To Get More Information on Text Analytics Market - Request Sample Report
The Text Analytics Market size was recorded at USD 9.55 billion in 2023 and is expected to reach USD 41.2 billion in 2032, growing at a CAGR of 17.65% Over the Forecast Period of 2024-2032.
Growing demand for text analytics with continuous shifting to alternate data sources a further surge and growth of text analytics is being portrayed due to the emerging need that is derived to bring insight from unstructured data powered by social media, online reviews, and customer feedback. This growth is driven by increasing demand for predictive analytics and better customer experience through analysis of unstructured text data for actionable insights. For instance, retail and e-commerce use text analytics to interpret customer behavior, demand, or preference leading to target marketing strategies that tend towards increased sales and loyalty. According to companies' surveys on text analytics, eighty to ninety percent of the data that businesses generate and collect is unstructured data, and the volumes of this data are growing rapidly. Companies like Amazon use text analytics to improve product recommendations by better-understanding customer reviews and feedback. In user engagement, this affects satisfaction. By the year 2024, it is forecasted that text analytics will make up some 15% of this broad analytics market, which houses many diverse tools and technologies for data analysis. Text analytics is also applied to fraud detection and risk management within financial services companies to ensure better efficiency of operations and strengthening of security measures across organizations.
Market Dynamics
Drivers
The growing demand for social media analysis and brand awareness is likely to drive the demand for text analytics solutions.
Additionally, the increasing focus on competitive intelligence and efficient customer services is expected to boost the text analytics market.
Business predictive analytics
Considering the disruptive evolution of the Internet of Things (IoT) and big data technologies, predictive analytics will continue to have a considerable rise and remain one of the major reasons driving the overall growth of the text analytics market. Predictive analytics locates potential outcomes and creates predictive models using historical data, statistical algorithms, and machine-to-machine (M2M) learning. Leading businesses have discovered that by integrating potent text analytics software into their current processes, they would be able to immediately combine all these elements, map a sizable amount of data sets, and include valuable third-party data to improve the analysis and results. Employing sophisticated processing and rich data visualization tools to visually witness outcomes and situations, would assist businesses in improving the output of the prediction models. Text analytics offers predictive analytics with precise sentiment data analysis, which may uncover spatial relationships or trends that would otherwise be challenging to find. By analyzing both the present and historical data to forecast future results, text analytics tools help users make crucial business decisions. The need for predictive analytics among enterprises is anticipated to be a significant driving force for the text analytics market as a result of these factors.
Restrains
Lack of knowledge, qualified personnel, and additional operational difficulties
The general use of text analytics will rise as a direct result of raising end-user understanding of how text analytics can transform enormous data sets into insightful information. Due to the complexity of big data, only a few text analytics software providers are present on the market and provide text analytics solutions. Today's software provides big data analytics and enables real-time analysis with a user-friendly interface thanks to technological advancements. Even today, a sizable portion of information accessible both inside and outside of organizational boundaries still consists of text-based material. Big data and text analytics will help firms examine the crucial data that is crucial to their decision-making processes but may have gone untapped up until now. The usage of location analytics software and services is anticipated to rise, particularly in the growing economies of APAC and Latin America, as clients become more aware of the fundamentals of the technology and its advantages.
By Component
In this segmentation, the Software segment led the text analytics market with more than 50% of the revenue share in 2023. The reason for this is that the software segment holds the maximum share in the text analytics market, due to the overall wide adoption of text analytics software solutions. This is because these software solutions are equipped with advanced text mining algorithms and NLP technologies, which efficiently help in making meaningful insights from huge amounts of unstructured textual data. According to market data, the software segment contributed to about 60% of the global text analytics market in 2023. Now, the huge share reflects how important software is in making it efficient for organizations to process and analyze textual information quickly. The software segment includes applications like sentiment analysis, machine translation, and bioinformatics. For instance, sentiment analysis tools are very instrumental to businesses in estimating consumer opinion and feedback because they give insights into consumer behavior and brand perception. For instance, the core prominent sentiment analysis tools, like Lexalytics' Semantria, assist companies in understanding and classifying the emotions of the customer through textual data.
