Global Artificial Intelligence in BFSI Market Overview
Artificial intelligence in the banking industry refers to the transformation of the banking process with AI technologies. It helps in making banking operations and function faster, transfer more quickly, safer, and enhance the back-end operations. Moreover, artificial intelligence in baking bolsters its growth by improving front, middle, and back-office functions in banking.
Global Artificial Intelligence in BFSI Market Insights
The global artificial intelligence in the BFSI market has the potential to grow with USD 200.52 billion with bolstering CAGR in the forecast period from 2020-2027. The rising adoption of advancement in technology, prevalence of the internet, emerging smartphone usage, coupled with rising demand for virtual assistants, and cloud-based applications are driving the market demand for artificial intelligence in the BFSI market.
The artificial intelligence in the BFSI report provides in-depth research on the leading players in the market interval by simplifying product descriptions, business summaries, and business strategies. It also gives the quantity of production, the artificial intelligence in BFSI’s future needs, the raw materials needed, and the financial health of the organization.
Also, artificial intelligence is an essential source of business strategic insight data. It provides an industry overview, including growth analysis and historical and future cost, revenue, demand, and supply data. The research analyst offers a detailed description of the study of the value chain and its distributors.
Moreover, the use of various AI technologies (such as deep learning, natural language processing, chatbots, and automated trading advisors) in financial products and services are some of the factors driving the market growth. Also, the advanced artificial intelligence technology in the BFSI industry provides a proactive customer experience by automating back-end processes to reduce human errors, reduce fraud detection, and mitigate risks, thereby driving the market growth.
Furthermore, artificial intelligence is becoming more and more entrenched in the business world and represents a profound transformation of the enterprise. Early adopters demonstrated high-impact business results in fraud detection, manufacturing performance optimization, preventive maintenance, and recommendation engines. The main business goal of adopting AI in the BFSI department is to provide proactive and personal customer support.
Growth Driver
Growing technology and adoption of smartphones
Artificial intelligence in every industry is adopted only due to changing technology scenarios around the world. The adoption of smartphone and growing prevalence of the internet has enhanced the functions of every sector. Therefore, artificial intelligence in the banking sector has fueled the market growth by improving its day to day operations and providing real-time results to the customer through the internet and saves time.
Growing Data
The large amount of data generated in the banking sector every day fuels the demand for the adoption of artificial intelligence in the banking industry. Managing a large amount of raw data is a challenging and confusing task for any industry. Thus, with the help of advanced technology like cloud, IoT, coupled with AI tools adopted by the banking industry, reduces the burden of work and smoothen the function of banks.
By Offerings Segmental Analysis
Based on the offerings, global artificial intelligence in the BFSI market classified into Hardware, Software, and Services. The software segment accounts for the major share in the global artificial intelligence in the BFSI market. Software products have benefited the financial industry greatly, such as tracking transactions, verifying data, generating reports, and extracting information related to operations; the software sector has the most significant revenue. Also, software tools greatly simplify security and know your customer (KYC) processes for verification, thus becoming the leading artificial intelligence in BFSI market trends.
By Solutions Segmental Analysis
Based on the solutions, the global artificial intelligence in the BFSI market segmented into Chatbots, Fraud Detection & Prevention, Anti-Money Laundering, Customer Relationship Management, Data Analytics & Prediction, and Others. The chatbot segment generated the most significant revenue in recent years, and it is expected that it would remain at the same level during the artificial intelligence period of the BFSI market forecast. Chatbots provide banks and other financial institutions with the ability to quickly assist common customer queries, enhance the onboarding process, and increase sales efficiency. Besides, it can save costs, significantly reduce customer acquisition costs, and collect real-time feedback from customers on the market.
By Technology Segmental Analysis
Based on the technology, the global artificial intelligence in the BFSI market categorized into Deep Learning, Querying Method, Natural Language Processing, and Context-Aware Processing. The natural language processing segment accounts for the largest share in the global artificial intelligence in the BFSI market. Natural language processing helps in understanding the speech of humans and thus able to process the caller type. Also, it helps in structuring the data in the groups to enhance the operation and function of banking. Moreover, increasing the adoption of technology and replacing traditional banking methods with digital banking is fueling the market share of global artificial intelligence in the BFSI market.
