Cloud Service refers to a wide range of on-demand services offered to businesses and customers over the internet. These services are designed to provide easy and affordable access to applications and resources without needing internal infrastructure or hardware. It refers to the servers accessed over the internet and the software and databases on those servers. The main types of cloud services are software as a service (SaaS), platform as a service (PaaS), infrastructure as a service (IaaS) and business process as a service (BPaaS). Software as a service (SaaS) refers to providing complete applications over the Internet. It is also called web-based software, on-demand software, or hosted software. Establishments providing SaaS offer access to their software and hardware, managing access to the application, its security, availability, and performance. Users only need to think about the usage of the service provided and not about how the service is provided or maintained or how the underlying infrastructure is managed. The deployment method used include public cloud, private cloud, hybrid cloud and large enterprises, small and medium enterprises size organizations utilize them. The cloud services are mainly used for storage, backup, and disaster recovery, application development and testing, database management, business analytics, integration and orchestration, customer relationship management and others and used in industries including BFSI, media and entertainment, IT and telecommunications, energy and utilities, government and public sector, retail and consumer goods, manufacturing and others. The cloud services market research report is one of a series of new reports from The Business Research Company that provides cloud services market statistics, including cloud services industry global market size, regional shares, competitors with a cloud services market share, detailed cloud services market segments, market trends and opportunities, and any further data you may need to thrive in the cloud services industry. This cloud 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 cloud services market grew from $446.1 billion in 2022 to $489.77 billion in 2023 at a compound annual growth rate (CAGR) of 9.8%. 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 cloud services market is expected to grow to $698.01 billion in 2027 at a CAGR of 9.3%. The impact of COVID-19 (COVID-19) is expected to drive the cloud services market in the forecast period as the increasing number of people are working from home due to lockdowns imposed by governments globally that restrict the gathering of people in public places. Steps by national governments to contain the transmission have resulted in people working from home by accessing work-related systems and applications through the cloud. For instance, cloud spending rose 37% to $29 billion during the first quarter of 2020. This trend is likely to persist, as the exodus to virtual work underscores the urgency for scalable, secure, reliable, cost-effective off-premises technology services. In fact, despite the inevitable economic downturn in the wake of the pandemic, cloud spending is estimated to rise 19% for the full year, even as IT spending as a whole is forecasted to fall 8%. Thus, uncertainty surrounding the duration of the spread of COVID-19 is expected to lead to more companies adopting cloud technology to support their employees working from home, thereby driving the market growth. Security, password protection, and corporate and financial information protection were key issues for the cloud services industry. Similarly, in March 2020 it was reported that the real names, site usernames, gender, location, and phone numbers for 172 million users had been posted for sale on dark web markets. Due to security breaches, the need for firewall protection and network separation to ensure privacy was another major need across all industries. Routine security assessments undertaken with the help of security researchers were needed to analyze programming vulnerabilities, adding to the cloud services industry costs restraining the overall attractiveness of the market. Cloud service providers are increasingly using artificial intelligence to increase the efficiency and speed of cloud computing services. Artificial intelligence leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind. Using AI in cloud services can increase productivity and efficiency while automating repetitive tasks and supporting human capabilities. The advantages of using AI for cloud-based services include lowering adoption costs, facilitates co-creation, innovation, and driving AI-powered transformation for enterprises. Cloud service providers can use AI-powered network security tools to track and evaluate network traffic. For example, the IBM cloud park for automation and Amazon GuardDut are some of the AI based cloud services that are used for providing prebuilt workflows for AI-powered automation and for threat detecting. In addition, in 2020, Salesforce, the leading customer relationship management platform introduced a tool named Einstein, which offers the ability to capture customer data, making it easier to track and personalize customer relationships. Major companies in the cloud services market include Microsoft, Amazon.com Inc., SAP SE, International Business, Machines Corporation, Nippon Telegraph And Telephone Corp, Intel Corporation, Dell Technologies Inc., Apple, Tencent Holdings Co Ltd and Orange SA. North America was the largest region in the cloud services market in 2022. Western Europe was the second largest region cloud services market. The regions covered in the hardware support services market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the cloud services 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 cloud services market includes revenues earned by entities by providing cloud services that can be used for the delivery of information technology resources and applications on-demand through an internet platform. Companies in the cloud services market provide access to servers, storage, databases and a broad set of application services managed by a hardware networking. This market includes sales of storage servers which are used to store, access, secure and manage digital data, files and services. It also includes sales of public cloud services, private cloud services, hybrid cloud services and multi-cloud services offered by providers are included. 