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Global AI in Fintech Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025

September 2019 | 105 pages | ID: GA373F652599EN
360iResearch

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The Global AI in Fintech Market is expected to grow from USD 2,683.68 Million in 2018 to USD 16,963.55 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 30.13%.

The positioning of the Global AI in Fintech Market vendors in FPNV Positioning Matrix are determined by 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) and placed into four quadrants (F: Forefront, P: Pathfinders, N: Niche, and V: Vital).

The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global AI in Fintech Market including are IBM Corporation, Intel Corporation, IPsoft Inc., Microsoft Corporation, Next IT Corp, Active.Ai, Amazon Web Services Inc., ComplyAdvantage.com, Data Minr Inc., Narrative Science, Onfido, Ripple Labs Inc., TIBCO Software, Trifacta Software Inc., and Zeitgold GmbH.

On the basis of Component, the Global AI in Fintech Market is studied across Services and Solutions.

On the basis of Deployment, the Global AI in Fintech Market is studied across On-Cloud and On-Premises.

On the basis of Application, the Global AI in Fintech Market is studied across Business Analytics and Reporting, Customer Behavioral Analytics, and Virtual Assistants.

For the detailed coverage of the study, the market has been geographically divided into the Americas, Asia-Pacific, and Europe, Middle East & Africa. The report provides details of qualitative and quantitative insights about the major countries in the region and taps the major regional developments in detail.

In the report, we have covered two proprietary models, the FPNV Positioning Matrix and Competitive Strategic Window. The FPNV Positioning Matrix analyses the competitive market place for the players in terms of product satisfaction and business strategy they adopt to sustain in the market. The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisitions strategies, geography expansion, research & development, new product introduction strategies to execute further business expansion and growth.

Research Methodology:

Our market forecasting is based on a market model derived from market connectivity, dynamics, and identified influential factors around which assumptions about the market are made. These assumptions are enlightened by fact-bases, put by primary and secondary research instruments, regressive analysis and an extensive connect with industry people. Market forecasting derived from in-depth understanding attained from future market spending patterns provides quantified insight to support your decision-making process. The interview is recorded, and the information gathered in put on the drawing board with the information collected through secondary research.

The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players in the Global AI in Fintech Market
2. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the Global AI in Fintech Market
3. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the Global AI in Fintech Market
4. Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the Global AI in Fintech Market
5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the Global AI in Fintech Market

The report answers questions such as:
1. What is the market size of AI in Fintech market in the Global?
2. What are the factors that affect the growth in the Global AI in Fintech Market over the forecast period?
3. What is the competitive position in the Global AI in Fintech Market?
4. Which are the best product areas to be invested in over the forecast period in the Global AI in Fintech Market?
5. What are the opportunities in the Global AI in Fintech Market?
6. What are the modes of entering the Global AI in Fintech Market?
1. PREFACE

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. RESEARCH & FORECASTING

2.1. Research Methodology
  2.1.1. Research Process
  2.1.2. Research Framework
  2.1.3. Research Reliability & Validity
  2.1.4. Research Assumptions
2.2. Forecasting Methodology
2.3. Research Outcome
  2.3.1. 360iResearch Competitive Strategic Window
    2.3.1.1. Leverage Zone
    2.3.1.2. Vantage Zone
    2.3.1.3. Speculative Zone
    2.3.1.4. Bottleneck Zone
  2.3.2. 360iResearch FPNV Positioning Matrix
    2.3.2.1. 360iResearch Quadrants
      2.3.2.1.1. Forefront
      2.3.2.1.2. Pathfinders
      2.3.2.1.3. Niche
      2.3.2.1.4. Vital
    2.3.2.2. Business Strategy
      2.3.2.2.1. Business Growth
      2.3.2.2.2. Industry Coverage
      2.3.2.2.3. Financial Viability
      2.3.2.2.4. Channel Support
    2.3.2.3. Product Satisfaction
      2.3.2.3.1. Value for Money
      2.3.2.3.2. Ease of Use
      2.3.2.3.3. Product Features
      2.3.2.3.4. Customer Support