By Application
In this segmentation, Customer Relationship Management (CRM) held dominance with more than 30% of the market share in 2023. The key factor attributing to the growth of text analytics is the rising necessity in business organizations across various industry verticals to interpret customer relativities, thereby evaluating future marketing strategies. Specifically, text analytics tools in CRM allow businesses to analyze their customer feedback and reviews so that they can look for common themes about what people are saying or asking which helps us better strategize our email marketing strategies as well as improve product. Examples include text analytics to inform stakeholders on the determination of customer sentiment (Salesforce Einstein Analytics). The market report on CRM reveals that this ability helps to have personalized interactions, which results in up to 20% higher customer satisfaction and a retention increase of nearly 15%. Text analytics also improves the efficiency of your CRM operations by automating this process, ensuring that customer inquiries are sorted and prioritized accurately leading to quicker response times. Zendesk, for instance, uses text analytics to accurately categorize and route customer tickets leading to improved support operations.
By End-user
In this segmentation, Text analytics is conceivably revolutionizing retail because it processes and analyzes the huge amount of text data that comes from many entities into meaningful information. Through customer reviews, social media posts, and other textual information retailers can mine to better understand the preferences, behavior, or needs of a single shopper. This allows them to deliver bespoke promotions, improve in-store experiences, and stay one step ahead of their competitors. Retailers can maximize the use of text analytics to combine AI-based capabilities, centralize diverse data sources, and deploy insights that help predict customer intent at scale. At the end of the day, text analytics is responsible for market growth as it delivers data to retailers which are required to make decisions and improve their customer satisfaction rates leading towards business strategy optimization.
North America dominated the text analytics market, having a revenue share of over 40% in 2023, due to increased adoption of text analytics in various domains such as BFSI, Retail, Healthcare, etc. It is also actively adopting advanced and complex technologies like big data, artificial intelligence, the Internet of Things, and cloud computing. This wide adoption is likely to further boost the demand for text analytics. In particular, it is foreseen that the United States region would grow rapidly with new realization about competitive intelligence tools and use for customer service. Other major factors include intensifying competition in BFSI, healthcare, and retail industries, amongst others, adding to the demand for text analytics within the country.
The region consists of two major developed economies of the world, the USA and Canada. Digitalization of the healthcare industry in the USA is trending and creates an opportunity for the text analytics market due to its application in providing valuable insights to healthcare companies about bettering customer services. For instance, in December 2022, Tampa General Hospital collaborated with Palantir Technologies Inc.—a company developing operating systems for the modern enterprise—to deliver the best possible care for patients by operationalizing data and analytics across a connected hospital platform for excellence in operational, research, and clinical care.
The text analytics market is also gaining considerable momentum across Europe, largely driven by the growth of industries such as healthcare, retail, media, and entertainment. The rise of competition among small and medium-scale enterprises in this region is mounting and is further fueling demand for text analytics.
On the other hand, with increasing smart technology, the Internet of Things, artificial intelligence, and other related developments, Asia Pacific has been growing at a superfast pace. All of these are producing vast amounts of structured and unstructured data. However, countries like China, India, and Southeast Asia have the highest rate of usage in terms of social media. This will probably raise the level of digital data shared on social media. The huge demand for 5G, cloud, and connected technology will also fuel the adoption of text analytics. Both regions of the Middle East and Latin America are also likely to grow at a steady pace during the forecast period. The popularity of text analytics will surge in the demand for cheaper solutions for data analysis in such areas.
