Automatic content recognition refers to a client application's (typically a smartphone or media tablet app's) ability to identify a content element within its proximity to audio, video, or digital image by sampling a portion of the audio or video (or image), processing the sample, and comparing it with a source service that identifies content by unique characteristics such as audio or video fingerprints or watermarks. The automatic content recognition are used to help viewers or listeners remember details about the content they watched or heard. The main types of automatic content recognition are audio, video, & image recognition, voice & speech recognition, real-time content analytics, security & copyright management. Automatic content recognition is used by the audio, video, & image recognition for a computer-powered camera's capacity to recognize and detect objects or features in a digital image or video. Audio, video, & image recognition refer to software's capacity to recognize things, locations, people, writing, and actions in images. The components are of hardware, software which are deployed either on cloud, on-premises. The applications are audience segmentation & measurement, broadcast monitoring, advertisement targeting & pricing, content filtering, and other applications. The verticals include media and entertainment, consumer electronics, retail & e-commerce, education, and automotive. The automatic content recognition market research report is one of a series of new reports from The Business Research Company that provides automatic content recognition market statistics, including automatic content recognition industry global market size, regional shares, competitors with an automatic content recognition market share, detailed automatic content recognition market segments, market trends and opportunities, and any further data you may need to thrive in the automatic content recognition industry. This automatic content recognition 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 automatic content recognition market size grew from $3.41 billion in 2022 to $4.4 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 automatic content recognition market size is expected to grow to $12.62 billion in 2027 at a CAGR of 30.1%. The rising use of smart devices and content streaming services is expected to propel the growth of the automatic content recognition market. Smart TVs are essentially televisions with built-in streaming apps, that can stream content (video, music, movies, and sports) using a streaming device or app by connecting the TV or home theatre to the internet. Due to the pandemic (COVID-19), many people will be confined at home starting in 2020, and smart devices and content streaming devices are skyrocketed and increased the subscribers for content streaming platforms. For instance, in June 2022, counterpoint a US-based technology research company published an article in the economic times stating that the Indian smart tv market raised to 33% in Q1 2022. Currently, 89% of India's TV market is made up of smart TVs. In February 2021, the business standard published an article stating that amazon fire tv users are been doubled in 2020 in India. Amazon did not provide sales figures for India but stated that the number of monthly active fire TV users worldwide surpassed 50 million users. Therefore, demand for automatic content recognition will rise as the prevalence of the increasing use of smart devices and content streaming services rises. Technological advancement is a key trend gaining popularity in automatic content recognition. Major companies in the automatic content recognition market are advancing in their new technologies and research and developing the automatic content recognition market. For instance, in August 2021, LumenVox a US-based speech recognition software company launched a new generation of automatic speech recognition (ASR). The unique features of ASR are a transcription engine built with deep machine learning and artificial intelligence (AI), DNN's (Deep Neural Network) end-to-end architecture, and processing skills for speech recognition. The system is more accessible to users since it can grow the language model more quickly and provide new toolsets for adding additional languages and dialects. The development of this innovative technology is another step forward in automatic content recognition. In March 2021, Roku, Inc a US-based company that manufactures a variety of digital media players for video streaming acquired Nielsen Advanced Video Advertising (AVA) business, for an undisclosed amount. As a result, this acquisition will facilitate Roku's introduction of an all-encompassing DAI solution with TV producers. Additionally, a strategic agreement between Nielsen and Roku will expand Nielsen ONE, the company's cross-media measurement solution, by integrating complementary Nielsen ad and content measurement solutions onto the Roku platform. Nielsen Holdings a US-based information, data, and market measurement company. Major players in the automatic content recognition market are IBM Corporation, Microsoft Corporation, Google LLC, Digimarc Corporation, Apple Inc., Nuance Communications, Inc., ArcSoft Corporation Limited., ACRCloud, Audible Magic Corporation, Vobile, Inc., Kantar Media, Ivitec, VoiceInteraction, Gracenote, VoiceBase, Inc., and Beatgrid Media B.V. Asia-Pacific was the largest region in the automatic content recognition market in 2022 and is expected to be the fastest-growing region in the forecast period. The regions covered in automatic content recognition market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the automatic content recognition market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The automatic content recognition market consists of revenues earned by entities by providing speech recognition and optical character recognition. 