Artificial Intelligence
Generative AI in Fintech Market Size to Exceed US$ 6.2 Bn by 2032: Report by Market.us
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New York, April 03, 2023 (GLOBE NEWSWIRE) — Market.us forecasts that the Generative AI in Fintech Market will exceed USD 6,256 million by 2032, rising from USD 865 million in 2022. Furthermore, it is anticipated to achieve a Compound Annual Growth Rate (CAGR) of 22.5% between 2023 and 2032.
The global generative AI in fintech market was worth USD 865 million in 2022. The use of generative AI is primarily surged by credit card fraud detection. Using Generative Adversarial Network, AI can spot the difference between hacked data and real data in every transaction and send alerts to the banks. The biggest challenge faced by the majority of fintech companies with generative artificial intelligence is the sensitive issue of data security and privacy. The fintech industry is governed by strict rules and regulations since any security and data breach failure could be destructive.
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Key Takeaway:
- By component, the software segment held a dominating revenue share in 2022.
- By deployment, the on-premises category had the highest revenue share in 2022.
- By application, the compliance & fraud detection segment held the largest share in 2022.
- North America held a revenue share of approximately 37% in 2022
- Asia Pacific market is expected to record the fastest-growing CAGR during the forecast period.
Generative AI has boosted the tech industry by permitting companies to automate complicated processes. The major reason for the evolution of machine learning is cost reduction, reduced human errors, improved customer experience, and improved efficiency.
Factors affecting the growth of Generative AI in Fintech Market
Several factors can affect the growth of generative AI in fintech market. Some of these factors include:
- Cost-effectiveness: Generative AI in fintech allows companies to reduce their cost by automating their processes and cutting down the possibilities of errors usually made by humans. Generative AI is empowering small finance companies as it is affordable and has fewer chances of error occurrence. This is a big plus for the development of the market.
- Improved work efficiency: Generative AI not just helps in reducing costs but also in reducing working time, with fewer human interventions. This saves time, which is the most important for all types of fintech companies, as it also saves costs in the long term.
- Technological advancements: New technology such as robo-advisors keep surveillance on the stocks, events, price trends, and bonds according to users’ needs which helps them make suggestions and decisions regarding the stock about to be bought or sold. These technological advancements drive the adoption of generative AI in Fintech market.
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Top Trends in Global Generative AI in Fintech Market
The growing popularity of generative AI in fintech assists chatbots in holding efficient conversations and boosting customer satisfaction, leading to market growth. The growing perception of generative AI in the fintech industry for synthetic data generation, fraud detection, trading prediction, and risk factor modeling drives market growth. The significant growth in the IT sector with increasing usage of generative artificial intelligence integrated systems over various verticals for increasing productivity and sharpness is primarily propelling the global generative AI in fintech market.
Market Growth
Multiple companies use generative AI Chatbots as customer assistants for sales, online chat executives, and customer care executives. The significant details about cash flow and expenses are gaining momentum from the end user as this helps industries to reduce their expenses. This also saves time compared to when humans did it. This is a major factor impacting the market growth positively.
Regional Analysis
North America leads the generative AI in fintech market by accounting for a major revenue share of 37%. The growth of the North American region is due to many startups and key players offering generative AI services to financial services. The increasing adoption of generative AI in fintech by various businesses in the region is driving the growth of generative AI in fintech market in the North American region. The major applications include business analytics & reporting, virtual assistant, and customer behavioral analytics.
Asia Pacific is anticipated to grow at the fastest CAGR during the forecast period. The growth of the Asia Pacific region is attributed to the rising demand for generative AI-based solutions in the region. In addition, many businesses are adopting generative AI in fintech, fueling the growth of generative AI in the business market of the region.
Competitive Landscape
The competitive landscape of the market has also been examined in this report. The generative AI in fintech market is fragmented into many companies. Key players in the generative AI in fintech market are focusing on different strategies to expand their market share across various regions. Strategies like collaboration, partnership, merging, and acquisition are adopted by the companies. Some of the major players include Open AI, Microsoft Corporation, Google LLC, Genie AI Ltd., IBM Corporation, MOSTLY AI Inc., Veesual AI, Adobe Inc., Synthesis AI, Paige.AI, Rephrase.ai, and Other Key Players.
