Natural Language Processing Market By Type (NLP, Rule Based NLP, and Hybrid NLP), By Deployment Mode (Private Cloud, Public Cloud, and Hybrid Cloud), By Application (Information Extraction, Machine Translation, Question Answering, Report Generation), By Vertical (Healthcare, Banking, Financial Services, and Insurance (BFSI)), By Geography, Forecast, 2021-2028, Artificial Intelligence Market By Component Analysis (Hardware, Software and Services), By Technology (Deep Learning, Machine Learning, Natural Language Processing), By End-User Industry (Healthcare, Manufacturing, Agriculture), By Geography, Forecast, 2021-2028, Cognitive Computing Market By Component (Natural Language Processing, Machine Learning, Automated Reasoning), By Deployment Model (On-Premise, Cloud), By Geography, Forecast, 2021-2028, Machine Learning Artificial intelligence Market By Type (Deep Learning, Natural Language Processing), By Application (Automotive & Transportation, Agriculture), By Geography, Forecast, 2021-2028, Top 5 Crowd Analytics accountable for meteoric rise of AI-driven enterprises. Majority of enterprises in the region rely on Big Data to construct defenses against cyber-attacks. Machine learning is a subcategory of artificial intelligence that refers to a process through which computers gain pattern recognition, or the capacity to continually learn from and make predictions based on data and make improvements without being explicitly programmed to do so with the help of data analytics. Initiatives taken by market players are driving revenue growth of the market, for instance: On 5 January 2022, Amazon and Stellantis collaborated to introduce customer-centric connected experiences across millions of vehicles to help accelerate Stellantis software transformation. - 35) 4.1 Attractive Opportunities in the Market 4.2 Market: Top Three Verticals 4.3 Lifecycle Analysis, By Region, 20172022, 5 Machine Learning Market Overview and Industry Trends (Page No. Furthermore, ML alsooffers immense potential, from wearable data-driven gadgets that track health and fitness objectives to self-driving cars and smart cities with infrastructure that can automatically minimize time wastageand energy. According to Verified Market Research, the Global Machine Learning As A Service Market size was valued at USD 2.48 Billion in 2020 and is projected to reach USD 38.81 Billion by 2028, growing at a CAGR of 41.2% from 2021 to 2028. The growth of the professional services segment is mainly governed by the complexity of operations and increasing deployment of machine learning solutions. However, these methods are frequently ineffective and costly. The growing number of transactions due to a variety of payment methods cellphones, credit/debit cards, and others raises the risk of fraud. What is the expected Compound Annual Growth Rate (CAGR) in terms of revenue for the global machine learning market over the forecast period (2022-2030)? ML is used by AI systems to establish and analyzefrequently asked queries and make it feasible for robots to handle corporate management tasks in the future years. Subscribe to our newsletter and never miss our latest news. Verified Market Research is a leading Global Research and Consulting firm servicing over 5000+ customers. VMI enables data delivery In Excel and Interactive PDF formats with over 15+ Key Market Indicators for your market. These can reduce the possibility of unexpected failures, resulting in fewer preventive maintenance projects. On 18 May 2021, Google Cloud launched Vertex AI, a new managed machine learning platform. Artificial intelligence and data science are increasingly being used to deliver quantitative insights into businesses that are expected to drive revenue growth of the segment. - 69) 8.1 Introduction 8.2 Large Enterprises 8.3 SMEs, 9 Machine Learning Market Analysis, By Service (Page No. In the services segment, the managed service segment is expected to grow at a higher CAGR, whereas professional service segment is expected to be a larger contributor during the forecast period. Small and medium-sized enterprises segment is expected to register a steady revenue growth rate during the forecast period. The algorithms can handle the data that are multi-dimensional and multi-variety, even in dynamic or uncertain environments. The major players in the market are Hewlett Packard Enterprises, AT&T, FICO, IBM Corporation, Microsoft, Google Inc., BigML Inc., Ersatz Labs, Yottamine Analytics, and Amazon Web Services. - 16) 1.1 Objectives of the Machine Learning MarketStudy 1.2 Market Definition 1.3 Market Scope 1.4 Years Considered for the Study 1.5 Currency 1.6 Stakeholders, 2 Research Methodology (Page No. Over a billion devices connected