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Global Artificial Intelligence in Personalized Marketing Market Size, Share & Trends Analysis Report, By Target Audience (B2B, B2C), by Industry (Retail, E-commerce, Financial Services, Healthcare), by Application (Product Recommendation, Targeted Audience, Chatbots, Dynamic Pricing, Fraud detection), by Market Channel (Email marketing, Social media marketing, Website marketing, Mobile marketing), By Region (North America, Europe, APAC, and Others), and Segment Forecasts, 2024 – 2032
  • Published Date: Nov, 2023
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  • Pages: 200
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  • Report Summary
  • Table of Contents
  • Segmentation
  • Methodology
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The market for AI in personalized marketing refers to the sector that encompasses the deployment and utilization of artificial intelligence technologies and solutions to enhance and customize marketing strategies on an individualized level. In this market, businesses leverage AI algorithms and data analytics to analyze extensive datasets, gaining insights into individual customer preferences, behaviors, and interactions. The primary goal is to create and implement highly targeted and personalized marketing campaigns that resonate with specific audiences. This involves tailoring content, recommendations, and promotional efforts based on the unique needs and interests of each customer. The market for AI in personalized marketing spans various industries, including retail, e-commerce, finance, and more, as businesses recognize the value of leveraging AI capabilities to optimize customer engagement, satisfaction, and overall marketing effectiveness. Key components include predictive analytics, machine learning algorithms, and automation tools that contribute to the seamless integration of AI-driven personalization within marketing strategies.

Some of the benefits of designing an Artificial Intelligence in Personalized Marketing Market include:

  • Elevated Personalization: Through the capabilities of AI, businesses can analyze extensive datasets, gaining profound insights into individual customer preferences, behaviors, and purchase history. This results in meticulously personalized marketing campaigns, ensuring that content, recommendations, and promotions are finely tailored to meet the specific needs and interests of each customer.
  • Enhanced Customer Engagement: The application of AI in personalized marketing cultivates more compelling and pertinent customer experiences. By delivering content and messages that deeply resonate with individuals, businesses can effectively capture and sustain customer attention, nurturing heightened engagement and interaction.
  • Streamlined Customer Journeys: AI algorithms meticulously scrutinize customer journeys across diverse touchpoints, deciphering patterns and preferences. This optimization ensures a seamless and personalized experience for customers, guiding them through the sales funnel with increased efficiency and enhancing the likelihood of conversion.
  • Heightened Customer Satisfaction: Personalized experiences contribute significantly to elevated levels of customer satisfaction. When customers perceive that a brand comprehends their needs and preferences, it fosters trust and loyalty. Satisfied customers are more inclined to make repeat purchases and evolve into brand advocates.
  • Effective Marketing Automation: AI serves as a facilitator for marketing automation by simplifying repetitive tasks, including email campaigns, content customization, and recommendation engines. This enhanced efficiency allows marketing teams to concentrate on strategic initiatives, creative endeavors, and the thorough analysis of performance metrics.

Global Artificial Intelligence in Personalized Marketing Market was valued at US $ 12.4 Billion in 2023 and is expected to reach US $ 93.98 Billion by 2032 growing at a CAGR of 22.5% during the forecast period 2024 – 2032.

COVID -19 Impact

The COVID-19 pandemic has brought a mix of challenges and opportunities to the AI in personalized marketing market. On the downside, businesses faced budget constraints and reduced marketing budgets, leading to a slowdown in investments in AI technologies. The shift in consumer behavior, supply chain disruptions, and economic uncertainties further added complexity to the personalized marketing landscape. However, the pandemic also accelerated digital transformation, pushing businesses to adopt AI for personalized marketing to enhance online customer experiences. The surge in e-commerce activity, a heightened focus on customer retention, and the increased emphasis on data analytics presented opportunities for businesses to leverage AI-driven strategies. As remote engagement became the norm, AI technologies played a vital role in ensuring personalized interactions through digital channels. The long-term impact will depend on how businesses navigate these challenges, adapt to evolving consumer behaviors, and capitalize on the opportunities for innovation and growth in the post-pandemic era.

