Global Legal Software (focus on machine learning) Market

SaaS is a software distribution model which allows data to be accessible from any device with an internet connection and a web browser. The software provider hosts and maintains the servers, databases, and code that comprise the application under this web-based approach. The main deployment types of software as a service (SaaS) are public cloud and private cloud. The public cloud is an IT model in which on-demand computing services and infrastructure are managed by a third party and shared by multiple organizations via the public Internet. The software is used by small and medium enterprises (SMEs), large enterprises for customer relationship management (CRM), enterprise resource planning (ERP), human resource management (HRM), manufacturing and operations and supply chain management (SCM). The various end users of the software include manufacturing, retail, education, healthcare, IT and telecom, BFSI and others. The software as a service (SaaS) market research report is one of a series of new reports from The Business Research Company that provides software as a service (SaaS) market statistics, including software as a service (SaaS) industry global market size, regional shares, competitors with a software as a service (SaaS) market share, detailed software as a service (SaaS) market segments, market trends and opportunities, and any further data you may need to thrive in the software as a service (SaaS) industry. This software as a service (SaaS) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry. The global software as a service (saas) market size will grow from $235.58 billion in 2022 to $253.62 billion in 2023 at a compound annual growth rate (CAGR) of 7.7%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global software as a service (saas) market size is expected to grow to $328.03 billion in 2027 at a CAGR of 6.6%. Rapid changes in business dynamics in the market are expected to benefit the software as a service (SaaS) market in the forecast period as cloud-based solutions support business operations in changing conditions. Dynamic market conditions include economic uncertainty, competitive rivalry and the increasing adoption of mobile, changing regulations, internet usage and applications. These conditions along with the increasing number of infrastructures and established networks have forced organizations to pursue scalable and flexible solutions such as SaaS and other cloud-enabled services to run and supervise their operations in a cost-effective and efficient way. These factors have also compelled companies to outsource applications and prefer cloud computing services like SaaS to reduce their cost burden on infrastructure. Companies that seek services from a third-party vendor are more likely to get better performance, compliance and customer satisfaction at a low cost. For example, Sony Communications aims at delivering innovative products and better experiences to its customers using automation and Infosys SaaS solutions. Infosys helped Sony to attain customer loyalty and win competition by providing robust IT solutions and design thinking at a low cost which helped Sony to have a competitive edge in the market. Increasing threats on data security especially on cloud platforms are expected to limit the growth of companies in the software as a service market during the forecast period. The threats on data security include industrial espionage and hacking which resulted in multiple breaches of data security involving public cloud environments. These breaches are mainly because of the negligence the cloud service providers. In addition, many companies lack trust in data security when outsourcing from a third-party vendor. As vendor has access to organizations' data, companies fear the misuse of data which might affect the organization's reputation. For example, Code Spaces, a former SaaS provider, discontinued its operations as hackers had access to its cloud services and stole all their data due to which Code Spaces faced damages to its reputation, finances, and business. The introduction of artificial intelligence is gaining popularity in the SaaS market. Artificial Intelligence (AI) is an area of computer science that focus on the simulation of human intelligence processes by machines. AI in SaaS helps companies to upgrade themselves from time to time with the latest data, create better user experience through predictive analytics, automate the areas where manual functions were required previously and personalize user interface features. For example, Oracle, a big player in SaaS market uses AI and machine learning to overtake salesforce in SaaS. This indicates that AI and machine learning would be differentiating factors for the growth of SaaS market. The General Data Protection Regulation (GDPR) break the split of regulations for the security of personal data in the European Union. It makes provisions to protect personal data and privacy of EU citizens for transactions that happen within EU member states. It also regulates the export of personal data outside the EU. There could be data-subjects