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市場調查報告書

商品編碼

1382524

全球內容智慧市場 - 2023-2030

Global Content Intelligence Market - 2023-2030

出版日期: 2023年11月17日 | 出版商:

DataM Intelligence | 英文 203 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

概述

全球內容智慧市場在 2022 年達到 8.525 億美元，預計到 2030 年將達到 60.377 億美元，2023-2030 年預測期間CAGR為 27.7%。

內容智慧市場的成長是由對客戶洞察的需求不斷成長、非結構化資料量不斷增加以及人工智慧 (AI) 和機器學習 (ML) 技術的日益採用所推動的。內容智慧解決方案可協助組織從其內容中提取見解，例如客戶情緒、產品回饋和市場趨勢。這些資訊可用於改善客戶體驗、最佳化行銷活動並做出更好的業務決策。

非結構化資料量的增加也推動了內容智慧市場的成長。非結構化資料是沒有預先定義格式的資料，例如文字、圖像和影片。從非結構化資料中提取見解可能很困難，但內容智慧解決方案可以幫助使其更易於管理。人工智慧和機器學習技術的日益普及也促進了市場的成長。人工智慧和機器學習可用於自動化從內容中提取見解的過程，這可以節省組織的時間和金錢。

基於雲端的部署佔據了一半以上的市場。同樣，北美在內容情報市場上佔據主導地位，佔據了超過 2/5 的最大市場佔有率。北美是開發和採用新技術的主要中心。美國的行動普及率超過 90%，其次是加拿大，導致內容智慧市場成長。

動力學

人工智慧 (AI) 和機器學習 (ML) 技術的採用率不斷上升

人工智慧和機器學習可用於自動化從內容中提取見解的過程，這可以節省組織的時間和金錢。它可用於自動化從內容中提取見解的過程，例如客戶情緒、產品回饋和市場趨勢。它可以為組織節省大量時間和金錢，因為他們不再需要手動分析這些資料。

總體而言，人工智慧和機器學習技術的日益普及正在透過自動化從內容中提取見解的過程、提高見解的準確性並擴大見解的範圍來幫助內容智慧市場。例如，Adobe Sensei 是一套人工智慧和機器學習工具，可用於自動化從內容中提取見解的過程。 Sensei 可用於分析文字、圖像和影片，它可以識別人類不可見的趨勢、模式和見解。

非結構化資料量不斷成長

非結構化資料是沒有預先定義格式的資料，例如文字、圖像和影片。從非結構化資料中提取見解可能很困難，但內容智慧解決方案可以幫助使其更易於管理。非結構化資料量的不斷成長催生了對內容智慧解決方案的需求。組織需要找到管理和分析這些資料的方法，以便從中獲取見解。

總體而言，不斷成長的非結構化資料透過創造對內容智慧解決方案的需求、推動內容智慧解決方案的創新並擴大內容智慧解決方案的範圍來幫助內容智慧市場。關鍵字提取是辨識一段文本中重要關鍵字的過程。它可用於改善搜尋引擎最佳化 (SEO) 並識別內容中的關鍵資訊。隨著技術的不斷發展，我們預計未來將看到更多創新的方法來使用內容智慧解決方案來管理非結構化資料並從中提取見解。

資料隱私和安全問題

內容智慧解決方案收集和分析大量資料，這可能會引發資料隱私和安全問題。組織需要謹慎對待如何使用這些資料以及如何保護其免受未經授權的存取。內容智慧解決方案可用於追蹤使用者行為並收集個人資訊。這些資訊可能會被組織或第三方供應商濫用。

組織需要清楚、透明地了解如何使用內容智慧解決方案所收集的資料。這些資訊應該易於用戶訪問，並且應該採用用戶可以理解的簡單語言。透過採取這些步驟，內容智慧供應商可以協助解決限制全球內容智慧市場的資料隱私和安全問題。

內容智慧解決方案的複雜性

內容智慧解決方案的實施和使用都很複雜，這可能成為某些組織採用的障礙。內容智慧解決方案需要專門的技能來實施和使用。這可能會讓組織很難找到並僱用合適的人來完成這項工作。需要持續監控和維護解決方案，以確保它們正常運作。對於沒有資源來完成這項工作的組織來說，這可能是一個挑戰。

為了解決這個問題，各種內容情報提供者與組織合作收集和準備其解決方案所需的資料。這將使組織更容易開始使用這些解決方案。內容智慧提供者可以開發開放 API 整合，從而更輕鬆地將其解決方案與其他系統整合。這將使組織更容易使用這些解決方案。

Overview

Global Content Intelligence Market reached US$ 852.5 million in 2022 and is expected to reach US$ 6037.7 million by 2030, growing with a CAGR of 27.7% during the forecast period 2023-2030.

