Global Chatbot Market

The text analytics refer to software or tools that help in automatically converting vast amounts of unstructured text into quantitative data to identify insights, trends, and patterns. This software or tool will enable businesses, governments, researchers, and the media to exploit the enormous content at their disposal for making crucial decisions. The main types of text analytics are software and services. The text analytics software segment consists of sales of text analytics software or tools by entities (organizations, sole traders, and partnerships) that refer to software or tools that help users gain insights from both structured and unstructured text data using natural language processing. Sentiment analysis, key phrases, language, themes and patterns, entities, and others are examples of such insights.This software is deployed on-premise and in the cloud, and it is used in large enterprises and SMEs. Text analytics solutions are used in BFSI, healthcare, energy and utility, retail, e-commerce, and other end-user industries for risk management, fraud management, business intelligence, social media analysis, and customer care services. The text analytics market research report is one of a series of new reports from The Business Research Company that provides text analytics market statistics, including text analytics industry global market size, regional shares, competitors with a text analytics market share, detailed text analytics market segments, market trends and opportunities, and any further data you may need to thrive in the text analytics industry. This text analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry. The global text analytics market size grew from $8.09 billion in 2022 to $9.64 billion in 2023 at a compound annual growth rate (CAGR) of 19.2%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The text analytics market size is expected to grow to $19.75 billion in 2027 at a CAGR of 19.6%. The growing demand for social media analytics Is contributing to the growth of the text analytics market. Social media analytics is the approach of collecting data from social media sites and blogs and evaluating the data for the purpose of making business decisions. The rapid growth of social media and the growing demand for analytical solutions to foster their decision-making capabilities have increased the adoption of different text analytics techniques such as sentiment analysis, event detection, and others. For instance, according to Sprout Social data 2021, globally, over 3.6 billion people are using social media and the number is projected to increase to 4.41 billion in 2025. Additionally, according to the study published by the Content Marketing Institute, more than 81% of organizations across the globe are utilizing social media publishing/analytics tools, and the utilization of content creation/collaboration/workflow tools has increased from 48% in 2019 to 58% in 2020. This growing demand for social media analytics is expected to boost the growth of the text analytics market during the forecast period. Technological innovation is a key trend gaining popularity in the text analytics market. The companies operating in the text analytics market are focusing on developing innovative and advanced solutions to meet the specific demands of niche customer sectors across the globe. In March 2021, Kensho Communications, an Oman-based agency for marketing and communications, announced the launch of Kensho NERD (Named Entity Recognition and Disambiguation), a machine-learning system that finds entities mentioned in documents, newsfeeds, or other text and links each to a matching record in a database to fully exploit textual data. In September 2021, InMoment, a US-based provider of Experience Improvement (XI) TM solutions, acquired Lexalytics for an undisclosed amount. This acquisition brings tremendous flexibility to organisations that require private, public, or hybrid cloud text analytics infrastructures and unlocks exciting new market opportunities. Lexalytics is a US-based company that has been leading the space in solving the AI hard problems of text analytics and natural language processing. Major players in the text analytics market are IBM Corporation, Microsoft Corporation, SAP SE, SAS Institute Inc., Lexalytics Inc., Luminoso Technologies Inc., Clarabridge Inc., Micro Focus International PLC, OpenText Corporation, RapidMiner Inc., Infegy Inc., Medallia Inc., Megaputer Intelligence, Inc., Oracle Corporation, TIBCO Software Inc., Bitext Innovations SL, Basis Technology, MeaningCloud LLC, KNIME.com AG, Averbis, bizAmica Software, Attivio, Kingland Systems, Capgemini, NICE, Verint Systems, Inc., and Amazon Web Services (AWS). North America was the largest region in the text analytics market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the text analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the text analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The text analytics market includes revenues earned by entities by providing solutions that understand, analyze, and derive insights from unstructured text into quantitative data by utilizing sentiment analysis, topic modeling, named entity recognition, term frequency, and event extraction techniques. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global text analytics market is segmented - 1) By Component: Software, Services 2) By Deployment: On-premise, Cloud 3) By Enterprise Size: Large Enterprises, Small and medium Enterprises (SME’s)

