The AI asset management tool market is set to progress at a CAGR of 10.60% through 2034. The market value is slated to increase from US$ 8,296.10 million in 2024 to US$ 3,029.16 million by 2034.
| Attributes | Details |
|---|---|
| AI Asset Management Tool Market Size, 2024 | US$ 3,029.16 million |
| AI Asset Management Tool Market Size, 2034 | US$ 8,296.10 million |
| Value CAGR (2024 to 2034) | 10.60% |
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Keeping budgets in check fuels the adoption of AI asset management tools in the finance sector. The affluence of private banks sees them using AI asset management tools without much hesitation. Other factors influencing the market expansion include:
The sudden surge in technological advances in the business sector worldwide is impacting market growth. With developments in advanced technology, the sector is experiencing a revolution in its core assets such as asset management and others.
Several industries are seeking out the management of their important applications, such as trading, portfolio management, and risk management. As a result, AI has entered as an emerging aspect of this industry. Implementing the Internet of Things in industries also contributes to market growth.
The fintech sector has seen the need for advice in recent years. AI is creating significant opportunities in this sector. Robo-advising is gaining much popularity in the industry, particularly in fields such as democratizing investment advisory and robo-advisory, making it cheaper and more accessible to unsophisticated individual investors.
Manufacturers are continuously focusing on improving their tools. Emerging trends of AI are contributing to the growth of the industry, with a special focus on innovation and other streams. Moreover, the need to monitor asset performance is gaining attention toward tools that handle it swiftly and improve overall system reliability. Thus, AI asset management tools are gaining traction in the current period.
With the demand for improving efficacy in work related to data entry, compliance monitoring, and report generation, AI tools are increasingly used in this field. In the integration of AI in the asset management industry, several financial professionals and asset managers are adopting AI tools for their practices.
Improving risk management and fraud detection is on the rise. AI tools are significantly helping in the detection of market disruption, irregular trading patterns, and spotting unusual activities in fraud detection. These characteristics make AI tools a perfect and precise asset for several business activities.
All over the world, artificial intelligence is still developing and learning. It greatly depends on and can only work with subjects that it has already learned. The development of AI in states is anticipated to create lucrative opportunities in the coming years.
Generic response is another concern that acts as a headache for software manufacturers. AI can record and react to generic subjects common to all experiences, businesses, and others. Thus, businesses are seeking out tools that reduce the time for training and other facilities.
Need for data safety is the primary aim of all businesses across the world in the current period. Data safety is increasingly important, and all AI systems run on data. Organizations are developing secure systems to protect their data from cyber-attacks and digital theft.
Principal Consultant
| Attributes | Details |
|---|---|
| Solution | Enterprise Asset Management (EAM) Systems |
| Market share in 2024 | 28% |
The emergence of the Internet of Things deployment in industries to manage assets is a growing trend. To improve the efficacy and productivity of employees, AI integration is becoming increasingly popular in enterprise asset management systems. The escalating need for EAM solutions is likely to continue growing as more businesses invest in their IT infrastructure instead of investing in manual or physical infrastructure.
| Attributes | Details |
|---|---|
| End User | Banks |
| Market share in 2024 | 38.22% |
The need to analyze vast amounts of data and create personalized investment strategies is expected to drive the demand for AI asset management in banks. Banks are increasingly implementing AI in their processes to improve their work efficiency and financial clarity. Having a vast customer base and strategic relationships with clients gives the market an advantage.
For the management of rules and regulations, banks have effectively started using AI management tools. AI tools are helping them reduce errors and mitigate risks by providing a reliable and secure investment platform.
| Countries | Forecasted CAGR from 2024 to 2034 |
|---|---|
| United States | 7.50% |
| Germany | 4.10% |
| China | 11.10% |
| Japan | 3.40% |
| Australia | 14.10% |
New innovations and technologies are contributing to market growth in the United States. Several financial sectors are integrating them into their work or business for the security and clarity of financial assets. The United States is considered a technologically advanced region. Manufacturers in the United States are investing in research and development activities to upgrade their AI tools.
According to our analysis, 73% of companies in the United States are using AI in some aspect of their work or business. The banking sector of the United States is unpredictable and changing, and it is expected to create lucrative opportunities in the market. Latest AI related developments, such as Chatbots and conversational interfaces, are in high demand in the United States. Banks are relying on them to improve consumer experience and other facilities in the country.
China is a hub for technological advances. Financial institutions in China are increasingly restructuring their data management methods and strategies with the integration of AI. The artificial intelligence industry in China is rapidly evolving.
Government initiatives toward technology development are expected to drive the demand for the market in China. Governments are setting rules and regulations for companies operating in China, such as requiring each company to implement the development of a specialized AI sector in the country and others. Moreover, investors are looking for investment opportunities in China where the use of AI is prevalent.
The government in Germany is promoting the adoption of AI in the banking and other financial sectors in various ways. Other fintech companies are testing their innovative products and services in the current period.
With a vibrant fintech ecosystem and the rise of many startups using artificial intelligence to replace the traditional financial sector in Germany, several collaborations and partnerships have been observed between industries and institutes in Germany.
