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BFSIにおける人工知能市場レポート：オファリング、ソリューション、エンドユーザー、地域別、2024年～2032年

Artificial Intelligence in BFSI Market Report by Offering, Solution, End User, and Region 2024-2032

出版日
発行
IMARC
ページ情報
英文 140 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=144.06円
BFSIにおける人工知能市場レポート：オファリング、ソリューション、エンドユーザー、地域別、2024年～2032年
出版日: 2024年07月01日
発行: IMARC
ページ情報: 英文 140 Pages
納期: 2～3営業日
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  • 概要
  • 図表
  • 目次
概要

世界のBFSIにおける人工知能の市場規模は、2023年に195億米ドルに達しました。今後、IMARC Groupは、同市場が2032年までに2,245億米ドルに達し、2024年から2032年の間に30.3%の成長率（CAGR）を示すと予測しています。効率性を高めるためのAI活用の高まり、顧客体験の向上への注目の高まり、高度な不正検知に対する需要の高まり、規制遵守を満たすためのAIの広範な活用は、市場を推進する主な要因の一部です。

銀行・金融サービス・保険（BFSI）における人工知能（AI）とは、金融業務における人間の知能をシミュレートするための高度なアルゴリズムと計算モデルの使用を指します。これには、機械学習（ML）、自然言語処理（NLP）、ロボットによるプロセス自動化（RPA）が含まれます。BFSIにおけるAIは、不正検知、信用スコアリング、パーソナライズドバンキング、アルゴリズム取引、リスク管理、顧客サービスボット、保険における予測分析、規制遵守、債権回収、ポートフォリオ管理などに広く利用されています。精度を高め、効率を高め、顧客体験を向上させる。また、処理の高速化、リアルタイムの意思決定、反復作業の自動化も可能になります。

BFSI業界では、コンプライアンス業務の自動化、規制変更の監視、将来の規制動向の予測にAIが広く活用されていることが、市場の成長を後押ししています。さらに、BFSI事業体が融資、投資、リスク管理、顧客セグメンテーション、商品開発に関して十分な情報に基づいた意思決定を行えるようにするため、大量の構造化データおよび非構造化データを解釈および処理するためのAIの採用が増加していることも、市場の成長に寄与しています。これとは別に、BFSI部門におけるデジタル化の新たな動向は、デジタル能力を強化し、イノベーションを推進し、競争力を維持するためのAI需要を促進しています。さらに、エンゲージメントを強化し、満足度を高め、継続率を向上させるパーソナライズされた金融サービスを顧客に提供するためのAIに対する需要の高まりは、市場成長にプラスの影響を与えています。これとともに、デジタル取引を処理し、安全なリモートバンキングを確保し、非接触環境で中断のない顧客サービスを提供するためのAIの広範な採用が、市場の成長を強化しています。

BFSIにおける人工知能（AI）の市場動向と促進要因：

効率性向上のためのAI活用の高まり

人工知能（AI）は、銀行・金融サービス・保険（BFSI）分野における効率性向上の重要な推進力となっています。ありふれた反復作業を自動化するAIの能力により、人的資本は複雑な問題解決や顧客サービスの役割に集中できるようになり、業務効率の向上、コスト削減、全体的なサービス提供の改善につながります。さらに、AIはデータ入力、検証、照合、レポート作成プロセスを自動化することができます。これらは従来、多大な人的資源を必要とし、手作業によるミスが発生しがちだった。これとは別に、AIベースのロボティック・プロセス・オートメーション（RPA）ツールは、ローン組成、引き受け、顧客オンボーディング・プロセスを処理することができ、業務上のボトルネックを減らし、応答時間を改善し、金融機関が大量の取引を管理する能力を高めるのに役立ちます。さらに、24時間体制でサービスを提供することで、金融機関は標準的な営業時間を超えても業務を継続できます。

