Sentiment Analytic Comprehensive Study by Deployment Mode (Cloud-based, On-Premises), Enterprise Size (Large Enterprises, SMEs), Industry Vertical (BFSI, Retail, Healthcare and Life Sciences, Education, Media and Entertainment, Transportation and Logistics, Others)

Sentiment Analytic Market by XX Submarkets | Forecast Years 2024-2030  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Sentiment Analytic Market Scope
Sentiment analytics is the method of employing natural language processing, machine learning, and other computational approaches to evaluate and comprehend the sentiment represented in textual data is known as sentiment analytics, and it is used as opinion mining or emotion AI. In addition to identifying certain emotions or viewpoints, the objective is to ascertain whether a text expresses a favourable, negative, or neutral attitude. Sentiment analytics is anticipated to grow further as technological advancements, more industry use, and the integration of sentiment analytics into various corporate processes will all contribute to its future growth.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Million)
Key Companies ProfiledMicrosoft (United States), Amazon Web Services, Inc. (United States), Altair Engineering, Inc. (United States), Quantexa (United States), Brandwatch (United Kingdom), Aventior, Inc. (United States), Userlytics (United States), SAS Institute Inc. (United States), IBM Corporation (United States) and Lexalytics, Inc. (United States)
CAGR%


Companies are entering into the sentiment analytics market to increase recognition of the value that sentiment analysis can bring to businesses. Sentiment analytics enables companies to gain deeper insights into customer opinions, preferences, and feedback. Understanding customer sentiments helps businesses make informed decisions regarding product development, marketing strategies, and customer service improvements. Monitoring sentiment around a brand is crucial for reputation management. Companies use sentiment analysis to track how their brand is perceived in the market and identify potential issues that could impact brand image.

Microsoft (United States), Amazon Web Services, Inc. (United States), Altair Engineering, Inc. (United States), Quantexa (United States), Brandwatch (United Kingdom), Aventior, Inc. (United States), Userlytics (United States), SAS Institute Inc. (United States), IBM Corporation (United States) and Lexalytics, Inc. (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are MeaningCloud LLC (United States), Cogito (United States), Repustate Inc. (Canada), SpazioDati S.r.l. (Italy), TextRazor Ltd. (United Kingdom), Kairos AR, Inc. (United States) and Qualtrics (United States).

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.

Segmentation Overview
The study have segmented the market of Global Sentiment Analytic market by Type and Region with country level break-up.

On the basis of geography, the market of Sentiment Analytic has been segmented into . region held largest market share in the year 2023.

Market Leaders and their expansionary development strategies
In January 2024, Babel Street, a prominent provider of solutions for identity intelligence and risk operations, acquired Vertical Knowledge, a leading company specializing in data products, insights, and intelligence. This acquisition represents a substantial expansion of Babel Street's capabilities in data sourcing, enrichment, and analysis. It positions Babel Street to elevate high-stakes identity and risk operations into a strategic advantage for organizations on a global scale.
In September 2023, Userlytics, a leading global testing and research company launched advanced artificial intelligence sentiment analytics to its enterprise to provide user experience optimization platform capabilities.


Influencing Trend:
Organizations are monitoring and managing their brand reputation by using sentiment analytics and Companies are adopting real-time sentiment analysis to gain immediate insights into customer opinions and perception

Market Growth Drivers:
Rising Importance of Customer Experience in Private Organizations and Increasing awareness and understanding of artificial intelligence (AI) and analytics in the industry

Challenges:
Sentiment analytics models can be biased due to misinterpreted sentiment in the data

Restraints:
Sentiment analytics struggles to accurately interpret sarcasm, irony, and other forms of figurative language

Opportunities:
The integration of sentiment analytics into other business intelligence and analytics platforms is becoming more seamless and Social media platforms extensive usage has generated enormous volumes of content created by users.