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Scope of the Report
| Report Attribute | Details |
| Market Value (2022) | USD 865 million |
| Market Size (2032) | USD 6,256 million |
| CAGR (from 2023 to 2032) | 22.5% from 2023 to 2032 |
| North America Revenue Share | 37% |
| Historic Period | 2016 to 2022 |
| Base Year | 2022 |
| Forecast Year | 2023 to 2032 |
Market Drivers
The Generative Artificial Intelligence (AI) in fintech will allow companies to reduce their cost to automate their processes and cut down the possibilities of error. Generative AI empowers small finance companies as it is affordable and has fewer chances of error occurrence. Multiple companies use generative AI Chatbots as customer assistants for sales, online chat executives, and customer care executives. The essential details about cash flow and expenses are gaining momentum from the end user as this helps industries to reduce their costs.
Market Restraints
Loan decisions constructed data generated by generative artificial intelligence is hard to audit, which may hurt loan decisions. In addition, rules and regulations are continuously improvising; generative AI cannot examine and process the proper regulatory environment. Finally, Generative AI won’t be able to train the trading algorithm, as markets are highly unpredictable.
Market Opportunities
Advanced technology such as robo-advisors keeps surveillance on the stocks, events, price trends, and bonds according to the user’s needs. This helps them make suggestions and decisions regarding the stock about to be bought or sold. It plays a crucial role in risk management, network security access to big data, speech recognition, etc. These technological developments will create a new opportunity for generative AI in fintech market.
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Report Segmentation of the Generative AI in Fintech Market
Component Insight
Based on components, the market is divided into software and services. The software segment recorded the largest revenue share in 2022 and is expected to dominate the market over the forecast period. The growth of the software segment can be registered to factors like growing false activities, unexpected outcomes, overestimation of capabilities, and rising concerns about data privacy.
Deployment Insight
Based on deployment on-premises segment has dominated the generative AI in fintech market. However, the cloud deployment model is expected to grow significantly during the forecast period. Generative AI is developing, and its influence may be significant during the forecasted period. With the adoption of generative AI in the finance sector, many startups are competing with major players. Exponential growth is expected in the fintech industry with the development of technologies, such as cybersecurity and blockchain, with generative AI.
Application Insight
The compliance & fraud detection segment held the largest share, followed by business analytics & reporting in the market in 2022. Generative AI is used to find the relation between global events and their impact on prices using predictive analysis. Generative AI in financial services is essential to protect the details of customers. Generative AI plays a crucial role in assessing algorithms from fraudulent cases. It is also used to advise accurate results. P2P organization analyzes its potential customer’s behavior and calculates all the risks in the cooperation with the customer. The generative AI also analyses consumers’ details that don’t have a previous credit history. These applications are the major driver of the adoption of generative AI in the fintech sector
End-Use Insight
Based on End-Use, retail and banking firms use generative AI for models to train know-your-customer (KYC) processes at the time of account opening. The technology will efficiently search through non-numerical loan application data such as business plans. Generative AI will accelerate back-office tasks, such as answering performance questions in real time. It can help with situation analysis under multiple economic conditions. For example, investment banking will generate a stress-test situation for illiquid financial products to inform the proper accordance measures and reduce cost. Generative AI will stimulate multiple client needs and economic situations so financial advisors can give situation-specific financial recommendations.
For more insights on the historical and Forecast market data from 2016 to 2032 – download a sample report at https://market.us/report/generative-ai-in-fintech-market/request-sample/
Market Segmentation
Based on Component
- Service
- Software
Based on Deployment
- On-Premises
- Cloud
Based on Application
- Credit Scoring
- Compliance & Fraud Detection
- Personal Assistants
- Asset Management
- Predictive Analysis
- Insurance
- Debt Collection
- Business Analytics & Reporting
- Customer Behavioral Analytics
Based on End-Use Industry
- Retail Banking
- Investment Banking
- Stock Trading Firms
- Hedge Funds
- Other Industries
By Geography
- North America
- The US
- Canada
- Mexico
- Western Europe
- Germany
- France
- The UK
- Spain
- Italy
- Portugal
- Ireland
- Austria
- Switzerland
- Benelux
- Nordic
- Rest of Western Europe
- Eastern Europe
- Russia
- Poland
- The Czech Republic
- Greece
- Rest of Eastern Europe
- APAC
- China
- Japan
- South Korea
- India
- Australia & New Zealand
- Indonesia
- Malaysia
- Philippines
- Singapore
- Thailand
- Vietnam
- Rest of APAC
- Latin America
- Brazil
- Colombia
- Chile
- Argentina
- Costa Rica
- Rest of Latin America
- Middle East & Africa
- Algeria
- Egypt
- Israel
- Kuwait
- Nigeria
- Saudi Arabia
- South Africa
- Turkey
- United Arab Emirates
- Rest of MEA
Market Key Players:
- Open AI
- Microsoft Corporation
- Google LLC
- Genie AI Ltd.