Natural language processing (NLP) is a field of artificial intelligence enable computers to understand and analyze human language. NLP helps the computer using artificial intelligence to take real-world input and make sense of it in a way a computer can understand. Computers collect information through microphones and programs. The main types of NLP are text, speech/voice, and image. Text analytics is an artificial intelligence (AI) technique that employs NLP to convert the free (unstructured) text in documents and databases into normalized, structured data suitable for analysis or as input to machine learning (ML) algorithms. NLP can be deployed on-premise, cloud in a hybrid or statistical components that have applications in automatic summarization, sentiment analysis, risk, and threat detection. There are various end-users such as education, BFSI, healthcare, IT and telecom, retail, manufacturing, media and entertainment, and others. The natural language processing (NLP) market research report is one of a series of new reports from The Business Research Company that provides natural language processing (NLP) market statistics, including natural language processing (NLP) industry global market size, regional shares, competitors with a natural language processing (NLP) market share, detailed natural language processing (NLP) market segments, market trends and opportunities, and any further data you may need to thrive in the natural language processing (NLP) industry. This natural language processing (NLP) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry. The global natural language processing (NLP) market size grew from $19.48 billion in 2022 to $25.03 billion in 2023 at a compound annual growth rate (CAGR) of 28.5%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The natural language processing (NLP) market size is expected to grow to $69.17 billion in 2027 at a CAGR of 28.9%. The increase in usage of smart devices is driving the growth of the NLP market. Smart devices are electronic devices that are connected to networks or other devices via wireless modes. Smart devices are paired with NLP to process and analyze voice commands given by users. For instance, according to DataReportal, an online data, and insights agency, the number of smartphones in use is growing at a 5.7% annual rate, with an average of 1 million new smartphones in use every day. Therefore, increasing usage of smart devices is expected to drive the growth of the NLP market going forward. Technology advancements have emerged as a key trend gaining popularity in the NLP market. Major companies operating in the market are upgrading and launching technologically advanced NLP software for market growth. For instance, in September 2021, Melax Tech, a US-based software company, launched Mercury NLP based on AI technology. The Mercury NLP is new software that includes clinical NLP pipelines for extracting useful unstructured textual medical data for quantitative analytics in fields such as medicine and pharmaceuticals. Mercury NLP software extracts text data from diagnoses, recommended medications, tests, lab results, discharge plans, and more in real-time. The technique can also be used to improve public health by analyzing social determinants of health data. In March 2022, Microsoft Corp., a US-based technology company, acquired Nuance Communications Inc., for an undisclosed amount. This acquisition will help providers to offer more effective, affordable, and accessible healthcare, and help organizations create more personalized customer experiences. Nuance Communications is a US-based company that operates in ambient intelligence, NLP, and conversational AI across industries including financial services, healthcare, retail, and telecommunications. Major players in the NLP market are 3M Company, Apple Inc., FUJIFILM Holdings Corporation, Google LLC, Intel Corporation, International Business Machines Corporation, Meta Platforms Inc., Microsoft Corporation, NetBase Quid Inc., Nokia Corporation, SAS Institute Inc., Gnani Innovations Private Limited, Mihup Communications Private Limited, and Observe.AI. North America was the largest region in the NLP market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the NLP market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the NLP market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The natural language processing market includes revenues earned by entities by providing software tools that automate the processes for text summarization, text extraction, text classification, analyzing user language partners, and smart assistance using machine learning and artificial intelligence technology.  The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global natural language processing nlp market is segmented - 1) By Processing Type: Text, Speech Or Voice, Image 2) By Deployment: On-Premise, Cloud 3) By Component: Statistical, Hybrid 4) By Application: Automatic Summarization, Sentiment Analysis, Risk And Threat Detection 5) By End User Industry: Education, BFSI, Healthcare, IT And Telecom, Retail, Manufacturing, Media And Entertainment, Other End User Industries

CRM (customer relationship management software) software is designed to help the organization provide a unique and seamless customer experience and build better relationships by providing a complete picture of all customer interactions, tracking sales, organizing and prioritizing the opportunities, and facilitating collaboration across different teams. The main deployment types of customer relationship management (CRM) software are cloud CRM and on-premise CRM. Cloud CRM refers to CRM software in which the application and data are stored, or hosted, on the CRM provider's own servers in a datacenter and accessed via an internet browser. The software are used by small and mid-sized enterprises, large enterprises for sales, marketing, manufacturing, customer service, social networking, supply chain, distribution, and others. The customer relationship management (CRM) market research report is one of a series of new reports from The Business Research Company that provides customer relationship management (CRM) market statistics, including customer relationship management (CRM) industry global market size, regional shares, competitors with a customer relationship management (CRM) market share, detailed customer relationship management (CRM) market segments, market trends and opportunities, and any further data you may need to thrive in the customer relationship management (CRM) industry. This customer relationship management (CRM) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry. The global crm software market size will grow from $128.25 billion in 2022 to $148.49 billion in 2023 at a compound annual growth rate (CAGR) of 15.8%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global crm software market size is expected to grow to $263.1 billion in 2027 at a CAGR