Text Analytics Market By Component (Solution, Services), 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 Enterprise Size (SMEs, Large Enterprises), By End-user (BFSI, Retail, Government, Healthcare, Manufacturing, IT & Telecom, Media and Entertainment, Travel and Hospitality, Others) and By Region (North America, Latin America, Asia Pacific, Europe, and Middle East & Africa), and COVID-19 Analysis – Global Forecast 2024 to 2029

Market Analysis and Insights: 

The market for Global Text Analytics was estimated to be worth USD 10.51 billion in 2024, and from 2024 to 2029, it is anticipated to grow at a CAGR of 40.11%, with an expected value of USD 56.74 billion in 2029. 

The text analytics industry is experiencing growth and evolution due to a variety of factors. One significant driver is the surge in unstructured data volumes across diverse sectors. Text analytics plays a crucial role in helping businesses derive valuable insights from this type of data, thereby supporting improved decision-making processes and providing a competitive advantage. Furthermore, the market is being fueled by the increasing demand for sentiment analysis. Companies are utilizing text analytics to evaluate customer feedback, social media sentiments, and online reviews, enabling them to better understand customer preferences, refine their products/services, and boost overall customer satisfaction levels. Another significant driver pushing the market forward is the increasing focus on managing risks and ensuring compliance. Text analytics empowers organizations to pinpoint and address potential risks by scrutinizing text data obtained from various sources such as emails, contracts, and legal documents. Moreover, the market is witnessing growth driven by the escalating adoption of cloud-based text analytics solutions, which offer scalability, cost-efficiency, and streamlined implementation processes. Continuous enhancements in natural language processing (NLP) and machine learning methodologies are further bolstering market expansion by improving the accuracy and efficiency of text analytics solutions. 

Text Analytics Market Scope:

Market Definition 

Text analytics pertains to the extraction of meaningful insights and knowledge from unstructured text data. This field encompasses various methodologies, such as natural language processing, sentiment analysis, and topic modeling, aimed at revealing underlying patterns and dynamics present in textual content. 

In the current age of data-driven businesses, the importance of text analytics cannot be overstated. This technology plays a crucial role in extracting valuable insights from extensive volumes of unstructured text data, aiding organizations in deriving meaningful conclusions. In the current age of data-driven businesses, the importance of text analytics cannot be overstated. This technology plays a crucial role in extracting valuable insights from extensive volumes of unstructured text data, aiding organizations in deriving meaningful conclusions. Through the implementation of advanced natural language processing and machine learning methodologies, text analytics aids in interpreting customer sentiment, pinpointing emerging trends, and facilitating well-informed business decisions. From aggregating and scrutinizing customer feedback, social media discourse, to online evaluations, companies can gain profound insights into their target audience. Moreover, text analytics serves as a crucial tool in the realms of fraud detection, risk evaluation, and compliance oversight, assisting businesses in making precise forecasts and preemptive actions. Ultimately, the efficacy of text analytics lies in its capability to convert unstructured text data into organized information, thereby enabling companies to unravel concealed patterns and steer strategic initiatives towards success. 

Key Market Segmentation: 

Insights On Key Component 

Solution 

The solution segment is anticipated to lead the Global Text Analytics Market. Solutions encompass the software and tools empowering organizations to conduct text analytics on their data. With the escalating volume of unstructured data and the imperative to derive insights from it, the demand for text analytics solutions is on the upswing. Businesses across various industries are adopting text analytics solutions to enhance customer experience, improve decision-making processes, and gain a competitive advantage. Consequently, the solution segment is poised to dominate the market owing to its pivotal role in furnishing the requisite technology and capabilities for text analytics. 

Services 

While the solution part is expected to dominate the Global Text Analytics Market, the services part also plays a significant role in supporting the adoption and implementation of text analytics solutions. Services in the text analytics market include consulting, implementation, training, and support. These services help organizations in deploying and managing text analytics solutions effectively. While the demand for services is expected to be high, especially during the initial stages of implementation, the dominance of the solution part can be attributed to the long-term reliance on software and tools for text analytics. Nonetheless, the services part will continue to grow as businesses seek assistance to maximize the benefits of text analytics solutions. 

