Intelligence artificielle mondiale sur le marché de la Fintech – Tendances et prévisions du secteur jusqu’en 2029

Analyse et taille du marché mondial de l'intelligence artificielle dans la Fintech

L'intelligence artificielle dans le domaine de la fintech permet de gérer d'énormes volumes de données pour en tirer des informations précieuses et développer une meilleure compréhension des clients et de leur comportement. Un nombre croissant d'utilisateurs finaux de petite et moyenne taille comprennent de plus en plus l'importance d'intégrer des technologies avancées aux services financiers. RapidMiner, Inc. (États-Unis), SAP SE (Allemagne), SAS Institute Inc. (États-Unis), Microsoft (États-Unis), Google, LLC (États-Unis) et Hewlett Packard Enterprise Development LP (États-Unis) sont les principaux acteurs opérant sur ce marché.

• Data Bridge Market Research analyse que la valeur du marché de l'intelligence artificielle dans la fintech, qui était de 13,14 milliards USD en 2021, devrait atteindre la valeur de 765,34 milliards USD d'ici 2029, à un TCAC de 66,20 % au cours de la période de prévision. Le « cloud » représente le segment de mode de déploiement le plus important sur le marché de l'intelligence artificielle dans la fintech en raison du nombre croissant de petites et moyennes entreprises.

Définition du marché mondial de l'intelligence artificielle dans la Fintech

D'après le nom lui-même, il est clair que la fintech ou technologie financière est l'intégration de technologies avancées telles que l'intelligence artificielle aux services financiers, ce qui contribue à protéger contre les activités frauduleuses. Le rôle de l'intelligence artificielle dans la fintech est de faciliter le fonctionnement des robo-advisors pour fournir des services de planification financière.  

Portée du rapport et segmentation du marché

Global Artificial Intelligence in Fintech Market Dynamics

This section deals with understanding the market drivers, advantages, opportunities, restraints and challenges. All of this is discussed in detail as below:

Drivers:

• Growth in investment for research and development to carve way for innovations

The rising number of strategic market collaborations has led to the rise in funds to be allocated for the growth and development of advanced and automated technology/ machinery against fraudulent activities. Further, growth in the level of investment for research and development proficiencies would carve the way for innovations in information technology. Rising integration of artificial intelligence and machine learning technologies will further prove to be a boon for the market.      

• Increased number of industries globally to induce greater demand and supply in emerging nations  

Growing number of small and medium scale enterprises all around the globe is one of the major factors fostering the growth of the market. In other words, increased number of banking, financial services, and insurance (BFSI), education, energy and utilities, government and public sector, healthcare and life sciences, manufacturing, retail and e-commerce, telecommunication, and IT industries, is directly influencing the growth rate of the market.

• Growing number of cyber-attacks to present numerous opportunities for small scale businesses

Owing to the global economic rise, there is a huge scope of growth for the information and communication technology industry. However, with the rising volume of organizational data, there is a rise in the number of cyber-criminal activities. This could hamper an organizations goodwill and manipulate the records. This will further create a good scope of growth.    

Opportunities:

• Cloud based firewalls to present many opportunities

Rising urbanization, modernization, and globalization drive market value growth. In other words, growing awareness about the benefits of cloud based firewalls among small and medium size enterprises especially in the developing economies to develop the infrastructure will present very many opportunities for the growth of the market.

Growing industrial infrastructure and prevalence of limited number of vendors offering services, increasing adoption of centralized policy management and simplified installation, and increased volume of organizational data set are other market growth determinants. Furthermore, rising proliferation of high speed internet in the developing economies will extend profitable opportunities to the market players in the forecast period of 2022 to 2029. Additionally, rising need to fortify the enterprises network against unauthorised and unprecedented strikes and rising usages of the services due to seamless scalability will further expand the future growth of the market. 

Restrictions/ challenges Global Artificial Intelligence in Fintech Market

• Increased number of regulations to limit the scope of growth in the long run

The increasing number of multiple regulatory compliance along with limited technical expertise will create hindrances for the growth of the market. Also, lack of skilled consultants to develop artificial intelligence in fintech will narrow down the scope of growth for the market. Further, suspension of business activity on account of the coronavirus pandemic will yet again create hindrances.    

• Complexities will pose a threat to the unprecedentedly growing market demand

Complexities associated with the deployment of cloud based deployment models will challenge the market growth rate. Further, penetration of cloud based deployment model is confined to large enterprises which will further derail the market growth rate.    

Also, dearth of awareness in underdeveloped regions and high costs associated with deployment will act as growth restraints for the market. Lack of strong infrastructural facilities in the backward economies and dearth of concerns towards the security will also challenge the market growth rate.

