エモーションAIソフトウェア市場レポート：2031年までの動向、予測、競合分析

世界のエモーションAIソフトウェア市場の将来性は、大企業と中小企業市場に機会がありそうです。世界のエモーションAIソフトウェア市場は、2025年から2031年にかけてCAGR 12.8％で成長すると予測されています。この市場の主な促進要因は、パーソナライズされた顧客体験に対する需要の高まりと、ヘルスケアとメンタルヘルスにおけるこの技術の採用の高まりです。

• Lucintel社は、タイプ別ではオンプレミスが予測期間中に高い成長を遂げると予測しています。
• アプリケーション別では、大企業が引き続き大きなセグメントです。
• 地域別では、北米が予測期間中に最も高い成長を遂げる見込みです。

エモーションAIソフトウェア市場の戦略的成長機会

エモーションAIソフトウェア市場は、主要なアプリケーションにおいていくつかの戦略的成長機会を提示しています。これらの機会は、感情認識技術がイノベーションを促進し、さまざまな分野で価値を生み出す可能性を反映しています。

• カスタマーサービスとサポートエモーションAIは、リアルタイムの感情的洞察を提供することにより、顧客サービスを強化する機会を提供します。企業はこの技術を利用して、対応を調整し、顧客満足度を向上させ、より効果的に問題に対処することができます。顧客の感情を理解する能力は、よりパーソナライズされた効率的なサポートにつながります。
• ヘルスケアとメンタルヘルス：ヘルスケアでは、エモーションAIは感情的な幸福をモニターし、メンタルヘルス状態のサポートを提供するために活用できます。アプリケーションには、バーチャル・セラピー、患者のモニタリング、感情的苦痛の早期発見などが含まれます。この成長機会は、メンタルヘルスと個別ケアへの注目の高まりを反映しています。
• 自動車産業：自動車産業は、エモーションAIを活用して運転支援システムと車内体験を強化できます。その機会には、ドライバーの状態のモニタリング、車内環境のカスタマイズ、安全機能の向上などが含まれます。感情認識技術の統合は、より快適で安全な運転体験につながります。
• 教育とトレーニング：エモーションAIは、パーソナライズされた学習体験を提供することで、教育やトレーニングに革命をもたらす可能性を秘めています。生徒の感情的な反応を分析することで、教育者は教育方法や内容をより個人のニーズに合うように適応させることができます。この機会は、エンゲージメントと学習成果の向上を目指します。
• エンターテインメントとメディア：エモーションAIは、エンターテイメントやメディアにおいて、より没入感のあるインタラクティブな体験を生み出すために利用できます。この機会には、パーソナライズされたコンテンツの推奨、応答性の高いゲーム環境、視聴者のエンゲージメントの強化などが含まれます。このテクノロジーは、よりカスタマイズされた魅力的なメディア体験を可能にします。

このような戦略的成長機会は、エモーションAIソフトウェアの多様な応用と、様々な分野でのイノベーションを促進する可能性を浮き彫りにしています。カスタマーサービス、ヘルスケア、自動車、教育、エンターテインメントに焦点を当てることで、利害関係者は新たな動向を活用し、進化する市場で価値を創造することができます。

エモーションAIソフトウェア市場促進要因・課題

エモーションAIソフトウェア市場は、技術的進歩、経済要因、規制上の考慮事項を含む様々な促進要因・課題によって影響を受けます。これらの市場促進要因・課題を理解することは、市場をナビゲートし、機会を活用するために不可欠です。

