Market Size in 2023 | Market Forecast in 2032 | CAGR (in %) | Base Year |
---|---|---|---|
USD 14.30 Billion | USD 109.27 Billion | 22.6% | 2023 |
According to Zion Market Research, the global Artificial Intelligence In Marketing Market was worth USD 14.30 Billion in 2023. The market is forecast to reach USD 109.27 Billion by 2032, growing at a compound annual growth rate (CAGR) of 22.6% during the forecast period 2024-2032. The report offers a comprehensive analysis of the market, highlighting the factors that will determine growth, potential challenges, and opportunities that could emerge in the Artificial Intelligence In Marketing Market industry over the next decade.
The report offers a valuation and analysis of Artificial Intelligence In Marketing market on a global as well as regional level. The study offers a comprehensive assessment of the industry competition, limitations, sales estimates, avenues, current & emerging trends, and industry-validated market data. The report offers historical data from 2018 to 2022 along with a forecast from 2024 to 2032 based on value (USD Billion).
Artificial intelligence is used in marketing activities for providing consumers with a personalized & digital experience. In addition to this, marketing activities make use of AI to facilitate automated decision-making processes including data collection, data analyzing, and monitoring the activities of targeted audiences on the web. Furthermore, AI is utilized for automating marketing activities, reducing errors in web promotions, raising ROIs, reducing operational costs, and improving business decision-making processes. Apparently, artificial intelligence assists marketers inaccurate sales forecasting, content generation, speech recognition, automated image detection, gaining customer insights, and ensuring maintaining of data privacy & quality. Citing an instance, Amazon makes use of AI for enhancing online shopping services & improving customer experiences.
The massive acceptance of consumer-centric marketing strategies along with the rise in the use of social media tools for promoting products & services will create lucrative growth avenues for artificial intelligence in marketing industry. In addition to this, the large-scale use of AI tools in improving content-curating activities, analytics, and web searches will drive business trends. Apparently, the utilization of AI helps marketers to draw exact inferences from end-user data, thereby determining consumer behavior and consumer trends as well as their choices. This, in turn, will help the firms reach their target audience as well as increase their sales along with attracting new customers, thereby steering the industry space. Furthermore, AI also helps firms promote products & services, exactly identify customer wants, and help them in customer retention. This will augment the business landscape in the forthcoming years.
Moreover, AI tools help firms in increasing their profits through effective sales promotions, thereby ensuring customer satisfaction along with increasing customer reach. In addition to this, AI is also used by firms to effectively advertise their products & services as a part of their business strategy. Furthermore, artificial intelligence techniques also help marketers in generating huge sales through the generation of prospective leads along with effectively positioning themselves in the business to ensure brand loyalty among their customers. All these aforementioned aspects are likely to amplify the size of artificial intelligence in marketing industry in the foreseeable future.
Report Attributes | Report Details |
---|---|
Report Name | Artificial Intelligence In Marketing Market |
Market Size in 2023 | USD 14.30 Billion |
Market Forecast in 2032 | USD 109.27 Billion |
Growth Rate | CAGR of 22.6% |
Number of Pages | 120 |
Key Companies Covered | Oracle, Baidu, Albert Technologies, Sentient Technologies, Twitter, Zensed, Appier, Persado, Facebook, Micron, Intel Corporation, Amazon, and Salesforce |
Segments Covered | By End-User, By Technology, And By Region |
Regions Covered | North America, Europe, Asia Pacific (APAC), Latin America, Middle East, and Africa (MEA) |
Base Year | 2023 |
Historical Year | 2018 to 2022 |
Forecast Year | 2024 - 2032 |
Customization Scope | Avail customized purchase options to meet your exact research needs. Request For Customization |
North American Market To Retain Dominant Position Over 2024 – 2032
The growth of artificial intelligence in marketing market in North America over the assessment period can be attributed to the large-scale presence of tech giants in the countries such as Canada as well as the U.S. In addition to this, massive acceptance of new AI techniques by giant enterprises as well as small & medium-scale firms will catapult the growth of the regional market over the forecast timeframe.
Key players profiled in the study are
FrequentlyAsked Questions
The massive acceptance of consumer centric marketing strategies along with rise in use of social media tools for promoting the products & services will create lucrative growth avenues for artificial intelligence in marketing industry. In addition to this, large-scale use of AI tools in improving content curating activities, analytics, and web searches will drive the business trends.
According to Zion Market Research report, the global Artificial Intelligence In Marketing Market was worth USD 14.30 Billion in 2023. The market is forecast to reach USD 109.27 Billion by 2032, growing at a compound annual growth rate (CAGR) of 22.6% during the forecast period 2024-2032.
North America is likely to make noteworthy contributions towards overall market revenue. The growth of the industry in the sub-continent over the estimated timespan is attributed to large-scale presence of tech giants in the countries such as Canada as well as the U.S. In addition to this, massive acceptance of new AI techniques by giant enterprises as well as small & medium-scale firms will catapult the growth of the regional market over the forecast timeframe.
The key players profiled in the report include are Oracle, Baidu, Albert Technologies, Sentient Technologies, Twitter, Zensed, Appier, Persado, Facebook, Micron, Intel Corporation, Amazon, and Salesforce.
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