Insights On Key Application 

Social Media Analysis 

Social Media Analysis is anticipated to take the lead in the Global Text Analytics Market. With the exponential proliferation of social media platforms and the colossal volume of data generated on these platforms, businesses are progressively turning to text analytics to extract insights from social media conversations. Text analytics helps in monitoring brand reputation, understanding customer sentiment, and identifying emerging trends in real-time. It also enables businesses to engage with their customers effectively and make data-driven decisions. As social media continues to be a significant source of consumer feedback and market intelligence, the demand for text analytics solutions for social media analysis is expected to grow substantially. 

Competitive Intelligence 

Competitive Intelligence stands out as a crucial component of the Global Text Analytics Market. Businesses are placing growing emphasis on securing a competitive advantage in the market by analyzing extensive text data sourced from various channels. Text analytics furnishes valuable insights into competitors' strategies, market trends, and customer preferences, empowering businesses to make informed decisions and craft effective competitive strategies. By utilizing text analytics for competitive intelligence, businesses can identify market gaps, assess competitor performance, and enhance their own product offerings to gain a competitive advantage. 

Customer Relationship Management 

Customer Relationship Management (CRM) is another significant part of the Global Text Analytics Market. Text analytics enables businesses to extract valuable insights from customer interactions, including emails, surveys, customer feedback, and chat logs. By analyzing this unstructured data, businesses can understand customer sentiments, preferences, and needs, which helps in improving customer engagement, personalizing customer experiences, and enhancing overall customer satisfaction. Text analytics in CRM also allows businesses to identify and proactively address customer issues, forecast customer behavior, and optimize marketing campaigns, ultimately leading to increased customer loyalty and retention. 

Predictive Analytics 

Predictive Analytics is a vital part of the Global Text Analytics Market. Through the analysis of extensive text data, businesses can unveil patterns, trends, and relationships that facilitate the creation of predictive models, thus enabling anticipation of future outcomes. Text analytics empowers businesses to extract valuable insights from unstructured text data sources, including customer reviews, social media posts, and online forums, which can be amalgamated with structured data for enhanced predictive accuracy. By harnessing predictive analytics via text analytics, businesses can drive data-driven decision-making, streamline operational efficiency, enhance risk management practices, and pinpoint novel business opportunities. 

Fraud Detection 

Fraud detection is an essential part of the Global Text Analytics Market. Text analytics assumes a critical role in detecting and thwarting fraudulent activities by scrutinizing extensive text data, including transaction records, emails, insurance claims, and social media conversations. By analyzing text data for patterns, anomalies, and suspicious behavior, businesses can detect potential fraud and take immediate action to mitigate risks. Text analytics helps in monitoring fraudulent activities in real-time, enhancing fraud investigation processes, and reducing financial losses. With the increasing sophistication of fraud techniques, the demand for text analytics solutions for fraud detection is expected to grow significantly. 

Risk Management 

Risk Management is a significant part of the Global Text Analytics Market. Text analytics helps businesses in assessing and managing risks by analyzing unstructured text data from various sources, such as news articles, financial reports, regulatory documents, and social media conversations. By extracting valuable insights from text data, businesses can identify risks, monitor market trends, and predict potential risks in advance. Text analytics also enables businesses to identify emerging risks, perform sentiment analysis to gauge stakeholders' perceptions, and optimize risk mitigation strategies. 

Workforce Management 

Workforce management is a relevant part of the Global Text Analytics Market. Text analytics helps businesses in understanding and managing their workforce by analyzing text data from employee feedback surveys, performance reviews, training programs, and internal communication channels. By analyzing this unstructured data, businesses can gain insights into employee sentiments, engagement levels, and training needs, leading to improved workforce productivity, reduced turnover rates, and effective talent management strategies. Text analytics in workforce management also allows businesses to identify patterns and trends in employee communication, monitor employee satisfaction, and make data-driven decisions to optimize workforce performance. 

Document Management 

Document Management is an important part of the Global Text Analytics Market. Text analytics helps businesses in extracting valuable insights from vast amounts of unstructured text data contained in documents, such as contracts, legal agreements, research papers, and customer correspondence. By employing text analytics in document management, businesses can categorize documents, extract key information, perform semantic analysis, and automate processes, leading to enhanced document searchability, improved information retrieval, and increased operational efficiency. Text analytics in document management also enables businesses to identify patterns and trends across documents, perform topic modeling, and ensure compliance with regulatory requirements. 