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 automatic content recognition market is segmented - 1) By Type: Audio, Video And Image Recognition, Voice And Speech Recognition, Real-Time Content Analytics, Security And Copyright Management 2) By Component: Hardware, Software 3) By Deployment: Cloud, On-Premises 4) By Application: Audience Segmentation And Measurement, Broadcast Monitoring, Advertisement Targeting And Pricing, Content Filtering, Other Applications 5) By Vertical: Media And entertainment, Consumer Electronics, Retail And E-commerce, Education, Automotive

The content recommendation engine is a platform that uses data collection, data storage, data analysis, and data filtering to provide personalized content and suggestions to website visitors to optimize their experience, which leads to increased viewership and purchases. The content recommendation engine is used for predicting user behavior, based on user visits to a website or user profile and then recommend content, products, or services a customer is likely to consume or engage with. The main components of a content recommendation engine include solution and service. Content recommendation engine solutions include website development services, application development services for devices, software developments, and others. The different content recommendation engine filtration approaches include collaborative filtering, content-based filtering and hybrid filtering. The organization size for content recommendation engines is small and medium enterprises and large enterprises. The content recommendation engine verticals include e-commerce, media, entertainment, gaming, retail and consumer goods, hospitality, IT and telecommunication, BFSI, education and training, healthcare and pharmaceutical and other verticals. The content recommendation engine market research report is one of a series of new reports from The Business Research Company that provides content recommendation engine market statistics, including content recommendation engine industry global market size, regional shares, competitors with an content recommendation engine market share, detailed content recommendation engine market segments, market trends and opportunities, and any further data you may need to thrive in the content recommendation engine industry. This content recommendation engine 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 content recommendation engine market size grew from $4.48 billion in 2022 to $6.17 billion in 2023 at a compound annual growth rate (CAGR) of 37.7%. 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 content recommendation engine market size is expected to grow to $21.37 billion in 2027 at a CAGR of 36.4%. The rapid digitalization is expected to propel the growth of the content recommendation engine market. Digitalization is the use of various digital technologies and the increase in digital access to change a business model and value-producing opportunities to generate high revenue. According to the stats by Oberlo, the number of internet users worldwide increased from 4.02 billion in 2018 to nearly 4.95 billion by 2022. Content recommendation engines are widely used in many firms to optimize business operations and attract maximum customers, improve customer engagement and drive higher revenues. According to the article published by Barilliance Ltd., an Israel-based company that provides personalized solutions for e-commerce platforms and email marketing, in September 2021, approximately 31% of e-commerce revenue is generated from product recommendations. Therefore, rapid digitalization in businesses is driving the growth of the content recommendation engine market. New product innovation is the key trend gaining popularity in the content recommendation engine market. Major companies operating in the content recommendation engine market are focused on product innovations that could give better recommendation solutions used online business platforms and strengthen their position in the market. For instance, in June 2022, Algolia, a US-based company providing personalized solutions for e-commerce platforms, introduced its advanced recommendation platform based on hybrid filtering combined with artificial intelligence known as Algolia recommend spring. Hybrid filtering technology uses both filtering methods to fill gaps in prediction processes, such as content-based filtering for users’ current interests and collaborative filtering for preferences and behaviors of users this combination can provide an accurate prediction. The platform is an artificial intelligence-based recommendations engine integrated with a search and discovery platform to connect with users to provide relevant, actionable recommendations to enhance customer engagement. In April 2022, Taboola, a US-based company operating in content recommendation engine, acquired Gravity R&D for an undisclosed amount. Through this acquisition, Taboola aims to strengthen