Artificial intelligence (AI) in marketing refers to the use of AI-powered technologies to optimize, automate, and enhance marketing efforts across various channels. AI in marketing enables businesses to leverage data-driven insights, improve customer targeting, personalize content, and enhance decision-making processes.
The artificial intelligence in marketing market consists of sales, by entities (organizations, sole traders and partnerships) of artificial intelligence in marketing that is used by companies across industries, including retail, e-commerce, banking, healthcare, and media, to improve customer engagement, streamline marketing operations, and maximize return on investment (ROI).
The global artificial intelligence in marketing market was valued at $9,016.77 million in 2019 which grew till 2024 at a compound annual growth rate (CAGR) of more than 25.00%.
Rise In Advertisement Expenditure
An increase in advertisement spending drove the demand for artificial intelligence in marketing in the historic period. With rising competition, companies are investing heavily in digital advertising, requiring AI-driven solutions to enhance efficiency and effectiveness. AI-powered tools analyze consumer behavior, segment audiences, and deliver personalized ads in real time, ensuring higher engagement and conversion rates. Programmatic advertising, powered by AI, automates ad placements and bidding strategies, reducing costs while improving reach. For instance, according to the 2021 Video Ad Spend and 2022 Outlook report by a US-based media organization Interactive Advertising Bureau, the spend on digital video advertising increased 49% in 2021. Therefore, a rise in advertisement spending propelled the growth of the artificial intelligence in marketing market in the historic period.
New AI-Powered Marketing Suite Enhances Brand Strategies
Major companies operating in artificial intelligence (AI) in marketing market are focusing on the new AI-powered marketing suite to enhance brand strategies. These advanced suites integrate machine learning, natural language processing (NLP), and predictive analytics to analyze consumer behavior, automate content creation, and optimize customer interactions across multiple channels. By leveraging AI, brands can gain deeper insights into audience preferences, personalize messaging at scale, and improve engagement rates. For instance, in January 2025, LS Digital, an India-based media company, unveiled its AI marketing stack, integrating artificial intelligence into its suite of marketing services. The initiative underscores the growing significance of AI in reshaping the marketing landscape, enabling brands to leverage data-driven insights, create personalized campaigns, and predict market trends with unprecedented accuracy. By offering limited free access to the new marketing stack Research AI for existing clients, LS Digital aims to accelerate AI adoption, addressing a key hesitation among marketers.
The global artificial intelligence in marketing market is fairly fragmented, with large number of players operating in the market. The top ten competitors in the market made up to 18.87% of the total market in 2023.
Artificial Intelligence In Marketing Global Market Opportunities And Strategies To 2034 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global artificial intelligence in marketing market as it emerges from the COVID-19 shut down.
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Where is the largest and fastest-growing market for artificial intelligence in marketing? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The artificial intelligence in marketing market global report from The Business Research Company answers all these questions and many more.
The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider artificial intelligence in marketing market; and compares it with other markets.
The report covers the following chapters
- Introduction and Market Characteristics - Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by technology, by offering, by deployment type and by application.
- Key Trends - Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Macro-Economic Scenario - The report provides an analysis of the interest rates, inflation, geopolitics and covid and recovery on the market.
- Growth Analysis And Strategic Analysis Framework - Analysis on PESTEL, end use industries, market growth rate, global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods, forecast growth contributors and total addressable market (TAM).
- Regional And Country Analysis - Historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison by region and country.
- Market Segmentation - Contains the market values (2019-2024) (2024-2029, 2034F) and analysis for each segment by technology, by offering, by deployment type and by application in the market. Historic (2019-2024) and forecast (2024-2029) and (2029-2034) market values and growth and market share comparison by region market.
- Regional Market Size and Growth- Regional market size (2024), historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape- Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major And Innovative Companies- Details on the company profiles of other major and innovative companies in the market.
- Competitive Benchmarking- Briefs on the financials comparison between major players in the market.
- Competitive Dashboard- Briefs on competitive dashboard of major players.
- Key Mergers and Acquisitions- Information on recent mergers and acquisitions in the market covered in the report. This section gives key financial details of mergers and acquisitions, which have shaped the market in recent years.
- Recent Developments- Information on recent developments in the market covered in the report.
- Market Opportunities And Strategies Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions And Recommendations This section includes recommendations for artificial intelligence in marketing providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix- This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
- 1) By Technology: Machine Learning; Context-Aware Computing; Natural Language Processing (NLP); Computer Vision
- 2) By Offering: Hardware; 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
- Companies Mentioned: Alphabet Inc. (Google); Meta Platforms Inc.; Amazon.com Inc.; Microsoft Corp.; Adobe Inc.
- Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; UK; Italy; Spain; Russia
- Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
- Time-series: Five years historic and ten years forecast.
- Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; artificial intelligence in marketing indicators comparison.
- Data segmentations: country and regional historic and forecast data; market share of competitors; market segments.
- Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.