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市場調查報告書
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1838890

行銷市場中的人工智慧：2025-2032 年全球預測（按技術、應用、部署、組織規模和產業）

Artificial Intelligence in Marketing Market by Technology, Application, Deployment, Organization Size, Industry Vertical - Global Forecast 2025-2032
出版日期: | 出版商: 360iResearch | 英文 187 Pages | 商品交期: 最快1-2個工作天內

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預計到 2032 年，行銷人工智慧市場規模將成長至 572.9 億美元，複合年成長率為 19.42%。

主要市場統計數據
基準年2024年 138.4億美元
預計2025年 165.9億美元
預測年份：2032年 572.9億美元
複合年成長率（%） 19.42%

對人工智慧作為行銷績效策略加速器的權威介紹，強調管治和生態系統考慮

人工智慧在行銷職能領域的加速整合正在重塑企業吸引、互動和留住客戶的方式。本介紹將人工智慧在行銷中的定位為策略賦能者而非單點解決方案，並強調其在提升個人化、最佳化媒體投資以及自動化創新和營運工作流程方面所發揮的作用。將人工智慧定位為一系列能力和實踐，可以幫助領導者擺脫試點疲勞，邁向可擴展的方案，從而在效率和客戶相關性方面實現可衡量的提升。

機器感知、自然語言理解和預測分析領域的最新進展正在拓展人工智慧能夠解決的行銷問題範圍。這些能力現在已融入程序化廣告、內容創作、對話式體驗和衡量框架，使行銷人員能夠從基於規則的任務轉向以結果為導向的編配。因此，採用嚴格管治和跨職能營運模式的組織更有能力將實驗成功轉化為持續的商業性回報。

引言也強調了生態系統思維的重要性。供應商、創新合作夥伴、數據提供商以及雲端和硬體供應商都會影響人工智慧應用的速度和永續性。因此，高階主管必須在自身能力投資與策略夥伴關係之間取得平衡，並確保管治、人才發展和技術藍圖與不斷變化的消費者期望和法規環境保持一致。

前瞻性分析人工智慧驅動的個人化、綜合測量和生成性創新如何重新定義行銷營運和管治要求

隨著人工智慧從一項小眾實驗發展成為一項貫穿整個客戶生命週期的營運能力，行銷正經歷一波變革浪潮。最顯著的變化之一是從靜態細分轉向持續的、由人工智慧主導的個人化，這種個人化能夠根據消費者訊號和情境數據近乎即時地調整通訊和創新。這能夠實現更大規模、更相關的互動，並重新定義品牌對客戶旅程和終身價值的理解。

另一個重大轉變是圍繞著統一資料架構和事件驅動架構的測量和最佳化融合。人工智慧驅動的歸因和增量建模正在取代傳統的啟發式方法，使行銷人員能夠更準確地分配支出，並以可衡量的投資回報率為重點進行創新迭代。此外，透過內建 API 和低程式碼平台實現人工智慧的民主化，正在拉平存取曲線，使規模更小的團隊也能採用高級功能，同時也提高了供應商選擇和整合規範的重要性。

同時，創新製作也在不斷發展，生成技術能夠快速製作文案、圖片和影片的原型製作。雖然這加快了宣傳活動的上市時間，但也引發了有關品牌一致性、智慧財產權管理和道德規範的問題。最後，隱私和監管發展與人工智慧能力的成熟交織在一起，迫使人們重新評估資料策略、同意管理和跨境營運。這種轉變要求行銷領導者投資於人才、管治和基礎設施，以有效且負責任地利用人工智慧。

美國近期關稅如何重塑整個行銷生態系統的人工智慧基礎設施採購、供應商採購和資料駐留決策的策略分析。

近期關稅變化的累積影響源自於美國2025年貿易政策，這為行銷技術和基礎設施提供者的成本結構和營運計畫帶來了新的變數。與關稅相關的摩擦正在影響支援資料中心和邊緣運算的硬體供應鏈，影響到支援大規模人工智慧工作負載的GPU、專用加速器和網路設備的可用性和成本。這些壓力正層層遞進地影響雲端服務供應商、系統整合商和依賴硬體的供應商，促使他們重新協商籌資策略，並延長關鍵零件的前置作業時間。

除了硬體之外，關稅還影響跨境軟體授權、供應商夥伴關係以及創新製作外包的經濟效益。依賴全球創新工廠和擁有跨國供應鏈的廣告技術堆疊的行銷機構正在重新評估其採購模式，以降低關稅風險和延遲風險。這種重新評估通常會導致他們更傾向於選擇區域供應商和配套服務協議，從而將關稅複雜性內部化，並降低關稅波動帶來的風險。

資費波動也會影響資料管治和合規性，促使企業考慮在境內部署和託管在不同司法管轄區的雲端基礎服務之間進行權衡。一些公司正在加速工作負載細分，將敏感資料和核心推理系統保留在其首選區域，同時將非敏感工作流程遷移到成本較低的區域。整體而言，這些調整強化了彈性架構、供應商多元化和情境規劃的重要性。因此，行銷領導者應將貿易政策考量納入採購、供應商風險評估和總擁有成本 (TCO) 討論中，以保持宣傳活動規劃和技術藍圖的靈活性。

