世界各国のリアルタイムなデータ・インテリジェンスで皆様をお手伝い

銀行業務におけるデータ分析の世界市場、展開タイプ別(オンプレミス、クラウド)、タイプ別(記述的分析、診断的分析、予測的分析、処方的分析)、ソリューション別(リスク管理(信用リスク評価、不正検出・管理、ストレステスト、その他)、顧客分析、ポートフォリオ管理分析、取引分析)、エンドユーザー別(セルサイド企業、バイサイド企業、地域、競争予測・機会)、2026年


Global Data Analytics in Banking Market, By Deployment Type (On-Premises, Cloud), By Type (Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics), By Solution (Risk Management (Credit Risk Assessment, Fraud Detection and Management, Stress Testing, others), Customer Analytics, Portfolio Management Analytics, Trading Analytics), By End User (Sell Side Firms, Buy Side Firms), By Region, Competition Forecast & Opportunities, 2026

銀行業務におけるデータ分析の世界市場は、予測期間中に大きな成長を遂げると予想されています。データアナリティクスとは、データをさらに解釈・加工して、賢明な意思決定を行うための有意義な洞察に変換するた... もっと見る

 

 

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TechSci Research
テックサイリサーチ
2022年7月1日 US$4,900
シングルユーザライセンス(印刷不可)
ライセンス・価格情報
注文方法はこちら
116 英語

 

サマリー

銀行業務におけるデータ分析の世界市場は、予測期間中に大きな成長を遂げると予想されています。データアナリティクスとは、データをさらに解釈・加工して、賢明な意思決定を行うための有意義な洞察に変換するための研究です。データ分析は、適切なタイミングでスマートな意思決定を行うためのインサイトを得るのに役立つため、銀行にとってその役割は極めて重要です。データ分析は、NPA、リスク、コンプライアンス、不正監視などの機能分野だけでなく、ワークフローも最適化でき、リスク価値を効率的に計算して、業務での高いパフォーマンスを確保することができます。銀行でデータ分析技術を使用することは、組織を前進させ、ビジネス目標を達成するために得られる利益を増やすために、情報に基づいた意思決定をするのに役立ちます。高度な分析技術は、銀行が日常のあらゆる活動において改善を目撃できるよう支援します。銀行におけるデータ分析は、取引や取引の分析情報とともに、顧客に関する重要なプロファイルの詳細を銀行に提供することができます。また、顧客の維持・獲得やクロスセル・アップセルを改善することも可能です。データ分析技術の利用は、銀行機関の効率とパフォーマンスを広く向上させ、必要な支援を提供することで消費者の体験を向上させることができます。
銀行業務におけるデータ分析の世界市場は、展開タイプ、タイプ、ソリューション、アプリケーション、地域分布、企業で区分されます。地域別分析では、アジア太平洋地域が予測期間である2022-2026年に最も速い増分成長を遂げると予想されます。銀行のデジタル化の採用が進み、発展途上国の銀行数が増加していることが、市場成長を後押ししています。銀行インフラの技術的進歩やインターネットの普及率が高いことも、市場成長に大きく寄与しています。
銀行業務におけるデータ分析の世界市場で事業を展開している主要企業は、IBM Corporation、SAP SE、Oracle Corporation、Microsoft Corporation、Google LLC、Amazon Web Services, Inc、TIBCO Software, Inc、Hewlett Packard Enterprise株式会社、株式会社SiSense、株式会社ミューシグマ、Dell株式会社、Alteryx Inc、Teradata Corporation、Wipro Ltd、SAS Institute, Inc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や新サービス開発などが挙げられます。
本レポートで考慮した年数
歴史的年数: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年までの銀行業務におけるデータ分析の世界市場規模の過去成長を分析すること。
- 2020年から2026年までの銀行業務におけるデータ分析の世界市場規模および2026年までの成長率を予測・推計すること。
- 銀行業務におけるデータ分析の世界市場を、展開タイプ、タイプ、ソリューション、エンドユーザー、地域分布、企業に基づいて分類、予測する。
- 銀行業務におけるデータ分析の世界における支配的な地域やセグメントを特定する。
- 銀行業務におけるデータ分析の世界市場の促進要因と課題を特定する。
- 銀行業務におけるデータ分析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検証する。
- 銀行業務におけるデータ分析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。
- 銀行業務におけるデータ分析の世界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、この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ました。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ました。インタビューしながら、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、銀行業務におけるデータ分析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ました。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
- 銀行業務におけるデータ分析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
- 銀行業務におけるデータ分析市場に関連する組織、フォーラム、アライアンス
この調査は、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答えを提供し、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、銀行業務におけるデータ分析の世界市場を、以下に詳述する業界動向に加えて、以下のカテゴリーに分類しています。
- 銀行業務におけるデータ分析の世界市場:デプロイメントタイプ別
o オンプレミス
o クラウド
- 銀行業務におけるデータ分析の世界市場、タイプ別。
o 記述的分析(Descriptive Analytics
o 診断アナリティクス
o 予測分析
プリスクリプティブ・アナリティクス
- 銀行業務におけるデータ分析の世界市場:ソリューション別
o リスク管理
信用リスクアセスメント
不正の検出と管理
ストレステスト
その他
o カスタマー・アナリティクス
o ポートフォリオマネジメント・アナリティクス
トレーディングアナリティクス
- 銀行業務におけるデータ分析の世界市場、アプリケーション別。
セルサイド企業
商業銀行・コーポレート銀行
投資銀行
株式仲介会社
その他
o バイサイド企業
アセットマネージャー
ヘッジファンド
ウェルスマネージャー
ファミリーオフィス
その他
- 銀行業務におけるデータ分析の世界市場(地域別
アジア太平洋地域
中国
インド
日本
韓国
オーストラリア
o ヨーロッパ
イギリス
イタリア
フランス
ドイツ
スペイン
o 北米
米国
メキシコ
カナダ
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
UAE
サウジアラビア
南アフリカ
競合他社の状況
企業プロファイル。銀行業務におけるデータ分析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ます。このレポートでは、以下のカスタマイズが可能です。
企業情報
- 追加的な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)。

