The Market Reports

Synopsis

Text Analytics is a method that uses natural language processing technology to conduct structured and quantitative analysis of text data. It extracts, understands and summarizes information from text by using computer algorithms and models. Text analysis can help people mine useful knowledge from large-scale text data, accelerate the decision-making process, and discover potential trends and patterns.

Text analysis covers multiple subfields, including text classification, sentiment analysis, entity extraction, relationship extraction, topic modeling, etc. Text classification is to classify text according to predefined categories, such as classifying news articles into political, economic, sports, etc. categories. Sentiment analysis is the judgment of the emotional tendencies expressed in texts, which can help companies understand consumers' attitudes towards products or services. Entity extraction is to identify and extract entities with specific meanings from text, such as names of people, places, organizations, etc. Relation extraction is to extract relationships between entities from text, such as determining which characters in a news report have cooperative relationships. Topic modeling is the topic classification of texts to help people understand different topics in text collections.

Text analysis has wide applications in many fields. In the business field, it can help companies understand consumer needs and opinions, improve products and services, and conduct market competition analysis. In the financial field, it can help analysts conduct intelligence analysis on large amounts of data such as news and social media to assist investment decisions. In the social sciences, text analysis can be used to analyze social media data, questionnaires, etc. to understand public opinion and social trends.

In short, text analysis is a powerful tool that can help people obtain valuable information and support decision-making and research work by processing and analyzing large amounts of text data.

The global Text Analytics market was valued at US$ 4665.7 million in 2023 and is anticipated to reach US$ 9534.4 million by 2030, witnessing a CAGR of 10.3% during the forecast period 2024-2030.

North American market for Text Analytics is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

Asia-Pacific market for Text Analytics is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The global market for Text Analytics in Data Analysis & Forecasting is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The major global companies of Text Analytics include IBM, Microsoft, SAS Institute, SAP SE, RapidMiner, Confirmit, Predixion Software, Lexalytics and Angoss Software, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.

This report aims to provide a comprehensive presentation of the global market for Text Analytics, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Text Analytics.

Report Scope

The Text Analytics market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Text Analytics market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the Text Analytics companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

Market Segmentation

By Company (Partial List)

• IBM
• Microsoft
• SAS Institute
• SAP SE
• RapidMiner
• Confirmit
• Predixion Software
• Lexalytics
• Angoss Software

Segment by Type

• On-Premise
• Cloud-Based

Segment by Application

• Data Analysis & Forecasting
• Fraud/Spam Detection
• Intelligence & Law Enforcement
• Customer Relationship Management (CRM)
• Other

By Region

• North America (United States, Canada)
• Europe (Germany, France, U.K., Italy, Russia)
• Asia-Pacific (China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia)
• Latin America (Mexico, Brazil, Argentina)
• Middle East & Africa (Turkey, Saudi Arabia, UAE)

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Text Analytics companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.