have already been deployed in industrial automation. The major vendors in machine learning market are Microsoft Corporation (Washington, US), IBM Corporation (New York, US), SAP SE (Walldorf, Germany), SAS Institute Inc. (North Carolina, US), Google, Inc. (California, US), Amazon Web Services Inc. (Washington, US), Baidu, Inc. (Beijing, China), BigML, Inc. (Oregon, US), Fair Isaac Corporation (FICO) (California, US), Hewlett Packard Enterprise Development LP (HPE) (California, US), Intel Corporation (California, US), KNIME.com AG (Zurich, Switzerland), RapidMiner, Inc. (Massachusetts, US), Angoss Software Corporation (Toronto, Canada), H2O.ai (California, US), Alpine Data (California, US), Domino Data Lab, Inc. (California, US), Dataiku (Paris, France), Luminoso Technologies, Inc. (Massachusetts, US), TrademarkVision (Pennsylvania, US), Fractal Analytics Inc. (New Jersey, US), TIBCO Software Inc. (California, US), Teradata (Ohio, US), Dell Inc. (Texas, US), and Oracle Corporation (California, US). Such errors can lie undiscovered for a long time and correcting them can take much longer. These verticals are also expected to witness significant growth rates during the forecast period due to the increased concerns for managing the complex business processes with improved efficiency and lowering the overall costs. The global machine learning market has been segmented on the basis of regions into North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America. Key players are engaged in strategic alliances to expand their respective portfolios and gain a robust footing in the global market. ML aids in development of extremely effective maintenance programs. Some companies use machine learning as a major tool in their business models. The bottom-up procedure was employed to arrive at the overall market size from the revenues of the key market players. The research methodology used to estimate and forecast the global market size began with the capturing of data on the key vendor revenues through secondary research, annual reports, Institute of Electrical and Electronic Engineers (IEEE), Factiva, Bloomberg, and press releases. Fraud detection & risk analytics segment accounted for the largest revenue share in 2021. Machine learning aids in data analysis of big data and identification of trends and patterns in databases that might otherwise go undetected. Smart and connected innovations have augmented the formation of enormous amounts of information, which can then be investigated to produce profitable insights. The service is part of the Microsoft Power Platform, which also includes Power Apps, Power BI, and Power Automate (previously known as Microsoft Flow), and intends to democratize bot development. Our analysts are trained to combine modern data collection techniques, superior research methodology, expertise and years of collective experience to produce informative and accurate research. The breakdown of the profiles of the primary participants is depicted in the figure given below: To know about the assumptions considered for the study, download the pdf brochure, Vertical (BFSI, Healthcare and Life Sciences, Retail, Telecommunication, Government and Defense, Manufacturing, Energy and Utilities), Deployment Mode, Service, Organization Size, and Region, North America, Europe, APAC, MEA, and Latin America, Microsoft Corporation (Washington, US), IBM Corporation (New York, US), SAP SE (Walldorf, Germany), SAS Institute Inc. (North Carolina, US), Google, Inc. (California, US), Amazon Web Services Inc. (Washington, US), Baidu, Inc. (Beijing, China), BigML, Inc. (Oregon, US), Fair Isaac Corporation (FICO) (California, US), Hewlett Packard Enterprise Development LP (HPE) (California, US), Intel Corporation (California, US), KNIME.com AG (Zurich, Switzerland), RapidMiner, Inc. (Massachusetts, US). These Machine Learning Software Vendors are rated and listed by us on the basis of product quality, reliability, and their business strategy. To respond to client inquiries, virtual agents use Artificial Intelligence (AI) technologies. When typing in this field, a list of search results will appear and be automatically updated as you type. - 20) 2.1 Research Data 2.1.1 Secondary Data 2.1.2 Primary Data 2.1.2.1 Breakdown of Primaries 2.1.2.2 Key Industry Insights 2.2 Machine Learning Market Size Estimation 2.2.1 Bottom-Up Approach 2.2.2 Top-Down Approach 2.3 Microquadrant Research Methodology 2.3.1 Vendor Inclusion Criteria 2.4 Research Assumptions 2.5 Limitations, 4 Premium Insights (Page No. Flexibility, automated software updates, disaster recovery through cloud-based backup systems, increased collaboration, monitoring document version control, and data loss prevention