Surging Expansion Of E-Commerce Fuels Growth In The Generative

Published 4 days ago• 6 minute read

Generative AI In Marketing Market

What combination of drivers is leading to accelerated growth in the generative ai in marketing market?
The generative AI in marketing market is anticipated to surge due to the expansion of e-commerce. E-commerce, defined as the online or electronic trading of goods and services, is rapidly increasing. This growth is fueled by factors such as the rise of internet usage, a shift in consumer predilection towards online shopping, convenience, and improvements in logistics and payment mechanisms. Generative AI is being utilized in e-commerce to customize product suggestions, create tailored advertising content, and formulate captivating product descriptions that cater to each customer's inclinations, thereby enriching the shopping experience and elevating sales. For instance, data from the United States Census Bureau, a government agency based in the US, in February 2024 showed that total retail e-commerce sales amounted to $1,831.4 billion in the last quarter of 2023, marking a 0.4% rise from the third quarter of the same year. Consequently, the boom in e-commerce is catalyzing the expansion of the generative AI in marketing market.

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What is the projected compound annual growth rate (CAGR) of the generative ai in marketing market from 2025 to 2034, and what factors influence it?
There has been substantial expansion in the market size of generative AI in marketing in the past years. The market value is projected to surge from $3.64 billion in 2024 to $4.92 billion in 2025, with a compound annual growth rate (CAGR) of 35.3%. The historic phase growth can be linked to the advancement in AI algorithms, increase in data volume, reduction in costs, growth in digitalization, and the ascendancy of e-commerce.

We anticipate significant expansion in the generative AI in marketing market size in the coming years, rocketing to $16.3 billion by 2029 with a compound annual growth rate (CAGR) of 34.9%. This surge during the predicted period is due to the burgeoning of content marketing, the escalating prominence of influencer marketing, the personalization of customer journeys, ethical AI approaches, and the requirement for AI-crafted content. Key trends during the projected period incorporate the creation of content that is driven by AI, ultra-customization, the fusion of predictive analytics, enhanced creative cooperation through AI, and solutions for regulatory compliance.

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What trends are poised to drive the future success of the generative ai in marketing market?
Leading firms in the generative AI in marketing sector are utilizing AI technology to bring forth new revolutionary solutions that improve the creativity and effectiveness of marketing campaigns. Generative AI in marketing provides marketers with the capability to streamline their creative process, boost campaign performance, and offer more engaging and uniquely tailored experiences to their consumers, thereby yielding improved outcomes and a greater return on investment (ROI) for their marketing initiatives. For example, in January 2023, AppsFlyer, a US-based analytics firm, introduced Creative Optimization. This is an AI-driven solution specifically crafted to amplify the creative process and bolster the performance of marketing campaigns. This product offers marketers with beneficial insights and data-led direction to leverage the potential of their creative resources to the fullest. It identifies trends and characteristics that prompt ideal audience engagement, thus allowing marketers to make data-guided decisions and amplify campaign efficiency. Moreover, it facilitates cooperation among performance marketing, creative, and business intelligence (BI) teams leading to more productive and successful campaigns.

What are the major segments of the generative ai in marketing market and their role in driving growth?
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

Subsegments:
1) By Service: Consulting And Strategy Development, Integration And Implementation Services, Support And Maintenance, Training And Education
2) By Software: Content Generation Tools, Customer Segmentation And Targeting Software, Predictive Analytics Tools, Chatbots And Virtual Assistants

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Which regions are key players in the growth of the generative ai in marketing market?
North America was the largest region in the generative AI in marketing market in 2024. 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.

Who are the key firms paving the way for growth in the generative ai in marketing market?
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

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What Is Covered In The Generative AI In Marketing Global Market Report?

• Market Size Forecast: Examine the generative ai in marketing market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the generative ai in marketing market for a structured understanding.
• Key Players Overview: Analyze major players in the generative ai in marketing market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the generative ai in marketing market.
• Segment Contributions: Evaluate how different segments drive overall growth in the generative ai in marketing market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the generative ai in marketing market.
• Industry Challenges: Identify potential risks and obstacles affecting the generative ai in marketing market.
• Competitive Landscape: Review strategic developments in the generative ai in marketing market, including expansions, agreements, and new product launches.

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