Sentiment Analytics Companies

Competitive Landscape of Sentiment Analytics Market

The Sentiment Analytics Market is experiencing explosive growth, propelled by businesses striving to understand and optimize customer journeys across diverse touchpoints. This data-driven landscape is fiercely competitive, with established players and nimble startups vying for market share.

Key Players:

• Adoreboard


• IBM


• SAS Institute


• Crowdflower


• Brandwatch


• Twizoo


• Angoss Sentiment Corporation


• Clarabridge


• Aylien

Strategies for Success:

• Comprehensive Solutions: Offering integrated platforms encompassing data capture, analysis, visualization, and action-oriented insights.


• AI-Powered Insights: Leveraging machine learning and natural language processing to unlock real-time customer sentiment and behavior patterns.


• Omnichannel Integration: Connecting data from various touchpoints like website, social media, email, and phone interactions for a holistic customer view.


• Industry-Specific Focus: Developing tailor-made solutions catering to the unique needs of different verticals like healthcare, banking, retail, etc.


• Collaboration and Partnerships: Forming alliances with technology providers and data specialists to expand reach and capabilities.

Market Share Analysis Factors:

• Solution Breadth and Functionality: The completeness and effectiveness of the analytics platform and its features.


• Deployment Options: Flexibility in on-premise, cloud, or hybrid deployment models to cater to diverse customer preferences.


• Data Integration and Security: Seamless data integration capabilities and robust security measures to ensure data privacy and compliance.


• Customer Support and Training: High-quality customer support and training programs to ensure successful implementation and adoption.


• Brand Reputation and Trust: Established market presence and track record of delivering successful CX improvement initiatives.

New and Emerging Companies:

A new wave of innovative startups is challenging established players with niche solutions and agile development. They are focusing on:

• AI-powered sentiment analysis and predictive modeling.


• Real-time customer journey mapping and feedback optimization.


• Conversational analytics for chatbot and voice assistant interactions.


• Integration with emerging technologies like augmented reality and virtual reality.

Current Investment Trends:

• Cloud-based solutions: Companies are increasingly opting for cloud-based CX analytics platforms due to their scalability, affordability, and ease of deployment.


• Industry-specific solutions: Vendors are investing in developing tailored solutions for specific industries to address unique customer journey challenges.


• Artificial intelligence and machine learning: Integration of AI and ML is becoming a key differentiator, enabling automated insights and real-time customer engagement.


• Customer journey orchestration: Platforms are evolving to orchestrate customer journeys across touchpoints, ensuring seamless and personalized experiences.