eコマースにおける人工知能の世界市場レポート 2025年

eコマースにおける人工知能の市場規模は今後数年で急成長が見込まれます。2029年にはCAGR15.6％で164億2,000万米ドルに成長します。予測期間における成長の背景には、顧客データ分析への注目の高まり、eコマースにおけるAIへの投資の増加、AIを活用した商品レコメンデーションへの需要の高まり、サプライチェーン管理におけるAIの活用の増加、不正検知におけるAIの活用の増加があります。予測期間の主な動向には、AIの技術的進歩、音声コマースの拡大、サプライチェーンの最適化、AIによるカスタマーサポートの強化、会話型eコマースなどがあります。

オンラインショッピングの急増は、今後数年間、eコマース市場における人工知能の成長を促進すると予想されます。オンライン・ショッピングでは、ウェブ・ブラウザやモバイル・アプリを使用して、インターネット経由で売り手から商品やサービスを購入します。eコマースでは、人工知能を活用して顧客体験を向上させ、価格の最適化や在庫管理などの業務運営を効率化しています。例えば、カナダを拠点とするeコマース企業のShopify Inc.は2023年8月、世界のeコマース市場が2025年までに4兆8,000億米ドルに達し、その後も成長が続くと予測しました。この動向は、オンライン小売業者にとって越境ECの収益性が高まっていることを裏付けています。2027年までには、小売総売上高の約23％がオンラインで行われるようになると予想されています。その結果、オンラインショッピングの増加がeコマース分野における人工知能の拡大に拍車をかけています。

インターネット普及率の高まりは、将来的にeコマース市場における人工知能の拡大を促進することになると思われます。インターネット普及率は、インターネットにアクセスできる人口またはグループの割合として定義され、eコマースにおける人工知能の採用を促進する上で重要な役割を果たしています。これは、豊富なデータを提供し、顧客基盤を拡大し、ショッピング体験の様々な側面を強化し、業務効率と競合を強化することによって達成されます。2023年9月現在、米国を拠点とするインターネットとTVプロバイダーのデータを専門とするBroadband Search社のレポートによると、現在、米国の人口の93.79％、約3億1,130万人がインターネットにアクセスしていると推定されています。したがって、インターネット普及率の増加は、eコマース市場における人工知能の原動力となっています。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場- 金利、インフレ、地政学、コロナ、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

• 世界eコマースにおける人工知能PESTEL分析（政治、社会、技術、環境、法的要因、促進要因、抑制要因）
• 最終用途産業の分析
• 世界のeコマースにおける人工知能市場：成長率分析
• 世界のeコマースにおける人工知能市場の実績：規模と成長, 2019-2024
• 世界のeコマースにおける人工知能市場の予測：規模と成長, 2024-2029, 2034F
• 世界eコマースにおける人工知能総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界のeコマースにおける人工知能市場：技術別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 自然言語処理（NLP）
• ディープラーニング
• 機械学習
• 世界のeコマースにおける人工知能市場：展開別、実績と予測, 2019-2024, 2024-2029F, 2034F
• クラウド
• オンプレミス
• 世界のeコマースにおける人工知能市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 顧客関係管理
• サプライチェーン分析
• 偽レビュー分析
• 倉庫自動化
• マーチャンダイジング
• 製品の推奨
• 顧客サービス
• その他の用途
• 世界のeコマースにおける人工知能市場：エンドユーザー別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 情報技術（IT）と通信
• 小売業とeコマース
• 銀行、金融サービスおよび保険（BFSI）
• ヘルスケア
• 製造業
• 自動車
• その他のエンドユーザー
• 世界のeコマースにおける人工知能市場自然言語処理（NLP）のサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• チャットボットとバーチャルアシスタント
• 感情分析ツール
• 言語翻訳サービス
• テキスト分析
• 世界のeコマースにおける人工知能市場、ディープラーニングのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 画像認識システム
• 推奨エンジン
• 顧客行動予測モデル
• 不正検出システム
• 世界のeコマースにおける人工知能市場機械学習のサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 予測分析
• パーソナライゼーションアルゴリズム
• 在庫管理ソリューション
• ダイナミック価格モデル

第7章 地域別・国別分析

• 世界のeコマースにおける人工知能市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界のeコマースにおける人工知能市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• eコマースにおける人工知能市場：競合情勢
• eコマースにおける人工知能市場：企業プロファイル
  • Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Google LLC Overview, Products and Services, Strategy and Financial Analysis
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Siemens AG Overview, Products and Services, Strategy and Financial Analysis

第31章 その他の大手企業と革新的企業

• Intel Corporation
• The International Business Machines Corporation
• Oracle Corporation
• SAP SE
• Nvidia Corporation
• Sentient Technologies
• Bloomreach
• Aidaptive
• Coveo
• Dynamic Yield
• Persado
• Emarsys eMarketing Systems
• Syte
• Bluecore
• Twiggle

第32章 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

• eコマースにおける人工知能市場2029：新たな機会を提供する国
• eコマースにおける人工知能市場2029：新たな機会を提供するセグメント
• eコマースにおける人工知能市場2029：成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

Artificial intelligence (AI) in e-commerce involves the utilization of AI technologies and methodologies to enhance different facets of online shopping and elevate the overall customer experience within the realm of electronic commerce. AI plays a crucial role in e-commerce by improving customer interactions, boosting sales, streamlining operations, and reducing costs.

