行销市场中的人工智慧：2025-2032 年全球预测（按技术、应用、部署、组织规模和产业）

预计到 2032 年，行销人工智慧市场规模将成长至 572.9 亿美元，复合年增长率为 19.42%。

对人工智慧作为行销绩效策略加速器的权威介绍，强调管治和生态系统考虑

人工智慧在行销职能领域的加速整合正在重塑企业吸引、互动和留住客户的方式。本介绍将人工智慧在行销中的定位为策略赋能者而非单点解决方案，并强调其在提升个人化、优化媒体投资以及自动化创新和营运工作流程方面所发挥的作用。将人工智慧定位为一系列能力和实践，可以帮助领导者摆脱试点疲劳，迈向可扩展的方案，从而在效率和客户相关性方面实现可衡量的提升。

机器感知、自然语言理解和预测分析领域的最新进展正在拓展人工智慧能够解决的行销问题范围。这些能力现在已融入程序化广告、内容创作、对话式体验和衡量框架，使行销人员能够从基于规则的任务转向以结果为导向的编配。因此，采用严格管治和跨职能营运模式的组织更有能力将实验成功转化为持续的商业性回报。

引言也强调了生态系统思维的重要性。供应商、创新合作伙伴、数据提供商以及云端和硬体供应商都会影响人工智慧应用的速度和永续性。因此，高阶主管必须在自身能力投资与策略伙伴关係之间取得平衡，并确保管治、人才发展和技术蓝图与不断变化的消费者期望和法规环境保持一致。

前瞻性分析人工智慧驱动的个人化、综合测量和生成性创新如何重新定义行销营运和管治要求

随着人工智慧从一项小众实验发展成为一项贯穿整个客户生命週期的营运能力，行销正经历一波变革浪潮。最显着的变化之一是从静态细分转向持续的、由人工智慧主导的个人化，这种个人化能够根据消费者讯号和情境数据近乎即时地调整通讯和创新。这能够实现更大规模、更相关的互动，并重新定义品牌对客户旅程和终身价值的理解。

另一个重大转变是围绕着统一资料架构和事件驱动架构的测量和最佳化融合。人工智慧驱动的归因和增量建模正在取代传统的启发式方法，使行销人员能够更准确地分配支出，并以可衡量的投资回报率为重点进行创新迭代。此外，透过内建 API 和低程式码平台实现人工智慧的民主化，正在拉平存取曲线，使规模更小的团队也能采用高级功能，同时也提高了供应商选择和整合规范的重要性。

同时，创新製作也在不断发展，生成技术能够快速製作文案、图片和影片的原型製作。虽然这加快了宣传活动的上市时间，但也引发了有关品牌一致性、智慧财产权管理和道德规范的问题。最后，隐私和监管发展与人工智慧能力的成熟交织在一起，迫使人们重新评估资料策略、同意管理和跨境营运。这种转变要求行销领导者投资于人才、管治和基础设施，以有效且负责任地利用人工智慧。

美国近期关税如何重塑整个行销生态系统的人工智慧基础设施采购、供应商采购和资料驻留决策的策略分析。

近期关税变化的累积影响源自于美国2025年贸易政策，这为行销技术和基础设施提供者的成本结构和营运计画带来了新的变数。与关税相关的摩擦正在影响支援资料中心和边缘运算的硬体供应链，影响到支援大规模人工智慧工作负载的GPU、专用加速器和网路设备的可用性和成本。这些压力正层层递进地影响云端服务供应商、系统整合商和依赖硬体的供应商，促使他们重新协商筹资策略，并延长关键零件的前置作业时间。

除了硬体之外，关税还影响跨境软体授权、供应商伙伴关係以及创新製作外包的经济效益。依赖全球创新工厂和拥有跨国供应链的广告技术堆迭的行销机构正在重新评估其采购模式，以降低关税风险和延迟风险。这种重新评估通常会导致他们更倾向于选择区域供应商和配套服务协议，从而将关税复杂性内部化，并降低关税波动带来的风险。

资费波动也会影响资料管治和合规性，促使企业考虑在境内部署和託管在不同司法管辖区的云端基础服务之间进行权衡。一些公司正在加速工作负载细分，将敏感资料和核心推理系统保留在其首选区域，同时将非敏感工作流程迁移到成本较低的区域。整体而言，这些调整强化了弹性架构、供应商多元化和情境规划的重要性。因此，行销领导者应将贸易政策考量纳入采购、供应商风险评估和总拥有成本 (TCO) 讨论中，以保持宣传活动规划和技术蓝图的灵活性。

全面的細項分析，将技术、应用程式、部署选项、组织概况和行业垂直领域与策略性 AI 行销重点进行映射

细分驱动的洞察揭示了人工智慧投资的重点以及能力选择如何映射到行销目标。按技术领域划分，该领域涵盖电脑视觉、资料分析、深度学习、机器学习和自然语言处理。在电脑视觉领域，影像识别和影片分析可实现自动资产分类和场景理解，从而改善广告定位和内容审核。资料分析分为说明、预测性分析和规范性分析，每种分析都支援增量规范性宣传活动行动。深度学习包括卷积神经网路、生成矛盾神经网路和卷积类神经网路神经网络，它们是影像生成、序列建模和创新合成的基础。机器学习包含强化学习、监督学习和无监督学习，可优化竞标策略、反应预测和新兴受众发现。自然语言处理涵盖语言翻译、情绪分析和文本生成，为多语言内容、品牌健康监测和自动副本创建提供支援。