Do You Need any Customization Research on Text Analytics Market - Enquire Now
The prominent market players are Microsoft Corporation, Luminoso Technologies, Inc., HP Enterprise, IBM Corporation, Knime.Com AG, RapidMiner, Inc., SAS Institute, Inc., OpenText Corporation, Indium Software, Bitext Innovations S.L., Infegy, Inc., Brandwatch, Lexalytics, Inc., Netbase Solutions, Clarabridge, SAP SE, Megaputer Intelligence, Inc., and others in a final report.
| Report Attributes | Details |
| Market Size in 2023 | US$ 9.55 Bn |
| Market Size by 2032 | US$ 41.2 Bn |
| CAGR | CAGR of 17.65% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Component (Solution, Services) • By Enterprise Size (SMEs, Large Enterprises) • By Application (Competitive Intelligence, Customer Relationship Management, Predictive Analytics, Fraud Detection, Risk Management, Social Media Analysis, Workforce management, Document management, Others) • By Deployment (Cloud, On-premises) • By End-user (BFSI, Retail, Government, Healthcare, Manufacturing, IT & Telecom, Media and Entertainment, Travel and Hospitality, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | Microsoft Corporation, Luminoso Technologies, Inc., HP Enterprise, IBM Corporation, Knime.Com AG, RapidMiner, Inc., SAS Institute, Inc., OpenText Corporation, Indium Software, Bitext Innovations S.L., Infegy, Inc., Brandwatch, Lexalytics, Inc., Netbase Solutions, Clarabridge, SAP SE, Megaputer Intelligence, Inc. |
| Key Drivers | • The growing demand for social media analysis and brand awareness is likely to drive the demand for text analytics solutions. • Additionally, the increasing focus on competitive intelligence and efficient customer services is expected to boost the text analytics market. |
| Market Restraints | • Lack of knowledge, qualified personnel, and additional operational difficulties |
Ans: The market is expected to grow to USD 29.80 billion by the forecast period of 2030.
Ans: The prominent market players are Microsoft Corporation, Luminoso Technologies, Inc., HP Enterprise, IBM Corporation, Knime.Com AG, RapidMiner, Inc., SAS Institute, Inc., OpenText Corporation, Indium Software, Bitext Innovations S.L., Infegy, Inc., Brandwatch, Lexalytics, Inc., Netbase Solutions, Clarabridge, SAP SE, Megaputer Intelligence, Inc., and others in a final report
Ans: The CAGR of the Text Analytics Market for the forecast period 2022-2030 is 17.65%.
Ans: Yes, you can buy reports in bulk quantity as per your requirements. Check Here for more details.
Ans: Enhanced customer service and competitive intelligence are expected to provide lucrative opportunities for market expansion during the forecast period.
Table of Contents
1.Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Russia-Ukraine War
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Text Analytics Market Segmentation, By Component
