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Artificial Intelligence as a Service Report 2018-2023: Global Market to Reach $10.88 Billion, Driven by Growing Number of Innovative StartupsDUBLIN, May 22, 2018 /PRNewswire/ -- The "Artificial Intelligence as a Service Market by Service Type (Software Tools and Services), Technology (Machine Learning and Deep Learning, and Natural Language Processing), Organization Size, Vertical, and Region - Global Forecast 2023" report has been added to ResearchAndMarkets.com's offering. The global Artificial Intelligence as a service market is expected to grow from USD 1.52 Billion in 2018 to USD 10.88 Billion by 2023, at a Compound Annual Growth Rate (CAGR) of 48.2% during the forecast period. The major factors that are expected to drive the AI as a service market are the growing demand for AI-powered services in the form of Application Programming Interface (API) and Software Development Kit (SDK) and growing number of innovative startups. The other verticals such as retail, telecommunication, government and defense, manufacturing, energy, and others (Agriculture, Media and Entertainment, and Transportation) are expected to contribute significantly to the growth of the AI as a Service market, due to the increasing need for real-time data, reducing infrastructure costs, accelerating time to market, and improving business process time. Key Topics Covered 1 Introduction 5.1.4 Basel 5.2 Market Dynamics 5.2.1 Drivers 5.2.1.1 Growing Demand for AI-Powered Services in the Form of API and SDK 5.2.1.2 Growing Number of Innovative Startups 5.2.2 Restraints 5.2.2.1 Lack of Skilled Employees 5.2.3 Opportunities 5.2.3.1 Increasing Need for Intelligent Business Applications 5.2.3.2 Growing Demand for AI Service Integrators 5.2.4 Challenges 5.2.4.1 Sensitivity Involved With Security of Data 5.3 Use Cases 5.3.1 Use Case: AI as a Service Solution to Enhance Customer Experience (Retail and Consumer Goods) 5.3.2 Use Case: AI as a Service Solution to Achieve Efficiency Across Its Business Operations (Finance) 5.3.3 Use Case: AI as a Service Solution to Enhance Customer Experience (Finance) 6 AI as a Service Market, By Technology 6.1 Introduction 6.2 Machine Learning and Deep Learning 6.3 Natural Language Processing 7 Artificial Intelligence as a Service Market, By Organization Size 7.1 Introduction 7.1.1 Small and Medium-Sized Enterprises 7.1.2 Large Enterprises 8 AI as a Service Market, By Service Type 8.1 Introduction 8.2 Software Tools 8.2.1 Data Storage and Archiving 8.2.2 Modeler and Processing 8.2.3 Cloud and Web-Based Application Programming Interface 8.2.4 Others 8.3 Services 8.3.1 Professional Services 8.3.2 Managed Services 9 Artificial Intelligence as a Service Market, By Vertical 9.1 Introduction 9.2 Banking, Financial Services, and Insurance 9.2.1 Fraud and Risk Management 9.2.2 Customer Segmentation 9.2.3 Sales and Marketing Campaign Management 9.2.4 Investment Prediction 9.2.5 Digital Assistance 9.2.6 Others 9.3 Healthcare and Life Sciences 9.3.1 Disease Identification and Diagnosis 9.3.2 Image Analytics 9.3.3 Personalized Treatment 9.3.4 Drug Discovery/Manufacturing 9.3.5 Others 9.4 Retail 9.4.1 Recommendation Engines 9.4.2 Upselling and Cross-Channel Marketing 9.4.3 Segmentation and Targeting 9.4.4 Others 9.5 Telecommunication 9.6 Customer Analytics 9.7 Network Security 9.8 Network Optimization 9.9 Others 9.10 Government and Defense 9.10.1 Autonomous and Defense Systems 9.10.2 Threat Intelligence 9.10.3 Others 9.11 Manufacturing 9.11.1 Predictive Maintenance 9.11.2 Revenue Estimation 9.11.3 Demand Forecasting 9.11.4 Supply Chain Management 9.11.5 Others 9.12 Energy 9.12.1 Power/Energy Usage Analytics 9.12.2 Seismic Data Processing 9.12.3 Carbon Emission 9.12.4 Smart Grid Management 9.12.5 Others 9.13 Others 10 AI as a Service Market, By Region 10.1 Introduction 10.2 North America 10.2.1 By Technology 10.2.2 By Service Type 10.2.2.1 By Software Tool 10.2.2.2 By Service 10.2.3 By Organization