This artificial intelligence in fintech market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the artificial intelligence in fintech market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

COVID-19 Impact on Artificial Intelligence in Fintech Market

The recent outbreak of coronavirus has proven to be a boon for the market. The pandemic has led to the suspension of business activity on account of the coronavirus pandemic and has resulted in disruptions in global supply chains, border restrictions, and travel restrictions by government bodies. This has resulted in shift towards work from home culture across banks and fintech agencies. Further, rapid adoption of artificial intelligence and machine learning tools in banking organizations for performing critical jobs across the globe further created a good scope of growth for the market. Moreover, at the end of 2020, global companies witnessed rising investments in cloud solutions to facilitate easy remote working.

Recent Developments

• In April 2020,Fenergo, the provider of digital transformation, customer journey, and client lifecycle management (CLM) solutions for financial institutions, and IBM signed an original equipment manufacturing (OEM) agreement that may allow companies to collaborate on solutions that can help clients address the multitude of financial risks they face.?
• In May 2020,Sentifi AG announced the expanded alternative data-based analytics to surface investment opportunities and manage risks. Sentifi’s new analytics solution includes detection of the sector, industry outliers, ESG events with potential asset valuation impact, and investment themes trending real-time while offering investors the ability to detect outliers within their portfolios.

Global Artificial Intelligence in Fintech Market Scope

The artificial intelligence in fintech market is segmented on the basis of component, deployment mode and application. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Component

• Solutions
• Services

On the basis of components, artificial intelligence in fintech market is segmented into solutions and services. On the basis of solutions, the market is further segmented into software tools and platforms. On the basis of service, the market is further segmented into managed and professional. 

Deployment mode

• Cloud
• On-Premises

Based on deployment mode, artificial intelligence in fintech market has been segmented into cloud and on-premises.

Application

• Virtual Assistant
• Business Analytics and Reporting
• Customer Behavioural Analytics
• Others

On the basis of application, artificial intelligence in fintech market has been segmented into virtual assistant, business analytics and reporting, customer behavioural analytics and others.

Artificial Intelligence in Fintech Market Regional Analysis/Insights

The artificial intelligence in fintech market is analysed and market size insights and trends are provided by country, component, deployment mode and application as referenced above.

The countries covered in the artificial intelligence in fintech market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America is dominating the market owing to the robust presence of prominent artificial intelligence software and system suppliers, combined investment by government and private organizations for the development and growth of research and development activities while Asia-Pacific region will expect to grow in the forecast period of 2022-2029 due to the increasing advancement in technology along with rising need to prevent cybercrimes.    

The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.   

Competitive Landscape and Artificial Intelligence in Fintech Market Share Analysis

The artificial intelligence in fintech market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to artificial intelligence in fintech market.

Some of the major players operating in the artificial intelligence in fintech market are:

• BigML, Inc. (US)
• Cisco Systems, Inc. (US)
• FICO (US)
• Hewlett Packard Enterprise Development LP (US)
• RapidMiner, Inc. (US)
• SAP SE (Germany)
• SAS Institute Inc. (US)
• Microsoft (US)
• Google, LLC (US)
• Salesforce.com Inc. (US)
• IBM (US)
• Intel Corporation (US)
• Amazon Web Services, Inc. (US)
• Inbenta Technologies (US)
• IPsoft (US)
• Nuance Communications (US)
• ComplyAdvantage (UK)  

Research Methodology : Global Artificial Intelligence in Fintech Market

La collecte de données et l'analyse de l'année de base sont effectuées à l'aide de modules de collecte de données avec des échantillons de grande taille. Cette étape comprend l'obtention d'informations sur le marché ou de données connexes via diverses sources et stratégies. Elle comprend l'examen et la planification de toutes les données acquises à partir des avancées passées. Elle englobe également l'examen des incohérences d'informations observées dans différentes sources d'informations. Les données du marché sont analysées et estimées à l'aide de modèles statistiques et cohérents du marché. L'analyse des parts de marché et l'analyse des tendances clés sont également les principaux facteurs de succès du rapport de marché. Pour en savoir plus, veuillez demander un appel d'analyste ou déposer votre demande.

La méthodologie de recherche clé utilisée par l'équipe de recherche DBMR est la triangulation des données, qui implique l'exploration de données, l'analyse de l'impact des variables de données sur le marché et la validation primaire (expert du secteur). En dehors de cela, les modèles de données comprennent la grille de positionnement des fournisseurs, l'analyse de la chronologie du marché, l'aperçu et le guide du marché, la grille de positionnement des entreprises, l'analyse des brevets, l'analyse des prix, l'analyse des parts de marché des entreprises, les normes de mesure, l'analyse globale par rapport aux analyses régionales et la part des fournisseurs.

Pour en savoir plus sur la méthodologie de recherche, envoyez une demande pour parler à nos experts du secteur

https://www.databridgemarketresearch.com/fr/speak-to-analyst/?dbmr=global-ai-in-fintech-market

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