市场调查报告书
商品编码
1603268
基于人工智慧的个人化市场规模、份额、成长分析,按类型、技术、应用、地区划分 - 产业预测,2024-2031 年Artificial Intelligence Based Personalization Market Size, Share, Growth Analysis, By Type, By Technology, By Application, By Region - Industry Forecast 2024-2031 |
2022年全球基于人工智慧的个人化市场规模为4,408亿美元,从2023年的4,619亿美元成长到2031年的6,721.1亿美元,预测期(2024-2031)预计复合年增长率为4.80% 。
行销格局正在转向人工智慧驱动的个人化,并远离传统的大众行销方法,因为传统的大众行销方法经常会因不相关的讯息而损害用户体验。公司现在不再采用一刀切的策略,而是利用人工智慧演算法根据个人行为、偏好和过去的互动来客製化行销工作。这种有针对性的方法不仅可以提高客户满意度和参与度,还可以显着提高行销效率,从而减少选择退出并提高转换率。电子商务、医疗保健和金融等行业尤其推动了对客製化消费者体验的需求。透过分析客户互动模式,公司可以製定个人化的行销宣传活动和动态定价策略,从而提高忠诚度和更高的收益成长。儘管有这些好处,公司不仅必须对实施人工智慧驱动的个人化所需的财务投资保持警惕,而且还要对与偏见、歧视和隐私相关的道德影响保持警惕。当公司应对这些挑战时,他们应该专注于创建负责任且有效的个人化行销解决方案,与当今挑剔的消费者产生共鸣,并最终在市场上取得更好的结果。
Global Artificial Intelligence Based Personalization Market size was valued at USD 440.8 Billion in 2022 and is poised to grow from USD 461.9 Billion in 2023 to USD 672.11 Billion by 2031, growing at a CAGR of 4.80% in the forecast period (2024-2031).
The marketing landscape is shifting towards AI-powered personalization, leaving behind the traditional mass marketing approach that often compromises user experience with irrelevant messaging. Instead of employing a one-size-fits-all strategy, businesses are now harnessing AI algorithms to tailor their marketing efforts based on individual behavior, preferences, and past interactions. This targeted methodology not only enhances customer satisfaction and engagement but also significantly improves marketing efficiency, leading to reduced opt-outs and heightened conversion rates. Industries such as e-commerce, healthcare, and finance are particularly driving this demand for customized consumer experiences. By analyzing customer interaction patterns, businesses can deploy personalized marketing campaigns and dynamic pricing strategies, fostering both loyalty and higher revenue growth. Despite its advantages, organizations must remain vigilant about the ethical implications surrounding bias, discrimination, and privacy concerns, as well as the financial investment needed for implementing AI-driven personalization. As businesses navigate these challenges, the focus should be on creating responsible and effective personalized marketing solutions that resonate with today's discerning consumers, ultimately driving better results in the competitive marketplace.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence Based Personalization market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Artificial Intelligence Based Personalization Market Segmental Analysis
Global Artificial Intelligence Based Personalization Market is segmented by Type, by Technology, by application, and by Region. Based on Type, the market is segmented into Website Personalization, Display Ads Personalization, Social Media Personalization, E-mail Personalization. Based on Technology, the market is segmented into Machine Learning, Deep Learning, Natural Language Processing. Based on application, the market is segmented into Travel, Retail, Media & Entertainment. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Driver of the Global Artificial Intelligence Based Personalization Market
The Global Artificial Intelligence Based Personalization market is significantly driven by the surging demand for tailored customer experiences. Recent growth in global collaborations utilizing AI for personalization underscores this trend. The rapid embrace of artificial intelligence technologies across various sectors further amplifies market dynamics. Additionally, the proliferation of mobile technology, the Internet of Things (IoT), and the resurgence of in-store shopping are anticipated to enhance market performance in the near future. Contributing factors such as the expansion of big data analytics, cost-efficient consumer data analysis, and a rising interest in real-time personalization solutions are also expected to fuel market growth in the upcoming years.
Restraints in the Global Artificial Intelligence Based Personalization Market
The Global Artificial Intelligence Based Personalization market faces significant restraints, particularly due to increasing data privacy concerns. As the industry relies heavily on machine learning and deep learning technologies to tailor offers to consumers, the potential misuse of sensitive data emerges as a major issue. Various tools such as analytics systems, recommendation engines, and adtech platforms, while beneficial, can inadvertently exploit personal information. Additionally, minor errors in these systems can lead to substantial failures, compromising the desired outcomes and overall effectiveness of personalization efforts. Consequently, these factors may hinder the growth and stability of the market amidst rising scrutiny over data privacy.
Market Trends of the Global Artificial Intelligence Based Personalization Market
The Global Artificial Intelligence Based Personalization market is witnessing significant growth, underscored by a robust compound annual growth rate (CAGR), primarily driven by the expanding efforts of mass retailers in enhancing consumer engagement. As traditional one-size-fits-all marketing strategies evolve, businesses are increasingly leveraging AI to create tailored messaging that resonates with individual customer preferences and buying habits. The surge in mass marketing subscription rates, coupled with advanced data processing capabilities and the proliferation of online services, facilitates a more nuanced understanding of consumer behavior. Consequently, companies are harnessing AI-driven personalization not only to optimize marketing costs but also to streamline operations and foster deeper connections with their customer base.