The growth of the content intelligence market is being driven by the increasing demand for customer insights, the growing volume of unstructured data and the rising adoption of artificial intelligence (AI) and machine learning (ML) technologies. Content intelligence solutions help organizations to extract insights from their content, such as customer sentiment, product feedback and market trends. The information can be used to improve customer experience, optimize marketing campaigns and make better business decisions.

The increasing volume of unstructured data is also driving the growth of the content intelligence market. Unstructured data is data that does not have a predefined format, such as text, images and videos. It can be difficult to extract insights from unstructured data, but content intelligence solutions can help to make it more manageable. The rising adoption of AI and ML technologies is also contributing to the growth of the market. AI and ML can be used to automate the process of extracting insights from content, which can save organizations time and money.

The cloud-based deployment, accounts for over half of the market share. Similarly, North America dominates the content intelligence market, capturing the largest market share of over 2/5th. North America is a major hub for the development and adoption of new technologies. The US has more than 90% mobile penetration, followed by Canada, resulting in the content intelligence market growth.

Dynamics

Rising Adoption of artificial intelligence (AI) and machine learning (ML) technologies

AI and ML can be used to automate the process of extracting insights from content, which can save organizations time and money. It can be used to automate the process of extracting insights from content, such as customer sentiment, product feedback and market trends. It can save organizations a lot of time and money, as they no longer need to manually analyze this data.

Overall, the rising adoption of AI and ML technologies is helping the content intelligence market by automating the process of extracting insights from content, improving the accuracy of insights and expanding the scope of insights. For example, Adobe Sensei is a suite of AI and ML tools that can be used to automate the process of extracting insights from content. Sensei can be used to analyze text, images and videos and it can identify trends, patterns and insights that would not be visible to humans.

Growing Volume of Unstructured Data

Unstructured data is data that does not have a predefined format, such as text, images and videos. It can be difficult to extract insights from unstructured data, but content intelligence solutions can help to make it more manageable. The growing volume of unstructured data is creating a need for content intelligence solutions. Organizations need to find ways to manage and analyze this data in order to extract insights from it.

Overall, the growing volume of unstructured data is helping the content intelligence market by creating a need for content intelligence solutions, driving innovation in content intelligence solutions and expanding the reach of content intelligence solutions. Keyword extraction is the process of identifying the important keywords in a piece of text. It can be used to improve search engine optimization (SEO) and to identify the key messages in a piece of content. As the technology continues to develop, we can expect to see even more innovative ways to use content intelligence solutions to manage unstructured data and extract insights from it in the future.

Data privacy and security concerns

Content intelligence solutions collect and analyze a lot of data, which can raise data privacy and security concerns. Organizations need to be careful about how they use this data and how they protect it from unauthorized access. Content intelligence solutions can be used to track user behavior and collect personal information. The information could be misused by organizations or third-party vendors.

Organizations need to be clear and transparent about how they use the data collected by content intelligence solutions. The information should be easily accessible to users and should be in plain language that users can understand. By taking these steps, content intelligence vendors can help to address the data privacy and security concerns that are restraining the global content intelligence market.

Complexity of content intelligence solutions

Content intelligence solutions are complex to implement and use, which can be a barrier to adoption for some organizations. Content intelligence solutions require specialized skills to implement and use. It can make it difficult for organizations to find and hire the right people to do this work. The solutions need to be continuously monitored and maintained to ensure that they are working properly. It can be a challenge for organizations that do not have the resources to do this work.