目录

第一章：前言

第二章调查方法

第三章执行摘要

第四章 市场概况

第五章 市场洞察

• 人工智慧模型可大规模产生动态、个人化的广告创新，以提高参与度
• 将即时、人工智慧情绪分析融入社交聆听，实现主动参与。
• 基于人工智慧的自动化宣传活动预算分配和最佳化，使用强化学习
• 使用人工智慧驱动的预测分析和触发器进行个人化的全通路客户旅程编配
• 可解释的人工智慧工具可实现透明的营销决策并遵守新法规
• 人工智慧虚拟品牌大使透过元宇宙和 AR 管道提供身临其境型体验
• 人工智慧驱动的预测性案源计分与基于帐户的动态行销工作流程和洞察相结合
• 利用对话式人工智慧平台进行语音搜寻优化与对话式商务策略
• 透过结合文字、图像和影片个人化的多模态AI 内容生成来增强客户参与
• 联邦学习和差异隐私等保护隐私的人工智慧技术，用于保障客户资料安全

第六章：2025年美国关税的累积影响

第七章：人工智慧的累积影响，2025年

第 8 章：人工智慧在行销市场的应用（按技术）

• 电脑视觉
  • 影像识别
  • 影片分析
• 数据分析
  • 说明分析
  • 预测分析
  • 指示性分析
• 深度学习
  • 卷积类神经网路
  • 生成对抗网络
  • 循环神经网络
• 机器学习
  • 强化学习
  • 监督学习
  • 无监督学习
• 自然语言处理
  • 语言翻译
  • 情绪分析
  • 文字生成

第九章人工智慧在行销市场的应用

• 广告个人化
  • 动态创新优化
  • 即时竞价
• 宣传活动管理
  • 电子邮件宣传活动管理
  • 社群媒体宣传活动管理
• 聊天机器人
  • 人工智慧聊天机器人
  • 基于规则的聊天机器人
• 内容生成
  • 自动文案
  • 影像生成
  • 影片生成
• 客户区隔
  • 行为细分
  • 人口细分
  • 心理细分
• 潜在客户开发
  • 自动推广
  • 预测案源计分

第十章 行销市场中的人工智慧（按部署）

• 云
• 本地部署

第 11 章行销市场中的人工智慧（按组织规模）

• 大公司
• 小型企业

第 12 章：人工智慧在行销市场的垂直应用

• BFSI
• 卫生保健
• 资讯科技和通讯
• 製造业
  • 车
  • 家电
  • 工业製造
• 媒体和娱乐
  • 游戏
  • 发布
  • 串流媒体服务
• 零售

第十三章 行销市场中的人工智慧（按地区）

• 美洲
  • 北美洲
  • 拉丁美洲
• 欧洲、中东和非洲
  • 欧洲
  • 中东
  • 非洲
• 亚太地区

第 14 章 行销市场中的人工智慧（按类别）

• ASEAN
• GCC
• EU
• BRICS
• G7
• NATO

第十五章 各国行销市场中的人工智慧

• 美国
• 加拿大
• 墨西哥
• 巴西
• 英国
• 德国
• 法国
• 俄罗斯
• 义大利
• 西班牙
• 中国
• 印度
• 日本
• 澳洲
• 韩国

第十六章竞争格局

• 2024年市占率分析
• 2024年FPNV定位矩阵
• 竞争分析
  • salesforce.com, inc.
  • Adobe Inc.
  • Oracle Corporation
  • International Business Machines Corporation
  • Microsoft Corporation
  • SAP SE
  • Amazon.com, Inc.
  • Alphabet Inc.
  • SAS Institute Inc.
  • HubSpot, Inc.

The Artificial Intelligence in Marketing Market is projected to grow by USD 57.29 billion at a CAGR of 19.42% by 2032.

An authoritative introduction that positions artificial intelligence as a strategic accelerator for marketing performance while highlighting governance and ecosystem considerations

The accelerating integration of artificial intelligence across marketing functions is reshaping how organizations attract, engage, and retain customers. This introduction frames AI in marketing as a strategic enabler rather than a point solution, emphasizing its role in elevating personalization, optimizing media investments, and automating creative and operational workflows. By positioning AI as both a capability and a set of practices, leaders can move beyond pilot fatigue toward scalable programs that deliver measurable improvements in efficiency and customer relevance.

Recent advances in machine perception, natural language understanding, and predictive analytics have broadened the set of marketing problems that AI can address. These capabilities are now embedded across programmatic advertising, content production, conversational experiences, and measurement frameworks, enabling marketers to shift from rule-based tasks to outcome-driven orchestration. As a result, organizations that adopt rigorous governance and cross-functional operating models are better equipped to translate experimental wins into consistent commercial returns.

This introduction also underscores the importance of ecosystem thinking. Vendors, creative partners, data providers, and cloud and hardware suppliers each influence the velocity and sustainability of AI adoption. Consequently, executives must balance investment in proprietary capabilities with strategic partnerships, ensuring that governance, talent development, and technology roadmaps remain aligned with evolving consumer expectations and regulatory environments.

