컨텐츠 인텔리전스 시장 - 세계 산업 규모, 점유율, 동향, 기회, 예측 : 구성요소별, 전개별, 기업 규모별, 최종 용도별, 지역별, 경쟁별(2018-2028년)

Global Content Intelligence Market was valued at USD 1.84 Billion in 2022 and is anticipated to project robust growth in the forecast period with a CAGR of 19.2% through 2028. The Global Content Intelligence Market is witnessing substantial growth driven by the escalating need for businesses to extract meaningful insights from the vast expanse of digital content. Content Intelligence refers to the use of artificial intelligence and machine learning technologies to analyze and derive actionable insights from diverse digital content sources, including text, images, and videos. The market's expansion is propelled by the increasing importance of data-driven decision-making in businesses of all scales and sectors. Companies are adopting Content Intelligence solutions to enhance customer experiences, optimize digital marketing strategies, improve content relevancy, and gain a competitive edge in the ever-evolving digital landscape. These solutions offer advanced features such as sentiment analysis, natural language processing, and data categorization, empowering organizations to decipher consumer behavior, trends, and preferences. The rising volume of digital data, coupled with the need for real-time analysis, has made Content Intelligence indispensable for enterprises aiming to stay ahead in the market. As businesses continue to recognize the significance of actionable insights derived from their digital content, the Global Content Intelligence Market is poised for continuous growth, catering to the demands of businesses striving for data-driven excellence and market relevance.

Key Market Drivers

Rising Digital Content Volume

The global Content Intelligence market is experiencing significant growth, primarily driven by the rising volume of digital content. In today's digital age, businesses across industries are generating an unprecedented amount of content through various channels such as websites, social media platforms, blogs, and online publications. This exponential growth in digital content has created a need for advanced technologies and solutions that can effectively manage, analyze, and derive valuable insights from this vast amount of data. Content Intelligence tools leverage artificial intelligence (AI) and machine learning (ML) algorithms to process and understand content at scale, enabling organizations to extract meaningful insights, identify trends, and make data-driven decisions. These solutions offer capabilities such as content categorization, sentiment analysis, topic extraction, and content performance tracking, allowing businesses to optimize their content strategies, improve customer engagement, and enhance overall content effectiveness. With the continuous expansion of digital content, the demand for Content Intelligence solutions is expected to grow further, as organizations strive to gain a competitive edge by leveraging the power of data-driven insights to create relevant, personalized, and impactful content that resonates with their target audience. Additionally, the increasing focus on content marketing, search engine optimization (SEO), and customer experience enhancement further drives the adoption of Content Intelligence tools. By analyzing content performance metrics, customer behavior, and market trends, businesses can refine their content strategies, improve search rankings, and deliver personalized experiences that meet the evolving expectations of their customers. In conclusion, the rising volume of digital content is a key driver of the global Content Intelligence market, as businesses recognize the need for advanced solutions to effectively manage and derive actionable insights from this vast amount of data. As the digital landscape continues to expand, the demand for Content Intelligence tools is expected to grow, enabling organizations to harness the power of data-driven content analysis and optimization to drive business success.

Data-Driven Decision-Making

Data-driven decision-making is a key driver of the global Content Intelligence market, as businesses increasingly recognize the importance of leveraging data to inform their content strategies and drive better outcomes. In today's digital landscape, organizations generate and consume vast amounts of data from various sources, including customer interactions, website analytics, social media engagement, and market research. Content Intelligence solutions play a crucial role in this process by utilizing advanced technologies such as artificial intelligence (AI) and machine learning (ML) to analyze and derive insights from this data. These solutions enable businesses to gain a deeper understanding of their target audience, identify trends, and uncover valuable insights that can inform content creation, distribution, and optimization strategies. By leveraging data-driven insights, organizations can create more relevant and personalized content that resonates with their customers, leading to improved engagement, increased conversions, and enhanced customer satisfaction. Furthermore, data-driven decision-making allows businesses to measure and track the performance of their content initiatives, enabling them to identify areas of improvement, optimize their content strategies, and allocate resources effectively. Content Intelligence tools provide metrics and analytics that help businesses evaluate the impact of their content across different channels, identify high-performing content, and understand customer preferences and behavior. This data-driven approach empowers organizations to make informed decisions, mitigate risks, and stay ahead of the competition in a rapidly evolving digital landscape. As businesses continue to prioritize data-driven decision-making, the demand for Content Intelligence solutions is expected to grow. Organizations across industries, including marketing, advertising, e-commerce, and publishing, are increasingly investing in these tools to unlock the full potential of their data and drive better business outcomes. In conclusion, data-driven decision-making is a significant driver of the global Content Intelligence market, as businesses recognize the value of leveraging data to inform their content strategies, enhance customer experiences, and achieve their business objectives. The adoption of Content Intelligence solutions enables organizations to harness the power of data analytics and AI-driven insights, leading to more effective content creation, improved engagement, and increased competitive advantage in the digital era.