エモーションAIソフトウェア市場を牽引する要因は以下の通りです：

• 技術の進歩：人工知能と機械学習の進歩がエモーションAIソフトウェアの成長を促進しています。アルゴリズムと処理能力の向上により感情認識の精度が高まり、分野横断的な用途が拡大しています。これらの技術の継続的な開発は、イノベーションと採用を促進しています。
• パーソナライズされた体験に対する需要の増加：カスタマーサービス、ヘルスケア、エンターテインメントにおいて、パーソナライズされた体験に対する需要が高まっています。エモーションAIにより、企業は感情的な洞察に基づいて対話やサービスを調整できるようになり、顧客満足度とエンゲージメントの向上につながります。この需要は市場成長の重要な促進要因です。
• 新興テクノロジーとの統合：エモーションAIと仮想現実、拡張現実、モノのインターネットなどの技術との統合が新たな機会を生み出しています。この相乗効果によりユーザー体験が向上し、多様なアプリケーションにおける感情認識技術の採用が促進されます。
• メンタルヘルスに対する意識の高まり：メンタルヘルスに対する認識と関心の高まりが、ヘルスケアにおけるエモーションAIの採用を後押ししています。感情の幸福をモニターしサポートする技術が支持を集め、メンタルヘルスケアと患者サポートの革新につながっています。このような注目の高まりは、市場の重要な促進要因となっています。
• 家電製品の拡大：スマートフォンやスマートホームデバイスなどの家電製品へのエモーションAIの統合は、新たな市場機会を生み出しています。インテリジェントで応答性の高い機器に対する消費者の需要が高まるにつれ、これらの製品への感情認識技術の採用が増加しています。

エモーションAIソフトウェア市場の課題は以下の通りです：

• データ・プライバシーとセキュリティへの懸念：データ・プライバシーとセキュリティに関する懸念は、エモーションAI市場にとって重要な課題です。デリケートな感情データの保護を確保し、GDPRなどの規制を遵守することは、市場プレーヤーにとって極めて重要です。これらの懸念に対処することは、消費者の信頼を得るために不可欠です。
• 倫理とバイアスの問題：感情認識アルゴリズムにおける倫理的配慮と潜在的なバイアスが課題となります。感情検出における公平性の確保とバイアスの回避は、倫理基準とユーザーの信頼を維持する上で極めて重要です。偏りのない倫理的なAIシステムの開発は、業界にとって重要な課題です。
• 規制遵守：複雑で進化する規制状況を乗り切ることは、エモーションAI企業にとって課題です。データ保護、プライバシー、AI倫理に関連する規制を遵守するには、継続的な努力と適応が必要です。規制遵守は市場運営や開発戦略に影響を与えます。

エモーションAIソフトウェア市場を形成する市場促進要因・課題は、技術的・経済的・規制的要因の複雑な相互作用を反映しています。技術の進歩、パーソナライゼーションへの需要、新興技術との統合、メンタルヘルスへの認識、家電製品の拡大が成長を促進しています。しかし、データプライバシー、倫理的問題、規制遵守は大きな課題となっています。これらの力学を理解することは、利害関係者が市場を効果的にナビゲートし、機会を活用する上で極めて重要です。

目次

第1章 エグゼクティブサマリー

第2章 世界のエモーションAIソフトウェア市場：市場力学

• イントロダクション、背景、分類
• サプライチェーン
• 業界の促進要因と課題

第3章 2019年から2031年までの市場動向と予測分析

• マクロ経済動向（2019～2024年）と予測（2025～2031年）
• 世界のエモーションAIソフトウェア市場の動向（2019～2024年）と予測（2025～2031年）
• タイプ別、エモーションAIソフトウェア市場
  • オンプレミス
  • クラウドベース
• アプリケーション別、エモーションAIソフトウェアの世界市場
  • 大企業
  • 中小企業

第4章 2019年から2031年までの地域別市場動向と予測分析

• 地域別のエモーションAIソフトウェア市場
• 北米のエモーションAIソフトウェア市場
• 欧州のエモーションAIソフトウェア市場
• アジア太平洋のエモーションAIソフトウェア市場
• その他地域のエモーションAIソフトウェア市場