Insights On Key Deployment 

Cloud 

The part expected to dominate the Global Text Analytics Market is the Cloud deployment. Cloud analytics provides numerous benefits, such as scalability, flexibility, and cost-effectiveness. Given the escalating volume of data generated and the demand for real-time analysis, organizations are increasingly adopting cloud-based solutions to fulfill their text analytics needs. Cloud deployment allows easy access to the analytics platform from anywhere, enabling collaboration and quick decision-making. Additionally, cloud-based solutions offer automatic updates and maintenance, reducing the burden on IT departments. Overall, the Cloud deployment part is anticipated to dominate the Global Text Analytics Market due to its convenience, efficiency, and ability to cater to the growing needs of businesses.

On-premises 

While cloud deployment is expected to dominate the Global Text Analytics Market, the on-premises part still holds relevance for specific industries and organizations. On-premises deployment affords companies full control over their data and analytics operations. It ensures heightened data security as all information remains stored within the organization's premises. Industries like government, healthcare, and finance, which frequently prioritize data privacy and compliance regulations, often favor on-premises deployment for these reasons. Moreover, organizations with limited internet connectivity or large volumes of sensitive data may opt for on-premises solutions. Despite the dominance of cloud deployment, the on-premises part continues to serve niche markets with specific requirements. 

Insights On Key Enterprise Size 

SMEs 

Among the By Enterprise Size parts, SMEs are expected to dominate the Global Text Analytics Market. Small and Medium-sized Enterprises (SMEs) are increasingly acknowledging the importance of text analytics in extracting insights from unstructured data sources such as emails, social media comments, customer reviews, and surveys. The affordability and accessibility of cloud-based text analytics solutions have leveled the playing field for SMEs, enabling them to leverage advanced analytics capabilities previously only available to larger enterprises. As SMEs continue to embrace digital transformation and understand the significance of data-driven decision-making, the demand for text analytics solutions is expected to surge in this part. 

Large Enterprises 

Large Enterprises are also anticipated to play a significant role in the Global Text Analytics Market. With their vast financial resources and expansive customer base, large enterprises have been early adopters of text analytics solutions. These organizations often deal with massive volumes of unstructured data and understand the importance of extracting valuable insights from this data to drive business growth and enhance customer experience. Text analytics can provide large enterprises with the ability to identify patterns, detect sentiments, and make data-driven decisions, thereby improving operational efficiency and competitive advantage. While SMEs are expected to dominate the market in terms of growth rate, large enterprises will continue to be key players in driving innovation and shaping the industry landscape. 

Insights On Key End-user 

Healthcare 

The healthcare industry is expected to dominate the global text analytics market. With the increasing digitization of patient records and the growing adoption of electronic health records (EHRs), there is a massive influx of textual data in healthcare organizations. Text analytics solutions can help healthcare providers extract valuable insights from this unstructured data, such as patient feedback, medical reports, and clinical notes. By analyzing this data, healthcare professionals can improve patient care, identify trends and patterns, enhance operational efficiency, and make data-driven decisions. Moreover, text analytics can aid in detecting fraud and identifying potential risks in health insurance claims. The healthcare industry's need for leveraging text analytics to improve patient outcomes and streamline operations positions it as the dominant end-user in the global text analytics market. 

BFSI 

The BFSI (Banking, Financial Services, and Insurance) sector is another significant end-user in the global text analytics market. Text analytics can help financial institutions analyze customer feedback, social media data, news articles, analyst reports, and financial statements to gain vital insights into customer sentiments, market trends, and investment opportunities. By leveraging text analytics, banks can enhance their customer service, personalize marketing campaigns, identify early warning signs of fraudulent activities, and manage reputation risks effectively. The BFSI sector's reliance on data-driven insights and the growing importance of delivering personalized financial services make it a prominent player in the global text analytics market. 

Retail 

Within the retail industry, text analytics has emerged as a powerful tool to analyze customer reviews, social media posts, and market research data. By understanding customer sentiments, preferences, and trends, retailers can optimize their product offerings, enhance customer experience, and improve brand loyalty. Additionally, text analytics can aid in monitoring competitor activities, managing online reputation, and identifying emerging market predictions. The retail sector's focus on customer-centric strategies and the need to stay ahead in a highly competitive market environment solidify its position as an important end-user for text analytics solutions. 