- IBM Corporation
- MOSTLY AI Inc.
- Veesual AI
- Adobe Inc.
- Synthesis AI
- Other Key Players
Recent Development of the Generative AI in Fintech Market
- June 2022, a developer of AI-driven Anti-Money Laundering (AML) software has partnered with fraud management company SEON to include real-time fraud prevention capabilities in AML compliance software. To include real-time fraud prevention solutions, SEON will be available through Licinuity’s platform, providing customers with compliance risk services from transaction monitoring to real-time fraud detection and prevention.
- April 2022 – Cross River and Sardine have partnered to build critical risk and payments infrastructure for Fintech, Web3, and Crypto companies. Sardine will leverage Cross River’s payments platform as part of its integrated fraud prevention software for fiat and crypto transactions.
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Artificial Intelligence
Complyport’s new AI tool – ViCA.Chat – set to revolutionise compliance support services
LONDON, June 14, 2024 /PRNewswire/ — ViCA.Chat, the Virtual Compliance Assistant powered by AI technology, is set to transform regulatory compliance consulting. Developed by ComplyMAP Group’s AI engineers and Complyport’s compliance consulting teams, ViCA redefines compliance support services and propels governance, risk and compliance consulting into a new era of innovation.
Offering real-time assistance across a vast array of UK and EU regulatory frameworks, ViCA delivers unparalleled efficiency, detail and precision in disentangling and dealing with complicated regulatory frameworks.
The key differentiator of ViCA is its specialised and purposely constructed unique databases that leverage Complyport’s 22 years of regulatory expertise, combined with tailored AI training tools, enabling ViCA to operate as an experienced compliance consultant. A dedicated human support team continuously improves and updates ViCA’s knowledge and responses through a feedback loop process and quality assurance sessions. This powerful symbiosis of AI and human expertise sets ViCA apart and ensures businesses have the latest regulatory information instantaneously and seamlessly.
As a result, ViCA’s specialised regulatory database goes beyond readily available online resources which feature into traditional AI tools. ViCA offers exclusive insights, proprietary regulatory interpretations, historical data, bespoke and purposely structured compliance documentation and templates. With advanced scraping capabilities, ViCA also extracts relevant data from selected websites and publicly available information, ensuring an up-to-date and comprehensive understanding of compliance requirements across industries.
From agile fintech startups to established law firms, financial institutions, regulatory bodies, insurance providers, as well as compliance consultants, ViCA seamlessly adapts to unique compliance needs. Its user-friendly interface ensures navigating and analysing regulatory data is swift and intuitive, streamlining the compliance workflow.
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Visit ViCA.Chat to experience the future of compliance support.
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Artificial Intelligence
LoRa and LoRaWAN IoT Market worth $32.7 billion by 2029- Exclusive Report by MarketsandMarkets™
CHICAGO, June 14, 2024 /PRNewswire/ — The LoRa and LoRaWAN IoT Market is expected to reach USD 32.7 billion by 2029 from USD 8.0 billion in 2024, at a Compound Annual Growth Rate (CAGR) of 32.4 % during 2024–2029, according to a new report by MarketsandMarkets™.
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320 – Tables 58 – Figures294 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2018-2029
Base year considered
2023
Forecast period
2024–2029
Forecast units
Value (USD Billion)
Segments Covered
Offering, Network Deployment, Application, End User, and Region
Region covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America.
List of Companies in LoRa and LoRaWAN IoT
The Bosch Group (Germany), Cisco (US), Orange SA (France), Comcast Corporation (US), Semtech (US), NEC Corporation(Japan), Tata Communications (India), AWS (US), Advantech (Taiwan), SK Telecom (South Korea), Murata (Japan), Kerlink (France), Actility (France), Digi International (US), MultiTech (US), Ezurio (US), Sensoterra (Netherlands), Nwave Technologies (US), RAKwireless (China), TheThings.io (Spain), Datacake (Germany), Milesight (China), LORIOT (Switzerland), Exosite (US), Orbiwise (Switzerland), Netmore Group (Sweden), and Radio Bridge Inc (US).
The LoRaWAN ecosystem influences development of tools, software libraries, and cloud-based platforms that streamline the creation, deployment, and management of IoT solutions. Continuously evolving, this ecosystem boasts a burgeoning array of vendors providing LoRa-compliant devices, gateways, and network management solutions. This vibrant competition within the ecosystem propels innovation while driving down costs for end-users. Moreover, the development of interoperable solutions fosters seamless integration and deployment of LoRaWAN networks, simplifying the implementation process for businesses and organizations. As the ecosystem continues to expand and mature, it empowers developers, system integrators, and IoT enthusiasts to unleash their creativity, accelerate time-to-market, and unlock the full potential of LoRaWAN technology in diverse applications and industries.
