Artificial Intelligence in Marketing Market Report 2026

The artificial intelligence in marketing market size has grown exponentially in recent years. It will grow from $35.39 billion in 2025 to $46.49 billion in 2026 at a compound annual growth rate (CAGR) of 31.4%. The growth in the historic period can be attributed to increasing availability of consumer data, expansion of digital marketing channels, rising adoption of cloud-based marketing platforms, growth in e-commerce activities, advancements in machine learning algorithms.

The artificial intelligence in marketing market size is expected to see exponential growth in the next few years. It will grow to $137.34 billion in 2030 at a compound annual growth rate (CAGR) of 31.1%. The growth in the forecast period can be attributed to increasing investments in ai-powered marketing platforms, rising demand for hyper-personalized advertising, expansion of omnichannel marketing strategies, growing focus on real-time decision intelligence, increasing integration of AI with crm systems. Major trends in the forecast period include increasing adoption of predictive customer analytics, rising use of ai-driven personalization engines, growing integration of marketing automation platforms, expansion of real-time customer engagement tools, enhanced focus on data-driven campaign optimization.

The increase in data analytics solutions in marketing is expected to drive the growth of the artificial intelligence (AI) in marketing market going forward. Data analytics refers to the process of examining, cleaning, transforming, and interpreting data to uncover useful information, identify patterns, and support decision-making. Data analytics has become an essential tool for marketing companies, enabling them to gain deep insights into customers, deliver the right offers at the right time, nurture potential leads, and improve lead scoring. For instance, in January 2024, according to TechJury, a US-based software and tech review company, the big data analytics market is projected to reach $103 billion by 2023, with data creation expected to exceed 180 zettabytes by 2025. Therefore, the growth of data analytics solutions in marketing is driving the expansion of the artificial intelligence (AI) in marketing market.

Major companies operating in the artificial intelligence (AI) in marketing market are increasing their focus on introducing marketing co-pilot solutions to gain a competitive advantage. Marketing Co-Pilot refers to an AI system that assists in guiding or managing marketing activities. For instance, in February 2023, Dealtale, an Israel-based software company, announced the development of Marketing Co-Pilot, a feature that uses artificial intelligence (AI) to offer marketers instant answers to complex questions related to their past, present, and future performance metrics. This new capability allows marketers to query their performance data and receive immediate insights based on information collected across their marketing and sales systems, including Salesforce, HubSpot, Google Analytics, and social media platforms.

In July 2024, Aletheia Marketing & Media Inc., a US-based digital marketing agency, acquired Pluralytics, an AI content intelligence platform, for an undisclosed amount. Through this acquisition, Aletheia aims to enhance its AI-powered marketing and media solutions by integrating Pluralytics’ behavioral science and AI platform, enabling deeper audience insights, more personalized campaigns, and reduced content waste. Pluralytics is a US-based provider of AI-driven content intelligence and audience analysis.

Major companies operating in the artificial intelligence in marketing market are IBM Corporation; Salesforce. com Inc.; Amazon. com Inc.; Facebook Inc.; Oracle corporation; Appier Inc.; GumGum Inc.; Heuritech SAS; NetBase Quid Inc.; Quantcast Corporation; Persado Inc.; Albert Technologies Ltd.; Affectiva Inc.; Conversica Inc.; Brave Bison Group plc; War Room Inc.; SmallGiants LLC; Shout Digital Ltd.; Major Tom Inc.; Blueshift Labs Inc.; iKala Interactive Media Inc.; Amplero Inc.; Clickstrike Inc.; Avantgrade LLC; NoGood Inc.; Single Grain LLC; Matrix Marketing Group LLC; Near Pte Ltd.; Pixis Interactive Inc.; Adobe Sensei.

Asia-Pacific was the largest region in the artificial intelligence in marketing market in 2025. The regions covered in the artificial intelligence in marketing market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence in marketing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs are influencing the artificial intelligence in marketing market by increasing costs of imported servers, data processing hardware, networking equipment, and cloud infrastructure components supporting AI workloads. North america and europe are most affected due to reliance on imported data center equipment, while asia-pacific faces cost pressures on cloud infrastructure expansion. These tariffs are raising operational expenses for marketing technology providers and enterprises. However, they are also encouraging local data center investments, regional cloud infrastructure development, and optimization of software-driven AI marketing solutions.

The artificial intelligence in marketing market research report is one of a series of new reports that provides artificial intelligence in marketing market statistics, including artificial intelligence in marketing industry global market size, regional shares, competitors with a artificial intelligence in marketing market share, detailed artificial intelligence in marketing market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in marketing industry. This artificial intelligence in marketing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

AI in marketing involves the utilization of consumer data for automated decision-making, leveraging algorithms and machine learning engines. These technologies enable the analysis of data gathered from audiences or economic patterns, informing marketing efforts through automated judgments.

The primary technologies employed in artificial intelligence for marketing include machine learning, context-aware computing, natural language processing, and computer vision. Machine learning solutions in marketing involve computer programs capable of learning and adapting to new data without human intervention, maintaining up-to-date algorithms. These technologies are available through hardware, software, and services, deployable via cloud or on-premises. Applications of artificial intelligence in marketing span social media advertising, search advertising, dynamic pricing, virtual assistants, content curation, sales and marketing automation, analytics platforms, and more.

The artificial intelligence in the marketing market includes revenues earned by entities by making automated judgments based on audience or economic patterns that may affect marketing activities, data collection, analysis, and other observations. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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