人工知能ベースのパーソナライゼーション市場：技術、用途、業界別-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2023年の市場規模は38億4,000万米ドルで、2024年には45億4,000万米ドルに達すると予測され、CAGR 18.62％で成長し、2030年には127億1,000万米ドルに達すると予測されています。

人工知能（AI）ベースのパーソナライゼーションは、機械学習アルゴリズムとデータ分析を活用して、コンテンツ、製品、サービスを個々のユーザーの好みや行動に合わせて調整します。このパーソナライズされたアプローチは、顧客体験の向上、エンゲージメントの増加、コンバージョン率の促進に必要であり、小売、ヘルスケア、金融、エンターテイメントなどの業界全体で不可欠となっています。応用範囲は、eコマース・プラットフォームにおけるパーソナライズされたレコメンデーションから、デジタル・マーケティングにおけるターゲット広告、教育におけるパーソナライズされた学習経路にまで及ぶ。最終用途の範囲には主に、金融サービス、接客業、メディアなど、消費者との直接的な関わりやサービス提供に重点を置く業界が含まれます。

市場の洞察によると、顧客体験の向上に対する需要の高まりと、分野横断的なデジタル変革の加速によって、大きな成長機会がもたらされることが明らかになった。主な成長要因には、AI技術の進歩、ビッグデータの普及、パーソナライズされたインタラクションに対する消費者の期待が含まれます。中小企業など、AIパーソナライゼーションの導入がまだ初期段階にある部門や、顧客維持の競争激化に直面している業界からは、潜在的なビジネスチャンスが生まれています。こうした機会を捉えるために、企業は堅牢なデータ収集・分析能力に投資し、消費者の信頼を築くために倫理的なデータ取り扱いを徹底すべきです。

しかし、データ・プライバシーの懸念、膨大な量の高品質データの必要性、AIソリューションの導入における技術的複雑性などの課題が、市場の成長を抑制する可能性があります。さらに、GDPRのようなデータ保護に関連する規制圧力は、さらなるハードルとなります。イノベーションと研究は、より少ないデータで済むより効率的なアルゴリズムの開発、プライバシー保護技術の強化、未開拓分野での新たなAIアプリケーションの探求で熟しています。市場はダイナミックで、急速な技術の進歩と消費者の期待の進化を特徴としており、企業は機敏に行動し、持続的な成長のために継続的な学習アプローチを採用する必要があります。ハイテク企業との協業やAI人材への投資は、競争優位性を獲得するための戦略的ステップです。

市場力学：急速に進化する人工知能ベースのパーソナライゼーション市場の主要市場インサイトを公開

人工知能ベースのパーソナライゼーション市場は、需要と供給のダイナミックな相互作用によって変貌を遂げています。このような市場力学の進化を理解することで、企業は十分な情報に基づいた投資決定、戦略的意思決定、新たなビジネスチャンスの獲得を行うことができます。これらの動向を包括的に把握することで、企業は政治的、地理的、技術的、社会的、経済的な領域にわたる様々なリスクを軽減することができ、また、消費者行動とそれが製造コストや購買動向に与える影響をより明確に理解することができます。

• 市場促進要因
  • 各業界におけるデータ主導のマーケティング戦略へのシフト
  • eコマースやオンライン・プラットフォームにおける顧客体験の向上に対する需要の高まり
  • データ量の増加とデータセキュリティソリューションの強化
• 市場抑制要因
  • AIベースのパーソナライゼーションに関連するデータプライバシーとセキュリティの懸念
• 市場機会
  • 機械学習アルゴリズムと自然言語処理の進歩
  • 銀行・金融セクターからの需要の急増
• 市場の課題
  • AIベースのパーソナライゼーション統合に伴う高コスト

ポーターのファイブフォース：人工知能ベースのパーソナライゼーション市場をナビゲートする戦略ツール

ポーターのファイブフォースフレームワークは、人工知能ベースのパーソナライゼーション市場の競合情勢を理解するための重要なツールです。ポーターのファイブフォース・フレームワークは、企業の競争力を評価し、戦略的機会を探るための明確な手法を提供します。このフレームワークは、企業が市場内の勢力図を評価し、新規事業の収益性を判断するのに役立ちます。これらの洞察により、企業は自社の強みを活かし、弱みに対処し、潜在的な課題を回避することができ、より強靭な市場でのポジショニングを確保することができます。

