查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1718130

基于人工智慧的个人化市场（按服务提供、技术和最终用户产业）—2025 年至 2030 年全球预测

Artificial Intelligence based Personalization Market by Offerings, Technology, End User Industry - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 183 Pages | 商品交期: 最快1-2个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

预计2024年基于人工智慧的个人化市场价值将达到2624.7亿美元，到2025年将成长至2998.4亿美元，复合年增长率为15.15%，到2030年将达到6119.4亿美元。

主要市场统计数据
基准年2024年 2624.7亿美元
预计2025年 2998.4亿美元
预测年份 2030 6119.4亿美元
复合年增长率（%） 15.15%

人工智慧驱动的个人化正在重塑企业与目标受众互动的方式。在当今竞争激烈的环境中，企业正在利用先进的分析和机器学习技术来创造客製化体验，以推动客户参与、转换和持久关係。本报告深入探讨了个人化策略的演变，并揭示了人工智慧如何从一个未来概念转变为各行各业都在采用的核心业务必要事项。

探索个人化的转型之旅，从早期的基本细分和基本数据驱动洞察，到当前动态、情境感知体验处于数位行销工作前沿的时代。个人化策略中人工智慧的采用不仅能够实现即时决策，还能更直观地了解个人客户的需求。透过概述重塑数位格局的主要趋势、市场动态和策略要务，本执行摘要奠定了基础，为寻求驾驭和利用这些技术进步的决策者提供了全面的概述。

基于人工智慧的个人化市场转型

近年来，由于人工智慧和数据分析的快速发展，个人化环境发生了巨大变化。复杂演算法的出现和机器学习的整合开创了一个新时代，在这个时代，客户互动由自适应、高度客製化的数位体验定义。

越来越多的组织开始利用人工智慧的力量，摆脱传统的一刀切方法。这种转变体现在动态内容创建、即时数据分析和预测模型的广泛采用。随着公司投资于能让他们从细微层面了解消费者行为的技术，重点正从基本的人口统计细分转向更细緻、更具情境性的个人化。这种模式转移不仅提高了客户参与，还可以帮助企业透过专注于带来最佳回报的管道和平台来优化行销支出。

数位转型导致了跨职能团队的出现，其中行销、IT 和数据分析共同努力重塑客户旅程。在这种环境下，利用大量资料的能力，加上人工智慧提取可操作见解的能力，已成为策略规划的关键。新的格局体现在对顾客意图的认识增强、对使用者旅程的理解更加流畅、以及对即时提供个人化体验的不懈追求。在快速发展的市场中，技术与策略之间的相互作用对于竞争差异化从未如此重要。

推动个人化的关键细分洞察

仔细观察人工智慧主导的个人化，可以从各种细分视角检验市场，从而发现关键见解。首先，基于服务产品的细分凸显了重新定义客户参与动态的广泛解决方案。根据分析，行为定位、聊天机器人和虚拟助理、展示广告个人化、电子邮件个人化、个人化内容创建、预测分析、社群媒体个人化和网站个人化等服务在增强企业与目标受众互动方式方面发挥关键作用。

此外，从技术角度看待市场可以提供不同的理解维度，其中协同过滤、电脑视觉、深度学习、机器学习演算法、自然语言处理、预测分析和强化学习等技术处于创新的前沿。这些技术应用使组织能够更好地预测客户行为并根据即时数据洞察客製化互动。

最后，最终用户产业细分为在个人化方面投入巨资的产业提供了清晰的观点。汽车、银行、金融服务和保险 (BFSI)、电子商务和零售、医疗保健、媒体和娱乐、零售和电子商务、通讯、旅游和酒店等行业越来越依赖先进的个人化技术。有针对性的提案、最尖端科技和特定产业应用的相互作用凸显了人工智慧在企业努力实现更有意义的客户参与时所带来的全面转型。

目录

第一章 引言

第二章调查方法

第三章执行摘要

第四章 市场概述

第五章 市场洞察

  • 市场动态
    • 驱动程式
      • 消费者对高度个人化体验的需求不断增加
      • 全球范围内云端运算和可扩展基础设施的采用率不断提高
      • 对行动技术和广泛互联网连接的需求激增
    • 限制因素
      • 实施强大的人工智慧基础设施需要大量的资本和营运成本
    • 机会
      • 将先进的人工智慧策略融入数位行销
      • 投资和资金激增推动个人化技术创新
    • 任务
      • 将人工智慧系统整合到现有传统IT基础设施基础设施中的技术障碍
  • 市场区隔分析
    • 功能：利用先进的人工智慧和预测分析功能来创建个人化的电子邮件体验
    • 终端用户产业：客製化车载系统越来越多地采用先进的机器学习技术
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会
    • 技术的
    • 合法的
    • 环境