with robust cloud storage facilities are some of the crucial benefits that have resulted in the adoption of cloud-based delivery models for machine learning software solutions and services. Powered by data science, machine learning applications are trained accurately to complete tasks more quickly and accurately than humans. This FREE sample includes market data points, ranging from trend analyses to market estimates & forecasts. For instance, Uber uses algorithms to match drivers with riders. Increasing application of cloud-based solutions, technological development in artificial intelligence and cognitive computing market, and increase in market for prediction solutions are some of the factors to fuel the MLaaS market growth. Breast Pumps Market size worth $ 1.80 Billion, Globally, by 2030 Analytics And Automated Traffic Management. The technology helps organizations understand their customers at a deeper level. Image categorization is being used by companies such as Facebook, Twitter, and Google to keep undesired content from getting popular. Based on component type, the global machine learning market is segmented into software and services. Present your Market Report & findings with an inbuilt presentation feature saving over 70% of your time and resources for Investor, Sales & Marketing, R&D, and Product Development pitches. Oracle, IBM, Amazon Web Services, Inc., Microsoft, Fractal Analytics Inc., Google, Baidu, Inc., Intel Corporation, Hewlett Packard Enterprise Development LP, and Dell Inc. 10 hrs of free customization and expert consultation, Cloud and Web-based Application Programming Interface (APIs), In-depth research on specific segments/regions or companies, Additional company profiles depending on client specific needs, Report delivery in any format (PPT, PDF, Excel), 40 Wall St. 28th floor New York City, NY 10005 United States. Predictive maintenance segment is expected to register a steady revenue growth rate during the forecast period. 2022 MarketsandMarkets Research Private Ltd. All rights reserved, Published Date: Sep2017 | Report Code: TC 5578. In the verticals segment, the Banking, Financial Services, and Insurance (BFSI) vertical is expected to be the highest contributor, whereas the healthcare and life sciences vertical is projected to grow at highest CAGR during the forecast period. Competitive landscape of the global machine learning market is consolidated with a few key players operating on global and regional levels. Rigid business models also limit revenue growth of the market. The technology also supports continuous data assessment, which aids in enhancing correctness of financial models and regulations by recognizing and assessing abnormalities and subtleties. Published Date: Jun 2022 | Large enterprises segment accounted for the largest revenue share in 2021. The managed service is said to be growing faster, as it helps organizations to increase efficiency and save costs for managing on-demand machine learning services. For instance, on 4 November 2019, Microsoft launched Power Virtual agents, a service that supports building conversational chatbots using a no-code graphical user interface. The platform will make it easier to deploy and maintain Googles artificial intelligence models. North America is estimated to be the largest revenue-generating region. As the market for machine learning and AI services is growing fast which is followed by rapid technological advancements, there is an increase in demand for qualified staff. Without the speed and sophistication of machine learning and deep learning, processing and extracting insights from vast data volume created when humans and other environmental factors interact with technology would be very difficult. In the deployment mode segment, the cloud deployment mode is expected to hold the largest market share and grow at the highest CAGR during the forecast period in machine learning market. As a result of expanding digitalization and rising cyber threats to essential corporate information and data, rapid developmentand highly engaged SMEs have increased their use of ML solutions and services worldwide. Large enterprises have been heavily adopting machine learning to extract the required information from a large amount of data and forecast the outcome of various problems. JERSEY CITY, N.J., April 4, 2022 /PRNewswire/ -- Verified Market Research recently published a report, "Machine Learning As A Service Market" By Component (Services, Software Tools), By Application (Analytics And Automated Traffic Management, Fraud Detection, Predictive Maintenance), and By Geography. - 75) 10.1 Introduction 10.2 North America 10.2.1 By Vertical 10.2.1.1 Applications in BFSI 10.2.1.2 Applications