Big Data Analytics in BFSI Market by End User (Banking, Capital Market, and Insurance) and Application (Risk Management, Operations Optimization, Customer Relationship Management, and Others) - Global Opportunity Analysis and Industry Forecast, 2020-2027
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May 2020 |
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Big data in BFSI refers to large voluminous data sets that are heterogeneous in nature and generated timely in the financial services through different activities such as ATM transactions, cash transaction, online fund transfer, account opening, risk assessment, payment clearance, and other activities. The need to provide personalized services to the user and dynamic government regulatory environment generate the demand for big data analytics in the BFSI market.
The global big data analytics in BFSI market is driven by rapid growth in data due to transactions through a different mode, risk management, and customized product offerings to the clients. In addition, high need for better customer service, a broad range of financial products, and need for consumer insights related to their investment and transaction behavior fuel the market growth.
However, surge in online transaction frauds, lack of IT awareness, and data privacy & security are expected to restrict this growth. The boost in operational efficiency and transparency in business processes through big data analytics are opportunities for market development.
The big data analytics in BFSI market is segmented based on end user, application, and geography. On the basis of end user, it is divided into banking, capital market, and insurance. According to the application, the market is classified into risk management, operations optimization, customer relationship management, and others. Geographically, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
Comprehensive competitive analysis and profiles of major market players such as Accenture, Aerospike Inc., Alpine Data, BAE Systems, BigPanda, Inc., Clustrix, Datameer Inc., Gainsight, IBM Corporation, and Nimbix, Inc., are also provided in this report.
Key Benefits
- This report provides an extensive analysis of the current and emerging market trends and dynamics in the global big data analytics in BFSI market between 2016 and 2023 to identify the prevailing market opportunities.
- This study evaluates the competitive landscape and value chain to understand the competitive environment across the geographies.
- Comprehensive analysis of factors that drive and restrict the growth of the global artificial intelligence in BFSI market is provided.
- Extensive analysis of the market is conducted by following key product positioning and monitoring the top competitors within the market framework
Big Data Analytics in BFSI Market Key Segments:
By End User
- Banking
- Capital Market
- Insurance
By Application
- Risk Management
- Operations Optimization
- Customer Relationship Management
- Others
By Geography
- North America
- U.S.
- Canada
- Mexico
- Europe
- UK
- Germany
- France
- Rest of Europe
- Asia-Pacific
- India
- China
- Japan
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
CHAPTER 1 INTRODUCTION
1.1. REPORT DESCRIPTION
1.2. KEY BENEFITS
1.3. KEY MARKET SEGMENTS
1.4. RESEARCH METHODOLOGY
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools & models
CHAPTER 2 EXECUTIVE SUMMARY
2.1. CXO PERSPECTIVE
CHAPTER 3 MARKET OVERVIEW
3.1. MARKET DEFINITION AND SCOPE
3.2. KEY FINDINGS
3.2.1. Top investment pockets
3.2.2. Top winning strategies
3.3. MARKET SHARE ANALYSIS, 2016
3.4. PORTER’S FIVE FORCES ANALYSIS
3.4.1. MARKET DYNAMICS
3.4.2. Drivers
3.4.3. Restraints
3.4.4. Opportunities
CHAPTER 4 GLOBAL BIG DATA ANALYTICS IN BFSI MARKET, BY END USERS
4.1. OVERVIEW
4.1.1. Market size and forecast
4.2. BANKING
4.2.1. Key market trends
4.2.2. Growth factors and opportunities
4.2.3. Market size and forecast
4.3. CAPITAL MARKET
4.3.1. Key market trends
4.3.2. Growth factors and opportunities
4.3.3. Market size and forecast
4.4. INSURANCE
4.4.1. Key market trends
4.4.2. Growth factors and opportunities
4.4.3. Market size and forecast
CHAPTER 5 GLOBAL BIG DATA ANALYTICS IN BFSI MARKET, BY APPLICATION
5.1. OVERVIEW
5.1.1. Market size and forecast
5.2. RISK MANAGEMENT
5.2.1. Market size and forecast
5.3. OPERATIONS OPTIMIZATION
5.3.1. Market size and forecast
5.4. CUSTOMER RELATIONSHIP MANAGEMENT
5.4.1. Market size and forecast
5.5. OTHERS
5.5.1. Market size and forecast
CHAPTER 6 BIG DATA ANALYTICS IN BFSI MARKET, BY GEOGRAPHY
6.1. OVERVIEW
6.2. NORTH AMERICA
6.2.1. Key market trends
6.2.2. Key growth factors and opportunities
6.2.3. Market size and forecast, by country
6.2.3.1. U.S. market size and forecast
6.2.3.2. Canada market size and forecast
6.2.3.3. Mexico market size and forecast
6.2.4. North America big data analytics in BFSI market by end users
6.2.5. North America big data analytics in BFSI market by application
6.3. EUROPE
6.3.1. Key market trends
6.3.2. Key growth factors and opportunities
6.3.3. Market size and forecast, by country
6.3.3.1. UK market size and forecast
6.3.3.2. Germany market size and forecast
6.3.3.3. France market size and forecast
6.3.3.4. Rest of Europe market size and forecast
6.3.4. Europe big data analytics in BFSI market by end users
6.3.5. Europe big data analytics in BFSI market by application
6.4. ASIA-PACIFIC
6.4.1. Key market trends
6.4.2. Key growth factors and opportunities
6.4.3. Market size and forecast, by country
6.4.3.1. India market size and forecast
6.4.3.2. China market size and forecast
6.4.3.3. Japan market size and forecast
6.4.3.4. Rest of Asia-Pacific market size and forecast
6.4.4. Asia-Pacific big data analytics in BFSI market by end users
6.4.5. Asia-Pacific big data analytics in BFSI market by application
6.5. LAMEA
6.5.1. Key market trends
6.5.2. Key growth factors and opportunities
6.5.3. Market size and forecast, by region
6.5.3.1. Latin America market size and forecast
6.5.3.2. Middle East market size and forecast
6.5.3.3. Africa market size and forecast
6.5.4. LAMEA big data analytics in BFSI market by end users
6.5.5. LAMEA big data analytics in BFSI market by application
CHAPTER 7 COMPANY PROFILES
7.1. ACCENTURE
7.1.1. Operating business segments
7.1.2. Business performance
7.1.3. Key strategic moves and developments
7.2. AEROSPIKE INC.
7.2.1. Operating business segments
7.2.2. Business performance
7.2.3. Key strategic moves and developments
7.3. ALPINE DATA
7.3.1. Operating business segments
7.3.2. Business performance
7.3.3. Key strategic moves and developments
7.4. BAE SYSTEMS
7.4.1. Operating business segments
7.4.2. Business performance
7.4.3. Key strategic moves and developments
7.5. BIGPANDA INC.
7.5.1. Operating business segments
7.5.2. Business performance
7.5.3. Key strategic moves and developments
7.6. CLUSTRIX
7.6.1. Operating business segments
7.6.2. Business performance
7.6.3. Key strategic moves and developments
7.7. DATAMEER, INC.
7.7.1. Operating business segments
7.7.2. Business performance
7.7.3. Key strategic moves and developments
7.8. GAINSIGHT
7.8.1. Operating business segments
7.8.2. Business performance
7.8.3. Key strategic moves and developments
7.9. IBM CORPORATION
7.9.1. Operating business segments
7.9.2. Business performance
7.9.3. Key strategic moves and developments
7.10. NIMBIX INC.
7.10.1. Operating business segments
7.10.2. Business performance
7.10.3. Key strategic moves and developments
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