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小売業におけるコグニティブコンピューティングの世界市場、コンポーネント別(プラットフォーム、サービス(マネージド、プロフェッショナル))、技術別(機械学習、自然言語処理、深層学習、ロボティクス、コンピュータ/マシンビジョン)、展開別(クラウド、オンプレミス)、アプリケーション別(顧客体験、価格最適化、需要予測、在庫管理、オートメーション、その他)、地域別、競争予測&機会、2026年


Global Cognitive Computing in Retail Market, By Component (Platform, Services (Managed, Professional)), By Technology (Machine Learning, Natural Language Processing, Deep Learning, Robotics, Computer / Machine Vision), By Deployment (Cloud, On-Premises), By Application (Customer Experience, Price Optimization, Demand Forecasting, Inventory Management, Automation, Others), By Region, Competition Forecast & Opportunities, 2026

小売業におけるコグニティブ・コンピューティングの世界市場は、予測期間中に大きな成長を遂げると予想されています。コグニティブ・コンピューティングは、膨大な量のデータを正確に分析します。自然言語、画像... もっと見る

 

 

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TechSci Research
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2022年7月1日 US$4,900
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115 英語

 

サマリー

小売業におけるコグニティブ・コンピューティングの世界市場は、予測期間中に大きな成長を遂げると予想されています。コグニティブ・コンピューティングは、膨大な量のデータを正確に分析します。自然言語、画像、パターン認識などを理解し、消費者に強化されたショッピング体験を提供し、組織がスマートな意思決定を行うのを支援します。オンライン・チャネルでの購入を好む消費者の変化は、小売業界の運営に影響を及ぼしています。顧客を引き付けるために市場参加者が提供する有利な割引とともに、インタラクティブなプラットフォームの開発が、オンライン販売チャネル市場の成長を加速しています。システムの効率を高めるためのクラウドコンピューティング技術の進歩のための継続的な研究開発活動は、今後5年間で市場の成長を促進することが期待されます。消費者の支出能力の向上により、スマートデバイスの売上が伸びています。組織は、他の運用経費を削減するためにコグニティブ・コンピューティング・ソリューションを積極的に活用しており、市場成長の道を開くと期待されています。消費者行動を分析するためのリアルタイムモニタリングのためのモノのインターネット技術の採用が進んでいることや、5G技術の展開が小売市場におけるコグニティブコンピューティングの需要に影響を与えている。
小売業におけるコグニティブコンピューティングの世界市場は、コンポーネント、技術、展開、アプリケーション、地域分布、企業などに区分されます。地域別分析によると、予測期間である2022~2026年の間、北米が市場を支配すると予測される。政府の支援政策と組織による先進技術の高い採用が、同地域の市場成長を促進しています。大手市場プレイヤーの存在と、コグニティブコンピューティングソリューションを採用する新興企業の存在が、市場成長に影響を与えると予想されます。
小売業におけるコグニティブ・コンピューティングの世界市場で事業を展開している主要企業は、SparkCognition, Inc.、Expert System USA、IBM Corporation、Microsoft Corporation、Google LLC、Teradata Corporation、Cisco Systems, Inc、Hewlett Packard Enterprises Co. CognitiveScale, Inc、 Deepmind Technologies、Amazon Web Services, Inc、 Enterra Solutions LLC、SAS Institute, Inc、 Virtusa Corporation、Tata Consultancy Services Ltd. などです。主要企業は、市場での競争力を維持するために、先進的な技術の開発や新しいサービスの提供を開始しています。その他の競争戦略としては、M&Aや新サービスの開発などがあります。