PESTLE分析：人工知能ベースのパーソナライゼーション市場における外部からの影響の把握

外部マクロ環境要因は、人工知能ベースのパーソナライゼーション市場の業績ダイナミクスを形成する上で極めて重要な役割を果たします。政治的、経済的、社会的、技術的、法的、環境的要因の分析は、これらの影響をナビゲートするために必要な情報を提供します。PESTLE要因を調査することで、企業は潜在的なリスクと機会をよりよく理解することができます。この分析により、企業は規制、消費者の嗜好、経済動向の変化を予測し、先を見越した積極的な意思決定を行う準備ができます。

市場シェア分析人工知能ベースのパーソナライゼーション市場における競合情勢の把握

人工知能ベースのパーソナライゼーション市場の詳細な市場シェア分析により、ベンダーの業績を包括的に評価することができます。企業は、収益、顧客ベース、成長率などの主要指標を比較することで、競争上のポジショニングを明らかにすることができます。この分析により、市場の集中、断片化、統合の動向が明らかになり、ベンダーは競争が激化する中で自社の地位を高める戦略的意思決定を行うために必要な知見を得ることができます。

FPNVポジショニング・マトリックス人工知能ベースのパーソナライゼーション市場におけるベンダーのパフォーマンス評価

FPNVポジショニングマトリックスは、人工知能ベースのパーソナライゼーション市場においてベンダーを評価するための重要なツールです。このマトリックスにより、ビジネス組織はベンダーのビジネス戦略と製品満足度に基づき評価することで、目標に沿った十分な情報に基づいた意思決定を行うことができます。4つの象限によってベンダーを明確かつ正確にセグメント化し、戦略目標に最適なパートナーやソリューションを特定することができます。

戦略分析と推奨人工知能ベースのパーソナライゼーション市場における成功への道筋を描く

人工知能ベースのパーソナライゼーション市場の戦略分析は、世界市場でのプレゼンス強化を目指す企業にとって不可欠です。主要なリソース、能力、業績指標を見直すことで、企業は成長機会を特定し、改善に取り組むことができます。このアプローチにより、競合情勢における課題を克服し、新たなビジネスチャンスを活かして長期的な成功を収めるための体制を整えることができます。

本レポートでは、主要な注目分野を網羅した市場の包括的な分析を提供しています：

1.市場の浸透度：現在の市場環境の詳細なレビュー、主要企業による広範なデータ、市場でのリーチと全体的な影響力の評価。

2.市場の開拓度：新興市場における成長機会を特定し、既存分野における拡大可能性を評価し、将来の成長に向けた戦略的ロードマップを提供します。

3.市場の多様化：最近の製品発売、未開拓の地域、業界の主要な進歩、市場を形成する戦略的投資を分析します。

4.競合の評価と情報：競合情勢を徹底的に分析し、市場シェア、事業戦略、製品ポートフォリオ、認証、規制当局の承認、特許動向、主要企業の技術進歩などを検証します。

5.製品開発およびイノベーション：将来の市場成長を促進すると期待される最先端技術、研究開発活動、製品イノベーションをハイライトしています。

また、利害関係者が十分な情報を得た上で意思決定できるよう、重要な質問にも答えています：

1.現在の市場規模と今後の成長予測は？

2.最高の投資機会を提供する製品、セグメント、地域はどこか？

3.市場を形成する主な技術動向と規制の影響とは？

4.主要ベンダーの市場シェアと競合ポジションは？

5.ベンダーの市場参入・撤退戦略の原動力となる収益源と戦略的機会は何か？

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
    • 業界間でデータ主導のマーケティング戦略への移行
    • eコマースとオンラインプラットフォームにおける顧客体験の向上に対する需要の増加
    • データ量の増加とデータセキュリティソリューションの強化
  • 抑制要因
    • AIベースのパーソナライゼーションに関連するデータのプライバシーとセキュリティの懸念
  • 機会
    • 機械学習アルゴリズムと自然言語処理の進歩
    • 銀行・金融部門からの需要の急増
  • 課題
    • AIベースのパーソナライゼーションの統合に伴う高コスト
• 市場セグメンテーション分析
  • テクノロジー：AIを活用したパーソナライゼーションに高度なテクノロジーを統合し、高度に個別化されたユーザーエクスペリエンスを強化
  • アプリケーション：企業におけるパーソナライゼーションAIの急速な活用によるプロセスの最適化と顧客満足度の向上
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社交
  • 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：技術別