Government 

Governments worldwide generate an enormous volume of textual data, including citizen feedback, policy documents, legal records, social media posts, and public statements. Text analytics can assist government organizations in analyzing this vast amount of unstructured data to gain insights into citizen sentiments, public opinion, policy evaluation, and social trends. By leveraging text analytics, governments can enhance policy-making processes, improve public service delivery, detect potential threats, and monitor compliance. The government sector's increasing emphasis on utilizing data analytics to drive evidence-based decision-making and improve governance positions it as a significant user of text analytics solutions. 

Manufacturing 

In the manufacturing industry, text analytics is an emerging technology that can help companies extract valuable insights from unstructured textual data. By analyzing customer feedback, product reviews, market research data, and supplier communications, manufacturers can enhance product quality, identify manufacturing defects, optimize supply chain operations, and manage customer expectations. Text analytics can also support warranty analysis, predictive maintenance, and quality control initiatives. While the manufacturing sector may not dominate the global text analytics market, it is expected to see increased adoption of text analytics solutions in the coming years due to its numerous potential use cases. 

IT & Telecom 

The IT & Telecom industry is another vital end-user in the global text analytics market. With the ever-increasing volume and variety of data generated in this industry, text analytics can help IT & Telecom companies analyze customer interactions, support tickets, social media conversations, and network logs. By leveraging these insights, companies can improve customer support, identify service or network issues, detect anomalies, and enhance network performance. Moreover, text analytics can aid in sentiment analysis for brand monitoring and social media listening. The IT & Telecom industry's reliance on data-driven decision-making and the need to provide exceptional customer experiences position it as an important player in the global text analytics market. 

Media and Entertainment 

In the media and entertainment industry, text analytics plays a crucial role in analyzing customer feedback, social media conversations, content reviews, and market research data. By understanding audience sentiments, content preferences, and viewing patterns, media companies can personalize content recommendations, optimize advertising campaigns, and create targeted marketing strategies. Text analytics can also aid in content moderation, copyright infringement detection, and piracy prevention. Although not expected to dominate the global text analytics market, the media and entertainment industry's increasing focus on leveraging data analytics to deliver engaging content and improve user experiences makes it a relevant end-user. 
Travel and Hospitality 

The travel and hospitality industry can benefit from text analytics solutions to analyze customer reviews, social media mentions, booking data, and surveys. By gaining insights into customer feedback, preferences, and sentiments, travel and hospitality companies can personalize travel experiences, improve customer service, manage online reputation, and make data-driven decisions. Text analytics can also aid in sentiment analysis for destination reviews and competitor analysis. While the travel and hospitality sector may not be the dominant end-user in the global text analytics market, its potential for enhancing customer experiences and driving business growth makes it an important player in adopting text analytics solutions. 

Insights on Regional Analysis: 

Europe 

Europe is expected to dominate the Global Text Analytics market. This region has a well-established technological infrastructure and a high adoption rate of data analytics solutions across various industries. Several countries within Europe, such as the United Kingdom, Germany, and France, are leading players in the global analytics market. The region has witnessed significant investments in artificial intelligence, machine learning, and natural language processing technologies, which are essential for text analytics. Moreover, there is a growing need for businesses to gain meaningful insights from large volumes of unstructured data, such as social media posts, customer reviews, and surveys. The presence of major industry players, strong data protection regulations, and the emphasis on technological advancements make Europe a dominant region in the Global Text Analytics market. 

North America 

North America is an important market for text analytics and is set to exhibit substantial growth. The region is witnessing high adoption of text analytics solutions, particularly in industries such as healthcare, retail, and BFSI. The presence of several key players in the text analytics market, technological advancements, and a strong focus on innovation are the key factors driving market growth in North America. Additionally, the region has a large customer base and a high demand for advanced analytics solutions to extract valuable insights from massive amounts of unstructured data. These factors, combined with the region's strong economic growth and supportive government initiatives, position North America as a significant player in the Global Text Analytics market. 