第5章 競合分析

• 製品ポートフォリオ分析
• 運用統合
• ポーターのファイブフォース分析

第6章 成長機会と戦略分析

• 成長機会分析
  • タイプ別の世界のエモーションAIソフトウェア市場の成長機会
  • アプリケーション別の世界のエモーションAIソフトウェア市場の成長機会
  • 地域別の世界のエモーションAIソフトウェア市場の成長機会
• 世界のエモーションAIソフトウェア市場の新たな動向
• 戦略分析
  • 新製品開発
  • 世界のエモーションAIソフトウェア市場の能力拡大
  • 世界のエモーションAIソフトウェア市場における合併、買収、合弁事業
  • 認証とライセンシング

第7章 主要企業の企業プロファイル

• Clarabridge
• OpenText
• SAP
• SAS
• Basis Technology
• Linguamatics
• Expert System

The future of the global emotion AI software market looks promising with opportunities in the large enterprise and SME markets. The global emotion AI software market is expected to grow with a CAGR of 12.8% from 2025 to 2031. The major drivers for this market are the increasing demand for personalized customer experiences and the rising adoption of this technology in healthcare and mental health.

• Lucintel forecasts that, within the type category, on-premise is expected to witness higher growth over the forecast period.
• Within the application category, large enterprises will remain the larger segment.
• In terms of regions, North America is expected to witness the highest growth over the forecast period.

Gain valuable insights for your business decisions with our comprehensive 150+ page report.

Emerging Trends in the Emotion AI Software Market

The emotion AI software market is evolving with several emerging trends that shape its future. These trends reflect advancements in technology, changing consumer expectations, and new applications across diverse sectors. Understanding these trends is crucial for stakeholders who aim to leverage emotion AI effectively.

• Integration with Multimodal AI Systems: Emotion AI is increasingly being integrated with multimodal AI systems that combine voice, facial, and physiological data to enhance emotion detection accuracy. This integration allows for a more nuanced understanding of human emotions and improves applications in areas such as virtual assistants and customer service. By analyzing multiple data streams, these systems can provide more contextually relevant responses and enhance user engagement.
• Focus on Ethical AI and Privacy: There is a growing emphasis on ethical AI practices and data privacy in the emotion AI market. Companies are implementing stricter data protection measures and ensuring transparency in how emotional data is used. This trend is driven by regulatory requirements and consumer demand for privacy, leading to the development of more secure and ethical emotion AI solutions.
• Expansion into Healthcare and Wellness: Emotion AI is making significant inroads into healthcare and wellness applications. Technologies are being developed to monitor emotional states for mental health support and to enhance patient care. This trend reflects the growing recognition of the importance of emotional well-being in overall health and drives innovations in therapeutic tools and remote patient monitoring systems.
• Adoption in the Automotive Industry: The automotive sector is increasingly adopting emotion AI to enhance driver assistance systems and in-car experiences. Emotion recognition technology is used to monitor driver states, provide alerts for drowsiness, and customize in-car environments based on emotional feedback. This trend aims to improve safety, comfort, and overall driving experiences.
• Enhanced Customer Experience and Personalization: Emotion AI is being leveraged to create highly personalized customer experiences in retail and entertainment industries. By analyzing customer emotions and preferences, businesses can tailor their interactions and offerings to individual needs, improving satisfaction and engagement. This trend is driven by the demand for more personalized and responsive services.

These emerging trends significantly reshape the emotion AI software market. Integration with multimodal systems, a focus on ethical AI, expansion into healthcare, adoption in the automotive industry, and enhanced personalization drive the evolution of emotion recognition technologies. As these trends continue to develop, they create new opportunities and challenges, influencing how emotion AI is used across various sectors.

Recent Developments in the Emotion AI Software Market

Recent developments in the emotion AI software market highlight advancements in technology, new applications, and evolving regulatory landscapes. These developments reflect the growing importance of emotion recognition and its integration into diverse sectors.

