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表紙：コンテンツインテリジェンスの世界市場：2023年～2030年
市場調査レポート
商品コード
1382524

コンテンツインテリジェンスの世界市場：2023年～2030年

Global Content Intelligence Market - 2023-2030
出版日: | 発行: DataM Intelligence | ページ情報: 英文 203 Pages | 納期: 約2営業日

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コンテンツインテリジェンスの世界市場：2023年～2030年
出版日: 2023年11月17日
発行: DataM Intelligence
ページ情報: 英文 203 Pages
納期: 約2営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
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  • 目次
概要

概要

世界のコンテンツインテリジェンス市場は、2022年に8億5,250万米ドルに達し、2023年～2030年の予測期間中にCAGR27.7%で成長し、2030年までに60億3,770万米ドルに達すると予測されます。

コンテンツインテリジェンス市場の成長は、顧客インサイトに対する需要の高まり、非構造化データの量の増加、人工知能（AI）および機械学習（ML）技術の採用の高まりによってもたらされています。コンテンツインテリジェンスソリューションは、顧客感情、製品フィードバック、市場動向など、企業がコンテンツからインサイトを抽出するのに役立ちます。これらの情報は、顧客体験の向上、マーケティングキャンペーンの最適化、より良いビジネス上の意思決定に利用できます。

非構造化データの増加も、コンテンツインテリジェンス市場の成長を後押ししています。非構造化データとは、テキスト、画像、動画など、あらかじめ定義された形式を持たないデータのことです。非構造化データからインサイトを抽出するのは難しいかもしれないが、コンテンツインテリジェンスソリューションは、それをより管理しやすくするのに役立ちます。AIやML技術の採用が増加していることも、市場の成長に寄与しています。AIとMLは、コンテンツから洞察を抽出するプロセスを自動化するために使用することができ、組織の時間とコストを節約することができます。

クラウドベースの展開は、市場シェアの半分以上を占めています。同様に、北米がコンテンツインテリジェンス市場を独占しており、5分の2以上の最大市場シェアを獲得しています。北米は新技術の開発と導入の主要拠点です。米国はモバイルの普及率が90％を超え、カナダがこれに続くため、コンテンツインテリジェンス市場が成長しています。

ダイナミクス

人工知能（AI）と機械学習（ML）技術の採用増加

AIとMLは、コンテンツからインサイトを抽出するプロセスの自動化に利用でき、組織の時間とコストを削減できます。顧客感情、製品フィードバック、市場動向など、コンテンツからインサイトを抽出するプロセスを自動化するために使用できます。このようなデータを手作業で分析する必要がなくなるため、組織は時間とコストを大幅に節約できます。

全体として、AIとML技術の採用の増加は、コンテンツから洞察を抽出するプロセスを自動化し、洞察の精度を向上させ、洞察の範囲を拡大することによって、コンテンツインテリジェンス市場を支援しています。例えば、Adobe Senseiは、コンテンツからインサイトを抽出するプロセスを自動化するために使用できるAIおよびMLツール群です。Senseiはテキスト、画像、動画の分析に使用でき、人間には見えない動向、パターン、洞察を特定できます。

増大する非構造化データ

非構造化データとは、テキスト、画像、動画など、あらかじめ定義された形式を持たないデータのことです。非構造化データから洞察を抽出するのは困難ですが、コンテンツインテリジェンスソリューションがあれば、より管理しやすくなります。非構造化データの増大は、コンテンツインテリジェンスソリューションの必要性を生み出しています。組織は、このデータから洞察を引き出すために、このデータを管理・分析する方法を見つける必要があります。

全体として、非構造化データの増大は、コンテンツインテリジェンスソリューションのニーズを生み出し、コンテンツインテリジェンスソリューションの技術革新を促進し、コンテンツインテリジェンスソリューションの利用範囲を拡大することで、コンテンツインテリジェンス市場を支援しています。キーワード抽出は、テキスト内の重要なキーワードを特定するプロセスです。検索エンジン最適化（SEO）の改善や、コンテンツに含まれる重要なメッセージの特定に利用できます。技術の開発が進むにつれ、非構造化データを管理し、そこから洞察を引き出すためにコンテンツインテリジェンスソリューションを使用する革新的な方法が、今後さらに増えていくことが予想されます。

データのプライバシーとセキュリティへの懸念

コンテンツインテリジェンスソリューションは多くのデータを収集・分析するため、データプライバシーとセキュリティに関する懸念が生じる可能性があります。組織は、このデータの使用方法と、不正アクセスからの保護方法に注意する必要があります。コンテンツインテリジェンスソリューションは、ユーザーの行動を追跡し、個人情報を収集するために使用される可能性があります。これらの情報は、組織やサードパーティベンダーによって悪用される可能性があります。

組織は、コンテンツインテリジェンスソリューションによって収集されたデータの使用方法について、明確かつ透明性を確保する必要があります。情報は、ユーザーが簡単にアクセスでき、ユーザーが理解できる平易な言語でなければならないです。コンテンツインテリジェンスベンダーは、こうした措置を講じることで、世界のコンテンツインテリジェンス市場の足かせとなっているデータプライバシーとセキュリティの懸念に対処することができます。

コンテンツインテリジェンスソリューションの複雑さ

コンテンツインテリジェンスソリューションは、導入と利用が複雑であるため、組織によっては導入の障壁となることがあります。コンテンツインテリジェンスソリューションの導入と利用には専門的なスキルが必要です。組織にとって、この作業に適した人材を見つけ、雇用することが困難になる可能性があります。ソリューションが適切に機能していることを確認するために、継続的な監視と保守が必要であり、この作業を行うリソースを持たない組織にとっては課題となります。

この問題に対処するため、さまざまなコンテンツインテリジェンスプロバイダーが組織と協力して、ソリューションに必要なデータを収集・準備しています。そうすることで、組織はこれらのソリューションの利用を開始しやすくなります。コンテンツインテリジェンスプロバイダーは、自社のソリューションを他のシステムと統合しやすくするオープンAPI統合を開発することができます。これによって、組織はこれらのソリューションを利用しやすくなります。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 人工知能（AI）と機械学習（ML）技術の採用拡大
      • 非構造化データ量の増加
    • 抑制要因
      • データのプライバシーとセキュリティに関する懸念
      • コンテンツインテリジェンスソリューションの複雑さ
    • 機会
    • 影響分析

第5章 業界分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • ロシア・ウクライナ戦争の影響分析
  • DMI意見

第6章 COVID-19分析

第7章 コンポーネント別

  • ソリューション
  • サービス

第8章 展開別

  • クラウドベース
  • オンプレミス

第9章 組織規模別

  • 大企業
  • 中小企業（SMEs）

第10章 エンドユーザー別

  • BFSI
  • IT・通信
  • 教育
  • メディア・エンターテインメント
  • ヘルスケア
  • その他

第11章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • ロシア
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋地域
  • 中東・アフリカ

第12章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第13章 企業プロファイル

  • Emplifi Inc.
    • 会社概要
    • 製品ポートフォリオと説明
    • 財務概要
    • 主な発展
  • OpenText Corp.
  • Microsoft Corporation
  • Adobe Inc.
  • M-Files
  • Curata, Inc.
  • Concured
  • Acrolinx GmbH
  • Progress Software Corporation
  • Knotch, Inc.

第14章 付録

目次
Product Code: ICT7438

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

Table of Contents

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

14. Appendix

  • 14.1. About Us and Services
  • 14.2. Contact Us