| Market Size in 2024 | Market Forecast in 2034 | CAGR (in %) | Base Year |
|---|---|---|---|
| USD 19.50 Billion | USD 179.99 Billion | 24.89% | 2024 |
FrequentlyAsked Questions
In marketing, artificial intelligence refers to the application of AI-based technology to automatically make decisions about marketing based on data that is gathered and examined to promote the product based on customer behavior and perception. Artificial intelligence marketing strategies outperform conventional methods in terms of efficacy and efficiency of marketing expenditure.
The AI In Marketing market is being driven by several factors including growing investment, rising product launches and growing technological advancements. Additionally, the increasing collaboration among the participants is also propelling the market expansion during the forecast period.
According to the report, the global market size was worth around USD 19.50 Billion in 2024 and is predicted to grow to around USD 179.99 Billion by 2034.
The global AI In Marketing market is expected to grow at a CAGR of 24.89% during the forecast period.
The global AI In Marketing market growth is expected to be driven by North America. It is currently the world’s highest revenue-generating market due to the growing presence of major players.
The global AI In Marketing market is dominated by players like NVIDIA Corporation, Google, Microsoft, IBM, Salesforce, Qualcomm, Intel Corporation, Samsung, Micron Technology, Inc., Amazon Web Services, Inc., Apple Inc., Next IT Corp., Facebook, Siemens, General Electric, Oracle, Enlitic, Inc., iCarbonX, Xillinx, Albert Technologies and Iteris Inc. among others.
The AI In Marketing market report covers the geographical market along with a comprehensive competitive landscape analysis. It also includes cash flow analysis, profit ratio analysis, market basket analysis, market attractiveness analysis, sentiment analysis, PESTLE analysis, trend analysis, SWOT analysis, trade area analysis, demand & supply analysis, Porter’s five forces analysis, and value chain analysis.
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