A forward-looking analysis of how AI-driven personalization, unified measurement, and generative creative are redefining marketing operations and governance requirements

Marketing is undergoing a wave of transformative shifts as AI moves from niche experimentation to operationalized capability across the customer lifecycle. One of the most visible shifts is the transition from static segmentation to continuous, AI-driven personalization that adjusts messaging and creative in near real time based on signals from consumers and contextual data. This enables more relevant interactions at scale and redefines how brands think about customer journeys and lifetime value.

Another major shift is the consolidation of measurement and optimization around unified data fabrics and event-driven architectures. AI-powered attribution and incrementality modeling are replacing legacy heuristics, empowering marketers to allocate spend more precisely and to iterate creative with measurable ROI focus. Moreover, the democratization of AI through prebuilt APIs and low-code platforms is flattening the access curve, allowing smaller teams to deploy sophisticated capabilities while increasing the importance of vendor selection and integration discipline.

Simultaneously, creative production is evolving as generative methods enable rapid prototyping of copy, imagery, and video. This reduces time-to-market for campaigns but also raises questions about brand consistency, IP management, and ethical guardrails. Finally, privacy and regulatory developments are intersecting with AI capability maturation, forcing a re-evaluation of data strategies, consent management, and cross-border operations. Together, these shifts demand that marketing leaders invest in talent, governance, and infrastructure to harness AI effectively and responsibly.

A strategic analysis of how recent United States tariff measures are reshaping AI infrastructure procurement, vendor sourcing, and data residency decisions across marketing ecosystems

The cumulative impact of recent tariff developments originating from United States trade policy in 2025 has introduced new variables into the cost structures and operational plans of marketing technology and infrastructure providers. Tariff-related friction affects hardware supply chains that underpin data centers and edge computing, influencing the availability and cost of GPUs, specialized accelerators, and networking equipment that power large-scale AI workloads. These pressures cascade to cloud service providers, systems integrators, and hardware-dependent vendors, prompting re-negotiations of procurement strategies and longer lead times for critical components.

Beyond hardware, tariffs influence the economics of cross-border software licensing, vendor partnerships, and outsourced creative production. Marketing organizations that rely on global creative factories or ad tech stacks with multinational supply chains are reassessing sourcing models to mitigate duty exposure and latency risk. This reassessment often leads to a preference for regional suppliers or bundled service agreements that internalize customs complexity and reduce exposure to tariff volatility.

Tariff dynamics also interact with data governance and compliance, as companies weigh the trade-offs between onshore deployments and cloud-based offerings hosted in different jurisdictions. Some enterprises are accelerating segmentation of workloads to keep sensitive data and core inference systems within preferred geographies, while offloading non-sensitive workflows to lower-cost regions. In aggregate, these adaptations increase the emphasis on resilient architecture, supplier diversification, and scenario planning. Marketing leaders should therefore integrate trade-policy sensitivity into procurement, vendor risk assessment, and total-cost-of-ownership discussions to preserve agility in campaign planning and technology roadmaps.

A comprehensive segmentation analysis that maps technologies, applications, deployment choices, organizational profiles, and industry verticals to strategic AI marketing priorities

Segmentation-driven insights reveal where AI investments are concentrated and how capability choices map to marketing objectives. Based on Technology, the landscape spans Computer Vision, Data Analytics, Deep Learning, Machine Learning, and Natural Language Processing; within Computer Vision, Image Recognition and Video Analytics enable automated asset classification and scene understanding that improve ad targeting and content moderation; Data Analytics breaks down into Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics, each supporting progressively prescriptive campaign actions; Deep Learning encompasses Convolutional Neural Networks, Generative Adversarial Networks, and Recurrent Neural Networks which underpin image generation, sequence modeling, and creative synthesis; Machine Learning includes Reinforcement Learning, Supervised Learning, and Unsupervised Learning that optimize bidding strategies, response prediction, and emergent audience discovery; and Natural Language Processing covers Language Translation, Sentiment Analysis, and Text Generation powering multilingual content, brand health monitoring, and automated copy creation.

Based on Application, deployments range from Ad Personalization, Campaign Management, Chatbots, Content Generation, Customer Segmentation, and Lead Generation; Ad Personalization includes Dynamic Creative Optimization and Real-Time Bidding, enabling responsive creative swaps and auction-time decisions; Campaign Management comprises Email Campaign Management and Social Media Campaign Management for lifecycle outreach and cross-channel orchestration; Chatbots differentiate between AI Chatbots and Rule-Based Chatbots to balance conversational depth with deterministic flows; Content Generation spans Automated Copywriting, Image Generation, and Video Generation, accelerating creative iteration; Customer Segmentation uses Behavioral Segmentation, Demographic Segmentation, and Psychographic Segmentation to refine targeting; and Lead Generation combines Automated Outreach with Predictive Lead Scoring to increase pipeline efficiency.

