Global Healthcare Education Market

The advanced analytics refer to a data analysis methodology that uses predictive modeling, machine learning algorithms, deep learning, business process automation, and other statistical approaches to analyze corporate data from a variety of data sources. Advanced analytics makes use of data science, which includes mature methods of analysis, to forecast future trends and predict the possibility of prospective events. While basic business intelligence and analytics can provide a picture of the business, advanced analytics can estimate future patterns or outcomes for a more in-depth insight into the organization. Advanced analytics provides a broader set of capabilities to cope with difficulties that typical backward-looking BI cannot, allowing for more strategic decision-making in the future. The main types of advanced analytics are big data analytics and predictive analytics. Big data is a discipline concerned with ways of analyzing, methodically extracting information from, or otherwise dealing with data volumes that are too large or complex for standard data-processing application software to manage. It is based on components of services and solutions and can be deployed on-premise and cloud modes. It is used in various organizations such as large enterprises, small and medium-sized enterprises (SMEs), and across various verticals such as banking financial services and insurance (BFSI), IT and telecom, retail and consumer goods, healthcare and life sciences, transportation, and logistics, government and defense, manufacturing, media and entertainment, and other verticals. The advanced analytics market research report is one of a series of new reports from The Business Research Company that provides advanced analytics market statistics, including advanced analytics industry global market size, regional shares, competitors with a advanced analytics market share, detailed advanced analytics market segments, market trends and opportunities, and any further data you may need to thrive in the advanced analytics industry. This advanced 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 advanced analytics market size grew from $33.47 billion in 2022 to $40.65 billion in 2023 at a compound annual growth rate (CAGR) of 21.4%. 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 advanced analytics market size is expected to grow to $92.9 billion in 2027 at a CAGR of 23.0%. Growing usage of analytical solutions is likely to propel the growth of the advanced analytics market. The analytical solutions are increasingly being used in various industries such as retail, agriculture, banking, and so on for demand forecasting, trade promotion optimization, and behavior analytics. Analytical solutions provide solutions to a problem that has already occurred. However, advanced analytics predicts future instances based on the trends of the past. Both of these are interrelated and when combined provide solutions and forecasts. For instance, in January 2020, according to the Willis Towers Watson Public Limited Company’s survey 2020, a UK-based multinational insurance advisor company, approximately 77% of insurance businesses want to apply advanced analytics on consumer data, and 54% of those organizations have already started doing so. Moreover, due to the usage of advanced analytics, 86% of respondents report seeing a positive impact on bottom-line performance, and 68% report seeing a good impact on top-line performance already. Such rising demand and investments in analytical solutions are expected to drive the market. Technology advancement is a key trend gaining popularity in the advanced analytics market. Introducing new technologies or technology advancements will help the growth of the advanced analytics market rapidly and provide an enhanced product to the customers. For instance, in August 2021, CROSSMARK, a sales and marketing services agency, announced the national introduction of Accelerator, a state-of-the-art data analysis platform for CPG sales and marketing activities. The product uses big data technology to combine the largest data sets in the CPG industry with best-in-class analytics horsepower to deliver intuitive visualization of analytical tasks critical for smarter selling and faster growth. By employing machine learning (AI) capabilities and integrating new data sources, the platform is designed to grow over time. In February 2021, Trendline Interactive, a digital messaging consulting and professional services firm based in the US, announced the acquisition of Data Insight Group Inc., for an undisclosed amount. This acquisition helps further boost Trendline’s data science and analytics services to better support its customers understand their data and more effectively leverage its value. Data Insight Group (DiG) is a US-based customer data analytics consultancy supporting mid-to-large organizations to make sense of their data to drive customer strategy. Major players in the advanced analytics market are IBM Corporation, Oracle Corporation, Dell Technologies Inc., Microsoft Corporation, RapidMiner Inc., Altair Engineering Inc., Fair Isaac Corporation, KNIME AG., Statsoft, Teletrac Navman Ltd., Procon Analytics, IMS Software Inc., and CloudMade. North America was the largest region in the advanced analytics market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the advanced analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the advanced analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, and USA. The advanced analytics market includes revenues earned by entities by providing services such as data/text mining, machine learning, pattern matching, forecasting, visualization, semantic analysis. 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 advanced analytics market is segmented - 1) By Type: Big Data Analytics, Predictive Analytics 2) By Component: Solution, Services 3) By Deployment Mode: Cloud, On-Premises 4) By Organization Size: Large Enterprises, Small And Medium-Sized Enterprises (SMEs) 5) By Vertical: Banking Finance Services And Insurance (BFSI), IT And Telecom, Retail And Consumer Goods, Healthcare And Life Sciences, Transportation And Logistics, Government And Defence, Manufacturing, Media And Entertainment, Other Verticals