By Region Segmental Analysis
Based on geography, the global artificial intelligence in the BFSI market segmented into North America, Europe, Asia Pacific, South America, and Middle East & Africa. North America has the most extensive artificial intelligence in the BFSI market share and expected to maintain its dominant position during the forecast period. Global artificial intelligence in the BFSI market continues to grow in North America. It is due to countries prioritizing technological advancement and increasing investment in artificial intelligence technology to improve customer service and expand their business revenue.
Competitor Analysis
Companies such as Intel, NVIDIA, Samsung Electronics, Xilinx, Micron Technology, IBM, Microsoft, Google Inc, Amazon Web Services, Facebook, Baidu, Oracle, Salesforce, SAS, SAP SE, General Electric, Cisco, Rockwell Automation, Siemens, Graphcore and other key players in the global artificial intelligence in BFSI market.
Key Stakeholders
- Market research and consulting firms
- Industry associations
- Global artificial intelligence in BFSI service companies
- Research organizations and consulting companies’ artificial intelligence in BFSI
- Regulatory bodies
Recent Developments
- In August 2021, Capital Quant Solutions wins the AI GameChanger award for the BFSI sector at a program organized by NASSCOM and Microsoft to recognize AI GameChangers in India by 2021.
- In August 2021, The NSE Academy Limited announced a formal partnership with the Association for Financial Professionals to provide resources on the NSE Knowledge Hub and AFP education to allow Indian financial practitioners to access the financial planning and analysis content.
- Tata Communications launched ‘IZOTM Financial Cloud,’ a community cloud platform customized to meet the data privacy, protection compliance, and security guidelines defined by the BFSI sector.
The objective of the Research
- Market modeling starts with identifying a target market where historical data exists. A Market can include prediction problems, economic factors, analyzing customer behavior, and identifying new patterns from past events, which helps our client to have deep dive into the market.
- Product analysis involves steps such as examining product features, costs, availability, quality, and other aspects. Product analysis is conducted to understand potential buyers and measure competition in the market.
- Market Trend and Economic Factors Analysis helps in assessing potential changes to an economy’s inflation rate, taxes, interest rates, exchange rates, trading regulations, and excise duties that can or have a major effect on the target market.
- Market Segmental Analysis defines in-depth scenario of the target market by the process of grouping consumers into naturally existing created segments of consumers who share similar product preferences or characteristics
- The geographical mapping approach helps our clients to understand national or international markets because different consumers in different regions have different needs wants, and cultural characteristics that can be specifically targeted.
Market Modelling
By Offering
- Hardware
- Software
- Services
By Solutions
- Chatbots
- Fraud Detection & Prevention
- Anti-Money Laundering
- Customer Relationship Management
- Data Analytics & Prediction
- Others
By Technology
- Deep Learning
- Querying Method
- Natural Language Processing
- Context Aware Processing
By Region
- Europe
- North America
- Asia Pacific
- South America
- Middle East & Africa
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Global Artificial Intelligence in BFSI Market
Report Content
- Research Strategic Development
- Market Modelling
- Product Analysis
- Market Trend and Economic Factors Analysis
- Market Segmental Analysis
- Geographical Mapping
- Country Wise Segregation
- Research Methodology
- Identification of Target Market
- Data Acquisition
- Refining of Data/ Data Transformations
- Data Validation through Primary Techniques
- Exploratory Data Analysis
- Graphical Techniques/Analysis
- Quantitative Techniques/Analysis
- Visual Result/Presentation
- Executive Summary
- Market Insights
- Economic Factor Analysis
- Drivers
- Trends
- Opportunities
- Challenges
- Competitors & Product Analysis
- Regulatory Framework
- Company market share analysis, 2019
- Porter’s Five forces analysis