• 協調フィルタリング
• コンテキストバンディットアルゴリズム
• 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
• ニューラルネットワーク
• 予測分析
• 強化学習

第7章 人工知能ベースのパーソナライゼーション市場：用途別

• 広告ターゲティングとリターゲティング
• コンテンツのカスタマイズ
• メールマーケティングのパーソナライゼーション
• パーソナライズされたカスタマーサービス
• 検索結果のパーソナライズ
• ソーシャルメディアのパーソナライゼーション
• ウェブサイトとアプリのパーソナライゼーション

第8章 人工知能ベースのパーソナライゼーション市場：業界別

• 自動車
• eコマースと小売
• 金融サービス
• ヘルスケア
• メディアとエンターテイメント
• 通信
• 旅行・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2023
• FPNVポジショニングマトリックス, 2023
• 競合シナリオ分析
  • ステランティス、クラウドメイドの人工知能技術とIPを買収し、パーソナライズされたモビリティ体験を強化
  • Zoovuがパーソナライズされた購入体験を提供する生成AIソリューションを発表
  • Intent HQがAnagogと合併し、個人関連の生成AIを進化させる
• 戦略分析と提言

企業一覧

• Abmatic AI
• 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
• Oracle Corporation
• Salesforce, Inc
• SAP SE
• Simplify360 Inc.

LIST OF FIGURES

• FIGURE 1. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET RESEARCH PROCESS
• FIGURE 2. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, 2023 VS 2030
• FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
• FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
• FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2023 VS 2030 (%)
• FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 12. AMERICAS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 13. AMERICAS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 14. UNITED STATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY STATE, 2023 VS 2030 (%)
• FIGURE 15. UNITED STATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 16. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 17. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 18. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 19. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 20. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SHARE, BY KEY PLAYER, 2023
• FIGURE 21. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• 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 TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COLLABORATIVE FILTERING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY CONTEXTUAL BANDIT ALGORITHMS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY MACHINE LEARNING ALGORITHMS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY NEURAL NETWORKS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY REINFORCEMENT LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY AD TARGETING & RETARGETING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY CONTENT CUSTOMIZATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY EMAIL MARKETING PERSONALIZATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY PERSONALIZED CUSTOMER SERVICE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY SEARCH RESULT PERSONALIZATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY SOCIAL MEDIA PERSONALIZATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY WEBSITE & APP PERSONALIZATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 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 E-COMMERCE & RETAIL, BY REGION, 2018-2030 (USD MILLION)
• TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY FINANCIAL SERVICES, 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 TELECOMMUNICATIONS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TRAVEL & HOSPITALITY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 32. AMERICAS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 33. AMERICAS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 34. AMERICAS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 35. AMERICAS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 36. ARGENTINA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 37. ARGENTINA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 38. ARGENTINA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 39. BRAZIL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 40. BRAZIL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 41. BRAZIL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 42. CANADA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 43. CANADA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 44. CANADA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 45. MEXICO ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 46. MEXICO ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 47. MEXICO ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 48. UNITED STATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 49. UNITED STATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 50. UNITED STATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 51. UNITED STATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 52. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 53. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 54. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 55. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 56. AUSTRALIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 57. AUSTRALIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 58. AUSTRALIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 59. CHINA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 60. CHINA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 61. CHINA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 62. INDIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 63. INDIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 64. INDIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 65. INDONESIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 66. INDONESIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 67. INDONESIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 68. JAPAN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 69. JAPAN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 70. JAPAN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 71. MALAYSIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 72. MALAYSIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 73. MALAYSIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 74. PHILIPPINES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 75. PHILIPPINES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 76. PHILIPPINES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 77. SINGAPORE ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 78. SINGAPORE ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 79. SINGAPORE ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 80. SOUTH KOREA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 81. SOUTH KOREA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 82. SOUTH KOREA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 83. TAIWAN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 84. TAIWAN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 85. TAIWAN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 86. THAILAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 87. THAILAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 88. THAILAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 89. VIETNAM ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 90. VIETNAM ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 91. VIETNAM ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 92. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 93. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 94. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 95. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 96. DENMARK ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 97. DENMARK ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 98. DENMARK ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 99. EGYPT ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 100. EGYPT ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 101. EGYPT ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 102. FINLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 103. FINLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 104. FINLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 105. FRANCE ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 106. FRANCE ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 107. FRANCE ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 108. GERMANY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 109. GERMANY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 110. GERMANY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 111. ISRAEL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 112. ISRAEL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 113. ISRAEL ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 114. ITALY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 115. ITALY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 116. ITALY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 117. NETHERLANDS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 118. NETHERLANDS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 119. NETHERLANDS ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 120. NIGERIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 121. NIGERIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 122. NIGERIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 123. NORWAY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 124. NORWAY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 125. NORWAY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 126. POLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 127. POLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 128. POLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 129. QATAR ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 130. QATAR ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 131. QATAR ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 132. RUSSIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 133. RUSSIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 134. RUSSIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 135. SAUDI ARABIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 136. SAUDI ARABIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 137. SAUDI ARABIA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 138. SOUTH AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 139. SOUTH AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 140. SOUTH AFRICA ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 141. SPAIN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 142. SPAIN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 143. SPAIN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 144. SWEDEN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 145. SWEDEN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 146. SWEDEN ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 147. SWITZERLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 148. SWITZERLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 149. SWITZERLAND ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 150. TURKEY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 151. TURKEY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 152. TURKEY ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 153. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 154. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 155. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 156. UNITED KINGDOM ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 157. UNITED KINGDOM ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 158. UNITED KINGDOM ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SIZE, BY INDUSTRY VERTICAL, 2018-2030 (USD MILLION)
• TABLE 159. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 160. ARTIFICIAL INTELLIGENCE BASED PERSONALIZATION MARKET, FPNV POSITIONING MATRIX, 2023