Procurement analytics refers to software which automates spend analysis and purchase analysis and operates completely organizations’ expenditure through an insightful dashboard. These procurement analytics solutions collect data from various sources such as ERPs, process raw data into use-case taxonomies, and display in visualization dashboards. The main components of procurement analytics are solutions and services. The procurement analytics solutions refer to procurement analytics software and tools that operate on on-premise or cloud platforms. The key applications of procurement analytics include supply chain analytics, risk analytics, spend analytics, demand forecasting, contract management, vendor management, and category management. They are used by end-use industries ranging from retail and e-commerce, manufacturing, government and defense, healthcare and life sciences, telecom and IT, energy and utilities, banking, financial services, and insurance (BFSI), others. The procurement analytics market research report is one of a series of new reports from The Business Research Company that provides procurement analytics market statistics, including procurement analytics industry global market size, regional shares, competitors with a procurement analytics market share, detailed procurement analytics market segments, market trends and opportunities, and any further data you may need to thrive in the procurement analytics industry. This procurement 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 procurement analytics market size grew from $4.08 billion in 2022 to $4.88 billion in 2023 at a compound annual growth rate (CAGR) of 19.8%. 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 procurement analytics market size is expected to grow to $10.26 billion in 2027 at a CAGR of 20.4%. Growth in e-commerce and the organized retail industry is expected to propel the growth of the procurement analytics market. E-commerce refers to a medium used by customers and vendors to buy or sell goods and services from the Internet from websites, applications and others through computers, tablets, smartphones, and other smart devices. Procurement analytics is widely used by e-commerce giants and organized retail stores, as it offers data-driven analysis of customer behaviours and spending analysis. For instance, in December 2021, according to the Indian brand equity foundation, e-commerce turnover in India reached $50 billion in 2020 and evolved as the eighth-largest market for e-commerce across the globe, and it is predicted to reach $350 billion by 2030. Thus, an increase in usage of e-commerce and the organized retail industry is expected to boost demand for procurement analytics during the forecast period. Technological advancements such as artificial intelligence (AI) and cognitive computing are gaining popularity in the procurement analytics market. Major companies operating in the procurement analytics sector are focused on developing and implementing new technological solutions such as AI to expand their product portfolio and strengthen their position in the market. For instance, in April 2020, Digitate, a software venture of Tata Consulting Services, launched ignio Cognitive Procurement, to assist enterprises in making data-driven decisions making. This product utilizes AI/ML to increase the speed and accuracy of the process and assist enterprises in understanding procurement behaviour, monitoring transactions, and others. In February 2020, McKinsey & Company, a US-based management consulting company, acquired Orpheus GmbH for an undisclosed amount. The acquisition by McKinsey & Company is focused on expanding its product offering related to digital process solutions, and expanding its business presence across the globe. Orpheus GmbH, is a Germany-based company involved offering to spend analytics solutions. Major players in the procurement analytics market are SAP, Oracle, Coupa Software, Genpact, Rosslyn Data Technologies, IBM, Cisco, Microsoft Corp., BirchStreet Systems LLC, Sievo, Corcentric, Zycus, Amazon Web Services, Inc., and JAGGAER LLC. North America was the largest region in the procurement analytics market in 2022 and is also expected to be the fastest-growing region in the forecast period. The regions covered in the procurement analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the procurement analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The procurement analytics market includes revenues earned by entities by providing services such as identifying need, supplier evaluation and selection, purchase order, and delivery. 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 procurement analytics market is segmented - 1) By Component: Solutions, Services 2) By Deployment Mode: Cloud, On-Premises 3) By End User: Retail and E-commerce, Manufacturing, Government and Defense, Healthcare and Life Sciences, Telecom and IT, Energy and Utilities, Banking, Financial Services, and Insurance, Other End Users 4) By Application: Supply Chain Analytics, Risk Analytics, Spend Analytics, Demand Forecasting, Contract Management, Vendor Management, Category Management