Enhanced Customer Experiences

Enhanced customer experiences are a key driver of the global Content Intelligence market as businesses recognize the importance of delivering personalized and engaging content to their target audience. In today's digital era, customers have higher expectations for relevant and tailored experiences across various touchpoints. Content Intelligence solutions leverage advanced technologies such as artificial intelligence (AI) and machine learning (ML) to analyze vast amounts of data, including customer behavior, preferences, and demographics. By understanding customer insights, businesses can create and deliver content that resonates with their audience, resulting in enhanced customer experiences. These solutions enable organizations to segment their audience, identify content gaps, and develop personalized content recommendations. By delivering the right content to the right audience at the right time, businesses can increase customer engagement, loyalty, and satisfaction. Content Intelligence tools also provide real-time insights and recommendations, allowing businesses to adapt their content strategies based on customer feedback and preferences. This iterative approach enables organizations to continuously improve their content and deliver exceptional customer experiences. Furthermore, Content Intelligence solutions enable businesses to measure and track the performance of their content initiatives, allowing them to identify high-performing content and optimize their strategies accordingly. By analyzing content performance metrics, businesses can gain insights into what resonates with their audience and make data-driven decisions to enhance customer experiences. The global Content Intelligence market is witnessing significant growth as businesses strive to meet the evolving expectations of their customers. By leveraging Content Intelligence solutions, organizations can create personalized, relevant, and engaging content that drives customer satisfaction and loyalty. As the demand for enhanced customer experiences continues to rise, the Content Intelligence market is expected to expand further, offering businesses the tools they need to deliver exceptional customer experiences and gain a competitive edge in the digital landscape. In conclusion, enhanced customer experiences are a driving force behind the global Content Intelligence market. By leveraging advanced technologies and data-driven insights, businesses can create personalized and engaging content that resonates with their audience, resulting in increased customer satisfaction and loyalty. The adoption of Content Intelligence solutions enables organizations to deliver exceptional customer experiences, drive better business outcomes, and stay ahead in the competitive digital landscape.

Competitive Edge in Digital Marketing

In the highly competitive landscape of digital marketing, gaining a competitive edge is crucial for businesses, and this is where the global Content Intelligence market plays a significant role. Content Intelligence solutions provide businesses with the tools and insights needed to optimize their digital marketing strategies and stand out from the competition. By leveraging advanced technologies such as artificial intelligence (AI) and machine learning (ML), Content Intelligence solutions enable organizations to analyze vast amounts of data, including customer behavior, market trends, and content performance metrics. This analysis helps businesses understand their target audience better, identify content gaps, and create personalized and engaging content that resonates with their customers. By delivering relevant and tailored content, businesses can enhance customer experiences, increase engagement, and drive conversions. Moreover, Content Intelligence solutions provide real-time recommendations and insights, allowing businesses to adapt their marketing strategies on the fly and stay ahead of the competition. These solutions also enable businesses to measure and track the performance of their content initiatives, identify high-performing content, and optimize their marketing efforts based on data-driven insights. By continuously refining their content strategies and delivering impactful content, businesses can gain a competitive edge in the digital marketing landscape. The global Content Intelligence market is witnessing significant growth as businesses recognize the importance of data-driven content analysis and optimization in achieving their marketing goals. As the demand for personalized and relevant content continues to rise, organizations across industries are investing in Content Intelligence solutions to gain a competitive advantage. With the continuous advancements in AI and ML technologies, the Content Intelligence market is expected to expand further, offering businesses the tools they need to stay ahead in the ever-evolving digital marketing landscape. In conclusion, the competitive edge in digital marketing is a driving force behind the global Content Intelligence market. By leveraging advanced technologies and data-driven insights, businesses can optimize their content strategies, enhance customer experiences, and gain a competitive advantage in the digital marketing arena. The adoption of Content Intelligence solutions enables organizations to stay ahead of the competition, drive better business outcomes, and achieve their marketing objectives in the dynamic and competitive digital landscape.

