With advancements in data science and artificial intelligence, the performance of machine learning has accelerated at a rapid pace. Companies are now identifying the potential this technology has, and therefore, the adoption rate of the same is expected to increase over the forecast period.

- Artificial intelligence has emerged as an enabler for such solutions, and ML consequently plays a critical role.

- MLaaS model is expected to dominate the market, with users having an option to choose from a wide variety of solutions that are focused on different business needs.

- The increasing rate of adoption for IoT and automation systems in industries is expected to drive the growth of the adoption rate for MLaaS. Industrial automation already has over a billion connected devices deployed. Owing to IoT, smart and connected technologies have increased the pace of creating vast amounts of data, which can be analyzed to gain profitable insights.

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Key Market Trends

Retail Sector is Expected to hold Major Market Share

- The retail industry is booming in the digital space. The digital revolution was started by prominent companies, like Amazon and eBay. The popularity of digital business models has created challenges for the traditional retail business model. However, it also has massive potential for retailers and consumers alike.

- Retail and consumer goods companies are witnessing the applicability of machine learning (ML) in driving improvements in customer service and operational efficiency. For instance, the Azure cloud is helping retail and consumer brands to improve the customer's shopping experience by ensuring that shelves are stocked and the products are always available when, where, and how the consumer wants to shop.

North America is Expected to Hold Largest Market Share

- North America is driven by swift market penetration and the presence of large companies working on technology that influences the growth of the market in the region.

- North America commands machine learning services over other key regions, on account of rapid integration of machine learning as a service with big data, Internet of Things (IoT), and other advanced technologies. The region has the headquarters of some of the top companies for machine learning as a service, which is an advantage.

- Companies based in North America, for instance, news organizations, such as the Associated Press, are increasingly publishing new articles and stories written by software, instead of journalists. At the same time, Google is training its AI software, DeepMind, to detect two common types of eye diseases. Microsoft has been using AI for about a decade to improve its online search engine.

Competitive Landscape

The machine learning as a service market is highly competitive and consists of several major players. In terms of market share, few major players, currently dominate the market. However, with the advancement of Artificial Intelligence, many companies are increasing their market presence by securing new contracts, by tapping new markets.

- April 2019 - Microsoft developed a platform that uses machine teaching to help deep reinforcement learning algorithms tackle real-world problems. Microsoft scientists and product developers have pioneered a complementary approach called machine teaching. This relies on people’s expertise to break a problem into easier tasks and give machine learning models important clues about how to find a solution faster.

- November 2018 - Amazon announced the expansion of its machine learning services to healthcare organizations. Amazon Translate, Amazon Comprehend, and Amazon Transcribe are now HIPAA compliant.

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