The healthcare predictive analytics refer to software solutions used for analyzing and processing patient data to deliver data-based, high-quality care, precise diagnoses, and individualized treatments, by healthcare organizations, hospitals, and doctors. Predictive analytics in healthcare is an advanced method for improving patient outcomes. By examining data and results from previous patients, machine learning algorithms can be programmed to provide insights into the best treatment for current patients. The main components of healthcare predictive analytics include services, software, and hardware. The services offered through healthcare predictive analytics solutions include detecting the early signs of the patients’ condition deterioration, risk scoring for chronic illnesses, preventing patient suicide and self-harm, reducing hospital readmission rates, and other services. The delivery models of healthcare predictive analytics include stand-alone and integrated, and they are used for operations management, financial, population health management, and clinical. The end-users of predictive analytics services include healthcare payers and healthcare providers. The healthcare predictive analytics market research report is one of a series of new reports from The Business Research Company that provides healthcare predictive analytics market statistics, including healthcare predictive analytics industry global market size, regional shares, competitors with a healthcare predictive analytics market share, detailed healthcare predictive analytics market segments, market trends and opportunities, and any further data you may need to thrive in the healthcare predictive analytics industry. This healthcare predictive 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 healthcare predictive analytics market size grew from $13.7 billion in 2022 to $17.23 billion in 2023 at a compound annual growth rate (CAGR) of 25.8%. 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 healthcare predictive analytics market size is expected to grow to $42.91 billion in 2027 at a CAGR of 25.6%. The increasing adoption of electronic health records over manual records is driving the growth of the healthcare predictive analytics market. An EHR is a digital representation of a patient's medical history that the physician keeps track of throughout time. It may include all critical administrative and clinical data relevant to that person's care under a specific provider, such as demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data, and radiology reports. Electronic health records are increasingly used because they are a digital version of manual records and are not vulnerable to wear and tear or don't get destroyed easily. For instance, in 2022, according to HealthIT.gov's report on 'Adoption of Electronic Health Records by Hospital Service Type 2019-2021', between 2019 and 2021, 86% of general acute care hospitals, 40% of rehabilitation hospitals, and 23% of specialty hospitals used a 2015 Edition certified electronic health record (EHR). Thus, the increasing adoption of electronic health records will propel the healthcare predictive analytics market. Technological advancement is a key trend gaining popularity in the healthcare predictive analytics market. The companies operating in the healthcare predictive analytics are focusing on incorporating innovative technologies such as artificial intelligence to improve productivity, lowers costs, and improves patient care and health outcomes. In September 2020, EVERSANA, a US-based life sciences commercial services company, launched ACTICS. ACTICS is the technology-enabled approach that helps life science enterprises maximize their commercial success. ACTICS offers the cloud-based solution that pharmaceutical innovators require, to improve actions in the product and patient journeys by combining the power of AI-driven predictive analytics with ready-to-deploy real-time commercial services. In January 2022, Huron, a Chicago-based consulting firm offering services to the healthcare, life sciences, commercial, and higher education industries, acquired Perception Health Inc. for an undisclosed amount. Through this acquisition, clients will receive data insights from Huron and Perception Health across the care continuum to better detect and manage risks for patients and communities. Huron's healthcare predictive analytics and data capabilities are strengthened by the acquisition, enabling Huron to assist clients in finding patterns and insights that will improve patient care and help them make better data-driven decisions. Perception Health Inc., is a US-based disease prediction platform with precise data sets that give healthcare professionals access to a previously unavailable and actionable predictive dimension. Major players in the healthcare predictive analytics market are Allscripts Healthcare Solutions, Cerner Corporation, IBM Corporation, Cotiviti, Inc., Oracle Corporation, Health Catalyst, Inovalon, Inc., Optum, Inc., Citiustech, McKesson Corporation, Medeanalytics, Information Builders, Inc., IQVIA, Truven Health Analytics, Inc., and Health Fidelity, Inc. North America was the largest region in the healthcare predictive analytics market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the healthcare predictive analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the healthcare predictive analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The healthcare predictive analytics market consists of revenues earned by entities by providing neural networks, decision trees, and regression. 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 healthcare predictive analytics market is segmented - 1) By Component: Services, Software, Hardware 2) By Delivery Model: Stand Alone, Integrated 3) By Application: Operations Management, Financial, Population Health Management, Clinical 4) By End Use: Healthcare Payers , Healthcare Providers

