Content Intelligence Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)

Market Overview

The content intelligence market is expected to register a CAGr of 25% during the forecast period 2021 - 2026. The growth of the internet and the adoption of digital transformation technologies across the industry are leading into the generation of the enormous volume of data. For instance, WordPress, a popular content management system (CMS) platform that powers 35.2% of all sites on the web, reports as of March 2020 each month it generates over 409 million people viewing 20 billion pages with 70 million new posts.

• Also, research conducted by Adobe Inc states that the average person spends around 7.8 hours a day interacting with digital content with teenagers reporting 11.1 hours a day. Furthermore, there also has been a trend with users demand more personalized content.
• Modern marketers are starting to appreciate the importance and value of delivering useful content to capitalize on the growing digital content market amidst the competition, thereby content marketing strategies such as inbound marketing have become a dominant force.
• Furthermore, content marketing has been experiencing various transformation over the last few years with the shift towards marketing analytics to increase the use of automation is leading the evolution of content marketing strategies leveraging advanced technologies, thereby initiating the demand for content intelligence.
• Content Intelligence offers the content marketers with the data that is essential to understand the audience and help them to strategize and prove higher ROI. It enables the marketers to gain valuable insights from the volume of data generated that allows them to derive data-driven decisions to create more effective content while justifying the decisions and managing upwards effectively
• Essentially, Content intelligence is powered by technologies such as machine learning, natural language processing, AI, and big data that enable it to conduct repetitive tasks in an efficient, and effective way while ensuring the information is analyzed accurately thereby helping marketers to hyper-personalize the content while ensuring greater traffic, engagement, leads, and retention.
• For instance, Concured, a CI tool utilizes AI to predict subjects that grabs the most internet attention and also suggest what should be the content written about next. Additionally, it correlates social engagements from platforms, such as Twitter and Facebook, from the original content against the topic to translate into a topic score, thereby providing the end-users opportunity for new content creation. Furthermore, it relies on deep-learning algorithms to provide trends.

Scope of the Report

• Content intelligence refers to systems and software solutions that leverage the technological advances such as Big Data, natural language processing, and AI to transform raw content data into actionable insights for content makers to drive content strategy.
• The reports cover the emerging trends in the content intelligence market segmented by component, deployment, organization size, and enter-user vertical across different regions studied.

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Key Market Trends

Emerging Trends of Content Intelligence Across Industries

• Amidst the growth of internet traffic, marketers are now considering content strategies, such as personalization, as it allows organizations to look beyond traditional content marketing strategies based on users' location and demographics to advanced information, like their behavior and social media activity. It leverages tools like content intelligence, thereby driving the growth of the market. For instance, media streaming platforms such as Youtube, Amazon Prime, Netflix actively use content personalization to increase user engagement.
• As with the growth of CRM platforms such as Salesforce Desk, Zoho CRM across the industry to help manage customer relationships efficiently and effectively added businesses considering implementing technologies such as AI into such platforms drive the potential growth of the content intelligence market.
• For instance, the Content IQ extracts the content generated through incoming communication and integrates relevant information to the downstream processes and provides it to the consumer-facing system, this quick turnaround of content to actionable data provides the staff comprehensive insights while still communicating with the customer. Additionally, given access to unstructured data, such as chatbot and email, would organizations to provide personalized services to its customers.
• Also, integrating the content intelligence with business intelligence would allow organizations to enhance their business decisions further to identify trends, opportunities, and optimization by leveraging content intelligence potential to analyze existing business content from contracts, communications, emails, among others.
• Furthermore, content intelligence would also be helpful in analyzing risk as it makes early tracking of documentation and its content possible added with intelligent insights with the given data for a better overview of completion of the set help organizations to comply with regulations and thereby prevent frauds.

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