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 cloud services market is segmented - 1) By Type: Software as a service (SaaS), Platform as a service (PaaS), Infrastructure as a service (IaaS), Business Process as a service (BPaaS) 2) By End-User Industry: BFSI, Media And Entertainment, IT and Telecommunications, Energy And Utilities, Government And Public Sector, Retail And Consumer Goods, Manufacturing, Other End User Industries 3) By Application: Storage, Backup, and Disaster Recovery, Application Development and Testing, Database Management, Business Analytics, Integration and Orchestration, Customer Relationship Management, Other Applications 4) By Deployment Model: Public Cloud, Private Cloud, Hybrid Cloud 5) By Organisation Size: Large Enterprises, Small And Medium Enterprises

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

Big data and analytics is the use of certain advanced analytics techniques on big data or very large datasets to generate business insights. It begins with data collection with predefined templates and forms, followed by data maintenance, data processing, and data analysis. The main analytics tools of big data and analytics are dashboard and data visualization, self-service tools, data mining and warehousing, reporting and others. Data visualization is the method of converting big data sets and metrics into charts, graphs, and other graphics. The resulting visual representation of data makes it easier to detect and convey real-time patterns, outliers, and fresh insights about the data. The analytics tools are deployed through on-premise and cloud mode for customer analytics, supply chain analytics, marketing analytics, pricing analytics, spatial analytics, workforce analytics, risk and credit analytics, transportation analytics and others. The big data tool and analytics are used by various end-use industries such as BFSI, retail, manufacturing, IT and telecom, government, healthcare, utility, others. The big data and analytics market research report is one of a series of new reports from The Business Research Company that provides big data and analytics market statistics, including big data and analytics industry global market size, regional shares, competitors with a big data and analytics market share, detailed big data and analytics market segments, market trends and opportunities, and any further data you may need to thrive in the big data and analytics industry. This big data and analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry. The global big data and analytics market size will grow from $92.06 billion in 2022 to $104.19 billion in 2023 at a compound annual growth rate (CAGR) of 13.2%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global big data and analytics market size is expected to grow to $172.84 billion in 2027 at a CAGR of 13.5%. The growing investments in business intelligence, data analytics tools by major companies, and increasingly adopting different styles of analytics to resolve their business imperatives and personalize the service or product according to the customers' aspirations boosts the growth of the big data and analytics market. For instance, CostCo., a major retailer that collects its customer's data on purchases to provide personalized service was able to warn its customers who bought stone fruits to warn them of possible contamination using the analytics software instead of sending a blanket message to everyone. This increasing need to personalize the service to cater to the customers compels businesses to invest in data analytics tools, thereby increasing demand for the big data and analytics market. The shortage of skilled professionals is a major restraint for the big data and analytics market. Developing hardware, software and system integration require trained and specialized resources to handle data preparation, create predictive models, and integrate these into applications. The resources are either unavailable or too expensive to hire, which stifles the growth of the big data and analytics market. According to the US Bureau of Labor Statistics, 11.5 million new jobs will be created for data science and analytics by the year 2026. However, the lack of a skilled workforce to occupy the job vacancies hinders market growth. The agile process' success in software development and the development of the latest technologies have made it very popular in the innovation industry. Few leading-edge organizations use an agile approach to manage their data systems. Agile is a technique for designing applications or handling operations more effectively in IT organizations. Broadly, it's a collaborative methodology where cross-functional teams develop and create minimally viable products (MVPs) and features quickly, test them with consumers, and