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表紙：BFSI向けAI・先進MLの世界市場：2023-2030年
市場調査レポート
商品コード
1380441

BFSI向けAI・先進MLの世界市場：2023-2030年

Global AI & Advanced Machine Learning in BFSI Market 2023-2030

出版日
ページ情報
英文 160 Pages
納期
2～3営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=145.06円
BFSI向けAI・先進MLの世界市場：2023-2030年
出版日: 2023年09月30日
発行: Orion Market Research
ページ情報: 英文 160 Pages
納期: 2～3営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界のBFSI向けAI・先進ML市場は、予測期間中に50.5％の指数関数的なCAGRで成長すると予測されています。BFSIサービス内でのAI＆ML技術の継続的な開発は、コストを下げながら金融機関の収益を押し上げると予測されています。世界中のBFSIでAI・先進MLの採用が拡大していることは、BFSIにおける世界のAI・先進ML市場の成長を促進する重要な要因です。バンク・オブ・アメリカ、JPモルガン、モルガン・スタンレーなどの有名企業が自動投資アドバイザーを開発するためにML技術に多額の投資を行っており、投資銀行業界における混乱は極めて明白です。

高度な機械学習を活用したソリューションにより、金融会社はインテリジェントプロセスオートメーションを通じて反復作業を自動化し、業務の生産性を高めることで、手作業を完全に置き換えることができます。チャットボット、事務処理の自動化、従業員トレーニングのゲーミフィケーションなどは、機械学習を利用した金融におけるプロセス自動化の主な事例です。これにより、金融会社は顧客体験を向上させ、コストを削減し、サービスを拡大することができます。

銀行・金融業界におけるデータセキュリティは、極めて重要な分野です。オンラインで利用可能なすべての情報により、組織はすべてのユーザー名、パスワード、セキュリティ質問を安全に保つことがますます困難になってきています。Adyen、Payoneer、PayPal、Stripe、Skrillは、セキュリティ機械学習に多額の投資を行っている企業の一部です。銀行部門における高度MLへの投資の拡大が、BFSIにおける世界のAI・先進ML市場の成長を牽引しています。

セグメント別の展望

不正検知セグメントが世界で最も高い成長を示す

公認不正検査士協会（ACFE）とアナリティクスのパイオニアであるSASが2022年に実施した新しい世論調査によると、不正検知のためのAI・MLの利用は国際的に増加しました。世論調査によると、不正の検出と抑止のためにAI・MLを採用している組織は13.0％で、さらに25.0％が今後1、2年のうちに採用する予定で、およそ200.0％の伸びを示しています。この世論調査によると、不正検査担当者は、このような業界横断的な不正防止技術の開発が広範囲に広がっていることを確認しました。2022年、RBIはインドで約9,103件の銀行詐欺事件を報告しました。地域全体で多数の銀行詐欺が発生していることから、AI・MLプロバイダーは幅広い顧客ニーズに対応するための新たなソリューションやツールを開発する余地があります。

地域の展望

BFSI向けAI・先進MLの世界市場は、北米（米国とカナダ）、欧州（イタリア、スペイン、ドイツ、フランス、その他）、アジア太平洋（インド、中国、日本、韓国、その他）、世界のその他の地域（中東とアフリカ、ラテンアメリカ）を含む地域に基づいてさらにセグメント化されます。なかでもアジア太平洋地域は、インドや中国など新興国の銀行でAI・MLの導入が進んでいることから、急成長地域と推定されます。2023年8月、中央銀行（RBI）は、監督機能にAIとMLを使用するシステムを開発するため、McKinsey and Company India LLPとAccenture Solutions Pvt Ltd Indiaを選定しました。

北米地域はBFSI向けAI・先進MLの世界市場でかなりのシェアを占める

北米は、BFSI向けAI・先進MLの世界市場でかなりのシェアを占めました。北米では米国が地域別市場で大きなシェアを占めています。スマート技術の高い採用率、主要な市場プレーヤーとともに広く整備されたITインフラの存在が、この地域市場の高いシェアの主な要因となっています。例えば、2023年5月、JPモルガン・チェース・アンド・カンパニーは、破壊的なAIを活用し、顧客のために投資先を選択するChatGPTのようなソフトウェア・サービスを開発中であると発表しました。同社は今月初め、IndexGPTと呼ばれる製品の商標登録も申請しました。これは金融証券を選択するAIプログラムです。