顧客体験の向上への注目の高まり

BFSIが競争の激しい市場で差別化を図るためには、顧客体験の向上が不可欠です。AIは、チャットボットやバーチャルアシスタントを通じて、この目的を達成する上で中心的な役割を果たしています。チャットボットやバーチャルアシスタントは、パーソナライズされた24時間体制のカスタマーサポートを提供し、問い合わせにリアルタイムで回答して問題を解決します。これらのツールは、自然言語による問い合わせを理解して応答し、過去のやり取りから学習し、さらには顧客のニーズを予測することで、パーソナライズされた体験を提供することができます。AIはパーソナライズされた金融商品やサービスの開発にも不可欠です。顧客の行動、嗜好、金融履歴に関する膨大なデータを分析することで、AIシステムはオーダーメイドの金融アドバイスを提供し、適切な商品を推奨し、将来のニーズを予測することさえできます。この高度なパーソナライゼーションは、顧客満足度を向上させるだけでなく、顧客のロイヤルティとエンゲージメントを育みます。

高度な不正検知への需要の高まり

BFSI部門は絶えず詐欺の脅威と闘っており、AIはこの課題に立ち向かう強力なツールとして台頭してきました。機械学習（ML）に基づくAIアルゴリズムは、膨大なデータから不正行為を示す可能性のある異常なパターンや異常を特定することに非常に長けています。さらに、AIはリアルタイムでトランザクションを監視し、トランザクションのサイズ、頻度、場所、タイミングなどのパラメータに基づいて疑わしい活動にフラグを立てることができます。また、なりすましや口座乗っ取りを示す可能性のある顧客行動の異常を検出することもできます。さらに、機械学習（ML）モデルは、各不正インシデントから学習し、検出能力を継続的に向上させることができます。このように潜在的な不正行為を迅速に検知し、警告を発することで、財務上の損失を最小限に抑え、顧客を保護し、金融機関の評判を維持することができます。

目次

第1章 序文

第2章 調査範囲と調査手法

  • 調査の目的
  • ステークホルダー
  • データソース
    • 一次情報
    • 二次情報
  • 市場推定
    • ボトムアップアプローチ
    • トップダウンアプローチ
  • 調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

  • 概要
  • 主要業界動向

第5章 世界のBFSIにおける人工知能市場

  • 市場概要
  • 市場実績
  • COVID-19の影響
  • 市場予測

第6章 市場内訳：提供別

  • ソフトウェア
    • 市場動向
    • 市場予測
  • ハードウェア
    • 市場動向
    • 市場予測
  • サービス
    • 市場動向
    • 市場予測

第7章 市場内訳：ソリューション

  • チャットボット
    • 市場動向
    • 市場予測
  • 不正行為の検出と防止
    • 市場動向
    • 市場予測
  • マネーロンダリング対策
    • 市場動向
    • 市場予測
  • 顧客関係管理
    • 市場動向
    • 市場予測
  • データ分析と予測
    • 市場動向
    • 市場予測
  • その他
    • 市場動向
    • 市場予測

第8章 市場内訳：エンドユーザー別

  • 銀行
    • 市場動向
    • 市場予測
  • 保険
    • 市場動向
    • 市場予測
  • ウェルスマネジメント
    • 市場動向
    • 市場予測

第9章 市場内訳：地域別

  • 北米
    • 米国
    • カナダ
  • アジア太平洋地域
    • 中国
    • 日本
    • インド
    • 韓国
    • オーストラリア
    • インドネシア
    • その他
  • 欧州
    • ドイツ
    • フランス
    • 英国
    • イタリア
    • スペイン
    • ロシア
    • その他
  • ラテンアメリカ
    • ブラジル
    • メキシコ
    • その他
  • 中東・アフリカ
    • 市場動向
    • 市場内訳：国別
    • 市場予測

第10章 SWOT分析

  • 概要
  • 強み
  • 弱み
  • 機会
  • 脅威

第11章 バリューチェーン分析

第12章 ポーターのファイブフォース分析

  • 概要
  • 買い手の交渉力
  • 供給企業の交渉力
  • 競合の程度
  • 新規参入業者の脅威
  • 代替品の脅威

第13章 価格分析

第14章 競合情勢

  • 市場構造
  • 主要企業
  • 主要企業のプロファイル
    • Amelia
    • Atos SE
    • Avaamo Inc.
    • CognitiveScale Inc.
    • Inbenta Holdings Inc.
    • Interactions LLC
    • International Business Machines Corporation
    • Microsoft Corporation
    • NVIDIA Corporation
    • Palantir Technologies Inc.
    • SAP SE
    • SAS Institute Inc.
図表

