Market Overview:
The global cloud AI in fintech market is expected to grow at a CAGR of 33.8% during the forecast period from 2018 to 2030. The growth of the market can be attributed to the increasing demand for chatbots, credit scoring, quantitative and asset management, fraud detection, and other applications of cloud AI in fintech. North America is expected to hold the largest share of the global cloud AI in fintech market during the forecast period followed by Europe and Asia Pacific.
Product Definition:
In Fintech, Cloud AI can be used for a variety of purposes such as customer service, risk detection, and fraud prevention. By using Cloud AI services, businesses can offload the burden of data processing and analytics to a provider that has the infrastructure and expertise to do so. This allows businesses to focus on their core competencies while still benefiting from the advantages of artificial intelligence.
Solutions:
The global solutions market size was valued at USD 6.86 billion in 2017 and is expected to register a CAGR of XX% from 2018 to 2025 owing to the growing demand for cloud-based services across financial institutions, enterprises, and other industries. The increasing adoption of Artificial Intelligence (AI) based solutions by financial institutes for various applications such as risk management & fraud detection is anticipated to drive the growth over the forecast period.
Services:
The services are the set of tools, techniques and technologies that help to improve efficiency in financial institutions. The cloud AI in fintech market is expected to grow at a significant pace owing to increasing demand for Artificial Intelligence (AI) powered solutions from banks and other financial institutes. Services such as machine learning, data analytics, business intelligence and others are used by banking institutes for improving their processes.
Application Insights:
The other applications of cloud AI in fintech include virtual assistant, predictive analytics, and digital wallet. The others segment accounted for a major share in the market as of 2017. This is attributed to increasing adoption of chatbots by banks and financial institutions to provide better customer experience. For instance, UBS has deployed a virtual personal assistant named Claudia that provides investment advice through text messages sent by mobile phones to customers¢â‚¬â„¢ cellphones. Similarly, Credit Suisse has introduced an automated phone system that can answer questions from customers without the need for human intervention.
Regional Analysis:
North America dominated the global market in 2017. The growth of the regional market can be attributed to several factors such as increasing adoption of cloud-based services, rising investments in artificial intelligence, and growing focus on developing innovative banking solutions. Moreover, technological advancements such as machine learning and natural language processing are expected to fuel the demand for AI-enabled financial services over the forecast period.
Asia Pacific is anticipated to emerge as a lucrative region during the forecast period owing to increasing investments by prominent players in developing innovative products based on artificial intelligence technology for customer engagement and business growth. Furthermore, favorable government initiatives regarding digitalization are also expected to drive regional growth over next eight years. For instance, China launched its 13th Five Year Plan (2016 - 2020) with an aim towards building a moderately well-off society by 2020 through various strategies including innovation development strategy (IDS).
Growth Factors:
- Increased demand for AI-powered financial services: The global market for AI in finance is expected to grow at a CAGR of more than 45% from 2018 to 2024, according to MarketsandMarkets. This growth is being driven by the increasing demand for AI-powered financial services from both consumers and businesses.
- Rapid advancements in artificial intelligence technology: One of the key drivers of the growth of cloud AI in fintech is the rapid advancements in artificial intelligence technology. This has led to the development of new applications and platforms that are making it easier for businesses to adopt AI-based solutions.
- Growing focus on data analytics: Another key driver behind the growth of cloud AI in fintech is the growing focus on data analytics among businesses worldwide. By harnessing big data and using advanced analytical techniques, businesses can gain valuable insights into their customers’ needs and preferences, which can help them improve their products and services offerings accordingly.
Scope Of The Report
Report Attributes
Report Details
Report Title
Cloud AI in Fintech Market Research Report
By Type
Solutions, Services
By Application
Chatbots, Credit Scoring, Quantitative and Asset Management, Fraud Detection, Others
By Companies
Autodesk, IBM, SAP, Fanuc, Hanson Robotics, Oracle, Microsoft
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
131
Number of Tables & Figures
92
Customization Available
Yes, the report can be customized as per your need.