• Advanced Emotion Recognition Algorithms: Recent advancements include the development of more sophisticated emotion recognition algorithms that improve accuracy and reliability. These algorithms use deep learning and neural networks to analyze facial expressions, voice tones, and physiological signals, leading to more precise emotion detection. The improved accuracy enhances applications in customer service, healthcare, and entertainment.
• Integration with Virtual and Augmented Reality: Emotion AI software is being integrated into virtual reality (VR) and augmented reality (AR) platforms to create immersive experiences. This integration allows for real-time emotion tracking and responsive environments, enhancing user engagement in gaming, training, and therapy. The synergy between emotion AI and VR/AR expands possibilities for interactive and personalized experiences.
• Expansion in Consumer Electronics: Emotion AI is being increasingly incorporated into consumer electronics, such as smartphones and smart home devices. This integration enables devices to respond to users emotional states, providing personalized interactions and improving user satisfaction. The trend reflects a broader move towards more intelligent and responsive consumer technology.
• Growth of Emotion AI Startups: The market witnesses a rise in startups focused on developing innovative emotion AI solutions. These startups explore new applications and technologies, driving competition and accelerating advancements. Their contributions expand the range of emotion AI applications and foster collaboration with established players in the industry.
• Regulatory and Ethical Developments: There are ongoing developments in regulations and ethical guidelines surrounding emotion AI. Governments and organizations work on frameworks to address privacy concerns and ensure the ethical use of emotion recognition technologies. These developments shape how companies deploy emotion AI and influence market dynamics.

These recent developments significantly impact the emotion AI software market by advancing technology, expanding applications, and influencing regulatory practices. The growth of advanced algorithms, integration with VR/AR, expansion in consumer electronics, the emergence of startups, and evolving regulations drive innovation and shape the future of emotion AI.

Strategic Growth Opportunities for Emotion AI Software Market

The emotion AI software market presents several strategic growth opportunities across key applications. These opportunities reflect the potential for emotion recognition technologies to drive innovation and create value in various sectors.

• Customer Service and Support: Emotion AI offers opportunities to enhance customer service by providing real-time emotional insights. Businesses can use this technology to tailor responses, improve customer satisfaction, and address issues more effectively. The ability to understand customer emotions leads to more personalized and efficient support.
• Healthcare and Mental Health: In healthcare, emotion AI can be utilized to monitor emotional well-being and provide support for mental health conditions. Applications include virtual therapy, patient monitoring, and early detection of emotional distress. This growth opportunity reflects the increasing focus on mental health and personalized care.
• Automotive Industry: The automotive sector can leverage emotion AI to enhance driver assistance systems and in-car experiences. Opportunities include monitoring driver states, customizing in-car environments, and improving safety features. Integrating emotion recognition technology can lead to a more comfortable and safer driving experience.
• Education and Training: Emotion AI has the potential to revolutionize education and training by providing personalized learning experiences. By analyzing students emotional responses, educators can adapt teaching methods and content to better meet individual needs. This opportunity aims to enhance engagement and learning outcomes.
• Entertainment and Media: Emotion AI can be used to create more immersive and interactive experiences in entertainment and media. Opportunities include personalized content recommendations, responsive gaming environments, and enhanced viewer engagement. The technology allows for a more tailored and engaging media experience.

These strategic growth opportunities highlight the diverse applications of emotion AI software and its potential to drive innovation across various sectors. By focusing on customer service, healthcare, automotive, education, and entertainment, stakeholders can capitalize on emerging trends and create value in the evolving market.

Emotion AI Software Market Driver and Challenges

The emotion AI software market is influenced by various drivers and challenges, encompassing technological advancements, economic factors, and regulatory considerations. Understanding these drivers and challenges is essential for navigating the market and leveraging opportunities.

