Artificial Intelligence in Fintech Market Research Report by Components, Application, Deployment, Region – Global Forecast to 2027
The size of the global Artificial Intelligence in Fintech market was estimated at USD 28.91 billion in 2021 and expected to reach USD 33.84 billion in 2022, and is projected to grow at a CAGR of 17.
New York, Oct. 17, 2022 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Artificial Intelligence in Fintech Market Research Report by Components, Application, Deployment, Region – Global Forecast to 2027 – Cumulative Impact of COVID- 19” –
32% to reach USD 75.40 billion by 2027.
Market statistics:
The report provides market sizing and forecasting for 7 major currencies – USD, EUR, JPY, GBP, AUD, CAD and CHF. It helps organizational leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and the years from 2023 to 2027 are considered as the forecast period.
Market segmentation and coverage:
This research report categorizes Artificial Intelligence in Fintech to forecast the revenue and analyze the trends in each of the following submarkets:
Based on components, the market was studied across services and solutions. The services are further studied across managed and professional.
Based on application, the market was studied across Business Analytics & Reporting, Customer Behavioral Analytics, Fraud Detection, Quantitative & Asset Management and Virtual Assistant.
Based on Deployment, the market was studied across Cloud and On-Premise.
Based on region, the market was studied across the Americas, Asia-Pacific and Europe, Middle East and Africa. The Americas are further studied over Argentina, Brazil, Canada, Mexico and the USA. The United States is further studied over California, Florida, Illinois, New York, Ohio, Pennsylvania and Texas. Asia Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand and Vietnam. Europe, the Middle East and Africa are further studied in Denmark, Egypt, Finland, France, Germany, Israel, Italy, the Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, The United Arab Emirates and the United Kingdom.
Cumulative impact of covid-19:
COVID-19 is an unparalleled global public health situation that has affected almost every industry, and the long-term effects are estimated to affect industry growth during the forecast period. Our ongoing research reinforces our research framework to ensure inclusion of underlying COVID-19 issues and potential ways forward. The report provides insights on COVID-19 in terms of the changes in consumer behavior and demand, purchasing patterns, supply chain rerouting, the dynamics of current market forces and the significant interventions by governments. The updated study provides insights, analysis, estimates and forecasts, considering the COVID-19 impact on the market.
Cumulative impact of Russia Ukraine conflict in 2022:
We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Adverse impacts are significantly predicted globally, particularly in Eastern Europe, the EU, East and Central Asia and the United States. This allegation has seriously affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and insecurity in Eastern Europe are expected to have a negative impact on the world economy, with particularly long-term, harsh effects on Russia. This report uncovers the impact of demand and supply, price variations, strategic uptake of vendors, and recommendations for artificial intelligence in the Fintech market considering the current update on the conflict and its global response.
Competitive Strategic Window:
The Competitive Strategic Window analyzes the competitive landscape in terms of markets, applications and geographies to help the supplier define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the suppliers to adopt successive merger and acquisition strategies, geographical expansion, research and development, and new product introduction strategies to effect further business expansion and growth during a forecast period.
FPNV positioning matrix:
The FPNV Positioning Matrix evaluates and categorizes the AI vendors in the Fintech market based on business strategy (business growth, industry coverage, financial viability and channel support) and product satisfaction (value for money, ease of use, product features and Customer Support) which helps companies make better decisions and understand the competitive landscape.
Market share analysis:
The market share analysis offers analysis of suppliers that assess their contribution to the overall market. It gives the idea of revenue generation in the overall market compared to other vendors in the space. It provides insight into how suppliers perform in terms of revenue generation and customer base compared to others. Knowing market shares gives an idea of the size and competitiveness of the suppliers for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance and merger characteristics.
Competition scenario:
The competitive scenario provides an outlook analysis of the various business growth strategies used by the suppliers. The news covered in this section delivers valuable insights at various stages, while staying up-to-date with the business and engaging stakeholders in the economic debate. The competition scenario represents press releases or news about the companies categorized into Merger and Acquisition, Agreement, Collaboration and Partnership, Launch and Improvement of New Products, Investment and Financing and Award, Recognition and Expansion. All the news collected helps the supplier to understand the gaps in the market and the competitor’s strength and weakness, thus providing insights to improve products and services.
Company Usability Profiles:
The report thoroughly examines the recent significant developments of the leading vendors and innovation profiles in the global Artificial Intelligence in Fintech market, including Active Intelligence Pte Ltd., Affirm, Inc., Amazon Web Services Inc., Cape Analytics Inc., CognitiveScale Inc., ComplyAdvantage Company, Core Scientific, Inc., Felicis Ventures Company, Google LLC, HighRadius Corporation, Inbenta Holdings Inc., Intel Corporation, International Business Machines Corporation, IPsoft, Inc., Microsoft Corporation, MindBridge Analytics Inc., Nuance Communications, Inc. ., Numerai Company, Oracle Corporation, Salesforce, Inc., TABLEAU SOFTWARE, LLC and Upstart Network, Inc..
The report provides insight into the following points:
1. Market Penetration: Provides comprehensive information about the market offered by the key players
2. Market Development: Provides in-depth information on lucrative emerging markets and analyzes penetration across mature segments of the markets
3. Market Diversification: Provides detailed information on new product launches, untapped geographies, recent developments and investments
4. Competitive Assessment and Intelligence: Provides an exhaustive assessment of the market shares, strategies, products, certification, regulatory approvals, patent landscape and manufacturing capabilities of the leading players
5. Product development and innovation: Provides intelligent insight into future technologies, R&D activities and ground-breaking product development
The report answers questions such as:
1. What Is the Market Size and Forecast of the Global Artificial Intelligence in Fintech Market?
2. What are the restraining factors and impact of COVID-19 shaping the global Artificial Intelligence in Fintech market during the forecast period?
3. Which products/segments/applications/areas should be invested in over the forecast period in the global artificial intelligence in Fintech market?
4. What is the competitive strategic window of opportunity in the global artificial intelligence in fintech market?
5. What are the technology trends and regulatory frameworks in the global artificial intelligence in Fintech market?
6. What is the market share of the leading vendors in the global Artificial Intelligence in Fintech market?
7. What modes and strategic moves are considered appropriate to enter the Global Artificial Intelligence in Fintech market?
Read the full report:
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