Asia Pacific 

Asia Pacific is expected to witness significant growth in the text analytics market. The region is experiencing a rapid digital transformation, with an increasing demand for data analytics solutions. The presence of emerging economies such as China and India, along with the growing adoption of artificial intelligence and natural language processing technologies, is boosting market growth in the region. Moreover, industries such as healthcare, retail, BFSI, and e-commerce in Asia Pacific are generating vast amounts of data that require effective text analytics solutions to gain actionable insights. The availability of a skilled workforce, rising investments in AI and machine learning technologies, and supportive government initiatives are further propelling the growth of the text analytics market in Asia Pacific. 

Latin America 

Latin America is witnessing gradual growth in the text analytics market. The region has a growing demand for advanced analytics solutions to extract valuable insights from unstructured data sources. Industries such as banking, healthcare, and retail in Latin America are increasingly adopting text analytics to improve customer experience, enhance operational efficiency, and drive business growth. Moreover, the region's increasing digitalization efforts, rising investments in AI and machine learning technologies, and favorable government initiatives are further fueling the adoption of text analytics solutions. While Latin America may not dominate the global text analytics market, it presents substantial growth opportunities for industry players in the region. 

Middle East & Africa 

The Middle East & Africa region is experiencing a gradual but steady growth in the text analytics market. While the adoption of text analytics solutions is relatively lower compared to other regions, there is a growing awareness of the benefits offered by these solutions. The region's increasing focus on digital transformation, rising investments in technological infrastructure, and the presence of industries such as BFSI, healthcare, and retail are driving the demand for text analytics solutions. Additionally, the need to gain insights from large volumes of unstructured data, including social media, customer feedback, and surveys, is pushing organizations in the Middle East & Africa to invest in text analytics capabilities. Although the region may not dominate the global market, it presents untapped growth opportunities for text analytics vendors. 

Company Profiles: 

Prominent figures within the worldwide Text Analytics sector are pivotal in the creation and delivery of cutting-edge text analytics solutions across diverse fields. Their main objective is to introduce groundbreaking technologies for efficient data interpretation, improving decision-making procedures, and empowering enterprises to extract valuable insights from unstructured textual data. 

Prominent participants in the text analytics industry comprise IBM Corporation, SAP SE, SAS Institute Inc., OpenText Corporation, RapidMiner Inc., Clarabridge Inc., Angoss Software Corporation, KNIME AG, Lexalytics Inc., and Bitext Innovations S.L. 

COVID-19 Impact and Market Status: 

The Global Text Analytics market has been greatly influenced by the Covid-19 pandemic, leading to a surge in the need for sentiment analysis and social media monitoring to effectively manage crises and engage with customers. 

The text analytics market has been significantly affected by the global COVID-19 pandemic. The transition to remote work worldwide has created a greater demand for text analytics solutions to handle and analyze large amounts of text data. Businesses in various sectors, including healthcare, retail, and finance, are utilizing text analytics to extract valuable insights from customer feedback, social media content, and online reviews, enabling them to understand customer sentiments and make well-informed decisions. The crisis has underscored the importance of real-time data and monitoring, prompting the adoption of text analytics tools for tasks such as sentiment analysis, trend spotting, and anomaly detection in relation to the pandemic. Despite facing challenges due to economic slowdowns and resulting budget constraints in several industries, the market is expected to recover as businesses bounce back and recommence operations. The resurgence in demand for text analytics solutions will be driven by the necessity for data-driven insights and sentiment analysis to maintain competitiveness in a constantly evolving business environment. 

Latest Trends and Innovation: 

- In January 2021, Microsoft acquired Nuance Communications, a leading provider of conversational AI and natural language processing (NLP) solutions, to enhance their text analytics capabilities. 

- In October 2020, Salesforce announced the acquisition of Slack, a popular collaboration platform, to integrate it with their customer relationship management (CRM) software and provide advanced text analytics features. 

- In September 2020, OpenAI introduced GPT-3 (Generative Pre-trained Transformer 3), a state-of-the-art language model that revolutionized text analytics applications by generating human-like natural language responses. 

- In August 2020, Google released the latest version of Google Cloud Natural Language API, featuring advanced sentiment analysis, entity recognition, and content classification capabilities for text analytics purposes. 

- In July 2020, SAS launched SAS Viya 4, their cloud-native advanced analytics platform, incorporating improved text analytics techniques to derive valuable insights from unstructured text data. 

- In April 2020, IBM unveiled IBM Watson Discovery, an AI-powered platform that employs advanced text analytics techniques for extracting meaningful insights from vast amounts of unstructured textual information. 