List of Figures

  • Figure 1: Global: Artificial Intelligence in BFSI Market: Major Drivers and Challenges
  • Figure 2: Global: Artificial Intelligence in BFSI Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Artificial Intelligence in BFSI Market: Breakup by Offering (in %), 2023
  • Figure 5: Global: Artificial Intelligence in BFSI Market: Breakup by Solution (in %), 2023
  • Figure 6: Global: Artificial Intelligence in BFSI Market: Breakup by End User (in %), 2023
  • Figure 7: Global: Artificial Intelligence in BFSI Market: Breakup by Region (in %), 2023
  • Figure 8: Global: Artificial Intelligence in BFSI (Software) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 9: Global: Artificial Intelligence in BFSI (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 10: Global: Artificial Intelligence in BFSI (Hardware) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 11: Global: Artificial Intelligence in BFSI (Hardware) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 12: Global: Artificial Intelligence in BFSI (Services) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 13: Global: Artificial Intelligence in BFSI (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 14: Global: Artificial Intelligence in BFSI (Chatbots) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 15: Global: Artificial Intelligence in BFSI (Chatbots) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 16: Global: Artificial Intelligence in BFSI (Fraud Detection and Prevention) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 17: Global: Artificial Intelligence in BFSI (Fraud Detection and Prevention) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 18: Global: Artificial Intelligence in BFSI (Anti-Money Laundering) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 19: Global: Artificial Intelligence in BFSI (Anti-Money Laundering) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 20: Global: Artificial Intelligence in BFSI (Customer Relationship Management) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 21: Global: Artificial Intelligence in BFSI (Customer Relationship Management) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 22: Global: Artificial Intelligence in BFSI (Data Analytics and Prediction) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 23: Global: Artificial Intelligence in BFSI (Data Analytics and Prediction) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 24: Global: Artificial Intelligence in BFSI (Other Solutions) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 25: Global: Artificial Intelligence in BFSI (Other Solutions) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 26: Global: Artificial Intelligence in BFSI (Banks) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 27: Global: Artificial Intelligence in BFSI (Banks) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 28: Global: Artificial Intelligence in BFSI (Insurance) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 29: Global: Artificial Intelligence in BFSI (Insurance) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 30: Global: Artificial Intelligence in BFSI (Wealth Management) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 31: Global: Artificial Intelligence in BFSI (Wealth Management) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 32: North America: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 33: North America: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 34: United States: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 35: United States: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 36: Canada: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 37: Canada: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 38: Asia-Pacific: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 39: Asia-Pacific: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 40: China: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 41: China: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 42: Japan: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 43: Japan: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 44: India: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 45: India: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 46: South Korea: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 47: South Korea: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 48: Australia: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 49: Australia: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 50: Indonesia: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 51: Indonesia: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 52: Others: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 53: Others: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 54: Europe: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 55: Europe: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 56: Germany: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 57: Germany: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 58: France: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 59: France: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 60: United Kingdom: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 61: United Kingdom: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 62: Italy: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 63: Italy: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 64: Spain: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 65: Spain: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 66: Russia: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 67: Russia: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 68: Others: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 69: Others: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 70: Latin America: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 71: Latin America: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 72: Brazil: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 73: Brazil: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 74: Mexico: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 75: Mexico: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 76: Others: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 77: Others: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 78: Middle East and Africa: Artificial Intelligence in BFSI Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 79: Middle East and Africa: Artificial Intelligence in BFSI Market: Breakup by Country (in %), 2023
  • Figure 80: Middle East and Africa: Artificial Intelligence in BFSI Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 81: Global: Artificial Intelligence in BFSI Industry: SWOT Analysis
  • Figure 82: Global: Artificial Intelligence in BFSI Industry: Value Chain Analysis
  • Figure 83: Global: Artificial Intelligence in BFSI Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Artificial Intelligence in BFSI Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Artificial Intelligence in BFSI Market Forecast: Breakup by Offering (in Million US$), 2024-2032
  • Table 3: Global: Artificial Intelligence in BFSI Market Forecast: Breakup by Solution (in Million US$), 2024-2032
  • Table 4: Global: Artificial Intelligence in BFSI Market Forecast: Breakup by End User (in Million US$), 2024-2032
  • Table 5: Global: Artificial Intelligence in BFSI Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 6: Global: Artificial Intelligence in BFSI Market: Competitive Structure
  • Table 7: Global: Artificial Intelligence in BFSI Market: Key Players
目次
Product Code: SR112024A5833

The global artificial intelligence (AI) in BFSI market size reached US$ 19.5 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 224.5 Billion by 2032, exhibiting a growth rate (CAGR) of 30.3% during 2024-2032. The rising utilization of AI to increase efficiency, increasing focus on enhanced customer experience, growing demand for advanced fraud detection, and widespread utilization of AI to meet regulatory compliances are some of the major factors propelling the market.