第六章基于人工智慧的个人化市场（按产品）

  • 行为定位
  • 聊天机器人和虚拟助手
  • 展示广告个人化
  • 电子邮件个人化
  • 创建个人化内容
  • 预测分析
  • 社群媒体个人化
  • 网站个人化

7. 基于人工智慧的个人化市场（按技术）

  • 协同过滤
  • 电脑视觉
  • 深度学习
  • 机器学习演算法
  • 自然语言处理
  • 预测分析
  • 强化学习

第八章基于人工智慧的个人化市场（按最终用户产业）

  • 车
  • 银行、金融服务和保险（BFSI）
  • 电子商务与零售
  • 卫生保健
  • 媒体与娱乐
  • 零售与电子商务
  • 通讯
  • 旅游与饭店

9.美洲基于人工智慧的个人化市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第十章亚太地区基于人工智慧的个人化市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

11. 欧洲、中东和非洲基于人工智慧的个人化市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十二章竞争格局

  • 2024年市场占有率分析
  • 2024年FPNV定位矩阵
  • 竞争情境分析
  • 战略分析与建议

公司名单

  • ABB Ltd.
  • Abmatic AI, Inc
  • Accenture PLC
  • Adobe Inc.
  • AIContentfy
  • Amazon Web Services Inc.
  • Apple, Inc.
  • Braze, Inc.
  • Check Point Software Technologies,
  • Cisco Systems Inc.
  • Gen Digital Inc.
  • Google LLC by Alphabet Inc.
  • Hewlett Packard Enterprise Development LP
  • Intel Corporation
  • International Business Machines Corporation
  • Kyndryl Inc.
  • Microsoft Corporation
  • NEC Corporation
  • NVIDIA Corporation
  • Optimizely by Episerver
  • Oracle Corporation
  • Salesforce, Inc
  • SAP SE
  • Siemens AG
  • Simplify360 Inc.
Product Code: MRR-351BAD503A0C

The Artificial Intelligence based Personalization Market was valued at USD 262.47 billion in 2024 and is projected to grow to USD 299.84 billion in 2025, with a CAGR of 15.15%, reaching USD 611.94 billion by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 262.47 billion
Estimated Year [2025] USD 299.84 billion
Forecast Year [2030] USD 611.94 billion
CAGR (%) 15.15%

Artificial Intelligence powered personalization is reshaping the way businesses interact with their target audiences. In today's competitive environment, organizations are leveraging advanced analytics and machine learning techniques to create tailored experiences that drive engagement, conversions, and lasting relationships with customers. This report opens with a deep dive into the evolution of personalization strategies, highlighting how AI has transitioned from a futuristic concept to a core business imperative embraced across multiple industries.

Our narrative explores the transformative journey of personalization, beginning with the early days of basic segmentation and rudimentary data-driven insights, to the current era where dynamic, context-aware experiences are at the forefront of digital marketing initiatives. The adoption of AI in personalization strategies has not only enabled real-time decision-making but also brought about a more intuitive understanding of individual customer needs. This executive summary sets the stage by outlining key trends, market dynamics, and strategic imperatives that are reshaping the digital landscape, offering a comprehensive overview to decision-makers looking to navigate and leverage these technological advances.

Transformative Shifts in the Digital Landscape

In recent years, the personalization landscape has experienced transformative shifts driven largely by rapid advancements in artificial intelligence and data analytics. The emergence of sophisticated algorithms and the integration of machine learning have culminated in a new era where customer interaction is defined by adaptive and highly customized digital experiences.

Organizations are increasingly embracing the capabilities of AI to move beyond traditional, one-size-fits-all approaches. This change is evident in the widespread adoption of dynamic content creation, real-time data analysis, and predictive modeling. As businesses invest in technology capable of understanding consumer behavior on a granular level, the focus has shifted from basic demographic segmentation to nuanced, context-sensitive personalization. This paradigm shift not only enhances customer engagement but also helps companies optimize their marketing spend by focusing on channels and platforms that yield the best returns.