optimize and improve them in rapid iterations. The agile process helps to make changes in the workflow even in the later stages, which will help to work in the best interests of the client. Agile organizations have a 70% chance of being in the top quartile of organizational health, indicating the best long-term performance amongst competitors. These companies become more customer-centric, have higher revenue growth, and a more engaged workforce. In April 2022, Accenture, a global information technology company acquired Ergo for an undisclosed amount. The acquisition will broaden the Cloud First capabilities of Accenture and increases its customer base in the Hispanic South American market. Ergo is an Argentinian big data, analytics and artificial intelligence (AI) company. Major players in the big data and analytics market are IBM Corporation, Oracle Corporation, Microsoft Corporation, SAP SE, SAS Institute Inc., Teradata Corporation, Accenture, Salesforce, Cisco Systems, Tableau Software, Hewlett Packard Enterprise Development LP., Amazon Web Services,, Dell Inc., Cloudera, Musigma, Informatica, Alpine Data Labs, Alteryx, Amazon Web Services, BigML, Cognonto Corp., Couchbase, Inc., and Dataiku. Asia-Pacific was the largest region in the big data and analytics market in 2022. North America was the second largest region in the global big data and analytics market. The regions covered in the global big data and analytics market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the big data and analytics market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The big data and analytics market includes revenues earned by entities by offering software used for data mining and predictive modeling. The sales consist of revenues generated by establishments that are primarily engaged in the development of software for big data and analytics like Hadoop, Tableau and Qubole. Values in this market are factory gate values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global big data and analytics market is segmented - 1) By Analytics Tools: Dashboard & Data Visualization, Self-Service Tools, Data Mining & Warehousing, Reporting, Other Analytics Tools 2) By Deployment Mode: On-Premise, Cloud 3) By End Use Industry: BFSI, Retail, Manufacturing, IT and Telecom, Government, Healthcare, Utility, Other End Use Industries 4) By Application: Customer Analytics, Supply Chain Analytics, Marketing Analytics, Pricing Analytics, Spatial Analytics, Workforce Analytics, Risk & Credit Analytics, Transportation Analytics, Other Applications

Artificial intelligence is a wide-ranging branch of computer science-related with building smart machines that can perform tasks that require human intelligence. The main technology types of artificial intelligence services are machine learning, computer vision, natural language processing (NLP), and others. Machine learning is an artificial intelligence (AI) program that allows systems to automatically learn and improve from experience without being explicitly programmed. The various software tools used include web-based and cloud application programming interface, processing and modeler, archiving, and data storage that are used to provide managed services and professional services. The services are used by different end users such as banking, financial, and insurance (BFSI), IT and telecom, retail, manufacturing, public sector, energy and utility, and healthcare, among others. The artificial intelligence (AI) services market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) services market statistics, including artificial intelligence (AI) services industry global market size, regional shares, competitors with an artificial intelligence (AI) services market share, detailed artificial intelligence (AI) services market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) services industry. This artificial intelligence (AI) 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 artificial intelligence services market size will grow from $12.39 billion in 2022 to $18.34 billion in 2023 at a compound annual growth rate (CAGR) of 48.0%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global artificial intelligence services market size is expected to grow to $55.38 billion in 2027 at a CAGR of 31.8%. The rise in the adoption of cloud-based solutions is a key factor driving the growth of the artificial intelligence services market. Artificial intelligence (AI) as a service lets businesses experiment with AI for different activities without a high initial investment. Experimentation enables many cloud computing platforms to check different machine learning algorithms and helps streamline how data is analyzed and managed. Businesses are deeply interested in cloud-based machine learning, which lets them experiment through their services and help their clients make informed decisions based on the data. For instance, in March 2020, Google announced the beta launch of Cloud AI Platform Pipelines, which provides its customers with repeatable machine learning pipelines that can be installed easily and used for machine learning workflows securely. The integration of AI applications into its cloud draws more customers, thus enhancing market growth over the forecast period. Therefore, the rise in the adoption of cloud-based solutions is expected to drive the growth of the artificial intelligence services market. The risks associated with data breaches and hacks are hampering the growth of the artificial intelligence services market. The World Economic Forum (WEF) has cautioned that new technologies such as the Internet of Things, artificial