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目次

1. Product Overview
2. Research Methodology
3. Impact of COVID-19 on Global Data Analytics in Banking Market
4. Executive Summary
5. Voice of Customer
5.1. Awareness About Usage of Data Analytics in Banking
5.2. Data Analytics in Banking Adoption Readiness
5.3. Reasons Influencing Adoption of Data Analytics in Banking
5.4. Satisfaction Levels Based on Various Parameters
5.5. Key Challenges Faced in Adopting Data Analytics in Banking
6. Global Data Analytics in Banking Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Deployment Type (On-Premises, Cloud)
6.2.2. By Type (Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics)
6.2.3. By Solution (Risk Management (Credit Risk Assessment, Fraud Detection and Management, Stress Testing, others), Customer Analytics, Portfolio Management Analytics, Trading Analytics)
6.2.4. By End User (Sell Side Firms, Buy Side Firms)
6.2.4.1. Sell Side Firms (Commercial & Corporate Banks, Investment Banks, Stock Broking Firms, Others)
6.2.4.2. Buy Side Firms (Asset Managers, Hedge Funds, Wealth Managers, Family Offices, Others)
6.2.5. By Region (Asia-Pacific, North America, Europe, MEA, South America)
6.2.6. By Company (2020)
6.3. Product Market Map
7. Asia-Pacific Data Analytics in Banking Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Deployment Type
7.2.2. By Type
7.2.3. By Solution
7.2.4. By End User
7.2.5. By Country (China; India; Japan; South Korea; Australia)
7.3. Asia-Pacific: Country Analysis
7.3.1. China Data Analytics in Banking 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 Deployment Type
7.3.1.2.2. By Type
7.3.1.2.3. By Solution
7.3.1.2.4. By End User
7.3.2. India Data Analytics in Banking 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 Deployment Type
7.3.2.2.2. By Type
7.3.2.2.3. By Solution
7.3.2.2.4. By End User
7.3.3. Japan Data Analytics in Banking 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 Deployment Type
7.3.3.2.2. By Type
7.3.3.2.3. By Solution
7.3.3.2.4. By End User
7.3.4. South Korea Data Analytics in Banking 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 Deployment Type
7.3.4.2.2. By Type
7.3.4.2.3. By Solution
7.3.4.2.4. By End User
7.3.5. Australia Data Analytics in Banking 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 Deployment Type
7.3.5.2.2. By Type
7.3.5.2.3. By Solution
7.3.5.2.4. By End User
8. Europe Data Analytics in Banking Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Deployment Type
8.2.2. By Type
8.2.3. By Solution
8.2.4. By End User
8.2.5. By Country (United Kingdom; Italy; France; Germany; Spain)
8.3. Europe: Country Analysis
8.3.1. United Kingdom Data Analytics in Banking 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 Deployment Type
8.3.1.2.2. By Type
8.3.1.2.3. By Solution
8.3.1.2.4. By End User
8.3.2. Italy Data Analytics in Banking 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 Deployment Type
8.3.2.2.2. By Type
8.3.2.2.3. By Solution
8.3.2.2.4. By End User
8.3.3. France Data Analytics in Banking 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 Deployment Type
8.3.3.2.2. By Type
8.3.3.2.3. By Solution
8.3.3.2.4. By End User
8.3.4. Germany Data Analytics in Banking 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 Deployment Type
