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.
The Artificial Intelligence as a Service Market to Grow steadily at a CAGR of +48% during the forecast period.
There is a booming demand for Global Artificial Intelligence as a Service Market, accordingly numerous market specialists have bestowed time and energy to get to the core of this flourishing trend and find out if there’s a basis for this noteworthy market presentation. With the latest research information, analysts were able to understand the notion behind the Global Artificial Intelligence as a Service Market growth.
The current indicators as well as its the past essentials from the government and private sectors is used to estimate the position of the present-day market and to assign its place in the next seven years.
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Companies Profiled in this report includes, IBM, Google, Amazon Web Services, Microsoft, Salesforce, FICO, SAS Institute, Intel, SAP, IRIS AI, Bigml, H2o.AI, Absolutdata, Fuzzy.AI, Vital AI, Rainbird Technologies, Craft.AI, Sift Science, Mighty.AI, Cognitive Scale, Centurysoft, Yottamine Analytics, Datarobot, Meya.AI.
Among services, the software tools services segment is expected to hold the larger market size during the forecast period. Software tools play an important role in finding hidden patterns in data and data sets to predict outcomes from the large volume of data.
Various verticals such as retail, healthcare and life sciences, and Banking, Financial Services, and Insurance (BFSI) are integrating these tools with their existing business applications to analyze large volumes of data and generate data patterns. Moreover, software tools assist in formulating various business strategies and making business-critical decisions.
Compressive outline of Artificial Intelligence as a Service market depending on key factors and segmentations such as end users, applications, regions and products is elaborated. Estimated revenue and volume growth of Artificial Intelligence as a Service market over the mentioned forecast period is also explained in detail.
Former and current state of shares of the major key regions are mentioned such that the idea of the best investment region can be drawn out.
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The report provides an in-depth analysis of the Artificial Intelligence as a Service market across different industry verticals and regions. The Artificial Intelligence as a Service market is segmented across the Geographical regions namely North America, Europe, Asia Pacific and Rest of World.
The MDM market is dominated by the North American Region followed by Europe and APAC.
The Global Artificial Intelligence as a Service Market is gaining pace and businesses have started understanding the benefits of analytics in the present day highly dynamic business environment. The market has witnessed several important developments over the past few years, with mounting volumes of business data and the shift from traditional data analysis platforms to self-service business analytics being some of the most prominent ones.
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Table of Contents
Global Artificial Intelligence as a Service Market Research Report 2018
Chapter 1 Global Artificial Intelligence as a Service Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Market Forecast
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