Innovation in Machine Learning and Natural Language Processing

Innovation in machine learning and natural language processing (NLP) is a key driver of the global Content Intelligence market, as it enables organizations to extract valuable insights from vast amounts of content and enhance their content strategies. Machine learning algorithms and NLP techniques have significantly advanced in recent years, allowing businesses to analyze and understand content at a scale. These technologies enable Content Intelligence solutions to automatically categorize and tag content, extract relevant topics and keywords, perform sentiment analysis, and identify patterns and trends. By leveraging machine learning and NLP, organizations can gain a deeper understanding of their target audience, their preferences, and their behavior, enabling them to create more personalized and engaging content. Furthermore, these innovations enable Content Intelligence tools to provide real-time recommendations and insights, helping businesses optimize their content strategies and improve content performance. The ability to process and analyze unstructured data, such as social media posts, customer reviews, and online articles, has become crucial in today's digital landscape. Machine learning and NLP algorithms can extract meaningful information from this unstructured data, allowing organizations to uncover valuable insights and make data-driven decisions. Additionally, the continuous advancements in machine learning and NLP techniques are driving the development of more sophisticated Content Intelligence solutions. These solutions can now understand context, detect nuances in language, and even generate content autonomously. As a result, businesses can leverage these innovations to streamline content creation processes, improve content quality, and deliver more relevant and engaging experiences to their target audience. The global Content Intelligence market is witnessing a surge in demand as organizations recognize the potential of machine learning and NLP in unlocking the value of their content. As these technologies continue to evolve and improve, the market is expected to experience further growth, with businesses across industries investing in Content Intelligence solutions to gain a competitive edge in the digital era. In conclusion, innovation in machine learning and natural language processing is a driving force behind the global Content Intelligence market. These advancements empower organizations to extract insights from vast amounts of content, enhance their content strategies, and deliver personalized and engaging experiences to their audience. As technology continues to advance, the Content Intelligence market is poised for further growth, offering businesses the tools they need to leverage the power of data-driven content analysis and optimization.

Key Market Challenges

Content Compatibility and Fragmentation

The Global Content Intelligence Market faces significant challenges related to content compatibility and fragmentation. With the vast array of digital content formats, including text, images, videos, and multimedia elements, ensuring seamless compatibility across platforms and devices becomes a complex endeavor. Content fragmentation arises due to diverse content creation tools, file formats, and content management systems, leading to inconsistencies in how content is displayed and processed. This disparity creates difficulties for businesses aiming to maintain a cohesive and unified brand image across digital channels. As new content formats and platforms continue to emerge, the challenge of content compatibility and fragmentation persists, requiring innovative solutions to harmonize diverse content elements for optimal user experiences.

Counterfeit and Low-Quality Content Analytics Tools

The market is plagued by counterfeit and low-quality Content Intelligence tools, posing risks to businesses relying on accurate insights for decision-making. Substandard tools may lack necessary features, leading to inaccurate data analysis, faulty predictions, and misinformed strategies. Addressing this challenge demands stringent quality control measures, extensive research, and vigilant scrutiny when choosing Content Intelligence solutions. Businesses must invest in reputable providers and prioritize comprehensive evaluations to identify genuine and effective tools. Moreover, industry-wide awareness campaigns are essential to educate businesses about the risks associated with counterfeit and subpar Content Intelligence products, fostering a discerning market approach.

Ethical and Regulatory Concerns

The widespread use of Content Intelligence tools raises ethical and regulatory concerns regarding data privacy, user consent, and content manipulation. As these tools delve deep into user-generated content, ensuring compliance with data protection laws and ethical standards becomes imperative. Businesses face the challenge of balancing advanced analytics with user privacy rights, navigating a complex landscape of regulations that vary across regions and industries. Ethical considerations regarding the responsible use of Content Intelligence tools also come to the forefront, addressing questions about the manipulation of public opinion and the potential misuse of insights. Striking a balance between innovation, user privacy, and ethical practices presents an ongoing challenge in the Content Intelligence Market, necessitating continuous dialogue and collaboration between industry stakeholders and regulatory bodies.

Data Security and Integrity

The integrity and security of data utilized by Content Intelligence tools pose significant challenges for businesses. Ensuring that sensitive information remains protected against cyber threats, unauthorized access, and data breaches is a paramount concern. As businesses rely on Content Intelligence to analyze vast datasets, maintaining the confidentiality and integrity of this information is crucial. Additionally, the accuracy of data sources is vital for reliable insights. The challenge lies in validating the authenticity and credibility of data streams, especially when dealing with user-generated content and unstructured data. Businesses need robust data security measures, encryption protocols, and authentication mechanisms to safeguard their data assets. Addressing these challenges requires constant vigilance, investment in cybersecurity technologies, and adherence to industry best practices to maintain data integrity and user trust in Content Intelligence solutions.

Key Market Trends

Increased Demand for Advanced Content Analysis

The global Content Intelligence market is witnessing a significant surge in demand driven by the need for advanced content analysis tools. As businesses navigate an ever-expanding digital landscape, there is a growing emphasis on understanding and leveraging content data comprehensively. Advanced Content Intelligence solutions offer sophisticated algorithms and machine learning capabilities, enabling businesses to gain profound insights into consumer behavior, sentiment analysis, and market trends. This trend is fueled by the recognition that in-depth content analysis is not only essential for effective marketing strategies but also for enhancing customer experiences and fostering brand loyalty.

