Artificial Intelligence (AI) in Marketing Market is predicted to reach USD 77.40 billion at a CAGR of 24.50% during the forecast period

Market Research Future (MRFR) has published a cooked research report on the “Global Artificial Intelligence (AI) in Marketing Market” that contains information from 2024 to 2032. The Artificial Intelligence (AI) in Marketing market is estimated to register a CAGR of 24.50% during the forecast period of 2024 to 2032.

MRFR recognizes the following companies as the key players in the global Artificial Intelligence (AI) in Marketing market— IBM Corporation, Google, Amazon.com, Inc., Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Micron Technology, Inc., Salesforce.com, inc., Twitter, Inc., Baidu, Inc., Samsung, Albert Technologies, Oracle Corporation, H2O.ai., and O360.

AI in Marketing Market Highlights

The global Artificial Intelligence (AI) in Marketing market is accounted to register a CAGR of 24.50% during the forecast period and is estimated to reach USD 79.2 billion by 2032.

The artificial intelligence (AI) in marketing market involves the integration of AI technologies like machine learning and data analytics into marketing strategies and processes. This enhances customer insights, personalization, automation, and decision-making, leading to more effective and targeted marketing campaigns. The market's growth is propelled by the quest for data-driven insights and improved customer engagement in the digital age.

Segment Analysis

The global Artificial Intelligence (AI) in Marketing market has been segmented based on Type, Technology, Application and Industry Vertical.

On the basis of Type, the market is segmented into On-Cloud, and On-Premise. Artificial intelligence (AI)-based marketing solutions that are hosted on cloud servers and accessed online are referred to as being in the "On-Cloud" segment of the market. When compared to on-premise AI solutions, this market sector has advantages including scalability, cheaper upfront costs, and simpler deployment.

Based on Technology, the global Artificial Intelligence (AI) in Marketing market has been segmented into Machine Learning, Adaptive Learning, Natural Language Processing, Natural Language Generation, Speech Recognition, Advanced Analytics and Computer Vision. Natural Language Processing (NLP) is expanding significantly and is anticipated to continue expanding during the projection period, according to the Technology section, as a result of rising demand for intelligent systems and rising investment in these fields.

Based on Application, the global Artificial Intelligence (AI) in Marketing market has been segmented into Sales Forecasting, Content Curation, Virtual Assistance, Predictive Analytics, Ad Optimization, Dynamic Pricing, and Others. The market for virtual assistance, which accounted for a sizeable portion of the overall market in 2021, is predicted to grow at the greatest CAGR. Natural language processing (NLP), computer vision, and machine learning techniques are used by virtual assistance, which can take the shape of chatbots, voice assistants, or digital avatars, to comprehend and respond to user requests.

Based on Industry Vertical, the global Artificial Intelligence (AI) in Marketing market has been segmented into BFSI, Retail & E-Commerce, Government, IT & Telecommunication, Healthcare, Commercial Organizations, Others. The market for AI in marketing is significantly impacted by the IT and telecommunications sector. The sector uses AI technologies to improve its own marketing initiatives and also provides other firms with AI-powered marketing solutions.

Regional Analysis

The global Artificial Intelligence (AI) in Marketing market, based on region, has been divided into the North America, Europe, Asia-Pacific, and Rest of the World. North America consists of US and Canada. The Europe Artificial Intelligence (AI) in Marketing market comprises of Germany, France, the UK, Italy, Spain, and the rest of Europe. The Artificial Intelligence (AI) in Marketing market in Asia-Pacific has been segmented into China, India, Japan, Australia, South Korea, and the rest of Asia-Pacific. The Rest of the World Artificial Intelligence (AI) in Marketing market comprises of Middle East, Africa, and Latin America.

The Asia-Pacific Artificial Intelligence (AI) in Marketing Market dominated this market in 2022 The market for AI in marketing is growing significantly in the Asia Pacific area. Rapid technological development and digitalization, the expansion of the e-commerce and online retail sectors, rising smartphone and internet penetration, rising investment in artificial intelligence (AI) and related fields, and increasing business awareness and adoption of AI-powered marketing solutions are some of the key factors influencing growth in the region. China, India, Japan, South Korea, and Australia are among the nations in the Asia Pacific area that have experienced considerable market growth for AI in marketing. In particular, China's AI business is expanding quickly, and it is anticipated that in the near future, China will take the lead in AI technology.

Additionally, In the following years, North America's artificial intelligence in marketing industry is anticipated to grow favourably. The area's several well-known IT firms are aware of the promising possibilities presented by AI in marketing.

Key Findings of the Study

• The global Artificial Intelligence (AI) in Marketing market is expected to reach USD 79.2 billion by 2032, at a CAGR of 24.50% during the forecast period.


• The Asia-Pacific Artificial Intelligence (AI) in Marketing Market dominated this market in 2023 The market for AI in marketing is growing significantly in the Asia Pacific area.


• Based on Application, The market for virtual assistance, which accounted for a sizeable portion of the overall market in 2021, is predicted to grow at the greatest CAGR.


• IBM Corporation, Google, Amazon.com, Inc., Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Micron Technology, Inc., Salesforce.com, inc., Twitter, Inc., Baidu, Inc., Samsung, Albert Technologies, Oracle Corporation, H2O.ai., and O360.