Key Target Audience
Software Companies, Service Providers, Government Agencies, Regulatory Bodies, Potential Investors, Research and Development Institutes, End User Industry and Others

Report Objectives / Segmentation Covered

By Deployment Mode
  • Cloud-based
  • On-Premises

By Enterprise Size
  • Large Enterprises
  • SMEs

By Industry Vertical
  • BFSI
  • Retail
  • Healthcare and Life Sciences
  • Education
  • Media and Entertainment
  • Transportation and Logistics
  • Others

By Regions
    • 1. Market Overview
      • 1.1. Introduction
      • 1.2. Scope/Objective of the Study
        • 1.2.1. Research Objective
    • 2. Executive Summary
      • 2.1. Introduction
    • 3. Market Dynamics
      • 3.1. Introduction
      • 3.2. Market Drivers
        • 3.2.1. Rising Importance of Customer Experience in Private Organizations
        • 3.2.2. Increasing awareness and understanding of artificial intelligence (AI) and analytics in the industry
      • 3.3. Market Challenges
        • 3.3.1. Sentiment analytics models can be biased due to misinterpreted sentiment in the data
      • 3.4. Market Trends
        • 3.4.1. Organizations are monitoring and managing their brand reputation by using sentiment analytics
        • 3.4.2. Companies are adopting real-time sentiment analysis to gain immediate insights into customer opinions and perception
    • 4. Market Factor Analysis
      • 4.1. Porters Five Forces
      • 4.2. Supply/Value Chain
      • 4.3. PESTEL analysis
      • 4.4. Market Entropy
      • 4.5. Patent/Trademark Analysis
    • 5. Global Sentiment Analytic, by Deployment Mode, Enterprise Size and Industry Vertical (value) (2018-2023)
      • 5.1. Introduction
      • 5.2. Global Sentiment Analytic (Value)
        • 5.2.1. Global Sentiment Analytic by: Deployment Mode (Value)
          • 5.2.1.1. Cloud-based
          • 5.2.1.2. On-Premises
        • 5.2.2. Global Sentiment Analytic by: Enterprise Size (Value)
          • 5.2.2.1. Large Enterprises
          • 5.2.2.2. SMEs
        • 5.2.3. Global Sentiment Analytic by: Industry Vertical (Value)
          • 5.2.3.1. BFSI
          • 5.2.3.2. Retail
          • 5.2.3.3. Healthcare and Life Sciences
          • 5.2.3.4. Education
          • 5.2.3.5. Media and Entertainment
          • 5.2.3.6. Transportation and Logistics
          • 5.2.3.7. Others
    • 6. Sentiment Analytic: Manufacturers/Players Analysis
      • 6.1. Competitive Landscape
        • 6.1.1. Market Share Analysis
          • 6.1.1.1. Top 3
          • 6.1.1.2. Top 5
      • 6.2. Peer Group Analysis (2023)
      • 6.3. BCG Matrix
      • 6.4. Company Profile
        • 6.4.1. Microsoft (United States)
          • 6.4.1.1. Business Overview
          • 6.4.1.2. Products/Services Offerings
          • 6.4.1.3. Financial Analysis
          • 6.4.1.4. SWOT Analysis
        • 6.4.2. Amazon Web Services, Inc. (United States)
          • 6.4.2.1. Business Overview
          • 6.4.2.2. Products/Services Offerings
          • 6.4.2.3. Financial Analysis
          • 6.4.2.4. SWOT Analysis
        • 6.4.3. Altair Engineering, Inc. (United States)
          • 6.4.3.1. Business Overview
          • 6.4.3.2. Products/Services Offerings
          • 6.4.3.3. Financial Analysis
          • 6.4.3.4. SWOT Analysis
        • 6.4.4. Quantexa (United States)
          • 6.4.4.1. Business Overview
          • 6.4.4.2. Products/Services Offerings
          • 6.4.4.3. Financial Analysis
          • 6.4.4.4. SWOT Analysis
        • 6.4.5. Brandwatch (United Kingdom)
          • 6.4.5.1. Business Overview
          • 6.4.5.2. Products/Services Offerings
          • 6.4.5.3. Financial Analysis
          • 6.4.5.4. SWOT Analysis
        • 6.4.6. Aventior, Inc. (United States)
