
The value of machine learning in finance is becoming more apparent by the day. As banks and other financial institutions strive to beef up security, streamline processes, and improve financial analysis, ML is becoming the technology of choice.
The global Machine Learning in Finance market is projected to reach US$ 1194.9 million in 2029, increasing from US$ 546 million in 2022, with the CAGR of 12.9% during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Machine Learning in Finance 91ÖÆÆ¬³§.
Key companies engaged in the Machine Learning in Finance industry include Ignite Ltd, Yodlee, Trill A.I., MindTitan, Accenture and ZestFinance, etc. Among those companies, the top 3 players guaranteed % supply worldwide in 2022.
When refers to consumption region, % value of Machine Learning in Finance were sold to North America, Europe and Asia Pacific in 2022. Moreover, China, plays a key role in the whole Machine Learning in Finance market and estimated to attract more attentions from industry insiders and investors.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Machine Learning in Finance market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Ignite Ltd
Yodlee
Trill A.I.
MindTitan
Accenture
ZestFinance
Segment by Type
Supervised Learning
Unsupervised Learning
Semi Supervised Learning
Reinforced Leaning
Segment by Application
Banks
Securities Company
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The Machine Learning in Finance report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning in Finance Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Supervised Learning
1.2.3 Unsupervised Learning
1.2.4 Semi Supervised Learning
1.2.5 Reinforced Leaning
1.3 Market by Application
1.3.1 Global Machine Learning in Finance Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Banks
1.3.3 Securities Company
1.3.4 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning in Finance Market Perspective (2018-2029)
2.2 Machine Learning in Finance Growth Trends by Region
2.2.1 Global Machine Learning in Finance Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Machine Learning in Finance Historic Market Size by Region (2018-2023)
2.2.3 Machine Learning in Finance Forecasted Market Size by Region (2024-2029)
2.3 Machine Learning in Finance Market Dynamics
2.3.1 Machine Learning in Finance Industry Trends
2.3.2 Machine Learning in Finance Market Drivers
2.3.3 Machine Learning in Finance Market Challenges
2.3.4 Machine Learning in Finance Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Machine Learning in Finance Players by Revenue
3.1.1 Global Top Machine Learning in Finance Players by Revenue (2018-2023)
3.1.2 Global Machine Learning in Finance Revenue Market Share by Players (2018-2023)
3.2 Global Machine Learning in Finance Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Machine Learning in Finance Revenue
3.4 Global Machine Learning in Finance Market Concentration Ratio
3.4.1 Global Machine Learning in Finance Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning in Finance Revenue in 2022
3.5 Machine Learning in Finance Key Players Head office and Area Served
3.6 Key Players Machine Learning in Finance Product Solution and Service
3.7 Date of Enter into Machine Learning in Finance Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning in Finance Breakdown Data by Type
4.1 Global Machine Learning in Finance Historic Market Size by Type (2018-2023)
4.2 Global Machine Learning in Finance Forecasted Market Size by Type (2024-2029)
5 Machine Learning in Finance Breakdown Data by Application
5.1 Global Machine Learning in Finance Historic Market Size by Application (2018-2023)
5.2 Global Machine Learning in Finance Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Machine Learning in Finance Market Size (2018-2029)
6.2 North America Machine Learning in Finance Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Machine Learning in Finance Market Size by Country (2018-2023)
6.4 North America Machine Learning in Finance Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Machine Learning in Finance Market Size (2018-2029)
7.2 Europe Machine Learning in Finance Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Machine Learning in Finance Market Size by Country (2018-2023)
7.4 Europe Machine Learning in Finance Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Machine Learning in Finance Market Size (2018-2029)
8.2 Asia-Pacific Machine Learning in Finance Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Machine Learning in Finance Market Size by Region (2018-2023)
8.4 Asia-Pacific Machine Learning in Finance Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Machine Learning in Finance Market Size (2018-2029)
9.2 Latin America Machine Learning in Finance Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Machine Learning in Finance Market Size by Country (2018-2023)
9.4 Latin America Machine Learning in Finance Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Machine Learning in Finance Market Size (2018-2029)
10.2 Middle East & Africa Machine Learning in Finance Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Machine Learning in Finance Market Size by Country (2018-2023)
10.4 Middle East & Africa Machine Learning in Finance Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Ignite Ltd
11.1.1 Ignite Ltd Company Detail
11.1.2 Ignite Ltd Business Overview
11.1.3 Ignite Ltd Machine Learning in Finance Introduction
11.1.4 Ignite Ltd Revenue in Machine Learning in Finance Business (2018-2023)
11.1.5 Ignite Ltd Recent Development
11.2 Yodlee
11.2.1 Yodlee Company Detail
11.2.2 Yodlee Business Overview
11.2.3 Yodlee Machine Learning in Finance Introduction
11.2.4 Yodlee Revenue in Machine Learning in Finance Business (2018-2023)
11.2.5 Yodlee Recent Development
11.3 Trill A.I.
11.3.1 Trill A.I. Company Detail
11.3.2 Trill A.I. Business Overview
11.3.3 Trill A.I. Machine Learning in Finance Introduction
11.3.4 Trill A.I. Revenue in Machine Learning in Finance Business (2018-2023)
11.3.5 Trill A.I. Recent Development
11.4 MindTitan
11.4.1 MindTitan Company Detail
11.4.2 MindTitan Business Overview
11.4.3 MindTitan Machine Learning in Finance Introduction
11.4.4 MindTitan Revenue in Machine Learning in Finance Business (2018-2023)
11.4.5 MindTitan Recent Development
11.5 Accenture
11.5.1 Accenture Company Detail
11.5.2 Accenture Business Overview
11.5.3 Accenture Machine Learning in Finance Introduction
11.5.4 Accenture Revenue in Machine Learning in Finance Business (2018-2023)
11.5.5 Accenture Recent Development
11.6 ZestFinance
11.6.1 ZestFinance Company Detail
11.6.2 ZestFinance Business Overview
11.6.3 ZestFinance Machine Learning in Finance Introduction
11.6.4 ZestFinance Revenue in Machine Learning in Finance Business (2018-2023)
11.6.5 ZestFinance Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Ignite Ltd
Yodlee
Trill A.I.
MindTitan
Accenture
ZestFinance
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*If Applicable.