本レポートで考慮した年数
過去年:2016年~2019年
基準年:2020年
予測年:2021年
予測年:2022年〜2026年
本調査の目的
- 2016年から2019年までの小売業におけるコグニティブコンピューティングの世界市場規模の過去成長を分析すること。
- 2020年から2026年までの世界の小売業におけるコグニティブコンピューティングの市場規模および2026年までの成長率を予測・推計すること。
- コンポーネント、技術、展開、用途、地域分布、企業に基づいて世界の小売業におけるコグニティブコンピューティング市場を分類・予測する。
- 小売業におけるコグニティブコンピューティングの世界における支配的な地域やセグメントを特定する。
- 小売業におけるコグニティブコンピューティングの世界市場の促進要因と課題を特定する。
- 小売業におけるコグニティブコンピューティングの世界市場における拡張、新製品発表、M&Aなどの競争的発展を調査する。
- 小売業におけるコグニティブコンピューティングの世界市場で事業を展開する主要企業のプロファイルを特定し、分析する。
- 世界の小売業におけるコグニティブコンピューティング市場で市場参入企業が採用する主要な持続可能な戦略を特定する。
TechSci Researchは、本調査のために一次調査と徹底的な二次調査の両方を実施しました。まず、TechSci Researchは世界中のサービスプロバイダのリストを入手した。その後、TechSci Researchは特定した企業に対して一次調査の調査を実施した。インタビューを行う際に、回答者には競合他社についても質問しました。この手法により、TechSci Research は、二次調査の制限により特定できなかったサービスプロバイダを含めることができました。TechSci Research は、世界中のサービスプロバイダ、流通チャネル、すべての主要プレイヤーの存在を分析しました。
TechSci Researchは、様々なエンドユーザセグメントのデータを記録し、将来年を予測するボトムアップアプローチを用いて、小売業におけるコグニティブコンピューティングの世界市場規模を算出した。TechSci Researchは、これらの値を業界の専門家や企業の代表者から入手し、適切で全体的な市場規模を得るためにこれらの製品タイプやアプリケーションの履歴データの分析を通じて外部で検証した。企業のウェブサイト、ニュース記事、プレスリリース、企業の年次報告書、投資家向けプレゼンテーション、財務報告書など、さまざまな二次資料もTechSci Researchによって調査されました。
主な対象読者
- 小売業におけるコグニティブコンピューティングのサービスプロバイダ企業
- 市場調査会社およびコンサルティング会社
- 規制当局や政策立案者などの政府機関
- 小売業におけるコグニティブコンピューティング市場に関連する組織、フォーラム、アライアンス
本調査は、サービスプロバイダ、サプライヤとパートナー、エンドユーザなどの業界関係者にとって重要ないくつかの重要な質問に対する回答を提供し、さらに、投資戦略を立て、市場機会を活用する上で有用である。
レポートの範囲
本レポートでは、小売業におけるコグニティブコンピューティングの世界市場を、以下に詳述した業界動向に加えて、以下のカテゴリーに分類しています。
- 小売業におけるコグニティブコンピューティングの世界市場:コンポーネント別
o プラットフォーム
o サービス
マネージド
プロフェッショナル
- 小売業におけるコグニティブコンピューティングの世界市場:技術別
o 機械学習
o 自然言語処理
o ディープラーニング
o ロボティクス
o コンピュータ/マシンビジョン
- 小売業におけるコグニティブコンピューティングの世界市場、デプロイメント別。
o クラウド
o オンプレミス
- 小売業におけるコグニティブコンピューティングの世界市場:アプリケーション別
o カスタマーエクスペリエンス
o 価格最適化
o 需要予測
o 在庫管理
o 自動化
o その他
- 小売業におけるコグニティブコンピューティングの世界市場、地域別
o アジア太平洋地域
中国
インド
オーストラリア
日本
韓国
o ヨーロッパ
フランス
ドイツ
イギリス
イタリア
スペイン
o 北米
米国
カナダ
メキシコ
o 南アメリカ
ブラジル
アルゼンチン
コロンビア
o 中東・アフリカ
南アフリカ共和国
サウジアラビア
UAE
競合他社の状況
企業プロファイル。小売業におけるコグニティブコンピューティングの世界市場における主要企業の詳細な分析。
利用可能なカスタマイズ。
TechSci Researchでは、与えられた市場データをもとに、企業の特定のニーズに応じたカスタマイズを提供しています。本レポートでは、以下のカスタマイズが可能です。
企業情報
- 追加市場プレイヤーの詳細分析とプロファイリング(最大5社まで)。