8.1 Solution
8.2 Services
9. Text Analytics Market Segmentation, By Enterprise Size
9.1 SMEs
9.2 Large Enterprises
10. Text Analytics Market Segmentation, By Application
10.1 Competitive Intelligence
10.2 Customer Relationship Management
10.3 Predictive Analytics
10.4 Fraud detection
10.5 Risk Management
10.6 Social Media Analysis
10.7 Workforce management
10.8 Document management
10.9 Others
11. Text Analytics Market Segmentation, By Deployment
11.1 Cloud
11.2 On-premises
12. Text Analytics Market Segmentation, By End-user
12.1 BFSI
12.2 Retail
12.3 Government
12.4 Healthcare
12.5 Manufacturing
12.6 IT & Telecom
12.7 Media and Entertainment
12.8 Travel and Hospitality
12.9 Others
13 Regional Analysis
13.1 Introduction
13.2 North America
13.2.1 North America Text Analytics Market By Country
13.2.2 North America Text Analytics Market By component
13.2.3 North America Text Analytics Market By Enterprise Size
13.2.4 North America Text Analytics Market By Application
13.2.5 North America Text Analytics Market By Deployment
13.2.6 North America Text Analytics Market By End-user
13.2.7 USA
13.2.7.1 USA Text Analytics Market By component
13.2.7.2 USA Text Analytics Market By Enterprise Size
13.2.7.3 USA Text Analytics Market By Application
13.2.7.4 USA Text Analytics Market By Deployment
13.2.7.5 USA Text Analytics Market By End-user
13.2.8 Canada
13.2.8.1 Canada Text Analytics Market By component
13.2.8.2 Canada Text Analytics Market By Enterprise Size
13.2.8.3 Canada Text Analytics Market By Application
13.2.8.4 Canada Text Analytics Market By Deployment
13.2.8.5 Canada Text Analytics Market By End-user
13.2.9 Mexico
13.2.9.1 Mexico Text Analytics Market By Component
13.2.9.2 Mexico Text Analytics Market By Enterprise Size
13.2.9.3 Mexico Text Analytics Market By Application
13.2.9.4 Mexico Text Analytics Market By Deployment
13.2.9.5 Mexico Text Analytics Market By End-user
13.3 Europe
13.3.1 Eastern Europe
13.3.1.1 Eastern Europe Text Analytics Market By Country
13.3.1.2 Eastern Europe Text Analytics Market By component
13.3.1.3 Eastern Europe Text Analytics Market By Enterprise Size
13.3.1.4 Eastern Europe Text Analytics Market By Application
13.3.1.5 Eastern Europe Text Analytics Market By Deployment
13.3.1.6 Eastern Europe Text Analytics Market By End-user
13.3.1.7 Poland
13.3.1.7.1 Poland Text Analytics Market By component
13.3.1.7.2 Poland Text Analytics Market By Enterprise Size
13.3.1.7.3 Poland Text Analytics Market By Application
13.3.1.7.4 Poland Text Analytics Market By Deployment
13.3.1.7.5 Poland Text Analytics Market By End-user
13.3.1.8 Romania
13.3.1.8.1 Romania Text Analytics Market By component
13.3.1.8.2 Romania Text Analytics Market By Enterprise Size
13.3.1.8.3 Romania Text Analytics Market By Application
13.3.1.8.4 Romania Text Analytics Market By Deployment
13.3.1.8.5 Romania Text Analytics Market By End-user
13.3.1.9 Hungary
13.3.1.9.1 Hungary Text Analytics Market By component
13.3.1.9.2 Hungary Text Analytics Market By Enterprise Size
13.3.1.9.3 Hungary Text Analytics Market By Application
13.3.1.9.4 Hungary Text Analytics Market By Deployment
13.3.1.9.5 Hungary Text Analytics Market By End-user
13.3.1.10 Turkey
13.3.1.10.1 Turkey Text Analytics Market By component
13.3.1.10.2 Turkey Text Analytics Market By Enterprise Size
13.3.1.10.3 Turkey Text Analytics Market By Application
13.3.1.10.4 Turkey Text Analytics Market By Deployment
13.3.1.10.5 Turkey Text Analytics Market By End-user
13.3.1.11 Rest of Eastern Europe
