AI in BFSI Ecosystem - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511244478

Publication Date:

November 4, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for AI in BFSI Ecosystem was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.88%, including software, hardware and services.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI in BFSI Ecosystem, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI in BFSI Ecosystem by region & country, by Type, and by Application.
The AI in BFSI Ecosystem market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI in BFSI Ecosystem.
麻豆原创 Segmentation
By Company
Google
Microsoft Corporation
Amazon Web Services Inc
IBM Corporation
Avaamo Inc
Baidu Inc
Cape Analytics LLC
Oracle Corporation
Segment by Type:
Machine Learning (ML)
Natural Language processing (NLP)
Predictive Analytics
Machine Vision
Segment by Application
Embossed FilmBanking
Insurance
Wealth Management
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of AI in BFSI Ecosystem manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of AI in BFSI Ecosystem in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of AI in BFSI Ecosystem in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 麻豆原创 Overview
1.1 AI in BFSI Ecosystem Product Introduction
1.2 Global AI in BFSI Ecosystem 麻豆原创 Size Forecast
1.3 AI in BFSI Ecosystem 麻豆原创 Trends & Drivers
1.3.1 AI in BFSI Ecosystem Industry Trends
1.3.2 AI in BFSI Ecosystem 麻豆原创 Drivers & Opportunity
1.3.3 AI in BFSI Ecosystem 麻豆原创 Challenges
1.3.4 AI in BFSI Ecosystem 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI in BFSI Ecosystem Players Revenue Ranking (2023)
2.2 Global AI in BFSI Ecosystem Revenue by Company (2019-2024)
2.3 Key Companies AI in BFSI Ecosystem Manufacturing Base Distribution and Headquarters
2.4 Key Companies AI in BFSI Ecosystem Product Offered
2.5 Key Companies Time to Begin Mass Production of AI in BFSI Ecosystem
2.6 AI in BFSI Ecosystem 麻豆原创 Competitive Analysis
2.6.1 AI in BFSI Ecosystem 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by AI in BFSI Ecosystem Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI in BFSI Ecosystem as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Machine Learning (ML)
3.1.2 Natural Language processing (NLP)
3.1.3 Predictive Analytics
3.1.4 Machine Vision
3.2 Global AI in BFSI Ecosystem Sales Value by Type
3.2.1 Global AI in BFSI Ecosystem Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global AI in BFSI Ecosystem Sales Value, by Type (2019-2030)
3.2.3 Global AI in BFSI Ecosystem Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Embossed FilmBanking
4.1.2 Insurance
4.1.3 Wealth Management
4.2 Global AI in BFSI Ecosystem Sales Value by Application
4.2.1 Global AI in BFSI Ecosystem Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global AI in BFSI Ecosystem Sales Value, by Application (2019-2030)
4.2.3 Global AI in BFSI Ecosystem Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global AI in BFSI Ecosystem Sales Value by Region
5.1.1 Global AI in BFSI Ecosystem Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global AI in BFSI Ecosystem Sales Value by Region (2019-2024)
5.1.3 Global AI in BFSI Ecosystem Sales Value by Region (2025-2030)
5.1.4 Global AI in BFSI Ecosystem Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America AI in BFSI Ecosystem Sales Value, 2019-2030
5.2.2 North America AI in BFSI Ecosystem Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe AI in BFSI Ecosystem Sales Value, 2019-2030
5.3.2 Europe AI in BFSI Ecosystem Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific AI in BFSI Ecosystem Sales Value, 2019-2030
5.4.2 Asia Pacific AI in BFSI Ecosystem Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America AI in BFSI Ecosystem Sales Value, 2019-2030
5.5.2 South America AI in BFSI Ecosystem Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI in BFSI Ecosystem Sales Value, 2019-2030
5.6.2 Middle East & Africa AI in BFSI Ecosystem Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI in BFSI Ecosystem Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions AI in BFSI Ecosystem Sales Value
6.3 United States
