Market Drivers –
The growth of e-commerce is expected to propel the growth of the generative AI in marketing market going forward. E-commerce refers to the buying and selling of goods and services over the Internet or other electronic networks. E-commerce is growing due to several factors, including increasing internet penetration, shifting consumer preferences towards online shopping, convenience, and advancements in logistics and payment systems. Generative AI in marketing is used in e-commerce to personalize product recommendations, create targeted advertising content, and generate engaging product descriptions tailored to individual customer preferences, enhancing the overall shopping experience and driving sales. For instance, in February 2024, according to the United States Census Bureau, a US-based government agency, total retail e-commerce sales reached $1,831.4 billion in the fourth quarter of 2023, reflecting a 0.4% increase compared to the third quarter of 2023. Therefore, the growth of e-commerce is driving the growth of the generative AI in marketing market.
Market Trends –
Major companies operating in the generative AI in marketing market are developing new innovative solutions using AI technology to enhance the creative process and performance of marketing campaigns. Generative AI in marketing empowers marketers to streamline the creative process, enhance campaign performance, and deliver more compelling and personalized experiences to their audience, ultimately driving better results and ROI (return on investment) for their marketing efforts. For instance, in January 2023, AppsFlyer, a US-based analytics company, launched Creative Optimization, a new AI-powered solution designed to enhance the creative process and performance of marketing campaigns. This product provides marketers with valuable insights and data-driven guidance to maximize the impact of their creative assets. Creative Optimization identifies trends and features that drive optimal audience engagement, empowering marketers to make informed decisions and improve campaign effectiveness. The solution enables collaboration between performance marketing, creative, and BI (business intelligence) teams, resulting in more efficient and successful campaigns.
The generative ai in marketing market covered in this report is segmented –
1) By Component: Service, Software
2) By System Type: Text Models, Multimodal Models
3) By Application: Content Generation, Search Engine Optimization (SEO), Lead Nurturing And Lead Scoring, Reporting And Analytics, Social Media Marketing, Other Applications
4) By End-Use: Media And Entertainment, Information Technology And Telecommunications, Healthcare, Automotive And Transportation, Banking, Financial Services, And Insurance, Retail And E-commerce, Other End-Use Industries
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Regional Insights –
North America was the largest region in the generative AI in marketing market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in marketing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Key Companies –
Major companies operating in the generative AI in marketing market report are Alphabet Inc.; Microsoft Corporation; Amazon Web Services; International Business Machines Corporation (IBM); Baidu Inc.; Adobe Inc.; OpenAI; Zeta Global.; Appier Inc.; Persado Inc.; Benchsci Inc.; Bluecore Inc.; Bizzabo Ltd.; Conversica Inc.; Cognitivescale Inc.; Acquisio Inc.; Brighterion Inc.; ClarifAI Inc.; B12 Inc.; AYLIEN Ltd.; Synthesis AI; Amplero Inc.; Genie Artificial Intelligence Ltd.; MOSTLY AI Inc.; Rephrase.AI
Table of Contents
1. Executive Summary
2. Generative AI In Marketing Market Report Structure
3. Generative AI In Marketing Market Trends And Strategies
4. Generative AI In Marketing Market – Macro Economic Scenario
5. Generative AI In Marketing Market Size And Growth
…..
27. Generative AI In Marketing Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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