13.3.1.11.1 Rest of Eastern Europe Text Analytics Market By component
13.3.1.11.2 Rest of Eastern Europe Text Analytics Market By Enterprise Size
13.3.1.11.3 Rest of Eastern Europe Text Analytics Market By Application
13.3.1.11.4 Rest of Eastern Europe Text Analytics Market By Deployment
13.3.1.11.5 Rest of Eastern Europe Text Analytics Market By End-user
13.3.2 Western Europe
13.3.2.1 Western Europe Text Analytics Market By Country
13.3.2.2 Western Europe Text Analytics Market By component
13.3.2.3 Western Europe Text Analytics Market By Enterprise Size
13.3.2.4 Western Europe Text Analytics Market By Application
13.3.2.5 Western Europe Text Analytics Market By Deployment
13.3.2.6 Western Europe Text Analytics Market By End-user
13.3.2.7 Germany
13.3.2.7.1 Germany Text Analytics Market By component
13.3.2.7.2 Germany Text Analytics Market By Enterprise Size
13.3.2.7.3 Germany Text Analytics Market By Application
13.3.2.7.4 Germany Text Analytics Market By Deployment
13.3.2.7.5 Germany Text Analytics Market By End-user
13.3.2.8 France
13.3.2.8.1 France Text Analytics Market By component
13.3.2.8.2 France Text Analytics Market By Enterprise Size
13.3.2.8.3 France Text Analytics Market By Application
13.3.2.8.4 France Text Analytics Market By Deployment
13.3.2.8.5 France Text Analytics Market By End-user
13.3.2.9 UK
13.3.2.9.1 UK Text Analytics Market By component
13.3.2.9.2 UK Text Analytics Market By Enterprise Size
13.3.2.9.3 UK Text Analytics Market By Application
13.3.2.9.4 UK Text Analytics Market By Deployment
13.3.2.9.5 UK Text Analytics Market By End-user
13.3.2.10 Italy
13.3.2.10.1 Italy Text Analytics Market By component
13.3.2.10.2 Italy Text Analytics Market By Enterprise Size
13.3.2.10.3 Italy Text Analytics Market By Application
13.3.2.10.4 Italy Text Analytics Market By Deployment
13.3.2.10.5 Italy Text Analytics Market By End-user
13.3.2.11 Spain
13.3.2.11.1 Spain Text Analytics Market By component
13.3.2.11.2 Spain Text Analytics Market By Enterprise Size
13.3.2.11.3 Spain Text Analytics Market By Application
13.3.2.11.4 Spain Text Analytics Market By Deployment
13.3.2.11.5 Spain Text Analytics Market By End-user
13.3.2.12 The Netherlands
13.3.2.12.1 Netherlands Text Analytics Market By component
13.3.2.12.2 Netherlands Text Analytics Market By Enterprise Size
13.3.2.12.3 Netherlands Text Analytics Market By Application
13.3.2.12.4 Netherlands Text Analytics Market By Deployment
13.3.2.12.5 Netherlands Text Analytics Market By End-user
13.3.2.13 Switzerland
13.3.2.13.1 Switzerland Text Analytics Market By component
13.3.2.13.2 Switzerland Text Analytics Market By Enterprise Size
13.3.2.13.3 Switzerland Text Analytics Market By Application
13.3.2.13.4 Switzerland Text Analytics Market By Deployment
13.3.2.13.5 Switzerland Text Analytics Market By End-user
13.3.2.14 Austria
13.3.2.14.1 Austria Text Analytics Market By component
13.3.2.14.2 Austria Text Analytics Market By Enterprise Size
13.3.2.14.3 Austria Text Analytics Market By Application
13.3.2.14.4 Austria Text Analytics Market By Deployment
13.3.2.14.5 Austria Text Analytics Market By End-user
13.3.2.15 Rest of Western Europe
13.3.2.15.1 Rest of Western Europe Text Analytics Market By component
13.3.2.15.2 Rest of Western Europe Text Analytics Market By Enterprise Size
13.3.2.15.3 Rest of Western Europe Text Analytics Market By Application
13.3.2.15.4 Rest of Western Europe Text Analytics Market By Deployment
13.3.2.15.5 Rest of Western Europe Text Analytics Market By End-user
13.4 Asia-Pacific
13.4.1 Asia Pacific Text Analytics Market By Country
