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Contents 人工智能

市場調查報告書

商品編碼

1643091

內容情報：市場佔有率分析、產業趨勢與統計、成長預測（2025-2030 年）

Content Intelligence - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)

出版日期: 2025年01月05日 | 出版商:

Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

價格

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簡介目錄

內容智慧市場規模在 2025 年估計為 20.1 億美元，預計到 2030 年將達到 72.7 億美元，預測期內（2025-2030 年）的複合年成長率為 29.38%。

網際網路的發展和各行各業數位轉型技術的採用正在產生大量的資料。

主要亮點

此外，Adobe Inc. 的一項調查發現，一般人每天花在與數位內容互動的時間約為7.8小時，而青少年每天花在與數位內容互動的時間則高達11.1小時。此外，用戶對更個人化的內容的要求也越來越高。
現代負責人開始認知到提供有用內容的重要性和價值，以利用競爭對手不斷擴大的數位內容市場，從而導致集客式行銷等內容行銷策略佔據主導地位。
此外，內容行銷在過去幾年中經歷了各種轉變。向日益自動化的行銷分析的轉變正在推動使用先進技術的內容行銷策略的演變，從而推動對內容智慧的需求。
內容智慧為內容負責人提供必要的資料，以了解他們的受眾，制定他們的策略，並實現更高的投資報酬率。內容智慧使負責人能夠從產生的大量資料中獲得有價值的見解，使他們能夠做出資料主導的決策來創建更有效的內容。
本質上，內容智慧是由機器學習、自然語言處理、人工智慧和巨量資料等技術提供支援的，可以準確分析訊息，同時使重複任務更有效率、更有效。
例如，CI 工具 Concured 使用 AI 來預測網路上最熱門的話題並提案您接下來應該撰寫的內容。此外，Twitter、Facebook等平台上原創內容的社交參與度與主題相關聯並轉化為主題分數，為最終用戶提供創作新內容的機會。此外，它還依靠深度學習演算法來提供趨勢。

內容智慧市場趨勢

跨產業內容智慧的新興趨勢

隨著網路流量的增加，負責人現在正在考慮個人化等內容策略。個人化超越了基於用戶位置和人口統計的傳統內容行銷策略，也關注用戶行為和社交媒體活動等更高級的資訊。利用內容智慧等工具正在推動市場成長。例如，YouTube、Amazon Prime 和 Netflix 等媒體串流平台正在積極利用內容個人化來提高用戶參與度。
就像 Salesforce Desk 和 Zoho CRM 等 CRM 平台在各行業中不斷發展，以高效、有效地管理客戶關係一樣，越來越多的企業希望在這些平台上實施 AI 等技術，從而推動內容智慧市場的潛在成長。
例如，Content IQ 提取透過入站通訊產生的內容，並將相關資訊整合到下游流程並將其提供給面向消費者的系統。將內容快速轉化為可操作的資料，為員工提供全面的見解，同時保持客戶的聯繫。此外，存取聊天機器人和電子郵件等非結構化資料允許組織為客戶提供個人化服務。
此外，將內容智慧與商業智慧結合可以進一步增強業務決策，利用內容智慧的潛力分析現有業務內容（如合約、通訊、電子郵件等），以識別趨勢、機會和最佳化。
此外，內容智慧可以提前追蹤文件及其內容，利用提供的資料增加智慧見解，讓您更了解集合的完成情況，並有助於風險分析。

亞太地區佔主要市場佔有率

預計亞太地區將佔據內容智慧市場的大部分佔有率。由於人工智慧和基於機器學習的解決方案越來越被接受，該地區的內容智慧市場正在擴大。該地區的中小型企業正在採用這些解決方案來改進其內容行銷策略。
該州的多元化人口推動了對個人化內容的需求，人工智慧工具可以利用文字、照片、影片和音訊內容進行開發。這使得企業可以創建引人入勝且個人化的社群媒體貼文、廣告和標題。由於對人工智慧聊天機器人的需求不斷成長，內容智慧需求中的服務領域也在擴大。這些聊天機器人用於客戶服務，回答常見問題，提供產品推薦，節省企業時間，並改善使用者體驗。
此外，該地區蓬勃發展的電子商務行業正在利用人工智慧解決方案來提供個人化的產品推薦，提高搜尋準確性並增強用戶體驗。亞太地區對人工智慧和基於機器學習的技術的投資正在增加，政府和企業投入大量資金來改善其內容行銷策略並獲得競爭優勢。
推動印度廣告業成長的關鍵因素是該國快速的都市化、不斷成長的技術接受度、不斷成長的人口以及有利的地方政府法規。隨著尖端數位技術不斷湧現市場，印度廣告業可望達到新的高度。印度廣告業如今已成為一個重要的產業，目標是成為亞洲成長第二快的廣告市場。

