人工知能ベースのパーソナライゼーション市場：提供サービス、テクノロジー、エンドユーザー産業別-2025-2030年の世界予測

人工知能ベースのパーソナライゼーション市場の2024年の市場規模は2,624億7,000万米ドルで、2025年には2,998億4,000万米ドルに成長し、CAGRは15.15%、2030年には6,119億4,000万米ドルに達すると予測されています。

人工知能を活用したパーソナライゼーションは、企業がターゲット・オーディエンスと対話する方法を再構築しています。今日の競合環境において、企業は高度なアナリティクスと機械学習技術を活用し、顧客とのエンゲージメント、コンバージョン、持続的な関係を促進するテーラーメイド体験を創造しています。本レポートでは、パーソナライゼーション戦略の進化を深く掘り下げることで、AIが未来的な概念から、さまざまな業界で受け入れられているビジネスの中核的な必須事項へとどのように変遷してきたかを明らかにします。

基本的なセグメンテーションと初歩的なデータ駆動型インサイトの黎明期から始まり、ダイナミックでコンテキストを認識した体験がデジタルマーケティング施策の最前線となる現在の時代まで、パーソナライゼーションの変革の道のりを探っていきます。パーソナライゼーション戦略におけるAIの採用は、リアルタイムの意思決定を可能にしただけでなく、個々の顧客ニーズのより直感的な理解をももたらしました。このエグゼクティブサマリーでは、デジタルの展望を変えつつある主な動向、市場力学、戦略的要請を概説することで、これらの技術的進歩をナビゲートし、活用しようとする意思決定者に包括的な概要を提供し、舞台を整えます。

人工知能ベースのパーソナライゼーション市場の変革

近年、パーソナライゼーションを取り巻く環境は、人工知能とデータ分析の急速な進歩によって大きく変化しています。洗練されたアルゴリズムの出現と機械学習の統合は、顧客との対話が適応的で高度にカスタマイズされたデジタル体験によって定義される新しい時代へと結実しました。

組織は、従来の画一的なアプローチから脱却するために、AIの能力をますます受け入れるようになっています。この変化は、ダイナミックなコンテンツ作成、リアルタイムのデータ分析、予測モデリングの広範な導入に現れています。企業が消費者の行動をきめ細かく理解できるテクノロジーに投資するにつれて、焦点は基本的な人口統計学的セグメンテーションから、文脈を考慮したニュアンス豊かなパーソナライゼーションへとシフトしています。このパラダイムシフトは、顧客エンゲージメントを高めるだけでなく、最高のリターンをもたらすチャネルやプラットフォームに焦点を当てることで、企業がマーケティング費用を最適化するのにも役立ちます。

デジタルトランスフォーメーションは、マーケティング、IT、データ分析が連携してカスタマージャーニーを再構築する、機能横断的なチームの出現につながりました。このような環境では、膨大な量のデータを活用する能力と、実用的なインサイトを抽出するAIの熟練度が相まって、戦略立案の要となっています。新たな情勢は、顧客の意図に対する意識の高まり、ユーザー・ジャーニーのより流動的な理解、パーソナライズされた体験をリアルタイムで提供する絶え間ない追求によって定義されます。テクノロジーと戦略の相互作用は、急速に進化する市場で競争上の差別化を図る上で、かつてないほど重要になっています。

パーソナライゼーションを推進する主要なセグメンテーションの洞察

AI主導のパーソナライゼーションを詳細に分析すると、多様なセグメンテーションのレンズを通して市場を検証する際に重要な洞察が明らかになります。第一に、提供サービスに基づくセグメンテーションでは、顧客エンゲージメントのダイナミクスを再定義する幅広いソリューションが強調されています。分析によると、行動ターゲティング、チャットボット＆バーチャルアシスタント、ディスプレイ広告パーソナライゼーション、Eメールパーソナライゼーション、パーソナライズドコンテンツ作成、予測分析、ソーシャルメディアパーソナライゼーション、ウェブサイトパーソナライゼーションなどのサービスが、企業がターゲットオーディエンスと対話する方法を強化する上で極めて重要な役割を果たしています。

さらに、技術に基づいて市場を見ることで、協調フィルタリング、コンピュータビジョン、ディープラーニング、機械学習アルゴリズム、自然言語処理、予測分析、強化学習などの手法が革新の最前線にある、異なる次元の理解が得られます。これらの技術的応用により、組織は顧客の行動をより正確に予測し、リアルタイムのデータ洞察に基づいてインタラクションを調整できるようになります。