Factors Driving the Market


Increasing demand for personalized experiences

The surging demand for personalized experiences is a driving force behind the expanding market for AI in personalized marketing. Consumers now expect and prioritize individualized interactions with brands, prompting businesses to turn to AI to analyze extensive datasets and glean insights into customer preferences, behaviors, and purchasing patterns. By leveraging this data, businesses can craft highly personalized and engaging experiences that resonate with each customer, establishing stronger connections and fostering brand loyalty. AI-driven personalization not only tailors content delivery through predictive analytics but also contributes to improved customer satisfaction, as customers appreciate brands that understand and cater to their unique needs. The optimization of customer journeys across various touchpoints further enhances efficiency, leading to increased conversion rates and revenue growth. In the intensely competitive landscape, businesses recognize AI as a critical tool for gaining a competitive edge by delivering the personalized experiences that set them apart and meet the evolving expectations of modern consumers. This trend is particularly pronounced in the e-commerce and online retail sector, where AI analyzes customer data to provide personalized recommendations, contributing to the overall growth of these markets. As consumer expectations continue to rise, the demand for AI in personalized marketing is poised to expand further as businesses strive to meet these expectations and deliver exceptional, tailored experiences.


Data privacy concerns

Data privacy concerns exert a profound impact on the market growth of AI in personalized marketing. The escalating awareness and sensitivity surrounding the handling of personal data have created a complex environment that shapes the trajectory of AI-driven personalized marketing initiatives. The erosion of consumer trust represents a significant repercussion, as apprehensions about data privacy lead individuals to hesitate in engaging with personalized marketing efforts. Stricter regulatory compliance, exemplified by laws such as GDPR, poses challenges for businesses, necessitating meticulous adherence to avoid legal consequences and reputational damage. The rise of opt-out preferences among privacy-conscious consumers further complicates the landscape, potentially limiting the reach and efficacy of AI-driven campaigns. Security risks associated with the processing of extensive datasets underscore the importance of robust measures to prevent breaches that could undermine both individuals and businesses. Transparent data practices and ethical considerations also come to the forefront, with businesses that prioritize clarity and ethical usage likely to navigate privacy concerns more effectively and foster sustainable growth in the AI in personalized marketing market.


Targeted advertising and marketing

Targeted advertising and marketing are instrumental in propelling the growth of the AI in personalized marketing market. Through the sophisticated analysis of vast datasets, AI algorithms empower businesses to achieve precision targeting by understanding individual consumer behaviors, preferences, and demographics. This depth of insight facilitates the creation of highly personalized advertising campaigns, ensuring that messages resonate with specific audience segments and significantly enhancing the relevance of marketing efforts. The increased relevance and engagement resulting from targeted advertising contribute to a more seamless and optimized customer journey. AI-driven personalization tailors the user experience across various touchpoints, guiding consumers through a path that is not only efficient but also uniquely personalized. Dynamic content delivery is a key feature, enabling marketers to adjust the content of advertisements in real time based on user interactions, ensuring timeliness and effectiveness.

Moreover, AI's predictive capabilities play a crucial role in behavior prediction and retargeting strategies. By anticipating future actions and preferences through historical data analysis, businesses can strategically present personalized advertisements to users who have shown interest but have not yet converted. This proactive approach maximizes the impact of marketing efforts. At its core, targeted advertising and marketing in the AI-driven landscape foster data-driven decision-making. AI algorithms continuously analyze data, optimizing advertising strategies, allocating budgets effectively, and identifying the most impactful channels. This data-driven approach not only enhances the efficiency and effectiveness of marketing campaigns but also contributes to overall business growth.

Market Segmentation

By Target Audience

By Target Audience, the global Artificial Intelligence in Personalized Marketing Market is divided into B2B, B2C.

B2B sectors leading the segment with 58.91% market share due to the intricate nature of their sales cycles and the involvement of high-value transactions. The complexity of B2B interactions benefits significantly from AI's capacity to streamline and personalize processes, employing strategies like account-based marketing to tailor communications and content to the unique needs of each business client. This adaptability contributes to the success of complex B2B transactions.