Integration of Artificial Intelligence and Natural Language Processing

A pivotal trend shaping the Content Intelligence market is the integration of Artificial Intelligence (AI) and Natural Language Processing (NLP) technologies. AI-powered Content Intelligence tools can process vast amounts of unstructured data, allowing businesses to derive actionable insights from text, images, and multimedia content. NLP, in particular, enables these tools to comprehend human language nuances, facilitating sentiment analysis, language translation, and contextual understanding. The synergy between AI and NLP is revolutionizing content analysis, empowering businesses to decipher complex datasets, automate content categorization, and deliver personalized content experiences to users. This integration reflects a paradigm shift in how businesses harness the power of content data for strategic decision-making and customer engagement.

Focus on Predictive Analytics and Content Personalization

Predictive analytics and content personalization have emerged as key trends in the Content Intelligence market. Businesses are increasingly leveraging predictive analytics algorithms to forecast consumer behavior, identify emerging market trends, and optimize content strategies proactively. Additionally, content personalization, driven by AI-driven insights, allows businesses to tailor content delivery based on individual user preferences, behaviors, and demographics. Personalized content experiences enhance user engagement, increase conversion rates, and foster customer loyalty. The demand for solutions that offer predictive analytics and content personalization capabilities is growing exponentially, reflecting a shift towards data-driven decision-making and customer-centric content strategies in the digital landscape.

Emphasis on Multimodal Content Analysis

Multimodal content analysis, encompassing text, images, videos, and audio data, has become a prominent trend in the Content Intelligence market. Businesses recognize the importance of analyzing diverse content formats to gain comprehensive insights into user interactions and preferences. Advanced Content Intelligence tools equipped with multimodal analysis capabilities can process these varied content types simultaneously, providing a holistic view of customer interactions. This trend is particularly relevant in the era of social media, where user-generated content includes a multitude of media formats. Multimodal content analysis empowers businesses to understand the context of user-generated content fully, enabling effective brand management, sentiment analysis, and content strategy optimization.

Rise of Cloud-Based Content Intelligence Solutions

Cloud-based Content Intelligence solutions are experiencing a rapid ascent in the market, transforming the way businesses approach content analysis. Cloud-based platforms offer scalability, flexibility, and real-time data processing capabilities, making them ideal for businesses of all sizes. Cloud solutions facilitate seamless integration with existing business systems, enabling effortless data migration and accessibility from anywhere, at any time. The scalability of cloud-based platforms allows businesses to adapt to fluctuating data volumes, ensuring consistent and reliable content analysis. Additionally, cloud-based solutions often come equipped with AI-driven features, enhancing the accuracy and efficiency of content analysis processes. The migration towards cloud-based Content Intelligence solutions underscores the industry's shift towards technologically advanced, scalable, and accessible content analysis tools, driving innovation and competitiveness in the market.

Segmental Insights

Component Insights

The software segment led the market and accounted for a revenue share of over 76.0% in 2022. This dominance is attributed to the extensive capabilities of software solutions, empowering organizations to manage and optimize their content efficiently. The software facilitates content identification, classification, performance analysis, task automation, quality enhancement, and personalized content delivery for diverse audiences. The surge in digital channel adoption and the escalating content volume creation fuels the demand for content intelligence software as organizations seek tools to harness their content effectively and achieve their business objectives.

The service segment is predicted to foresee significant growth in the forecast years due to the increasing complexity of content intelligence solutions, the growing imperative for organizations to maximize their content investments, and the shortage of skilled content intelligence professionals. These services encompass training and education to equip employees with effective content intelligence skills and support for seamless solution implementation that includes troubleshooting, data integration, and security. In addition, they offer consulting expertise for the development and execution of content intelligence strategies and the option to outsource solution management to providers. Thus, organizations increasingly prioritize comprehensive services to maximize the benefits of content intelligence.

Enterprise Size Insights

The large enterprises segment dominated the market and accounted for a revenue share of over 69.0% in 2022. The segment's rise can be attributable to the substantial content volumes managed by large enterprises, compelling them to prioritize content strategy optimization. Their objectives encompass enhancing the quality and effectiveness of content marketing campaigns, gaining deeper insights into target audience preferences, and crafting personalized and relevant content experiences. Furthermore, they focus on measuring content performance for refinement and streamlining cost-effective content creation and management processes. Thus, the content intelligence platform plays a vital role in addressing the multifaceted needs of large-scale enterprises.