The digital transformation has led to the emergence of cross-functional teams where marketing, IT, and data analytics work in tandem to reimagine customer journeys. In this environment, the ability to harness vast amounts of data, coupled with AI's proficiency in distilling actionable insights, has become a cornerstone of strategic planning. The new landscape is defined by a heightened awareness of customer intent, a more fluid understanding of user journeys, and a relentless pursuit of delivering personalized experiences in real time. The interplay between technology and strategy is now more critical than ever in creating competitive differentiation in a rapidly evolving market.

Key Segmentation Insights Driving Personalization

An in-depth analysis of AI-driven personalization reveals significant insights when examining the market through diverse segmentation lenses. First, the segmentation based on offerings emphasizes a broad spectrum of solutions that are redefining customer engagement dynamics. Analysis indicates that offerings such as Behavioral Targeting, Chatbots & Virtual Assistants, Display Ads Personalization, Email Personalization, Personalized Content Creation, Predictive Analytics, Social Media Personalization, and Website Personalization are playing pivotal roles in enhancing how businesses interact with their target audiences.

Furthermore, viewing the market based on technology offers a different dimension of understanding where methodologies like Collaborative Filtering, Computer Vision, Deep Learning, Machine Learning Algorithms, Natural Language Processing, Predictive Analytics, and Reinforcement Learning are at the forefront of innovation. These technological applications empower organizations to predict customer behavior more accurately and tailor interactions based on real-time data insights.

Lastly, the end user industry segmentation provides a clear perspective on the sectors making substantial investments in personalization. Industries spanning Automotive, Banking, Financial Services & Insurance (BFSI), E-commerce & Retail, Healthcare, Media & Entertainment, Retail & E-commerce, Telecommunications, and Travel & Hospitality are increasingly relying on advanced personalization techniques. The interplay between targeted offerings, cutting-edge technology, and industry-specific applications underlines the comprehensive transformation brought by AI as companies strive for more meaningful customer engagements.

Based on Offerings, market is studied across Behavioral Targeting, Chatbots & Virtual Assistants, Display Ads Personalization, Email Personalization, Personalized Content Creation, Predictive Analytics, Social Media Personalization, and Website Personalization.

Based on Technology, market is studied across Collaborative Filtering, Computer Vision, Deep Learning, Machine Learning Algorithms, Natural Language Processing, Predictive Analytics, and Reinforcement Learning.

Based on End User Industry, market is studied across Automotive, Banking, Financial Services & Insurance (BFSI), E-commerce & Retail, Healthcare, Media & Entertainment, Retail & E-commerce, Telecommunications, and Travel & Hospitality.

Key Regional Insights Shaping Market Trends

Regional analysis offers an insightful perspective into the varied pace of AI adoption across global markets. In the Americas, the ecosystem has been quick to integrate AI-powered personalization into mainstream business processes, buoyed by high digital penetration and innovation-driven economies. Market initiatives are often characterized by aggressive investments in technology infrastructure and strategic collaborations aimed at rapid digital transformation.

Across Europe, the Middle East & Africa, companies are increasingly recognizing the strategic importance of personalization. Here, regulatory frameworks and consumer awareness drive a balanced approach, integrating ethical data usage with innovative personalization tactics. Despite regional nuances, businesses within this zone are harnessing localized data insights to develop culturally relevant digital experiences.

The Asia-Pacific region, known for its rapid technological adoption and expansive digital markets, reflects a dynamic integration of AI solutions in personalization strategies. The blend of emerging digital technologies with increasing mobile penetration has created an environment ripe for personalized engagements. These regional insights collectively highlight the importance of tailoring strategies that reflect local market conditions, consumer behavior, and regulatory landscapes.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Key Companies Influencing the AI Personalization Sphere

The market is witnessing significant contributions from leading technology and consulting firms that are setting benchmarks in AI-driven personalization. Notable industry leaders include ABB Ltd., Abmatic AI, Inc, Accenture PLC, Adobe Inc., AIContentfy, Amazon Web Services Inc., Apple, Inc., Braze, Inc., Check Point Software Technologies, Cisco Systems Inc., Gen Digital Inc., Google LLC by Alphabet Inc., Hewlett Packard Enterprise Development LP, Intel Corporation, International Business Machines Corporation, Kyndryl Inc., Microsoft Corporation, NEC Corporation, NVIDIA Corporation, Optimizely by Episerver, Oracle Corporation, Salesforce, Inc, SAP SE, Siemens AG, and Simplify360 Inc. These companies are investing heavily in research and development, forging strategic partnerships, and innovating at scale to redefine the future of personalized digital experiences.