最後に、エンドユーザー業界のセグメンテーションは、パーソナライゼーションに大規模な投資を行っているセクターについて明確な視点を提供します。自動車、銀行、金融サービス＆保険（BFSI）、eコマース＆小売、ヘルスケア、メディア＆エンターテインメント、小売＆eコマース、通信、旅行＆ホスピタリティなどの業界では、高度なパーソナライゼーション技術への依存度が高まっています。ターゲットを絞った提案、最先端技術、業界固有のアプリケーションの相互作用は、企業がより有意義な顧客エンゲージメントを目指す中で、AIがもたらす包括的な変革を強調しています。

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • 高度にパーソナライズされた体験に対する消費者の需要の増加
    • クラウドコンピューティングとスケーラブルなインフラストラクチャの世界の導入増加
    • モバイル技術とインターネット接続の普及に対する需要の急増
  • 抑制要因
    • 堅牢なAIインフラストラクチャの実装には多額の資本投資と運用コストがかかる
  • 機会
    • 高度な人工知能戦略をデジタルマーケティングに統合
    • パーソナライゼーション技術のイノベーションを促進するための投資と資金の急増
  • 課題
    • AIシステムを既存のレガシーITインフラストラクチャに統合する際の技術的なハードル
• 市場セグメンテーション分析
  • 提供内容：パーソナライズされたメール体験を創り出すための高度なAIと予測分析のパワーを強化
  • エンドユーザー業界：カスタマイズされた車載システム向けの高度な機械学習技術の採用が増加
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社会
  • 技術的
  • 法律上
  • 環境

第6章 人工知能ベースのパーソナライゼーション市場：提供別

• 行動ターゲティング
• チャットボットとバーチャルアシスタント
• ディスプレイ広告のパーソナライゼーション
• メールのパーソナライゼーション
• パーソナライズされたコンテンツの作成
• 予測分析
• ソーシャルメディアのパーソナライゼーション
• ウェブサイトのパーソナライゼーション

第7章 人工知能ベースのパーソナライゼーション市場：技術別

• 協調フィルタリング
• コンピュータービジョン
• ディープラーニング
• 機械学習アルゴリズム
• 自然言語処理
• 予測分析
• 強化学習

第8章 人工知能ベースのパーソナライゼーション市場エンドユーザー業界別

• 自動車
• 銀行、金融サービス、保険（BFSI）
• eコマースと小売
• ヘルスケア
• メディア＆エンターテインメント
• 小売・Eコマース
• 通信
• 旅行とホスピタリティ

第9章 南北アメリカの人工知能ベースのパーソナライゼーション市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第10章 アジア太平洋地域の人工知能ベースのパーソナライゼーション市場

• オーストラリア
• 中国
• インド
• インドネシア
• 日本
• マレーシア
• フィリピン
• シンガポール
• 韓国
• 台湾
• タイ
• ベトナム

第11章 欧州・中東・アフリカの人工知能ベースのパーソナライゼーション市場

• デンマーク
• エジプト
• フィンランド
• フランス
• ドイツ
• イスラエル
• イタリア
• オランダ
• ナイジェリア
• ノルウェー
• ポーランド
• カタール
• ロシア
• サウジアラビア
• 南アフリカ
• スペイン
• スウェーデン
• スイス
• トルコ
• アラブ首長国連邦
• 英国

第12章 競合情勢

• 市場シェア分析, 2024
• FPNVポジショニングマトリックス, 2024
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

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

LIST OF FIGURES

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

LIST OF TABLES

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

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

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

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

Transformative Shifts in the Digital Landscape

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

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

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

Key Segmentation Insights Driving Personalization

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

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

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

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

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

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

Key Regional Insights Shaping Market Trends

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

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

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

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

Key Companies Influencing the AI Personalization Sphere

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

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

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

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

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

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

Conclusion: Embracing the Future of Personalized Experiences

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

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

Table of Contents

1. Preface

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

2. Research Methodology

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

3. Executive Summary

4. Market Overview

5. Market Insights

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

6. Artificial Intelligence based Personalization Market, by Offerings

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

7. Artificial Intelligence based Personalization Market, by Technology

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

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

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

9. Americas Artificial Intelligence based Personalization Market

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

10. Asia-Pacific Artificial Intelligence based Personalization Market

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

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

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

12. Competitive Landscape

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

Companies Mentioned

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