The SME segment is poised for significant growth in the coming years due to the increasing availability of cost-effective cloud-based content intelligence solutions tailored for SMEs, raising awareness of the benefits of content intelligence such as improved customer engagement and higher conversion rates, and heightened competition in the SME market, prompting investments in innovative technologies. SMEs are increasingly turning to content intelligence to create more effective marketing campaigns, enhance website performance through SEO optimization, and measure the ROI of their content efforts. Moreover, vendors are offering SME-specific content intelligence solutions, known for their affordability and user-friendly nature compared to enterprise-grade alternatives.

End-use Insights

The media & entertainment segment dominated the market and accounted for a revenue share of over 22.0% in 2022. The segment's growth is attributable to its constant generation of new content and the imperative to comprehend and analyze it for effective marketing campaigns, content strategy enhancement, and performance measurement. Content intelligence solutions enable media and entertainment companies to identify trends and patterns in their content, assess its performance across various channels, gauge its impact on the audience, and streamline content creation and distribution processes. Thus, the need to identify trends, gauge content performance across diverse channels, measure audience impact, and optimize content creation and distribution processes drives the segment's growth in the market.

The retail and consumer goods sector is poised for substantial growth due to the escalating importance of content within the industry. Content serves as a crucial tool for informing and engaging customers, driving sales, and fostering brand loyalty. As a result, companies in this sector are increasingly investing in content creation and distribution, with content intelligence playing a pivotal role in shaping effective content strategies. In addition, there is a surging demand for customer insights to tailor products and services to meet customer preferences, and content intelligence is instrumental in providing valuable insights into customer behavior and interests. Thus, with the rapid expansion of e-commerce, the ability to create and distribute digitally optimized content is paramount, and content intelligence offers valuable insights into online content performance.

Regional Insights

North America dominated the content intelligence market in 2022 with a revenue share of over 39.0%. The region's growth is attributable to the North American businesses that proactively adopted content intelligence technologies, giving them a competitive edge in leveraging data-driven insights. In addition, the region's engagement of large enterprises investing in cutting-edge solutions further fueled the market's growth. Moreover, North America's robust ecosystem of content intelligence vendors played a pivotal role, ensuring a strong presence and a wide array of offerings in the market. For instance, in February 2023, M-Files, a U.S.-based company, acquired Ment, a no-code document automation company, to enhance its content intelligence capabilities. M-Files will integrate Ment's automation features into its platform, offering a holistic solution for document automation, management, and collaboration, improving productivity and efficiency for its users.

Asia Pacific is expected to witness a lucrative market opportunity in the coming years. Rapid economic growth in the region has led to a heightened demand for content intelligence solutions across businesses of varying sizes. Concurrently, the region is witnessing a substantial increase in digitalization, resulting in a surge in content creation and consumption, prompting the need for effective content management through content intelligence tools. Furthermore, there is a growing awareness of the advantages that content intelligence can bring, including enhanced customer engagement, increased sales, and cost reduction, further solidifying its potential in the Asia Pacific market.

Key Market Players

Adobe Inc.

IBM Corporation

Salesforce.com, Inc.

Oracle Corporation

SAS Institute Inc.

Acrolinx GmbH

Curata, Inc.

M-Files Corporation

NewsCred, Inc.

Vennli Inc.

OneSpot Inc.

Idio Ltd.

Ceralytics Inc.

Atomic Reach Inc.

Report Scope:

In this report, the Global Content Intelligence Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Content Intelligence Market, By Component:

• Software
• Services

Content Intelligence Market, By Deployment:

• Cloud
• On-premise

Content Intelligence Market, By Enterprise Size:

• SMEs
• Large Enterprises

Content Intelligence Market, By End-use:

• BFSI
• IT & Telecommunication
• Manufacturing
• Media & Entertainment
• Retail & Consumer Goods
• Travel & Hospitality
• Government & Public Sector
• Others

Content Intelligence Market, By Region:

• North America
• United States
• Canada
• Mexico
• Europe
• France
• United Kingdom
• Italy
• Germany
• Spain
• Belgium
• Asia-Pacific
• China
• India
• Japan
• Australia
• South Korea
• Indonesia
• Vietnam
• South America
• Brazil
• Argentina
• Colombia
• Chile
• Peru
• Middle East & Africa
• South Africa
• Saudi Arabia
• UAE
• Turkey
• Israel

Competitive Landscape

• Company Profiles: Detailed analysis of the major companies present in the Global Content Intelligence Market.