13.4.2 Asia Pacific Text Analytics Market By component
13.4.3 Asia Pacific Text Analytics Market By Enterprise Size
13.4.4 Asia Pacific Text Analytics Market By Application
13.4.5 Asia Pacific Text Analytics Market By Deployment
13.4.6 Asia Pacific Text Analytics Market By End-user
13.4.7 China
13.4.7.1 China Text Analytics Market By component
13.4.7.2 China Text Analytics Market By Enterprise Size
13.4.7.3 China Text Analytics Market By Application
13.4.7.4 China Text Analytics Market By Deployment
13.4.7.5 China Text Analytics Market By End-user
13.4.8 India
13.4.8.1 India Text Analytics Market By component
13.4.8.2 India Text Analytics Market By Enterprise Size
13.4.8.3 India Text Analytics Market By Application
13.4.8.4 India Text Analytics Market By Deployment
13.4.8.5 India Text Analytics Market By End-user
13.4.9 Japan
13.4.9.1 Japan Text Analytics Market By component
13.4.9.2 Japan Text Analytics Market By Enterprise Size
13.4.9.3 Japan Text Analytics Market By Application
13.4.9.4 Japan Text Analytics Market By Deployment
13.4.9.5 Japan Text Analytics Market By End-user
13.4.10 South Korea
13.4.10.1 South Korea Text Analytics Market By component
13.4.10.2 South Korea Text Analytics Market By Enterprise Size
13.4.10.3 South Korea Text Analytics Market By Application
13.4.10.4 South Korea Text Analytics Market By Deployment
13.4.10.5 South Korea Text Analytics Market By End-user
13.4.11 Vietnam
13.4.11.1 Vietnam Text Analytics Market By component
13.4.11.2 Vietnam Text Analytics Market By Enterprise Size
13.4.11.3 Vietnam Text Analytics Market By Application
13.4.11.4 Vietnam Text Analytics Market By Deployment
13.4.11.5 Vietnam Text Analytics Market By End-user
13.4.12 Singapore
13.4.12.1 Singapore Text Analytics Market By component
13.4.12.2 Singapore Text Analytics Market By Enterprise Size
13.4.12.3 Singapore Text Analytics Market By Application
13.4.12.4 Singapore Text Analytics Market By Deployment
13.4.12.5 Singapore Text Analytics Market By End-user
13.4.13 Australia
13.4.13.1 Australia Text Analytics Market By component
13.4.13.2 Australia Text Analytics Market By Enterprise Size
13.4.13.3 Australia Text Analytics Market By Application
13.4.13.4 Australia Text Analytics Market By Deployment
13.4.13.5 Australia Text Analytics Market By End-user
13.4.14 Rest of Asia-Pacific
13.4.14.1 APAC Text Analytics Market By component
13.4.14.2 APAC Text Analytics Market By Enterprise Size
13.4.14.3 APAC Text Analytics Market By Application
13.4.14.4 APAC Text Analytics Market By Deployment
13.4.14.5 APAC Text Analytics Market By End-user
13.5 The Middle East & Africa
13.5.1 Middle East
13.5.1.1 Middle East Text Analytics Market By country
13.5.1.2 Middle East Text Analytics Market By component
13.5.1.3 Middle East Text Analytics Market By Enterprise Size
13.5.1.4 Middle East Text Analytics Market By Application
13.5.1.5 Middle East Text Analytics Market By Deployment
13.5.1.6 Middle East Text Analytics Market By End-user
13.5.1.7 UAE
13.5.1.7.1 UAE Text Analytics Market By component
13.5.1.7.2 UAE Text Analytics Market By Enterprise Size
13.5.1.7.3 UAE Text Analytics Market By Application
13.5.1.7.4 UAE Text Analytics Market By Deployment
13.5.1.7.5 UAE Text Analytics Market By End-user
13.5.1.8 Egypt
13.5.1.8.1 Egypt Text Analytics Market By component
13.5.1.8.2 Egypt Text Analytics Market By Enterprise Size
13.5.1.8.3 Egypt Text Analytics Market By Application
13.5.1.8.4 Egypt Text Analytics Market By Deployment
13.5.1.8.5 Egypt Text Analytics Market By End-user