全面的細分分析，將技術、應用程式、部署選項、組織概況和行業垂直領域與策略性 AI 行銷重點進行映射

細分驅動的洞察揭示了人工智慧投資的重點以及能力選擇如何映射到行銷目標。按技術領域分類，該領域涵蓋電腦視覺、資料分析、深度學習、機器學習和自然語言處理。在電腦視覺領域，影像識別和影片分析可實現自動資產分類和場景理解，從而改善廣告定位和內容審核。資料分析分為說明、預測性分析和規範性分析，每種分析都支援增量規範性宣傳活動行動。深度學習包括卷積神經網路、生成矛盾神經網路和卷積類神經網路神經網路，它們是影像生成、序列建模和創新合成的基礎。機器學習包含強化學習、監督學習和無監督學習，可最佳化競標策略、反應預測和新興受眾發現。自然語言處理涵蓋語言翻譯、情緒分析和文本生成，為多語言內容、品牌健康監測和自動副本創建提供支援。

目錄

第1章：前言

第2章調查方法

第3章執行摘要

第4章 市場概況

第5章 市場洞察

  • 人工智慧模型可大規模產生動態、個人化的廣告創新，以提高參與度
  • 將即時、人工智慧情緒分析融入社交聆聽，實現主動參與。
  • 基於人工智慧的自動化宣傳活動預算分配和最佳化，使用強化學習
  • 使用人工智慧驅動的預測分析和觸發器進行個人化的全通路客戶旅程編配
  • 可解釋的人工智慧工具可實現透明的行銷決策並遵守新法規
  • 人工智慧虛擬品牌大使透過元宇宙和 AR 管道提供身臨其境型體驗
  • 人工智慧驅動的預測性案源計分與基於帳戶的動態行銷工作流程和洞察相結合
  • 利用對話式人工智慧平台進行語音搜尋最佳化與對話式商務策略
  • 透過結合文字、圖像和影片個人化的多模態AI 內容生成來增強客戶參與
  • 聯邦學習和差異隱私等保護隱私的人工智慧技術，用於保障客戶資料安全

第6章：2025年美國關稅的累積影響

第7章：人工智慧的累積影響，2025年

第 8 章：人工智慧在行銷市場的應用（按技術）

  • 電腦視覺
    • 影像識別
    • 影片分析
  • 數據分析
    • 說明分析
    • 預測分析
    • 指示性分析
  • 深度學習
    • 卷積類神經網路
    • 生成對抗網路
    • 循環神經網路
  • 機器學習
    • 強化學習
    • 監督學習
    • 無監督學習
  • 自然語言處理
    • 語言翻譯
    • 情緒分析
    • 文字生成

第9章人工智慧在行銷市場的應用

  • 廣告個人化
    • 動態創新最佳化
    • 即時競價
  • 宣傳活動管理
    • 電子郵件宣傳活動管理
    • 社群媒體宣傳活動管理
  • 聊天機器人
    • 人工智慧聊天機器人
    • 基於規則的聊天機器人
  • 內容生成
    • 自動文案
    • 影像生成
    • 影片生成
  • 客戶區隔
    • 行為細分
    • 人口細分
    • 心理細分
  • 潛在客戶開發
    • 自動推廣
    • 預測案源計分

第10章 行銷市場中的人工智慧（按部署）

  • 雲
  • 本地部署

第 11 章行銷市場中的人工智慧（按組織規模）

  • 主要企業
  • 小型企業

第 12 章：人工智慧在行銷市場的垂直應用

  • BFSI
  • 衛生保健
  • 資訊科技和通訊
  • 製造業
    • 車
    • 家電
    • 工業製造
  • 媒體和娛樂
    • 遊戲
    • 發布
    • 串流媒體服務
  • 零售

第13章 行銷市場中的人工智慧（按地區）

  • 美洲
    • 北美洲
    • 拉丁美洲
  • 歐洲、中東和非洲
    • 歐洲
    • 中東
    • 非洲
  • 亞太地區

第 14 章 行銷市場中的人工智慧（按類別）

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

第15章 各國行銷市場中的人工智慧

  • 美國
  • 加拿大
  • 墨西哥
  • 巴西
  • 英國
  • 德國
  • 法國
  • 俄羅斯
  • 義大利
  • 西班牙
  • 中國
  • 印度
  • 日本
  • 澳洲
  • 韓國

第16章競爭格局

  • 2024年市佔率分析
  • 2024年FPNV定位矩陣
  • 競爭分析
    • 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.
Product Code: MRR-031BF22F9542

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

KEY MARKET STATISTICS
Base Year [2024] USD 13.84 billion
Estimated Year [2025] USD 16.59 billion
Forecast Year [2032] USD 57.29 billion
CAGR (%) 19.42%

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