Artificial Intelligence in BFSI Market Segments: By Offerings (Hardware, Software and Services); By Solutions (Chatbots, Fraud Detection & Prevention, Anti-Money Laundering, Customer Relationship Management, Data Analytics & Prediction and Others); and Region – Global Analysis of Market Size, Share & Trends for 2019 – 2020 and Forecasts to 2030
Artificial Intelligence in BFSI Market Segments: By Offerings (Hardware, Software and Services); By Solutions (Chatbots, Fraud Detection & Prevention, Anti-Money Laundering, Customer Relationship Management, Data Analytics & Prediction and Others); and Region – Global Analysis of Market Size, Share & Trends for 2019 – 2020 and Forecasts to 2030
Product Overview
Artificial intelligence (AI) is a branch of computer science concerned with the creation of intelligent machines that function and perform tasks in the same way that humans do. As a result, it has become a critical component of technology in the BFSI sector. AI has become a key adaption of any sector in financial institutions and other major financial sectors, and it is expected to transform the overall scenario of service offerings. Many conventional banking issues, such as increased capital demand, have found an AI-based solution in the BFSI market. Insurance firms, for example, are using advanced AI technical platforms to improve risk models in order to preserve customer loyalty and satisfaction.
Market Highlights
Global Artificial Intelligence in BFSI Market is expected to project a notable CAGR of 37.8% in 2030.
Global Artificial Intelligence in BFSI Market to surpass USD 93.5 billion by 2030 from USD 6.2 billion in 2020 at a CAGR of 37.8% in the coming years, i.e., 2021-30. Surging demand of Artificial Intelligence in BFSI from numerous end-user industries is the key factor contributing in market growth. Furthermore, developing countries are focusing their resources on large-scale projects in order to increase competitiveness and consolidate technology in the industry. Furthermore, recent developments in artificial intelligence and predictive analytics have created new opportunities for companies in the finance, financial services, and insurance industries in sales and service, among other fields.
Global Artificial Intelligence in BFSI Market: Segments
Software segment to grow with the highest CAGR during 2020-30
Global Artificial Intelligence in BFSI Market is segmented by offering into Hardware, Software, and Services. Software segment held the largest market share in the year 2020 since these services help financial institutions monitor transactions, validate data, produce reports, and extract customer information, they are extremely beneficial. Furthermore, software tools in artificial intelligence in the BFSI industry significantly simplify the security and analysis of the know your customer (KYC) method for verification.
Chatbots segment to grow with the highest CAGR during 2020-30
Global Artificial Intelligence in BFSI Market is segmented by solution into Chatbots, Fraud Detection & Prevention, Anti-Money Laundering, Customer Relationship Management, Data Analytics & Prediction, and Others. Chatbots segment held the largest market share in the year 2020. Since chatbots, which are driven by natural language processing, enable banks and other financial institutions to quickly respond to common customer service inquiries, enhance onboarding processes, and increase sales effectiveness, they are becoming increasingly popular. It also improves cost-cutting by lowering consumer acquisition costs on a wide scale and collecting real-time input from industrial customers.
Market Dynamics
Drivers
Customer experience and chatbots and Robo-advisors
Surging demand of Artificial Intelligence in BFSI Market from numerous end-user industries is the key factor contributing in the market growth. The growth of AI in the BFSI market is expected to be driven by proactive customer experience by automating backend processes to reduce human error with the aid of AI. Chatbots and Robo-advisors for financial products, as well as smart wallets, are some of the other factors driving the market growth. Additionally, AI-enabled technologies such as chatbots, machine learning, and other similar technologies enhance fraud detection, risk reduction, and back-end office work with thousands of people handling customer requests, boosting market development.
Adoption in financial services and increasing use of artificial intelligence
Artificial intelligence adoption in the financial services sector is one of the fastest-growing industry verticals. This is due to the increasing use of artificial intelligence and machine learning in various industries around the world. One of AI's most important features in the BFSI industry is its ability to react probabilistically to ambiguous real-world inputs. Analytics, bots, robotic process automation (RPA), and report generation are some of the most common applications of artificial intelligence in banking.