Artificial intelligence (AI) in banking, financial Services, and Insurance (BFSI) refers to the use of advanced algorithms and computational models to simulate human intelligence in financial operations. It includes machine learning (ML), natural language processing (NLP), and robotic process automation (RPA). AI in BFSI is widely used for fraud detection, credit scoring, personalized banking, algorithmic trading, risk management, customer service bots, predictive analysis in insurance, regulatory compliance, debt collection, and portfolio management. It enhances accuracy, provides greater efficiency, and improves customer experience. It also allows faster processing, real-time decision-making, and the automation of repetitive tasks.

The widespread utilization of AI to automate compliance tasks, monitor regulatory changes, and predict future regulatory trends in the BFSI industry is propelling the market growth. Furthermore, the increasing adoption of AI to interpret and process large volumes of structured and unstructured data to enable BFSI entities to make informed decisions on lending, investment, risk management, customer segmentation, and product development is contributing to the market growth. Apart from this, the emerging trends of digitalization in the BFSI sector are facilitating AI demand to enhance digital capabilities, drive innovation, and maintain a competitive edge. Moreover, the growing demand for AI to provide personalized financial services to customers that enhance engagement, increase satisfaction, and improve retention rate is positively influencing the market growth. Along with this, the widespread adoption of AI to handle digital transactions, ensuring secure remote banking, and providing uninterrupted customer service in a contactless environment are strengthening the market growth.

Artificial Intelligence (AI) in BFSI Market Trends/Drivers:

The rising utilization of AI to increase efficiency

Artificial intelligence (AI) has become a significant driver for increased efficiency within the banking, financial services, and insurance (BFSI) sector. The ability of AI to automate mundane, repetitive tasks liberates human capital to focus on complex problem-solving and customer service roles, which boosts operational efficiency, reduces costs, and improves overall service delivery. Furthermore, AI can automate data entry, verification, reconciliation, and report generation processes, which traditionally require significant human resources and are prone to manual errors. Apart from this, AI-based robotic process automation (RPA) tools can handle loan origination, underwriting, and customer onboarding processes, which aids in reducing operational bottlenecks, improving response times, and enhancing the institution's capacity to manage large volumes of transactions. Moreover, it provides around-the-clock services, ensuring that the financial institution remains operational beyond standard business hours.

The increasing focus on enhanced customer experience

Ensuring enhanced customer experience is vital for BFSI entities to differentiate themselves in a highly competitive market. AI plays a central role in achieving this objective through chatbots and virtual assistants, which offer personalized, round-the-clock customer support, answering queries and resolving issues in real time. These tools can understand and respond to natural language queries, learn from past interactions, and even anticipate customer needs, thereby offering a personalized experience. AI is also integral to the development of personalized financial products and services. By analyzing vast amounts of data on customer behavior, preferences, and financial history, AI systems can provide tailored financial advice, recommend suitable products, and even predict future needs. This high degree of personalization not only improves customer satisfaction but also fosters customer loyalty and engagement.

The growing demand for advanced fraud detection

The BFSI sector continually grapples with the threat of fraud, and AI has emerged as a powerful tool in combating this challenge. AI algorithms based on machine learning (ML) are highly proficient at identifying unusual patterns and anomalies in vast amounts of data that may signify fraudulent activities. Furthermore, AI can monitor transactions in real time, flagging suspicious activities based on parameters, such as transaction size, frequency, location, and timing. It can also detect anomalies in customer behavior that might indicate identity theft or account takeover. Moreover, machine learning (ML) models can learn from each fraudulent incident to continually refine their detection capabilities. This ability to promptly detect and alert about potential fraud minimizes financial losses, protects customers, and assists in maintaining the institution's reputation.

