Manufacturing analytics refer to a statistical tool that aids in the rule-based analysis of manufacturing data and information, allowing users to better understand the process and hence enhance business operations and product quality. Manufacturing analytics enables to spot an issue before it occurs, which could have an impact on the product, yield, or cost. Manufacturing analytics is used to improve process efficiency and centralize production monitoring. The main types of components in manufacturing analytics are software and service. The software refers to business intelligence (BI) tools for capturing, aggregating, and analyzing manufacturing data analytics. Manufacturing analytics software reveals insights about processes and functions that can lead to improvements at all levels of an organization. The different deployment modes include cloud, and on-premise and are used in several applications such as predictive maintenance, inventory management, supply chain optimization, and others. It is employed in semiconductor and electronics, energy and power, pharmaceutical, automobile, heavy metal and machine manufacturing, and other industry verticals. The manufacturing analytics market research report is one of a series of new reports from The Business Research Company that provides manufacturing analytics market statistics, including manufacturing analytics industry global market size, regional shares, competitors with a manufacturing analytics market share, detailed manufacturing analytics market segments, market trends and opportunities, and any further data you may need to thrive in the manufacturing analytics industry. This manufacturing 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 manufacturing analytics market size grew from $9.92 billion in 2022 to $11.98 billion in 2023 at a compound annual growth rate (CAGR) of 20.7%. 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 manufacturing analytics market size is expected to grow to $27.27 billion in 2027 at a CAGR of 22.8%. An increase in the need for process optimization is expected to propel the growth of the manufacturing analytics market going forward. Process optimization refers to reducing or eliminating time and resource wastage, unnecessary costs, bottlenecks, and mistakes while achieving the process objective. Process optimization in manufacturing analytics adds to various benefits such as providing faster response to issues at the machine level, and improved maintenance and so leading to its growth and increasing the need for this technique. For instance, according to Camunda, a Germany-based open-source workflow, and decision automation platform, in 2020, 51% of automation initiatives are aimed at boosting efficiency and optimization. Also, according to a survey conducted by Camunda in 2020 on how process automation is a business driver for growth, half (49%) of an organization’s process automation initiatives are focused on driving business growth. The other half of the process automation initiatives highlighted ways of business optimization (27%). Therefore, an increase in the need for process optimization is driving the growth of the manufacturing analytics market. New product innovation is a key trend gaining popularity in the manufacturing analytics market. Major companies operating in the manufacturing analytics market are focused on developing technologically advanced software to strengthen their market position. For instance, in May 2022, Google Cloud Platform, offered by Google, a US-based technology company launched Manufacturing Data Engine and Manufacturing Connect that enable manufacturers to connect previously segregated assets, process and standardize data, and improve visibility from the factory floor to the cloud. The solutions enable three essential AI and analytics-based use cases–manufacturing analytics and insights, predictive maintenance, and machine-level anomaly detection–once data has been harmonized. Manufacturing Data Engine and Manufacturing Connect, both of which are now accessible, assist manufacturers in unifying their data and empowering their employees through simple analytics and AI solutions built on cloud infrastructure. In October 2020, TIBCO Software Inc., a US-based business intelligence software company, acquired Information Builders Inc for an undisclosed amount. Through this acquisition, TIBCO gained the access to a broader range of analytics and technologies, considerably boosting its capacity to assist the world's most prestigious enterprises in solving the most difficult data challenges and further unlock the potential of real-time data for making faster, better decisions. Information Builders Inc is a US-based privately held software company that offers business analytics services. Major players in the manufacturing analytics market are SAP SE, Oracle Corporation, SAS Institute Inc., Tableau Software Inc., TIBCO Software Inc., International Business Machines Corporation, Alteryx Inc., Sisense Inc., Wipro Limited, Bridgei2i Analytics Solutions, Cisco Systems Inc., FICO (Fair, Isaac and Company), Domo Inc., Neubrain, Aegis Software, MachineMetrics, and Lantek. North America was the largest region in the manufacturing analytics market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the manufacturing analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the manufacturing analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The manufacturing analytics market includes revenues earned by entities by tools and services transform real-time data into just-in-time insights and enable improved customer service. 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 manufacturing analytics market is segmented - 1) By Component: Software, Services 2) By Deployment: Cloud, On Premise 3) By Application: Predictive Maintenance, Inventory Management, Supply Chain Optimization, Other Applications 4) By Industry Vertical: Semiconductor and Electronics, Energy and Power, Pharmaceutical, Automobile, Heavy Metal and Machine Manufacturing, Other Industry Verticals