its product in the portfolio in content recommendations by providing personalized offers to customers to drive sales, increase average order sizes, and build customer loyalty to increase its market presence. Gravity R&D is a Hungry-based company operating in a content recommendation engine market. Major players in the content recommendation engine market are International Business Machines Corporation, Amazon Web Services Inc., RevContent, Taboola, Outbrain Inc., Cxense, Dynamic Yield Ltd., Curata Inc., boomtrain Inc., ThinkAnalytics, Kibo Software Inc., Certona Corporation, Uberflip, Recombee and Newzmate Inc., North America was the largest region in the content recommendation engine market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the content recommendation engine market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the content recommendation engine market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The content recommendation engine market consists of revenues earned by entities by providing content recommendation engine that are used for data collection and analysis based on user behavior. 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 content recommendation engine market is segmented - 1) By Component: Solution, Service 2) By Filtering Approach: Collaborative Filtering, Content-Based Filtering, Hybrid Filtering 3) By Organization Size: Small And Medium Enterprises, Large Enterprises 4) By Vertical: E-Commerce, Media, Entertainment, And Gaming, Retail And Consumer Goods, Hospitality, IT And Telecommunication, BFSI, Education And Training, Healthcare And Pharmaceutical, Other Verticals

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 analytics tools of big data and analytics are dashboard and data visualization, self-service tools, data mining and warehousing, reporting and others. Data visualization is the method of converting big data sets and metrics into charts, graphs, and other graphics. The resulting visual representation of data makes it easier to detect and convey real-time patterns, outliers, and fresh insights about the data. The analytics tools are deployed through on-premise and cloud mode for customer analytics, supply chain analytics, marketing analytics, pricing analytics, spatial analytics, workforce analytics, risk and credit analytics, transportation analytics and others. The big data tool and analytics are used by various end-use industries such as BFSI, retail, manufacturing, IT and telecom, government, healthcare, utility, others. The big data and analytics market research report is one of a series of new reports from The Business Research Company that provides big data and analytics market statistics, including big data and analytics industry global market size, regional shares, competitors with a big data and analytics market share, detailed big data and analytics market segments, market trends and opportunities, and any further data you may need to thrive in the big data and analytics industry. This big data and analytics 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 market size will grow from $92.06 billion in 2022 to $104.19 billion in 2023 at a compound annual growth rate (CAGR) of 13.2%. 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 global big data and analytics market size is expected to grow to $172.84 billion in 2027 at a CAGR of 13.5%. The growing investments in business intelligence, data analytics tools by major companies, and increasingly adopting different styles of analytics to resolve their business imperatives and personalize the service or product according to the customers' aspirations boosts the growth of the big data and analytics market. For instance, CostCo., a major retailer that collects its customer's data on purchases to provide personalized service was able to warn its customers who bought stone fruits to warn them of possible contamination using the analytics software instead of sending a blanket message to everyone. This increasing need to personalize the service to cater to the customers compels businesses to invest in data analytics tools, thereby increasing demand for the big data and analytics market. The shortage of skilled professionals is a major restraint for the big data and analytics market. Developing hardware, software and system integration require trained and specialized resources to handle data preparation, create predictive models, and integrate these into applications. The resources are either unavailable or too expensive to hire, which stifles the growth of the big data and analytics market. According to the US Bureau of Labor Statistics, 11.5 million new jobs will be created for data science and analytics by the year 2026. However, the lack of a skilled workforce to occupy the job vacancies hinders market growth. The agile process' success in software development and the development of the latest technologies have made it very popular in the innovation industry. Few leading-edge organizations use an agile approach to manage their data systems. Agile is a technique for designing applications or handling operations more effectively in IT organizations. Broadly, it's a collaborative methodology where cross-functional teams develop and create minimally viable products (MVPs) and features quickly, test them with consumers, and optimize and improve them in rapid iterations. The agile process helps to make changes in the workflow even