Providers
Healthcare & Pharmaceutical Sector
Media & Web Publishing
Retail
Transport
Real Estate

By Region:

North America
Latin America
Europe
Asia Pacific
Middle East and Africa

Frequently Asked Questions

What is the Market size in 2023?

The market is valued at US$ 4.8 billion in 2023.

Which are the key market players?

IBM, Hewlett-Packard Enterprises, and Baidu Inc. are key market players.

What will be the market value in 2033?

The market shall reach US$ 21.2 billion in 2033.

What is the growth forecast for the Market?

The market is forecast to register a CAGR of 15.9% through 2033.

What opportunities await the market players?

Integration of IoT and AI to boost the market growth.

Table of Content

1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Product Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Product Type, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Product Type, 2023 to 2033
5.3.1. Test Software (in Multiple Languages)
5.3.2. Rich Media Tagging (Audio, Video & Image)
5.4. Y-o-Y Growth Trend Analysis By Product Type, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Product Type, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By End User, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033
6.3.1. Government & Public Services
6.3.2. Finance, Banking & Insurance Sector
6.3.3. Utilities
6.3.4. Telecommunication Operators
6.3.5. IT & High-Tech ECM Providers
6.3.6. Healthcare & Pharmaceutical Sector
6.3.7. Media & Web Publishing
6.3.8. Retail
6.3.9. Transport
6.3.10. Real Estate
6.4. Y-o-Y Growth Trend Analysis By End User, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By End User, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
7.1. Introduction
7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
7.3.1. North America
7.3.2. Latin America
7.3.3. Western Europe
7.3.4. Eastern Europe
7.3.5. South Asia and Pacific
7.3.6. East Asia
7.3.7. Middle East and Africa
7.4. Market Attractiveness Analysis By Region
8. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
8.2.1. By Country
8.2.1.1. USA
8.2.1.2. Canada
8.2.2. By Product Type
8.2.3. By End User
8.3. Market Attractiveness Analysis
8.3.1. By Country
8.3.2. By Product Type
8.3.3. By End User
8.4. Key Takeaways
9. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. Brazil
9.2.1.2. Mexico
9.2.1.3. Rest of Latin America
9.2.2. By Product Type
9.2.3. By End User
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Product Type
9.3.3. By End User
9.4. Key Takeaways
10. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Germany
10.2.1.2. UK
10.2.1.3. France
10.2.1.4. Spain
10.2.1.5. Italy
10.2.1.6. Rest of Western Europe
10.2.2. By Product Type
10.2.3. By End User
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Product Type
10.3.3. By End User
10.4. Key Takeaways
11. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Poland
11.2.1.2. Russia
11.2.1.3. Czech Republic
11.2.1.4. Romania
11.2.1.5. Rest of Eastern Europe
11.2.2. By Product Type
11.2.3. By End User
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Product Type
11.3.3. By End User
11.4. Key Takeaways
12. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. India
12.2.1.2. Bangladesh
12.2.1.3. Australia
12.2.1.4. New Zealand
12.2.1.5. Rest of South Asia and Pacific
12.2.2. By Product Type
12.2.3. By End User
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Product Type
12.3.3. By End User
12.4. Key Takeaways
13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.2. By Product Type
13.2.3. By End User
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Product Type
13.3.3. By End User
13.4. Key Takeaways
14. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. GCC Countries
14.2.1.2. South Africa
14.2.1.3. Israel
14.2.1.4. Rest of MEA
14.2.2. By Product Type
14.2.3. By End User
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Product Type
14.3.3. By End User
14.4. Key Takeaways
15. Key Countries Market Analysis
15.1. USA
15.1.1. Pricing Analysis
15.1.2. Market Share Analysis, 2022
15.1.2.1. By Product Type
15.1.2.2. By End User
15.2. Canada
15.2.1. Pricing Analysis
15.2.2. Market Share Analysis, 2022
15.2.2.1. By Product Type
15.2.2.2. By End User
15.3. Brazil
15.3.1. Pricing Analysis
15.3.2. Market Share Analysis, 2022
15.3.2.1. By Product Type
15.3.2.2. By End User
15.4. Mexico
15.4.1. Pricing Analysis
15.4.2. Market Share Analysis, 2022
15.4.2.1. By Product Type
15.4.2.2. By End User
15.5. Germany
15.5.1. Pricing Analysis
15.5.2. Market Share Analysis, 2022
15.5.2.1. By Product Type
15.5.2.2. By End User
15.6. UK
15.6.1. Pricing Analysis
15.6.2. Market Share Analysis, 2022
15.6.2.1. By Product Type
15.6.2.2. By End User
15.7. France
15.7.1. Pricing Analysis
15.7.2. Market Share Analysis, 2022
15.7.2.1. By Product Type
15.7.2.2. By End User
15.8. Spain
15.8.1. Pricing Analysis
15.8.2. Market Share Analysis, 2022