Artificial Intelligence (AI) in BFSI Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence (AI) in BFSI market report, along with forecasts at the global, regional and country levels from 2024-2032. Our report has categorized the market based on offering, solution and end user.

Breakup by Offering:

Software

Hardware

Services

Software dominates the market

The report has provided a detailed breakup and analysis of the market based on the offering. This includes software, hardware, and services. According to the report, software represented the largest market segment.

Software is dominating the market as it allows financial institutions to extract insights from data, automate processes, detect fraud, and provide personalized customer experiences. Furthermore, the growing demand for AI-powered software solutions, such as chatbots, predictive analytics systems, robotic process automation (RPA) tools, and customer relationship management (CRM) systems to enhance operational efficiency, customer service, risk management, and compliance, is boosting the market growth. Additionally, the software can be easily integrated with existing information technology (IT) infrastructure, making it a practical choice for BFSI institutions embarking on their AI journey. Along with this, the widespread availability of AI software as a Service (SaaS), which allows even smaller financial institutions to leverage AI, is acting as another growth-inducing factor. Moreover, the advancements in software, such as neural networks, deep learning models, and natural language processing capabilities, are supporting the market growth.

Breakup by Solution:

Chatbots

Fraud Detection and Prevention

Anti-Money Laundering

Customer Relationship Management

Data Analytics and Prediction

Others

Chatbots dominate the market

The report has provided a detailed breakup and analysis of the market based on the solution. This includes chatbots, fraud detection and prevention, anti-money laundering, customer relationship management, data analytics and prediction, and others. According to the report, chatbots represented the largest market segment.

Chatbots are dominating the market as they offer round-the-clock customer service and can handle queries, resolve issues, and provide information instantly, thus improving customer satisfaction and engagement. Furthermore, they aid in increasing operational efficiency by automating repetitive tasks, such as responding to common customer queries, providing account information, and assisting with transactions, which allows human agents to focus on more complex and high-value tasks, resulting in improved productivity and cost savings. Additionally, chatbots can deliver personalized experiences by analyzing customer data, understanding individual preferences, and providing tailored advice or product recommendations. Moreover, they are scalable and can handle a large number of customer interactions simultaneously. Apart from this, the recent advancements in natural language processing (NLP) and machine learning technologies have led to the development of intelligent chatbots that can understand and respond to natural language queries, learn from interactions, and even handle complex tasks.

Breakup by End User:

Banks

Insurance

Wealth Management

Banks dominate the market

The report has provided a detailed breakup and analysis of the market based on the end user. This includes banks, insurance, and wealth management. According to the report, banks represented the largest market segment.

Banks are dominating the market as they manage a vast amount of data. In line with this, AI can analyze this data to identify patterns, generate insights, and make accurate predictions, thereby facilitating informed decision-making in areas such as credit scoring, risk assessment, and customer segmentation. Furthermore, banks are continually striving to enhance their customer service to stand out in a highly competitive market. AI-powered solutions, such as chatbots and virtual assistants, enable banks to offer personalized, around-the-clock customer service, thus improving customer satisfaction and loyalty. Apart from this, AI assists banks in identifying unusual patterns and anomalies in data that could indicate potential fraudulent activity. By implementing AI, banks can significantly improve their ability to detect and prevent fraud.

Breakup by Region:

North America

United States

Canada

Asia-Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

North America exhibits a clear dominance in the market, accounting for the largest artificial intelligence (AI) in BFSI market share

The report has also provided a comprehensive analysis of all the major regional markets, which includes North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America represented the largest market.

North America is dominating the AI in the BFSI market owing to the presence of various global technology giants and innovative startups, which are leading the development and application of AI technologies. Along with this, banks and financial institutions in the region are early adopters of technology and have been proactive in embracing AI to enhance their services, reduce operational costs, improve risk management, and maintain a competitive edge. Furthermore, North America has a well-established BFSI sector with a high degree of digitization, which provides a conducive environment for the integration and application of AI solutions. Additionally, regulatory bodies in the region have demonstrated a willingness to accommodate AI in the BFSI sector, recognizing its potential to improve operational efficiency and customer service while maintaining the integrity of the financial system.