Available Customizations:

• Global Content Intelligence market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Formulation of the Scope
• 2.4. Assumptions and Limitations
• 2.5. Sources of Research
  • 2.5.1. Secondary Research
  • 2.5.2. Primary Research
• 2.6. Approach for the Market Study
  • 2.6.1. The Bottom-Up Approach
  • 2.6.2. The Top-Down Approach
• 2.7. Methodology Followed for Calculation of Market Size & Market Shares
• 2.8. Forecasting Methodology
  • 2.8.1. Data Triangulation & Validation

3. Executive Summary

4. Impact of COVID-19 on Global Content Intelligence Market

5. Voice of Customer

6. Global Content Intelligence Market Overview

7. Global Content Intelligence Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component (Software, Services)
  • 7.2.2. By Deployment (Cloud, On-premise)
  • 7.2.3. By Enterprise Size (SMEs, Large Enterprises)
  • 7.2.4. By End-use (BFSI, IT & Telecommunication, Manufacturing, Media & Entertainment, Retail & Consumer Goods, Travel & Hospitality, Government & Public Sector, Others)
  • 7.2.5. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 7.3. By Company (2022)
• 7.4. Market Map

8. North America Content Intelligence Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Deployment
  • 8.2.3. By Enterprise Size
  • 8.2.4. By End-use
  • 8.2.5. By Country
• 8.3. North America: Country Analysis
  • 8.3.1. United States Content Intelligence Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Deployment
      • 8.3.1.2.3. By Enterprise Size
      • 8.3.1.2.4. By End-use
  • 8.3.2. Canada Content Intelligence Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Deployment
      • 8.3.2.2.3. By Enterprise Size
      • 8.3.2.2.4. By End-use
  • 8.3.3. Mexico Content Intelligence Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Deployment
      • 8.3.3.2.3. By Enterprise Size
      • 8.3.3.2.4. By End-use

9. Europe Content Intelligence Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Deployment
  • 9.2.3. By Enterprise Size
  • 9.2.4. By End-use
  • 9.2.5. By Country
• 9.3. Europe: Country Analysis
  • 9.3.1. Germany Content Intelligence Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Deployment
      • 9.3.1.2.3. By Enterprise Size
      • 9.3.1.2.4. By End-use
  • 9.3.2. France Content Intelligence Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Deployment
      • 9.3.2.2.3. By Enterprise Size
      • 9.3.2.2.4. By End-use
  • 9.3.3. United Kingdom Content Intelligence Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Deployment
      • 9.3.3.2.3. By Enterprise Size
      • 9.3.3.2.4. By End-use
  • 9.3.4. Italy Content Intelligence Market Outlook
    • 9.3.4.1. Market Size & Forecast
      • 9.3.4.1.1. By Value
    • 9.3.4.2. Market Share & Forecast
      • 9.3.4.2.1. By Component
      • 9.3.4.2.2. By Deployment
      • 9.3.4.2.3. By Enterprise Size
      • 9.3.4.2.4. By End-use
  • 9.3.5. Spain Content Intelligence Market Outlook
    • 9.3.5.1. Market Size & Forecast
      • 9.3.5.1.1. By Value
    • 9.3.5.2. Market Share & Forecast
      • 9.3.5.2.1. By Component
      • 9.3.5.2.2. By Deployment
      • 9.3.5.2.3. By Enterprise Size
      • 9.3.5.2.4. By End-use
  • 9.3.6. Belgium Content Intelligence Market Outlook
    • 9.3.6.1. Market Size & Forecast
      • 9.3.6.1.1. By Value
    • 9.3.6.2. Market Share & Forecast
      • 9.3.6.2.1. By Component
      • 9.3.6.2.2. By Deployment
      • 9.3.6.2.3. By Enterprise Size
      • 9.3.6.2.4. By End-use

10. South America Content Intelligence Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Deployment
  • 10.2.3. By Enterprise Size
  • 10.2.4. By End-use
  • 10.2.5. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Content Intelligence Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Deployment
      • 10.3.1.2.3. By Enterprise Size
      • 10.3.1.2.4. By End-use
  • 10.3.2. Colombia Content Intelligence Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Deployment
      • 10.3.2.2.3. By Enterprise Size
      • 10.3.2.2.4. By End-use
  • 10.3.3. Argentina Content Intelligence Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Deployment
      • 10.3.3.2.3. By Enterprise Size
      • 10.3.3.2.4. By End-use
  • 10.3.4. Chile Content Intelligence Market Outlook
    • 10.3.4.1. Market Size & Forecast
      • 10.3.4.1.1. By Value
    • 10.3.4.2. Market Share & Forecast
      • 10.3.4.2.1. By Component
      • 10.3.4.2.2. By Deployment
      • 10.3.4.2.3. By Enterprise Size
      • 10.3.4.2.4. By End-use
  • 10.3.5. Peru Content Intelligence Market Outlook
    • 10.3.5.1. Market Size & Forecast
      • 10.3.5.1.1. By Value
    • 10.3.5.2. Market Share & Forecast
      • 10.3.5.2.1. By Component
      • 10.3.5.2.2. By Deployment
      • 10.3.5.2.3. By Enterprise Size
      • 10.3.5.2.4. By End-use