Based on Deployment, choices between Cloud and On-Premise deployments influence latency, control, and compliance trade-offs, shaping where inference and training workloads reside. Based on Organization Size, Large Enterprises prioritize integration, governance, and vendor consolidation while Small & Medium Enterprises emphasize turnkey solutions, cost-effectiveness, and rapid time-to-value. Based on Industry Vertical, applications differ across BFSI, Healthcare, IT and Telecom, Manufacturing, Media and Entertainment, and Retail; within Manufacturing, Automotive, Consumer Electronics, and Industrial Manufacturing present distinct use cases from personalized aftersales communications to predictive maintenance messaging, and within Media and Entertainment, Gaming, Publishing, and Streaming Services focus on audience engagement, content recommendation, and monetization strategies. These segmentation layers inform technology roadmaps and procurement priorities, helping leaders identify adjacent capabilities that accelerate impact without disproportionate risk.

A nuanced regional assessment that contrasts regulatory environments, infrastructure maturity, and adoption patterns across the Americas, Europe Middle East and Africa, and Asia-Pacific

Regional dynamics shape the adoption pace, regulatory constraints, and partner ecosystems that marketing teams must navigate. In the Americas, investment tends to prioritize rapid innovation, ecosystem partnerships, and programmatic sophistication, with a strong emphasis on integrating AI into media buying and customer experience platforms. This region also features advanced data infrastructure and a robust vendor landscape, which together enable more experimental deployments, though privacy regulations and state-level data rules require careful compliance architectures.

Across Europe, Middle East & Africa, varied regulatory regimes and linguistic diversity drive differential adoption patterns. Stricter privacy frameworks and heightened scrutiny of algorithmic transparency encourage investments in explainability, consent-first data models, and localized creative strategies. Markets in this region often favor interoperable standards and vendor solutions that can be tailored to multiple legal regimes and languages, which in turn fosters growth in specialist providers focused on compliance and localization.

In Asia-Pacific, the competitive pressure to adopt AI at scale is intense, with a mix of highly digitized markets and rapidly modernizing economies. This region often leads in mobile-first experiences, social commerce integration, and platform-driven ad ecosystems, producing use cases that emphasize lightweight on-device inference, real-time personalization, and creative automation tailored to high-frequency consumer interactions. Each regional posture influences partnership selection, deployment models, and talent strategies, making geographic sensitivity a key element of any global AI marketing program.

A detailed vendor and ecosystem appraisal that differentiates infrastructure heavyweights, platform suites, and niche specialists while emphasizing partnership and integration criteria

The competitive landscape among vendors and solution providers is defined by a spectrum that ranges from infrastructure and cloud specialists to creative platforms and niche AI boutiques. Infrastructure providers focus on scalable compute, inference acceleration, and data governance tools, while platform vendors bundle analytics, campaign management, and creative automation into end-to-end suites. Niche providers differentiate on domain expertise, offering tailored models and verticalized features for industries such as financial services, healthcare, and retail.

Partnership models are increasingly important as no single vendor typically covers the full stack of needs for sophisticated marketing organizations. Systems integrators and consultancies play a pivotal role in stitching together best-of-breed components, implementing governance, and enabling change management. Meanwhile, data providers and identity-resolution specialists remain central to building persistent consumer profiles, especially where first-party data strategies are being prioritized.

Buy-side teams should evaluate potential suppliers on criteria that include model explainability, data lineage, latency guarantees, and support for regional compliance. Equally important are the vendor roadmaps and openness to co-innovation, as the pace of AI evolution means that long-term product fit will depend on the partner's ability to adapt and to collaborate on bespoke use cases. Leadership teams that balance strategic platform commitments with tactical integrations gain the flexibility to iterate rapidly while preserving control over critical capabilities.

Actionable recommendations for leaders to build governance, modular architectures, talent, and measurement systems that enable scalable and responsible AI adoption in marketing

Leaders should take decisive actions to capture AI-driven value while managing attendant risks. First, prioritize governance frameworks that codify data ethics, model validation, and explainability requirements across use cases; establishing cross-functional committees that include legal, privacy, and product stakeholders reduces operational friction and increases stakeholder confidence. Second, invest in modular architectures and API-first platforms that permit incremental adoption without vendor lock-in, enabling teams to swap models or integrate new data sources as needs evolve.

Talent strategies must blend internal capability-building with strategic external hires. Upskilling marketing teams in data literacy and model interpretation accelerates adoption, while targeted recruitment of data engineers and ML engineers ensures operational robustness. Procurement and vendor-management practices should be updated to assess total cost of ownership, resilience to trade policy shifts, and support for regional compliance. Additionally, embed measurement frameworks that prioritize experimental design and continuous validation so that investments in AI translate into verifiable business outcomes.

Finally, leaders should pilot generative creative initiatives with clear brand and IP guardrails, and pair these pilots with policy and training to mitigate misuse. By combining governance, modular technology choices, talent development, and disciplined measurement, organizations can scale AI responsibly and sustainably in their marketing organizations.

A transparent research methodology that integrates anonymized executive interviews, technical literature synthesis, and case study analysis to derive practical and validated insights

This research synthesizes primary and secondary inputs to construct an evidence-based perspective on AI in marketing, combining stakeholder interviews, vendor briefings, and technical literature reviews with practical case studies and documented deployments. Primary inputs include structured discussions with marketing executives, data scientists, and solution architects who described implementation challenges, success factors, and governance approaches. These interviews were anonymized and analyzed to identify recurring themes in adoption, procurement, and integration practices.