Their contributions range from developing state-of-the-art machine learning algorithms to deploying robust cloud-based services that support the integration of complex personalization engines. Such innovative strides have not only improved the efficiency of personalization solutions but have also paved the way for next-generation applications that combine data science with customer-centric strategies. The collaboration between industry giants and niche players continues to drive forward the competitive landscape, ensuring that businesses have access to reliable, scalable, and cutting-edge personalization tools.

The report delves into recent significant developments in the Artificial Intelligence based Personalization Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., Abmatic AI, Inc, Accenture PLC, Adobe Inc., AIContentfy, Amazon Web Services Inc., Apple, Inc., Braze, Inc., Check Point Software Technologies,, Cisco Systems Inc., Gen Digital Inc., Google LLC by Alphabet Inc., Hewlett Packard Enterprise Development LP, Intel Corporation, International Business Machines Corporation, Kyndryl Inc., Microsoft Corporation, NEC Corporation, NVIDIA Corporation, Optimizely by Episerver, Oracle Corporation, Salesforce, Inc, SAP SE, Siemens AG, and Simplify360 Inc.. Actionable Recommendations for Industry Leaders

To capitalize on the transformative opportunities of AI-powered personalization, industry leaders must adopt a forward-thinking approach that blends strategic insight with technological proficiency. First, invest in scalable AI infrastructure that not only supports current business needs but is capable of evolving with emerging trends. Integrate multidisciplinary teams that combine data scientists, strategists, technology experts, and creative thinkers to foster an environment of innovation.

Second, prioritize data governance and ethical AI practices to build trust with consumers while ensuring compliance with local and international regulations. Leaders should implement robust data management frameworks that safeguard privacy without compromising on the ability to derive actionable insights.

Third, embrace a customer-first mindset by continuously refining personalization strategies. Leverage advanced analytics to monitor and adapt to customer behavior in real time, and be prepared to pivot strategies based on shifting market dynamics. Engage in strategic partnerships with technology providers and research institutions to remain at the forefront of innovation, ensuring that your personalization efforts remain competitive and future-ready.

Conclusion: Embracing the Future of Personalized Experiences

In conclusion, the evolution of artificial intelligence based personalization represents a paradigm shift that is redefining how businesses interact with their audience. The landscape is marked by significant advancements in technology, evolving segmentation strategies, and diverse regional trends that together drive the momentum in personalized digital marketing. Organizations that effectively harness these insights and invest in innovative solutions will not only achieve improved customer satisfaction but also gain a competitive advantage in the market.

The integrated approach combining targeted offerings, sophisticated algorithms, and region-specific strategies underscores the necessity for businesses to remain agile and proactive. As AI continues to mature, the opportunities for delivering tailored experiences will expand, making it imperative for decision-makers to continuously monitor market trends and adopt a forward-looking stance.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Increasing consumer demand for highly personalized experiences
      • 5.1.1.2. Rising adoption of cloud computing and scalable infrastructure globally
      • 5.1.1.3. Surging demand of mobile technologies and widespread internet connectivity
    • 5.1.2. Restraints
      • 5.1.2.1. High capital investment and operating costs for robust AI infrastructure implementation
    • 5.1.3. Opportunities
      • 5.1.3.1. Integration of advanced artificial intelligence strategies into digital marketing
      • 5.1.3.2. Surging investments & funding to foster innovation in personalization technologies
    • 5.1.4. Challenges
      • 5.1.4.1. Technical hurdles in integrating AI systems with existing legacy IT infrastructure
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Offerings: Incraesing power of advanced AI and predictive analytics in crafting personalized email experiences
    • 5.2.2. End User Industry: Growing adoption of advanced machine learning techniques for tailored in-vehicle systems
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Artificial Intelligence based Personalization Market, by Offerings

  • 6.1. Introduction
  • 6.2. Behavioral Targeting
  • 6.3. Chatbots & Virtual Assistants
  • 6.4. Display Ads Personalization
  • 6.5. Email Personalization
  • 6.6. Personalized Content Creation
  • 6.7. Predictive Analytics
  • 6.8. Social Media Personalization
  • 6.9. Website Personalization