例えば、2022年3月、世界の保険業界向けにAIを活用した意思決定の自動化と最適化ソリューションを提供するシフト・テクノロジー社と、損害保険業界向けに世界な技術ソリューションを提供するダック・クリーク・テクノロジーズ社は、AIを活用した不正検知機能を市場に投入するためのソリューションパートナーシップを締結しました。Duck Creek Claimsが完全に統合されれば、保険会社はリアルタイムで不正行為のアラートを保険金支払管理ソフトウェア環境に直接配信できるようになります。

目次

第1章 レポート概要

  • 業界の現状分析と成長ポテンシャルの展望
  • 調査方法とツール
  • 市場内訳
    • セグメント別
    • 地域別

第2章 市場概要と洞察

  • 調査範囲
  • アナリストの洞察と現在の市場動向
    • 主な調査結果
    • 推奨事項
    • 結論

第3章 競合情勢

  • 主要企業分析
  • Amazon Web Services, Inc.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • Cisco System Inc.
    • 会社概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • IBM Corp.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • Microsoft Corp.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • SAP SE
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • 主要戦略分析

第4章 市場セグメンテーション

  • BFSI向けAI・先進MLの世界市場：コンポーネント別
    • ソリューション
    • サービス
  • BFSI向けAI・先進MLの世界市場：展開モデル別
    • オンプレミス
    • クラウドベース
  • BFSI向けAI・先進MLの世界市場：アプリケーション別
    • チャットボット
    • クレジットスコアリング
    • 定量・資産管理
    • 不正検知
    • その他（デジタルアシスタンス、営業・マーケティング、顧客セグメンテーション）

第5章 地域分析

  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • イタリア
    • スペイン
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • 世界のその他の地域

第6章 企業プロファイル

  • Active.Ai
  • Amazon Web Services Inc.
  • Betterment Holdings
  • ComplyAdvantage.com
  • Data Minr Inc.
  • Intel Corp.
  • IPsoft Inc.
  • Narrative Science
  • Next IT Corp.
  • Onfido
  • Pefin Holdings LLC
  • Ripple Labs Inc.
  • SAS Institute Inc.
  • Sift Science Inc.
  • TIBCO Software（Alpine Data Labs）
  • Trifacta Software Inc.
  • WealthFront Inc.
  • Zeitgold
図表

LIST OF TABLES

  • 1. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 2. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI SOLUTION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 3. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI SERVICES MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 4. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
  • 5. GLOBAL ON-PREMISES AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 6. GLOBAL CLOUD-BASED AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 7. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 8. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI FOR CHATBOTS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 9. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI FOR CUSTOMER SEGMENTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 10. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI FOR SALES & MARKETING MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 11. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI FOR DIGITAL ASSISTANCE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 12. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI FOR OTHER APPLICATIONS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 13. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 14. NORTH AMERICAN AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 15. NORTH AMERICAN AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 16. NORTH AMERICAN AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
  • 17. NORTH AMERICAN AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 18. EUROPEAN AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 19. EUROPEAN AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 20. EUROPEAN AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
  • 21. EUROPEAN AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 22. ASIA-PACIFIC AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 23. ASIA-PACIFIC AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 24. ASIA-PACIFIC AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
  • 25. ASIA-PACIFIC AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 26. REST OF THE WORLD AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 27. REST OF THE WORLD AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 28. REST OF THE WORLD AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
  • 29. REST OF THE WORLD AI & ADVANCED MACHINE LEARNING IN BFSI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SHARE BY COMPONENT, 2022 VS 2030(%)
  • 2. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SHARE BY DEPLOYMENT MODEL, 2022 VS 2030(%)
  • 3. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SHARE BY APPLICATION, 2022 VS 2030(%)
  • 4. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI SOLUTION MARKET SHARE BY REGION, 2022 VS 2030(%)
  • 5. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI SERVICES MARKET SHARE BY REGION, 2022 VS 2030(%)
  • 6. GLOBAL ON-PREMISES AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SHARE BY REGION, 2022 VS 2030(%)
  • 7. GLOBAL CLOUD BASED AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SHARE BY REGION, 2022 VS 2030(%)
  • 8. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI FOR CHATBOTS MARKET SHARE BY REGION, 2022 VS 2030(%)
  • 9. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI FOR CREDIT SCORING MARKET SHARE BY REGION, 2022 VS 2030(%)
  • 10. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI FOR SALES & MARKETING MARKET SHARE BY REGION, 2022 VS 2030(%)
  • 11. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI FOR DIGITAL ASSISTANCE MARKET SHARE BY REGION, 2022 VS 2030(%)
  • 12. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI FOR OTHER APPLICATIONS MARKET SHARE BY REGION, 2022 VS 2030(%)
  • 13. GLOBAL AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SHARE BY REGION, 2022 VS 2030(%)
  • 14. US AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SIZE, 2022-2030 ($ MILLION)
  • 15. CANADA AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SIZE, 2022-2030 ($ MILLION)
  • 16. UK AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SIZE, 2022-2030 ($ MILLION)
  • 17. FRANCE AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SIZE, 2022-2030 ($ MILLION)
  • 18. GERMANY AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SIZE, 2022-2030 ($ MILLION)
  • 19. ITALY AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SIZE, 2022-2030 ($ MILLION)
  • 20. SPAIN AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SIZE, 2022-2030 ($ MILLION)
  • 21. REST OF EUROPE AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SIZE, 2022-2030 ($ MILLION)
  • 22. INDIA AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SIZE, 2022-2030 ($ MILLION)
  • 23. CHINA AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SIZE, 2022-2030 ($ MILLION)
  • 24. JAPAN AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SIZE, 2022-2030 ($ MILLION)
  • 25. SOUTH KOREA AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SIZE, 2022-2030 ($ MILLION)
  • 26. REST OF ASIA-PACIFIC AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SIZE, 2022-2030 ($ MILLION)
  • 27. REST OF THE WORLD AI & ADVANCED MACHINE LEARNING IN BFSI MARKET SIZE, 2022-2030 ($ MILLION)
目次
Product Code: OMR2027730