The factors responsible for driving the emotion AI software market include:

• Technological advancements: Advancements in artificial intelligence and machine learning are driving the growth of emotion AI software. Improved algorithms and processing capabilities enhance emotion recognition accuracy, expanding applications across sectors. The ongoing development of these technologies fuels innovation and adoption.
• Increasing demand for personalized experiences: There is a growing demand for personalized experiences in customer service, healthcare, and entertainment. Emotion AI enables businesses to tailor interactions and services based on emotional insights, leading to higher customer satisfaction and engagement. This demand is a key driver of market growth.
• Integration with emerging technologies: The integration of emotion AI with technologies such as virtual reality, augmented reality, and the Internet of Things is creating new opportunities. This synergy enhances user experiences and drives the adoption of emotion recognition technologies across diverse applications.
• Growing awareness of mental health: Increased awareness and focus on mental health are driving the adoption of emotion AI in healthcare. Technologies that monitor and support emotional well-being are gaining traction, leading to innovations in mental health care and patient support. This growing focus is a significant market driver.
• Expansion of consumer electronics: The integration of emotion AI into consumer electronics, such as smartphones and smart home devices, is creating new market opportunities. As consumer demand for intelligent and responsive devices rises, the adoption of emotion recognition technology in these products is increasing.

Challenges in the emotion AI software market are:

• Data privacy and security concerns: Concerns about data privacy and security are significant challenges for the emotion AI market. Ensuring the protection of sensitive emotional data and complying with regulations such as GDPR is critical for market players. Addressing these concerns is essential for gaining consumer trust.
• Ethical and bias issues: Ethical considerations and potential biases in emotion recognition algorithms pose challenges. Ensuring fairness and avoiding biases in emotion detection is crucial for maintaining ethical standards and user trust. Developing unbiased and ethical AI systems is a key challenge for the industry.
• Regulatory compliance: Navigating complex and evolving regulatory landscapes is a challenge for emotion AI companies. Compliance with regulations related to data protection, privacy, and AI ethics requires ongoing effort and adaptation. Regulatory compliance impacts market operations and development strategies.

The drivers and challenges shaping the emotion AI software market reflect a complex interplay of technological, economic, and regulatory factors. Technological advancements, demand for personalization, integration with emerging technologies, mental health awareness, and consumer electronics expansion are driving growth. However, data privacy, ethical issues, and regulatory compliance present significant challenges. Understanding these dynamics is crucial for stakeholders to navigate the market effectively and capitalize on opportunities.

List of Emotion AI Software Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies emotion AI software companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the emotion AI software companies profiled in this report include-

• Clarabridge
• OpenText
• SAP
• SAS
• Basis Technology
• Linguamatics
• Expert System

Emotion AI Software by Segment

The study includes a forecast for the global emotion AI software market by type, application, and region.

Emotion AI Software Market by Type [Analysis by Value from 2019 to 2031]:

• On-Premise
• Cloud-Based

Emotion AI Software Market by Application [Analysis by Value from 2019 to 2031]:

• Large Enterprise
• SMEs

Emotion AI Software Market by Region [Analysis by Value from 2019 to 2031]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the Emotion AI Software Market

The emotion AI software market has seen dynamic growth recently, fueled by advancements in artificial intelligence and increased adoption across various sectors. Companies in the U.S., China, Germany, India, and Japan are leveraging emotion recognition technologies to enhance customer experiences, improve human-computer interactions, and drive innovations in fields ranging from healthcare to automotive industries. As these technologies evolve, they are reshaping market landscapes and creating new growth opportunities.