Competitive Landscape:

The key market players are developing a range of AI-powered solutions for the BFSI sector, including chatbots, predictive analytics systems, fraud detection tools, and automated customer service solutions. These tools aim to improve efficiency, reduce costs, enhance customer experience, and mitigate risks in the BFSI sector. Furthermore, leading companies are forming strategic partnerships and collaborations with BFSI institutions to develop tailored AI-powered tools that meet the unique needs of clients. Additionally, companies are acquiring or merging with other companies that possess unique AI technologies to attract new customers and increase market penetration. Moreover, several key players are offering AI as a Service (AIaaS), which allows BFSI institutions to leverage AI technologies without the need for substantial upfront investment or technical expertise.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

Amelia

Atos SE

Avaamo Inc.

CognitiveScale Inc.

Inbenta Holdings Inc.

Interactions LLC

International Business Machines Corporation

Microsoft Corporation

NVIDIA Corporation

Palantir Technologies Inc.

SAP SE

SAS Institute Inc.

Recent Developments:

In March 2023, Amelia announced that it has entered into a partnership with BuildGroup and Monroe Capital to accelerate the adoption of Amelia's Trusted AI products in the financial market.

In December 2021, Atos SE launched its Outcome-driven AI platform' (ODAP), which will be able to serve various industries, such as the public sector, financial services, retail, manufacturing, and transport.

In September 2022, CognitiveScale Inc. launched TrustStar, a data-driven AI application that will assist loan officers in closing more loans.

Key Questions Answered in This Report

  • 1. How big is the global Artificial Intelligence (AI) in BFSI market?
  • 2. What is the expected growth rate of the global Artificial Intelligence (AI) in BFSI market during 2024-2032?
  • 3. What are the key factors driving the global Artificial Intelligence (AI) in BFSI market?
  • 4. What has been the impact of COVID-19 on the global Artificial Intelligence (AI) in BFSI market?
  • 5. What is the breakup of the global Artificial Intelligence (AI) in BFSI market based on the offering?
  • 6. What is the breakup of the global Artificial Intelligence (AI) in BFSI market based on the solution?
  • 7. What is the breakup of the global Artificial Intelligence (AI) in BFSI market based on the end user?
  • 8. What are the key regions in the global Artificial Intelligence (AI) in BFSI market?
  • 9. Who are the key players/companies in the global Artificial Intelligence (AI) in BFSI market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Artificial Intelligence (AI) in BFSI Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Offering

  • 6.1 Software
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Hardware
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Services
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast

7 Market Breakup by Solution

  • 7.1 Chatbots
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Fraud Detection and Prevention
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Anti-Money Laundering
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 Customer Relationship Management
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast
  • 7.5 Data Analytics and Prediction
    • 7.5.1 Market Trends
    • 7.5.2 Market Forecast
  • 7.6 Others
    • 7.6.1 Market Trends
    • 7.6.2 Market Forecast

8 Market Breakup by End User

  • 8.1 Banks
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Insurance
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast
  • 8.3 Wealth Management
    • 8.3.1 Market Trends
    • 8.3.2 Market Forecast

