USD 8.9 billion
Report ID:
SQMIG45F2059 |
Region:
Global |
Published Date: July, 2024
Pages:
257
|Tables:
36
|Figures:
67
AI For Risk Management Market size was valued at USD 8.9 billion in 2019 and is poised to grow from USD 11.36 billion in 2023 to USD 68.5 billion by 2031, at a CAGR of 11.3% during the forecast period (2024-2031)
AI For Risk Managements are becoming popular since It has many applications such as ideation, data sourcing, model development, monitoring.AI in risk management primarily will help in identifying organizations regulatory and reputational risk.Based on current frameworks and companies organizational values, it will conduct risk assessment and use it to determine the data,company needs to collect and process.It is vital to choose the right sets of data that will influence the quality of result. That can be decided based on the previous risk management, which is suitable for AI model processing.
It will help in threat analysis and management, risk reduction, fraud detection and data classification.Mil engines can be particularly used to analyse large amounts of data from various sources that can generate real time prediction models that allow risk managers and security teams to address risk well in time.Along with providing the ability to evaluate unstructured data about risky behaviors in organizational operations, AI can also help with its algorithms to identify patterns of behavior related to past incidents and transpose them as risk predictors.However, processing huge amounts of data and enabling specialized AI services would be costlier. That will affect the growth of industry.Along with higher investment, data privacy and data protection are major concerns for the growth of the market. Therefore, encryption, transit, security, mechanization, obfuscation may be required for data companies that upload to the cloud service.
US AI For Risk Management Market is poised to grow at a sustainable CAGR for the next forecast year.
Global Market Size
USD 8.9 billion
Largest Segment
Machine Learning
Fastest Growth
Machine Learning
Growth Rate
11.3% CAGR
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Global AI For Risk Management market is segmented on the basis of offerings, vertical, By technology,and region. By Vertical, the market is segmented into BFSI, Retail, Government & Defense, Manufacturing, Enterprise, Healthcare, Automotive & Transportation, Others. By technology, the market is segmented into Machine Learning, Natural Language Processing, Context-aware computing. By offerings, the market is segmented into Hardware, services and Software. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
AI For Risk Management Market Analysis by Vertical
By Vertical, the global market is divided into many segments such as BFSI, Retail, Government & Defense, Manufacturing, Enterprise, Healthcare, Automotive & Transportation, Others. Enterprise segment held the largest global AI For Risk Management market share due to the wide range of benefits provided by AI in enterprise Risk Management.Along with Enterprise, AI has various amounts of benefits for all the industry verticals in risk management systems. In the BFSI sector , AI will enhance risk management to limit data links, thwart cyber attacks and enhance security.
AI For Risk Management Market Analysis by Technology
By Technology, the AI For Risk Management market is classified into Machine Learning, Natural Language Processing, Context-aware computing and others. The Machine Learning segment is one of the main reasons for innovation and growth across all technology industries in the AI risk management global market. It is considered a game-changer in Risk management.The rapid adoption of deep learning throughout the End use sector, there will be significant rise in machine learning technology.Machine learning platforms are gaining popularity as a tool to automate monitoring, spot outliers and sort through the massive amounts of data produced by security technology.Along with major businesses around the world are utilizing deep learning and machine learning ability to improve risk management protocol.
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Globally, North America is estimated to hold the highest global AI For Risk Management market share . Main factors during this growth period is the presence of top market players such as NVIDIA, Microsoft and others.
Among all, Asia Pacific is expected to grow fastest during the forecast period. The reason for the same is increasing acquisition of AI In Risk Management technology in bigger organizations in the region of Asia Pacific and mainly in China and Japan. Penetration of Data threats & cyberattacks in Asia Pacific has doubled in the last few years. In addition, bigger organizations and startups are investing heavily in order to provide high data security services at an affordable price to the consumers, which is likely to boost the demand for AI In Risk management in the region.
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AI For Risk Management Market Drivers
Swift Solutions to Bolster Market Growth
AI For Risk Management Market Restraints
High Privacy Concerns to Hinder Market Growth
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Competition in the global AI For Risk Management market is expected to increase during the forecast period because new players are expected to enter in the global market and the number of Softwares and services compatible with AI For Risk Management will also increase. Currently, only a few key players are providing their services in the global market but these numbers will increase in the upcoming years.
AI For Risk Management Market Top Player’s Company Profiles
AI For Risk Management Market Recent Developments
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates and Analyses the Data collected by means of Primary Exploratory Research backed by the robust Secondary Desk research.
According to our global AI For Risk Management market analysis, the global market is estimated to have significant growth during the forecast period because of the benefits it consists of such as safety from data threats , privacy risk . AI For Risk Managements will enable Software and services to be more convenient for their users. The market has so much potential for new players also because of the high expected rate of growth and demand.
Report Metric | Details |
---|---|
Market size value in 2023 | USD 8.9 billion |
Market size value in 2031 | USD 68.5 billion |
Growth Rate | 11.3% |
Forecast period | 2024-2031 |
Forecast Unit (Value) | USD Billion |
Segments covered |
|
Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Customization scope | Free report customization with purchase. Customization includes:-
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Historical Year | 2019 |
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Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
For the AI For Risk Management Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the AI For Risk Management Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the AI For Risk Management Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the AI For Risk Management Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
AI For Risk Management Market size was valued at USD 8.9 billion in 2019 and is poised to grow from USD 11.36 billion in 2023 to USD 68.5 billion by 2031, at a CAGR of 11.3% during the forecast period (2024-2031)
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Report ID: SQMIG45F2059
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