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

Healthcare workforce management is a process that aims to improve an organization's performance and competency levels. Healthcare workforce management is used to manage the healthcare workforce, tracking and scheduling, accounting and payroll management of the workforce, managing time and attendance of the workforce on daily basis. In the fields of service management, performance and training management, recruiting, budgeting, forecasting, scheduling, and reporting, workforce management in healthcare offers a variety of features and automated processes. The main types of healthcare workforce management solutions are software and services. Software, types of healthcare workforce management systems include time and attendance, HR and payroll, talent management, and analytics software. Talent management refers to the attraction, selection, and retention of employees through a combination of HR processes that span the employee life cycle. Workforce planning, employee engagement, learning and development, performance management, recruiting, onboarding, succession, and retention are all considered under talent management. By mode of delivery, types of healthcare workforce management systems include web-based, cloud-based, and on-premise. Healthcare workforce management systems are mainly used by nursing homes, long-term care centers, hospitals, and other healthcare institutions. The healthcare workforce management system market research report is one of a series of new reports from The Business Research Company that provides healthcare workforce management system market statistics, including healthcare workforce management system industry global market size, regional shares, competitors with a healthcare workforce management system market share, detailed healthcare workforce management system market segments, market trends and opportunities, and any further data you may need to thrive in the healthcare workforce management system industry. This healthcare workforce management system 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 workforce management system market size grew from $1.73 billion in 2022 to $1.97 billion in 2023 at a compound annual growth rate (CAGR) of 13.6%. 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 workforce management system market size is expected to grow to $3.28 billion in 2027 at a CAGR of 13.6%. The rising need to curtail healthcare costs of the healthcare workforce is contributing to the growth of the healthcare workforce management system market. Healthcare workforce management solutions help healthcare facilities to manage the workforce schedules, payrolls, time and attendance, recruiting, budgeting and reporting. Most of the time healthcare facilities face challenges in managing the hospital’s staff due to a surge in the number of inpatients and outpatients. These tedious manual processes lead to errors in the scheduling of the staff, and payments of staff based on their shifts were also a big challenge for management. The workforce management system helps hospital management to manage the demand for services, and allocate labor and staff efficiently to increase productivity. Companies are developing such software for efficient workforce management. For instance, in March 2022, QGenda, a US-based provider of operations, and healthcare workforce management platform, launched ProviderCloud, a scheduling-centric provider operations platform for healthcare. Using these platforms, healthcare organizations of all sizes can gain holistic visibility into their entire workforce, along with the actionable data necessary to deliver quality patient care. So, the increasing need to curtail healthcare costs through effective management of the healthcare workforce is contributing to the growth of the market. The development and integration of new technologies is a key trend in the healthcare workforce management system market. The advancement of technologies such as Cloud, IoT, and AI is enhancing the customer experience in various applications across the healthcare industry. Automation helps healthcare facilities to manage multi-care hospitals efficiently. Connected devices are helping hospital management to manage the workforce efficiently and increase the productivity of the hospital facility. Also, technologies are helping to reduce the operational cost of the facility. Many companies are also focusing on offering technology-based solutions. For instance, in January 2021, Zyter announced the launch of Zyter Smart Hospitals, an end-to-end intelligent solution. This solution connects hospitals' data systems, departments, people, and IoT devices on Zyter’s robust digital communication and collaboration platform. The solution helps for efficient operation of the facility as well as helps to reduce costs with smart energy management. In July 2021, Accenture, an Ireland-based professional services company, acquired Workforce Insight, LLC for an undisclosed amount. With this acquisition, Accenture's workforce management capabilities and its ability to deliver HR transformation to clients will be enhanced. Workforce Insight, LLC is a US-based provider of workforce software and workday solutions. Major players in the healthcare workforce management system market are Ultimate Software Group Inc., Cornerstone Ondemand Inc., Atoss Software, Workday Inc., IBM Corporation, GE Healthcare, ADP LLC, Mckesson Corporation, Kronos Inc., Oracle Corporation, Timeware, Allocate, Workforce Software Group Inc., Nice Systems, and ActiveOps. North America was the largest region in the healthcare workforce management system market in 2022. The regions covered in the healthcare workforce management system report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the healthcare workforce management system market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, and USA. The healthcare workforce management market includes revenues earned by entities by providing services such as standalone software, time and attendance, HR and payroll, scheduling, talent management, integrated software. 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 workforce management system market is segmented - 1) By Software: Time And Attendance, HR And Payroll, Talent Management, Analytics 2) By Solution: Software, Services 3) By Mode Of Delivery: Web-Based, Cloud-Based, On-Premise 4) By End User: Nursing Homes, Long-Term Care Centers, Hospitals, Other Healthcare Institutions