15.8.2.1. By Product Type
15.8.2.2. By End User
15.9. Italy
15.9.1. Pricing Analysis
15.9.2. Market Share Analysis, 2022
15.9.2.1. By Product Type
15.9.2.2. By End User
15.10. Poland
15.10.1. Pricing Analysis
15.10.2. Market Share Analysis, 2022
15.10.2.1. By Product Type
15.10.2.2. By End User
15.11. Russia
15.11.1. Pricing Analysis
15.11.2. Market Share Analysis, 2022
15.11.2.1. By Product Type
15.11.2.2. By End User
15.12. Czech Republic
15.12.1. Pricing Analysis
15.12.2. Market Share Analysis, 2022
15.12.2.1. By Product Type
15.12.2.2. By End User
15.13. Romania
15.13.1. Pricing Analysis
15.13.2. Market Share Analysis, 2022
15.13.2.1. By Product Type
15.13.2.2. By End User
15.14. India
15.14.1. Pricing Analysis
15.14.2. Market Share Analysis, 2022
15.14.2.1. By Product Type
15.14.2.2. By End User
15.15. Bangladesh
15.15.1. Pricing Analysis
15.15.2. Market Share Analysis, 2022
15.15.2.1. By Product Type
15.15.2.2. By End User
15.16. Australia
15.16.1. Pricing Analysis
15.16.2. Market Share Analysis, 2022
15.16.2.1. By Product Type
15.16.2.2. By End User
15.17. New Zealand
15.17.1. Pricing Analysis
15.17.2. Market Share Analysis, 2022
15.17.2.1. By Product Type
15.17.2.2. By End User
15.18. China
15.18.1. Pricing Analysis
15.18.2. Market Share Analysis, 2022
15.18.2.1. By Product Type
15.18.2.2. By End User
15.19. Japan
15.19.1. Pricing Analysis
15.19.2. Market Share Analysis, 2022
15.19.2.1. By Product Type
15.19.2.2. By End User
15.20. South Korea
15.20.1. Pricing Analysis
15.20.2. Market Share Analysis, 2022
15.20.2.1. By Product Type
15.20.2.2. By End User
15.21. GCC Countries
15.21.1. Pricing Analysis
15.21.2. Market Share Analysis, 2022
15.21.2.1. By Product Type
15.21.2.2. By End User
15.22. South Africa
15.22.1. Pricing Analysis
15.22.2. Market Share Analysis, 2022
15.22.2.1. By Product Type
15.22.2.2. By End User
15.23. Israel
15.23.1. Pricing Analysis
15.23.2. Market Share Analysis, 2022
15.23.2.1. By Product Type
15.23.2.2. By End User
16. Market Structure Analysis
16.1. Competition Dashboard
16.2. Competition Benchmarking
16.3. Market Share Analysis of Top Players
16.3.1. By Regional
16.3.2. By Product Type
16.3.3. By End User
17. Competition Analysis
17.1. Competition Deep Dive
17.1.1. IBM
17.1.1.1. Overview
17.1.1.2. Product Portfolio
17.1.1.3. Profitability by Market Segments
17.1.1.4. Sales Footprint
17.1.1.5. Strategy Overview
17.1.1.5.1. Marketing Strategy
17.1.2. Hewlett-Packard Enterprises
17.1.2.1. Overview
17.1.2.2. Product Portfolio
17.1.2.3. Profitability by Market Segments
17.1.2.4. Sales Footprint
17.1.2.5. Strategy Overview
17.1.2.5.1. Marketing Strategy
17.1.3. Baidu Inc.
17.1.3.1. Overview
17.1.3.2. Product Portfolio
17.1.3.3. Profitability by Market Segments
17.1.3.4. Sales Footprint
17.1.3.5. Strategy Overview
17.1.3.5.1. Marketing Strategy
17.1.4. Elastic GmbH
17.1.4.1. Overview
17.1.4.2. Product Portfolio
17.1.4.3. Profitability by Market Segments
17.1.4.4. Sales Footprint
17.1.4.5. Strategy Overview
17.1.4.5.1. Marketing Strategy
17.1.5. Facebook
17.1.5.1. Overview
17.1.5.2. Product Portfolio
17.1.5.3. Profitability by Market Segments
17.1.5.4. Sales Footprint
17.1.5.5. Strategy Overview
17.1.5.5.1. Marketing Strategy
17.1.6. Google LLC
17.1.6.1. Overview
17.1.6.2. Product Portfolio
17.1.6.3. Profitability by Market Segments
17.1.6.4. Sales Footprint
17.1.6.5. Strategy Overview
17.1.6.5.1. Marketing Strategy
17.1.7. Oracle Corporation
17.1.7.1. Overview
17.1.7.2. Product Portfolio
17.1.7.3. Profitability by Market Segments
17.1.7.4. Sales Footprint
17.1.7.5. Strategy Overview
17.1.7.5.1. Marketing Strategy
17.1.8. SAP SE
17.1.8.1. Overview
17.1.8.2. Product Portfolio
17.1.8.3. Profitability by Market Segments
17.1.8.4. Sales Footprint
17.1.8.5. Strategy Overview
17.1.8.5.1. Marketing Strategy
17.1.9. Symantec Corporation
17.1.9.1. Overview
17.1.9.2. Product Portfolio
17.1.9.3. Profitability by Market Segments
17.1.9.4. Sales Footprint
17.1.9.5. Strategy Overview
17.1.9.5.1. Marketing Strategy
17.1.10. Adobe Systems Inc.
17.1.10.1. Overview
17.1.10.2. Product Portfolio
17.1.10.3. Profitability by Market Segments
17.1.10.4. Sales Footprint
17.1.10.5. Strategy Overview
17.1.10.5.1. Marketing Strategy
17.1.11. Microsoft Corporation
17.1.11.1. Overview
17.1.11.2. Product Portfolio
17.1.11.3. Profitability by Market Segments
17.1.11.4. Sales Footprint
17.1.11.5. Strategy Overview
17.1.11.5.1. Marketing Strategy
17.1.12. Wipro Ltd.
17.1.12.1. Overview
17.1.12.2. Product Portfolio
17.1.12.3. Profitability by Market Segments
17.1.12.4. Sales Footprint
17.1.12.5. Strategy Overview
17.1.12.5.1. Marketing Strategy
17.1.13. LucidWorks Inc.
17.1.13.1. Overview
17.1.13.2. Product Portfolio
17.1.13.3. Profitability by Market Segments
17.1.13.4. Sales Footprint
17.1.13.5. Strategy Overview
17.1.13.5.1. Marketing Strategy
18. Assumptions & Acronyms Used
19. Research Methodology