that patronize the subscriber that are located in the EU, even if a single SaaS subscriber is based in a non-EU location and the SaaS application is based in a non-EU location. This may cause the subscriber to follow the GDPR regulations. For instance, Intercom, a US-based SaaS provider is shortening its time of storing data on visitors to customers' sites by deleting the visitor data if a visitor has not been seen for nine months to comply with the GDPR. In October 2021, Microsoft Corporation acquired Ally.io for an undisclosed amount. With this acquisition, Ally.io has become a member of the Microsoft Viva family as part of its employee experience platform (EXP) designed to assist businesses in embracing the new digital work life. Ally.io is a US-based SaaS startup. Major players in the Software as a Service (SaaS) market are Salesforce, ServiceNow, Microsoft, Google, CisCo., Slack, Adobe, Oracle, Amazon AWS, DocuSign, Zendesk, Dropbox, ADP, Atlassian Confluence, Shopify, Workday, Hubspot, SAP, IBM, Box, Concur, JIRA, GitHub, GoToMeeting, Twilio, CoupaSoftware, Xero and Zuora. North America was the largest region in the Software as a Service (SaaS) market in 2022. Western Europe was the second largest region in the global Software as a Service (SaaS) market. The regions covered in the global Software as a Service (SaaS) market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the software as a service (SaaS) market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The software as a service (SaaS) market includes revenues earned by entities by providing cloud based software services. SaaS is a software solution that can be purchased on a subscription or pay per use basis to use an application for organizational purposes. Customers can access this application over the internet, mainly through a web browser. All software and application data is located in the service provider's data center. SaaS allows an organization to run an application with minimal upfront costs and accelerates the overall functionality of the organization. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global software as a service (SaaS) market is segmented - 1) By Application: Customer Relationship Management (CRM), Enterprise Resource Planning (ERP), Human Resource Management (HRM), Manufacturing and Operations, Supply Chain Management (SCM) 2) By Deployment Model: Public Cloud, Private Cloud, Hybrid Cloud 3) By Enterprise Size: Small & Medium Enterprises (SMEs), Large Enterprises 4) By End User: Manufacturing, Retail, Education, Healthcare, IT & Telecom, BFSI, Other End-Users

Artificial intelligence chips are specific computer chips designed to achieve high efficiency and speed for computations related to AI at the expense of low efficiency and speed for other calculations and that is used for assisting clients in obtaining business insights at scale across banking, finance, trading, insurance applications, and client engagements. The main types of artificial intelligence chips are GPU, ASIC, FPGA, CPU, and other chip types. A GPU provides the fastest graphics processing, and for gamers, the GPU is a stand-alone card plugged into the PCI Express (PCIe) bus. The processing types include edge and cloud. The technologies involved system-on-chip (soc), system-in-package (sip), multi-chip module, and other technologies. The applications are natural language processing (NLP), robotics, computer vision, network security, and other applications. The various industries include media and advertising, BFSI, IT and telecom, retail, healthcare, automotive and transportation, and other industries. The artificial intelligence chips market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence chips market statistics, including artificial intelligence chips industry global market size, regional shares, competitors with an artificial intelligence chips market share, detailed artificial intelligence chips market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence chips industry. This artificial intelligence chips 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 chip market size grew from $15.65 billion in 2022 to $23.29 billion in 2023 at a compound annual growth rate (CAGR) of 48.8%. 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 artificial intelligence chip market size is expected to grow to $88.85 billion in 2027 at a CAGR of 39.8%. An increase in demand for smart homes and smart cities is expected to propel the growth of the artificial intelligence chip market going forward. A "smart city" refers to a city that uses digital or information-communication technology to improve the comfort and efficiency of human life. One strategy for urbanisation that aims to achieve sustainable growth is making cities equipped with cutting-edge features for residents to live, walk, shop, and enjoy a safer and more convenient existence. For instance, in March 2022, according to an article shared by Arab News, a Middle East English-language daily newspaper, Saudi Arabia launched a new smart city project in Jeddah for light industries and auto repair, opening the first two stages of the city, the second