Title: Global Artificial Intelligence (AI) & Advanced Machine Learning (ML) in BFSI Market Size, Share & Trends Analysis Report by Type (Solution and Services), by Deployment (Cloud and On-Premises), and by Application (Chatbots, Credit Scoring, Quantitative and Asset Management, Fraud Detection, and Others),Forecast Period (2023-2030).

The global AI & advanced ML in BFSI market is anticipated to grow at an exponential CAGR of 50.5% during the forecast period. The ongoing development of AI & ML technologies within BFSI services is anticipated to boost the revenue of financial institution while lowering cost. The growing adoption of AI & advanced ML in BFSIs across the globe is a key factor driving the growth of the global AI & advanced ML in BFSI market. With renowned firms such as Bank of America, JPMorgan, and Morgan Stanley investing heavily in ML technologies to develop automated investment advisors, the disruption in the investment banking industry is quite evident.

Advanced machine learning powered solutions allow finance companies to completely replace manual work by automating repetitive tasks through intelligent process automation for enhanced business productivity. Chatbots, paperwork automation, and employee training gamification are some of the key instances of process automation in finance using machine learning. This enables finance companies to improve their customer experience, reduce costs, and scale up their services.

Data security in banking & finance is a critically important area. With all the information available online, organizations find it increasingly challenging to keep all the usernames, passwords, and security questions safe. Adyen, Payoneer, PayPal, Stripe, and Skrill happen to some of the companies that have invested heavily in security machine learning. The growing investment in advanced ML in banking sector is driving the growth of the global AI & advanced ML in BFSI market.

Segmental Outlook

The global AI & advanced ML in BFSI market is segmented based on component, deployment model, and application. Based on component, the market is segmented into solution and services. Based on deployment model, the market is sub-segmented into on-premises and cloud-based. Based on application, the market is segmented into chatbots, credit scoring, quantitative and asset management, fraud detection, and others.

Fraud Detection Segment to Exhibit Highest Growth Around the Global

According to a new poll conducted by Certified Fraud Examiners (ACFE) and analytics pioneer SAS in 2022, the use of Artificial Intelligence (AI) and Machine Learning (ML) for fraud detection increased internationally. According to the poll, 13.0% of organizations employ artificial intelligence (AI) and ML to detect and deter fraud, with another 25.0% planning to do so in the next year or two, representing roughly 200.0% growth. According to the poll, fraud examiners identified this and other anti-fraud tech developments in a cross-industry that are extensively spreading. In 2022, the RBI reported around 9,103 bank frauds incidents in India. The presence of large number of bank frauds across the region create scope for the AI & ML providers to develop new solutions or tools to cater the wide range of customer needs.