13.5.1.9 Saudi Arabia
13.5.1.9.1 Saudi Arabia Text Analytics Market By component
13.5.1.9.2 Saudi Arabia Text Analytics Market By Enterprise Size
13.5.1.9.3 Saudi Arabia Text Analytics Market By Application
13.5.1.9.4 Saudi Arabia Text Analytics Market By Deployment
13.5.1.9.5 Saudi Arabia Text Analytics Market By End-user
13.5.1.10 Qatar
13.5.1.10.1 Qatar Text Analytics Market By component
13.5.1.10.2 Qatar Text Analytics Market By Enterprise Size
13.5.1.10.3 Qatar Text Analytics Market By Application
13.5.1.10.4 Qatar Text Analytics Market By Deployment
13.5.1.10.5 Qatar Text Analytics Market By End-user
13.5.1.11 Rest of Middle East
13.5.1.11.1 Rest of Middle East Text Analytics Market By component
13.5.1.11.2 Rest of Middle East Text Analytics Market By Enterprise Size
13.5.1.11.3 Rest of Middle East Text Analytics Market By Application
13.5.1.11.4 Rest of Middle East Text Analytics Market By Deployment
13.5.1.11.5 Rest of Middle East Text Analytics Market By End-user
13.5.2 Africa
13.5.2.1 Africa Text Analytics Market By Country
13.5.2.2 Africa Text Analytics Market By component
13.5.2.3 Africa Text Analytics Market By Enterprise Size
13.5.2.4 Africa Text Analytics Market By Application
13.5.2.5 Africa Text Analytics Market By Deployment
13.5.2.6 Africa Text Analytics Market By End-user
13.5.2.7 Nigeria
13.5.2.7.1 Nigeria Text Analytics Market By component
13.5.2.7.2 Nigeria Text Analytics Market By Enterprise Size
13.5.2.7.3 Nigeria Text Analytics Market By Application
13.5.2.7.4 Nigeria Text Analytics Market By Deployment
13.5.2.7.5 Nigeria Text Analytics Market By End-user
13.5.2.8 South Africa
13.5.2.8.1 South Africa Text Analytics Market By component
13.5.2.8.2 South Africa Text Analytics Market By Enterprise Size
13.5.2.8.3 South Africa Text Analytics Market By Application
13.5.2.8.4 South Africa Text Analytics Market By Deployment
13.5.2.8.5 South Africa Text Analytics Market By End-user
13.5.2.9 Rest of Africa
13.5.2.9.1 Rest of Africa Text Analytics Market By component
13.5.2.9.2 Rest of Africa Text Analytics Market By Enterprise Size
13.5.2.9.3 Rest of Africa Text Analytics Market By Application
13.5.2.9.4 Rest of Africa Text Analytics Market By Deployment
13.5.2.9.5 Rest of Africa Text Analytics Market By End-user
13.6 Latin America
13.6.1 Latin America Text Analytics Market By Country
13.6.2 Latin America Text Analytics Market By component
13.6.3 Latin America Text Analytics Market By Enterprise Size
13.6.4 Latin America Text Analytics Market By Application
13.6.5 Latin America Text Analytics Market By Deployment
13.6.6 Latin America Text Analytics Market By End-user
13.6.7 Brazil
13.6.7.1 Brazil Text Analytics Market By component
13.6.7.2 Brazil Text Analytics Market By Enterprise Size
13.6.7.3 Brazil Text Analytics Market By Application
13.6.7.4 Brazil Text Analytics Market By Deployment
13.6.7.5 Brazil Text Analytics Market By End-user
13.6.8 Argentina
13.6.8.1 Argentina Text Analytics Market By component
13.6.8.2 Argentina Text Analytics Market By Enterprise Size
13.6.8.3 Argentina Text Analytics Market By Application
13.6.8.4 Argentina Text Analytics Market By Deployment
13.6.8.5 Argentina Text Analytics Market By End-user
13.6.9 Colombia
13.6.9.1 Colombia Text Analytics Market By component
13.6.9.2 Colombia Text Analytics Market By Enterprise Size
13.6.9.3 Colombia Text Analytics Market By Application
13.6.9.4 Colombia Text Analytics Market By Deployment
13.6.9.5 Colombia Text Analytics Market By End-user
13.6.10 Rest of Latin America