in the later stages, which will help to work in the best interests of the client. Agile organizations have a 70% chance of being in the top quartile of organizational health, indicating the best long-term performance amongst competitors. These companies become more customer-centric, have higher revenue growth, and a more engaged workforce. In April 2022, Accenture, a global information technology company acquired Ergo for an undisclosed amount. The acquisition will broaden the Cloud First capabilities of Accenture and increases its customer base in the Hispanic South American market. Ergo is an Argentinian big data, analytics and artificial intelligence (AI) company. Major players in the big data and analytics market are IBM Corporation, Oracle Corporation, Microsoft Corporation, SAP SE, SAS Institute Inc., Teradata Corporation, Accenture, Salesforce, Cisco Systems, Tableau Software, Hewlett Packard Enterprise Development LP., Amazon Web Services,, Dell Inc., Cloudera, Musigma, Informatica, Alpine Data Labs, Alteryx, Amazon Web Services, BigML, Cognonto Corp., Couchbase, Inc., and Dataiku. Asia-Pacific was the largest region in the big data and analytics market in 2022. North America was the second largest region in the global big data and analytics market. The regions covered in the global big data and analytics market 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 market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The big data and analytics market includes revenues earned by entities by offering software used for data mining and predictive modeling. The sales consist of revenues generated by establishments that are primarily engaged in the development of software for big data and analytics like Hadoop, Tableau and Qubole. 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 big data and analytics market is segmented - 1) By Analytics Tools: Dashboard & Data Visualization, Self-Service Tools, Data Mining & Warehousing, Reporting, Other Analytics Tools 2) By Deployment Mode: On-Premise, Cloud 3) By End Use Industry: BFSI, Retail, Manufacturing, IT and Telecom, Government, Healthcare, Utility, Other End Use Industries 4) By Application: Customer Analytics, Supply Chain Analytics, Marketing Analytics, Pricing Analytics, Spatial Analytics, Workforce Analytics, Risk & Credit Analytics, Transportation Analytics, Other Applications

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

Business analytics (BA) is a set of technologies, skills, and practices used to examine an organization's data and performance to better understand and make data-driven decisions in the future using statistical analyses. Enterprise software is a computer application that assists large companies with many needs such as data analysis, sales and marketing management, customer service and many more. These tools are designed to serve many users with high scalability and integration. The main types of business analytics & enterprise software are ERP software, BI software, CRM software, SCM software and other software. ERP software is a software that is used by organizations to manage and plan daily activities of a business such as finance, manufacturing, supply chain, human resources and others. They are deployed using models such as on-demand/cloud model and on-premise model and are used in IT and telecommunications, BFSI, manufacturing, retail, healthcare, education, media and other end use industries. The business analytics & enterprise software market research report is one of a series of new reports from The Business Research Company that provides business analytics & enterprise software market statistics, including business analytics & enterprise software industry global market size, regional shares, competitors with a business analytics & enterprise software market share, detailed business analytics & enterprise software market segments, market trends and opportunities, and any further data you may need to thrive in the business analytics & enterprise software industry. This business analytics & enterprise software 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 business analytics & enterprise software market grew from $423.18 billion in 2022 to $486.54 billion in 2023 at a compound annual growth rate (CAGR) of 15.0%. 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 business analytics & enterprise software market is expected to grow to $837.88 billion in 2027 at a CAGR of 14.6%. Mobility is an integrated component of digital solutions and is transforming businesses on a global scale driving demand for IT services. It is an essential feature for customer experience management and for enhancing interaction amongst strategic partners and suppliers. It also provides greater access to information and services which can be integrated to execute critical business operations. The development and implementation of mobile applications requires IT services. For example, Tieto's competitive asset in mobility and Tieto's enterprise mobility solution framework offers customized solutions to companies operating in healthcare, logistics, telecommunications, energy and manufacturing verticals. The outbreak of COVID-19 disease (COVID-19) has acted as a significant restraint on the business analytics & enterprise software 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 business analytics & enterprise software 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 