8.3.4.2.2. By Type
8.3.4.2.3. By Solution
8.3.4.2.4. By End User
8.3.5. Spain Data Analytics in Banking 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 Deployment Type
8.3.5.2.2. By Type
8.3.5.2.3. By Solution
8.3.5.2.4. By End User
9. North America Data Analytics in Banking Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Deployment Type
9.2.2. By Type
9.2.3. By Solution
9.2.4. By End User
9.2.5. By Country (United States, Mexico, Canada)
9.3. North America: Country Analysis
9.3.1. United States Data Analytics in Banking 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 Deployment Type
9.3.1.2.2. By Type
9.3.1.2.3. By Solution
9.3.1.2.4. By End User
9.3.2. Mexico Data Analytics in Banking 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 Deployment Type
9.3.2.2.2. By Type
9.3.2.2.3. By Solution
9.3.2.2.4. By End User
9.3.3. Canada Data Analytics in Banking 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 Deployment Type
9.3.3.2.2. By Type
9.3.3.2.3. By Solution
9.3.3.2.4. By End User
10. South America Data Analytics in Banking Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Deployment Type
10.2.2. By Type
10.2.3. By Solution
10.2.4. By End User
10.2.5. By Country (Brazil, Argentina, Colombia)
10.3. South America: Country Analysis
10.3.1. Brazil Data Analytics in Banking 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 Deployment Type
10.3.1.2.2. By Type
10.3.1.2.3. By Solution
10.3.1.2.4. By End User
10.3.2. Argentina Data Analytics in Banking 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 Deployment Type
10.3.2.2.2. By Type
10.3.2.2.3. By Solution
10.3.2.2.4. By End User
10.3.3. Colombia Data Analytics in Banking 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 Deployment Type
10.3.3.2.2. By Type
10.3.3.2.3. By Solution
10.3.3.2.4. By End User
11. Middle East and Africa (MEA) Data Analytics in Banking Market Outlook
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Deployment Type
11.2.2. By Type
11.2.3. By Solution
11.2.4. By End User
11.2.5. By Country (UAE; Saudi Arabia; South Africa)
11.3. Middle East and Africa (MEA): Country Analysis
11.3.1. UAE Data Analytics in Banking 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 Deployment Type
11.3.1.2.2. By Type
11.3.1.2.3. By Solution
11.3.1.2.4. By End User
11.3.2. Saudi Arabia Data Analytics in Banking 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 Deployment Type
11.3.2.2.2. By Type
11.3.2.2.3. By Solution
11.3.2.2.4. By End User
11.3.3. South Africa Data Analytics in Banking 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 Deployment Type
11.3.3.2.2. By Type
11.3.3.2.3. By Solution
11.3.3.2.4. By End User
12. Market Dynamics
12.1. Drivers
12.2. Challenges
13. Market Trends & Developments
14. Competitive Landscape
14.1. Competition Outlook
14.2. Company Profiles
14.2.1. IBM Corporation
14.2.2. SAP SE
14.2.3. Oracle Corporation
14.2.4. Microsoft Corporation
14.2.5. Google LLC
14.2.6. Amazon Web Services, Inc.
14.2.7. TIBCO Software, Inc.
14.2.8. Hewlett Packard Enterprise Co.
14.2.9. SiSense, Inc.
14.2.10. Mu Sigma, Inc.
14.2.11. Dell, Inc.
14.2.12. Alteryx Inc.
14.2.13. Teradata Corporation
14.2.14. Wipro Ltd.
14.2.15. SAS Institute, Inc.
15. Strategic Recommendations
16. About Us & Disclaimer