Concurrently, the B2C realm is identified as the fastest-growing segment with 25.8% CAGR, driven by the expansive consumer base and the surge in e-commerce and online retail. AI technologies, including machine learning and predictive analytics, enable businesses to navigate the challenge of personalization at scale. In B2C markets, AI optimizes product recommendations, refines personalized shopping experiences, and delivers targeted promotions, aligning with the heightened expectations of consumers for tailored interactions. The influence of social media in B2C interactions further amplifies the growth of personalized marketing, as AI analyzes social media data to understand consumer sentiments, preferences, and behaviors, facilitating effective customization of marketing messages across diverse touchpoints. It is crucial to note that the dynamics of the AI in personalized marketing market may evolve, and for the latest insights, consulting recent market reports and industry analyses is recommended.

By Industry

By Industry, the global Artificial Intelligence in Personalized Marketing Market is divided into Retail, E-commerce, Financial Services, Healthcare.

retail stands as a leader with 37.2% market share, leveraging AI technologies to enhance the in-store shopping experience. Traditional retailers have seamlessly integrated AI to offer personalized recommendations, targeted promotions, and optimized in-store layouts, creating a tailored environment for their customers. This approach is complemented by the adoption of omnichannel strategies, where AI ensures a consistent and cohesive personalized marketing experience across both online and offline channels.

Simultaneously, the e-commerce sector emerges as the fastest-growing segment in AI-driven personalized marketing with 19.2% CAGR. The surge in online shopping has propelled e-commerce platforms to harness the power of AI for a more personalized customer journey. AI algorithms analyze vast datasets generated by online interactions to deliver personalized product recommendations, tailor user interfaces, and optimize the overall online shopping experience. E-commerce platforms also leverage dynamic pricing strategies, personalized offers, and AI-powered chatbots for real-time customer support, contributing to increased customer satisfaction and the continuous growth of the e-commerce market. As consumer preferences and market dynamics evolve, staying informed through recent market reports and industry analyses is crucial for understanding the latest trends in AI-driven personalized marketing.

By Market Channel

By Market Channel, the Artificial Intelligence in Personalized Marketing Market is divided by Email marketing, Social media marketing, Website marketing, Mobile marketing.

email marketing holds a leading position with 44% market share, benefitting from its established status as a direct and personalized communication channel. With a wealth of experience in targeted messaging, businesses leverage email campaigns to deliver personalized content, promotions, and recommendations, enhancing customer engagement on an individual level. The integration of AI into email marketing further amplifies its effectiveness through advanced automation, allowing for the personalization of content and optimization of campaign performance based on AI-driven insights.

Simultaneously, social media marketing emerges as the fastest-growing application in this dynamic landscape with 33.4% CAGR. The expansive user base of social media platforms provides businesses with a vast audience for personalized marketing endeavors. Real-time engagement capabilities enable brands to promptly respond to user interactions, tailoring marketing messages based on ongoing conversations and trends. The visual-centric nature of social media is complemented by AI technologies, facilitating the personalization of visual content through features like image recognition and content recommendation algorithms. Social media's collaborative environment also fosters influencer marketing, with AI assisting in the identification of influencers aligned with specific brand demographics and optimizing collaboration strategies for maximum impact. This rapid growth in social media marketing reflects its agility in adapting to evolving consumer expectations and its potential to deliver visually appealing, tailored campaigns to a diverse audience.

By Application

By Application, the Artificial Intelligence in Personalized Marketing Market is divided by Product Recommendation, Targeted Audience, Chatbots, Dynamic Pricing, Fraud detection.

Product recommendations stand as a leading application in the AI in personalized marketing market with 32.57% market share, commanding a significant position due to their ability to enhance customer engagement, increase sales, and foster customer retention. Leveraging sophisticated AI algorithms, product recommendation systems analyze individual customer behaviors and preferences to deliver tailored suggestions, thereby creating a more personalized and positive user experience. The effectiveness of these recommendations in driving sales, capitalizing on upselling and cross-selling opportunities, and cultivating long-term customer loyalty has established them as a cornerstone in personalized marketing strategies.