product companies would open source software that was not making money, but now companies are open sourcing software to increase its presence and share in the market. According to Allison Randal, President, Open Source Initiative, 78% of companies use open source solutions and 64% participate in open source projects indicating an increase in open source software platforms to build applications. In April 2021, International Business Machines Corporation (IBM), a US-based technology company announced the acquisition of Turbonomic, for $2 billion. This deal will help IBM to provide companies with solutions to overcome the high costs associated with managing performance and availability for multiple applications sharing an increasingly complex hybrid cloud environment. Turbonomic is a US-based enterprise software company. Major companies in the business analytics & enterprise software market include Oracle Corp, salesforce.com, Microsoft, Fiserv, Inc., Nippon Telegraph And Telephone Corp, NTT Data, International Business Machines Corporation, Workday, Inc., Leidos (US) and Atos SE. Asia-Pacific was the largest region in business analytics & enterprise software market in 2022. North America was the second largest region in business analytics & enterprise software market. The regions covered in the business analytics & enterprise software market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the business analytics & enterprise software market report 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 business analytics & enterprise software market includes revenues earned by entities by developing and distributing software that are used to analyze business data to better understand an organization's strengths and weaknesses. Enterprise software is a software used to satisfy the needs of an organization rather than individual users. Such organizations include businesses, schools, interest-based user groups, clubs, charities, and governments. 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 business analytics and enterprise software market is segmented - 1) By Type: ERP Software, BI Software, CRM Software, SCM Software, Other Software 2) By End-User Industry: IT and Telecommunications, BFSI, Manufacturing, Retail, Healthcare, Education, Media, Other End-User Industries 3) By Deployment Model: On-Demand/Cloud, On-Premise

SaaS is a software distribution model which allows data to be accessible from any device with an internet connection and a web browser. The software provider hosts and maintains the servers, databases, and code that comprise the application under this web-based approach. The main deployment types of software as a service (SaaS) are public cloud and private cloud. The public cloud is an IT model in which on-demand computing services and infrastructure are managed by a third party and shared by multiple organizations via the public Internet. The software is used by small and medium enterprises (SMEs), large enterprises for customer relationship management (CRM), enterprise resource planning (ERP), human resource management (HRM), manufacturing and operations and supply chain management (SCM). The various end users of the software include manufacturing, retail, education, healthcare, IT and telecom, BFSI and others. The software as a service (SaaS) market research report is one of a series of new reports from The Business Research Company that provides software as a service (SaaS) market statistics, including software as a service (SaaS) industry global market size, regional shares, competitors with a software as a service (SaaS) market share, detailed software as a service (SaaS) market segments, market trends and opportunities, and any further data you may need to thrive in the software as a service (SaaS) industry. This software as a service (SaaS) 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 software as a service (saas) market size will grow from $235.58 billion in 2022 to $253.62 billion in 2023 at a compound annual growth rate (CAGR) of 7.7%. 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 software as a service (saas) market size is expected to grow to $328.03 billion in 2027 at a CAGR of 6.6%. Rapid changes in business dynamics in the market are expected to benefit the software as a service (SaaS) market in the forecast period as cloud-based solutions support business operations in changing conditions. Dynamic market conditions include economic uncertainty, competitive rivalry and the increasing adoption of mobile, changing regulations, internet usage and applications. These conditions along with the increasing number of infrastructures and established networks have forced organizations to pursue scalable and flexible solutions such as SaaS and other cloud-enabled services to run and supervise their operations in a cost-effective and efficient way. These factors have also compelled companies to outsource applications and prefer cloud computing services like SaaS to reduce their cost burden on infrastructure. Companies that seek services from a third-party vendor are more likely to get better performance, compliance and customer satisfaction at a low cost. For example, Sony Communications aims at delivering innovative products and better experiences to its customers using automation and Infosys SaaS solutions. Infosys helped Sony to attain customer loyalty and win competition by providing robust IT solutions and design