7. Artificial Intelligence based Personalization Market, by Technology

  • 7.1. Introduction
  • 7.2. Collaborative Filtering
  • 7.3. Computer Vision
  • 7.4. Deep Learning
  • 7.5. Machine Learning Algorithms
  • 7.6. Natural Language Processing
  • 7.7. Predictive Analytics
  • 7.8. Reinforcement Learning

8. Artificial Intelligence based Personalization Market, by End User Industry

  • 8.1. Introduction
  • 8.2. Automotive
  • 8.3. Banking, Financial Services & Insurance (BFSI)
  • 8.4. E-commerce & Retail
  • 8.5. Healthcare
  • 8.6. Media & Entertainment
  • 8.7. Retail & E-commerce
  • 8.8. Telecommunications
  • 8.9. Travel & Hospitality

9. Americas Artificial Intelligence based Personalization Market

  • 9.1. Introduction
  • 9.2. Argentina
  • 9.3. Brazil
  • 9.4. Canada
  • 9.5. Mexico
  • 9.6. United States

10. Asia-Pacific Artificial Intelligence based Personalization Market

  • 10.1. Introduction
  • 10.2. Australia
  • 10.3. China
  • 10.4. India
  • 10.5. Indonesia
  • 10.6. Japan
  • 10.7. Malaysia
  • 10.8. Philippines
  • 10.9. Singapore
  • 10.10. South Korea
  • 10.11. Taiwan
  • 10.12. Thailand
  • 10.13. Vietnam

11. Europe, Middle East & Africa Artificial Intelligence based Personalization Market

  • 11.1. Introduction
  • 11.2. Denmark
  • 11.3. Egypt
  • 11.4. Finland
  • 11.5. France
  • 11.6. Germany
  • 11.7. Israel
  • 11.8. Italy
  • 11.9. Netherlands
  • 11.10. Nigeria
  • 11.11. Norway
  • 11.12. Poland
  • 11.13. Qatar
  • 11.14. Russia
  • 11.15. Saudi Arabia
  • 11.16. South Africa
  • 11.17. Spain
  • 11.18. Sweden
  • 11.19. Switzerland
  • 11.20. Turkey
  • 11.21. United Arab Emirates
  • 11.22. United Kingdom

12. Competitive Landscape

  • 12.1. Market Share Analysis, 2024
  • 12.2. FPNV Positioning Matrix, 2024
  • 12.3. Competitive Scenario Analysis
    • 12.3.1. MongoDB acquires Voyage AI to enable organizations to build trustworthy AI applications
    • 12.3.2. SalesboxAI's innovative AI-powered agents transform B2B sales by uniting anonymous site visits
    • 12.3.3. Appier acquires AdCreative.ai to enhance generative AI personalization
    • 12.3.4. Stellantis to Enhance Personalized Mobility Experience with Acquisition of CloudMade's Artificial Intelligence Technologies and IP
    • 12.3.5. Zoovu Unveils Generative AI Solution to Provide Personalized Buying Experiences
    • 12.3.6. Intent HQ Merges with Anagog to Advance Generative AI for Personal Relevance
  • 12.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. ABB Ltd.
  • 2. Abmatic AI, Inc
  • 3. Accenture PLC
  • 4. Adobe Inc.
  • 5. AIContentfy
  • 6. Amazon Web Services Inc.
  • 7. Apple, Inc.
  • 8. Braze, Inc.
  • 9. Check Point Software Technologies,
  • 10. Cisco Systems Inc.
  • 11. Gen Digital Inc.
  • 12. Google LLC by Alphabet Inc.
  • 13. Hewlett Packard Enterprise Development LP
  • 14. Intel Corporation
  • 15. International Business Machines Corporation
  • 16. Kyndryl Inc.
  • 17. Microsoft Corporation
  • 18. NEC Corporation
  • 19. NVIDIA Corporation
  • 20. Optimizely by Episerver
  • 21. Oracle Corporation
  • 22. Salesforce, Inc
  • 23. SAP SE
  • 24. Siemens AG
  • 25. Simplify360 Inc.