          • 6.4.6.1. Business Overview
          • 6.4.6.2. Products/Services Offerings
          • 6.4.6.3. Financial Analysis
          • 6.4.6.4. SWOT Analysis
        • 6.4.7. Userlytics (United States)
          • 6.4.7.1. Business Overview
          • 6.4.7.2. Products/Services Offerings
          • 6.4.7.3. Financial Analysis
          • 6.4.7.4. SWOT Analysis
        • 6.4.8. SAS Institute Inc. (United States)
          • 6.4.8.1. Business Overview
          • 6.4.8.2. Products/Services Offerings
          • 6.4.8.3. Financial Analysis
          • 6.4.8.4. SWOT Analysis
        • 6.4.9. IBM Corporation (United States)
          • 6.4.9.1. Business Overview
          • 6.4.9.2. Products/Services Offerings
          • 6.4.9.3. Financial Analysis
          • 6.4.9.4. SWOT Analysis
        • 6.4.10. Lexalytics, Inc. (United States)
          • 6.4.10.1. Business Overview
          • 6.4.10.2. Products/Services Offerings
          • 6.4.10.3. Financial Analysis
          • 6.4.10.4. SWOT Analysis
    • 7. Global Sentiment Analytic Sale, by Deployment Mode, Enterprise Size and Industry Vertical (value) (2025-2030)
      • 7.1. Introduction
      • 7.2. Global Sentiment Analytic (Value)
        • 7.2.1. Global Sentiment Analytic by: Deployment Mode (Value)
          • 7.2.1.1. Cloud-based
          • 7.2.1.2. On-Premises
        • 7.2.2. Global Sentiment Analytic by: Enterprise Size (Value)
          • 7.2.2.1. Large Enterprises
          • 7.2.2.2. SMEs
        • 7.2.3. Global Sentiment Analytic by: Industry Vertical (Value)
          • 7.2.3.1. BFSI
          • 7.2.3.2. Retail
          • 7.2.3.3. Healthcare and Life Sciences
          • 7.2.3.4. Education
          • 7.2.3.5. Media and Entertainment
          • 7.2.3.6. Transportation and Logistics
          • 7.2.3.7. Others
    • 8. Appendix
      • 8.1. Acronyms
    • 9. Methodology and Data Source
      • 9.1. Methodology/Research Approach
        • 9.1.1. Research Programs/Design
        • 9.1.2. Market Size Estimation
        • 9.1.3. Market Breakdown and Data Triangulation
      • 9.2. Data Source
        • 9.2.1. Secondary Sources
        • 9.2.2. Primary Sources
      • 9.3. Disclaimer
    List of Tables
    • Table 1. Sentiment Analytic: by Deployment Mode(USD Million)
    • Table 2. Sentiment Analytic: by Enterprise Size(USD Million)
    • Table 3. Sentiment Analytic: by Industry Vertical(USD Million)
    • Table 4. Company Basic Information, Sales Area and Its Competitors
    • Table 5. Company Basic Information, Sales Area and Its Competitors
    • Table 6. Company Basic Information, Sales Area and Its Competitors
    • Table 7. Company Basic Information, Sales Area and Its Competitors
    • Table 8. Company Basic Information, Sales Area and Its Competitors
    • Table 9. Company Basic Information, Sales Area and Its Competitors
    • Table 10. Company Basic Information, Sales Area and Its Competitors
    • Table 11. Company Basic Information, Sales Area and Its Competitors
    • Table 12. Company Basic Information, Sales Area and Its Competitors
    • Table 13. Company Basic Information, Sales Area and Its Competitors
    • Table 14. Sentiment Analytic: by Deployment Mode(USD Million)
    • Table 15. Sentiment Analytic: by Enterprise Size(USD Million)
    • Table 16. Sentiment Analytic: by Industry Vertical(USD Million)
    • Table 17. Research Programs/Design for This Report
    • Table 18. Key Data Information from Secondary Sources
    • Table 19. Key Data Information from Primary Sources
    List of Figures
    • Figure 1. Porters Five Forces
    • Figure 2. Supply/Value Chain
    • Figure 3. PESTEL analysis
    • Figure 4. Global Sentiment Analytic: by Deployment Mode USD Million (2018-2023)