To address this issue, various content intelligence providers work with organizations to collect and prepare the data needed for their solutions. It will make it easier for organizations to get started with these solutions. Content intelligence providers can develop open API integrations that make it easier to integrate their solutions with other systems. It will make it easier for organizations to use these solutions.

Segment Analysis

The global content intelligence market is segmented based on component, deployment, organization size, end-user and region.

Scalability, Ease of deployment and management

Cloud-based content intelligence solutions are hosted on the cloud, which makes them more scalable and flexible than on-premises solutions. It is also easier to deploy and manage, which makes them a good option for small and medium enterprises (SMEs). Cloud-based content intelligence solutions are scalable, which means that they can be easily scaled up or down to meet the needs of an organization. The is important for organizations that have fluctuating data volumes or that need to be able to handle spikes in traffic.

These solutions are often more cost-effective than on-premises solutions. The is because organizations do not need to invest in hardware and software and they only pay for the services that they use. For example, OpenText is a leading provider of enterprise information management (EIM) solutions. Its cloud-based content intelligence solutions include OpenText™ Content Insights, which can be used to extract insights from content.

Geographical Penetration

Increasing Demand for customer insights and focus on compliance

North America has been leading the global content intelligence market. The region is home to a number of leading content intelligence vendors, such as Adobe, IBM, OpenText and Scoop.it. The companies are investing in research and development to develop new and innovative content intelligence solutions. North American companies are increasingly focused on compliance with regulations, such as the General Data Protection Regulation (GDPR). Content intelligence solutions can help businesses comply with these regulations by providing insights into how their data is being used.

Companies are looking for ways to better understand their customers and their needs. Content intelligence solutions can help businesses extract insights from their content, such as customer sentiment, product feedback and market trends. The information can be used to improve customer experience, optimize marketing campaigns and make better business decisions. For example, Microsoft Corporation is one of the leading providers of cloud computing solutions. Its cloud-based content intelligence solutions include Microsoft Azure Cognitive Services, which can be used to extract insights from content. As the content intelligence market continues to grow, we can expect to see even more companies offering content intelligence solutions in the region.

COVID-19 Impact Analysis

The COVID-19 pandemic has had a significant impact on the content intelligence market. The pandemic has forced many businesses to adopt remote work arrangements. The has created a need for content intelligence solutions that can be used to manage and analyze content in a remote environment. The COVID-19 outbreak has created a need for real-time insights into customer behavior and market trends. Content intelligence solutions can help businesses collect and analyze data in real time to make better decisions.

The COVID-19 pandemic has also created a need for compliance with regulations, such as the General Data Protection Regulation (GDPR). Content intelligence solutions can help businesses comply with these regulations by providing insights into how their data is being used. The pandemic has accelerated the adoption of digital technologies and this trend is expected to continue in the post-pandemic era. Content intelligence solutions are becoming increasingly important for businesses to manage and analyze their digital content.

Russia-Ukraine War Impact Analysis

The Russia-Ukraine war is expected to have a significant impact on the content intelligence market. The war has created a lot of uncertainty and volatility in the market and this is likely to lead to increased demand for content intelligence solutions. The war has created a need for businesses to have real-time insights into the situation. Content intelligence solutions can help businesses collect and analyze data in real-time to make better decisions.

Content intelligence solutions can be used to track and analyze social media data to identify trends and sentiments related to the war. The information can be used to make better decisions about how to communicate with stakeholders and the public. The solutions can be used to protect against cyberattacks. It can be done by identifying and mitigating threats, such as phishing attacks and malware. As the war continues, we can expect to see even more innovative ways to use these solutions.

By Component

Solutions
Services

By Deployment

Cloud Based
On-premise

By Organization Size

Large Enterprises
Small and Medium Enterprises (SMEs)

By End-User

BFSI
IT and Telecommunications
Education
Media And Entertainment
Healthcare
Others

By Region

North America
- U.S.
- Canada
- Mexico
Europe
- Germany
- UK
- France
- Italy
- Russia
- Rest of Europe
South America
- Brazil
- Argentina
- Rest of South America
Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific
Middle East and Africa