Restraint
Higher implementation of costs AI technologies and increased security risks
However, higher implementation costs for AI technologies increased security risks, and a lack of confidence when issuing customer data are expected to limit the market growth.
Global Artificial Intelligence in BFSI Market: Key Players
Baidu, Inc.
Company Overview, Business Strategy, Key Product Offerings, Financial Performance, Key Performance Indicators, Risk Analysis, Recent Development, Regional Presence, SWOT Analysis
Inbenta Technologies, Inc.
Intel Corporation
International Business Machines Corporation (IBM)
Microsoft Corporation
Oracle Corporation
Palantir Technologies Inc.
SAP SE
Salesforce.com, Inc.
Digital Reasoning Inc.
Other Prominent Players
Global Artificial Intelligence in BFSI Market: Regions
Global Artificial Intelligence in BFSI Market is segmented based on regional analysis into five major regions. These include North America, Latin America, Europe, Asia Pacific, and the Middle East and Africa.
Global Artificial Intelligence in BFSI Market in North America held the largest market in the year 2020 in terms of revenue. Commercial banks in these regions are prioritizing technological advances, with increased investments in artificial intelligence technology aimed at enhancing customer support and increasing revenue in their companies, propelling artificial intelligence's growth in the BFSI sector in the area. However, due to the emerging economies in the region, Asia-Pacific is expected to develop at the fastest pace in the near future.
Global Artificial Intelligence in BFSI Market is further segmented by region into:
North America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United States and Canada
Latin America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – Mexico, Argentina, Brazil,, and Rest of Latin America
Europe Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United Kingdom, France, Germany, Italy, Spain, Belgium, Hungary, Luxembourg, Netherlands, Poland, NORDIC, Russia, Turkey,, and Rest of Europe
Asia Pacific Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – India, China, South Korea, Japan, Malaysia, Indonesia, New Zealand, Australia,, and Rest of APAC
Middle East and Africa Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – North Africa, Israel, GCC, South Africa,, and Rest of MENA
Global Artificial Intelligence in BFSI Market report also contains analysis on:
Artificial Intelligence in BFSI Market Segments:
By Offerings
Hardware
Software
Services
By Solution
Chatbots
Fraud Detection & Prevention
Anti-Money Laundering
Customer Relationship Management
Data Analytics & Prediction
Others
Artificial Intelligence in BFSI Dynamics
Artificial Intelligence in BFSI Size
Supply & Demand
Current Trends/Issues/Challenges
Compete
Artificial Intelligence in BFSI Market Report Scope and Segmentation
Frequently Asked Questions
How big is Artificial Intelligence in BFSI market
What is Artificial Intelligence in BFSI market growth
Which segment accounted for the largest Artificial Intelligence in BFSI market share
Who are the key players in Artificial Intelligence in BFSI market
What are the factors driving Artificial Intelligence in BFSI market
Contents
1. Executive Summary
2. Global Artificial Intelligence in BFSI Market
1. Product Overview
2. Market Definition
3. Segmentation
4. Assumptions and Acronyms
3. Research Methodology
1. Research Objectives
2. Primary Research
3. Secondary Research
4. Forecast Model
5. Market Size Estimation
4. Average Pricing Analysis
5. Macro-Economic Indicators
6. Market Dynamics
1. Growth Drivers
2. Restraints
3. Opportunity
4. Trends
7. Correlation & Regression Analysis
1. Correlation Matrix
2. Regression Matrix
8. Recent Development, Policies & Regulatory Landscape
9. Risk Analysis
1. Demand Risk Analysis
2. Supply Risk Analysis
10. Global Artificial Intelligence in BFSI Market Analysis
1. Porters Five Forces
1. Threat of New Entrants
2. Bargaining Power of Suppliers
3. Threat of Substitutes
4. Rivalry
2. PEST Analysis
1. Political
2. Economic
3. Social
4. Technological
11. Global Artificial Intelligence in BFSI Market
1. Market Size & forecast, 2020A-2030F
1. By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
2. By Volume (Million Units) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
12. Global Artificial Intelligence in BFSI Market: Market Segmentation
1. By Regions
1. North America:(U.S. and Canada), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
2. Latin America: (Brazil, Mexico, Argentina, Rest of Latin America), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
3. Europe: (Germany, UK, France, Italy, Spain, BENELUX, NORDIC, Hungary, Poland, Turkey, Russia, Rest of Europe), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
4. Asia-Pacific: (China, India, Japan, South Korea, Indonesia, Malaysia, Australia, New Zealand, Rest of Asia Pacific), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
5. Middle East and Africa: (Israel, GCC, North Africa, South Africa, Rest of Middle East and Africa), By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