11. Middle East & Africa Content Intelligence Market Outlook

• 11.1. Market Size & Forecast
  • 11.1.1. By Value
• 11.2. Market Share & Forecast
  • 11.2.1. By Component
  • 11.2.2. By Deployment
  • 11.2.3. By Enterprise Size
  • 11.2.4. By End-use
  • 11.2.5. By Country
• 11.3. Middle East & Africa: Country Analysis
  • 11.3.1. Saudi Arabia Content Intelligence Market Outlook
    • 11.3.1.1. Market Size & Forecast
      • 11.3.1.1.1. By Value
    • 11.3.1.2. Market Share & Forecast
      • 11.3.1.2.1. By Component
      • 11.3.1.2.2. By Deployment
      • 11.3.1.2.3. By Enterprise Size
      • 11.3.1.2.4. By End-use
  • 11.3.2. UAE Content Intelligence Market Outlook
    • 11.3.2.1. Market Size & Forecast
      • 11.3.2.1.1. By Value
    • 11.3.2.2. Market Share & Forecast
      • 11.3.2.2.1. By Component
      • 11.3.2.2.2. By Deployment
      • 11.3.2.2.3. By Enterprise Size
      • 11.3.2.2.4. By End-use
  • 11.3.3. South Africa Content Intelligence Market Outlook
    • 11.3.3.1. Market Size & Forecast
      • 11.3.3.1.1. By Value
    • 11.3.3.2. Market Share & Forecast
      • 11.3.3.2.1. By Component
      • 11.3.3.2.2. By Deployment
      • 11.3.3.2.3. By Enterprise Size
      • 11.3.3.2.4. By End-use
  • 11.3.4. Turkey Content Intelligence Market Outlook
    • 11.3.4.1. Market Size & Forecast
      • 11.3.4.1.1. By Value
    • 11.3.4.2. Market Share & Forecast
      • 11.3.4.2.1. By Component
      • 11.3.4.2.2. By Deployment
      • 11.3.4.2.3. By Enterprise Size
      • 11.3.4.2.4. By End-use
  • 11.3.5. Israel Content Intelligence Market Outlook
    • 11.3.5.1. Market Size & Forecast
      • 11.3.5.1.1. By Value
    • 11.3.5.2. Market Share & Forecast
      • 11.3.5.2.1. By Component
      • 11.3.5.2.2. By Deployment
      • 11.3.5.2.3. By Enterprise Size
      • 11.3.5.2.4. By End-use

12. Asia Pacific Content Intelligence Market Outlook

• 12.1. Market Size & Forecast
  • 12.1.1. By Component
  • 12.1.2. By Deployment
  • 12.1.3. By Enterprise Size
  • 12.1.4. By End-use
  • 12.1.5. By Country
• 12.2. Asia-Pacific: Country Analysis
  • 12.2.1. China Content Intelligence Market Outlook
    • 12.2.1.1. Market Size & Forecast
      • 12.2.1.1.1. By Value
    • 12.2.1.2. Market Share & Forecast
      • 12.2.1.2.1. By Component
      • 12.2.1.2.2. By Deployment
      • 12.2.1.2.3. By Enterprise Size
      • 12.2.1.2.4. By End-use
  • 12.2.2. India Content Intelligence Market Outlook
    • 12.2.2.1. Market Size & Forecast
      • 12.2.2.1.1. By Value
    • 12.2.2.2. Market Share & Forecast
      • 12.2.2.2.1. By Component
      • 12.2.2.2.2. By Deployment
      • 12.2.2.2.3. By Enterprise Size
      • 12.2.2.2.4. By End-use
  • 12.2.3. Japan Content Intelligence Market Outlook
    • 12.2.3.1. Market Size & Forecast
      • 12.2.3.1.1. By Value
    • 12.2.3.2. Market Share & Forecast
      • 12.2.3.2.1. By Component
      • 12.2.3.2.2. By Deployment
      • 12.2.3.2.3. By Enterprise Size
      • 12.2.3.2.4. By End-use
  • 12.2.4. South Korea Content Intelligence Market Outlook
    • 12.2.4.1. Market Size & Forecast
      • 12.2.4.1.1. By Value
    • 12.2.4.2. Market Share & Forecast
      • 12.2.4.2.1. By Component
      • 12.2.4.2.2. By Deployment
      • 12.2.4.2.3. By Enterprise Size
      • 12.2.4.2.4. By End-use
  • 12.2.5. Australia Content Intelligence Market Outlook
    • 12.2.5.1. Market Size & Forecast
      • 12.2.5.1.1. By Value
    • 12.2.5.2. Market Share & Forecast
      • 12.2.5.2.1. By Component
      • 12.2.5.2.2. By Deployment
      • 12.2.5.2.3. By Enterprise Size
      • 12.2.5.2.4. By End-use
  • 12.2.6. Indonesia Content Intelligence Market Outlook
    • 12.2.6.1. Market Size & Forecast
      • 12.2.6.1.1. By Value
    • 12.2.6.2. Market Share & Forecast
      • 12.2.6.2.1. By Component
      • 12.2.6.2.2. By Deployment
      • 12.2.6.2.3. By Enterprise Size
      • 12.2.6.2.4. By End-use
  • 12.2.7. Vietnam Content Intelligence Market Outlook
    • 12.2.7.1. Market Size & Forecast
      • 12.2.7.1.1. By Value
    • 12.2.7.2. Market Share & Forecast
      • 12.2.7.2.1. By Component
      • 12.2.7.2.2. By Deployment
      • 12.2.7.2.3. By Enterprise Size
      • 12.2.7.2.4. By End-use