of which is a 500,000 square metre labour city. A total of 5 million square metres is covered by the Smart City initiative. Further, According to Saudi Vision 2030, a Saudi Arabia-based strategic framework, the city is distinguished by an interconnected infrastructure and the application of digital and smart technology to offer automated services to customers. Therefore, the increase in demand for smart homes and smart cities is driving the growth of artificial intelligence chips. Technological advancement is a key trend gaining popularity in the artificial intelligence chip market. Major companies in the artificial intelligence chip market are advancing in their new technologies and research and developments in the artificial intelligence chip market, such as the NVIDIA A100 chips to streamline AI training and inference and improve efficiency. For instance, in May 2020, NVIDIA, a US-based company that specialises in the development and production of chipsets, processors, and related multimedia software for computers operating in the artificial intelligence chip market, launched the EGX A100 and EGX Jetson. The first edge AI product based on the NVIDIA Ampere architecture is the EGX A100. The EGX Jetson is the world’s smallest and most powerful AI supercomputer for microservers, and the product has unique features such as providing high-performance, secure AI processing at the edge. There are two models: the EGX A100 for bigger commercial off-the-shelf servers and the compact EGX Jetson Xavier NX for micro-edge servers. Hospitals, shops, farms, and factories can process and secure the enormous volumes of data pouring from trillions of edge sensors with the NVIDIA EGXTM Edge AI platform. In January 2020, Apple Inc., a US-based multinational technology acquired Xnor.ai for a deal of $ 200 million. Through this acquisition, Apple Inc aims to strengthen its product portfolio in artificial intelligence-enabled image recognition tools. Xnor.ai is a US-based software company. Major players in the artificial intelligence chip market are Intel Corporation, Mediatek Inc., NVIDIA Corporation, Qualcomm Technologies Inc., Advanced Micro Devices Inc., Alphabet Inc., NXP Semiconductors N.V, Micron Technology Inc., IBM Corporation, Apple Inc., Huawei Technologies Co. Ltd., Mythic Inc., Samsung Electronics Co. Ltd., LG Corporation, and Google LLC. North America was the largest region in the artificial intelligence market in 2022. The regions covered in this artificial intelligence market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the artificial intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The artificial intelligence chips market consists of sales of application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), central processing units (CPUs), and GPUs. 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 artificial intelligence chip market is segmented - 1) By Chip Type: GPU, ASIC, FPGA, CPU, Other Chip Types 2) By Processing Type: Edge, Cloud 3) By Technology: System-On-Chip (SoC), System-In-Package (SIP), Multi-Chip Module, Other Technologies 4) By Application: Natural Language Processing (NLP), Robotics, Computer Vision, Network Security, Other Applications 5) By Industry: Media and Advertising, BFSI, IT and Telecom, Retail, Healthcare, Automotive and Transportation, Other Industries

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

Legal services refers to any service related to the conduct of any case or other legal proceeding before any court, different authority, or tribunal, as well as the provision of legal advice. Legal service is regarded as central in providing access to justice by ensuring equality before the law, the right to counsel and the right to a fair trial. The main types of legal services are B2B legal services, B2C legal services, hybrid legal services, and criminal law practices. Commercial law firms typically provide B2B legal services. Listed corporations, government agencies, small and medium-sized businesses, and high-net-worth individuals are among the clients of commercial law firms. The different types of practises include litigation, corporate, labor/employment, real estate, patent litigation, tax, bankruptcy, others (regulatory, M&A, antitrust, environmental) and involve various company sizes, such as large law firms, SME law firms. The several sectors include individuals, financial services, mining and oil & gas, manufacturing, construction, IT services and others. The legal services market research report is one of a series of new reports from The Business Research Company that provides legal services market statistics, including legal services industry global market size, regional shares, competitors with a legal services market share, detailed legal services market segments, market trends and opportunities, and any further data you may need to thrive in the legal services industry. This legal services 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 legal services market grew from $787.28 billion in 2022 to $838.92 billion in 2023 at a compound annual growth rate (CAGR) of 6.6%. 