9 Market Breakup by Region

  • 9.1 North America
    • 9.1.1 United States
      • 9.1.1.1 Market Trends
      • 9.1.1.2 Market Forecast
    • 9.1.2 Canada
      • 9.1.2.1 Market Trends
      • 9.1.2.2 Market Forecast
  • 9.2 Asia-Pacific
    • 9.2.1 China
      • 9.2.1.1 Market Trends
      • 9.2.1.2 Market Forecast
    • 9.2.2 Japan
      • 9.2.2.1 Market Trends
      • 9.2.2.2 Market Forecast
    • 9.2.3 India
      • 9.2.3.1 Market Trends
      • 9.2.3.2 Market Forecast
    • 9.2.4 South Korea
      • 9.2.4.1 Market Trends
      • 9.2.4.2 Market Forecast
    • 9.2.5 Australia
      • 9.2.5.1 Market Trends
      • 9.2.5.2 Market Forecast
    • 9.2.6 Indonesia
      • 9.2.6.1 Market Trends
      • 9.2.6.2 Market Forecast
    • 9.2.7 Others
      • 9.2.7.1 Market Trends
      • 9.2.7.2 Market Forecast
  • 9.3 Europe
    • 9.3.1 Germany
      • 9.3.1.1 Market Trends
      • 9.3.1.2 Market Forecast
    • 9.3.2 France
      • 9.3.2.1 Market Trends
      • 9.3.2.2 Market Forecast
    • 9.3.3 United Kingdom
      • 9.3.3.1 Market Trends
      • 9.3.3.2 Market Forecast
    • 9.3.4 Italy
      • 9.3.4.1 Market Trends
      • 9.3.4.2 Market Forecast
    • 9.3.5 Spain
      • 9.3.5.1 Market Trends
      • 9.3.5.2 Market Forecast
    • 9.3.6 Russia
      • 9.3.6.1 Market Trends
      • 9.3.6.2 Market Forecast
    • 9.3.7 Others
      • 9.3.7.1 Market Trends
      • 9.3.7.2 Market Forecast
  • 9.4 Latin America
    • 9.4.1 Brazil
      • 9.4.1.1 Market Trends
      • 9.4.1.2 Market Forecast
    • 9.4.2 Mexico
      • 9.4.2.1 Market Trends
      • 9.4.2.2 Market Forecast
    • 9.4.3 Others
      • 9.4.3.1 Market Trends
      • 9.4.3.2 Market Forecast
  • 9.5 Middle East and Africa
    • 9.5.1 Market Trends
    • 9.5.2 Market Breakup by Country
    • 9.5.3 Market Forecast

10 SWOT Analysis

  • 10.1 Overview
  • 10.2 Strengths
  • 10.3 Weaknesses
  • 10.4 Opportunities
  • 10.5 Threats

11 Value Chain Analysis

12 Porters Five Forces Analysis

  • 12.1 Overview
  • 12.2 Bargaining Power of Buyers
  • 12.3 Bargaining Power of Suppliers
  • 12.4 Degree of Competition
  • 12.5 Threat of New Entrants
  • 12.6 Threat of Substitutes

13 Price Analysis

14 Competitive Landscape

  • 14.1 Market Structure
  • 14.2 Key Players
  • 14.3 Profiles of Key Players
    • 14.3.1 Amelia
      • 14.3.1.1 Company Overview
      • 14.3.1.2 Product Portfolio
      • 14.3.1.3 SWOT Analysis
    • 14.3.2 Atos SE
      • 14.3.2.1 Company Overview
      • 14.3.2.2 Product Portfolio
      • 14.3.2.3 Financials
      • 14.3.2.4 SWOT Analysis
    • 14.3.3 Avaamo Inc.
      • 14.3.3.1 Company Overview
      • 14.3.3.2 Product Portfolio
    • 14.3.4 CognitiveScale Inc.
      • 14.3.4.1 Company Overview
      • 14.3.4.2 Product Portfolio
    • 14.3.5 Inbenta Holdings Inc.
      • 14.3.5.1 Company Overview
      • 14.3.5.2 Product Portfolio
    • 14.3.6 Interactions LLC
      • 14.3.6.1 Company Overview
      • 14.3.6.2 Product Portfolio
    • 14.3.7 International Business Machines Corporation
      • 14.3.7.1 Company Overview
      • 14.3.7.2 Product Portfolio
      • 14.3.7.3 Financials
      • 14.3.7.4 SWOT Analysis
    • 14.3.8 Microsoft Corporation
      • 14.3.8.1 Company Overview
      • 14.3.8.2 Product Portfolio
      • 14.3.8.3 Financials
      • 14.3.8.4 SWOT Analysis
    • 14.3.9 NVIDIA Corporation
      • 14.3.9.1 Company Overview
      • 14.3.9.2 Product Portfolio
      • 14.3.9.3 Financials
      • 14.3.9.4 SWOT Analysis
    • 14.3.10 Palantir Technologies Inc.
      • 14.3.10.1 Company Overview
      • 14.3.10.2 Product Portfolio
      • 14.3.10.3 Financials
    • 14.3.11 SAP SE
      • 14.3.11.1 Company Overview
      • 14.3.11.2 Product Portfolio
      • 14.3.11.3 Financials
      • 14.3.11.4 SWOT Analysis
    • 14.3.12 SAS Institute Inc.
      • 14.3.12.1 Company Overview
      • 14.3.12.2 Product Portfolio
      • 14.3.12.3 SWOT Analysis