The Artificial Intelligence based Personalization Market was valued at USD 3.84 billion in 2023, expected to reach USD 4.54 billion in 2024, and is projected to grow at a CAGR of 18.62%, to USD 12.71 billion by 2030.

Artificial Intelligence (AI) based personalization leverages machine learning algorithms and data analytics to tailor content, products, and services to individual user preferences and behaviors. This personalized approach is necessary for enhancing customer experience, increasing engagement, and driving conversion rates, making it vital across industries such as retail, healthcare, finance, and entertainment. The application scope extends from personalized recommendations in e-commerce platforms to targeted advertising in digital marketing and personalized learning paths in education. The end-use scope primarily includes industries focused on direct consumer engagement and service delivery, including financial services, hospitality, and media.

Market insights reveal significant growth opportunities driven by the increasing demand for enhanced customer experiences and the accelerating digital transformation across sectors. Key growth factors include advancements in AI technology, the proliferation of big data, and consumer expectations for personalized interactions. Potential opportunities are arising from sectors still in the early stages of adopting AI personalization, such as small and medium-sized businesses, and industries facing rising competition in customer retention. To capture these opportunities, businesses should invest in robust data collection and analysis capabilities, and ensure ethical data handling practices to build consumer trust.

However, challenges such as data privacy concerns, the necessity for vast amounts of high-quality data, and the technical complexity of implementing AI solutions may restrain market growth. Moreover, regulatory pressures related to data protection, like GDPR, present additional hurdles. Innovation and research are ripe in developing more efficient algorithms that require less data, enhancing privacy-preserving technologies, and exploring new AI applications in untapped sectors. The market is dynamic, characterized by rapid technological advancements and evolving consumer expectations, necessitating businesses to stay agile and adopt a continuous learning approach for sustained growth. Collaborating with tech firms and investing in AI talent are strategic steps for gaining a competitive edge.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence based Personalization Market

