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Artificial Intelligence In Marketing Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The artificial intelligence in marketing market size has experienced substantial expansion in recent years. It is forecast to grow from $35.39 billion in 2025 to $46.49 billion in 2026, achieving a compound annual growth rate (CAGR) of 31.4%. The growth observed in the past can be ascribed to the increasing availability of consumer data, the broadening of digital marketing channels, the rising adoption of cloud-based marketing platforms, the expansion of e-commerce activities, and advancements in machine learning algorithms.
The artificial intelligence in marketing market size is anticipated to undergo significant growth in the upcoming years, with projections indicating it will reach $137.34 billion in 2030, achieving a compound annual growth rate (CAGR) of 31.1%. This expansion during the forecast period is primarily driven by increasing investments in AI-powered marketing platforms, a rising demand for hyper-personalized advertising, the broadening of omnichannel marketing strategies, a growing emphasis on real-time decision intelligence, and the increasing integration of AI with CRM systems. Key trends expected over the same period include a broader adoption of predictive customer analytics, the increased utilization of AI-driven personalization engines, deeper integration of marketing automation platforms, the expansion of real-time customer engagement tools, and a heightened focus on data-driven campaign optimization.
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Artificial Intelligence In Marketing Market Opportunity Drivers: What Is Creating New Revenue Potential?
The rising adoption of data analytics solutions in marketing is a primary driver for the expansion of the artificial intelligence (AI) in marketing market. Data analytics entails examining, cleaning, transforming, and interpreting data to uncover valuable information, identify patterns, and facilitate decision-making. These analytical tools are crucial for marketing companies, enabling deep customer insights, precise offer delivery, effective customer nurturing, and advanced lead scoring. For instance, Tech jury, a US-based software and tech review company, reported in January 2024 that the big data analytics market is projected to reach $103 billion by 2023, with data creation anticipated to exceed 180 zettabytes by 2025. Consequently, the expansion of data analytics solutions in marketing is poised to propel the growth of the artificial intelligence (AI) in marketing market.
Artificial Intelligence In Marketing Market Segment Outlook: Which Categories Are Expanding The Fastest?
The artificial intelligence in marketing market covered in this report is segmented –
1) By Technology: Machine Learning, Context-Aware Computing, Natural Language Processing, Computer Vision
2) By Offering: Software, Services
3) By Deployment Type: Cloud, On Premises
4) By Application: Social Media Advertising, Search Advertising, Dynamic Pricing, Virtual Assistant, Content Curation, Sales And Marketing Automation, Analytics Platform, Other Applications
Subsegments:
1) By Machine Learning: Predictive Analytics, Customer Segmentation, Recommendation Systems
2) By Context-Aware Computing: Location-Based Marketing, Real-Time Personalization, Behavioral Targeting
3) By Natural Language Processing (NLP): Chatbots And Virtual Assistants, Sentiment Analysis, Content Generation
4) By Computer Vision: Image Recognition, Video Analytics
Artificial Intelligence In Marketing Market Trends Driving Strategic Industry Expansion
Major companies engaged in the artificial intelligence (AI) in marketing sector are increasingly concentrating on introducing marketing co-pilot tools to gain a competitive edge in the market. A 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 utilizing artificial intelligence (AI) to provide marketers with immediate responses to intricate questions concerning their past, present, and future performance metrics. This recent advancement allows marketers to inquire about their performance metrics and receive instant answers based on data gathered from their entire marketing and sales stack, including platforms like Salesforce, HubSpot, Google Analytics, and social media channels.
Artificial Intelligence In Marketing Market Key Companies And Competitive Benchmarking
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
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Artificial Intelligence In Marketing Market Largest Region By Revenue And Market Share
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.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.