The key technologies for implementing artificial intelligence in e-commerce encompass natural language processing (NLP), deep learning, and machine learning. Natural language processing is a branch of AI that centers on the interaction between computers and human language. These AI technologies can be deployed through various methods, including cloud-based and on-premise solutions. They are applied in diverse e-commerce applications such as customer relationship management, supply chain analysis, analysis of fraudulent reviews, warehouse automation, merchandising, product recommendations, customer service, and more. These applications cater to various industries and end-users, including information technology and telecommunications, retail and e-commerce, banking, financial services, insurance (BFSI), healthcare, manufacturing, automotive, and others.

The artificial intelligence in e-commerce market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence in e-commerce market statistics, including artificial intelligence in e-commerce industry global market size, regional shares, competitors with artificial intelligence in e-commerce market share, detailed artificial intelligence in e-commerce market segments, market trends and opportunities and any further data you may need to thrive in the artificial intelligence in the e-commerce industry. This artificial intelligence in e-commerce market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence in e-commerce market size has grown rapidly in recent years. It will grow from $8.06 billion in 2024 to $9.19 billion in 2025 at a compound annual growth rate (CAGR) of 14.0%. The growth in the historic period can be attributed to demand for personalized shopping experiences, improved search and discovery, chatbots and virtual assistants, government support for ai development.

The artificial intelligence in e-commerce market size is expected to see rapid growth in the next few years. It will grow to $16.42 billion in 2029 at a compound annual growth rate (CAGR) of 15.6%. The growth in the forecast period can be attributed to increasing focus on customer data analytics, increasing investments in the ai in e-commerce, growing demand for ai-powered product recommendations, increasing use of ai in supply chain management, increasing use of ai in fraud detection. Major trends in the forecast period include technological advancements in ai, voice commerce expansion, supply chain optimization, ai-enhanced customer support, conversational e-commerce.

The surge in online shopping is anticipated to drive the growth of artificial intelligence in the e-commerce market in the coming years. Online shopping involves purchasing goods or services from a seller via the Internet using a web browser or mobile app. In e-commerce, artificial intelligence is leveraged to improve the customer experience and streamline business operations, such as optimizing prices and managing inventory. For example, in August 2023, Shopify Inc., a Canada-based e-commerce company, projected that the global e-commerce market would reach $4.8 trillion by 2025, with continued growth expected in subsequent years. This trend underscores the growing profitability of cross-border e-commerce for online retailers. By 2027, it's expected that approximately 23% of total retail sales will occur online. Consequently, the increase in online shopping is fueling the expansion of artificial intelligence within the e-commerce sector.

The growing internet penetration is set to drive the expansion of the artificial intelligence in the e-commerce market in the future. Internet penetration, defined as the percentage of a given population or group with internet access, plays a crucial role in fueling the adoption of AI in e-commerce. It achieves this by providing a wealth of data, expanding the customer base, and enhancing various aspects of the shopping experience, as well as operational efficiency and competitiveness. As of September 2023, reports from Broadband Search, a US-based company specializing in internet and TV provider data, estimate that 93.79% of the United States' population, approximately 311.3 million individuals, currently have access to the internet. Therefore, the increasing internet penetration is a driving force behind the artificial intelligence in the e-commerce market.

Privacy-related concerns linked to the utilization of AI in e-commerce pose a substantial obstacle to the growth of the artificial intelligence (AI) market within the e-commerce industry. It is vital for e-commerce businesses to effectively address these privacy concerns to ensure the widespread adoption and advancement of AI technology in this sector. For example, as of October 2021, a study reported by Commerce Times, a US-based publication, revealed that approximately 70% of consumers abandon their purchases due to apprehensions related to privacy. As a result, these privacy concerns regarding AI deployment in e-commerce are impeding the prospective growth of the artificial intelligence market in the e-commerce sector.

Prominent firms operating within the artificial intelligence in the e-commerce sector are actively pursuing the development of innovative technologies, such as generative AI e-commerce SaaS solutions, to maintain their competitive edge in the market. These generative AI technologies integrated into e-commerce SaaS platforms empower users by offering personalized, automated inventory management and cutting-edge product discovery experiences. As an illustrative example, in May 2023, Hype, an e-commerce company based in India, introduced a generative AI-driven e-commerce Software-as-a-Service (SaaS) platform. This pioneering platform has the potential to transform the landscape of online commerce by granting merchants the capability to establish, optimize, and oversee their online stores. Its foundation relies on a sophisticated artificial intelligence and machine learning framework that continuously learns and adapts to the unique data patterns of each individual store.