thinking at a low cost which helped Sony to have a competitive edge in the market. Increasing threats on data security especially on cloud platforms are expected to limit the growth of companies in the software as a service market during the forecast period. The threats on data security include industrial espionage and hacking which resulted in multiple breaches of data security involving public cloud environments. These breaches are mainly because of the negligence the cloud service providers. In addition, many companies lack trust in data security when outsourcing from a third-party vendor. As vendor has access to organizations' data, companies fear the misuse of data which might affect the organization's reputation. For example, Code Spaces, a former SaaS provider, discontinued its operations as hackers had access to its cloud services and stole all their data due to which Code Spaces faced damages to its reputation, finances, and business. The introduction of artificial intelligence is gaining popularity in the SaaS market. Artificial Intelligence (AI) is an area of computer science that focus on the simulation of human intelligence processes by machines. AI in SaaS helps companies to upgrade themselves from time to time with the latest data, create better user experience through predictive analytics, automate the areas where manual functions were required previously and personalize user interface features. For example, Oracle, a big player in SaaS market uses AI and machine learning to overtake salesforce in SaaS. This indicates that AI and machine learning would be differentiating factors for the growth of SaaS market. The General Data Protection Regulation (GDPR) break the split of regulations for the security of personal data in the European Union. It makes provisions to protect personal data and privacy of EU citizens for transactions that happen within EU member states. It also regulates the export of personal data outside the EU. There could be data-subjects that patronize the subscriber that are located in the EU, even if a single SaaS subscriber is based in a non-EU location and the SaaS application is based in a non-EU location. This may cause the subscriber to follow the GDPR regulations. For instance, Intercom, a US-based SaaS provider is shortening its time of storing data on visitors to customers' sites by deleting the visitor data if a visitor has not been seen for nine months to comply with the GDPR. In October 2021, Microsoft Corporation acquired Ally.io for an undisclosed amount. With this acquisition, Ally.io has become a member of the Microsoft Viva family as part of its employee experience platform (EXP) designed to assist businesses in embracing the new digital work life. Ally.io is a US-based SaaS startup. Major players in the Software as a Service (SaaS) market are Salesforce, ServiceNow, Microsoft, Google, CisCo., Slack, Adobe, Oracle, Amazon AWS, DocuSign, Zendesk, Dropbox, ADP, Atlassian Confluence, Shopify, Workday, Hubspot, SAP, IBM, Box, Concur, JIRA, GitHub, GoToMeeting, Twilio, CoupaSoftware, Xero and Zuora. North America was the largest region in the Software as a Service (SaaS) market in 2022. Western Europe was the second largest region in the global Software as a Service (SaaS) market. The regions covered in the global Software as a Service (SaaS) market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the software as a service (SaaS) market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The software as a service (SaaS) market includes revenues earned by entities by providing cloud based software services. SaaS is a software solution that can be purchased on a subscription or pay per use basis to use an application for organizational purposes. Customers can access this application over the internet, mainly through a web browser. All software and application data is located in the service provider's data center. SaaS allows an organization to run an application with minimal upfront costs and accelerates the overall functionality of the organization. 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 software as a service (SaaS) market is segmented - 1) By Application: Customer Relationship Management (CRM), Enterprise Resource Planning (ERP), Human Resource Management (HRM), Manufacturing and Operations, Supply Chain Management (SCM) 2) By Deployment Model: Public Cloud, Private Cloud, Hybrid Cloud 3) By Enterprise Size: Small & Medium Enterprises (SMEs), Large Enterprises 4) By End User: Manufacturing, Retail, Education, Healthcare, IT & Telecom, BFSI, Other End-Users

Content streaming refers to the continuous transmission of audio or video data from a server to a computer or mobile device over the Internet for real-time playback. The main types of platforms in content streaming are smartphones, laptops & desktops, smart TVs, and gaming consoles. Smartphone refers to a handheld electronic device that will be providing a connection to a cellular network. The different types include on-demand video streaming, live video streaming and are deployed in various modes such as cloud, on-premise. it is used in several sectors including consumer, enterprise. The content streaming establishment market research report is one of a series of new reports from The Business Research Company that provides content streaming establishment market statistics, including content streaming establishment industry global market size, regional shares, competitors with a content streaming establishment market share, detailed content streaming establishment market segments, market trends and opportunities, and any further data you may need to thrive in the content streaming establishment industry. This content streaming establishment 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 content streaming market size will grow from $121.75 billion in 2022 to $138.60 billion in 2023 at a compound annual growth rate (CAGR) of 13.8%. 