Simultaneously, chatbots emerge as the fastest-growing application in this dynamic market landscape with 22% CAGR. Their adoption is propelled by the imperative of 24/7 customer interaction, providing constant availability for inquiries. Chatbots efficiently handle routine queries and frequently asked questions, streamlining customer support processes, reducing the workload on human agents, and ensuring prompt and consistent responses. As conversational marketing gains prominence, chatbots play a pivotal role in engaging customers in personalized conversations, gathering valuable data about preferences, and guiding them through the sales funnel. Furthermore, the integration of chatbots with popular messaging platforms enhances their reach, meeting customers on familiar channels and contributing to a seamless and interactive marketing experience. The rapid growth of chatbots is indicative of their efficiency in addressing evolving consumer expectations and the increasing demand for personalized, real-time interactions in the digital realm.

By Region

By region, the global Artificial Intelligence in Personalized Marketing Market is divided into North America, Europe, APAC and Others. Others is further divided into Middle East, Africa and South America.

In 2023, North America asserts its dominance as the primary region in the AI in personalized marketing market, commanding a substantial 38% market share. This leadership position is a result of various contributing factors, including the early embrace of AI technologies by regional businesses, the robust presence of major AI vendors, and the abundant availability of skilled AI professionals. The region's tech hubs, such as Silicon Valley, contribute to the leadership in AI-driven solutions for personalized marketing.

Nevertheless, the Asia Pacific region is poised to exhibit the most rapid growth in the AI in personalized marketing market over the ensuing five years, with a projected Compound Annual Growth Rate (CAGR) of 18.23%. This anticipated surge is propelled by the swift expansion of the e-commerce and online retail sectors within the region, coupled with a pervasive trend of businesses, regardless of size, increasingly integrating AI technologies into their operations. The e-commerce boom in APAC further accelerates the adoption of AI for personalized marketing, as companies seek to harness the potential of these technologies to enhance customer experiences and optimize their marketing efforts. It's essential to note that the dynamics of the AI in personalized marketing market may have evolved since my last update, and for the latest insights, consulting current market reports is recommended.

Competitive Landscape

The global Artificial Intelligence in Personalized Marketing Market is consolidated with the presence of few major players contributing to the market revenue. This dominance of these major players is driven by their technological expertise, extensive resources, and established brand recognition. These companies typically offered comprehensive and diversified solutions to end use industries.

  • Adobe

Adobe Inc., based in San Jose, California, stands as a prominent American multinational computer software company. Renowned globally, it holds a distinguished position in the software industry, boasting a diverse portfolio encompassing creative software, document management tools, and solutions in the realm of digital marketing. The inception of Adobe dates back to 1982, initiated by the collaboration of John Warnock and Charles Geschke, who forged their professional bond at Xerox PARC. The company's inaugural creation, PostScript, a revolutionary page description language, transformed the landscape of document creation and printing. Building on this innovation, Adobe solidified its influence in the 1990s with the introduction of industry-standard products such as Photoshop, Illustrator, and Acrobat, cementing its status as a go-to choice for creative professionals.

  • Facebook

Facebook headquartered in Menlo Park, California, Meta Platforms, an American multinational technology conglomerate, operates as a meta platform holding company. Under its umbrella, Meta Platforms oversees the management and development of both Facebook and Instagram. The inception of Facebook traces back to 2004 when Mark Zuckerberg, Eduardo Saverin, Andrew McCollum, Dustin Moskovitz, and Chris Hughes, all students at Harvard University at the time, founded the social media giant.


NVIDIA Corporation is a Delaware-incorporated American multinational technology company based in Santa Clara, California. Specializing in the design and production of computer hardware, NVIDIA creates graphics processing units (GPUs), motherboard chipsets, and solutions for professional visualization. At the core of NVIDIA's product offerings is the "GeForce" line, a key player in the competitive landscape alongside AMD's "Radeon" products. The versatility of NVIDIA GPUs extends to various applications, spanning gaming, scientific computing, professional visualization, and artificial intelligence.

