AI as Service Market Scope
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.
Attributes | Details |
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Study Period | 2018-2028 |
Base Year | 2022 |
Unit | Value (USD Million) |
Key Companies Profiled | 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) and SAS Institute (United States) |
CAGR | % |
The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global AI as Service market throughout the predicted period.
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) and SAS Institute (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are BigML Inc. (United States), MonkeyLearn (United States), ServiceNow (United States) and Hewlett Packard Enterprise (United States).
About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.
Segmentation Overview
The study have segmented the market of Global AI as Service market by Type , by Application (Data Storage and Archiving, Modeler and Processing, Cloud and Web-Based Application Programming Interface (APIs) and Others) and Region with country level break-up.
On the basis of geography, the market of AI as Service has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).
region held largest market share in the year 2022.
Market Leaders and their expansionary development strategies
On 30th November, 2020 - ServiceNow Acquired Element AI (Leading Artificial Intelligence (AI) Company). The Agreement Brings Element AI's World-Class Scientists and Practitioners with Experience Applying Modern AI to Text and Language, Chat, Pictures, Search, Question Response, And Summarization to The Table.
On 18th May, 2021 - Google Launched its “Vertex AI”, Fully Managed Cloud AI Service. In Comparison to Competing Platforms, The New Platform Is Aimed to Assist Enterprises Accelerate the Deployment and Maintenance of AI Models by Requiring Roughly 80% Less Lines of Code to Train a Model.
Influencing Trend:
Increasing Number of AI Startups
Market Growth Drivers:
High Rate of Digitization Across Different Industry Verticals and Demand for AI-Powered Services in the Form of API and SDK
Challenges:
Market Penetration Across New Regions and Fierce Competitive Pressure
Restraints:
Lack of Trained Professionals
Opportunities:
High Investment by Venture Capitalists and Private Equity Firms and Rising Implementation Across BFSI Industry
Key Target Audience
AI as Service Providers, New Entrants and Investors, Venture Capitalists, Government Bodies, Corporate Entities, Government and Private Research Organizations and Others