    • Figure 5. Global Sentiment Analytic: by Enterprise Size USD Million (2018-2023)
    • Figure 6. Global Sentiment Analytic: by Industry Vertical USD Million (2018-2023)
    • Figure 7. Global Sentiment Analytic share by Players 2023 (%)
    • Figure 8. Global Sentiment Analytic share by Players (Top 3) 2023(%)
    • Figure 9. Global Sentiment Analytic share by Players (Top 5) 2023(%)
    • Figure 10. BCG Matrix for key Companies
    • Figure 11. Microsoft (United States) Revenue, Net Income and Gross profit
    • Figure 12. Microsoft (United States) Revenue: by Geography 2023
    • Figure 13. Amazon Web Services, Inc. (United States) Revenue, Net Income and Gross profit
    • Figure 14. Amazon Web Services, Inc. (United States) Revenue: by Geography 2023
    • Figure 15. Altair Engineering, Inc. (United States) Revenue, Net Income and Gross profit
    • Figure 16. Altair Engineering, Inc. (United States) Revenue: by Geography 2023
    • Figure 17. Quantexa (United States) Revenue, Net Income and Gross profit
    • Figure 18. Quantexa (United States) Revenue: by Geography 2023
    • Figure 19. Brandwatch (United Kingdom) Revenue, Net Income and Gross profit
    • Figure 20. Brandwatch (United Kingdom) Revenue: by Geography 2023
    • Figure 21. Aventior, Inc. (United States) Revenue, Net Income and Gross profit
    • Figure 22. Aventior, Inc. (United States) Revenue: by Geography 2023
    • Figure 23. Userlytics (United States) Revenue, Net Income and Gross profit
    • Figure 24. Userlytics (United States) Revenue: by Geography 2023
    • Figure 25. SAS Institute Inc. (United States) Revenue, Net Income and Gross profit
    • Figure 26. SAS Institute Inc. (United States) Revenue: by Geography 2023
    • Figure 27. IBM Corporation (United States) Revenue, Net Income and Gross profit
    • Figure 28. IBM Corporation (United States) Revenue: by Geography 2023
    • Figure 29. Lexalytics, Inc. (United States) Revenue, Net Income and Gross profit
    • Figure 30. Lexalytics, Inc. (United States) Revenue: by Geography 2023
    • Figure 31. Global Sentiment Analytic: by Deployment Mode USD Million (2025-2030)
    • Figure 32. Global Sentiment Analytic: by Enterprise Size USD Million (2025-2030)
    • Figure 33. Global Sentiment Analytic: by Industry Vertical USD Million (2025-2030)
    List of companies from research coverage that are profiled in the study
    • Microsoft (United States)
    • Amazon Web Services, Inc. (United States)
    • Altair Engineering, Inc. (United States)
    • Quantexa (United States)
    • Brandwatch (United Kingdom)
    • Aventior, Inc. (United States)
    • Userlytics (United States)
    • SAS Institute Inc. (United States)
    • IBM Corporation (United States)
    • Lexalytics, Inc. (United States)
    Additional players considered in the study are as follows:
    MeaningCloud LLC (United States) , Cogito (United States) , Repustate Inc. (Canada) , SpazioDati S.r.l. (Italy) , TextRazor Ltd. (United Kingdom) , Kairos AR, Inc. (United States) , Qualtrics (United States)
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    Key Highlights of Report


    Jan 2024 233 Pages 82 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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    Frequently Asked Questions (FAQ):

    The key segments that are playing vital role in Sentiment Analytic Market are by end use application [].
    The Sentiment Analytic Market is gaining popularity and expected to see strong valuation by 2030.
    • Rising Importance of Customer Experience in Private Organizations
    • Increasing awareness and understanding of artificial intelligence (AI) and analytics in the industry

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