Secondary inputs consist of technical documentation, vendor white papers, and peer-reviewed research that detail algorithmic approaches, performance trade-offs, and deployment considerations. Together, these sources were evaluated for methodological rigor and relevance to enterprise marketing contexts, with particular attention to reproducibility and operational constraints. Case studies were selected to represent diverse organization sizes, industry verticals, and deployment models, illustrating how different constraints shape architectural and organizational choices.

Analytical methods included comparative capability mapping, scenario analysis for supply chain contingencies, and qualitative coding of interview transcripts to surface governance and talent patterns. Throughout, emphasis was placed on actionable insights rather than speculative projections, ensuring that recommendations are grounded in observed practice and validated approaches that marketing leaders can adapt to their own operating environments.

A decisive conclusion emphasizing the need to institutionalize AI capabilities through governance, measurement, and resilient procurement to realize sustained marketing value

In conclusion, artificial intelligence is transforming marketing from a series of tactical activities into an integrated, data-driven discipline where personalization, creative automation, and measurement converge. Organizations that pair ambitious technology adoption with robust governance, modular architecture choices, and talent development will be best positioned to capture the benefits while containing risk. The cumulative effects of trade policy, regional regulation, and vendor dynamics underscore the need for resilient procurement and deployment strategies that reflect both geopolitical and operational realities.

Successful programs view AI as a capability that must be institutionalized through cross-functional processes and continuous validation rather than as a set of isolated pilots. By aligning investment decisions with clear measurement frameworks and by maintaining flexibility in vendor relationships, marketing leaders can reduce execution risk and accelerate time-to-impact. Ultimately, the organizations that win will be those that balance strategic clarity with practical implementation discipline, turning AI potential into sustained customer value.

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

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Generative AI models producing dynamic personalized ad creatives at scale for higher engagement
• 5.2. Real time AI driven sentiment analysis integrated into social listening for proactive engagement
• 5.3. Automated AI based campaign budget allocation and optimization powered by reinforcement learning
• 5.4. Personalized omnichannel customer journey orchestration using AI driven predictive analytics and triggers
• 5.5. Explainable AI tools for transparent marketing decision making and compliance with emerging regulations
• 5.6. AI powered virtual brand ambassadors delivering immersive experiences across metaverse and AR channels
• 5.7. AI driven predictive lead scoring integrated with dynamic account based marketing workflows and insights
• 5.8. Voice search optimization and conversational commerce strategies enabled by conversational AI platforms
• 5.9. Multimodal AI content generation combining text image and video personalization for enhanced customer engagement
• 5.10. Privacy preserving AI techniques including federated learning and differential privacy for customer data security

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Artificial Intelligence in Marketing Market, by Technology

• 8.1. Computer Vision
  • 8.1.1. Image Recognition
  • 8.1.2. Video Analytics
• 8.2. Data Analytics
  • 8.2.1. Descriptive Analytics
  • 8.2.2. Predictive Analytics
  • 8.2.3. Prescriptive Analytics
• 8.3. Deep Learning
  • 8.3.1. Convolutional Neural Networks
  • 8.3.2. Generative Adversarial Networks
  • 8.3.3. Recurrent Neural Networks
• 8.4. Machine Learning
  • 8.4.1. Reinforcement Learning
  • 8.4.2. Supervised Learning
  • 8.4.3. Unsupervised Learning
• 8.5. Natural Language Processing
  • 8.5.1. Language Translation
  • 8.5.2. Sentiment Analysis
  • 8.5.3. Text Generation

9. Artificial Intelligence in Marketing Market, by Application

• 9.1. Ad Personalization
  • 9.1.1. Dynamic Creative Optimization
  • 9.1.2. Real-Time Bidding
• 9.2. Campaign Management
  • 9.2.1. Email Campaign Management
  • 9.2.2. Social Media Campaign Management
• 9.3. Chatbots
  • 9.3.1. AI Chatbots
  • 9.3.2. Rule-Based Chatbots
• 9.4. Content Generation
  • 9.4.1. Automated Copywriting
  • 9.4.2. Image Generation
  • 9.4.3. Video Generation
• 9.5. Customer Segmentation
  • 9.5.1. Behavioral Segmentation
  • 9.5.2. Demographic Segmentation
  • 9.5.3. Psychographic Segmentation
• 9.6. Lead Generation
  • 9.6.1. Automated Outreach
  • 9.6.2. Predictive Lead Scoring

10. Artificial Intelligence in Marketing Market, by Deployment

• 10.1. Cloud
• 10.2. On-Premise

11. Artificial Intelligence in Marketing Market, by Organization Size

• 11.1. Large Enterprises
• 11.2. Small & Medium Enterprises

12. Artificial Intelligence in Marketing Market, by Industry Vertical

• 12.1. BFSI
• 12.2. Healthcare
• 12.3. IT And Telecom
• 12.4. Manufacturing
  • 12.4.1. Automotive
  • 12.4.2. Consumer Electronics
  • 12.4.3. Industrial Manufacturing
• 12.5. Media And Entertainment
  • 12.5.1. Gaming
  • 12.5.2. Publishing
  • 12.5.3. Streaming Services
• 12.6. Retail