Key Developments

On August 24, 2023, OpenText announced an expansion of its partnership with Google Cloud to deliver AI-powered integrations that will help organizations unlock the power of their data on Google Cloud to their competitive advantage. The co-innovation of OpenText's information management solutions and Google Cloud's AI capabilities will accelerate how organizations of all sizes surface insights quickly, boost productivity and transform customer experiences.
On May 23, 2023, Microsoft Corporation unveiled a wide range of new features for its Power Platform, aimed at revolutionizing app development and empowering professional and citizen developers with low-code technologies.
On August 24, 2023, Emplifi has received the "Influencer Marketing Innovation Award" in the 6th annual MarTech Breakthrough Awards program conducted by MarTech Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies and products in the global marketing, sales and advertising technology industry.

Competitive Landscape

The major global players in the content intelligence market include: Emplifi Inc., OpenText Corp., Microsoft Corporation, Adobe Inc., M-Files, Curata, Inc., Concured, Acrolinx GmbH, Progress Software Corporation and Knotch, Inc.

Why Purchase the Report?

To visualize the global content intelligence market segmentation based on component, deployment, organization size, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of content intelligence market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global content intelligence market report would provide approximately 69 tables, 67 figures and 203 Pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Component
3.2. Snippet by Deployment
3.3. Snippet by Organization Size
3.4. Snippet by End-User
3.5. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Rising Adoption of artificial intelligence (AI) and machine learning (ML) Technologies
  - 4.1.1.2. Growing Volume of Unstructured Data
- 4.1.2. Restraints
  - 4.1.2.1. Data Privacy and Security Concerns
  - 4.1.2.2. Complexity of content intelligence solutions
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Component

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 7.1.2. Market Attractiveness Index, By Component
7.2. Solutions*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Services

8. By Deployment

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 8.1.2. Market Attractiveness Index, By Deployment
8.2. Cloud Based*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. On-premise

9. By Organization Size

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 9.1.2. Market Attractiveness Index, By Organization Size
9.2. Large Enterprises*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Small and Medium Enterprises (SMEs)

10. By End-User

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.1.2. Market Attractiveness Index, By End-User
10.2. BFSI*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. IT and Telecommunications
10.4. Education
10.5. Media and Entertainment
10.6. Healthcare
10.7. Others

11. By Region

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 11.1.2. Market Attractiveness Index, By Region
11.2. North America
- 11.2.1. Introduction
- 11.2.2. Key Region-Specific Dynamics
- 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.2.7.1. U.S.
  - 11.2.7.2. Canada
  - 11.2.7.3. Mexico
11.3. Europe
- 11.3.1. Introduction
- 11.3.2. Key Region-Specific Dynamics
- 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.3.7.1. Germany
  - 11.3.7.2. UK
  - 11.3.7.3. France
  - 11.3.7.4. Italy
  - 11.3.7.5. Russia
  - 11.3.7.6. Rest of Europe
11.4. South America
- 11.4.1. Introduction
- 11.4.2. Key Region-Specific Dynamics
- 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.4.7.1. Brazil
  - 11.4.7.2. Argentina
  - 11.4.7.3. Rest of South America
11.5. Asia-Pacific
- 11.5.1. Introduction
- 11.5.2. Key Region-Specific Dynamics
- 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.5.7.1. China
  - 11.5.7.2. India
  - 11.5.7.3. Japan
  - 11.5.7.4. Australia
  - 11.5.7.5. Rest of Asia-Pacific
11.6. Middle East and Africa
- 11.6.1. Introduction
- 11.6.2. Key Region-Specific Dynamics
- 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

12. Competitive Landscape

12.1. Competitive Scenario
12.2. Market Positioning/Share Analysis
12.3. Mergers and Acquisitions Analysis

13. Company Profiles

13.1. Emplifi Inc. *
- 13.1.1. Company Overview
- 13.1.2. Product Portfolio and Description
- 13.1.3. Financial Overview
- 13.1.4. Key Developments
13.2. OpenText Corp.
13.3. Microsoft Corporation
13.4. Adobe Inc.
13.5. M-Files
13.6. Curata, Inc.
13.7. Concured
13.8. Acrolinx GmbH
13.9. Progress Software Corporation
13.10. Knotch, Inc.

LIST NOT EXHAUSTIVE