Regional Outlook

The global AI & advanced ML in BFSI market is further segmented based on geography, including North America (the US and Canada), Europe (Italy, Spain, Germany, France, and others), Asia-Pacific (India, China, Japan, South Korea, and others), and the Rest of the World (the Middle East & Africa and Latin America). Among these, Asia-Pacific is estimated to be the fastest-growing region owing to the growing adoption of AI & ML in banks of emerging economies of the region such as India & China. In August 2023, the central bank (RBI) selected McKinsey and Company India LLP and Accenture Solutions Pvt Ltd India to develop systems that use AI and ML for supervisory functions.

The North America Region held Considerable Share in the Global AI & Advanced ML in BFSI Market

North America held a considerable share in the global AI & advanced ML in BFSI market. In North America, the US held a major market share in the regional market. High adoption rate of smart technologies, presence of wide and maintained IT infrastructure along with key market players are the key contributors to the high share of the regional market. For instance, in May 2023, JPMorgan Chase & Co. announced that it is developing a ChatGPT-like software service that leans on a disruptive form of AIto select investments for customers. The company also applied to trademark a product called IndexGPT earlier this month. It is an AI program to select financial securities.

Market Players Outlook

The major companies serving the global AI & advanced ML in BFSI market include: Amazon Web Services, Inc., Cisco Systems Inc., IBM Corp., Microsoft Corp., and SAP SE among others. The market players are considerably contributing to the market growth by the adoption of various strategies, including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market.

For instance, in March 2022, Shift Technology, a provider of AI-driven decision automation and optimization solutions for the global insurance industry, and Duck Creek Technologies, a global technology solutions provider to the property and casualty (P&C) insurance industry have entered a solution partnership to bring AI-enabled fraud detection capabilities to market. Once fully integrated, insurers taking advantage of Duck Creek Claims will have real-time fraud alerts delivered directly to the claim's management software environment.

The Report Covers:

  • Market value data analysis of 2022 and forecast to 2030.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global AI & advanced ML in BFSI market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. Amazon Web Services, Inc.
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
    • 3.2.4. Recent Developments
  • 3.3. Cisco System Inc.
    • 3.3.1. Overview
    • 3.3.2. Financial Analysis
    • 3.3.3. SWOT Analysis
    • 3.3.4. Recent Developments
  • 3.4. IBM Corp.
    • 3.4.1. Overview
    • 3.4.2. Financial Analysis
    • 3.4.3. SWOT Analysis
    • 3.4.4. Recent Developments
  • 3.5. Microsoft Corp.
    • 3.5.1. Overview
    • 3.5.2. Financial Analysis
    • 3.5.3. SWOT Analysis
    • 3.5.4. Recent Developments
  • 3.6. SAP SE
    • 3.6.1. Overview
    • 3.6.2. Financial Analysis
    • 3.6.3. SWOT Analysis
    • 3.6.4. Recent Developments
  • 3.7. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global AI & Advanced Machine Learning in BFSI Market by Component
    • 4.1.1. Solution
    • 4.1.2. Services
  • 4.2. Global AI & Advanced Machine Learning in BFSI Market by Deployment Model
    • 4.2.1. On-Premises
    • 4.2.2. Cloud-Based
  • 4.3. Global AI & Advanced Machine Learning in BFSI Market by Application
    • 4.3.1. Chatbots
    • 4.3.2. Credit Scoring
    • 4.3.3. Quantitative & Asset Management
    • 4.3.4. Fraud Detection
    • 4.3.5. Others (Digital Assistance, Sales & Marketing, Customer Segmentation)

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World

6. Company Profiles

  • 6.1. Active.Ai
  • 6.2. Amazon Web Services Inc.
  • 6.3. Betterment Holdings
  • 6.4. ComplyAdvantage.com
  • 6.5. Data Minr Inc.
  • 6.6. Intel Corp.
  • 6.7. IPsoft Inc.
  • 6.8. Narrative Science
  • 6.9. Next IT Corp.
  • 6.10. Onfido
  • 6.11. Pefin Holdings LLC
  • 6.12. Ripple Labs Inc.
  • 6.13. SAS Institute Inc.
  • 6.14. Sift Science Inc.
  • 6.15. TIBCO Software (Alpine Data Labs)
  • 6.16. Trifacta Software Inc.
  • 6.17. WealthFront Inc.
  • 6.18. Zeitgold