of 15.4%. Increasing number of customers of the organizations and the rising need for customer satisfaction are expected to benefit the customer relationship management software market in the forecast period. Organizations should offer customized services to customers, gain better knowledge of their purchasing habits and other details, develop cross-selling opportunities and create competitive differentiators to retain existing customers and to attract new customers. These drive the demand for the use of CRM software in organizations to understand their customers in a better way and to maintain a good relationship with them. For example, Apollo Hospitals has implemented custom designed CRM software of Veon Consulting which resulted in high user adoption, 27% cut in the timeline of the review process, efficient handling of patient visits and outcome which saved manual efforts by 42%, and effective reporting and dashboards which reduced number of travels by 50%. Rising number of security concerns are expected to limit the growth of companies in the customer relationship management software market during the forecast period. Security concerns have been increasing in the recent times due to online availability of personal data. CRM and similar software store large databases online and these data of customers are accessed by teams around the globe which poses the potential for mistreatment of data. The data in the CRM software and other software's faces security concerns including corporate/competitive espionage, fraud, ID theft, nations-state espionage and unauthorized sales of data to third-party. These issues restrict the growth of CRM software. For example, CRM software in Bank of America and Citibank were once hacked to steal the user log-in credentials. Social and Mobile CRM are increasingly integrating social media channels into CRM platforms to offer to its full capabilities on every smart device by having a real-time access at any place or time. This integration helps to achieve greater productivity, better customer experience, and access to more relevant information. Advertisers have embraced social media platforms to associate and share with customers for improving products and perceptions. These also help businesses to manage customer grievances, requests, and inquiries. More number of users can access the data using social and mobile CRM. For example, Wells Fargo has implemented social CRM to engage with the customers and improve their availability. Wells Fargo also uses CRM to solve customer queries. In October 2022, RealPage, a US-based real estate software and data company acquired Knock CRM for an undisclosed sum. As a result, RealPage will retain the brand Knock and pursues more business opportunities. Knock CRM is a US-based CRM and performance management platform for residential property management. Major players in the customer relationship management (CRM) software market are Salesforce, Microsoft, Oracle, SAP, Sugar, Zoho, Pipedrive, Hubspot, Act, Infusionsoft, Apptivo, Sage, Salesboom, Base, Insightly, Adobe, Genesys Telecommunications laboratories, Nice systems, Pega systems, Verint systems, Zendesk, Freshsales, BPM online, InfoFlo, Amo, vCita, Monday.com, Maximizer, Hotjar and nimble. Asia-Pacific was the largest region in the customer relationship management (CRM) software market in 2022. North America was the second largest region of the global customer relationship management (CRM) software market. The regions covered in the global customer relationship management (CRM) software market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the customer relationship management (CRM) software market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The customer relationship management (CRM) software market includes revenues earned by entities by offering developing and distributing software that helps to build strong relationships with their customers. It analyzes the customer interactions and automates the activities identified with deals, advertising, and client support throughout the customer lifecycle. It causes the organizations to remain associated with their clients and improve productivity and furthermore helps in streamlining work forms. Some of the CRM software include Agile CRM, Recruit CRM, Sales mate CRM, NetSuite CRM. Values in this market are factory gate values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global CRM software market is segmented - 1) By Deployment: Cloud CRM, On-Premise CRM 2) By Size of Enterprise: Small&Mid sized enterprises, Large enterprises 3) By Application: Sales, Marketing, Manufacturing, Customer service, Social networking, Supply chain, Distribution, Other Applications

The intelligent virtual assistant refer to an artificial intelligence (AI)-enabled converse adjunct that generates individualized responses by combining analytics and cognitive computing grounded on individual client information, one’s exchange and position, using the commercial knowledgebase and mortal sapience. An intelligent virtual assistant is more advanced than a simple chatbot, which is automated but not powered by artificial intelligence. The main type of products of intelligent virtual assistants are IVA (intelligent virtual assistant) smart speaker and chatbots. The IVA (intelligent virtual assistant) smart speaker are an internet-connected speaker with microphones that enables users to interact with an intelligent virtual assistant using voice commands developed to improve user experience in various devices such as smartphones, tablets, and laptops. Smart speakers are electronic devices that incorporate AI capabilities to provide a smooth user experience when searching over voice-based commands. The user interface used by intelligent virtual assistants are text-to-text, text-to-speech and automatic speech recognition which are mainly used by end-users such as retail, BFSI, healthcare, telecom and others. The intelligent virtual assistants market research report is one of a series of new reports from The Business Research Company that provides intelligent virtual assistants market statistics, including intelligent virtual assistants industry global market size, regional shares, competitors with a intelligent