內容智慧產業概覽

內容智慧市場分為 Adobe Inc.、Scoop.It、OpenText Corporation 和其他公司。供應商正在利用策略合作和收購作為競爭優勢來獲得市場佔有率並擴大影響力。

2023 年 3 月 - IBM 和 Adobe 合作協助行銷和創新公司最佳化其內容供應鏈。內容供應鏈將人員、流程、工具、見解和工作方式連接成整合的工作流程，為相關人員提供創建、管理、審查、部署和分析內容的端到端可視性。
2023 年 2 月－Adobe Experience Cloud 將增加 AI 功能以個人化數位體驗。 Adobe Sensei GenAI 是一個新的副駕駛，負責人和其他客戶經驗團隊可以在許多 Adobe Experience Cloud 應用程式中利用它來實現多種使用案例，包括整個客戶旅程中的資產創建和個人化。

其他福利

Excel 格式的市場預測 (ME) 表
3 個月的分析師支持

按組件
- 解決方案
- 服務
按配置
- 雲
- 本地
- 混合
按組織規模
- 中小型企業
- 大型企業
按最終用戶產業
- 媒體和娛樂
- 政府及公共機構
- BFSI
- 資訊科技和電訊
- 製造業
- 醫療保健和生命科學
- 零售
- 其他最終用戶產業
按地區
- 北美洲
  - 美國
  - 加拿大
- 歐洲
  - 德國
  - 英國
  - 法國
  - 其他歐洲國家
- 亞太地區
  - 印度
  - 中國
  - 日本
  - 其他亞太地區
- 拉丁美洲
- 中東和非洲

第6章競爭格局

公司簡介
- M-Files Corporation
- Adobe Inc.
- Scoop.it
- ABBYY
- OpenText Corporation
- Curata Inc.
- Socialbakers
- Concured
- Atomic Reach Inc.
- OneSpot Inc.
- Vennli Inc.
- Content360 Ltd
- Smartlogic

第7章投資分析

第8章市場機會與未來趨勢

簡介目錄

Product Code: 69652

The Content Intelligence Market size is estimated at USD 2.01 billion in 2025, and is expected to reach USD 7.27 billion by 2030, at a CAGR of 29.38% during the forecast period (2025-2030).

The growth of the internet and the adoption of digital transformation technologies across the industry are leading to the generation of an enormous volume of data.

Key Highlights

Also, research conducted by Adobe Inc states that the average person spends around 7.8 hours daily interacting with digital content, with teenagers reporting 11.1 hours daily. Furthermore, there also has been a trend with users demanding 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 transformations over the last few years. The shift towards marketing analytics to increase automation is leading the evolution of content marketing strategies leveraging advanced technologies, thereby initiating the demand for content intelligence.
Content Intelligence offers content marketers the data essential to understand the audience and help them strategize and prove higher ROI. It enables 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 efficiently and effectively 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 grab the most internet attention and suggest what the content should be written about next. Additionally, it correlates social engagements from platforms like 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.

Content Intelligence 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 market's growth. For instance, media streaming platforms such as Youtube, Amazon Prime, and Netflix actively use content personalization to increase user engagement.
As with the growth of CRM platforms such as Salesforce Desk and 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, 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 chatbots and email, organizations would provide personalized services to their customers.
Also, integrating 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, and emails, among others.
Furthermore, content intelligence would also help analyze 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 fraud.