13. Artificial Intelligence in Marketing Market, by Region

• 13.1. Americas
  • 13.1.1. North America
  • 13.1.2. Latin America
• 13.2. Europe, Middle East & Africa
  • 13.2.1. Europe
  • 13.2.2. Middle East
  • 13.2.3. Africa
• 13.3. Asia-Pacific

14. Artificial Intelligence in Marketing Market, by Group

• 14.1. ASEAN
• 14.2. GCC
• 14.3. European Union
• 14.4. BRICS
• 14.5. G7
• 14.6. NATO

15. Artificial Intelligence in Marketing Market, by Country

• 15.1. United States
• 15.2. Canada
• 15.3. Mexico
• 15.4. Brazil
• 15.5. United Kingdom
• 15.6. Germany
• 15.7. France
• 15.8. Russia
• 15.9. Italy
• 15.10. Spain
• 15.11. China
• 15.12. India
• 15.13. Japan
• 15.14. Australia
• 15.15. South Korea

16. Competitive Landscape

• 16.1. Market Share Analysis, 2024
• 16.2. FPNV Positioning Matrix, 2024
• 16.3. Competitive Analysis
  • 16.3.1. salesforce.com, inc.
  • 16.3.2. Adobe Inc.
  • 16.3.3. Oracle Corporation
  • 16.3.4. International Business Machines Corporation
  • 16.3.5. Microsoft Corporation
  • 16.3.6. SAP SE
  • 16.3.7. Amazon.com, Inc.
  • 16.3.8. Alphabet Inc.
  • 16.3.9. SAS Institute Inc.
  • 16.3.10. HubSpot, Inc.