intelligence, and quantum computing can turn around human lives, but may also make society more vulnerable to cyber-attacks. It was stated that attacks occur on average once every 39 seconds and a single breach could cost as much as $150 million in 2020. Although companies and organizations are aware of these risks, breach activity still takes around six months to detect, and the long delays between original network breach and security responses allow hackers to take advantage of significant quantities of data. According to the State of the breach June 2020, about 16 billion records including credit card numbers, phone numbers, home addresses, and other sensitive information were exposed through data breaches since 2019. Therefore, the risks associated with data breaches and hacking hampers the growth of the artificial intelligence services market. The use of artificial intelligence as a service for human interaction with machines using natural language processing (NLP) is a key trend shaping the artificial intelligence services market. Natural language processing (NLP) is a type of artificial intelligence that explains how human language and computers interact. Machine translation is an enormous technology for NLP that enables us to overcome the challenges to contact people from all over the world and to understand software manuals and catalogs written in a foreign language. For instance, the Livox app, a customizable application in 25 languages helps the disabled to communicate. In January 2021, ServiceNow, a US-based provider of information technology management software for companies, acquired Element AI for $230 million. The acquisition of Element AI would significantly strengthen ServiceNow's commitment to developing the most intelligent workflow platform in the world, allowing staff members to work more quickly and intelligently, simplify business choices, and reach new heights of productivity. Element Ai is a Canada-based artificial intelligence (AI) company. Major players in the artificial intelligence services market are Intel Corp., International Business Machines Corp., Microsoft Corp., SAP SE, SAS Institute Inc., Amazon.com Inc., Salesforce, Google LLC., Oracle Corporation, Fair Isaac Corporation, Alphabet Inc., Apple Inc., CognitiveScale, Inc., Baidu, Inc., BigML, H2O.ai and Baidu Inc. Asia-Pacific was the largest region in the artificial intelligence services market in 2022. North America was the second largest region in the global artificial intelligence services market. The regions covered in the global artificial intelligence services market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the artificial intelligence services market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The artificial intelligence services market includes revenues earned by entities by providing AI services that are used in telecommunications, government, retail, defense and healthcare. Companies in the artificial intelligence market provide outsourced services to cater to business requirements. AI as a service enables individuals and businesses to use AI for different purposes, without significant initial investment and with lower risk. 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 artificial intelligence services market is segmented - 1) By Technology: Machine Learning, Computer Vision, Natural Language Processing (NLP), Other Technology 2) By Services Type: Managed Services, Professional Services 3) By Software Tools: Web-based and Cloud Application Programming Interface, Processing and Modeler, Archiving and Data Storage 4) By Application Type: Fraud Detection, Data Analytics & Visualization, Customer Service and Management, Rsik Management, Compliance & Security 5) By End-User: Banking, Financial, and Insurance (BFSI), IT & Telecom, Retail, Manufacturing, Public Sector, Energy & Utility, Healthcare, Other End-Users

Internet of Things (IoT) is a physical object network that contains integrated technologies that allow it to connect, sense, and interact with internal or external environments. It is a collection of end-to-end services where companies contract with external vendors to design, build, install, and operate IoT solutions, including consulting advice for IoT planning. The main platform of Internet of Things (IoT) are device management, application management and device management. The process of managing the implementation, operation, and maintenance of a physical and/or virtual device is known as device management The various application include building and home automation, smart energy and utilities, smart manufacturing, connected logistics, smart retail, smart mobility and transportation, others that are used by BFSI, retail, government, healthcare, manufacturing, transportation, IT and telecom, among other end user industries. The internet of things (IoT) market research report is one of a series of new reports from The Business Research Company that provides internet of things (IoT) market statistics, including internet of things (IoT) industry global market size, regional shares, competitors with an internet of things (IoT) market share, detailed internet of things (IoT) market segments, market trends and opportunities, and any further data you may need to thrive in the internet of things (IoT) industry. This internet of things (IoT) 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 iot market size will grow from $399.41 billion in 2022 to $486.7 billion in 2023 at a compound annual growth rate (CAGR) of 21.9%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global iot market size is expected to grow to $1057.55 billion in 2027 