Growth Of AI As A Service (AIaaS) Market

3 min read
Curated from readwrite.com →

Artificial intelligence as a service (AIaaS) refers to the use of pre-trained machine learning algorithms, robotic process automation (RPA) to natural language processing (NLP) in the cloud to automate business processes. In this respect, it is similar to software as a service (SaaS). However, AIaaS allows business users to access AI models without requiring advanced AI programming skills. 

This blog shares the anticipated growth figures of the AI business covering as per deployment model, end-user application, verticals, and geography. After having a view of what the future holds for you, businesses will be able to: 

Building the own AI solution for these different small services will therefore not make any sense for companies because they are all associated with substantial upfront costs and management, which is sometimes not easy for the new joiners. 

This is why businesses often look for AIaaS (Artificial Intelligent-as-a-Service).

Today, we will talk about AI as a service (AIaaS) market. What will be the growth rate and CAGR of the market? What are the major players in this market, and what are their business models? Why is the market growing? And we will answer many other such questions here. 

AIaaS stands for Artificial Intelligence-as-a-Service. It refers to the off-the-shelf artificial intelligence tools that help companies scale their production and implement AI techniques in their model only at a fraction of the in-house AI cost. 

As we can fetch the details from our discussions, AI is termed out to be a vast sector that encompasses multiple technologies, including NLP (Natural Language Processing), robotics, machine learning, and computer vision. 

The global AI-as-a-Service market was valued at USD 1.35 Bn in 2016 and is estimated to reach USD 43.1 Bn by 2028, at a CAGR of 46.9% during the forecast period. The base year considered for the study is 2017, while the forecast period is between 2018 and 2028. 

The compound annual growth rate (CAGR) forecast till 2028 of the different categories of the AI market are: 

The market has been bifurcated into cloud-based and on-premises deployment models based on the deployment model. 

In the global AI as a service market, the US is dominant in revenue and is expected to maintain its dominance in the coming years. In addition, the US is majorly a developed economy, which means that the large pool of small and medium enterprises (SMEs) in the country makes it an attractive market for AI as a service provider. 

There is a wide range of AI applications that businesses are looking to implement in their model, for example- chatbox, text analysis software, and various other services. These will help simplifythe tasks on which they do not have the expertise, diverting their time and efforts on more critical targets towards their goal achievements. 

AIaaS is the third-party provider for outsourcing AI services to organizations exploring different artificial intelligence sectors without investing vast amounts with higher risks. Big Companies like Microsoft, IBM, Google, and other market leaders have actively introduced AI services in their business models, increasing their reach and revenue without much time investments. Furthermore, high investments in the adoption of technological advancement and artificial intelligence have led to an increase in the demands for advanced analytical systems in the market, contributing to the growth of AIaaS Market Statistics.

Continue Reading

Enjoyed this summary? Read the complete article at the source:

Continue at readwrite.com →

Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.