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Based on network deployment, the public network segment to hold the largest market size during the forecast period.
The robust security features integrated into public LoRaWAN networks play a significant role in driving the growth and adoption of LoRaWAN technology in the market. End-to-end encryption ensures that data transmitted between devices and gateways is protected from unauthorized access or interception, safeguarding sensitive information such as sensor readings, location data, and command messages. Message integrity checks verify the integrity of data packets, detecting any tampering or alteration during transmission and ensuring data authenticity and reliability. Additionally, mutual authentication mechanisms establish trust between devices and gateways, verifying the identity of both parties before allowing communication to occur. These security measures provide organizations and end-users with confidence in the integrity and confidentiality of their data, mitigating concerns related to data privacy, cybersecurity threats, and regulatory compliance. As a result, implementing robust security features in public LoRaWAN networks enhances trust and credibility in the technology, driving increased adoption and market growth as organizations seek reliable and secure connectivity solutions for their IoT deployments.
By offering, the services segment is expected to hold a higher growth rate during the forecast period.
IoT service providers are pivotal in driving adoption by developing vertical-specific solutions finely tuned to the distinct needs of industries like agriculture, healthcare, logistics, and smart cities. In agriculture, for instance, IoT services offer solutions for precision farming, crop monitoring, and livestock management, enabling farmers to optimize irrigation, monitor soil health, and enhance yields. Similarly, IoT services facilitate remote patient monitoring, asset tracking, and inventory management in healthcare, improving patient care, reducing costs, and ensuring compliance with regulatory standards such as HIPAA. In logistics, IoT services provide real-time tracking of shipments, fleet management, and predictive maintenance, enhancing supply chain visibility, efficiency, and reliability. For smart cities, IoT services offer solutions for traffic management, waste management, energy optimization, and public safety, transforming urban infrastructure and enhancing the quality of life for residents. By addressing industry-specific challenges, compliance requirements, and use cases, vertical-specific IoT solutions deliver tangible business value, driving adoption and fueling the growth of the IoT services market across diverse sectors.
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Asia Pacific is expected to hold a higher growth rate during the forecast period.
In the Asia Pacific region, where agriculture serves as a cornerstone of many economies, adopting IoT technologies, particularly LoRa and LoRaWAN, is revolutionizing traditional farming practices. LoRaWAN’s long-range connectivity and low-power consumption make it well-suited for deployment in rural agricultural settings, where access to reliable connectivity may be limited. Through LoRa-based IoT solutions, farmers can implement precision agriculture techniques to address pressing challenges such as water scarcity, soil degradation, and unpredictable weather patterns. LoRa-enabled sensors facilitate real-time monitoring of soil moisture levels, temperature, and humidity, allowing farmers to optimize irrigation schedules and conserve water resources. Remote sensing technologies powered by LoRaWAN enable farmers to gather actionable insights on crop health, pest infestations, and nutrient deficiencies, facilitating timely interventions and improving overall crop management practices. Furthermore, LoRa-based crop analytics platforms provide farmers with data-driven decision support tools, helping them optimize planting strategies, improve yield forecasting, and mitigate the impact of climate change on agricultural productivity. By harnessing the power of LoRa and LoRaWAN IoT solutions, farmers in the Asia Pacific region can increase yields, conserve resources, and enhance resilience to environmental challenges, driving the adoption and growth of the LoRaWAN IoT market in the agricultural sector.
Top Key Companies in LoRa and LoRaWAN IoT Market:
The major vendors covered in the LoRa and LoRaWAN IoT Market are The Bosch Group (Germany), Cisco (US), Orange SA (France), Comcast Corporation (US), Semtech (US), NEC Corporation(Japan), Tata Communications (India), AWS (US), Advantech (Taiwan), SK Telecom (South Korea), Murata (Japan), Kerlink (France), Actility (France), Digi International (US), MultiTech (US), Ezurio (US), Sensoterra (Netherlands), Nwave Technologies (US), RAKwireless (China), TheThings.io (Spain), Datacake (Germany), Milesight (China), LORIOT (Switzerland), Exosite (US), Orbiwise (Switzerland), Netmore Group (Sweden), and Radio Bridge Inc (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their footprint in the LoRa and LoRaWAN IoT Market.
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Artificial Intelligence
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