virtual assistants market share, detailed intelligent virtual assistants market segments, market trends and opportunities, and any further data you may need to thrive in the intelligent virtual assistants industry. This intelligent virtual assistants market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry. The global intelligent virtual assistant market size grew from $9.61 billion in 2022 to $13.64 billion in 2023 at a compound annual growth rate (CAGR) of 41.9%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The intelligent virtual assistant market size is expected to grow to $44.34 billion in 2027 at a CAGR of 34.3%. The increasing demand for self-service options is driving the growth of the intelligent virtual assistant market. Self-service is a practice in which consumers access resources to solve problems on their own without the assistance of a service agent. Self-service grew alongside growing digital technologies as customers become more accustomed to shopping and chatting online. Self-service solutions are now available in almost every business, allowing customers to take a more active role in their journey. As the demand increases for self-service options, there will be an increase in the need to offer automated yet personalized chat service options to customers which are mostly provided through the implementation of intelligent virtual assistants. For instance, according to a recent survey in 2021 by OnePoll, a UK-based survey-led company, 58% of customers stated that they will continue to have more digital interactions in the future than they had before the COVID-19 pandemic as they were impressed by the quick, easy issue resolution received through digital channels, wherein, an intelligent virtual assistant is a critical component of digital self-service success. Therefore, the rising demand for self-service options drives the growth of the intelligent virtual assistant market. Technological advancement is a key trend gaining popularity in the intelligent virtual assistant market. Major companies operating in the intelligent virtual assistant market are focused on developing new technological solutions for intelligent virtual assistants such as user preferences and privacy features to strengthen their position in the market. These technologically advanced features in intelligent virtual assistants offer better accuracy and output, are easy to use, and protect the privacy of users. For instance, in June 2020, Google, Inc., a US-based technology company announced additional features for its artificial intelligence-based voice assistant ‘Google Assistant’. The main new feature includes voice match which allows smart speakers to recognize the voice of a specific user and personalize responses. In addition, in April 2022, Skoda Auto AS, a Czech Republic-based company mainly operating in motor vehicle manufacturing announced the expansion of its conversational AI solution ‘Laura’ to cover new European regions. Laura is an intelligent chatbot offering customers valuable information and helping in the process of new ŠKODA vehicle selection. It will be deployed in the respective native language, allowing for deeper levels of engagement and communication with customers across Europe. In October 2021, Accenture, a US-based leading global information technology company in the cloud, artificial intelligence, and telecom services acquired Umlaut for an undisclosed amount. As a result of this acquisition, Accenture's deep engineering capabilities will be greatly expanded to assist organizations to employ digital technologies such as cloud, artificial intelligence, and 5G to alter how they design, create, and manufacture products while also embedding sustainability. Umlaut adds more than 4,200 industry-leading engineers and consultants to Accenture's Industry X services, broadening the company's capabilities in areas such as automotive, aerospace and military, telecommunications, energy, and utilities. Umlaut is a German-based engineering consulting and services firm. Major players in the intelligent virtual assistant market are Amazon.com Inc., Apple Inc., IBM Corporation, Nuance Communications Inc., Alphabet Inc., Inbenta Technologies Inc., Microsoft Corporation, Baidu Inc., BlackBerry Ltd., Artificial Solutions, EGain Corporation, IPsoft Inc (Amelia), Avaamo, Alibaba Group, Xiaomi Inc and Oracle. North America was the largest region in the intelligent virtual assistants market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the intelligent virtual assistants market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the intelligent virtual assistants market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The intelligent virtual assistant market includes revenues earned by entities by providing services such as lead qualification, meetings scheduling, data entry, pipeline management, pre and post-event outreach. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global intelligent virtual assistant market is segmented - 1) By Product: IVA (Intelligent Virtual Assistant) Smart Speaker, Chatbots 2) By User Interface: Text-To-Text, Text-To-Speech, Automatic Speech Recognition 3) By End User: Retail, BFSI, Healthcare, Telecom, Other End Users

Big data and analytics is the use of certain advanced analytics techniques on big data or very large datasets to generate business insights. It begins with data collection with predefined templates and forms, followed by data maintenance, data processing, and data analysis. The main deployment mode of big data and analytics are on-premise and cloud. Cloud analytics is a service that performs data analysis and business intelligence operations in the cloud, either public or private. Cloud analytics firms assist enterprises in rapidly scaling by lowering the costs and administrative burden of on-premises hardware. The services are offered to small and medium-sized enterprises (SMEs), large Enterprises for customer analytics, supply chain analytics, marketing analytics, pricing analytics, spatial analytics, workforce analytics, risk & credit analytics, transportation analytics and others. The services are used by different industrial verticals such as transportation and logistics, BFSI, travel