NJ New Jersey, USA -- (SBWire) -- 01/13/2023 --The latest study released on the Global AI as Service Market by AMA Research evaluates market size, trend, and forecast to 2028. The AI as Service market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.
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Key Players in This Report Include:
IBM Corporation (United States), SAP SE (Germany), Microsoft Inc. (United States), Google (United States), Amazon Web Service, Inc (United States), Salesforce Inc. (United States), Intel Corporation (United States), Baidu, Inc (China), Fair Isaac Corporation (United States), SAS Institute (United States)
Definition:
The growing complexity of networking and computing infrastructures is already pushing the implementation of automation in networking and cloud computing management systems. AIaaS makes AI technologies available to the general public. Users may leverage the power of AI without writing a single line of code thanks to APIs and easy, low-code technologies. Bots, APIs, and machine learning applications are examples of AI services. There are several AI-as-a-Service applications, ranging from factory robot control systems to traffic monitoring in smart cities and autonomous network management in 5G. Each AI-aaS application has a set of quality and performance criteria that must be converted into QoS requirements that SDI resources must meet.
Market Opportunities:
Rising Implementation Across BFSI Industry
High Investment by Venture Capitalists and Private Equity Firms
Market Drivers:
Demand for AI-Powered Services in the Form of API and SDK
High Rate of Digitization Across Different Industry Verticals
Market Trends:
Increasing Number of AI Startups
Market Challenges:
Market Penetration Across New Regions and Fierce Competitive Pressure
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The Global AI as Service Market segments and Market Data Break Down are illuminated below:
by Application (Data Storage and Archiving, Modeler and Processing, Cloud and Web-Based Application Programming Interface (APIs), Others), Technology (Machine Learning (ML) and Deep Learning, Natural Language Processing (NLP)), End Use (Banking, Financial, and Insurance (BFSI), Healthcare and Life Sciences, Retail, Telecommunications, Government and defense, Manufacturing, Energy, Others), Service (Software Tools, Services (Professional, Managed)), Scale (Large Enterprises, Small and Medium-sized Enterprises (SMEs))
Global AI as Service market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to helps the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.
Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:
The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
North America (United States, Mexico & Canada)
South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).
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Objectives of the Report:
-To carefully analyze and forecast the size of the AI as Service market by value and volume.
-To estimate the market shares of major segments of the AI as Service
-To showcase the development of the AI as Service market in different parts of the world.
-To analyze and study micro-markets in terms of their contributions to the AI as Service market, their prospects, and individual growth trends.
-To offer precise and useful details about factors affecting the growth of the AI as Service
-To provide a meticulous assessment of crucial business strategies used by leading companies operating in the AI as Service market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.
Major highlights from Table of Contents:
AI as Service Market Study Coverage:
It includes major manufacturers, emerging player's growth story, and major business segments of AI as Service market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
AI as Service Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
AI as Service Market Production by Region AI as Service Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.
Key Points Covered in AI as Service Market Report:
AI as Service Overview, Definition and Classification Market drivers and barriers
AI as Service Market Competition by Manufacturers
AI as Service Capacity, Production, Revenue (Value) by Region (2023-2028)
AI as Service Supply (Production), Consumption, Export, Import by Region (2023-2028)
AI as Service Manufacturers Profiles/Analysis AI as Service Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.
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Key questions answered:
How feasible is AI as Service market for long-term investment?
What are influencing factors driving the demand for AI as Service near future?
What is the impact analysis of various factors in the Global AI as Service market growth?
What are the recent trends in the regional market and how successful they are?
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