Asia Pacific Holds Major Market Share

The Asia Pacific region is anticipated to hold a considerable share of the Content Intelligence market. The Content Intelligence market in the area is growing due to the growing acceptance of AI and ML-based solutions. SME-sized enterprises in the region are embracing these solutions to improve their content marketing strategies.
The province's diverse population is propelling the demand for personalized content, which AI tools can develop in text, pictures, videos, and audio content. This allows companies to create engaging and personalized social media posts, ads, and captions. The services segment within the Content Intelligence demand is also augmenting due to the rising demand for AI-powered chatbots. These chatbots are used for customer service, answering often-asked questions, providing product recommendations, saving the business time, and enhancing user experience.
Additionally, the rapidly growing e-commerce industry in the region is utilizing AI-powered solutions to generate personalized product recommendations, improve search accuracy, and enhance user experience. The Asia Pacific region is seeing increased investment in AI and ML-based technologies, with governments and businesses investing heavily to improve their content marketing strategies and gain a competitive edge.
The key factors propelling the Indian advertisement industry's growth are the country's rapid urbanization, increased technological acceptance, growing population, and favorable local government regulations. Due to the increased market emergence of cutting-edge digital technologies, the Indian advertising sector is poised to reach new heights. The now significant sector industry of advertising in India has its sights set on being Asia's second-fastest growing advertising market.

Content Intelligence Industry Overview

The content intelligence market is fragmented and consists of several major players, including Adobe Inc and Scoop. It, and OpenText Corporation. The vendors are enhancing their reach, leveraging strategic collaborative initiatives and acquisitions as a competitive advantage to capture market share.

March 2023 - IBM and Adobe collaborated to help marketing and creative firms optimize their content supply chains. The content supply chain creates, manages, reviews, deploys, and analyzes the content by linking people, processes, tools, insights, and working methods into a unified workflow and providing stakeholders with end-to-end visibility.
February 2023 - Adobe Experience Cloud includes additional AI features for personalizing digital encounters. Adobe Sensei GenAI is a new copilot for marketers and other customer experience teams to leverage across many Adobe Experience Cloud applications for several use cases, like asset creation and personalization across the customer journey.

Additional Benefits:

The market estimate (ME) sheet in Excel format
3 months of analyst support

1 INTRODUCTION

1.1 Study Assumptions and Market Definition
1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

4.1 Market Overview
4.2 Market Drivers
4.3 Market Restraints
4.4 Value Chain Analysis
4.5 Porter's Five Forces Analysis
- 4.5.1 Bargaining Power of Buyers/Consumers
- 4.5.2 Bargaining Power of Suppliers
- 4.5.3 Threat of New Entrants
- 4.5.4 Threat of Substitute Products
- 4.5.5 Intensity of Competitive Rivalry
4.6 Assesment of COVID-19 Impact on the Industry

5 MARKET SEGMENTATION

5.1 Component
- 5.1.1 Solution
- 5.1.2 Service
5.2 Deployment
- 5.2.1 Cloud
- 5.2.2 On-premise
- 5.2.3 Hybrid
5.3 Organization Size
- 5.3.1 Small- and Medium-Sized Enterprises
- 5.3.2 Large Enterprises
5.4 End-user Vertical
- 5.4.1 Media and Entertainment
- 5.4.2 Government and Public Sector
- 5.4.3 BFSI
- 5.4.4 IT and Telecom
- 5.4.5 Manufacturing
- 5.4.6 Healthcare and Lifesciences
- 5.4.7 Retail
- 5.4.8 Other End-user Verticals
5.5 Geography
- 5.5.1 North America
  - 5.5.1.1 United States
  - 5.5.1.2 Canada
- 5.5.2 Europe
  - 5.5.2.1 Germany
  - 5.5.2.2 United Kingdom
  - 5.5.2.3 France
  - 5.5.2.4 Rest of Europe
- 5.5.3 Asia-Pacific
  - 5.5.3.1 India
  - 5.5.3.2 China
  - 5.5.3.3 Japan
  - 5.5.3.4 Rest of Asia-Pacific
- 5.5.4 Latin America
- 5.5.5 Middle-East and Africa

6 COMPETITIVE LANDSCAPE

6.1 Company Profiles
- 6.1.1 M-Files Corporation
- 6.1.2 Adobe Inc.
- 6.1.3 Scoop.it
- 6.1.4 ABBYY
- 6.1.5 OpenText Corporation
- 6.1.6 Curata Inc.
- 6.1.7 Socialbakers
- 6.1.8 Concured
- 6.1.9 Atomic Reach Inc.
- 6.1.10 OneSpot Inc.
- 6.1.11 Vennli Inc.
- 6.1.12 Content360 Ltd
- 6.1.13 Smartlogic