The global Content Analytics market is predicted to reach USD 10.23 billion in 2024 and USD 30.83 billion by 2029, growing at a CAGR of 24.7% during the forecast period.
Content Analytics is the act of applying business analytics and business intelligence practices to digital content. It is a group of technologies that uses digital content and user behavior in using and engaging with content such as documents, news sites, customer conversation, and social network discussions to answer specific questions. The global content analytics market value is expected to increase more during the forecast period with the increasing investments in digital marketing practices.
Factors such as risk and compliance management, convergence of text analytics with big data, etc., are other major promoting aspects of the Content Analytics market growth. Increasing demand for digitization in the government sector is also one of the factors that is propelling the growth of the content analytics market across the globe. Increasing competition in several essential application sectors is also a crucial factor that is supposed to boost the expansion of the Content Analytics market across all areas of the world. Stringent government regulations are among the major restraints affecting the growth of the Content Analytics market. High cost, lack of end-use awareness, and software handling are also major limitations to the development of the global Content Analytics market.
Coronavirus has impacted all industries around the globe in three ways: by directly affecting production and demand, by creating disruption in the supply chain, and by its financial burden on firms due to the strict lockdown implemented by the provincial authorities in both developed and developing nations of the world. Due to the lockdown, companies were forced to halt their manufacturing units for a period of time to eradicate the spread of coronavirus as it was spreading at a rapid speed from one person to another. This situation may continue until the vaccine for the virus gets released. However, the companies are facing some unexpected losses due to the COVID-19 pandemic and are looking for different strategies to bring themselves into action, but it is clearly likely to take some while until everything is back to normal.
As per the report, the Content Analytics market is estimated to record a surge in revenue rate due to the increasing demand for these analytics worldwide. This demand is due to increased usage of advanced analytics, increasing digitization in the government sector, and increased investment by leading companies in different parts of the world. This is also foreseen to propel the growth of the Content Analytics market in the coming years.
REPORT METRIC |
DETAILS |
Market Size Available |
2023 to 2029 |
Base Year |
2023 |
Forecast Period |
2024 to 2029 |
CAGR |
24.7% |
Segments Covered |
By Application, Deployment Type, Vertical, and Region. |
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
Market Leaders Profiled |
Clarabridge, INC. (U.S.), Interactive Intelligence Group, International Business Machine Corporation (U.S.), Oracle Corporation (U.S.), Adobe Systems, INC. (U.S.), OpenText Corporation (Canada), Nice Systems LTD. (Israel), Verint Systems (U.S.), SAP SE (Germany), and SAS Institute, INC. (U.S.) and Others. |
Among these, the text analytics segment holds the major share of the market compared to others.
Among these, the on-premises segment holds the major share of the market. The cloud-based analytics segment is expected to grow further owing to the growing adoption of SaaS applications by enterprises for business management.
Among these, the banking, financial services, and insurance segment holds the dominant share of the market as it generates large amounts of unstructured data, such as customer information, financial, product logs, and transactional information.
North American region holds the major share of the content analytics market owing to the adoption of data modernization technologies across various end-user industries, especially in the United States and Canada. North America is also expected to dominate the content analytics market during the projection period. The Asia Pacific region is expected to increase in the Content Analytics market owing to the growing e-commerce and increasing presence and penetration of social networking in nations like India, China, Japan, and so on. Europe region is expected to record an increase in the market of Content Analytics during the outlook period following the North American and Asia Pacific regions due to the increasing investments by the major players of the region for the implementation of new technological advancements in this industry in the local marketplace.
The major companies operating in the global Content Analytics market include Clarabridge, INC. (U.S.), Interactive Intelligence Group, International Business Machine Corporation (U.S.), Oracle Corporation (U.S.), Adobe Systems, INC. (U.S.), OpenText Corporation (Canada), Nice Systems LTD. (Israel), Verint Systems (U.S.), SAP SE (Germany), and SAS Institute, INC. (U.S.)
By Application
Speech Analytics
Text Analytics
Web Analytics
Social Media Analytics
Others.
By Deployment Type
On-Premises
Cloud
By Vertical
Banking
Financial Services
Insurance
Retail & Consumer goods
IT & Telecom
Healthcare
Media & Entertainment
Government
Travel & Hospitality
Others
By Region
North America
The United States
Canada
Rest of North America
Europe
The United Kingdom
Spain
Germany
Italy
France
Rest of Europe
The Asia Pacific
India
Japan
China
Australia
Singapore
Malaysia
South Korea
New Zealand
Southeast Asia
Latin America
Brazil
Argentina
Mexico
Rest of LATAM
The Middle East and Africa
Saudi Arabia
UAE
Lebanon
Jordan
Cyprus
Frequently Asked Questions
Industries such as e-commerce, healthcare, and finance are using content analytics to extract valuable insights from unstructured data, enabling better decision-making, personalized customer experiences, and improved operational efficiency.
NLP plays a crucial role in content analytics by enabling machines to understand and interpret human language, facilitating sentiment analysis, text summarization, and extracting valuable insights from unstructured textual data.
Machine learning algorithms enhance content analytics by automating pattern recognition, predictive analysis, and anomaly detection, allowing businesses to derive actionable intelligence from vast datasets.
Anticipated trends include the increased integration of AI and machine learning, emphasis on real-time analytics, and the continuous evolution of natural language processing techniques to enhance the accuracy and depth of content analysis.
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