Artificial Intelligence based Personalization Market

Growing rate of mass marketing is driving the market growth

Market CAGR for artificial intelligence based personalized is driven by the rising rate of mass marketing. The advertising of a single good or service to all final customers, irrespective of their preferences and purchase patterns, is known as mass marketing. Email, direct mail, and push notifications on mobile devices are all options for notifying recipients. There is a high order rate in mass marketing. When they receive too many tokens, a significant portion of email recipients unsubscribe from the communications. Message configuration is required due to client behavior.

The necessity for message personalization and the high mass marketing subscription rate drive the demand for AI-based message personalization.

Additionally, the market for based personalization is expanding due to rising customer data creation and increased online activity utilization. As a result, businesses have greater options to use the extra data and provide their customers with more individualized experiences. By lowering the need for human labor and facilitating more focused marketing campaigns, personalization can help businesses save money.

People's lives are becoming easier as a result of the development of machine learning and artificial intelligence, as well as technological advancements. Artificial intelligence has advanced to the point that it can be integrated with the cloud and the Internet of Things (IoT), where improved connectivity between various devices enables machines to comprehend human requirements better. As the need for AI has grown in recent years for a variety of applications, investments in the technology have tripled.

The availability of information across multiple industries is growing due to investments and the increasing usage of artificial intelligence, which necessitates the development of data analysis techniques. An algorithm that learns about the habits, purchasing patterns, and behavior of customers is used in machine learning to recommend ways to increase customer happiness. 

As a result, it is anticipated that throughout the projection period, demand for artificial intelligence based personalization will increase due to the rising rate of mass marketing. Thus driving the artificial intelligence-based Personalization market revenue.

The Global Artificial Intelligence Based Personalization Market Industry experiences a surge in demand for personalized experiences across various sectors, including retail, healthcare, and entertainment. Consumers increasingly expect tailored interactions, which drives businesses to adopt AI technologies that analyze user data and preferences. For instance, e-commerce platforms utilize AI algorithms to recommend products based on browsing history, enhancing customer satisfaction and loyalty. This trend is reflected in the market's projected growth, with a valuation of 487 USD Billion in 2024, indicating a robust shift towards personalization as a core business strategy.

By region, the study provides market insights into North America, Europe, Asia-Pacific, and Rest of the World. The North American Artificial Intelligence Personalization market area will dominate this market, owing to the occurrence of big data and AI technologies in the region. In addition, the various retailers and e-commerce companies use personalization solutions to develop their customer experience, which will boost market growth in this region.

Further, the major countries studied in the market report are The US, Canada, Germany, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

Figure 3: ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SHARE BY REGION 2022 (USD Billion)

Source: Secondary Research, Primary Research, Market Research Future Database and Analyst Review

Europe Artificial Intelligence Based Personalization market accounts for the second-largest market share due to the increasing investment in digitization. Further, the German Artificial Intelligence Based Personalization market held the largest market share, and the UK Artificial Intelligence Based Personalization market was the fastest-growing market in the European region

The Asia-Pacific Artificial Intelligence Based Personalization Market is expected to grow at the fastest CAGR from 2023 to 2032 due to a high customer base and a rapidly-growing economy. Moreover, China's Artificial Intelligence Based Personalization market held the largest market share, and the Indian Artificial Intelligence Based Personalization market was the fastest growing market in the Asia-Pacific region.

Leading market players are investing heavily in research and development in order to expand their product lines, which will help the Artificial Intelligence Based Personalization market, grow even more. Market participants are also undertaking a variety of strategic activities to expand their global footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, Artificial Intelligence Based Personalization industry must offer cost-effective items.

Manufacturing locally to minimize operational costs is one of the key business tactics used by manufacturers in the global Artificial Intelligence Based Personalization industry to benefit clients and increase the market sector. In recent years, the Artificial Intelligence Based Personalization industry has offered some of the most significant advantages to customers. Major players in the Artificial Intelligence Based Personalization market, including Bounteous, Inc., Adobe Systems Inc., Accenture, Copyright Blueshift Labs, Inc., H2O.ai., Infinite Analytics, Amazon.com, Inc., Crownpeak Technology, Inc., Apple Inc., Alphabet Inc., and others, are attempting to increase market demand by investing in research and development operations.

AMD is the global leader in high-performance and adaptive computing, powering the products and services that help solve the world's most pressing problems. Company innovations improve embedded, PC, gaming, and data center industries going forward. When AMD was first established in 1969 as a startup in Silicon Valley, it had dozens of workers who were enthusiastic about developing cutting-edge semiconductor devices. AMD has developed into a multinational corporation that is defining the current computing standard, achieving numerous firsts for the industry and significant technological advancements along the way.

In June 2023, with the launch of the AMD Instinct MI 300 Series accelerator family, which features a first look at the AMD Instinct MI300X accelerator, AMD revealed its AI Platform plan. The accelerator is designed to support workloads in generative AI by training and inferring huge language models.

Clarifai is a self-contained artificial intelligence firm specializing in computer vision, natural language processing, and audio recognition. Clarifai, one of the earliest deep learning platforms, was established in 2013 and offers an AI platform for unstructured text, audio, video, and image data. With regard to data exploration, data labeling, model training, assessment, and interference concerning picture, video, text, and audio data, its platform facilitates the entire AI lifecycles. Washington, DC, based company with workers across the US, Canada, Argentina, Estonia, and India Clarifai automatically recognizes and analyses pictures, videos, text, and audio using deep neural networks and machine learning.

Users can incorporate AI technology into their products using on-premise solutions, mobile SDKs, and APIs, thanks to Clarifai. In July 2022, According to Clarifai, A free service called "Clarifai Community" will be available for everyone to share, build, and utilize the World's AI. Additionally, it revealed the creation of the "AI Lake" product category, which gathers and centralizes all of an organization's AI resources and provides mechanisms for cross-organization cooperation.