13. Market Dynamics

• 13.1. Drivers
• 13.2. Challenges

14. Market Trends and Developments

15. Company Profiles

• 15.1. Adobe Inc.
  • 15.1.1. Business Overview
  • 15.1.2. Key Revenue and Financials
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel/Key Contact Person
  • 15.1.5. Key Product/Services Offered
• 15.2. IBM Corporation
  • 15.2.1. Business Overview
  • 15.2.2. Key Revenue and Financials
  • 15.2.3. Recent Developments
  • 15.2.4. Key Personnel/Key Contact Person
  • 15.2.5. Key Product/Services Offered
• 15.3. Salesforce.com, Inc.
  • 15.3.1. Business Overview
  • 15.3.2. Key Revenue and Financials
  • 15.3.3. Recent Developments
  • 15.3.4. Key Personnel/Key Contact Person
  • 15.3.5. Key Product/Services Offered
• 15.4. Oracle Corporation
  • 15.4.1. Business Overview
  • 15.4.2. Key Revenue and Financials
  • 15.4.3. Recent Developments
  • 15.4.4. Key Personnel/Key Contact Person
  • 15.4.5. Key Product/Services Offered
• 15.5. SAS Institute Inc.
  • 15.5.1. Business Overview
  • 15.5.2. Key Revenue and Financials
  • 15.5.3. Recent Developments
  • 15.5.4. Key Personnel/Key Contact Person
  • 15.5.5. Key Product/Services Offered
• 15.6. Acrolinx GmbH
  • 15.6.1. Business Overview
  • 15.6.2. Key Revenue and Financials
  • 15.6.3. Recent Developments
  • 15.6.4. Key Personnel/Key Contact Person
  • 15.6.5. Key Product/Services Offered
• 15.7. Curata, Inc.
  • 15.7.1. Business Overview
  • 15.7.2. Key Revenue and Financials
  • 15.7.3. Recent Developments
  • 15.7.4. Key Personnel/Key Contact Person
  • 15.7.5. Key Product/Services Offered
• 15.8. M-Files Corporation
  • 15.8.1. Business Overview
  • 15.8.2. Key Revenue and Financials
  • 15.8.3. Recent Developments
  • 15.8.4. Key Personnel/Key Contact Person
  • 15.8.5. Key Product/Services Offered
• 15.9. NewsCred, Inc.
  • 15.9.1. Business Overview
  • 15.9.2. Key Revenue and Financials
  • 15.9.3. Recent Developments
  • 15.9.4. Key Personnel/Key Contact Person
  • 15.9.5. Key Product/Services Offered
• 15.10. Vennli Inc.
  • 15.10.1. Business Overview
  • 15.10.2. Key Revenue and Financials
  • 15.10.3. Recent Developments
  • 15.10.4. Key Personnel/Key Contact Person
  • 15.10.5. Key Product/Services Offered
• 15.11. OneSpot Inc.
  • 15.11.1. Business Overview
  • 15.11.2. Key Revenue and Financials
  • 15.11.3. Recent Developments
  • 15.11.4. Key Personnel/Key Contact Person
  • 15.11.5. Key Product/Services Offered
• 15.12. Idio Ltd.
  • 15.12.1. Business Overview
  • 15.12.2. Key Revenue and Financials
  • 15.12.3. Recent Developments
  • 15.12.4. Key Personnel/Key Contact Person
  • 15.12.5. Key Product/Services Offered
• 15.13. Ceralytics Inc.
  • 15.13.1. Business Overview
  • 15.13.2. Key Revenue and Financials
  • 15.13.3. Recent Developments
  • 15.13.4. Key Personnel/Key Contact Person
  • 15.13.5. Key Product/Services Offered
• 15.14. Atomic Reach Inc.
  • 15.14.1. Business Overview
  • 15.14.2. Key Revenue and Financials
  • 15.14.3. Recent Developments
  • 15.14.4. Key Personnel/Key Contact Person
  • 15.14.5. Key Product/Services Offered

16. Strategic Recommendations

17. About Us & Disclaimer