  • Amazon
  • Apple
  • IBM
  • Google
  • Intel
  • Microsoft
  • Oracle
  • Salesforce
  • SAP
  • Adobe Target
  • Salesforce Einstein
  • IBM Watson Customer Engagement
  • Oracle Marketing Cloud
  • SAP Customer Data Cloud
  • Adobe Sensei
  • Google Cloud AI
  • IBM Watson AI
  • Microsoft Azure Cognitive Services

Recent Developments

  • In June 2023, Salesforce, a global CRM leader, unveiled Marketing GPT and Commerce GPT, their latest generative AI products. Marketing GPT empowers marketers to effortlessly craft personalized emails, refine audience segmentation, and automate marketing journeys. Furthermore, GPT-enabled dynamic buying journeys enable businesses to deliver unique shopping experiences and customized offers in response to individual customer preferences.
  • In February 2023, consulting firm Bain & Company partnered with OpenAI to unlock AI's full potential for corporate clients. The Coca-Cola Company plans to collaborate, leveraging OpenAI's ChatGPT and DALL-E platforms to create tailored messages, images, and content for advertising purposes.
  • In 2023, major players in the tech industry made significant strides in enhancing customer-centric strategies. Adobe, in collaboration with Microsoft, unveiled an integration between Adobe Target and Microsoft Dynamics 365 Customer Insights on January 10, empowering businesses to gain deeper insights into their customer base for more tailored marketing experiences.
  • Salesforce introduced a groundbreaking feature for Salesforce Einstein, named Einstein Customer Lifetime Value (CLV), on January 12. By harnessing the power of AI, this feature predicts the lifetime value of individual customers, enabling businesses to refine and prioritize their marketing endeavors.
  • On January 18, IBM announced a notable upgrade to IBM Watson Customer Engagement with the introduction of Watson Customer Insights. Leveraging AI capabilities, this feature furnishes businesses with valuable insights derived from customer data, thereby aiding in the optimization of marketing campaigns.
  • Oracle, on January 24, launched a new feature within the Oracle Marketing Cloud—Oracle AI-Powered Recommendations. This AI-driven functionality offers personalized product and service recommendations, ultimately assisting businesses in boosting their sales.
  • On February 1, 2023, SAP joined forces with Google to integrate SAP Customer Data Cloud with Google Cloud AI. This collaboration opens up opportunities for businesses to leverage AI in personalizing their marketing campaigns, marking a pivotal advancement in the realm of customer engagement.

Artificial Intelligence in Personalized Marketing Market Scope

Report Components Details
Base Year


Forecast Period

2024 – 2032

Quantitative Units

Revenue in US $ 

  • Growing availability of data
  • Increasing demand for personalized experiences
  • Advancements in AI technology
  • Need for efficiency and automation
  • Data privacy concerns
  • Transparency and explainability
  • Lack of skilled AI talent
  • Targeted advertising and marketing
  • Supply chain optimization
  • New product and service development
Segments Covered

By Target Audience (B2B, B2C), by Industry (Retail, E-commerce, Financial Services, Healthcare), by Application (Product Recommendation, Targeted Audience, Chatbots, Dynamic Pricing, Fraud detection), by Market Channel (Email marketing, Social media marketing, Website marketing, Mobile marketing)

Countries Covered

U.S. and Canada in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the APAC, Others include Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA), Brazil, Argentina, Mexico, and Rest of South America as part of South America

Market Players Covered

Adobe, Facebook, NVIDIA, Amazon, Apple, IBM, Google, Intel, Microsoft, Oracle, Salesforce, SAP, Adobe Target, Salesforce Einstein, IBM Watson Customer Engagement, Oracle Marketing Cloud, SAP Customer Data Cloud, MICROSOFT DYNAMICS 365 CUSTOMER INSIGHTS, Adobe Sensei, Google Cloud AI, IBM Watson AI, Microsoft Azure Cognitive Services