In February 2023, eBay Inc., a US-based e-commerce company at the forefront of artificial intelligence, completed the acquisition of 3PM Shield LLC for an undisclosed sum. This strategic move by eBay is designed to provide both sellers and customers with a safe and dependable platform that harnesses advanced technology. Additionally, it will expedite the implementation of state-of-the-art technology aimed at combating counterfeit products, unsafe merchandise, and illegal items. 3PM Shield LLC, a US-based software firm, specializes in delivering market compliance solutions that enhance the e-commerce experiences of customers through the integration of artificial intelligence.

Major companies operating in the artificial intelligence in e-commerce market are Apple Inc., Google LLC, Microsoft Corporation, Amazon Web Services Inc., Siemens AG, Intel Corporation, The International Business Machines Corporation, Oracle Corporation, SAP SE, Nvidia Corporation, Sentient Technologies, Bloomreach, Aidaptive, Coveo, Dynamic Yield, Persado, Emarsys eMarketing Systems, Syte, Bluecore, Twiggle, Kindred AI, ViSenze, Gorgias, Layer 6 Inc., Nauto.

North America was the largest region in the artificial intelligence in e-commerce market in 2024. The regions covered in artificial intelligence in the e-commerce report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the artificial intelligence in the e-commerce market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence in the e-commerce market consists of revenues earned by entities by providing personalized recommendations, voice commerce and virtual assistants. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in the e-commerce market also includes of sales of inventory management systems, visual search tools and dynamic pricing tools. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence In E-commerce Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence in e-commerce market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for artificial intelligence in e-commerce ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The artificial intelligence in e-commerce market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Technology: Natural language processing (NLP); Deep Learning; Machine Learning
• 2) By Deployment: Cloud; On-Premise
• 3) By Application: Customer Relationship Management; Supply Chain Analysis; Fake Review Analysis; Warehouse Automation; Merchandizing; Product Recommendation; Customer Service; Other Applications
• 4) By End User: Information Technology(IT) And Telecommunication; Retail And E-Commerce; Banking, Financial Services and Insurance (BFSI); Healthcare; Manufacturing; Automotive; Other End User
• Subsegments:
• 1) By Natural Language Processing (NLP): Chatbots And Virtual Assistants; Sentiment Analysis Tools; Language Translation Services; Text Analytics
• 2) By Deep Learning: Image Recognition Systems; Recommendation Engines; Customer Behavior Prediction Models; Fraud Detection Systems
• 3) By Machine Learning: Predictive Analytics; Personalization Algorithms; Inventory Management Solutions; Dynamic Pricing Models
• Companies Mentioned: Apple Inc.; Google LLC; Microsoft Corporation; Amazon Web Services Inc.; Siemens AG
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Artificial Intelligence In E-commerce Market Characteristics

3. Artificial Intelligence In E-commerce Market Trends And Strategies

4. Artificial Intelligence In E-commerce Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Artificial Intelligence In E-commerce Growth Analysis And Strategic Analysis Framework

• 5.1. Global Artificial Intelligence In E-commerce PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 5.2. Analysis Of End Use Industries
• 5.3. Global Artificial Intelligence In E-commerce Market Growth Rate Analysis
• 5.4. Global Artificial Intelligence In E-commerce Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
• 5.5. Global Artificial Intelligence In E-commerce Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
• 5.6. Global Artificial Intelligence In E-commerce Total Addressable Market (TAM)

6. Artificial Intelligence In E-commerce Market Segmentation

• 6.1. Global Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Natural language processing (NLP)
• Deep Learning
• Machine Learning
• 6.2. Global Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Cloud
• On-Premise
• 6.3. Global Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Customer Relationship Management
• Supply Chain Analysis
• Fake Review Analysis
• Warehouse Automation
• Merchandizing
• Product Recommendation
• Customer Service
• Other Applications
• 6.4. Global Artificial Intelligence In E-commerce Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Information Technology(IT) And Telecommunication
• Retail And E-Commerce
• Banking, Financial Services and Insurance (BFSI)
• Healthcare
• Manufacturing
• Automotive
• Other End User
• 6.5. Global Artificial Intelligence In E-commerce Market, Sub-Segmentation Of Natural Language Processing (NLP), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Chatbots And Virtual Assistants
• Sentiment Analysis Tools
• Language Translation Services
• Text Analytics
• 6.6. Global Artificial Intelligence In E-commerce Market, Sub-Segmentation Of Deep Learning, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Image Recognition Systems
• Recommendation Engines
• Customer Behavior Prediction Models
• Fraud Detection Systems
• 6.7. Global Artificial Intelligence In E-commerce Market, Sub-Segmentation Of Machine Learning, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Predictive Analytics
• Personalization Algorithms
• Inventory Management Solutions
• Dynamic Pricing Models