Size 10.2.4 By Vertical 10.2.4.1 AI as a Service Application Trends in BFSI 10.2.4.2 AI as a Service Application Trends in Healthcare and Life Sciences 10.2.4.3 AI as a Service Application Trends in Retail 10.2.4.4 AI as a Service Application Trends in Telecommunication 10.2.4.5 AI as a Service Application Trends in Government and Defense 10.2.4.6 AI as a Service Application Trends in Manufacturing 10.2.4.7 AI as a Service Application Trends in Energy and Utilities 10.3 Europe 10.3.1 By Technology 10.3.2 By Service Type 10.3.2.1 By Software Tool 10.3.2.2 By Service 10.3.3 By Organization Size 10.3.4 By Vertical 10.3.4.1 AI as a Service Application Trends in BFSI 10.3.4.2 AI as a Service Application Trends in Healthcare and Life Sciences 10.3.4.3 AI as a Service Application Trends in Retail 10.3.4.4 AI as a Service Application Trends in Telecommunication 10.3.4.5 AI as a Service Application Trends in Government and Defense 10.3.4.6 AI as a Service Application Trends in Manufacturing 10.3.4.7 AI as a Service Application Trends in Energy and Utilities 10.4 Asia Pacific 10.4.1 By Technology 10.4.2 By Service Type 10.4.2.1 By Software Tool 10.4.2.2 By Service 10.4.3 By Organization Size 10.4.4 By Vertical 10.4.4.1 AI as a Service Application Trends in BFSI 10.4.4.2 AI as a Service Application Trends in Healthcare and Life Sciences 10.4.4.3 AI as a Service Application Trends in Retail 10.4.4.4 AI as a Service Application Trends in Telecommunication 10.4.4.5 AI as a Service Application Trends in Government and Defense 10.4.4.6 AI as a Service Application Trends in Manufacturing 10.4.4.7 AI as a Service Application Trends in Energy and Utilities 10.5 Middle East and Africa 10.5.1 By Technology 10.5.2 By Service Type 10.5.2.1 By Software Tool 10.5.2.2 By Service 10.5.3 By Organization Size 10.5.4 By Vertical 10.5.4.1 AI as a Service Application Trends in BFSI 10.5.4.2 AI as a Service Application Trends in Healthcare and Life Sciences 10.5.4.3 AI as a Service Application Trends in Retail 10.5.4.4 AI as a Service Application Trends in Telecommunication 10.5.4.5 AI as a Service Application Trends in Government and Defense 10.5.4.6 AI as a Service Application Trends in Manufacturing 10.5.4.7 AI as a Service Application Trends in Energy and Utilities 10.6 Latin America 10.6.1 By Technology 10.6.2 By Service Type 10.6.2.1 By Software Tool 10.6.2.2 By Service 10.6.3 By Organization Size 10.6.4 By Vertical 10.6.4.1 AI as a Service Application Trends in BFSI 10.6.4.2 AI as a Service Application Trends in Healthcare and Life Sciences 10.6.4.3 AI as a Service Application Trends in Retail 10.6.4.4 AI as a Service Application Trends in Telecommunication 10.6.4.5 AI as a Service Application Trends in Government and Defense 10.6.4.6 AI as a Service Application Trends in Manufacturing 10.6.4.7 AI as a Service Application Trends in Energy and Utilities 11 Competitive Landscape 11.1 Overview 11.2 Top Players Operating in the AI as Service Market 11.3 Competitive Scenario 11.3.1 New Product Launches and Product Enhancements 11.3.2 Partnerships, Collaborations, and Agreements 11.3.3 Mergers and Acquisitions 11.3.4 Business Expansions, 2016 12 Company Profiles 12.1 Introduction 12.2 IBM 12.3 Google 12.4 Amazon Web Services 12.5 Microsoft 12.6 Salesforce 12.7 FICO 12.8 SAS Institute 12.9 Baidu 12.10 Intel 12.11 SAP 12.12 IRIS AI 12.13 Bigml 12.14 H2o.AI 12.15 Absolutdata 12.16 Fuzzy.AI 12.17 Vital AI 12.18 Rainbird Technologies 12.19 Craft.AI 12.20 Sift Science 12.21 Mighty.AI 12.22 Cognitive Scale 12.23 Centurysoft 12.24 Yottamine Analytics 12.25 Datarobot 12.26 Meya.AI For more information about this report visit https://www.researchandmarkets.com/research/q225jl/artificial?w=5 Media Contact: Research and Markets View original content:http://www.prnewswire.com/news-releases/artificial-intelligence-as-a-service-report-2018-2023-global-market-to-reach-10-88-billion-driven-by-growing-number-of-innovative-startups-300652602.html SOURCE Research and Markets |