Global AI In Marketing Market Report

The global demand for AI In Marketing Market is presumed to reach the market size of nearly USD 163.98 Billion by 2032 from USD 21.79 Billion in 2023 with a CAGR of 25.14% under the study period 2024-2032.

AI in marketing is the application of AI technologies and techniques to enhance and automate various aspects of marketing processes and strategies. Artificial intelligence leverages advanced algorithms, machine learning, and data analytics to analyze large datasets, derive insights, and make data-driven decisions, ultimately optimizing marketing campaigns and improving overall efficiency.

Market Dynamics

The AI in marketing market is propelled by several factors responding to the evolving landscape of digital marketing and consumer expectations. The surge in data volume and complexity necessitates AI-driven analytics for efficient data processing and decision-making. The demand for personalized experiences drives AI adoption, allowing marketers to tailor content and advertisements based on individual preferences. Automation assists in streamlining marketing workflows, saving time, and improving accuracy. Predictive analytics capabilities address the need to forecast trends, customer behaviors, and market dynamics, providing a competitive edge. The popularity of chatbots and virtual assistants enhances customer interactions, while e-commerce growth fuels AI applications in personalized recommendations and dynamic pricing. Social media management benefits from AI tools, optimizing content planning and sentiment analysis. Voice search optimization, sales, and marketing alignment, cost-effective strategies, and advancements in AI technologies contribute to the market's dynamic growth. As businesses strive for innovation and competitive edge, AI in marketing continues to shape the future of data-driven and efficient marketing strategies.

The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of AI In Marketing. The growth and trends of AI In Marketing industry provide a holistic approach to this study.

Market Segmentation

This section of the AI In Marketing market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component

• Software
• Services

By Application

• Search Engine Marketing
• Social Media Advertising
• Virtual Assistant
• Sales & Marketing Automation
• Analytics Platform
• Content Curation
• Others

By Technology

• Natural Language Processing
• Machine Learning
• Computer Vision
• Others

By Industry Vertical

• Consumer Goods
• BFSI
• Media & Entertainment
• IT & Telecommunications
• Retail
• Others

Regional Analysis

This section covers the regional outlook, which accentuates current and future demand for the AI In Marketing market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

Global AI In Marketing Market Share by Region (Representative Graph)

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the AI In Marketing market include NVIDIA Corporation, Google, Microsoft, IBM, Salesforce, Qualcomm, Intel Corporation, Samsung, Micron Technology Inc., Amazon Web Services Inc., Apple Inc., Next IT Corp., Facebook, Siemens, General Electric, Oracle, Enlitic Inc., Xilinx, Albert Technologies, Iteris Inc., Others. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.