and hospitality, healthcare and life sciences, manufacturing, among others. The data and analytics services market research report is one of a series of new reports from The Business Research Company that provides data and analytics services market statistics, including data and analytics services industry global market size, regional shares, competitors with a data and analytics services market share, detailed data and analytics services market segments, market trends and opportunities, and any further data you may need to thrive in the data and analytics services industry. This data and analytics services market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry. The global big data and analytics services market size will grow from $121.65 billion in 2022 to $137.23 billion in 2023 at a compound annual growth rate (CAGR) of 12.8%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global big data and analytics services market size is expected to grow to $221.44 billion in 2027 at a CAGR of 12.7%. The increasing growth of integration of internet of things in daily lives is a key factor driving the growth of the big data and analytics services market. When organizations take a hold of the data for the purpose of research, IoT serves as a major source for that data and this is the point where the position of big data in IoT comes into the picture. IoT devices produce a huge amount of unstructured data, which are stored in the big data network and this data largely depends on 3V factors such as volume, velocity and variety. About 44 trillion gigabytes of data is were generated by the Internet of Things in the year 2020. With the increasing number of connected devices, in 2020, more than 10 billion sensors and computers were connected to the Internet. Therefore, increasing growth of internet of things is expected to drive the growth of the big data and analytics services market. The issues with integration of information collected from various data sources is a key factor hampering the growth of the big data and analytics services market. Big Data Integration integrates data from a variety of sources and software formats and offers a converted and coherent view of the collected data to the consumers. Data from a wide variety of sources use different priorities and rates and can be easily de-synchronized from the source system. For instance, many companies collect data from various sources such as customer relationship management (CRM) systems, enterprise resource planning (ERP) systems and specific types of data stored in different formats. However, such data variability could not be enabled by a single integration platform, everything must be homogenized for accurate and efficient analysis. Therefore, issues with integration of information collected from various data sources is expected to limit the growth of the big data and analytics services market. The continuous intelligence is a key trend in the big data and analytics services market. Continuous intelligence is a device that has combined real-time analytics with business operations, it makes use of historical and current knowledge to improve decision-making or to help make decisions. It leverages a variety of technologies such as optimization, business rule management, event stream processing, augmented analytics, and machine learning. Many companies leveraged continuous intelligence to achieve (or retain) a competitive advantage throughout 2020. Also, Gartner expects that by 2022 more than 50 per cent of the modern business structure will use continuous intelligence that uses real-time context data to improve decisions. In April 2022, Accenture PLC., an Ireland-based provider of consulting and information technology services acquired Ergo for an undisclosed amount. The acquisition is expected to expand Accenture’s Cloud First capabilities to support clients in the Hispanic South American market, which includes Argentina, Chile, and Colombia, in driving data-led transformations. Ergo is an Argentina-based data-centered business. Major players in the big data and analytics services market are IBM Corporation, Oracle Corporation, Microsoft Corporation, SAP SE, TIBCO Software Inc., Teradata Corporation, Amazon Web Services, SAS Institute Inc., Tableau Corporation, Alteryx, SiSense, Splunk Inc., Google, AWS, Talend, Salesforce, Micro Focus, HPE, MicroStrategy, Adobe, ThoughtSpot, Qlik, Informatica, Cloudera, Palantir Technologies, VMware Inc., Treasure Data, Inc., Striim, Splice Machine, Pentaho and New Relic. The Asia-Pacific was the largest region in the big data and analytics services market in 2022. Asia-Pacific is expected to be the fastest-growing region in the global big data and analytics services market during the forecast period. The regions covered in the global big data and analytics services market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the big data and analytics services market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The big data and analytics services market includes revenues earned by entities by offering services that are used in customer analytics, supply chain analytics, marketing analytics, transportation analytics, spatial analytics, risk and credit analytics. Big data analytics services examine vast amounts of data to uncover hidden trends, similarities, and other insights, enabling organizations to analyze and optimize their data to discover new opportunities. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global big data and analytics services market is segmented - 1) By Deployment Mode: On-Premise, Cloud, Other Deployment Mode 2) By Application: Customer Analytics, Supply Chain Analytics, Marketing Analytics, Pricing Analytics, Spatial Analytics, Workforce Analytics, Risk & Credit Analytics, Transportation Analytics., Other Applications 3) By Vertical: Transportation And Logistics, BFSI, Travel And Hopitality, Healthcare And Life Sciences, Manufacturing, Other Verticals 4) By Organization Size: Small and Medium-sized Enterprises (SMEs), Large Enterprises