LIST OF FIGURES

• FIGURE 1. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, 2018-2032 (USD MILLION)
• FIGURE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY TECHNOLOGY, 2024 VS 2032 (%)
• FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY APPLICATION, 2024 VS 2032 (%)
• FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEPLOYMENT, 2024 VS 2032 (%)
• FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEPLOYMENT, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2032 (%)
• FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY ORGANIZATION SIZE, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY INDUSTRY VERTICAL, 2024 VS 2032 (%)
• FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY INDUSTRY VERTICAL, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REGION, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 13. AMERICAS ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 14. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 15. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 16. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SUBREGION, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 17. EUROPE ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 18. MIDDLE EAST ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 19. AFRICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 20. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY GROUP, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 22. ASEAN ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 23. GCC ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 24. EUROPEAN UNION ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 25. BRICS ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 26. G7 ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 27. NATO ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2032 (USD MILLION)
• FIGURE 29. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SHARE, BY KEY PLAYER, 2024
• FIGURE 30. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, 2018-2024 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, 2025-2032 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY TECHNOLOGY, 2018-2024 (USD MILLION)
• TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY TECHNOLOGY, 2025-2032 (USD MILLION)
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COMPUTER VISION, 2018-2024 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COMPUTER VISION, 2025-2032 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COMPUTER VISION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COMPUTER VISION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COMPUTER VISION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COMPUTER VISION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COMPUTER VISION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY IMAGE RECOGNITION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY IMAGE RECOGNITION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY IMAGE RECOGNITION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY IMAGE RECOGNITION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY IMAGE RECOGNITION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY IMAGE RECOGNITION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY VIDEO ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY VIDEO ANALYTICS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY VIDEO ANALYTICS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY VIDEO ANALYTICS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY VIDEO ANALYTICS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY VIDEO ANALYTICS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DATA ANALYTICS, 2018-2024 (USD MILLION)
• TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DATA ANALYTICS, 2025-2032 (USD MILLION)
• TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DATA ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DATA ANALYTICS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DATA ANALYTICS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DATA ANALYTICS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DATA ANALYTICS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DATA ANALYTICS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DESCRIPTIVE ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DESCRIPTIVE ANALYTICS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DESCRIPTIVE ANALYTICS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DESCRIPTIVE ANALYTICS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DESCRIPTIVE ANALYTICS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DESCRIPTIVE ANALYTICS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PREDICTIVE ANALYTICS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PREDICTIVE ANALYTICS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PREDICTIVE ANALYTICS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PREDICTIVE ANALYTICS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEEP LEARNING, 2018-2024 (USD MILLION)
• TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEEP LEARNING, 2025-2032 (USD MILLION)
• TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEEP LEARNING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEEP LEARNING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEEP LEARNING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEEP LEARNING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEEP LEARNING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CONVOLUTIONAL NEURAL NETWORKS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CONVOLUTIONAL NEURAL NETWORKS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CONVOLUTIONAL NEURAL NETWORKS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CONVOLUTIONAL NEURAL NETWORKS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CONVOLUTIONAL NEURAL NETWORKS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CONVOLUTIONAL NEURAL NETWORKS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 67. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY GENERATIVE ADVERSARIAL NETWORKS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 68. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY GENERATIVE ADVERSARIAL NETWORKS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 69. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY GENERATIVE ADVERSARIAL NETWORKS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 70. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY GENERATIVE ADVERSARIAL NETWORKS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 71. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY GENERATIVE ADVERSARIAL NETWORKS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 72. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY GENERATIVE ADVERSARIAL NETWORKS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 73. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY RECURRENT NEURAL NETWORKS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 74. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY RECURRENT NEURAL NETWORKS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 75. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY RECURRENT NEURAL NETWORKS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 76. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY RECURRENT NEURAL NETWORKS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 77. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY RECURRENT NEURAL NETWORKS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 78. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY RECURRENT NEURAL NETWORKS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 79. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY MACHINE LEARNING, 2018-2024 (USD MILLION)
• TABLE 80. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY MACHINE LEARNING, 2025-2032 (USD MILLION)
• TABLE 81. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 82. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 83. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY MACHINE LEARNING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 84. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY MACHINE LEARNING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 85. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY MACHINE LEARNING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 86. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY MACHINE LEARNING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 87. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REINFORCEMENT LEARNING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 88. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REINFORCEMENT LEARNING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 89. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REINFORCEMENT LEARNING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 90. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REINFORCEMENT LEARNING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 91. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REINFORCEMENT LEARNING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 92. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REINFORCEMENT LEARNING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 93. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SUPERVISED LEARNING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 94. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SUPERVISED LEARNING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 95. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SUPERVISED LEARNING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 96. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SUPERVISED LEARNING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 97. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SUPERVISED LEARNING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 98. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SUPERVISED LEARNING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 99. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY UNSUPERVISED LEARNING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 100. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY UNSUPERVISED LEARNING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 101. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY UNSUPERVISED LEARNING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 102. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY UNSUPERVISED LEARNING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 103. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY UNSUPERVISED LEARNING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 104. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY UNSUPERVISED LEARNING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 105. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2024 (USD MILLION)
• TABLE 106. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2025-2032 (USD MILLION)
• TABLE 107. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 108. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 109. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 110. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 111. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 112. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 113. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY LANGUAGE TRANSLATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 114. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY LANGUAGE TRANSLATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 115. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY LANGUAGE TRANSLATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 116. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY LANGUAGE TRANSLATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 117. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY LANGUAGE TRANSLATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 118. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY LANGUAGE TRANSLATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 119. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SENTIMENT ANALYSIS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 120. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SENTIMENT ANALYSIS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 121. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SENTIMENT ANALYSIS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 122. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SENTIMENT ANALYSIS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 123. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SENTIMENT ANALYSIS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 124. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SENTIMENT ANALYSIS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 125. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY TEXT GENERATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 126. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY TEXT GENERATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 127. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY TEXT GENERATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 128. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY TEXT GENERATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 129. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY TEXT GENERATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 130. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY TEXT GENERATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 131. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
• TABLE 132. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY APPLICATION, 2025-2032 (USD MILLION)
• TABLE 133. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AD PERSONALIZATION, 2018-2024 (USD MILLION)
• TABLE 134. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AD PERSONALIZATION, 2025-2032 (USD MILLION)