7. Artificial Intelligence In E-commerce Market Regional And Country Analysis

• 7.1. Global Artificial Intelligence In E-commerce Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global Artificial Intelligence In E-commerce Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Artificial Intelligence In E-commerce Market

• 8.1. Asia-Pacific Artificial Intelligence In E-commerce Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 8.2. Asia-Pacific Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Artificial Intelligence In E-commerce Market

• 9.1. China Artificial Intelligence In E-commerce Market Overview
• 9.2. China Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Artificial Intelligence In E-commerce Market

• 10.1. India Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Artificial Intelligence In E-commerce Market

• 11.1. Japan Artificial Intelligence In E-commerce Market Overview
• 11.2. Japan Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Artificial Intelligence In E-commerce Market

• 12.1. Australia Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Artificial Intelligence In E-commerce Market

• 13.1. Indonesia Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Artificial Intelligence In E-commerce Market

• 14.1. South Korea Artificial Intelligence In E-commerce Market Overview
• 14.2. South Korea Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Artificial Intelligence In E-commerce Market

• 15.1. Western Europe Artificial Intelligence In E-commerce Market Overview
• 15.2. Western Europe Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Artificial Intelligence In E-commerce Market

• 16.1. UK Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Artificial Intelligence In E-commerce Market

• 17.1. Germany Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Artificial Intelligence In E-commerce Market

• 18.1. France Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Artificial Intelligence In E-commerce Market

• 19.1. Italy Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Artificial Intelligence In E-commerce Market

• 20.1. Spain Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Artificial Intelligence In E-commerce Market

• 21.1. Eastern Europe Artificial Intelligence In E-commerce Market Overview
• 21.2. Eastern Europe Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Artificial Intelligence In E-commerce Market

• 22.1. Russia Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Artificial Intelligence In E-commerce Market

• 23.1. North America Artificial Intelligence In E-commerce Market Overview
• 23.2. North America Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Artificial Intelligence In E-commerce Market

• 24.1. USA Artificial Intelligence In E-commerce Market Overview
• 24.2. USA Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Artificial Intelligence In E-commerce Market

• 25.1. Canada Artificial Intelligence In E-commerce Market Overview
• 25.2. Canada Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Artificial Intelligence In E-commerce Market

• 26.1. South America Artificial Intelligence In E-commerce Market Overview
• 26.2. South America Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Artificial Intelligence In E-commerce Market

• 27.1. Brazil Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Artificial Intelligence In E-commerce Market

• 28.1. Middle East Artificial Intelligence In E-commerce Market Overview
• 28.2. Middle East Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Artificial Intelligence In E-commerce Market

• 29.1. Africa Artificial Intelligence In E-commerce Market Overview
• 29.2. Africa Artificial Intelligence In E-commerce Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Artificial Intelligence In E-commerce Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Artificial Intelligence In E-commerce Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Artificial Intelligence In E-commerce Market Competitive Landscape And Company Profiles

• 30.1. Artificial Intelligence In E-commerce Market Competitive Landscape
• 30.2. Artificial Intelligence In E-commerce Market Company Profiles
  • 30.2.1. Apple Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Google LLC Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Siemens AG Overview, Products and Services, Strategy and Financial Analysis

31. Artificial Intelligence In E-commerce Market Other Major And Innovative Companies

• 31.1. Intel Corporation
• 31.2. The International Business Machines Corporation
• 31.3. Oracle Corporation
• 31.4. SAP SE
• 31.5. Nvidia Corporation
• 31.6. Sentient Technologies
• 31.7. Bloomreach
• 31.8. Aidaptive
• 31.9. Coveo
• 31.10. Dynamic Yield
• 31.11. Persado
• 31.12. Emarsys eMarketing Systems
• 31.13. Syte
• 31.14. Bluecore
• 31.15. Twiggle

32. Global Artificial Intelligence In E-commerce Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence In E-commerce Market

34. Recent Developments In The Artificial Intelligence In E-commerce Market

35. Artificial Intelligence In E-commerce Market High Potential Countries, Segments and Strategies

• 35.1 Artificial Intelligence In E-commerce Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Artificial Intelligence In E-commerce Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Artificial Intelligence In E-commerce Market In 2029 - Growth Strategies
  • 35.3.1 Market Trend Based Strategies
  • 35.3.2 Competitor Strategies

36. Appendix

• 36.1. Abbreviations
• 36.2. Currencies
• 36.3. Historic And Forecast Inflation Rates
• 36.4. Research Inquiries
• 36.5. The Business Research Company
• 36.6. Copyright And Disclaimer