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, surge in commodity prices, and supply chain disruptions, and affecting many markets across the globe. The legal services market is expected to grow from $1,034.52 billion in 2027 at a CAGR of 5.4%. Globally, changes in political structures, legal reforms, and trade agreements are creating opportunities for law firms. International companies and organizations are bound to comply with various laws and regulations of different countries and specific trade agreements. Changes in the legal structure of intrastate agreements increase the demand for legal services. For instance, the UK's exit from the European Union is expected to increase the demand for legal services due to the complexity of the regulatory and legislative changes pertaining to jurisdiction, judicial structure, and trade. Law firms such as Dechert, Simmons & Simmons, Clifford Chance, and DLA Piper have set up specialized BREXIT teams and hotlines staffed with lawyers to help clients with a smooth transition. Going forward, the USA's withdrawal from the Trans-Pacific Partnership, the Paris Agreement, and the Korea trade deal is expected to further drive the demand for legal services in the future. The outbreak of COVID-19 Pandemic (COVID-19) has acted as a restraint on the legal services market in 2020 as governments globally imposed lockdowns and restricted trade, thereby limiting the need for professional services. COVID-19 is an infectious disease with flu-like symptoms including fever, cough, and difficulty breathing. The virus was first identified in 2019 in Wuhan, Hubei province of the People's Republic of China and has 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 is expected to continue to have a negative impact on businesses throughout 2020 and into 2021. However, it is expected that the legal services market will recover from the shock over 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. Due to the increasing incidence of cybercrime, law firms around the world are offering cybercrime legal consulting services to their clients. Cybercrime refers to a crime that is committed using an internet connection and a computer. This includes cyber-stalking, counterfeiting, money laundering, embezzlement, fraud, and tax evasion using the internet and electronic devices. In the UK alone, around $35 billion is the estimated annual cost of cybercrime. Law firms offering cybercrime consulting services employ lawyers, consultants, and ethical hackers who are experienced in handling crisis management, online financial theft, loss of data, data privacy, and intellectual property infringement. Large law firms practicing in the field of data privacy and cybersecurity include Latham & Watkins, DLA Piper, and Skadden, Arps, Slate, Meagher & Flom. Global demand for cybercrime legal consulting services is expected to rise as organizations and individuals become more concerned about cybercrime. Major companies in the legal services market include Latham & Watkins LLP, Kirkland & Ellis LLP, DLA Piper, Baker & McKenzie, Dentons, Skadden, Arps, Slate, Meagher & Flom LLP and Affiliates, Sidley Austin LLP, Morgan, Lewis & Bockius LLP, Linklaters LLP, and Jones Day. North America was the largest region in the legal services market in 2022. Western Europe was the second largest region in the legal services market. The regions covered in the legal services market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the legal services market are Argentina, Australia, Austria, Belgium, Brazil, Canada, Chile, China, Colombia, Czech Republic, Denmark, Egypt, Finland, France, Germany, Hong Kong, India, Indonesia, Ireland, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Romania, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Thailand, Turkey, UAE, UK, USA, Venezuela, and Vietnam. The legal services market consists of revenue earned by entities by providing services such as advising clients (individuals, businesses or other entities) about their legal rights and responsibilities, and representing clients in civil or criminal cases, business transactions and other matters, in which legal advice and other assistance are sought. Legal services undertake processes where human capital is the major input. They make available the knowledge and skills of their employees, often on an assignment basis, where an individual or a team is responsible for the delivery of services to the client. 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 legal services market is segmented - 1) By Type: B2B Legal Services, B2C Legal Services, Hybrid Legal Services, Criminal Law Practices 2) By Size: Large Law Firms, SME Law Firms 3) By End-Users: Individuals, Financial Services, Mining And Oil & Gas, Manufacturing, Construction, IT Services, Other End-Users 4) By Type Of Practice: Litigation, Corporate, Labor/Employment, Real Estate, Patent Litigation, Tax, Bankruptcy, Other Type Of Practices (Regulatory, M&A, Antitrust, Environmental) 5) By Mode: Online, Offline

