Global Sentiment Analysis Software Market Growth (Status and Outlook) 2023-2029

Global Sentiment Analysis Software Market Growth (Status and Outlook) 2023-2029

Opinion mining (sometimes known as sentiment analysis or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine.

LPI (LP Information)' newest research report, the “Sentiment Analysis Software Industry Forecast” looks at past sales and reviews total world Sentiment Analysis Software sales in 2022, providing a comprehensive analysis by region and market sector of projected Sentiment Analysis Software sales for 2023 through 2029. With Sentiment Analysis Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Sentiment Analysis Software industry.

This Insight Report provides a comprehensive analysis of the global Sentiment Analysis Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Sentiment Analysis Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Sentiment Analysis Software market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Sentiment Analysis Software and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Sentiment Analysis Software.

The global Sentiment Analysis Software market size is projected to grow from US$ 1835.4 million in 2022 to US$ 4611.6 million in 2029; it is expected to grow at a CAGR of 14.1% from 2023 to 2029.

During 2017, the retail industry accounted for the majority market shares and dominated the sentiment analysis software market size. The online retail sector incorporates sentiment analysis software for collecting data from their customers to retain loyal customers and provide them with enhanced online shopping experiences based on their feedback. Additionally, the sentiment analysis software also helps in the analysis of competitive benchmarking and customer satisfaction index by collecting necessary data from retailers and their customers.

This report presents a comprehensive overview, market shares, and growth opportunities of Sentiment Analysis Software market by product type, application, key players and key regions and countries.

Market Segmentation:

Segmentation by type
On-premises Sentiment Analysis Software
Web-based Sentiment Analysis Software

Segmentation by application
Retail
BFSI
Healthcare
Other

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
IBM
Angoss Software Corporation
Clarabridge
Bitext
Brandwatch
SAS Institute
General Sentiment
Lexalytics
Meltwater
NetOwl
Trackur
OdinText
OpenText
QuestionPro Survey Software
Social Smart Software

Please note: The report will take approximately 2 business days to prepare and deliver.