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

Predictive analytics refers to the use of statistics and modelling techniques based on current and historical data to determine future performance and make predictions about future outcomes. Predictive analytics are used to determine customer response to promote cross-sell opportunities and purchases. The main components of the predictive analytics market are solutions and services. The predictive analytics solutions refers to the elements that enable data scientists and event managers to conduct and analyze forecasts and predictions. Predictive analytics solution includes financial analytics, risk analytics, marketing analytics, sales analytics, customer analytics, web and social media analytics, supply chain analytics, and network analytics. Predictive analytics can be deployed by cloud and on-premises and in large enterprises and small and medium-sized enterprises (SMES). It is used in verticals such as BFSI, manufacturing, retail, and ecommerce, government and defense, healthcare and life sciences, energy and utilities, telecommunications and IT, transportation and logistics, media and entertainment and travel and hospitality. The predictive analytics market research report is one of a series of new reports from The Business Research Company that provides predictive analytics market statistics, including predictive analytics industry global market size, regional shares, competitors with a predictive analytics market share, detailed predictive analytics market segments, market trends and opportunities, and any further data you may need to thrive in the predictive analytics industry. This predictive 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 predictive analytics market size grew from $11.83 billion in 2022 to $14.72 billion in 2023, at a compound annual growth rate (CAGR) of 24.4%. 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 predictive analytics market size is expected to grow to $34.43 billion in 2027 at a CAGR of 23.7%. The rising adoption of big data and other related technologies is expected to drive the growth of the predictive analytics market. Big data refers to the data management system that is used to input more data during the processing of the large data sets. The rise in the adoption of big data-related technologies in many industries leads to the innovation of new technology. Some of the new technologies used in predictive analytics are edge computing, streaming analytics, artificial intelligence, in-memory databases, data lakes, and blockchain. For instance, in March 2021, according to Fusion Alliance, a US-based website designer, in every passing moment, the pace of data creation continues to compound, more than 200 million emails sent, millions of dollars in e-commerce transacted, 50 hours of YouTube videos uploaded, millions of Google searches launched, tens of millions of photos shared. Also, nearly 53% of the companies are adopting big data analytics according to a study by Dresner Advisory Services in 2022. Therefore, the rising adoption of big data and other related technologies is expected to drive the growth of the predictive analytics market. Increasing adoption of cloud is a key trend gaining popularity in the predictive analytics market. Cloud adoption is an important move by organizations for reducing cost, mitigate risk, and to achieve scalability of database capabilities. Cloud adoption is everywhere in the business world acts as a crucial pipeline in digital empowerment, bringing innovation and growth for an enterprise, cloud strategies provide a platform to act as a storage hub and deliver computation. For instance, in November 2021, according to O’Reilly, an American publishing company, 90% of the organization has adopted cloud computing, during last year 88% of the respondent of the survey used cloud, and 75% of the respondents who work in the organization use cloud, more than 50% of the respondent wanted to shift their application to cloud computing, and 20% plan to migrate all their application. In January 2021, TIBCO Software Inc., an America-based business intelligence software company acquired Information Builders, Inc., for an undisclosed amount. With this acquisition, TIBCO will focus on the support to expand customer-based and worldwide partner networks. Information Builders Inc. is a US-based software company that provides services in the fields of business intelligence, data integration, and data quality solutions. Major players in the predictive analytics market are IBM, Microsoft, Oracle, SAP, SAS Institute, Google, Salesforce, Alteryx, FICO, AWS, HPE, Teradata, Altair, Domo, Cloudera, Board International, TIBCO Software, Hitachi Vantara, Qlik, Happiest Minds, Dataiku, RapidMiner, Aito.Ai, Symend, Unioncrate, Actify Data Labs, and Information Builders. North America was the largest region in the predictive analytics market in 2022. The regions covered in the predictive analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the predictive analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The predictive analytics market includes revenues earned by entities by providing predictive models, descriptive models, and decision models. 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 predictive analytics market is segmented - 1) By Component: Solutions, Services 2) By Deployment Mode: Cloud, On-Premises 3) By Organization Size: Large Enterprises, Small And Medium-Sized Enterprises (SMEs) 4) By Vertical: BFSI, Manufacturing, Retail And Ecommerce, Government And Defense, Healthcare And Life Sciences, Energy And Utilities, Telecommunications And IT, Transportation And Logistics, Media And Entertainment, Travel And Hospitality

