Artificial intelligence as a service is provided by the third-party as an outsourced service. It facilitates the organizations and people for exploring various kinds of avenues for different purposes with less investment for initial installation and consists of low risk. Most smart vendors, whether professional service firms, software firms, or consultants collaborate or offer with firms which can provide a complete suite of services to support a large-scale artificial intelligence solution.
Some of the factors such as the rising adoption of AI and technological advancement for workflow optimization, the increasing number of innovative startups, and growing demand for enhancing consumer experience are propelling the growth of the artificial intelligence as a service market. Moreover, the increased application ranges and growth in demand for IoT are further expected to offer significant opportunities for artificial intelligence as a service market to grow. However, risks allied with data breaches and hacks are the major challenges that are expected to hamper the growth of artificial intelligence as a service market.
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Some of the key players influencing the Artificial intelligence as a service market are:
Microsoft Corporation, Google LLC, Amazon Web Services Inc., IBM Corporation, Fujitsu Ltd., DATAIKU, Salesforce.com Inc., SAS Institute Inc., SAP SE, and Intel Corporation among others.
Increased penetration of cloud-based solutions and growth associated with the artificial intelligence and cognitive computing market are the major factors that boost the growth of the AIaaS market. In addition, growth in IT expenditure in emerging nations and technological advancement for workflow optimization fuel the demand for advanced analytical systems driving the artificial intelligence as a service market. However, limited availability of trained professionals is expected to impede the market growth. Furthermore, increase in application areas and growth of IoT are the factors expected to create lucrative growth opportunities for the artificial intelligence as a service market.
The Global Artificial Intelligence as a Service Market Analysis to 2027 is a specialized and in-depth study of the artificial intelligence as a service market with a focus on the global market trend. The report aims to provide an overview of the global artificial intelligence as a service market with detailed market segmentation by service, technology, industry vertical, and geography. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the artificial intelligence as a service market.
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global artificial intelligence as a service market based on the service, technology, and industry vertical.
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Segment by Service:
Professional Services and Managed Services
Segment by Technology:
Machine Learning (ML) and Deep Learning and Natural Language Processing (NLP)
Segment by Industry Vertical:
Banking, Financial Services, and Insurance, Government and Defence, Telecommunication, Manufacturing , Healthcare & Life Science, Retail, and Others
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global Artificial Intelligence as a Service market based on product and application. It also provides market size and forecast till 2027 for overall Artificial Intelligence as a Service market with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM), which is later sub-segmented by respective countries and segments.
Key Benefits of Buying this Research Study:
1. The key findings and recommendations highlight crucial progressive industry trends in the Artificial intelligence as a service Market, thereby allowing players across the value chain to develop effective long term strategies
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3. Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it
4. Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to client products, segmentation, pricing and distribution