at a CAGR of 21.4%. The application of IoT in various industries such as automotive industry is driving the growth of the IoT market. The introduction of IoT in the automotive industry has opened up new opportunities for carmakers and consumers worldwide. IoT has become a popular hotspot for varied multifunctional applications in the automotive sector. IoT offers enhanced communication, control and data delivery at any transportation point. Major companies like Mercedes-Benz, Volkswagen, Volvo, Toyota and Google Inc. are increasingly investing in developing smart cars with rich features that offer healthier, more convenient and more enjoyable driving experiences. According to UBS, 12% of the total cars sold in 2030 will be for autonomous taxi fleets with 26 million driverless taxis in operation worldwide, approximately. The concerns with data security impact the growth of the IoT market. The rate of data intrusions is also increasingly growing with the advances in technology. IoT systems are being newly built and often have loopholes that can help the hacker to easily enter the system, serving as a major obstacle to the growth of the market for IoT sensors, since enterprise data protection is of great importance when designing analytical solutions for many vertical applications. Ransomware and denial-of-service attacks (DoS attacks) will continue to rise and be among the most common cybersecurity threats. Therefore, the data security issues limit the growth of the IoT market. The IoT devices collect a great deal of data of all types. Managing this data and analyzing it will help maximize its value for the company. Data analytics will help in analysis of IoT data in several areas such as data accuracy in time series, predictive and advanced analytics, data preparation, geospatial and location real-time (logistic data). In 2020, major cloud vendors such as Amazon, Microsoft and Google, are increasingly using data analytics for business improvement and various companies hope to expand their market share with AI algorithms capable of exploiting machine learning and deep learning, allowing businesses to derive more value and make informed decisions from the increasing data volumes. In February 2022, Breadware LLC., a US-based IoT solutions company acquired Medium One Inc. for an undisclosed amount. The acquisition add Medium One platform to Breadware and enables it to develop and offer IoT-enabled products as well as integrated environment for quick and easy implementation of IoT products. Medium One Inc. is an American IoT software company. Major players in the IoT market are Cisco Systems, Inc., Microsoft Corporation, Oracle Corporation, International Business Machine (IBM) Corporation, Google Inc., Hewlett-Packard Enterprise, Amazon Web Services Inc., Bosch Software Innovation GmbH, Huawei Technologies, Intel Corporation, AT & T Inc., Hitachi Data Systems, General Electric, Bright Wolf, C3 IoT, Carriots, Concirrus, Connio, Cumulocity, Davra Networks, Device Insight, EVRYTHNG, Exosite, Autodesk SeeControl, BlackBerry, Accenture PLC., Alcatel-Lucent, Fujitsu Ltd., Dell Inc., PTC Inc., and SAP SE. Asia-Pacific was the largest region in the IoT market in 2022. North America was the second largest region in the global IoT market. The regions covered in IoT report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the IoT market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The Internet of Things (IoT) market includes revenues earned by entities by offering IoT solutions used in building and home automation, smart energy and utilities, connected logistics, smart retail, smart mobility, and transportation. The internet of things, or IoT, is a collection of interconnected smart devices, mechanical and digital machines, objects, animals or people supplied with unique identifiers (UIDs) and the ability to transmit data across a network without needing human-to-human or human-to-computer interaction. Values in this market are factory gate values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. 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 IoT market is segmented - 1) By Platform: Device Management, Application Management, Network Management 2) By End Use Industry: BFSI, Retail, Government, Healthcare, Manufacturing, Transportation, IT & Telecom, Other End-User Industries 3) By Application: Building And Home Automation, Smart Energy And Utilities, Smart Manufacturing, Connected Logistics, Smart Retail, Smart Mobility And Transportation, Other Applications

The internet of things, or IoT, is a collection of interconnected smart devices, mechanical and digital machines, objects, animals or people supplied with unique identifiers (UIDs) and the ability to transmit data across a network without needing human-to-human or human-to-computer interaction. The main types of internet of things (IoT) services are professional services and managed services. A professional service is an intangible product that a contractor or product vendor sells to help a customer manage a specific part of their business. The various type of verticals are manufacturing, retail, IT & telecom, transportation & logistics, utilities, healthcare, energy, and others. The various applications of internet of things (IoT) services are smart buildings, smart manufacturing, smart transport and logistics, smart healthcare, smart retail, and smart energy. The internet of things (IoT) services market research report is one of a series of new reports from The Business Research Company that provides internet of things (IoT) services market statistics, including internet of things (IoT) services