in Healthcare and Life Sciences 10.2.1.3 Applications in Retail 10.2.1.4 Applications in Telecommunications 10.2.1.5 Applications in Government and Defense 10.2.1.6 Applications in Manufacturing 10.2.1.7 Applications in Energy and Utilities 10.2.2 By Organization Size 10.2.3 By Deployment Mode 10.2.4 By Service 10.3 Europe 10.3.1 By Vertical 10.3.1.1 Applications in BFSI 10.3.1.2 Applications in Healthcare and Life Sciences 10.3.1.3 Applications in Retail 10.3.1.4 Applications in Telecommunications 10.3.1.5 Applications in Government and Defense 10.3.1.6 Applications in Manufacturing 10.3.1.7 Applications in Energy and Utilities 10.3.2 By Organization Size 10.3.3 By Deployment Mode 10.3.4 By Service 10.4 APAC 10.4.1 By Vertical 10.4.1.1 Applications in BFSI 10.4.1.2 Applications in Healthcare and Life Sciences 10.4.1.3 Applications in Retail 10.4.1.4 Applications in Telecommunications 10.4.1.5 Applications in Government and Defense 10.4.1.6 Applications in Manufacturing 10.4.1.7 Applications in Energy and Utilities 10.4.2 By Organization Size 10.4.3 By Deployment Mode 10.4.4 By Service 10.5 MEA 10.5.1 By Vertical 10.5.1.1 Applications in BFSI 10.5.1.2 Applications in Healthcare and Life Sciences 10.5.1.3 Applications in Retail 10.5.1.4 Applications in Telecommunications 10.5.1.5 Applications in Government and Defense 10.5.1.6 Applications in Manufacturing 10.5.1.7 Applications in Energy and Utilities 10.5.2 By Organization Size 10.5.3 By Deployment Mode 10.5.4 By Service 10.6 Latin America 10.6.1 By Vertical 10.6.1.1 Applications in BFSI 10.6.1.2 Applications in Healthcare and Life Sciences 10.6.1.3 Applications in Retail 10.6.1.4 Applications in Telecommunications 10.6.1.5 Applications in Government and Defense 10.6.1.6 Applications in Manufacturing 10.6.1.7 Applications in Energy and Utilities 10.6.2 By Organization Size 10.6.3 By Deployment Mode 10.6.4 By Service, 11 Competitive Landscape (Page No. Some of the major companies included in the global machine learning market report are Oracle, IBM, Amazon Web Services, Inc., Microsoft, Fractal Analytics Inc., Google, Baidu, Inc., Intel Corporation, Hewlett Packard Enterprise Development LP, and Dell Inc. 2022 Reportsanddata. Rising demand for automated machine learning and increasing use of machine learning to improve cybersecurity are key factors expected to drive adoption of machine learning. The data is then used as part of an advanced analytics solution that gives businesses insight into cybersecurity concerns such as malware/ransomware attacks, malicious insider programs, and compromised and weak devices. Information & discussion on the relevant new products and services, Information & discussion on Market insights and Market information, Information & discussion on our events and conferences, Professional and social network (Linkedin, etc), Communication and Connectivity Technology, Coatings Adhesives Sealants and Elastomers, Automotive Electronics and Electrical Equipment, Construction Technology and Sustainability, Meet MutableAI; A Machine Learning Powered Python Code Assistant for Jupyter, Meet 'Tecton', a California-Based Startup Providing an Enterprise-Ready Feature Store to Make Machine Learning Accessible to Every Company, How 4 health systems are using AI, data analytics and machine learning, Machine-Learning Experts Can Earn up to $160,000 With These Skills, the power of machine learning to fight fraud, kevin durant joins $100 million pool to build the future of machine learning with his $200 million net worth, Machine Learning as a Service (MLaaS) Market, Analytical and Scientific Instrumentation, Machine learning/Artificial Intelligence (AI) solution and service providers, Cognitive and Artificial Intelligence (AI) technology experts/providers, Others (compliance management and credit underwriting), Applications in Healthcare and Life Sciences, Others (clinical trial research and epidemic outbreak prediction), Others (customer ROI and lifetime value, and customization management), Others (digital assistance/contact centers analytics and marketing campaign analytics), Others (sustainability and operational analytics), Others (root cause analysis and telematics), Others (customer specific pricing and renewable energy management), Others (Education, Agriculture, Media and Entertainment, and Education), Product matrix which gives a detailed comparison of product portfolio of each company, Further breakdown of the APAC machine learning market, Further breakdown of the North American market, Further breakdown of the Latin American market, Detailed analysis and profiling of additional market players (Up to 5).

Sitemap 3

machine learning market

machine learning marketwild spirit driftwood