Market Overview:
Artificial Intelligence in Platform as a Service is a third-party provider of artificial intelligence (AI) outsourcing. Individuals and businesses can experiment with AI for a variety of purposes with minimal initial investment and risk. Experimentation allows for the sampling of multiple public cloud platforms to test various machine learning algorithms.Various AI provider platforms provide a variety of machine learning and AI styles. Because organisations must evaluate features and pricing to see what works best for them, these variations can be more or less suited to an organization's AI needs. Cloud AI service providers can provide specialized hardware for certain AI tasks, such as GPU-based processing for intensive workloads. Purchasing the necessary hardware and software to begin on-premise cloud AI is expensive. When combined with staffing and maintenance costs, as well as hardware changes for different tasks, AIaaS becomes prohibitively expensive for many organisations.
Attributes | Details |
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Study Period | 2017-2027 |
Base Year | 2021 |
Forecast Period | 2022-2027 |
Historical Period | 2017-2021 |
Unit | Value (USD Million) |
Key Companies Profiled | AWS (United States), IBM (United States) and Microsoft (United States) |
Customization Scope | Avail customization with purchase of this report. Add or modify country, region or narrow down segments in the final scope subject to feasibility |
AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics of major and emerging geographies across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.
Key Players of Artificial Intelligence in Platform as a Service Market Study:
AWS (United States), IBM (United States) and Microsoft (United States)
Artificial Intelligence in Platform as a Service Market Segment Analysis
Scope | Sub-Segments |
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Type | Machine Learning, Computer Vision, Natural Language Processing and Artificial Neural Network |
Vertical | BFSI,Healthcare,Retail & E-commerce,IT & Telecom,Media & Entertainment,Transportation & Logistics,Others |
Enterprise Size | Small & Medium Enterprises,Large Enterprises |
Artificial Intelligence in Platform as a Service Market Changing Dynamics
Attributes | Details |
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Growth Drivers | - Growing Popularity of Artificial Intelligence to Process Large Amount of Data
- Increased Focus on Integration of Artificial Intelligence in the Cloud Computing
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Influencing Trends | - High Investment in Research in Order to Develop Artificial Intelligence System and Make it Technological Reality
- Emerging Trend for Natural Language Processing and Neural Network
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Restraints | - Data Privacy Concern and Poor Internet Connectivity
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Road Blocks / Challenges | - Accuracy Problems and Malfunctions
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Gaps & Opportunities | - Operationalization of AI Platforms Due to Surging Demand of AI for Business Transformation
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Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Artificial Intelligence in Platform as a Service market.
In order to reach an exhaustive list of functional and relevant players, various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep into important geographies by players, and a thorough validation test is conducted to reach the most relevant players for survey in Artificial Intelligence in Platform as a Service market.
Identification of total players or companies operating in the global market which is further concentrated to fewer or most impacting players which are considered under the reports scope. In order to make a priority list sorting is done based on revenue generated based on the latest reporting with the help of paid databases such as Factiva, Bloomberg, etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes New Entrants/Investors, Analysts and Strategic Business Planners, Artificial Intelligence in Platform as a Service Providers, Venture Capitalists and Private Equity Firms, Government Regulatory and Research Organizations, End-User Industries and Others.
This helps us to gather the data for the players revenue, operating cycle and expense, profit along with product or service growth, etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that include Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, Annual reports, press releases etc.