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目次

1. Product Overview
2. Research Methodology
3. Impact of COVID-19 on Global Cognitive Computing in Retail Market
4. Executive Summary
5. Voice of Customer
5.1. Cognitive Computing Awareness
5.2. Cognitive Computing in Retail Adoption Readiness
5.3. Key Reasons to Adopt Cognitive Computing in Retail
5.4. Satisfaction Levels Based on Various Parameters
5.5. Key Challenges Mitigated by Adoption of Cognitive Computing in Retail
5.6. Key Challenges Faced in Adoption of Cognitive Computing
6. Global Cognitive Computing in Retail Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component (Platform, Services (Managed, Professional))
6.2.2. By Technology (Machine Learning, Natural Language Processing, Deep Learning, Robotics, Computer / Machine Vision)
6.2.3. By Deployment (Cloud, On-Premises)
6.2.4. By Application (Customer Experience, Price Optimization, Demand Forecasting, Inventory Management, Automation, Others)
6.2.5. By Company (2020)
6.2.6. By Region
6.3. Market Attractiveness Index
7. Asia-Pacific Cognitive Computing in Retail Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component
7.2.2. By Technology
7.2.3. By Deployment
7.2.4. By Application
7.2.5. By Country
7.3. Asia-Pacific: Country Analysis
7.3.1. China Cognitive Computing in Retail Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Component
7.3.1.2.2. By Technology
7.3.1.2.3. By Deployment
7.3.1.2.4. By Application
7.3.2. India Cognitive Computing in Retail Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Component
7.3.2.2.2. By Technology
7.3.2.2.3. By Deployment
7.3.2.2.4. By Application
7.3.3. Australia Cognitive Computing in Retail Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Component
7.3.3.2.2. By Technology
7.3.3.2.3. By Deployment
7.3.3.2.4. By Application
7.3.4. Japan Cognitive Computing in Retail Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Component
7.3.4.2.2. By Technology
7.3.4.2.3. By Deployment
7.3.4.2.4. By Application
7.3.5. South Korea Cognitive Computing in Retail Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Component
7.3.5.2.2. By Technology
7.3.5.2.3. By Deployment
7.3.5.2.4. By Application
8. Europe Cognitive Computing in Retail Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Technology
8.2.3. By Deployment
8.2.4. By Application
8.2.5. By Country
8.3. Europe: Country Analysis
8.3.1. France Cognitive Computing in Retail Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Component
8.3.1.2.2. By Technology
8.3.1.2.3. By Deployment
8.3.1.2.4. By Application
8.3.2. Germany Cognitive Computing in Retail Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Component
8.3.2.2.2. By Technology
8.3.2.2.3. By Deployment
8.3.2.2.4. By Application
8.3.3. United Kingdom Cognitive Computing in Retail Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Component
8.3.3.2.2. By Technology
8.3.3.2.3. By Deployment
8.3.3.2.4. By Application
8.3.4. Italy Cognitive Computing in Retail Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Component
8.3.4.2.2. By Technology
8.3.4.2.3. By Deployment
8.3.4.2.4. By Application
8.3.5. Spain Cognitive Computing in Retail Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Component
8.3.5.2.2. By Technology
8.3.5.2.3. By Deployment
8.3.5.2.4. By Application
9. North America Cognitive Computing in Retail Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Technology
9.2.3. By Deployment
9.2.4. By Application
9.2.5. By Country
9.3. North America: Country Analysis
9.3.1. United States Cognitive Computing in Retail Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Component
9.3.1.2.2. By Technology
9.3.1.2.3. By Deployment
9.3.1.2.4. By Application
9.3.2. Mexico Cognitive Computing in Retail Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Component
9.3.2.2.2. By Technology
9.3.2.2.3. By Deployment
9.3.2.2.4. By Application
9.3.3. Canada Cognitive Computing in Retail Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Component
9.3.3.2.2. By Technology
9.3.3.2.3. By Deployment
9.3.3.2.4. By Application
10. South America Cognitive Computing in Retail Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Technology
10.2.3. By Deployment
10.2.4. By Application
10.2.5. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Cognitive Computing in Retail Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Component
10.3.1.2.2. By Technology
10.3.1.2.3. By Deployment
10.3.1.2.4. By Application
10.3.2. Argentina Cognitive Computing in Retail Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Component
10.3.2.2.2. By Technology
10.3.2.2.3. By Deployment
10.3.2.2.4. By Application
10.3.3. Colombia Cognitive Computing in Retail Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Component
10.3.3.2.2. By Technology
10.3.3.2.3. By Deployment
10.3.3.2.4. By Application
11. Middle East and Africa Cognitive Computing in Retail Market Outlook
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Component
11.2.2. By Technology
11.2.3. By Deployment
11.2.4. By Application
11.2.5. By Country
11.3. MEA: Country Analysis
11.3.1. South Africa Cognitive Computing in Retail Market Outlook
11.3.1.1. Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2. Market Share & Forecast
11.3.1.2.1. By Component
11.3.1.2.2. By Technology
11.3.1.2.3. By Deployment
11.3.1.2.4. By Application
11.3.2. Saudi Arabia Cognitive Computing in Retail Market Outlook
11.3.2.1. Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2. Market Share & Forecast
11.3.2.2.1. By Component
11.3.2.2.2. By Technology
11.3.2.2.3. By Deployment
11.3.2.2.4. By Application
11.3.3. UAE Cognitive Computing in Retail Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Component
11.3.3.2.2. By Technology
11.3.3.2.3. By Deployment
11.3.3.2.4. By Application
12. Market Dynamics
12.1. Drivers
12.2. Challenges
13. Market Trends & Developments
14. Competitive Landscape
14.1. SparkCognition, Inc.
14.2. Expert System USA
14.3. IBM Corporation
14.4. Microsoft Corporation
14.5. Google LLC
14.6. Teradata Corporation
14.7. Cisco Systems, Inc.
14.8. Hewlett Packard Enterprises Co.
14.9. CognitiveScale, Inc.
14.10. Deepmind Technologies
14.11. Amazon Web Services, Inc.
14.12. Enterra Solutions LLC
14.13. SAS Institute, Inc.
14.14. Virtusa Corporation
14.15. Tata Consultancy Services Ltd.
15. Strategic Recommendations
16. About Us & Disclaimer