Healthcare fraud analytics refers to on-premise and on-demand analytical solutions that assist in identifying issues such as duplication/repetition of claims and errors in claim healthcare operations and applications. Healthcare fraud analytics aims to help healthcare companies to audit their accounts and find out fraudulent activities in various transactions. It identifies frauds related to billings, claims, prepayment, post payments, and payment integrity. The main type of solutions in healthcare fraud analytics are descriptive analytics, predictive analytics, prescriptive analytics. Descriptive analytics is a process of using current and historical data to identify trends and relationships. Healthcare fraud analytic solutions are deployed on-premise and on-demand, and they are widely used for insurance claims review, postpayment review, prepayment review, pharmacy billing misuse, payment integrity, other applications. Healthcare fraud analytics are used by public & government agencies, private insurance payers, third-party service providers. The healthcare fraud analytics market research report is one of a series of new reports from The Business Research Company that provides healthcare fraud analytics market statistics, including healthcare fraud analytics industry global market size, regional shares, competitors with a healthcare fraud analytics market share, detailed healthcare fraud analytics market segments, market trends and opportunities, and any further data you may need to thrive in the healthcare fraud analytics industry. This healthcare fraud 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 healthcare fraud analytics market size grew from $2.43 billion in 2022 to $3.09 billion in 2023 at a compound annual growth rate (CAGR) of 27.0%. 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 healthcare fraud analytics market size is expected to grow to $8 billion in 2027 at a CAGR of 26.9%. A large number of fraudulent activities in the healthcare sector contribute to the growth of the healthcare fraud analytics market. Medical providers, patients, and third parties who intentionally deceive the healthcare system into acquiring unlawful benefits can commit fraud based on deception or misrepresentation. These fraud and abuse involve kickbacks, billing, billing for services not provided, medical testing, and other fraudulent activities. For instance, according to Blue Cross Blue Shield Association, a US-based federation, in 2021, The National Heath Care Anti-Fraud Association estimated that health care fraud costs the nation about $68 billion annually, about 3 percent of the nation's $2.26 trillion in health care spending. Other estimates range as high as 10 percent of annual health care expenditure, or $230 billion. Thus, the increasing number of fraudulent activities in healthcare is contributing to the growth of the healthcare fraud market. Adopting and developing new technologies is a key trend gaining popularity in the healthcare fraud analytics market. The major companies are focusing on launching statistical data analytical and artificial intelligence (AI)-driven product and services to strengthen their market position. These fraud detection techniques perform various statistical operations, including data mining, regression analysis, machine learning, pattern recognition, supervised learning, unsupervised learning, and others. For instance, In December 2020, Codoxo, a US-based, AI-driven solution for healthcare, launched a healthcare integrity suite that gives health agencies unique insights and solutions for identifying risks and controlling costs in clinical care, network management, and payment integrity, provider education, and special investigative units. The suite includes fraud, provider, insight, network, clinical, and payment scope in its application. In June 2020, Sharecare, an Atlanta-based digital health company, acquired WhiteHatAI for an undisclosed amount. With this acquisition, Sharecare will integrate the WhiteHatAI, an AI-driven suite across portfolios that will help detect FWA before it occurs, improving healthcare organizations' efficiency and effectiveness. WhiteHatAI is a US-based healthcare AI company for healthcare payment integrity and fraud, waste, and abuse prevention. Major players in the healthcare fraud analytics market are International Business Machines Corporation (IBM), Optum, Inc., SAS Institute, Inc., Change Healthcare, EXL Service Holdings, Inc., Cotiviti, Wipro Limited, Conduent, Inc., Hindustan Computers Limited Technologies Limited, CGI Inc., DXC Technology Company, Northrop Grumman Corporation, LexisNexis Group, Pondera Solutions, WhiteHatAI, Healthcare Fraud Shield, FraudLens, FraudScope, HMS Holding Corp., Fair, Isaac and Company(FICO), Qlarant, Inc., Codoxo, H20.ai, and OSP Labs, Sharecare, Inc., North America was the largest region in the healthcare fraud analytics market in 2022. North America is expected to be the fastest-growing region in the forecast period. The regions covered in healthcare fraud analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the healthcare fraud analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The healthcare fraud analytics market includes revenues earned by entities by providing services such as fraud detection, predictive analytics, and Medicaid. 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 healthcare fraud analytics market is segmented - 1) By Solution Type: Descriptive Analytics, Predictive Analytics, Prescriptive Analytics 2) By Delivery Model: On-Premise, On-Demand 3) By Application: Insurance Claims Review, Postpayment Review, Prepayment Review, Pharmacy Billing Misuse, Payment Integrity, Other Applications 4) By End User: Public & Government Agencies, Private Insurance Payers, Third-Party Service Providers