Speech analytics is the process of using voice recognition software to analyze voice recordings or live calls from customers to contact centers, find useful information, and provide quality assurance. The components of speech analytics include solutions and services. The solutions in the speech analytics market consist of the sales of speech analytics solutions by entities (organizations, partnerships, and sole proprietors) that are used for analyzing the conversation. A speech analytics solution concentrates on words spoken during a recorded phone call. This technology organizes the content of agent-customer conversations by transforming speech into text. The deployment mode used by speech analytics includes on-premises and cloud. The speech analytics solutions and services are used in customer experience management, call monitoring and summarization, agent performance monitoring, sales and marketing management, risk and compliance management, and sentiment analysis, by large enterprises and small and medium-sized enterprises (SMEs). The industry verticals utilizing speech analytics solutions and services include banking financial services and insurance (BFSI), IT and telecom, media and entertainment, retail and eCommerce, travel and hospitality, government and defense, healthcare and life sciences, and other verticals. The speech analytics market research report is one of a series of new reports from The Business Research Company that provides speech analytics market statistics, including speech analytics industry global market size, regional shares, competitors with a speech analytics market share, detailed speech analytics market segments, market trends and opportunities, and any further data you may need to thrive in the speech analytics industry. This speech analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry. The global speech analytics market size grew from $2.13 billion in 2022 to $2.64 billion in 2023 at a compound annual growth rate (CAGR) of 24.0%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The speech analytics market size is expected to grow to $6.34 billion in 2027 at a CAGR of 24.5%. The high adoption of speech analytics by companies is significantly driving the growth of the speech analytics market. Since speech analytics help in problem identification, customer experience enhancement as well as sentiment analysis, companies across various industrial segments are adopting speech analytics rapidly. This creates a huge scope for future development of speech analytics technology by key companies through partnerships and strategic alliances. For instance, in September 2021, Scotiabank partnered with Google Cloud to strengthen the bank's cloud-first commitment and speed up its global speech, text, and data analytics strategy. Google Cloud, as a Scotiabank trusted partner for analytics, will assist Scotiabank customers in the Americas and around the world in creating a more personalized and predictive banking experience. This partnership helps Scotiabank to offer more customized banking services by adopting speech and data analytics using Google Cloud. Hence, the increasing adoption of speech analytics by companies is expected to propel the growth of the speech analytics market over the coming years. Using advanced technology is a key trend gaining popularity in the speech analytics market. Major companies operating in the speech analytics sector are focused on developing new technological solutions to strengthen their position. For instance, in April 2021, Verint released the Verint Intelligent Virtual Assistant Professional (IVA Pro) Package, a low-code conversational artificial intelligence (AI) offering that can transform existing conversation data into automated self-service experiences quickly. The package, which is included in Verint's market-leading Intelligent Virtual Assistant (IVA) offering, enables business professionals to quickly deploy a production-ready chatbot to deflect calls and provide customer support. With boundless intelligence for both voice and digital, Verint IVA enables businesses to expand capabilities across the enterprise. In January 2021, Pegasystems Inc., a software company based in the United States that specializes in reducing business complexity, completed the acquisition of Qurious.io, a California-based provider of cloud-based real-time speech analytics solutions for customer service teams powered by artificial intelligence (AI), for an undisclosed sum. This acquisition allows Pegasystems to expand its customer service and bring its intelligent speech analytics software to hundreds of the world's most important brands. Major players in the speech analytics market are NICE Ltd., Verint, Avaya Holdings Corporation, OpenText, Genesys, Calabrio Inc., Clarabridge, Castel Communications, VoiceBase, Google, Vonage, Micro Focus, Zoom International, Almawave, Talkdesk, Alvaria, and Hewlett Packard Enterprise Company. North America was the largest region in the speech analytics market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the speech analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the speech analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The speech analytics market includes revenues earned by entities by providing solutions that understand, analyse, and derive insights from a voice conversation by utilising AI services such as transcription, natural language processing, and speech technologies. Speech analytics is a software application that transcribes the voice calls and extracts deep insights, trends, and metrics from each one. These insights are then used to evaluate agent performance, assess customer experience, and track the organization's overall strengths and weaknesses in every voice interaction. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global speech analytics market is segmented - 1) By Components: Solutions, Services 2) By Deployment Mode: Cloud, On-premises 3) By Organization Size: Large enterprises, Small and Medium-Sized Enterprises (SMEs) 4) By Applications: Customer Experience Management, Call Monitoring and Summarization, Agent Performance Monitoring, Sales and Marketing Management, Risk and Compliance Management, Sentiment Analysis 5) By Vertical: Banking Finance Services and Insurance (BFSI), IT and Telecom, Media and Entertainment, Retail and eCommerce, Travel and Hospitality, Government and Defence, Healthcare and life sciences, Other Verticals