6.3.1 United States AI in BFSI Ecosystem Sales Value, 2019-2030
6.3.2 United States AI in BFSI Ecosystem Sales Value by Type (%), 2023 VS 2030
6.3.3 United States AI in BFSI Ecosystem Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe AI in BFSI Ecosystem Sales Value, 2019-2030
6.4.2 Europe AI in BFSI Ecosystem Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe AI in BFSI Ecosystem Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China AI in BFSI Ecosystem Sales Value, 2019-2030
6.5.2 China AI in BFSI Ecosystem Sales Value by Type (%), 2023 VS 2030
6.5.3 China AI in BFSI Ecosystem Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan AI in BFSI Ecosystem Sales Value, 2019-2030
6.6.2 Japan AI in BFSI Ecosystem Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan AI in BFSI Ecosystem Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea AI in BFSI Ecosystem Sales Value, 2019-2030
6.7.2 South Korea AI in BFSI Ecosystem Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea AI in BFSI Ecosystem Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia AI in BFSI Ecosystem Sales Value, 2019-2030
6.8.2 Southeast Asia AI in BFSI Ecosystem Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia AI in BFSI Ecosystem Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India AI in BFSI Ecosystem Sales Value, 2019-2030
6.9.2 India AI in BFSI Ecosystem Sales Value by Type (%), 2023 VS 2030
6.9.3 India AI in BFSI Ecosystem Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Google
7.1.1 Google Profile
7.1.2 Google Main Business
7.1.3 Google AI in BFSI Ecosystem Products, Services and Solutions
7.1.4 Google AI in BFSI Ecosystem Revenue (US$ Million) & (2019-2024)
7.1.5 Google Recent Developments
7.2 Microsoft Corporation
7.2.1 Microsoft Corporation Profile
7.2.2 Microsoft Corporation Main Business
7.2.3 Microsoft Corporation AI in BFSI Ecosystem Products, Services and Solutions
7.2.4 Microsoft Corporation AI in BFSI Ecosystem Revenue (US$ Million) & (2019-2024)
7.2.5 Microsoft Corporation Recent Developments
7.3 Amazon Web Services Inc
7.3.1 Amazon Web Services Inc Profile
7.3.2 Amazon Web Services Inc Main Business
7.3.3 Amazon Web Services Inc AI in BFSI Ecosystem Products, Services and Solutions
7.3.4 Amazon Web Services Inc AI in BFSI Ecosystem Revenue (US$ Million) & (2019-2024)
7.3.5 IBM Corporation Recent Developments
7.4 IBM Corporation
7.4.1 IBM Corporation Profile
7.4.2 IBM Corporation Main Business
7.4.3 IBM Corporation AI in BFSI Ecosystem Products, Services and Solutions
7.4.4 IBM Corporation AI in BFSI Ecosystem Revenue (US$ Million) & (2019-2024)
7.4.5 IBM Corporation Recent Developments
7.5 Avaamo Inc
7.5.1 Avaamo Inc Profile
7.5.2 Avaamo Inc Main Business
7.5.3 Avaamo Inc AI in BFSI Ecosystem Products, Services and Solutions
7.5.4 Avaamo Inc AI in BFSI Ecosystem Revenue (US$ Million) & (2019-2024)
7.5.5 Avaamo Inc Recent Developments
7.6 Baidu Inc
7.6.1 Baidu Inc Profile
7.6.2 Baidu Inc Main Business
7.6.3 Baidu Inc AI in BFSI Ecosystem Products, Services and Solutions
7.6.4 Baidu Inc AI in BFSI Ecosystem Revenue (US$ Million) & (2019-2024)
7.6.5 Baidu Inc Recent Developments
7.7 Cape Analytics LLC
7.7.1 Cape Analytics LLC Profile
7.7.2 Cape Analytics LLC Main Business
7.7.3 Cape Analytics LLC AI in BFSI Ecosystem Products, Services and Solutions
7.7.4 Cape Analytics LLC AI in BFSI Ecosystem Revenue (US$ Million) & (2019-2024)
7.7.5 Cape Analytics LLC Recent Developments
7.8 Oracle Corporation
7.8.1 Oracle Corporation Profile
7.8.2 Oracle Corporation Main Business
7.8.3 Oracle Corporation AI in BFSI Ecosystem Products, Services and Solutions
7.8.4 Oracle Corporation AI in BFSI Ecosystem Revenue (US$ Million) & (2019-2024)
7.8.5 Oracle Corporation Recent Developments
8 Industry Chain Analysis
8.1 AI in BFSI Ecosystem Industrial Chain
8.2 AI in BFSI Ecosystem Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 AI in BFSI Ecosystem Sales Model
8.5.2 Sales Channel
8.5.3 AI in BFSI Ecosystem Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Google
Microsoft Corporation
Amazon Web Services Inc
IBM Corporation
Avaamo Inc
Baidu Inc
Cape Analytics LLC
Oracle Corporation

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