Industrial analytics refer to the collection, analysis (using R programming), and use of data (Big Data) generated throughout industrial activities and over the course of a product's entire lifespan. It includes data collection methods as well as statistical and dynamic modelling methods (Vensim). It requires multiple tools and techniques for data collection and statistical and dynamic modeling. The main types of industrial analytics are predictive, prescriptive, descriptive and diagnostics analytics. Predictive analytics uses statistics and modeling techniques based on current and historical data to determine future performance and to make predictions outcomes. Predictive analytics are used to determine customer response to promote cross-sell opportunities and purchases. Industrial analytics deployed on cloud or on-premises and components are software and services. Industrial analytics are used by small, medium and large organizations in information technology and telecom, energy and utilities, transportation and logistics, retail and consumer goods, manufacturing and other sectors. The industrial analytics market research report is one of a series of new reports from The Business Research Company that provides industrial analytics market statistics, including industrial analytics industry global market size, regional shares, competitors with an industrial analytics market share, detailed industrial analytics market segments, market trends and opportunities, and any further data you may need to thrive in the industrial analytics industry. This industrial 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 industrial analytics market size grew from $23.25 billion in 2022 to $27.07 billion in 2023 at a compound annual growth rate (CAGR) of 16.4%. 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 industrial analytics market size is expected to grow to $50.79 billion in 2027 at a CAGR of 17.0%. The rising demand from the e-commerce sector is expected to drive the growth of the industrial analytics market. The increasing adoption of smartphones, easy and affordable access to technology, and the convenience of purchasing from anywhere, at any time are the driving factors of online commerce's recent surge. Furthermore, due to COVID-19 pandemic, carrying out all the operations at home or remotely is seen, so people tend to use e-commerce platforms to purchase goods and services. For instance, in May 2021, according to a report published by United Nations Conference on Trade and Development experts. The e-commerce sector's percentage of total retail sales increased significantly from 16% to 19% by 2020. Therefore, the rise in demand for E-commerce is driving the industrial analytics market. Advancement in technology is a key trend gaining popularity in the industrial analytics market. Major companies operating in the industrial analytics market are focused on providing technologically-advanced solutions to strengthen their market position. These companies are implementing next-generation industrial technologies into their services and tools, such as data virtualization, data integration, stream analytics, discovery tools, artificial intelligence, machine learning, and others, to improve the decision-making process and increase the efficiency of the work. For instance, in July 2020, ABB, a Swiss automation company launched the ‘ABB Ability Genix Industrial Analytics and AI Suite’, a scalable advanced analytics platform along with pre-designed, easy-to-use applications and services. The advanced industrial analytics platform collects, contextualizes and transforms operational, engineering and information technology data into actionable insights to aid industries optimize asset management, improve operations, and streamline business functions sustainably and safely. In November 2021, Aspen Technology, a US-based industrial software company, acquired Camo Analytics for an undisclosed amount. This acquisition will strengthen AspenTech’s portfolio with Process Analytical Technology (PAT) and Overall Equipment Effectiveness (OEE) solutions to ensure compliance while decreasing waste and enabling improvement. Camo Analytics AS is a Norway-based industrial analytics company. Major players in the industrial analytics market are Hewlett Packard Enterprise, SAP SE, Microsoft Corporation, Hitachi Ltd., Tibco Software Inc., PTC Inc., AGT International GmbH, IBM Corporation, SAS Institute Inc., General Electric Company, Intel Corporation, Bridgei2i Analytics Solutions, Cisco Systems Inc., Oracle Corporation, Alteryx Inc., Amazon Web Services Inc., Robert Bosch GmbH, Genpact, and ABB Ltd. North America was the largest region in the industrial analytics market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the industrial analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the industrial analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The industrial analytics market includes revenues earned by entities by providing analytics for promoting efficient business processes and industry operations. 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 industrial analytics market is segmented - 1) By Analytics Type: Predictive Analytics, Prescriptive Analytics, Descriptive Analytics, Diagnostic Analytics 2) By Organization Size: Large Organizations, Small and Medium Organizations 3) By Deployment Mode: Cloud-Based, On-Premises 4) By Component: Software, Services 5) By Vertical: Information Technology (IT) and Telecom, Energy and Utilities, Transportation and Logistics, Retail and Consumer Goods, Manufacturing, Other Verticals