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 USD 8,296.10 million in 2024 to USD 3,029.16 million by 2034.
| Attributes | Details |
|---|---|
| AI Asset Management Tool Market Size, 2024 | USD 3,029.16 million |
| AI Asset Management Tool Market Size, 2034 | USD 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:
Technological Advances
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.
Robo-advising and Innovation
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.
Improvising Efficacy and Risk Management
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.
Develop In Stages and Generic Response
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.
Data safety
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.
| 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 USD 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 USD 8,296.10 million by 2034.
The AI asset management tool market can be segmented by solution, end user, and region.
| Market Size (2024) | USD 4,717.07 million |
|---|---|
| Market Value (2034) | USD 9,279.09 million |
| Market Projected CAGR (2024 to 2034) | 7% |
| Market Estimated Size in 2024 | USD 26.8 billion |
|---|---|
| Projected Market Value in 2034 | USD 44.4 billion |
| Value-based CAGR (2024 to 2034) | 5.2% |
| Market Size (2023) | USD 3,217.0 million |
|---|---|
| Market Projected Size (2033) | USD 7,851.8 million |
| Value CAGR (2023 to 2033) | 9.3% |
| Expected Market Value in 2022 | USD 4.2 Billion |
|---|---|
| Projected Market Value in 2032 | USD 11.4 Billion |
| Growth Rate (2022 to 2032) | 10.6% CAGR |
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