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 content streaming market size is expected to grow to $223.94 billion in 2027 at a CAGR of 12.7%. The increase in the number of devices that are capable of supporting digital media (such as smartphones, tablets, laptops, desktops, and smart TVs) along with increased internet access speed with better networks, coverage, and advanced technologies (3G, 4G / LTE) has provided consumers with an option to access the media content of his/her choice such as information, entertainment or social activity anytime, anywhere. Moreover, the rise in digital media players such as Netflix, Hulu, Amazon, Apple TV, Roku, and Boxee has shown a tremendous increase in online media consumption. Thus, the increase in the number of mobile devices, internet connectivity, and digital media players or content providers makes it easier for consumers to access music and video content going forward which thereby increases the growth of the content streaming market in the forecast period. The bandwidth limitations and reliability issues restrain the content streaming market. The quality of the video or audio streaming highly depends on the data transfer rate of a network or Internet connection, the total time required for a packet of data to travel from one point to another, and the capacity of the network to offer consistent services. The bandwidth is important for high-quality video streaming, as sending large amounts of video and audio data over the Internet requires large data transfer with a maximum transfer rate. The higher quality video uses more bandwidth than lower quality video. Any long-term disruption of Internet services related to bandwidth, latency, and network reliability can limit the quality of video/audio streaming and thereby halt the growth of the content streaming market. Companies in the video streaming market are increasingly implementing blockchain technology and AI to have cost benefits. Blockchain technology allows the video streaming providers to store data on thousands of servers globally that help the companies to have cost cuts associated with the content or massive video files stored on servers. For instance, Video Coin, a video streaming providing startup is thinking to invest in implementing blockchain technology to provide video content at lower prices. Also, the companies in the video streaming market are using artificial intelligence to improve their content quality. For instance, streaming services such as Netflix, Amazon Prime, and Spotify make use of machine learning a subset of artificial intelligence (AI) to improve the user experience by tracking the user’s interests and recommending the content of user interest. AI also improves video quality by reducing video buffering through video compression. In July 2021, Carlyle, a US-based private equity firm, acquired LiveU for an undisclosed amount. The acquisition would integrate deep experience in the media tech industry with LiveU’s customer base. LiveU is a US-based live video streaming platform. Major players in the content streaming market are Netflix, Amazon Web Services, Akamai Technologies Inc., Hulu, LLC., Apple Inc., Google LLC., Cisco Systems Inc., Walt Disney Company (Hulu), Kaltura, Inc., and AT&T Inc. North America was the largest region in the content streaming market in 2022. Africa is expected to be the fastest-growing region in the global content streaming market during the forecast period. The regions covered in the global content streaming establishment report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the content streaming market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The content streaming market includes revenues earned by entities by providing textual, audio, and/or video content of general or specific interest on the internet exclusively. The content streaming establishments do not publish or broadcast traditional (non-internet) versions of the content. This market includes from sales from subscription, advertisement. 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 content streaming market is segmented - 1) By Platform: Smartphones, Laptops & Desktops, Smart TVs, Gaming Consoles 2) By Type: On-Demand Video Streaming, Live Video Streaming 3) By Deployment: Cloud, On-Premise 4) By End User: Consumer, Enterprise