Information technology (IT) is the use of computers, storage, networking and other physical devices, infrastructure and processes to create, process, store, secure and exchange all forms of electronic data. The main type of information technology (IT) are IT services, computer hardware, telecom, and software products. Computer hardware is the physical components that a computer system requires to function and encompasses everything within a PC or laptop. The services are used by large, small, and medium enterprises of financial services, retail and wholesale, manufacturing, healthcare and others. The information technology (IT) market research report is one of a series of new reports from The Business Research Company that provides information technology (IT) market statistics, including information technology (IT) industry global market size, regional shares, competitors with information technology (IT) market share, detailed information technology (IT) market segments, market trends and opportunities, and any further data you may need to thrive in the information technology (IT) industry. This information technology (IT) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry. The global information technology market grew from $8179.48 billion in 2022 to $8852.41 billion in 2023 at a compound annual growth rate (CAGR) of 8.2%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The information technology market is expected to grow to $11995.97 billion in 2027 at a CAGR of 7.9%. The demand for cloud computing services is expected to drive the demand for IT services during the forecast period. In the cloud computing model, data is stored on the internet by a cloud computing provider, who manages and operates data storage as a service. Many companies are now choosing applications hosted in the cloud for their day-to-day operations. For example, according to statistics provided by hostingtribunal.com, 60% of computing workloads were running in the public cloud in 2019. Similarly, 94% of enterprise workloads are expected to be processed by cloud data centers in 2021. Companies are also opting for cloud-based data storage, thus boosting the demand for IT services. The outbreak of COVID-19 disease (COVID-19) has acted as a significant restraint on the information technology market in 2020 as supply chains were disrupted due to trade restrictions and employees working for these establishments faced difficulties related to infrastructure and communication owing to lockdowns imposed by governments globally, forcing them to work from home. COVID-19 is an infectious disease with flu-like symptoms including fever, cough, and difficulty in breathing. The virus was first identified in 2019 in Wuhan, Hubei province of the People’s Republic of China and spread globally, including Western Europe, North America, and Asia. Steps by national governments to contain the transmission have resulted in a decline in economic activity, with countries entering a state of 'lock down,' and the outbreak had a negative impact on businesses throughout 2020 and into 2021. However, it is expected that the information technology market will recover from the shock across the forecast period as it is a 'black swan event and not related to ongoing or fundamental weaknesses in the market or the global economy. Over the past five years there has been an increasing prevalence of low cost open source alternatives. Open source has become a preferred platform for developing new technology. In the past, software publishers would open source software that was not making money, but now companies are open sourcing software to increase their presence and share in the market. Supabase, a YC-incubated startup that offers developers an open-source alternative, announced that it had raised a $6 million in funding to create new open-source tools. Major companies in the information technology (IT) market include Apple, Microsoft, Verizon Communications, China Mobile, AT&T Inc., Huawei, Deutsche Telekom AG, Dell Technologies Inc., Samsung Electronics Co., Ltd. and Comcast Corporation. Asia-Pacific was the largest region in the information technology (IT) market in 2022. North America was the second largest region of the information technology market. The regions covered in the information technology market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the information technology (IT) market are Argentina, Australia, Austria, Belgium, Brazil, Canada, Chile, China, Colombia, Czech Republic, Denmark, Egypt, Finland, France, Germany, Hong Kong, India, Indonesia, Ireland, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Romania, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Thailand, Turkey, UAE, UK, USA, Venezuela and Vietnam. Major companies in the information technology (IT) market include Apple, Microsoft, Verizon Communications, China Mobile, AT&T Inc., Huawei, Deutsche Telekom AG, Dell Technologies Inc., Samsung Electronics Co., Ltd. and Comcast Corporation. Asia-Pacific was the largest region in the information technology (IT) market in 2022. North America was the second largest region of the information technology market. The regions covered in the information technology market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the information technology (IT) market are Argentina, Australia, Austria, Belgium, Brazil, Canada, Chile, China, Colombia, Czech Republic, Denmark, Egypt, Finland, France, Germany, Hong Kong, India, Indonesia, Ireland, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Romania, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Thailand, Turkey, UAE, UK, USA, Venezuela and Vietnam. The information technology (IT) market consists of revenues earned by entities by providing IT services such as computer networking, broadcasting, systems design services and information distribution technologies like television and telephones and other equipment used during the process. The market value includes the value of related goods sold by the service provider or included within the service offering. The information technology market also includes sales of computers, computer peripherals and telecommunications equipment which are used in providing IT services. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global information technology market is segmented - 1) By Type: IT Services, Computer Hardware, Telecom, Software Products 2) By Organization Size: Large Enterprise, Small and Medium Enterprise 3) End User Industry: Financial Services, Retail & Wholesale, Manufacturing, Healthcare, Other End User Industries Subsegments Covered: Hardware Support Services, Software And BPO Services, Cloud Services, Computer Peripheral Equipment, Computer Storage Devices And Servers, Computers, Wireless Telecommunication Carriers, Wired Telecommunication Carriers, Communications Hardware, Satellite & Telecommunication Resellers, Operating Systems & Productivity Software Publishing, Database, Storage & Backup Software Publishing, Business Analytics & Enterprise Software, Video Game Software, Design, Editing & Rendering Software