Conversational AI is a type of artificial intelligence that allows users to engage with computer applications such as advanced chatbots or AI chatbots similar to the way they would interact with other humans. The conversational artificial intelligence (AI) is used to respond to queries, resolve issues, collect information, conduct transactions, and deliver services more quickly and efficiently. The main types of conversational AI include IVA and chatbots. IVAs are intelligent virtual assistants that are used to find the necessary information or accomplish tasks depending on particular user information, prior discussions, and their location. The different conversational AI components include platforms and services. The deployment types include cloud and on-premise. The conversational AI technologies include machine learning, deep learning, NLP and automated speech recognition, used by end-users such as BFSI, retail and e-commerce, healthcare and life science, travel and hospitality, telecom, media and entertainment and other end-users. The conversational AI market research report is one of a series of new reports from The Business Research Company that provides conversational AI market statistics, including conversational AI industry global market size, regional shares, competitors with a conversational AI market share, detailed conversational AI market segments, market trends and opportunities, and any further data you may need to thrive in the conversational AI industry. This conversational AI 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 conversational ai market size grew from $7.86 billion in 2022 to $9.73 billion in 2023 at a compound annual growth rate (CAGR) of 23.8%. 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 conversational ai market size is expected to grow to $22.07 billion in 2027 at a CAGR of 22.7%. Increasing focus on customer engagement is expected to drive the conversational AI market. Customer engagement is the process of communicating with customers through various channels to strengthen relationships. Most businesses are focusing on increasing the customer experience to increase customer loyalty and revenue generation. According to the 2022 State of Customer Engagement Report published by Twilio, a US-based customer engagement platform for customized experiences, companies that invested in digital client engagement had revenue growth of 70% over the past two years. Conversational AI involves the use of messaging apps, speech-based assistants, and chatbots to automate conversation and provide personalized consumer engagement. Therefore, increasing focus on customer engagement will drive the conversational AI market. Technological advancements in conversational AI are a key trend in the market. Companies operating in the conversational AI market have come up with various technological advancements such as no-code development technology, easier deployment, advanced machine learning and natural language processing technology to increase usage and adoption of conversational AI in industries with no technical background. For instance, in November 2021, ZeroShotBot, a chatbot builder based in the United States, released a new innovative conversational AI technology that democratizes chatbots for both large and small organizations. ZeroShotBot is an approach to constructing chatbots that can be scalable in hours and do not require training data, allowing anyone with no coding knowledge or training to create a fully functional chatbot. In March 2022, Microsoft Corporation, a US-based software company, acquired Nuance Communications Inc for a $19.7 billion deal. With this acquisition, Microsoft aims to boost its AI and cloud capabilities. This deal brings Nuance’s conversational AI and ambient intelligence with Microsoft’s secure and trusted industry cloud offerings. Nuance Communications Inc is a US-based software company that provides conversational AI and ambient intelligence across the healthcare, financial services, retail and telecommunications industries. Major players in the conversational ai market are Google Inc., IBM Corporation, Amazon Web Services Inc., Artificial Solutions Holding ASH AB, Baidu Inc., Microsoft Corporation, Oracle Corporation, SAP ERP, Kore.ai Inc., Jio Haptik Technologies Limited, Conversica Inc., Rasa Technologies Inc., Solvvy, Saarthi.ai, Exceed.ai, Mindsay, and FIS. North America was the largest region in the conversational AI market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in conversational AI market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the conversational AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The conversational artificial intelligence (AI) market consists of revenues earned by entities by providing machine learning and natural language processing. 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 conversational ai market is segmented - 1) By Type: IVA, Chatbots 2) By Component: Platform, Services 3) By Deployment: Cloud, On-Premises 4) By Technology: Machine Learning, Deep Learning, NLP, Automated Speech Recognition 5) By End User: BFSI, Retail and E-commerce, Healthcare and Life Science, Travel and Hospitality, Telecom, Media and Entertainment, Other End-Users