 

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Summary

Global cognitive computing in retail market is expected to grow at a significant rate in the forecast period. Cognitive computing analyzes a massive amount of data with accuracy. It can understand the natural language, images, recognize patterns, amongst others to provide an enhanced shopping experience to consumers and help the organization to make smart decisions. Change in the consumer preference to buy through online channels has impacted the operation of the retail industry. Development of interactive platforms along with the lucrative discounts offered by the market players to attract customers is accelerating the online sales channel market growth. Ongoing research and development activities for technological advancements of cloud computing technology to increase the efficiency of the system are expected to fuel the market growth in the next five years. The rise in the expenditure capacity of the consumer is increasing the sales of smart devices. Organizations are actively utilizing cognitive computing solutions to reduce the other operational expenses is expected to pave the way for market growth. The growing adoption of internet of things technology for real-time monitoring to analyze consumer behavior and the roll-out of 5G technology is influencing the demand for cognitive computing in the retail market.
Global cognitive computing in retail market is segmented into component, technology, deployment, application, regional distribution, and company. Based on the regional analysis, North America is expected to dominate the market for the forecast period, 2022-2026. Supportive government policies and high adoption of advanced technologies by the organizations are driving the growth of the market in the region. The presence of major market players coupled with the start-ups adopting cognitive computing solutions is expected to influence the market growth.
The major players operating in the global cognitive computing in retail market are SparkCognition, Inc., Expert System USA, IBM Corporation, Microsoft Corporation, Google LLC, Teradata Corporation, Cisco Systems, Inc., Hewlett Packard Enterprises Co., CognitiveScale, Inc., Deepmind Technologies, Amazon Web Services, Inc., Enterra Solutions LLC, SAS Institute, Inc., Virtusa Corporation, Tata Consultancy Services Ltd., among others. Major companies are developing advanced technologies and launching new services to stay competitive in the market. Other competitive strategies include mergers & acquisitions and new service developments.
Years considered for this report:
Historical Years: 2016-2019
Base Year: 2020
Estimated Year: 2021
Forecast Period: 2022–2026
Objective of the Study:
• To analyze the historical growth of the market size of global cognitive computing in retail market from 2016 to 2019.
• To estimate and forecast the market size of global cognitive computing in retail market from 2020 to 2026 and growth rate until 2026.
• To classify and forecast global cognitive computing in retail market based on component, technology, deployment, application, regional distribution, and company.
• To identify dominant region or segment in the global cognitive computing in retail.
• To identify drivers and challenges for global cognitive computing in retail market.
• To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in global cognitive computing in retail market.
• To identify and analyze the profile of leading players operating in global cognitive computing in retail market.
• To identify key sustainable strategies adopted by market players in global cognitive computing in retail market.
TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across the globe. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the service providers who could not be identified due to the limitations of secondary research. TechSci Research analyzed the service providers, distribution channels and presence of all major players across the globe.
TechSci Research calculated the market size of global cognitive computing in retail market using a bottom-up approach, wherein data for various end-user segments was recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analyzing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations and financial reports were also studied by TechSci Research.
Key Target Audience:
• Cognitive Computing in Retail service provider companies
• Market research and consulting firms
• Government bodies such as regulating authorities and policy makers
• Organizations, forums, and alliances related to cognitive computing in retail market
The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as service providers, suppliers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.
Report Scope:
In this report, global cognitive computing in retail market has been segmented into following categories, in addition to the industry trends which have also been detailed below:
• Global Cognitive Computing in Retail Market, By Component:
o Platform
o Services
 Managed
 Professional
• Global Cognitive Computing in Retail Market, By Technology:
o Machine Learning
o Natural Language Processing
o Deep Learning
o Robotics
o Computer / Machine Vision
• Global Cognitive Computing in Retail Market, By Deployment:
o Cloud
o On-Premises
• Global Cognitive Computing in Retail Market, By Application:
o Customer Experience
o Price Optimization
o Demand Forecasting
o Inventory Management
o Automation
o Others
• Global Cognitive Computing in Retail Market, By Region:
o Asia-Pacific
 China
 India
 Australia
 Japan
 South Korea
o Europe
 France
 Germany
 United Kingdom
 Italy
 Spain
o North America
 United States
 Canada
 Mexico
o South America
 Brazil
 Argentina
 Colombia
o Middle East & Africa
 South Africa
 Saudi Arabia
 UAE
Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in global cognitive computing in retail market.
Available Customizations:
With the given market data, TechSci Research offers customizations according to a company’s specific needs. The following customization options are available for the report:
Company Information
• Detailed analysis and profiling of additional market players (up to five).