Table of Contents


1.1 Overview of the Market

1.2 Scope of Report

1.3 Assumptions





3.1 Data Mining

3.2 Validation

3.3 Primary Interviews

3.4 List of Data Sources



4.1 Overview

4.2 Market Dynamics

4.2.1 Drivers

4.2.2 Restraints

4.2.3 Opportunities

4.3 Porters Five Force Model

4.3.1. Bargaining Power of Suppliers

4.3.2. Threat of New Entrants

4.3.3. Threat of Substitutes

4.3.4. Competitive Rivalry

4.3.5. Bargaining Power among Buyers

4.4 Value Chain Analysis


5.1 Overview

5.2 B2B

5.3 B2C


6.1 Overview

6.2 Product Recommendation

6.3 Targeted Audience

6.4 Chatbots

6.5 Dynamic Pricing

6.6 Fraud detection


7.1 Overview

7.2 Retail

7.3 E-commerce

7.4 Financial Services

7.5 Healthcare


8.1 Overview

8.2 Email marketing

8.3 Social media marketing

8.4 Website marketing

8.5 Mobile marketing


9.1 North America

9.1.1 U.S.

9.1.2 Canada

9.2 Europe

9.2.1 Germany

9.2.3 U.K.

9.2.4 France

9.2.5 Rest of Europe

9.3 Asia Pacific

9.3.1 China

9.3.2 Japan

9.3.3 India

9.3.4 South Korea

9.3.5 Singapore

9.3.6 Malaysia

9.3.7 Australia

9.3.8 Thailand

9.3.9 Indonesia

9.3.10 Philippines

9.3.11 Rest of Asia Pacific

9.4 Others

9.4.1 Saudi Arabia

9.4.2 U.A.E.

9.4.3 South Africa

9.4.4 Egypt

9.4.5 Israel

9.4.6 Rest of Middle East and Africa (MEA)

9.4.7 Brazil

9.4.8 Argentina

9.4.9 Mexico

9.4.10 Rest of South America


10.1 Adobe

10.1.1. Company Overview

10.1.2. Key Executives

10.1.3. Operating Business Segments

10.1.4. Product Portfolio

10.1.5. Financial Performance (As per availability)

10.1.6 Key News


10.2 Facebook

10.2.1. Company Overview

10.2.2. Key Executives

10.2.3. Operating Business Segments

10.2.4. Product Portfolio

10.2.5. Financial Performance (As per availability)

10.2.6. Key News



10.3.1. Company Overview

10.3.2. Key Executives

10.3.3. Operating Business Segments

10.3.4. Product Portfolio

10.3.5. Financial Performance (As per availability)

10.3.6. Key News


10.4  Amazon

10.4.1. Company Overview

10.4.2. Key Executives

10.4.3. Operating Business Segments

10.4.4. Product Portfolio

10.4.5. Financial Performance (As per availability)

10.4.6. Key News


10.5 Apple

10.5.1. Company Overview

10.5.2. Key Executives

10.5.3. Operating Business Segments

10.5.4. Product Portfolio

10.5.5. Financial Performance (As per availability)

10.5.6. Key News


10.6 IBM

10.6.1. Company Overview

10.6.2. Key Executives

10.6.3. Operating Business Segments

10.6.4. Product Portfolio

10.6.5. Financial Performance (As per availability)

10.6.6. Key News


10.7 Google

10.7.1. Company Overview

10.7.2. Key Executives

10.7.3. Operating Business Segments

10.7.4. Product Portfolio

10.7.5. Financial Performance (As per availability)

10.7.6. Key News


10.8 Intel

10.8.1. Company Overview

10.8.2. Key Executives

10.8.3. Operating Business Segments

10.8.4. Product Portfolio

10.8.5. Financial Performance (As per availability)

10.8.6. Key News


10.9 Micosoft

10.9.1. Company Overview

10.9.2. Key Executives

10.9.3. Operating Business Segments

10.9.4. Product Portfolio

10.9.5. Financial Performance (As per availability)

10.9.6. Key News


10.10 Oracle

10.10.1. Company Overview

10.10.2. Key Executives

10.10.3. Operating Business Segments

10.10.4. Product Portfolio

10.10.5. Financial Performance (As per availability)

10.10.6. Key News


10.11 Salesforce

10.11.1. Company Overview

10.11.2. Key Executives

10.11.3. Operating Business Segments

10.11.4. Product Portfolio

10.11.5. Financial Performance (As per availability)

10.11.6. Key News


10.12 SAP

10.12.1. Company Overview

10.12.2. Key Executives

10.12.3. Operating Business Segments

10.12.4. Product Portfolio

10.12.5. Financial Performance (As per availability)

10.12.6. Key News