- In March 2020, Lexalytics released AI Assembler, an integrated platform that combines multiple text analytics models and capabilities to provide more accurate and comprehensive analysis of textual data. 

- In February 2020, RapidMiner introduced Turbo Prep, a data preparation tool that incorporates text analytics capabilities, enabling businesses to efficiently clean and analyze unstructured text data. 

- In January 2020, Amazon Web Services (AWS) launched Amazon Comprehend Medical, a natural language processing (NLP) service specifically designed to extract and analyze medical information from unstructured text data. 

- In December 2019, Adobe acquired Marketo, a leading marketing automation platform, to integrate its text analytics capabilities with Adobe's marketing software suite, expanding their offerings in customer experience management. 

Significant Growth Factors: 

The Text Analytics market is experiencing significant growth driven by the exponential increase in data volume and the growing demand for extracting valuable insights to support data-informed decision-making. 

The market for text analytics is poised for substantial growth in the forthcoming years for several reasons. Firstly, the rising need for real-time data analysis and the upsurge in the utilization of social media analytics are key drivers of market expansion. Text analytics empowers organizations to derive valuable insights from extensive unstructured data sets, including customer feedback, social media interactions, and online reviews, facilitating well-informed decision-making processes. Secondly, the escalating integration of text analytics in the healthcare and life sciences domains is further propelling market growth. In these sectors, text analytics plays a crucial role in patient monitoring, disease surveillance, and the detection of adverse events, thereby enhancing the quality of patient care. Additionally, the upsurge in e-commerce activities and the imperative for superior customer experiences are heightening the demand for text analytics solutions. By scrutinizing customer sentiments and feedback, enterprises can tailor their marketing approaches and ameliorate customer satisfaction levels. Moreover, the progress in machine learning and natural language processing technologies is propelling the evolution of the text analytics market. These advancements facilitate the automation of text analysis procedures, rendering them quicker and more effective. Lastly, the growing emphasis on risk management and fraud detection across diverse industries is fostering the deployment of text analytics solutions. Through the examination of textual data, businesses can pinpoint potential risks, identify fraudulent activities, and avert financial losses. In conclusion, the text analytics market is experiencing significant expansion driven by the heightened demand for real-time data analysis, the diversification of applications in various sectors, technological advancements, and the necessity for enhanced customer experiences and risk mitigation strategies. 

Restraining Factors: 

The Text Analytics market faces obstacles in its growth due to the scarcity of competent professionals and the intricacy involved in analyzing unstructured data. 

The Text Analytics industry is poised for notable growth in the foreseeable future, although there exist several factors that may impede its advancement. The intricacy and variability of natural language stand out as a prominent obstacle. Text analytics tools frequently encounter difficulties in accurately deciphering the context, meaning, and sentiments conveyed within human language, resulting in less dependable results. Another significant challenge lies in the scarcity of high-quality training data. Effective text analytics heavily relies on extensive datasets to train machine learning systems, a requirement that can be demanding to fulfill, notably for specialized sectors and languages.

Additionally, concerns regarding privacy and compliance with regulatory frameworks may constrain the maximum utilization of text analytics capabilities. Organizations must carefully maneuver through s

Key Segments of the Text Analytics Market 

Component Overview 

• Solution 
• Services 

Application Overview 

• Competitive Intelligence 
• Customer Relationship Management 
• Predictive Analytics 
• Fraud Detection 
• Risk Management 
• Social Media Analysis 
• Workforce Management 
• Document Management 
• Others 

Deployment Overview 

• Cloud 
• On-premises 

Enterprise Size Overview 

• SMEs 
• Large Enterprises 

End-user Overview 

• BFSI 
• Retail 
• Government 
• Healthcare 
• Manufacturing 
• IT & Telecom 
• Media and Entertainment 
• Travel and Hospitality 
• Others 

Regional Overview 

North America 

• US 
• Canada 
• Mexico 

Europe 

• Germany 
• France 
• U.K 
• Rest of Europe 

Asia Pacific 

• China 
• Japan 
• India 
• Rest of Asia Pacific 

Middle East and Africa 

• Saudi Arabia 
• UAE 
• Rest of Middle East and Africa 

Latin America 

• Brazil 
• Argentina 
• Rest of Latin America