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Table of Contents

1. Product Overview
2. Research Methodology
3. Impact of COVID-19 on Global Cognitive Computing in Retail Market
4. Executive Summary
5. Voice of Customer
5.1. Cognitive Computing Awareness
5.2. Cognitive Computing in Retail Adoption Readiness
5.3. Key Reasons to Adopt Cognitive Computing in Retail
5.4. Satisfaction Levels Based on Various Parameters
5.5. Key Challenges Mitigated by Adoption of Cognitive Computing in Retail
5.6. Key Challenges Faced in Adoption of Cognitive Computing
6. Global Cognitive Computing in Retail Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component (Platform, Services (Managed, Professional))
6.2.2. By Technology (Machine Learning, Natural Language Processing, Deep Learning, Robotics, Computer / Machine Vision)
6.2.3. By Deployment (Cloud, On-Premises)
6.2.4. By Application (Customer Experience, Price Optimization, Demand Forecasting, Inventory Management, Automation, Others)
6.2.5. By Company (2020)
6.2.6. By Region
6.3. Market Attractiveness Index
7. Asia-Pacific Cognitive Computing in Retail Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component
7.2.2. By Technology
7.2.3. By Deployment
7.2.4. By Application
7.2.5. By Country
7.3. Asia-Pacific: Country Analysis
7.3.1. China Cognitive Computing in Retail Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Component
7.3.1.2.2. By Technology
7.3.1.2.3. By Deployment
7.3.1.2.4. By Application
7.3.2. India Cognitive Computing in Retail Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Component
7.3.2.2.2. By Technology
7.3.2.2.3. By Deployment
7.3.2.2.4. By Application
7.3.3. Australia Cognitive Computing in Retail Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Component
7.3.3.2.2. By Technology
7.3.3.2.3. By Deployment
7.3.3.2.4. By Application
7.3.4. Japan Cognitive Computing in Retail Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Component
7.3.4.2.2. By Technology
7.3.4.2.3. By Deployment
7.3.4.2.4. By Application
7.3.5. South Korea Cognitive Computing in Retail Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Component
7.3.5.2.2. By Technology
7.3.5.2.3. By Deployment
7.3.5.2.4. By Application
8. Europe Cognitive Computing in Retail Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Technology
8.2.3. By Deployment
8.2.4. By Application
8.2.5. By Country
8.3. Europe: Country Analysis
8.3.1. France Cognitive Computing in Retail Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Component
8.3.1.2.2. By Technology
8.3.1.2.3. By Deployment
8.3.1.2.4. By Application
8.3.2. Germany Cognitive Computing in Retail Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Component
8.3.2.2.2. By Technology
8.3.2.2.3. By Deployment
8.3.2.2.4. By Application
8.3.3. United Kingdom Cognitive Computing in Retail Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Component
8.3.3.2.2. By Technology
8.3.3.2.3. By Deployment
8.3.3.2.4. By Application
8.3.4. Italy Cognitive Computing in Retail Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Component
8.3.4.2.2. By Technology
8.3.4.2.3. By Deployment
8.3.4.2.4. By Application
8.3.5. Spain Cognitive Computing in Retail Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Component