10.13 Adobe Target

10.13.1. Company Overview

10.13.2. Key Executives

10.13.3. Operating Business Segments

10.13.4. Product Portfolio

10.13.5. Financial Performance (As per availability)

10.13.6. Key News


10.14  Salesforce Einstein

10.14.1. Company Overview

10.14.2. Key Executives

10.14.3. Operating Business Segments

10.14.4. Product Portfolio

10.14.5. Financial Performance (As per availability)

10.14.6. Key News


10.15 IBM Watson Customer Engagement

10.15.1. Company Overview

10.15.2. Key Executives

10.15.3. Operating Business Segments

10.15.4. Product Portfolio

10.15.5. Financial Performance (As per availability)

10.15.6. Key News


10.16 Oracle Marketing Cloud

10.16.1. Company Overview

10.16.2. Key Executives

10.16.3. Operating Business Segments

10.16.4. Product Portfolio

10.16.5. Financial Performance (As per availability)

10.16.6. Key News


10.17 SAP Customer Data Cloud

10.17.1. Company Overview

10.17.2. Key Executives

10.17.3. Operating Business Segments

10.17.4. Product Portfolio

10.17.5. Financial Performance (As per availability)

10.17.6. Key News


10.18 Microsoft Dynamics 365 Customer Insights

10.18.1. Company Overview

10.18.2. Key Executives

10.18.3. Operating Business Segments

10.18.4. Product Portfolio

10.18.5. Financial Performance (As per availability)

10.18.6. Key News


10.19 Adobe Sensei

10.19.1. Company Overview

10.19.2. Key Executives

10.19.3. Operating Business Segments

10.19.4. Product Portfolio

10.19.5. Financial Performance (As per availability)

10.19.6. Key News


10.20 Google Cloud AI

10.20.1. Company Overview

10.20.2. Key Executives

10.20.3. Operating Business Segments

10.20.4. Product Portfolio

10.20.5. Financial Performance (As per availability)

10.20.6. Key News


10.21 IBM Watson AI

10.21.1. Company Overview

10.21.2. Key Executives

10.21.3. Operating Business Segments

10.21.4. Product Portfolio

10.21.5. Financial Performance (As per availability)

10.21.6. Key News


10.22 Microsoft Azure Cognitive Services

10.22.1. Company Overview

10.22.2. Key Executives.

10.22.3. Operating Business Segments

10.22.4. Product Portfolio

10.22.5. Financial Performance (As per availability)

10.22.6. Key News

Global Artificial Intelligence in Personalized Marketing Market Segmentation

Artificial Intelligence in Personalized Marketing by Target Audience: Market Size & Forecast 2023-2032

  • B2B
  • B2C

Artificial Intelligence in Personalized Marketing by Industry: Market Size & Forecast 2023-2032

  • Retail
  • E-commerce
  • Financial Services
  • Healthcare

Artificial Intelligence in Personalized Marketing by Market Channel: Market Size & Forecast 2023-2032

  • Email marketing
  • Social media marketing
  • Website marketing
  • Mobile marketing

Artificial Intelligence in Personalized Marketing by Application: Market Size & Forecast 2023-2032

  • Product Recommendation
  • Targeted Audience
  • Chatbots
  • Dynamic Pricing
  • Fraud detection

Artificial Intelligence in Personalized Marketing by Geography: Market Size & Forecast 2023-2032

  • North America (USA, Canada, Mexico)
  • Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
  • Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
  • South America (Brazil, Argentina, Columbia, Rest of South America)
  • Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)

Major Players:

  • Adobe
  • Facebook
  • Amazon
  • Apple
  • IBM
  • Google
  • Intel
  • Microsoft
  • Oracle
  • Salesforce
  • SAP
  • Adobe Target
  • Salesforce Einstein
  • IBM Watson Customer Engagement
  • Oracle Marketing Cloud
  • SAP Customer Data Cloud
  • Adobe Sensei
  • Google Cloud AI
  • IBM Watson AI
  • Microsoft Azure Cognitive Services

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