13.6.10.1 Rest of Latin America Text Analytics Market By component
13.6.10.2 Rest of Latin America Text Analytics Market By Enterprise Size
13.6.10.3 Rest of Latin America Text Analytics Market By Application
13.6.10.4 Rest of Latin America Text Analytics Market By Deployment
13.6.10.5 Rest of Latin America Text Analytics Market By End-user
14 Company Profile
14.1 Microsoft Corporation
14.1.1 Company Overview
14.1.2 Financials
14.1.3 Product/Services/Offerings
14.1.4 SWOT Analysis
14.1.5 The SNS View
14.2 Luminoso Technologies, Inc.
14.2.1 Company Overview
14.2.2 Financials
14.2.3 Product/Services/Offerings
14.2.4 SWOT Analysis
14.2.5 The SNS View
14.3 HP Enterprise.
14.3.1 Company Overview
14.3.2 Financials
14.3.3 Product/Services/Offerings
14.3.4 SWOT Analysis
14.3.5 The SNS View
14.4 IBM Corporation.
14.4.1 Company Overview
14.4.2 Financials
14.4.3 Product/Services/Offerings
14.4.4 SWOT Analysis
14.4.5 The SNS View
14.5 Knime.Com AG
14.5.1 Company Overview
14.5.2 Financials
14.5.3 Product/Services/Offerings
14.5.4 SWOT Analysis
14.5.5 The SNS View
14.6 RapidMiner, Inc.
14.6.1 Company Overview
14.6.2 Financials
14.6.3 Product/Services/Offerings
14.6.4 SWOT Analysis
14.6.5 The SNS View
14.7 SAS Institute, Inc.
14.7.1 Company Overview
14.7.2 Financials
14.7.3 Product/Services/Offerings
14.7.4 SWOT Analysis
14.7.5 The SNS View
14.8 OpenText Corporation.
14.8.1 Company Overview
14.8.2 Financials
14.8.3 Product/Services/Offerings
14.8.4 SWOT Analysis
14.8.5 The SNS View
14.9 Indium Software.
14.9.1 Company Overview
14.9.2 Financials
14.9.3 Product/Services/Offerings
14.9.4 SWOT Analysis
14.9.5 The SNS View
14.10 Bitext Innovations S.L.
14.10.1 Company Overview
14.10.2 Financials
14.10.3 Product/Services/Offerings
14.10.4 SWOT Analysis
14.10.5 The SNS View
15. Competitive Landscape
15.1 Competitive Benchmarking
15.2 Market Share Analysis
15.3 Recent Developments
15.3.1 Industry News
15.3.2 Company News
15.3.3 Mergers & Acquisitions
16. USE Cases and Best Practices
17. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Component
By Enterprise Size
By Application
By Deployment
By End-user
Request for Segment Customization as per your Business Requirement: Segment Customization Request
REGIONAL COVERAGE:
North America
Europe
Asia Pacific
Middle East & Africa
Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
The Integration Platform as a Service Market Size was USD 10.1 Billion in 2023 & will reach USD 106.60 Bn by 2032 & grow at a CAGR of 29.93 % by 2024-2032.
The Telecom Billing and Revenue Management Market size was valued at USD 13.01 Billion in 2023 and is expected to reach USD 29.1 Billion by 2032 and grow at a CAGR of 9.39% over the forecast period 2024-2032.
The Enterprise VSAT System Market was valued at USD 6.02 billion in 2023 and is expected to reach USD 11.32 billion by 2032, growing at a CAGR of 7.29% over the forecast period 2024-2032.
The Time and Attendance Software Market size was valued at USD 3.03 billion in 2023 and is expected to grow to USD 8.60 billion by 2032 and grow at a CAGR of 12.3% over the forecast period of 2024-2032.
The Open Source Services Market was valued at USD 28.6 billion in 2023 and will reach to USD 114.8 Billion by 2032, growing at a CAGR of 16.70% by 2032.
The Passenger Service System Market size was valued at USD 8.8 billion in 2023, It is expected to hit USD 31.9 billion by 2031 and grow at a CAGR of 17.5% over the forecast period of 2024-2031.
Hi! Click one of our member below to chat on Phone
© 2024 All Rights Reserved by SNS Insider Pvt Ltd