8.3.5.2.2. By Technology
8.3.5.2.3. By Deployment
8.3.5.2.4. By Application
9. North America Cognitive Computing in Retail Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Technology
9.2.3. By Deployment
9.2.4. By Application
9.2.5. By Country
9.3. North America: Country Analysis
9.3.1. United States Cognitive Computing in Retail Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Component
9.3.1.2.2. By Technology
9.3.1.2.3. By Deployment
9.3.1.2.4. By Application
9.3.2. Mexico Cognitive Computing in Retail Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Component
9.3.2.2.2. By Technology
9.3.2.2.3. By Deployment
9.3.2.2.4. By Application
9.3.3. Canada Cognitive Computing in Retail Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Component
9.3.3.2.2. By Technology
9.3.3.2.3. By Deployment
9.3.3.2.4. By Application
10. South America Cognitive Computing in Retail Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Technology
10.2.3. By Deployment
10.2.4. By Application
10.2.5. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Cognitive Computing in Retail Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Component
10.3.1.2.2. By Technology
10.3.1.2.3. By Deployment
10.3.1.2.4. By Application
10.3.2. Argentina Cognitive Computing in Retail Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Component
10.3.2.2.2. By Technology
10.3.2.2.3. By Deployment
10.3.2.2.4. By Application
10.3.3. Colombia Cognitive Computing in Retail Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Component
10.3.3.2.2. By Technology
10.3.3.2.3. By Deployment
10.3.3.2.4. By Application
11. Middle East and Africa Cognitive Computing in Retail Market Outlook
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Component
11.2.2. By Technology
11.2.3. By Deployment
11.2.4. By Application
11.2.5. By Country
11.3. MEA: Country Analysis
11.3.1. South Africa Cognitive Computing in Retail Market Outlook
11.3.1.1. Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2. Market Share & Forecast
11.3.1.2.1. By Component
11.3.1.2.2. By Technology
11.3.1.2.3. By Deployment
11.3.1.2.4. By Application
11.3.2. Saudi Arabia Cognitive Computing in Retail Market Outlook
11.3.2.1. Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2. Market Share & Forecast
11.3.2.2.1. By Component
11.3.2.2.2. By Technology
11.3.2.2.3. By Deployment
11.3.2.2.4. By Application
11.3.3. UAE Cognitive Computing in Retail Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Component
11.3.3.2.2. By Technology
11.3.3.2.3. By Deployment
11.3.3.2.4. By Application
12. Market Dynamics
12.1. Drivers
12.2. Challenges
13. Market Trends & Developments
14. Competitive Landscape
14.1. SparkCognition, Inc.
14.2. Expert System USA
14.3. IBM Corporation
14.4. Microsoft Corporation
14.5. Google LLC
14.6. Teradata Corporation
14.7. Cisco Systems, Inc.
14.8. Hewlett Packard Enterprises Co.
14.9. CognitiveScale, Inc.
14.10. Deepmind Technologies
14.11. Amazon Web Services, Inc.
14.12. Enterra Solutions LLC
14.13. SAS Institute, Inc.
14.14. Virtusa Corporation
14.15. Tata Consultancy Services Ltd.
15. Strategic Recommendations
16. About Us & Disclaimer

 

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