The content delivery network refer to a geographically dispersed network of servers that collaborate to deliver internet material quickly. A well-built CDN may also help protect websites from common malicious attacks. A content delivery network is used for the rapid transfer of assets required for internet content loadings, such as HTML pages, JavaScript files, stylesheets, pictures, and videos. The main types of content delivery networks are static content and dynamic content. Static content is any file that is kept on a server and is served to users, in the same way, each time. This type of information includes HTML files and photos. The various components include services and solutions. The provider types are traditional CDN, cloud CDN, P2P CDN, and telecom CDN. The various end-users of the content delivery network are media and entertainment, advertising, e-commerce, healthcare, business, and financial services, research and education, and other end-users. The content delivery network market research report is one of a series of new reports from The Business Research Company that provides content delivery network market statistics, including content delivery network industry global market size, regional shares, competitors with a content delivery network market share, detailed content delivery network market segments, market trends and opportunities, and any further data you may need to thrive in the content delivery network industry. This content delivery network 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 content delivery network market size grew from $19.45 billion in 2022 to $23.01 billion in 2023 at a compound annual growth rate (CAGR) of 18.3%. 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 content delivery network market size is expected to grow to $46.26 billion in 2027 at a CAGR of 19.1%. The increase in usage of the internet and smart devices is expected to propel the growth of the content delivery network market. The number of smartphone users has increased significantly over the world due to its ease and the services offered. These services provide door-to-door services to their users which makes them convenient for use. Smartphones have access to the internet that provides a better outlook on the various social media applications where content is generated and uploaded every second. According to Bankmycell, a buyback mobile store in the USA, in 2022, the number of smartphones users are 6.648 billion globally is 83.89 % of the population. Moreover, there are 7.92 billion mobile connections in the world. It is predicted that by 2025, 72 % of all internet users will access the internet only through their smartphones. Such rising usage of the internet and smart devices is expected to drive the market. The agreement and collaboration among the companies is a key trend gaining popularity in the content delivery network market. These agreements and collaborations are intended to aid in the creation, transfer, and implementation of new techniques, as well as the execution of collaborative projects that emphasize collaboration, peer learning, and experience sharing. In March 2021, Ingram Micro Cloud, a US-based company announced a new global strategic collaboration agreement with AWS. Ingram Micro Cloud and AWS will accelerate initiatives to grow reach and footprint in existing geographic regions and expand into new geographic markets throughout EMEA, LATAM, and ASEAN countries during this multi-year worldwide partnership. Through the Ingram Micro Cloud Marketplace, Ingram Micro Cloud hopes to increase AWS adoption with emerging ISVs while also encouraging more adoption of AWS solutions among SMB clients. In March 2021, Deutsche Telekom a German-based company announced a partnership agreement with Amazon Web Services to help businesses manage their digital transformations more quickly, efficiently, and securely. T-Systems cloud solutions will provide customers with speedier application cloud migration, compute and storage solutions, and increased security. In May 2020, Verizon Communications a US-based company that pioneered smartphone deals and wireless plans on the largest 4G LTE network acquired Blue Jeans for an undisclosed amount. Through this acquisition, both the companies will integrate and provide a platform to its customers that will use BlueJeans enterprise-grade video experience on Verizon's high-performance global networks. BlueJeans is a US-based company that offers a cloud-based video conferencing service that links participants from a variety of devices and conferencing platforms. Major players in the content delivery network market are Akamai Technologies, Microsoft Corporation, Google LLC, AT&T, Amazon Web Services Inc., Limelight Networks, Fastly Inc., Cloudflare Inc., Verizon, IBM Corporation, Tata Communications Ltd., OnApp Limited, QUANTIL, Alibaba, Citrix Systems, Lumen Technologies, StackPath LLC, Deutsche Telekom AG, G-Core Labs S.A, Rackspace Technology, Tencent Cloud, Imperva Inc., CDNetworks Co. Ltd., DataCamp Limited, Sucuri Inc., CacheNetworks LLC, Leaseweb, and Internap Holding LLC. North America was the largest region in the content delivery network market in 2022. The regions covered in the content delivery network market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the content delivery network market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, and USA. The content delivery network market includes revenues earned by entities by providing various services such as live streaming media services, on-demand video streaming media services, end to end contact delivery services. 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 content delivery network market is segmented - 1) By Content Type: Static Content, Dynamic Content 2) By Component: Solution, Services 3) By Provider Type: Traditional CDN, Cloud CDN, P2P CDN, Telecom CDN 4) By End-User: Media And Entertainment, Advertising, E-Commerce, Healthcare, Business And Financial Services, Research And Education, Other End-users