- New Investment Analysis
- PESTEL Analysis
- Global Artificial Intelligence in BFSI Market Overview
- Market Size & Forecast, 2016-2027
- Demand
- Market Share & Forecast, 2016-2027
- By Offering
- By Solutions
- Chatbots
- Fraud Detection & Prevention
- Anti-Money Laundering
- Customer Relationship Management
- Data Analytics & Prediction
- Others
- By Technology
- Deep Learning
- Querying Method
- Natural Language Processing
- Context Aware Processing
- By Region
- Europe
- North America
- Asia Pacific
- South America
- Middle East & Africa
- Europe Artificial Intelligence in BFSI Market Overview
- Europe Artificial Intelligence in BFSI Market Size & Forecast, 2016-2027
- Demand
- Europe Artificial Intelligence in BFSI Market Share & Forecast, 2016-2027
- By Offering
- By Solutions
- Chatbots
- Fraud Detection & Prevention
- Anti-Money Laundering
- Customer Relationship Management
- Data Analytics & Prediction
- Others
- By Technology
- Deep Learning
- Querying Method
- Natural Language Processing
- Context Aware Processing
- By Country
- Germany
- UK
- France
- Italy
- Rest of Europe
- Company Market Share (Top 3-5)
- Economic Impact Study on Europe Artificial Intelligence in BFSI Market
- North America Artificial Intelligence in BFSI Market Overview
- North America Artificial Intelligence in BFSI Market Size & Forecast, 2016-2027
- Demand
- North America Artificial Intelligence in BFSI Market Share & Forecast, 2016-2027
- By Offering
- By Solutions
- Chatbots
- Fraud Detection & Prevention
- Anti-Money Laundering
- Customer Relationship Management
- Data Analytics & Prediction
- Others
- By Technology
- Deep Learning
- Querying Method
- Natural Language Processing
- Context Aware Processing
- By Country
- Company Market Share (Top 3-5)
- Economic Impact Study on North America Artificial Intelligence in BFSI Market
- Asia Pacific Artificial Intelligence in BFSI Market Overview
- Asia Pacific Artificial Intelligence in BFSI Market Size & Forecast, 2016-2027
- Demand
- Asia Pacific Artificial Intelligence in BFSI Market Share & Forecast, 2016-2027
- By Offering
- By Solutions
- Chatbots
- Fraud Detection & Prevention
- Anti-Money Laundering
- Customer Relationship Management
- Data Analytics & Prediction
- Others
- By Technology
- Deep Learning
- Querying Method
- Natural Language Processing
- Context Aware Processing
- By Country
- China
- India
- Japan
- Australia
- Rest of Asia Pacific
- Company Market Share (Top 3-5)
- Economic Impact Study on Asia Pacific Artificial Intelligence in BFSI Market
- South America Artificial Intelligence in BFSI Market Overview
- South America Artificial Intelligence in BFSI Market Size & Forecast, 2016-2027
- Demand
- South America Artificial Intelligence in BFSI Market Share & Forecast, 2016-2027
- By Offering
- By Solutions
- Chatbots
- Fraud Detection & Prevention
- Anti-Money Laundering
- Customer Relationship Management
- Data Analytics & Prediction
- Others
- By Technology
- Deep Learning
- Querying Method
- Natural Language Processing
- Context Aware Processing
- By Country
- Brazil
- Argentina
- Rest of South America
- Company Market Share (Top 3-5)
- Economic Impact Study on South America Artificial Intelligence in BFSI Market
- Middle East & Africa Artificial Intelligence in BFSI Market Overview
- Middle East & Africa Artificial Intelligence in BFSI Market Size & Forecast, 2016-2027
- Demand
- Middle East & Africa Artificial Intelligence in BFSI Market Share & Forecast, 2016-2027
- By Offering
- By Solutions
- Chatbots
- Fraud Detection & Prevention
- Anti-Money Laundering
- Customer Relationship Management
- Data Analytics & Prediction
- Others
- By Technology
- Deep Learning
- Querying Method
- Natural Language Processing
- Context Aware Processing
- By Country
- Saudi Arabia
- UAE
- South Africa
- Rest of Middle East & Africa
- Company Market Share (Top 3-5)
- Economic Impact Study on Middle East & Africa Artificial Intelligence in BFSI Market
- Competitor Analysis
- Company Description
- Financial Analysis
- Key Products
- Key Management Personnel
- Contact Address
- SWOT Analysis
- Company Profile
- Intel
- NVIDIA
- Samsung Electronics
- Xilinx
- Micron Technology
- IBM
- Microsoft
- Google Inc
- Amazon Web Services
- Facebook
- Baidu
- Oracle
- Salesforce
- SAS
- SAP SE
- General Electric
- Cisco
- Rockwell Automation
- Siemens
- Graphcore
- Other players