AI in marketing refers to obtaining and evaluating consumer data for making marketing decisions on behalf of an algorithm or machine learning engine that helps in making automated judgments that are based on data gathering, analysis, and further observations of the data from the audience or economic patterns that may influence marketing efforts. The main types of technologies used in artificial intelligence in marketing are machine learning, context-aware computing, natural language processing and computer vision. The machine learning solutions in marketing refers to a computer programme can learn and adapt to new data without human involvement. Machine learning is a type of artificial intelligence (AI) that helps in maintaining built-in algorithms of a computer's up to date. These technologies are offered through hardware, software and services and deployed through cloud or on-premises. Artificial intelligence in marketing have applications in social media advertising, search advertising, dynamic pricing, virtual assistant, content curation, sales and marketing automation, analytics platform, others. The artificial intelligence in marketing market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence in marketing market statistics, including artificial intelligence in marketing industry global market size, regional shares, competitors with an artificial intelligence in marketing market share, detailed artificial intelligence in marketing market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in marketing industry. This artificial intelligence in marketing 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 in marketing market size grew from $17.48 billion in 2022 to $22.64 billion in 2023 at a compound annual growth rate (CAGR) of 29.5%. 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 artificial intelligence in marketing market size is expected to grow to $64.31 billion in 2027 at a CAGR of 29.8%. The increasing adoption of virtual assistants is expected to drive the artificial intelligence in marketing market. Virtual assistants are services over the internet or dedicated network with delivery on demand. Due to the pandemic and lockdowns, small and medium-scale enterprises are increasingly focusing on streamlining their business models by adopting virtual assistants. For instance, in April 2022, ThriveMyWay publisehd an article which states that chatbot ecommerce transactions is projected to hit $112 billion by 2023. Conversational technologies such as virtual agents and chatbots can help businesses save up to 30% on customer support costs. Hence, the increasing adoption of virtual assistants will increase the demand for artificial intelligence in the marketing market. The advancement of technologies is seen as an emerging trend in artificial intelligence (AI) in marketing market. Software companies are bringing new advanced technology for automated and integrated business models. In October 2020, IBM planned to provide its IBM Watson, an AI for business toolset to industry leaders and make it available across the advertising ecosystem. Altering existing business practices can provide firms with improved AI capabilities in language, automation, and trust. In March 2022, Zoomd Technologies Ltd., an Israel-based company marketing tech company announced the acquisition of Albert Technologies Ltd., for an undisclosed amount. Through this deal, Zoomd aims to expand its products onto a Self-Service and SaaS business model using Albert’s expertise in artificial intelligence (AI) and add Fortune 500 customers that will now be able to use Zoomd products and services. Albert Technologies Ltd. is a US-based company offering artificial intelligence marketing solution. Major players in the artificial intelligence in marketing market are IBM, Salesforce, Amazon, Facebook, Oracle, Microsoft, NVIDIA, GumGum, Heuritech, Alphabet, Baidu, NetBase, Appier, QuantCast and Dstillery. APAC was the largest region in the artificial intelligence in marketing market in 2022. The regions covered in the artificial intelligence in marketing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the artificial intelligence in marketing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The artificial intelligence in the marketing market includes revenues earned by entities by making automated judgments based on audience or economic patterns that may affect marketing activities, data collection, analysis, and other observations. 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 in marketing market is segmented - 1) By Technology: Machine Learning, Context-Aware Computing, Natural Language Processing, Computer Vision 2) By Offering: Hardware, Software, Services 3) By Deployment Type: Cloud, On Premises 4) By Application: Social Media Advertising, Search Advertising, Dynamic Pricing, Virtual Assistant, Content Curation, Sales And Marketing Automation, Analytics Platform, Other Applications