2. By offerings: Market Share (2020-2030F)
1. Hardware, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
2. Software, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
3. Services, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
3. By Solution: Market Share (2020-2030F)
1. Chatbots, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
2. Fraud Detection & Prevention, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
3. Anti-Money Laundering, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
4. Customer Relationship Management, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
5. Data Analytics & Prediction, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
6. Others, By Value (USD Million) 2020-2030F; Y-o-Y Growth (%) 2021-2030F
Company Profile
1. Baidu, Inc.
1. Company Overview
2. Company Total Revenue (Financials)
3. Market Potential
4. Global Presence
5. Key Performance Indicators
6. SWOT Analysis
7. Product Launch
2. Inbenta Technologies, Inc.
3. Intel Corporation
4. International Business Machines Corporation (IBM)
5. Microsoft Corporation
6. Oracle Corporation
7. Palantir Technologies Inc.
8. SAP SE
9. Salesforce.com, Inc.
10. Digital Reasoning Inc.
11. Other Prominent Players
Consultant Recommendation
**The above-given segmentations and companies could be subjected to further modification based on in-depth feasibility studies conducted for the final deliverable.
Methodology/Research Approach
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.Research Programs/Design
Historical Data (2015-2019) |
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Influencing Factors |
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Market Forecast (2021-2026) |
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Market Size Estimation
Top-down and bottom-up approaches are used to validate the global Voluntary Carbon Offset market size market and estimate the market size for Company, regions segments, product segments and Application (end users).
The market estimations in this report are based on the marketed sale price of Voluntary Carbon Offset (excluding any discounts provided by the player, distributor, wholesaler or traders). The percentage splits, market share, and breakdowns of the product segments are derived on the basis of weights assigned to each of the segments on the basis of their utilization rate and average sale price. The regional splits of the overall Voluntary Carbon Offset market and its sub-segments are based on the percentage adoption or utilization of the given product in the respective region or country.
Major Company in the market is identified through secondary research and their market revenues determined through primary and secondary research. Secondary research included the research of the annual and financial reports of the top Company; whereas, primary research included extensive interviews of key opinion leaders and industry experts such as experienced front-line staff, directors, CEOs and marketing executives. The percentage splits, market share, Growth Rate and breakdowns of the product markets are determined through using secondary sources and verified through the primary sources.
All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Market Intellix and presented in this report
The following figure shows an illustrative representation of the overall market size estimation process used for this study.
Market Breakdown and Data Triangulation
After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.
Data Source
Secondary Sources
Secondary sources include such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, etc. This research study involves the usage of widespread secondary sources, directories, databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), and TRADING ECONOMICS, and News Network, statista, Federal Reserve Economic Data, annual reports, BIS Statistics, ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and Hospitals study of the Voluntary Carbon Offset market. It was also used to obtain important information about the top companies, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.
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Market Position of Top Company |
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Qualitative Analysis |
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Primary Sources
In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product Company (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.
The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end use (product buyers), and related key executives from various key companies and organizations operating in the global market.
Primary research was conducted to identify segmentation Type, product price range, product Application, key Company, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.
Key Executives Interviewed
Key Data Information from Primary Sources
Primary Sources | Parameters | Key Data |
Market Segments(by Application, by Type) |
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Total Market |
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