Financial institutes of Japan are looking to increase work efficiency and maintain market reputation. Japan is one step ahead of other regions in innovation and technology utilization. Some of the prominent factors driving the market include portfolio management, risk assessment, and others.
Australia is facing problems in the financial sector, such as complexity in financial products and services. As AI helps to monitor and analyze big data, asset managers are increasingly preferring AI asset management tools for their business.
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The market is witnessing rapid development and evolution. Key players are investing in improving their tools to gain traction in the market. Several strategies are changing the market landscape by disrupting traditional asset management methods and introducing unique approaches.
The market is anticipated to experience exponential growth during the forecast period owing to research and innovations by market players. Many financial sectors are adopting AI asset management tools to improve their work efficacy and accuracy. Manufacturers are looking to boost customer loyalty by implementing new marketing strategies.
Recent Developments
The CAGR of the AI asset management tool market in the United States from 2024 to 2034 is estimated to be 7.50%.
The AI asset management tool market is expected to develop at a CAGR of 10.60% from 2024 to 2034.
The AI asset management tool market size is expected to be worth US$ 3,029.16 million in 2024.
The CAGR of the AI asset management tool market between 2024 and 2034 in China is estimated to be 11.10%.
The AI asset management tool market is estimated to get as big as US$ 8,296.10 million by 2034.
The AI asset management tool market can be segmented by solution, end user, and region.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2019 to 2023 and Forecast, 2024 to 2034
4.1. Historical Market Size Value (US$ Million) Analysis, 2019 to 2023
4.2. Current and Future Market Size Value (US$ Million) Projections, 2024 to 2034
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Technology
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Technology, 2019 to 2023
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Technology, 2024 to 2034
5.3.1. Machine Learning
5.3.2. Natural Language Processing (NLP)
5.3.3. Others
5.4. Y-o-Y Growth Trend Analysis By Technology, 2019 to 2023
5.5. Absolute $ Opportunity Analysis By Technology, 2024 to 2034
6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Deployment Mode
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Deployment Mode, 2019 to 2023
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Mode, 2024 to 2034
6.3.1. On-Premises
6.3.2. Cloud
6.4. Y-o-Y Growth Trend Analysis By Deployment Mode, 2019 to 2023
6.5. Absolute $ Opportunity Analysis By Deployment Mode, 2024 to 2034
7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Application
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Application, 2019 to 2023
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2024 to 2034
7.3.1. Portfolio Optimization
7.3.2. Conversational Platform
7.3.3. Risk & Compliance
7.3.4. Data Analysis
7.3.5. Process Automation
7.3.6. Others
7.4. Y-o-Y Growth Trend Analysis By Application, 2019 to 2023
7.5. Absolute $ Opportunity Analysis By Application, 2024 to 2034
8. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2019 to 2023
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2024 to 2034
8.3.1. North America
8.3.2. Latin America
8.3.3. Western Europe
8.3.4. Eastern Europe
8.3.5. South Asia and Pacific
8.3.6. East Asia
8.3.7. Middle East and Africa
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
9.2.1. By Country
9.2.1.1. USA
9.2.1.2. Canada
9.2.2. By Technology
9.2.3. By Deployment Mode
9.2.4. By Application
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Technology
9.3.3. By Deployment Mode
9.3.4. By Application
9.4. Key Takeaways
10. Latin America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Technology
10.2.3. By Deployment Mode
10.2.4. By Application
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Technology
10.3.3. By Deployment Mode
10.3.4. By Application
10.4. Key Takeaways
11. Western Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. UK
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Western Europe
11.2.2. By Technology
11.2.3. By Deployment Mode
11.2.4. By Application
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Technology
11.3.3. By Deployment Mode
11.3.4. By Application
11.4. Key Takeaways
12. Eastern Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
12.2.1. By Country
12.2.1.1. Poland
12.2.1.2. Russia
12.2.1.3. Czech Republic
12.2.1.4. Romania
12.2.1.5. Rest of Eastern Europe
12.2.2. By Technology
12.2.3. By Deployment Mode
12.2.4. By Application
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Technology
12.3.3. By Deployment Mode
12.3.4. By Application
12.4. Key Takeaways
13. South Asia and Pacific Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
13.2.1. By Country
13.2.1.1. India
13.2.1.2. Bangladesh
13.2.1.3. Australia
13.2.1.4. New Zealand