 

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Summary

Global data analytics in banking market is expected to grow at a significant rate in the forecast period. Data analytics is the study of data to further interpret and process it to convert it into meaningful insights for making smart decisions. The role of data analytics can be crucial for the bank as it helps in gaining insights to make smart decisions at the right time. Data analytics can optimize the workflow as well as the functional areas including NPA, risk, compliance, fraud monitoring and can efficiently calculate the value at risk to ensure higher performance at work. The use of data analytics technology in banking institutions can help to make an informed decision to drive the organizations forward and increase the returns obtained to achieve the business goals. The advanced analytics technology aids the banks to witness improvements in all their daily activities. Data analytics in banking can provide the banks with important profile details about the customer along with transactional and trading analytics information. It can also improve the retention and acquisition of clients as well as cross and upselling. The use of data analytics technology can widely improve the efficiency and performance of banking institutions and can enhance the consumer experience by providing them with the necessary assistance.
Global data analytics in banking market is segmented into deployment type, type, solution, application, regional distribution, and company. Based on regional analysis, Asia-pacific is expected to witness the fastest incremental growth in the forecast period, 2022-2026. The growing adoption of digitization in banking intuitions and the increase in the number of banks in developing countries are boosting market growth. Technological advancements of the banking infrastructure and higher internet penetration are contributing significantly to the market growth.
The major players operating in the global data analytics in banking market are IBM Corporation, SAP SE, Oracle Corporation, Microsoft Corporation, Google LLC, Amazon Web Services, Inc., TIBCO Software, Inc., Hewlett Packard Enterprise Co., SiSense, Inc., Mu Sigma, Inc., Dell, Inc., Alteryx Inc., Teradata Corporation, Wipro Ltd., SAS Institute, Inc., 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 data analytics in banking market from 2016 to 2019.
• To estimate and forecast the market size of global data analytics in banking market from 2020 to 2026 and growth rate until 2026.
• To classify and forecast global data analytics in banking market based on deployment type, type, solution, end user, regional distribution, and company.
• To identify dominant region or segment in the global data analytics in banking.
• To identify drivers and challenges for global data analytics in banking market.
• To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in global data analytics in banking market.
• To identify and analyze the profile of leading players operating in global data analytics in banking market.
• To identify key sustainable strategies adopted by market players in global data analytics in banking 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 data analytics in banking 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:
• Data Analytics in Banking service provider companies
• Market research and consulting firms
• Government bodies such as regulating authorities and policy makers
• Organizations, forums, and alliances related to data analytics in banking 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 data analytics in banking market has been segmented into following categories, in addition to the industry trends which have also been detailed below:
• Global Data Analytics in Banking Market, By Deployment Type:
o On-Premises
o Cloud
• Global Data Analytics in Banking Market, By Type:
o Descriptive Analytics
o Diagnostic Analytics
o Predictive Analytics
o Prescriptive Analytics
• Global Data Analytics in Banking Market, By Solution:
o Risk Management
 Credit Risk Assessment
 Fraud Detection and Management
 Stress Testing
 Others
o Customer Analytics
o Portfolio Management Analytics
o Trading Analytics
• Global Data Analytics in Banking Market, By Application:
o Sell Side Firms
 Commercial & Corporate Banks
 Investment Banks
 Stock Broking Firms
 Others
o Buy Side Firms
 Asset Managers
 Hedge Funds
 Wealth Managers
 Family Offices
 Others
• Global Data Analytics in Banking Market, By Region:
o Asia-Pacific
 China
 India
 Japan
 South Korea
 Australia
o Europe
 United Kingdom
 Italy
 France
 Germany
 Spain
o North America
 United States
 Mexico
 Canada
o South America
 Brazil
 Argentina
 Colombia
o Middle East & Africa
 UAE
 Saudi Arabia
 South Africa
Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in global data analytics in banking 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 Data Analytics in Banking Market
4. Executive Summary
5. Voice of Customer
5.1. Awareness About Usage of Data Analytics in Banking
5.2. Data Analytics in Banking Adoption Readiness
5.3. Reasons Influencing Adoption of Data Analytics in Banking
5.4. Satisfaction Levels Based on Various Parameters
5.5. Key Challenges Faced in Adopting Data Analytics in Banking
6. Global Data Analytics in Banking Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Deployment Type (On-Premises, Cloud)
6.2.2. By Type (Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics)
6.2.3. By Solution (Risk Management (Credit Risk Assessment, Fraud Detection and Management, Stress Testing, others), Customer Analytics, Portfolio Management Analytics, Trading Analytics)
6.2.4. By End User (Sell Side Firms, Buy Side Firms)
6.2.4.1. Sell Side Firms (Commercial & Corporate Banks, Investment Banks, Stock Broking Firms, Others)
6.2.4.2. Buy Side Firms (Asset Managers, Hedge Funds, Wealth Managers, Family Offices, Others)
6.2.5. By Region (Asia-Pacific, North America, Europe, MEA, South America)
6.2.6. By Company (2020)
6.3. Product Market Map
7. Asia-Pacific Data Analytics in Banking Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Deployment Type
7.2.2. By Type
7.2.3. By Solution
7.2.4. By End User
7.2.5. By Country (China; India; Japan; South Korea; Australia)
7.3. Asia-Pacific: Country Analysis
7.3.1. China Data Analytics in Banking 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 Deployment Type
7.3.1.2.2. By Type
7.3.1.2.3. By Solution
7.3.1.2.4. By End User
7.3.2. India Data Analytics in Banking 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 Deployment Type
7.3.2.2.2. By Type
7.3.2.2.3. By Solution
7.3.2.2.4. By End User
7.3.3. Japan Data Analytics in Banking 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 Deployment Type
7.3.3.2.2. By Type
7.3.3.2.3. By Solution
7.3.3.2.4. By End User
7.3.4. South Korea Data Analytics in Banking 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 Deployment Type
7.3.4.2.2. By Type
7.3.4.2.3. By Solution
7.3.4.2.4. By End User
7.3.5. Australia Data Analytics in Banking 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 Deployment Type
7.3.5.2.2. By Type
7.3.5.2.3. By Solution
7.3.5.2.4. By End User
8. Europe Data Analytics in Banking Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Deployment Type
8.2.2. By Type
8.2.3. By Solution
8.2.4. By End User
8.2.5. By Country (United Kingdom; Italy; France; Germany; Spain)
8.3. Europe: Country Analysis
8.3.1. United Kingdom Data Analytics in Banking 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 Deployment Type
8.3.1.2.2. By Type
8.3.1.2.3. By Solution