• TABLE 135. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AD PERSONALIZATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 136. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AD PERSONALIZATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 137. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AD PERSONALIZATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 138. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AD PERSONALIZATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 139. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AD PERSONALIZATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 140. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AD PERSONALIZATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 141. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DYNAMIC CREATIVE OPTIMIZATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 142. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DYNAMIC CREATIVE OPTIMIZATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 143. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DYNAMIC CREATIVE OPTIMIZATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 144. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DYNAMIC CREATIVE OPTIMIZATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 145. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DYNAMIC CREATIVE OPTIMIZATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 146. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DYNAMIC CREATIVE OPTIMIZATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 147. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REAL-TIME BIDDING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 148. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REAL-TIME BIDDING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 149. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REAL-TIME BIDDING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 150. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REAL-TIME BIDDING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 151. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REAL-TIME BIDDING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 152. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REAL-TIME BIDDING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 153. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CAMPAIGN MANAGEMENT, 2018-2024 (USD MILLION)
• TABLE 154. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CAMPAIGN MANAGEMENT, 2025-2032 (USD MILLION)
• TABLE 155. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CAMPAIGN MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
• TABLE 156. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CAMPAIGN MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
• TABLE 157. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CAMPAIGN MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 158. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CAMPAIGN MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 159. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CAMPAIGN MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 160. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CAMPAIGN MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 161. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY EMAIL CAMPAIGN MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
• TABLE 162. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY EMAIL CAMPAIGN MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
• TABLE 163. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY EMAIL CAMPAIGN MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 164. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY EMAIL CAMPAIGN MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 165. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY EMAIL CAMPAIGN MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 166. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY EMAIL CAMPAIGN MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 167. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SOCIAL MEDIA CAMPAIGN MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
• TABLE 168. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SOCIAL MEDIA CAMPAIGN MANAGEMENT, BY REGION, 2025-2032 (USD MILLION)
• TABLE 169. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SOCIAL MEDIA CAMPAIGN MANAGEMENT, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 170. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SOCIAL MEDIA CAMPAIGN MANAGEMENT, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 171. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SOCIAL MEDIA CAMPAIGN MANAGEMENT, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 172. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY SOCIAL MEDIA CAMPAIGN MANAGEMENT, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 173. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CHATBOTS, 2018-2024 (USD MILLION)
• TABLE 174. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CHATBOTS, 2025-2032 (USD MILLION)
• TABLE 175. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CHATBOTS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 176. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CHATBOTS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 177. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CHATBOTS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 178. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CHATBOTS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 179. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CHATBOTS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 180. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CHATBOTS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 181. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AI CHATBOTS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 182. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AI CHATBOTS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 183. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AI CHATBOTS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 184. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AI CHATBOTS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 185. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AI CHATBOTS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 186. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AI CHATBOTS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 187. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY RULE-BASED CHATBOTS, BY REGION, 2018-2024 (USD MILLION)
• TABLE 188. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY RULE-BASED CHATBOTS, BY REGION, 2025-2032 (USD MILLION)
• TABLE 189. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY RULE-BASED CHATBOTS, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 190. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY RULE-BASED CHATBOTS, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 191. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY RULE-BASED CHATBOTS, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 192. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY RULE-BASED CHATBOTS, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 193. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CONTENT GENERATION, 2018-2024 (USD MILLION)
• TABLE 194. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CONTENT GENERATION, 2025-2032 (USD MILLION)
• TABLE 195. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CONTENT GENERATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 196. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CONTENT GENERATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 197. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CONTENT GENERATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 198. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CONTENT GENERATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 199. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CONTENT GENERATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 200. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CONTENT GENERATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 201. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AUTOMATED COPYWRITING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 202. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AUTOMATED COPYWRITING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 203. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AUTOMATED COPYWRITING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 204. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AUTOMATED COPYWRITING, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 205. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AUTOMATED COPYWRITING, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 206. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AUTOMATED COPYWRITING, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 207. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY IMAGE GENERATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 208. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY IMAGE GENERATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 209. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY IMAGE GENERATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 210. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY IMAGE GENERATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 211. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY IMAGE GENERATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 212. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY IMAGE GENERATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 213. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY VIDEO GENERATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 214. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY VIDEO GENERATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 215. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY VIDEO GENERATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 216. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY VIDEO GENERATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 217. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY VIDEO GENERATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 218. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY VIDEO GENERATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 219. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CUSTOMER SEGMENTATION, 2018-2024 (USD MILLION)
• TABLE 220. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CUSTOMER SEGMENTATION, 2025-2032 (USD MILLION)
• TABLE 221. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CUSTOMER SEGMENTATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 222. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CUSTOMER SEGMENTATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 223. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CUSTOMER SEGMENTATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 224. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CUSTOMER SEGMENTATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 225. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CUSTOMER SEGMENTATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 226. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY CUSTOMER SEGMENTATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 227. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY BEHAVIORAL SEGMENTATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 228. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY BEHAVIORAL SEGMENTATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 229. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY BEHAVIORAL SEGMENTATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 230. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY BEHAVIORAL SEGMENTATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 231. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY BEHAVIORAL SEGMENTATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 232. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY BEHAVIORAL SEGMENTATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 233. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEMOGRAPHIC SEGMENTATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 234. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEMOGRAPHIC SEGMENTATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 235. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEMOGRAPHIC SEGMENTATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 236. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEMOGRAPHIC SEGMENTATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 237. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEMOGRAPHIC SEGMENTATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 238. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEMOGRAPHIC SEGMENTATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 239. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PSYCHOGRAPHIC SEGMENTATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 240. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PSYCHOGRAPHIC SEGMENTATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 241. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PSYCHOGRAPHIC SEGMENTATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 242. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PSYCHOGRAPHIC SEGMENTATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 243. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PSYCHOGRAPHIC SEGMENTATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 244. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PSYCHOGRAPHIC SEGMENTATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 245. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY LEAD GENERATION, 2018-2024 (USD MILLION)
• TABLE 246. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY LEAD GENERATION, 2025-2032 (USD MILLION)
• TABLE 247. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY LEAD GENERATION, BY REGION, 2018-2024 (USD MILLION)
• TABLE 248. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY LEAD GENERATION, BY REGION, 2025-2032 (USD MILLION)
• TABLE 249. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY LEAD GENERATION, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 250. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY LEAD GENERATION, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 251. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY LEAD GENERATION, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 252. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY LEAD GENERATION, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 253. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AUTOMATED OUTREACH, BY REGION, 2018-2024 (USD MILLION)
• TABLE 254. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AUTOMATED OUTREACH, BY REGION, 2025-2032 (USD MILLION)
• TABLE 255. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AUTOMATED OUTREACH, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 256. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AUTOMATED OUTREACH, BY GROUP, 2025-2032 (USD MILLION)
• TABLE 257. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AUTOMATED OUTREACH, BY COUNTRY, 2018-2024 (USD MILLION)
• TABLE 258. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY AUTOMATED OUTREACH, BY COUNTRY, 2025-2032 (USD MILLION)
• TABLE 259. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PREDICTIVE LEAD SCORING, BY REGION, 2018-2024 (USD MILLION)
• TABLE 260. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PREDICTIVE LEAD SCORING, BY REGION, 2025-2032 (USD MILLION)
• TABLE 261. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY PREDICTIVE LEAD SCORING, BY GROUP, 2018-2024 (USD MILLION)
• TABLE 262. GLOBAL ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, B