industry global market size, regional shares, competitors with an internet of things (IoT) services market share, detailed internet of things (IoT) services market segments, market trends and opportunities, and any further data you may need to thrive in the internet of things (IoT) services industry. This internet of things (IoT) 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 iot services market size will grow from $188.8 billion in 2022 to $214.47 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 global iot services market size is expected to grow to $400.78 billion in 2027 at a CAGR of 16.9%. An increase in the internet of things use cases is expected to drive the IoT service market. IoT use cases are the areas where IoT can be used for automating the process and increasing productivity. Over the years IoT has found its use in many areas such as manufacturing, farming, smartwatches, smart cities, transportation, and other fields, which has increased the need for IoT services that provide support by delivering services such as consulting, data management, network management, security services, and others. For instance, Telit, a leading IoT enabler, provides an IoT security system that helps users to control and monitor the surveillance along with collecting data and analyzing it to improve the security of buildings, turning them into smart buildings. The IoT use cases eventually increase the demand for IoT services and are expected to drive market growth. Low enterprise adoption is expected to hinder the IoT services market. Even though IoT has found it useful in many vertical industries, the enterprise adoption is low due to many factors such as little or no awareness, the involvement of more humans in the operating system gives a less or no room for automation and most importantly due to security concerns regarding the data. For instance, in October 2020, according to a research conducted by Bitdefender, a Romania-based cybersecurity company, 42% of the companies surveyed stated that they are following a “wait and see” strategy to observe the effect of IoT and 33% of businesses that are still on the fence about adopting IoT say they are unsure of the benefits for their industry. Low enterprise adoption thereby restrains the IoT services market. Edge or cloud computing is enhancing the deployment of workload on IoT devices. Edge or cloud computing is a solution that facilitates data processing and data storage in the cloud. For instance, Microsoft recently released its Azure IoT Edge, a managed service built on Azure IoT Hub that deploys the workloads like artificial intelligence, third party services, or own business logic on cloud and runs the workload on IoT edge device. Edge devices spend less time communicating with the cloud and react quickly to changes and operate reliably. Amazon provides two IoT software FreeRTOS and AWS IoT Greengrass, AWS IoT Greengrass extends AWS to the edge devices and they can act locally by generating the data and FreeRTOS is open source and operating system used for microcontrollers that makes low power edge devices easy to secure, deploy and manage. In September 2020, Accenture, an Ireland-based leading global professional service provider that provides strategy, digital, and technology services, has acquired cloud industrial Internet of Things consultancy SALT Solutions, headquartered in Würzburg, Germany for an undisclosed amount to expand its IoT services. The acquisition is expected to build cloud-based IoT platforms that “speed up and optimize clients’ production and logistics”. SALT Solutions will help clients improve how they operate factories and plants. SALT implements and maintains IT systems for production, operations and logistics at various companies such as automotive, manufacturing, consumer goods, chemicals and other companies. Major players in the internet of things (IoT) services market are Cisco Systems; Cognizant; Google; Infosys; Tieto Corporation; Virtusa Corporation; Accenture PLC; IBM; Tech Mahindra; Harman International Industries; Microsoft; Wipro; Hcl Technologies; Tata Consultancy Services Limited; AT and T; Honeywell International Inc.; Amazon; HP (Hewlett Packard); Intel Security Group; Apple and Qualcomm. Asia-Pacific was the largest region in the internet of things (IoT) services market in 2022. North America was the second largest region in the global internet of things (IoT) services market. The regions covered in the global internet of things (IoT) services report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the internet of things (IoT) services market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The Internet of Things (IoT) services market includes revenues earned by entities by providing IoT services that are used in building and home automation, smart energy and utilities, connected logistics, smart retail, smart mobility, and transportation. 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 IoT services market is segmented - 1) By Type: Professional Services, Managed Services 2) By Vertical: Manufacturing, Retail, IT & Telecom, Transportation & Logistics, Utilities, Healthcare, Energy, Other Verticals 3) By Application: Smart Buildings, Smart Manufacturing, Smart Transport and Logistics, Smart Healthcare, Smart Retail, Smart Energy