3. EXECUTIVE SUMMARY

3.1. Outlook in the AI in Fintech Market
3.2. Opportunities in the AI in Fintech Market

4. PREMIUM INSIGHT

4.1. Market Connectivity
4.2. Market Dynamics
  4.2.1. Drivers
    4.2.1.1. Increasing demand for automation among financial organization
    4.2.1.2. Availability of huge chunk of spatial data
    4.2.1.3. Growing internet population
  4.2.2. Restraints
    4.2.2.1. Limited availability of skilled workforce to support the deployment of AI in fintech
  4.2.3. Opportunities
    4.2.3.1. Increasing mobile workforce demanding the innovation in fintech
    4.2.3.2. Increasing use of AI in the capital market
    4.2.3.3. Development of smart human-aware fintech solution
  4.2.4. Challenges
    4.2.4.1. Difficulty to pace with rapidly expanding the scope of AI in fintech solutions
4.3. Porter’s Five Forces Analysis
  4.3.1. Threat of New Entrants
  4.3.2. Threat of Substitutes
  4.3.3. Bargaining Power of Customers
  4.3.4. Bargaining Power of Suppliers
  4.3.5. Industry Rivalry
4.4. Industry Trends

5. GLOBAL AI IN FINTECH MARKET, BY COMPONENT

5.1. Overview
5.2. Market Sizing & Forecasting
5.3. Services
  5.3.1. Managed Services
  5.3.2. Professional Services
5.4. Solutions
  5.4.1. Data Discovery
  5.4.2. Data Quality & Data Governance
  5.4.3. Data Visualization

6. GLOBAL AI IN FINTECH MARKET, BY DEPLOYMENT

6.1. Overview
6.2. Market Sizing & Forecasting
6.3. On-Cloud
6.4. On-Premises

7. GLOBAL AI IN FINTECH MARKET, BY APPLICATION

7.1. Overview
7.2. Market Sizing & Forecasting
7.3. Business Analytics and Reporting
  7.3.1. Predictive Analytics
  7.3.2. Regulatory and Compliance Management
7.4. Customer Behavioral Analytics
  7.4.1. Asset and Portfolio Management
  7.4.2. Credit Scoring
  7.4.3. Debt Collection
  7.4.4. Insurance Premium
7.5. Virtual Assistants

8. GLOBAL AI IN FINTECH MARKET, BY GEOGRAPHY

8.1. Overview
8.2. Market Sizing & Forecasting
8.3. Americas
  8.3.1. Overview
  8.3.2. Market Sizing & Forecasting
  8.3.3. Argentina
  8.3.4. Brazil
  8.3.5. Canada
  8.3.6. Mexico
  8.3.7. United States
8.4. Asia-Pacific
  8.4.1. Overview
  8.4.2. Market Sizing & Forecasting
  8.4.3. Australia
  8.4.4. China
  8.4.5. India
  8.4.6. Japan
8.5. Europe, Middle East & Africa
  8.5.1. Overview
  8.5.2. Market Sizing & Forecasting
  8.5.3. France
  8.5.4. Germany
  8.5.5. Italy
  8.5.6. Spain
  8.5.7. United Kingdom

9. COMPETITIVE LANDSCAPE

9.1. 360iResearch FPNV Positioning Matrix for Global AI in Fintech Market
9.2. Market Vendor Ranking Analysis for Global AI in Fintech Market
9.3. Competitive News Feed Analysis for Global AI in Fintech Market

10. COMPANY USABILITY PROFILES

10.1. IBM Corporation
  10.1.1. Overview
  10.1.2. Strategy
  10.1.3. SWOT
10.2. IPsoft Inc.
  10.2.1. Overview
  10.2.2. Strategy
  10.2.3. SWOT
10.3. Intel Corporation
  10.3.1. Overview
  10.3.2. Strategy
  10.3.3. SWOT
10.4. Microsoft Corporation
  10.4.1. Overview
  10.4.2. Strategy
  10.4.3. SWOT
10.5. Next IT Corp
  10.5.1. Overview
  10.5.2. Strategy
  10.5.3. SWOT
10.6. Active.Ai
10.7. Amazon Web Services Inc.
10.8. ComplyAdvantage.com
10.9. Data Minr Inc.
10.10. Narrative Science
10.11. Onfido
10.12. Ripple Labs Inc.
10.13. TIBCO Software
10.14. Trifacta Software Inc.
10.15. Zeitgold GmbH

11. APPENDIX

11.1. Discussion Guide
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11.3. Author Details


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