Artificial intelligence (AI) is a simulation of the human intelligence in machines that are programmed to think and behave like humans. AI helps to complete the job quickly and with relatively few errors. The main technology types of artificial intelligence are machine learning, natural language processing, context-aware computing, computer vision and others. Machine learning is an artificial intelligence (AI) program that allows systems to automatically learn and improve from experience without being explicitly programmed. The AI technology is offered through hardware, software and services that are used by healthcare, automotive, agriculture, retail, marketing, telecommunication, defense, aerospace, media and entertainment and other end use industries. The artificial intelligence market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence market statistics, including artificial intelligence industry global market size, regional shares, competitors with an artificial intelligence market share, detailed artificial intelligence market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence industry. This artificial intelligence market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry. The global artificial intelligence market size will grow from $56.89 billion in 2022 to $73.38 billion in 2023 at a compound annual growth rate (CAGR) of 29.0%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global artificial intelligence market size is expected to grow to $167.29 billion in 2027 at a CAGR of 22.9%. Growing investment in AI technologies contributed to the growth of the Artificial intelligence market. Many companies are investing in AI technologies or AI start-ups to increase the efficiency of AI software as AI enables them to make more informed decisions and achieve better results. For instance, Microsoft has invested around $1 billion in OpenAI a San Francisco company. The two companies had formed a partnership to develop AI supercomputing technologies on Microsoft's cloud Azure. AI is useful across multiple sectors. For instance, AI can lead to breakthroughs in R&D and diagnostics in healthcare sector, it can help make better forecasts in finance, and in manufacturing, it can increase production controls and efficiency. Therefore, rise in investment in AI technologies due to its advantages in every sector is driving the market for the Artificial Intelligence market. The limited number of AI Experts is a major challenge in the Artificial intelligence market. To develop the AI software the company needs AI experts, practitioners, and researchers. According to Tencent, a Chinese multinational technology conglomerate holding company, there are 300k AI researchers and practitioners worldwide, but the market demand is around millions of roles. The limited number of AI experts may harm the Artificial intelligence market. Automated machine learning is being implemented by many companies. It is quite complicated to apply traditional machine learning models for real-world business problems. The better solution is to use Automated machine learning which allows non-machine learning (ML) experts to use machine learning algorithms without being machine learning wizards. For instance, tools like Google cloud AutoML are used to train custom-made and high-quality ML models with a minimum ML expertise. In January 2020, Apple acquired a Seattle-based start-up xnor.ai for a deal amount of $200 million. The acquisition is expected to strengthen in delivering AI capabilities. Xnor.ai is a US-based designer and developer of hardware and software solutions. Major players in the artificial intelligence market are Google, IBM, Baidu, Microsoft, Apple Inc., Ipsoft, NVIDIA corporation, Samsung Electronics Co.Ltd., MicroStrategy Inc., Qlik Technologies Inc., Verint Systems Inc. (Next IT Corp), Qualcomm Technologies, Micron Technology, Xilinx Inc., Intel corporation, ARM Holding, Advanced Micro Devices Inc., Huawei Technologies Co.Ltd., SAP, Intel, Salesforce, Brighterion, KITT.AI, IFlyTek, Megvii Technology, Albert Technologies, H2O.ai, Brainasoft and Yseop. Asia-Pacific was the largest region in the artificial intelligence market in 2022. North America was the second largest region in the global artificial intelligence market. The regions covered in the global artificial intelligence market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the artificial intelligence market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The artificial intelligence market includes revenues earned by entities by offering artificial intelligence software. Artificial Intelligence (AI) is sometimes referred to as machine intelligence. Artificial intelligence is a wide-ranging branch of computer science-related to building smart machines that can perform tasks that require human intelligence. Values in this market are factory gate values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global artificial intelligence market is segmented - 1) By Offering: Hardware, Software, Services 2) By Technology: Machine learning, Natural language processing, Context-Aware Computing, Computer Vision, Other Technologies (Image processing, Speech recognition) 3) By End-user Industry: Healthcare, Automotive, Agriculture, Retail, Marketing, Telecommunication, Defense, Aerospace, Media & Entertainment, Other End-User Industries