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

Product analytics refers to a set of activities such as tracking, analysing, and visualizing the user’s experience to assess the client’s interaction with products and services that allow product managers and product teams to optimize product features based on user data and feedback to provide correlated customer activity with long-term value. The product analytics are used to track and analyse consumer or client behavioural engagement data by an organization to improve its products or services. The main components of product analytics are solutions and services. Services are the non-physical, intangible parts of our economy, as opposed to goods, which we can touch or handle. The mode is data tracking and analysis.The deployment modes are cloud and on-premises. There are two types of organizations: large enterprises and small and medium-sized enterprises. The various end-users involved were automotive, retail and consumer goods, food and beverage manufacturing, machinery and industrial equipment manufacturing, healthcare and pharmaceuticals, and energy and utilities. The product analytics market research report is one of a series of new reports from The Business Research Company that provides product analytics market statistics, including product analytics industry global market size, regional shares, competitors with a product analytics market share, detailed product analytics market segments, market trends and opportunities, and any further data you may need to thrive in the product analytics industry. This product 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 product analytics market size grew from $9.18 billion in 2022 to $11.16 billion in 2023, at a compound annual growth rate (CAGR) of 21.5%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The product analytics market size is expected to grow to $24.37 billion in 2027 at a CAGR of 21.6%. The adoption of product analytics tools by eCommerce companies is expected to propel the growth of the product analytics market going forward. E-commerce companies refer to companies that use smart devices and the internet to buy and sell goods and services by creating an online store. Many e-commerce sites are using product analytics, also known as e-commerce analytics, to leverage their business operations due to several benefits, such as optimising the pricing of products, improving customer engagement, providing a personalised customer shopping experience, improving marketing strategies, and others. For instance, in March 2020, according to Whidegroup, a Ukraine-based software company that provides e-commerce solutions to small to medium-sized companies, approximately 80% of online marketers will be using Google Analytics, a popular e-commerce analytics software (product analytics) across the world that enables highly detailed reports and meaningful insights about the website and its users to optimise business operations. Therefore, the adoption of product analytics tools by eCommerce companies is driving the growth of the product analytics market. Product innovation is a key trend gaining popularity in the product analytics market. Major companies operating in the market are focused on research and development for product innovations that could provide better solutions and strengthen their position in the market. For instance, in May 2022, Amplitude Inc., a US-based company providing behavior-tracking software, introduced the industry’s first insights-driven customer data platform, Amplitude CDP, a customer data platform with integrated product analytics to accelerate time to insights. This platform does not need to be integrated with third-party analytics services since it can collect and analyse data from its own product analytics platform. Amplitude CDP is also used for better audience discovery. In March 2020, Amplitude, Inc., a US-based company operating product analytics, acquired ClearBrain, Inc., for an undisclosed amount. Amplitude Inc. aims to strengthen its product portfolio in predictive analytics by leveraging ClearBrain's product and engineering teams for its machine learning division in analytics products that will give it an advantage in the analytics market. ClearBrain Inc. is a US-based company operating in product analytics. Major players in the product analytics market are Google LLC, International Business Machines Corporation, Oracle Corporation, Adobe Inc., Salesforce Inc., Amplitude Inc., Mixpanel, Medallia, Veritone Inc., LatentView Analytics, Pendo.io Inc., Kissmetrics, Heap, Gainsight, Piwik PRO, Plytix.Com ApS, Risk Edge Solutions, LogRocket, Countly, UserIQ, Smartlook, Woopra, SAP SE, Atlassian Corporation PLC, SAS Institute, Teradata Corporation, Sisense, Copper CRM Inc., and North America was the largest region in the product analytics market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the product analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the product analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The product analytics market consists of revenues earned by entities by providing trend analysis, attribution analysis, and cohort analysis. 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 chain or as part of other products. The global product analytics market is segmented - 1) By Components: Solutions and Services 2) By Mode: Tracking Data, Analysing Data 3) By organisation Size: Large Enterprises, Small and Medium Sized Enterprises 4) By Deployment Mode: Cloud, On-Premises 5) By End-Use: Automotive, Retail and Consumer Goods, Food and Beverage Manufacturing, Machinery and Industrial Equipment Manufacturing, Healthcare and Pharmaceuticals, Energy and Utilities