Global Cloud AI in Fintech Market Report Segments:
The global Cloud AI in Fintech market is segmented on the basis of:
Types
Solutions, Services
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Chatbots, Credit Scoring, Quantitative and Asset Management, Fraud Detection, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Autodesk
- IBM
- SAP
- Fanuc
- Hanson Robotics
- Oracle
- Microsoft
Highlights of The Cloud AI in Fintech Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Solutions
- Services
- By Application:
- Chatbots
- Credit Scoring
- Quantitative and Asset Management
- Fraud Detection
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Cloud AI in Fintech Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Cloud AI is a term used to describe artificial intelligence technology that resides in the cloud. This means that it can be accessed by multiple users from anywhere in the world, making it an ideal solution for Fintech companies who need to scale their operations quickly and easily.
Some of the key players operating in the cloud ai in fintech market are Autodesk, IBM, SAP, Fanuc, Hanson Robotics, Oracle, Microsoft.
The cloud ai in fintech market is expected to grow at a compound annual growth rate of 33.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Cloud AI in Fintech Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Cloud AI in Fintech Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Cloud AI in Fintech Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Cloud AI in Fintech Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Cloud AI in Fintech Market Size & Forecast, 2018-2028
4.5.1 Cloud AI in Fintech Market Size and Y-o-Y Growth
4.5.2 Cloud AI in Fintech Market Absolute $ Opportunity
Chapter 5 Global Cloud AI in Fintech Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Cloud AI in Fintech Market Size Forecast by Type
5.2.1 Solutions
5.2.2 Services
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Cloud AI in Fintech Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Cloud AI in Fintech Market Size Forecast by Applications
6.2.1 Chatbots
6.2.2 Credit Scoring
6.2.3 Quantitative and Asset Management
6.2.4 Fraud Detection
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Cloud AI in Fintech Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Cloud AI in Fintech Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Cloud AI in Fintech Analysis and Forecast
9.1 Introduction
9.2 North America Cloud AI in Fintech Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Cloud AI in Fintech Market Size Forecast by Type
9.6.1 Solutions
9.6.2 Services
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Cloud AI in Fintech Market Size Forecast by Applications
9.10.1 Chatbots
9.10.2 Credit Scoring
9.10.3 Quantitative and Asset Management
9.10.4 Fraud Detection
9.10.5 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Cloud AI in Fintech Analysis and Forecast
10.1 Introduction
10.2 Europe Cloud AI in Fintech Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Cloud AI in Fintech Market Size Forecast by Type
10.6.1 Solutions
10.6.2 Services
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Cloud AI in Fintech Market Size Forecast by Applications
10.10.1 Chatbots
10.10.2 Credit Scoring
10.10.3 Quantitative and Asset Management
10.10.4 Fraud Detection
10.10.5 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Cloud AI in Fintech Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Cloud AI in Fintech Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Cloud AI in Fintech Market Size Forecast by Type
11.6.1 Solutions
11.6.2 Services
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Cloud AI in Fintech Market Size Forecast by Applications
11.10.1 Chatbots
11.10.2 Credit Scoring
11.10.3 Quantitative and Asset Management
11.10.4 Fraud Detection
11.10.5 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Cloud AI in Fintech Analysis and Forecast
12.1 Introduction
12.2 Latin America Cloud AI in Fintech Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Cloud AI in Fintech Market Size Forecast by Type
12.6.1 Solutions
12.6.2 Services
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Cloud AI in Fintech Market Size Forecast by Applications
12.10.1 Chatbots
12.10.2 Credit Scoring
12.10.3 Quantitative and Asset Management
12.10.4 Fraud Detection
12.10.5 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Cloud AI in Fintech Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Cloud AI in Fintech Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Cloud AI in Fintech Market Size Forecast by Type
13.6.1 Solutions
13.6.2 Services
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Cloud AI in Fintech Market Size Forecast by Applications
13.10.1 Chatbots
13.10.2 Credit Scoring
13.10.3 Quantitative and Asset Management
13.10.4 Fraud Detection
13.10.5 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Cloud AI in Fintech Market: Competitive Dashboard
14.2 Global Cloud AI in Fintech Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Autodesk
14.3.2 IBM
14.3.3 SAP
14.3.4 Fanuc
14.3.5 Hanson Robotics
14.3.6 Oracle
14.3.7 Microsoft