The Artificial Intelligence based Personalization Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • The shift towards data-driven marketing strategies among industries
  • Increasing demand for enhanced customer experiences in e-commerce and online platform
  • Increase data volume and for enhanced data security solutions
• Market Restraints
  • Data privacy and security concerns associated with AI-based personalization
• Market Opportunities
  • Advancements in machine learning algorithms and natural language processing
  • Burgeoning demand from the banking and financial sectors
• Market Challenges
  • High cost associated with the integration of AI-based personalization

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence based Personalization Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence based Personalization Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence based Personalization Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence based Personalization Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence based Personalization Market

A detailed market share analysis in the Artificial Intelligence based Personalization Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence based Personalization Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence based Personalization Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence based Personalization Market

A strategic analysis of the Artificial Intelligence based Personalization Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence based Personalization Market, highlighting leading vendors and their innovative profiles. These include Abmatic AI, 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, Oracle Corporation, Salesforce, Inc, SAP SE, and Simplify360 Inc..

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence based Personalization Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Technology, market is studied across Collaborative Filtering, Contextual Bandit Algorithms, Deep Learning, Machine Learning Algorithms, Natural Language Processing, Neural Networks, Predictive Analytics, and Reinforcement Learning.
• Based on Application, market is studied across Ad Targeting & Retargeting, Content Customization, Email Marketing Personalization, Personalized Customer Service, Search Result Personalization, Social Media Personalization, and Website & App Personalization.
• Based on Industry Vertical, market is studied across Automotive, e-Commerce & Retail, Financial Services, Healthcare, Media & Entertainment, Telecommunications, and Travel & Hospitality.
• 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.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

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. The shift towards data-driven marketing strategies among industries
    • 5.1.1.2. Increasing demand for enhanced customer experiences in e-commerce and online platform
    • 5.1.1.3. Increase data volume and for enhanced data security solutions
  • 5.1.2. Restraints
    • 5.1.2.1. Data privacy and security concerns associated with AI-based personalization
  • 5.1.3. Opportunities
    • 5.1.3.1. Advancements in machine learning algorithms and natural language processing
    • 5.1.3.2. Burgeoning demand from the banking and financial sectors
  • 5.1.4. Challenges
    • 5.1.4.1. High cost associated with the integration of AI-based personalization
• 5.2. Market Segmentation Analysis
  • 5.2.1. Technology: Integration of advanced technology in AI powered personalization to enhance highly individualized user experiences
  • 5.2.2. Application: Exponential usage of personalization AI in enterprises for process optimization and elevating customer satisfaction
• 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 Technology

• 6.1. Introduction
• 6.2. Collaborative Filtering
• 6.3. Contextual Bandit Algorithms
• 6.4. Deep Learning
• 6.5. Machine Learning Algorithms
• 6.6. Natural Language Processing
• 6.7. Neural Networks
• 6.8. Predictive Analytics
• 6.9. Reinforcement Learning

7. Artificial Intelligence based Personalization Market, by Application

• 7.1. Introduction
• 7.2. Ad Targeting & Retargeting
• 7.3. Content Customization
• 7.4. Email Marketing Personalization
• 7.5. Personalized Customer Service
• 7.6. Search Result Personalization
• 7.7. Social Media Personalization
• 7.8. Website & App Personalization

8. Artificial Intelligence based Personalization Market, by Industry Vertical

• 8.1. Introduction
• 8.2. Automotive
• 8.3. e-Commerce & Retail
• 8.4. Financial Services
• 8.5. Healthcare
• 8.6. Media & Entertainment
• 8.7. Telecommunications
• 8.8. 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, 2023
• 12.2. FPNV Positioning Matrix, 2023
• 12.3. Competitive Scenario Analysis
  • 12.3.1. Stellantis to Enhance Personalized Mobility Experience with Acquisition of CloudMade's Artificial Intelligence Technologies and IP
  • 12.3.2. Zoovu Unveils Generative AI Solution to Provide Personalized Buying Experiences
  • 12.3.3. Intent HQ Merges with Anagog to Advance Generative AI for Personal Relevance
• 12.4. Strategy Analysis & Recommendation

Companies Mentioned

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