The cloud management platform refers to integrated software management tools used to implement and monitor the public, private, and hybrid cloud environments. It combines a set of features or modules which enable the management to work on different virtual cloud environments. The platform's purpose is to assist IT teams in the security and optimization of cloud infrastructure, including the applications and data. It aims to improve the management of cloud settings, cost and performance optimization, and security enhancement. The main components of cloud management platform include IT operations management (ITOM), IT service management (ITSM) and IT automation and configuration management (ITACM). ITACM refers to a software and SaaS solutions that automate the configuration, transfer, and workload management of physical and virtual systems, apps, and the workloads they serve on-premises and in the cloud. These components are deployed through private cloud, public cloud and hybrid methods into SMEs and large enterprises. The major verticals that use the cloud management platform include BFSI, telecommunications, IT and ITeS, government and public sector, retail and consumer goods, manufacturing, energy and utilities, media and entertainment and healthcare. The cloud management platform market research report is one of a series of new reports from The Business Research Company that provides cloud management platform market statistics, including cloud management platform industry global market size, regional shares, competitors with a cloud management platform market share, detailed cloud management platform market segments, market trends and opportunities, and any further data you may need to thrive in the cloud management platform industry. This cloud management platform 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 cloud management platform market size grew from $14.24 billion in 2022 to $17.15 billion in 2023 at a compound annual growth rate (CAGR) of 20.5%. 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 cloud management platform market size is expected to grow to $35.2 billion in 2027 at a CAGR of 19.7%. The growing adaptability of cloud computing technology is expected to propel the growth of the cloud management platform. Cloud computing aims to improve internet-based database capabilities and scalability while lowering costs and risks. Organizations use cloud computing, or remote computers hosted on the Internet, to store, manage, and process essential data. These improvements and uses provide distribution of computing services such as servers, networking, software, analytics, storage, databases, and intelligence through the Internet to provide faster innovation, more flexible resources, and cost savings. For instance, according to the Flexera 2022, State of the Cloud report, a survey of 753 respondents on the cloud adoption was performed in 2021, the survey states an increase in Y-O-Y spending on cloud, with 53% spending $1.2 million in 2022, up from 38% in 2021. Therefore, the growing adaptability of cloud computing technology will drive the growth of the cloud management platform market. The use of a multi-cloud management platform is a key trend in the cloud management platform market. It is a set of services that work together to address the issues associated with multi-cloud deployments for simplified hybrid IT management. The multi-cloud management platform includes application identification and dependency mapping, migration planning, capacity optimization, cloud cost control, cloud security automation, increased performance and availability, and intelligent IT service management. These functionalities ease the workflow process and decrease the operational cost for the company. For instance, in October 2020, Oracle, a US-based computer software company, launched multi-cloud observability and management platform. This combines a comprehensive set of management, diagnostic, and analytics services to assist customers in removing the complexity, risk, and cost associated with a fragmented approach to managing multi-cloud. In July 2020, Freshworks, a US-based IT services and IT consulting company, acquired Flint for an undisclosed amount. With this acquisition, Freshworks will provide IT teams with greater visibility, allowing them to manage hybrid infrastructure better, optimize budgets, and automate staff functions. Flint is a Singapore-based IT orchestration and cloud management platform company. Major players in the cloud management platform market are BMC Software, IBM, VMware, New Relic, Splunk, Microsoft Corporation, Cisco Systems, Oracle Corporation, ServiceNow, RightScale, Amazon Web Services, Micro Focus International, HyperGrid, Puppet, Doublehorn, Densify, Riverbed, Jam cracker, Broadcom, SAP, CloudCheckr, Morpheus Data, Rackspace, Flexera and Dell Technologies. North America was the largest region in the cloud management platform market in 2022. The regions covered in the cloud management platform market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the cloud management platform market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The cloud management platform market includes revenues earned by entities by data recovery, enterprise IT management, enterprise mobility management, incident management and IT asset management. 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 cloud management platform market is segmented - 1) By Component: IT Operations Management (ITOM), IT Service Management (ITSM), IT Automation And Configuration Management (ITACM) 2) By Deployment Mode: Private Cloud, Public Cloud, Hybrid 3) By Organization Size: Small And Medium-Sized Enterprises (SMEs), Large Enterprises 4) By Verticals: BFSI, Telecommunications, IT And ITeS, Government And Public Sector, Retail And Consumer Goods, Manufacturing, Energy And Utilities, Media And Entertainment, Healthcare

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