Storage & backup software is an application used to store data, make duplicate copies of the data to protect it, and make it recoverable in the event of loss, damage, or malware infection. The main types of storage and backup software are storage software and backup software. Backup software allows to backup files, folders, documents, software data, most data types in a computer or server. The software is deployed through cloud and on-premise mode by various end-users such as banking, financial services and insurance (BFSI), telecommunication, consumer goods and retail, media and entertainment, healthcare and life sciences, and government. The storage and backup software market research report is one of a series of new reports from The Business Research Company that provides storage and backup software market statistics, including storage and backup software industry global market size, regional shares, competitors with storage and backup software market share, detailed storage and backup software market segments, market trends and opportunities, and any further data you may need to thrive in the storage and backup software industry. This storage and backup 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 storage and backup software market size will grow from $18.02 billion in 2022 to $19.33 billion in 2023 at a compound annual growth rate (CAGR) of 7.3%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global storage and backup software market size is expected to grow to $24.29 billion in 2027 at a CAGR of 5.9%. The growing volume of data and the awareness among organizations to backup and protect their data are expected to benefit the storage and backup software market in the forecast period. In addition, the growing adoption of cloud-based technologies, and the need for storage and protection across all enterprises are also driving the growth of the storage and backup software market. For example, it is estimated that more than 72% of global enterprises will shift to cloud storage from on-premise data centers by 2022. Rising concerns about data privacy and governance are expected to restrain market growth. Security concerns over protecting information regarding stakeholders and private data caused due to hacking, espionage and other security threats restrict the deployment of cloud storage and other software for storage and backup. These factors invariably limit the storage and backup software market. For example, industries such as BFSI, healthcare, retail, and others are unwilling to invest in the market due to security issues, thus restraining it to grow at its full potential. One of the latest trends in the storage and backup software market is the adoption of artificial intelligence (AI) based applications which can create, store and protect data. Artificial intelligence is an area of computer science which simulates human intelligence. AI based applications create information on their own and verify the source of information before composing bits of knowledge to a database. These applications can also refine database management policies, align data to database capabilities and assess metadata across organization storage infrastructure. For instance, Commvault, one of the major vendors in the field of storage and backup software, introduced a new kind of backup and recovery software, which works with AI. This software helps users to keep data backup and recovery more efficient and effective by analyzing their patterns and performance. In March 2020, Insight Partners, a US-based venture capital and private equity firm acquired Veeam Software for $5 billion. The acquisition enables Veeam to further drive its growth through support, invaluable resources, and expertise of Insight Partners. Veeam Software is an American provider of backup, disaster recovery and modern data protection software. Major players in the storage and backup software market are Dell Inc., HPE, Netapp, Hitachi, IBM, Huawei, International Business Machines Corporation, Toshiba Corporation, Pure Storage Inc., Nutanix Inc., Micron Technology, Tintri, Inc., Cloudian, Inc., Quantum Corporation, Samsung Electronics, Fujitsu Ltd., VMware, Inc., Nexenta Systems, Netgear Inc., Inspur, Oracle, Acronis, Commvault, CA Technologies. Asia-Pacific was the largest region in the storage and backup software market in 2022. North America was the second largest region of the global storage and backup software market. The regions covered in the global storage and backup software market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the storage and backup software market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The storage and backup software market includes revenues earned by entities by developing and distributing software, which provides users and programmers with a systematic way to create, retrieve, update and manage data. This software allows users to read, update and delete data, which can then be fetched directly and/or through programmatic access. 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 storage and backup software market is segmented - 1) By Type: Storage Software, Backup Software 2) By End User: Banking, financial services & insurance (BFSI), Telecommunication, Consumer goods & retail, Media & entertainment, Healthcare & life sciences, Government 3) By Deployment: Cloud, On-premise

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