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 |
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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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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.
These technologies are still in their infancy, and promoting their significance is currently a major challenge for market participants.
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.
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.
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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.
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.
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:
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.
Report Attribute | Details |
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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 |
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Regions Covered |
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Key Countries Profiled |
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Key Companies Profiled |
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Customization & Pricing | Available upon Request |
The market is valued at US$ 4.8 billion in 2023.
IBM, Hewlett-Packard Enterprises, and Baidu Inc. are key market players.
The market shall reach US$ 21.2 billion in 2033.
The market is forecast to register a CAGR of 15.9% through 2033.
Integration of IoT and AI to boost the market growth.
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
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