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Verticals in the AI as a service market include Banking, Financial Services, and Insurance (BFSI), healthcare and life sciences, retail, telecommunications, government and defense, manufacturing, energy, and others (Education, Agriculture, Transportation, and Media and Entertainment). AI as a service helps various verticals easily integrate AI capabilities with their business applications. Moreover, by leveraging the benefits of AI as a service, verticals can focus more on the enhancement of their business processes and formulation of growth strategies, rather than worrying about costs related to the purchase and maintenance of AI-powered platforms and tools.Request a Sample of this Report@ https://www.orbisresearch.com/contacts/request-sample/2499194
The growing demand for AI-powered services in the form of Application Programming Interface (API) and Software Development Kit (SDK) and increasing number of innovative startups are some of the major factors that are driving the growth of the AI as a service market. The demand for intelligent business processes is growing across verticals to enhance the overall experience that is delivered to their customers. Organizations are therefore focusing on integrating AI capabilities with their existing business applications. However, the process of building APIs is time- consuming. Hence, various verticals are focused toward the adoption of easily available AI-powered APIs and machine learning models to solve their business problems.
In 2018, the global Artificial Intelligence Service market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
This report focuses on the global Artificial Intelligence Service status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Artificial Intelligence Service development in United States, Europe and China.
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The key players covered in this study
• International Business Machines
• SAP
• Amazon
• Salesforce
• Intel
• Baidu
• Fair Isaac Corporation(FICO)
• SAS Institute(US)
Market segment by Type, the product can be split into
• Software Tools
• Services
Market segment by Application, split into
• BFSI
• Telecommunications and IT
• Retail and E-Commerce
• Government and Defense
• Healthcare
• Manufacturing
• Energy and Utilities
• Construction and Engineering
• Others
Market segment by Regions/Countries, this report covers
• United States
• Europe
• China
• Japan
• Southeast Asia
• India
• Central & South America
The study objectives of this report are:
To analyze global Artificial Intelligence Service status, future forecast, growth opportunity, key market and key players.
To present the Artificial Intelligence Service development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Artificial Intelligence Service are as follows:
• History Year: 2014-2018
• Base Year: 2018
• Estimated Year: 2019
• Forecast Year 2019 to 2025
Major Point from Table of Content:
Chapter One: Report Overview
Chapter Two: Global Growth Trends
Chapter Three: Market Share by Key Players
Chapter Four: Breakdown Data by Type and Application
Chapter Five: United States
Chapter Six: Europe
Chapter Seven: China
Chapter Eight: Japan
Chapter Nine: Southeast Asia
Chapter Ten: India
Chapter Eleven: Central & South America
Chapter Twelve: International Players Profiles
12.1 International Business Machines
12.2 SAP
12.3 Google
12.4 Amazon
12.5 Salesforce
12.6 Intel
12.7 Baidu
12.8 Fair Isaac Corporation(FICO)
12.9 SAS Institute(US)
Chapter Thirteen: Market Forecast 2019-2025
Chapter Fourteen: Analyst's Viewpoints/Conclusions
Chapter Fifteen: Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
12.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Disclaimer
15.3 Author Details
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