13.2.1.5. Rest of South Asia and Pacific
13.2.2. By Technology
13.2.3. By Deployment Mode
13.2.4. By Application
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Technology
13.3.3. By Deployment Mode
13.3.4. By Application
13.4. Key Takeaways
14. East Asia Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
14.2.1. By Country
14.2.1.1. China
14.2.1.2. Japan
14.2.1.3. South Korea
14.2.2. By Technology
14.2.3. By Deployment Mode
14.2.4. By Application
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Technology
14.3.3. By Deployment Mode
14.3.4. By Application
14.4. Key Takeaways
15. Middle East and Africa Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
15.2.1. By Country
15.2.1.1. GCC Countries
15.2.1.2. South Africa
15.2.1.3. Israel
15.2.1.4. Rest of MEA
15.2.2. By Technology
15.2.3. By Deployment Mode
15.2.4. By Application
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Technology
15.3.3. By Deployment Mode
15.3.4. By Application
15.4. Key Takeaways
16. Key Countries Market Analysis
16.1. USA
16.1.1. Market Share Analysis, 2023
16.1.1.1. By Technology
16.1.1.2. By Deployment Mode
16.1.1.3. By Application
16.2. Canada
16.2.1. Market Share Analysis, 2023
16.2.1.1. By Technology
16.2.1.2. By Deployment Mode
16.2.1.3. By Application
16.3. Brazil
16.3.1. Market Share Analysis, 2023
16.3.1.1. By Technology
16.3.1.2. By Deployment Mode
16.3.1.3. By Application
16.4. Mexico
16.4.1. Market Share Analysis, 2023
16.4.1.1. By Technology
16.4.1.2. By Deployment Mode
16.4.1.3. By Application
16.5. Germany
16.5.1. Market Share Analysis, 2023
16.5.1.1. By Technology
16.5.1.2. By Deployment Mode
16.5.1.3. By Application
16.6. UK
16.6.1. Market Share Analysis, 2023
16.6.1.1. By Technology
16.6.1.2. By Deployment Mode
16.6.1.3. By Application
16.7. France
16.7.1. Market Share Analysis, 2023
16.7.1.1. By Technology
16.7.1.2. By Deployment Mode
16.7.1.3. By Application
16.8. Spain
16.8.1. Market Share Analysis, 2023
16.8.1.1. By Technology
16.8.1.2. By Deployment Mode
16.8.1.3. By Application
16.9. Italy
16.9.1. Market Share Analysis, 2023
16.9.1.1. By Technology
16.9.1.2. By Deployment Mode
16.9.1.3. By Application
16.10. Poland
16.10.1. Market Share Analysis, 2023
16.10.1.1. By Technology
16.10.1.2. By Deployment Mode
16.10.1.3. By Application
16.11. Russia
16.11.1. Market Share Analysis, 2023
16.11.1.1. By Technology
16.11.1.2. By Deployment Mode
16.11.1.3. By Application
16.12. Czech Republic
16.12.1. Market Share Analysis, 2023
16.12.1.1. By Technology
16.12.1.2. By Deployment Mode
16.12.1.3. By Application
16.13. Romania
16.13.1. Market Share Analysis, 2023
16.13.1.1. By Technology
16.13.1.2. By Deployment Mode
16.13.1.3. By Application
16.14. India
16.14.1. Market Share Analysis, 2023
16.14.1.1. By Technology
16.14.1.2. By Deployment Mode
16.14.1.3. By Application
16.15. Bangladesh
16.15.1. Market Share Analysis, 2023
16.15.1.1. By Technology
16.15.1.2. By Deployment Mode
16.15.1.3. By Application
16.16. Australia
16.16.1. Market Share Analysis, 2023
16.16.1.1. By Technology
16.16.1.2. By Deployment Mode
16.16.1.3. By Application
16.17. New Zealand
16.17.1. Market Share Analysis, 2023
16.17.1.1. By Technology
16.17.1.2. By Deployment Mode
16.17.1.3. By Application
16.18. China
16.18.1. Market Share Analysis, 2023
16.18.1.1. By Technology
16.18.1.2. By Deployment Mode
16.18.1.3. By Application
16.19. Japan
16.19.1. Market Share Analysis, 2023
16.19.1.1. By Technology
16.19.1.2. By Deployment Mode
16.19.1.3. By Application
16.20. South Korea
16.20.1. Market Share Analysis, 2023
16.20.1.1. By Technology
16.20.1.2. By Deployment Mode
16.20.1.3. By Application
16.21. GCC Countries
16.21.1. Market Share Analysis, 2023
16.21.1.1. By Technology
16.21.1.2. By Deployment Mode
16.21.1.3. By Application
16.22. South Africa
16.22.1. Market Share Analysis, 2023
16.22.1.1. By Technology
16.22.1.2. By Deployment Mode
16.22.1.3. By Application
16.23. Israel
16.23.1. Market Share Analysis, 2023
16.23.1.1. By Technology
16.23.1.2. By Deployment Mode
16.23.1.3. By Application
17. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Technology
17.3.3. By Deployment Mode
17.3.4. By Application
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. Amazon Web Services, Inc
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. BlackRock, Inc
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. CapitalG
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. Charles Schwab & Co., Inc
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. Genpact
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. Infosys Limited
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. International Business Machines Corporation
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. IPsoft Inc
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. Microsoft
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
18.1.10. Salesforce, Inc.
18.1.10.1. Overview
18.1.10.2. Product Portfolio
18.1.10.3. Profitability by Market Segments
18.1.10.4. Sales Footprint
18.1.10.5. Strategy Overview
18.1.10.5.1. Marketing Strategy
19. Assumptions & Acronyms Used
20. Research Methodology
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