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

Augmented analytics refers to the application of technology like AI and machine learning to increase human curiosity and facilitate the preparation, analysis, and visualization of data for business users. Users discover insights more quickly by conversing with their data, while algorithms propose contextually relevant insights. Augmented analytics assists with data preparation, insight generation, and explanation that augments experts and data scientists with the automation of developing, managing, and deployment of data science machine learning and artificial intelligence models. The main component of augmented analytics are software and services. Software consists of advanced driven analytics applications such as artificial intelligence that provide advanced insights into business performance and market conditions which are used to make business decisions and strategies. The deployment types are on-premises and cloud. The services offered by augmented analytics are training and consulting, deployment and integration, support and maintenance which are used in large enterprises, small and medium-sized enterprises (SMEs). The verticals using augmented analytics includes banking, financial services, and insurance (BFSI), telecom and IT, retail and consumer goods, healthcare and life sciences and other verticals. The augmented analytics market research report is one of a series of new reports from The Business Research Company that provides augmented analytics market statistics, including augmented analytics industry global market size, regional shares, competitors with a augmented analytics market share, detailed augmented analytics market segments, market trends and opportunities, and any further data you may need to thrive in the augmented analytics industry. This augmented 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 augmented analytics market size grew from $9.53 billion in 2022 to $11.35 billion in 2023 at a compound annual growth rate (CAGR) of 19.1%. 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 augmented analytics market size is expected to grow to $27.21 billion in 2027 at a CAGR of 24.4%. The increasing demand for the adoption of business intelligence (BI) tools is expected to propel the growth of the augmented analytics market. The adoption of business intelligence tools is used to simplify more frequent data-driven decision-making. It is used from the data scientists to employees on the front lines where the departments and teams will gain insights into the data, which helps to promote data democratization all over the organization. According to a survey report of over 5,000 organizations on the business intelligence market by Dresner Advisory Services, LLC, in June 2021, executive adoption of business intelligence is significantly high at 64%, followed by middle and line managers at 40%. Therefore, the increasing demand for the adoption of business intelligence (BI) tools drives the augmented analytics market growth. Technology advancement is gaining popularity in the augmented analytics market. Major players in the augmented analytics market focus on innovative products to obtain an edge in the market against their competitors. For instance, In April 2022, India-based Smarten Augmented Analytics company announced the addition of sentiment analysis features and functionality to its cutting-edge augmented analytics solution. This addition provides businesses with tools for understanding what customers, stakeholders, and others think, allowing organizations to enhance their products and services. In October 2021, Qlik, a Sweden-based business analytics company announced the acquisition of Big Squid for an undisclosed amount. Through this deal, Qlik aims to expand its data and analytics team’s ability to used advanced augmented analytics capabilities such as key driver analysis, predictive analytics. Big Squid Inc., is a US-based Predictive Analytics software company offering augmented analytics. Major players in the augmented analytics market are Salesforce, SAP, IBM, Microsoft, Oracle, Tableau, MicroStrategy, SAS, Qlik, TIBCO Software, Sisense, Information Builders, Yellowfin, ThoughtSpot and Domo. North America was the largest region in the augmented analytics market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the augmented analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the augmented analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The augmented analytics market includes revenues earned by entities by providing tools and solutions that make it simpler for company users and executives to discover relevant information. 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 augmented analytics market is segmented - 1) By Component: Software, Services 2) By Deployment Type: On-Premises, Cloud 3) By Services: Training And Consulting, Deployment And Integration, Support And Maintainance 4) By Organization Size: Large Enterprises, Small And Medium-Sized Enterprises (SMEs) 5) By Vertical: Banking, Financial Services, And Insurance (BFSI), Telecom And IT, Retail And Consumer Goods, Healthcare And Life sciences, Other Verticals

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