8.3.1.2.4. By End User
8.3.2. Italy Data Analytics in Banking 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 Deployment Type
8.3.2.2.2. By Type
8.3.2.2.3. By Solution
8.3.2.2.4. By End User
8.3.3. France Data Analytics in Banking 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 Deployment Type
8.3.3.2.2. By Type
8.3.3.2.3. By Solution
8.3.3.2.4. By End User
8.3.4. Germany Data Analytics in Banking 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 Deployment Type
8.3.4.2.2. By Type
8.3.4.2.3. By Solution
8.3.4.2.4. By End User
8.3.5. Spain Data Analytics in Banking 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 Deployment Type
8.3.5.2.2. By Type
8.3.5.2.3. By Solution
8.3.5.2.4. By End User
9. North America Data Analytics in Banking Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Deployment Type
9.2.2. By Type
9.2.3. By Solution
9.2.4. By End User
9.2.5. By Country (United States, Mexico, Canada)
9.3. North America: Country Analysis
9.3.1. United States Data Analytics in Banking 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 Deployment Type
9.3.1.2.2. By Type
9.3.1.2.3. By Solution
9.3.1.2.4. By End User
9.3.2. Mexico Data Analytics in Banking 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 Deployment Type
9.3.2.2.2. By Type
9.3.2.2.3. By Solution
9.3.2.2.4. By End User
9.3.3. Canada Data Analytics in Banking 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 Deployment Type
9.3.3.2.2. By Type
9.3.3.2.3. By Solution
9.3.3.2.4. By End User
10. South America Data Analytics in Banking Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Deployment Type
10.2.2. By Type
10.2.3. By Solution
10.2.4. By End User
10.2.5. By Country (Brazil, Argentina, Colombia)
10.3. South America: Country Analysis
10.3.1. Brazil Data Analytics in Banking 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 Deployment Type
10.3.1.2.2. By Type
10.3.1.2.3. By Solution
10.3.1.2.4. By End User
10.3.2. Argentina Data Analytics in Banking 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 Deployment Type
10.3.2.2.2. By Type
10.3.2.2.3. By Solution
10.3.2.2.4. By End User
10.3.3. Colombia Data Analytics in Banking 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 Deployment Type
10.3.3.2.2. By Type
10.3.3.2.3. By Solution
10.3.3.2.4. By End User
11. Middle East and Africa (MEA) Data Analytics in Banking Market Outlook
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Deployment Type
11.2.2. By Type
11.2.3. By Solution
11.2.4. By End User
11.2.5. By Country (UAE; Saudi Arabia; South Africa)
11.3. Middle East and Africa (MEA): Country Analysis
11.3.1. UAE Data Analytics in Banking 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 Deployment Type
11.3.1.2.2. By Type
11.3.1.2.3. By Solution
11.3.1.2.4. By End User
11.3.2. Saudi Arabia Data Analytics in Banking 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 Deployment Type
11.3.2.2.2. By Type
11.3.2.2.3. By Solution
11.3.2.2.4. By End User
11.3.3. South Africa Data Analytics in Banking 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 Deployment Type
11.3.3.2.2. By Type
11.3.3.2.3. By Solution
11.3.3.2.4. By End User
12. Market Dynamics
12.1. Drivers
12.2. Challenges
13. Market Trends & Developments
14. Competitive Landscape
14.1. Competition Outlook
14.2. Company Profiles
14.2.1. IBM Corporation
14.2.2. SAP SE
14.2.3. Oracle Corporation
14.2.4. Microsoft Corporation
14.2.5. Google LLC
14.2.6. Amazon Web Services, Inc.
14.2.7. TIBCO Software, Inc.
14.2.8. Hewlett Packard Enterprise Co.
14.2.9. SiSense, Inc.
14.2.10. Mu Sigma, Inc.
14.2.11. Dell, Inc.
14.2.12. Alteryx Inc.
14.2.13. Teradata Corporation
14.2.14. Wipro Ltd.
14.2.15. SAS Institute, Inc.
15. Strategic Recommendations
16. About Us & Disclaimer

 

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