• United States: In the U.S., emotion AI software has gained significant traction with the rise of personalized customer experiences and mental health applications. Major tech firms are integrating emotion recognition into customer service platforms to improve engagement and satisfaction. Additionally, the development of advanced algorithms has enabled more accurate emotion detection, expanding applications in healthcare and education. The focus on data privacy and ethical considerations is also influencing market trends, with companies investing in secure and transparent AI systems.
• China: China has rapidly adopted emotion AI software in various sectors, driven by government initiatives and technological advancements. The integration of emotion recognition into smart city projects and public safety applications is notable. Chinese companies are also exploring emotion AI in education to personalize learning experiences. Moreover, the rise of facial recognition technology has propelled the development of emotion recognition systems, contributing to advancements in customer service and entertainment industries.
• Germany: In Germany, emotion AI software is being utilized to enhance user experiences in the automotive and manufacturing sectors. German automotive companies are integrating emotion recognition into driver assistance systems to improve safety and comfort. Additionally, the emphasis on data protection and compliance with GDPR is shaping the development and deployment of emotion AI solutions. The focus on ethical AI practices and collaborative research with academic institutions is driving innovation in this market.
• India: India's emotion AI software market is experiencing growth due to increasing digitalization and a burgeoning tech industry. Startups and tech companies are adopting emotion recognition to improve customer service and personalized marketing strategies. The application of emotion AI in healthcare is also expanding, with solutions being developed to support mental health and patient care. Challenges related to data privacy and infrastructure are being addressed as the market matures and regulatory frameworks evolve.
• Japan: Japan is leveraging emotion AI software in robotics and elderly care, reflecting its technological prowess and aging population. The integration of emotion recognition into humanoid robots is enhancing human-robot interactions and support systems. Additionally, Japanese companies are exploring emotion AI applications in consumer electronics and entertainment. The focus on precision and reliability in emotion recognition technology is driving innovation, with advancements aimed at improving user experiences and societal well-being.

Features of the Global Emotion AI Software Market

Market Size Estimates: Emotion AI software market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.

Segmentation Analysis: Emotion AI software market size by type, application, and region in terms of value ($B).

Regional Analysis: Emotion AI software market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the emotion AI software market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the emotion AI software market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

If you are looking to expand your business in this or adjacent markets, then contact us. We have done hundreds of strategic consulting projects in market entry, opportunity screening, due diligence, supply chain analysis, M & A, and more.

This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the emotion AI software market by type (on-premise and cloud-based), application (large enterprise and SMEs), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Emotion AI Software Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2019 to 2031

• 3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
• 3.2. Global Emotion AI Software Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global Emotion AI Software Market by Type
  • 3.3.1: On-Premise
  • 3.3.2: Cloud-Based
• 3.4: Global Emotion AI Software Market by Application
  • 3.4.1: Large Enterprise
  • 3.4.2: SMEs

4. Market Trends and Forecast Analysis by Region from 2019 to 2031

• 4.1: Global Emotion AI Software Market by Region
• 4.2: North American Emotion AI Software Market
  • 4.2.1: North American Market by Type: On-Premise and Cloud-Based
  • 4.2.2: North American Market by Application: Large Enterprise and SMEs
• 4.3: European Emotion AI Software Market
  • 4.3.1: European Market by Type: On-Premise and Cloud-Based
  • 4.3.2: European Market by Application: Large Enterprise and SMEs
• 4.4: APAC Emotion AI Software Market
  • 4.4.1: APAC Market by Type: On-Premise and Cloud-Based
  • 4.4.2: APAC Market by Application: Large Enterprise and SMEs
• 4.5: ROW Emotion AI Software Market
  • 4.5.1: ROW Market by Type: On-Premise and Cloud-Based
  • 4.5.2: ROW Market by Application: Large Enterprise and SMEs

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global Emotion AI Software Market by Type
  • 6.1.2: Growth Opportunities for the Global Emotion AI Software Market by Application
  • 6.1.3: Growth Opportunities for the Global Emotion AI Software Market by Region
• 6.2: Emerging Trends in the Global Emotion AI Software Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global Emotion AI Software Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Emotion AI Software Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Clarabridge
• 7.2: OpenText
• 7.3: SAP
• 7.4: SAS
• 7.5: Basis Technology
• 7.6: Linguamatics
• 7.7: Expert System