LIST OF FIGURES

  • FIGURE 1. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET MULTI-CURRENCY
  • FIGURE 2. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET MULTI-LANGUAGE
  • FIGURE 3. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET RESEARCH PROCESS
  • FIGURE 4. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, 2024 VS 2030
  • FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2024 VS 2030 (%)
  • FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2024 VS 2030 (%)
  • FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2024 VS 2030 (%)
  • FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 14. AMERICAS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 15. AMERICAS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 16. UNITED STATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 17. UNITED STATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 18. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 19. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 20. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 22. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 23. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET DYNAMICS
  • TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY BEHAVIORAL TARGETING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY CHATBOTS & VIRTUAL ASSISTANTS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY DISPLAY ADS PERSONALIZATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY EMAIL PERSONALIZATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY PERSONALIZED CONTENT CREATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY SOCIAL MEDIA PERSONALIZATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY WEBSITE PERSONALIZATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COLLABORATIVE FILTERING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY REINFORCEMENT LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY BANKING, FINANCIAL SERVICES & INSURANCE (BFSI), BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY E-COMMERCE & RETAIL, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY MEDIA & ENTERTAINMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY RETAIL & E-COMMERCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TELECOMMUNICATIONS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TRAVEL & HOSPITALITY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 33. AMERICAS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 34. AMERICAS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 35. AMERICAS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 36. AMERICAS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 37. ARGENTINA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 38. ARGENTINA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 39. ARGENTINA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 40. BRAZIL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 41. BRAZIL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 42. BRAZIL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 43. CANADA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 44. CANADA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 45. CANADA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 46. MEXICO ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 47. MEXICO ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 48. MEXICO ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 49. UNITED STATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 50. UNITED STATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 51. UNITED STATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 52. UNITED STATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 53. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 54. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 55. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 56. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 57. AUSTRALIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 58. AUSTRALIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 59. AUSTRALIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 60. CHINA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 61. CHINA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 62. CHINA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 63. INDIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 64. INDIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 65. INDIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 66. INDONESIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 67. INDONESIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 68. INDONESIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 69. JAPAN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 70. JAPAN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 71. JAPAN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 72. MALAYSIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 73. MALAYSIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 74. MALAYSIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 75. PHILIPPINES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 76. PHILIPPINES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 77. PHILIPPINES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 78. SINGAPORE ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 79. SINGAPORE ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 80. SINGAPORE ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 81. SOUTH KOREA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 82. SOUTH KOREA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 83. SOUTH KOREA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 84. TAIWAN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 85. TAIWAN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 86. TAIWAN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 87. THAILAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 88. THAILAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 89. THAILAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 90. VIETNAM ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 91. VIETNAM ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 92. VIETNAM ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 93. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 94. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 95. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 96. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 97. DENMARK ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 98. DENMARK ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 99. DENMARK ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 100. EGYPT ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 101. EGYPT ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 102. EGYPT ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 103. FINLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 104. FINLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 105. FINLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 106. FRANCE ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 107. FRANCE ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 108. FRANCE ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 109. GERMANY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 110. GERMANY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 111. GERMANY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 112. ISRAEL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 113. ISRAEL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 114. ISRAEL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 115. ITALY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 116. ITALY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 117. ITALY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 118. NETHERLANDS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 119. NETHERLANDS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 120. NETHERLANDS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 121. NIGERIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 122. NIGERIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 123. NIGERIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 124. NORWAY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 125. NORWAY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 126. NORWAY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 127. POLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 128. POLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 129. POLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 130. QATAR ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 131. QATAR ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 132. QATAR ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 133. RUSSIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 134. RUSSIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 135. RUSSIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 136. SAUDI ARABIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 137. SAUDI ARABIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 138. SAUDI ARABIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 139. SOUTH AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 140. SOUTH AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 141. SOUTH AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 142. SPAIN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 143. SPAIN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 144. SPAIN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 145. SWEDEN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 146. SWEDEN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 147. SWEDEN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 148. SWITZERLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 149. SWITZERLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 150. SWITZERLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 151. TURKEY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 152. TURKEY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 153. TURKEY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 154. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 155. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 156. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 157. UNITED KINGDOM ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY OFFERINGS, 2018-2030 (USD MILLION)
  • TABLE 158. UNITED KINGDOM ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 159. UNITED KINGDOM ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
  • TABLE 160. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SHARE, BY KEY PLAYER, 2024
  • TABLE 161. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET, FPNV POSITIONING MATRIX, 2024