Asia Pacific IoT in BFSI Market –Industry Analysis and Forecast (2019-2026) – By Geography (China, Japan, India, South Korea, Australia, Others)

Asia Pacific IoT in BFSI Market size is expected to reach nearly US$ 116.2 Bn. by 2026 with the CAGR of 28.6% during the forecast period. The report includes the analysis of impact of COVID-19 lock-down on the revenue of market leaders, followers, and disrupters. Since lock down was implemented differently in different regions and countries, impact of same is also different by regions and segments. The report has covered the current short term and long term impact on the market, same will help decision makers to prepare the outline for short term and long term strategies for companies by region. To know about the Research Methodology :- Request Free Sample Report The Asia Pacific IoT in BFSI Market is segmented by is segmented by Component (Security, Customer Experience Management, Monitoring, Data Management, Others), End-user (Banking, Insurance, Others), Organization Size (Small and Medium Sized Enterprises, Large Enterprises), and by Region (China, Japan, India, South Korea, Australia, Others). Maximize Market Research, a global market research firm with a dedicated team of specialists and data has carried out extensive research about the current Asia Pacific IoT in BFSI Market outlook. The report encompasses the Asia Pacific IoT in BFSI Market by different segments and region, providing the in-depth analysis of overall industry ecosystem, useful for taking an informed strategic decision by the key stakeholders in the industry. Importantly, the report delivers forecasts and share of the market, further giving an insight into the market dynamics, and future opportunities that might exist in the Asia Pacific IoT in BFSI Market. The driving forces, as well as considerable restraints, have been explained in depth. In addition to this, competitive landscape describing the strategic growth of the competitors have been taken into consideration for enhancing the market know-how of our clients and at the same time explain the market positioning of competitors. Innovative technologies in the financial sector are gradually revolutionizing the banking system. The conventional banking scene is shifting in the coming years. Security features, such as the advanced biometrics and cryptography, has further aided in securing against bank frauds, and the remote applications make it simpler to perform the banking necessities without even reaching a branch. IoT has the power to impact traditional business processes in banking that include KYC, lending, collateral management, trade finance, and insurance among others. Coupled with other advanced & upcoming technologies, like digital identity and smart contacts, IoT help in creating new P2P business models to disrupt banking in a few areas. While advanced IoT in banking at large is still more in a planning stage, there remains ample scope for innovations. Starting from an increase in revenues to enhanced customer services, banks bring out new and better innovations. The major driving forces of the Asia Pacific IoT in BFSI Market include the increasing use of IoT devices for connected banking, merging of operational and information technology. Increasing global investments in IoT together with a focus on services with real-time data flow are a few key growth opportunities in the market. The large enterprise's segment is expected to hold a larger share in the Europe IoT in BFSI market, as large financial enterprises need IoT services to ensure the even functioning of their business operations along with reducing the operational costs and enhancing the customer satisfaction. China, India, and Japan among others are expected to hold some of the largest market sizes in the Asia Pacific IoT in BFSI Market during the forecast period. Factors such as dynamic adoption of new technologies, and aggressive initiatives to expand the IoT ecosystem, have led the commercial users to adopt the cutting-edge technology in the APAC region. One such example is the Westpac, one of the leading financial services providers in Australia, launched PayWear that is a wearable offering allowing customers to make tap-and-go payments on contactless stations. The objective of the report is to present comprehensive Asia Pacific IoT in BFSI Market  including all the stakeholders of the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with analysis of complicated data in simple language. The report covers all the aspects of industry with dedicated study of key players that includes market leaders, followers and new entrants by region. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors by region on the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give clear futuristic view of the industry to the decision makers. The report also helps in understanding Asia Pacific IoT in BFSI Market  North America for Asia Pacific dynamics, structure by analyzing the market segments, and project the Asia Pacific IoT in BFSI Market  North America for Asia Pacific   size. Clear representation of competitive analysis of key players by type, price, financial position, product portfolio, growth strategies, and regional presence in the Asia Pacific IoT in BFSI Market  North America for Asia Pacific make the report investor’s guide.

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Asia Pacific IoT in BFSI Market,Component

o Security o Customer Experience Management o Monitoring o Data Management o Others

Asia Pacific IoT in BFSI Market, End User

o Banking o Insurance o Others

Asia Pacific IoT in BFSI Market,Organization Size

o Small and Medium Sized Enterprises o Large Enterprises

Key Players operating in Asia Pacific IoT in BFSI Market:

• Fujitsu • DXTR Labs • Vai Kai • iYouth Lab • Mirai Mobile Technologies • EZ-Robot Inc • MUV Interactive • EZ-Robot Inc • MUV Interactive • Active.Ai • Huawei • Worldline • IBM • Fintech • Accel Frontline Limited
1. INTRODUCTION 1.1. Market description & Scope (2016-2024) 1.2. Objectives 1.2.1. Key Takeaways 1.2.2. Abbreviations & Acronyms 2. RESEARCH METHODOLOGY 2.1. Methods used for market forecasting 2.2. Data Sources 2.2.1. Paid Databases 2.2.2. Primary Sources 2.2.3. Secondary Sources 3. EXECUTIVE SUMMARY 3.1. Major Findings 3.1.1. Key Segment Trends 3.1.1.1. Component 3.1.1.2. End-user 3.1.1.3. Organization Size 3.1.2. Key Regional Trends 3.2. Key Companies and their Strategies 4. MARKET OVERVIEW 4.1. IoT in BFSI (Internet of Things) Concept & Definition 4.2. Segments Overview 4.2.1. By Component 4.2.1.1. Security 4.2.1.2. Customer Experience Management 4.2.1.3. Monitoring 4.2.1.4. Data Management 4.2.1.5. Others 4.2.2. By End-user 4.2.2.1. Banking 4.2.2.2. Insurance 4.2.2.3. Others 4.2.3. By Organization Size 4.2.3.1. Small and Medium Sized Enterprises 4.2.3.2. Large Enterprises 4.3. Market Dynamics 4.3.1. Drivers 4.3.2. Restraints 4.3.3. Opportunities 4.4. Porter’s Analysis 4.5. PESTLE Analysis 4.6. Fragmentation 4.6.1. Key strategic Alliances of companies (inorganic & organic) 4.6.2. Company Market Share (Top 10 Players) 4.6.3. Comparative Analysis of Key players in IoT in BFSI 4.7. Key Trends 5. ASIA PACIFIC IOT COMPONENT ESTIMATES & TREND ANALYSIS (2016 – 2024) 5.1. Asia Pacific IoT in BFSI Market: Component Analysis 5.1.1. Customer Experience Management 5.1.1.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 5.1.2. Security 5.1.2.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 5.1.3. Monitoring 5.1.3.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 5.1.4. Data Management 5.1.4.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 5.1.5. Others 5.1.5.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 5.2. Asia Pacific IoT in BFSI Market: Component Trends 6. ASIA PACIFIC IOT IN BFSI END USER ESTIMATES & TREND ANALYSIS (2016 – 2024) 6.1. Asia Pacific IoT in BFSI Market: End User Analysis 6.1.1. Banking 6.1.1.1. Market Share and growth forecasts,2016 – 2024 (USD Billion) 6.1.2. Insurance 6.1.2.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 6.1.3. Others 6.1.3.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 6.2. Asia Pacific IoT in BFSI Market: End User Trends 7. ASIA PACIFIC IOT IN BFSI ORGANIZATION SIZE ESTIMATES & TREND ANALYSIS (2016 – 2024) 7.1. Asia Pacific IoT in BFSI Market: Organization Size Analysis 7.1.1. Small and Medium Sized Enterprises 7.1.1.1. Market Share and growth forecasts,2016 – 2024 (USD Billion) 7.1.2. Large Enterprises 7.1.2.1. Market Share and growth forecasts, 2016 – 2024 (USD Billion) 7.2. Asia Pacific IoT in BFSI Market: Organization Size Trends 8. REGIONAL ESTIMATES & TREND ANALYSIS (2016 – 2024) 8.1. Asia Pacific IoT in BFSI market share by Region, 2016 & 2025 8.2. Asia Pacific 8.2.1. Asia Pacific IoT in BFSI market, Market Share and growth forecasts, 2016 – 2024 (USD Billion) 8.2.2. IoT in BFSI Drivers for Asia Pacific Market 8.2.3. Market Share Analysis and Growth Forecast, by Country 8.2.3.1. China 8.2.3.2. Japan 8.2.3.3. India 8.2.3.4. South Korea 8.2.3.5. Australia 8.2.3.6. Others 8.2.4. Country-wise GDP Growth Forecast 8.2.5. IoT in BFSI Trends In Asia Pacific Market 9. MARKET SHARE ANALYSIS 9.1. Key Players Regional Market share Analysis 9.1.1. China 9.1.2. Japan 9.1.3. India 9.1.4. South Korea 9.1.5. Australia 9.1.6. Others 10. MARKET COMPETITION ANALYSIS 10.1. Strategy Framework 10.2. Consolidation 10.2.1. Patent Analysis 10.2.2. Mergers & Acquisitions 10.2.2.1. Product Based 10.2.2.2. Services Based 10.2.2.3. Region Based 10.2.2.4. List of Mergers & Acquisitions 10.2.3. Company Benchmarking (Revenue & Profit Based) 10.2.4. Strategic Assessment of Company Consolidations 10.2.5. Emerging Business Models 10.3. Company Profiles 10.3.1. Fujitsu 10.3.1.1. Company overview 10.3.1.2. Key financials 10.3.1.3. Geographical presence 10.3.1.4. Product and Business Segments 10.3.1.5. Strategic initiatives 10.3.1.6. SWOT analysis 10.3.1.7. Competitive positioning and landscape 10.3.2. DXTR Labs 10.3.2.1. Company overview 10.3.2.2. Key financials 10.3.2.3. Geographical presence 10.3.2.4. Product and Business Segments 10.3.2.5. Strategic initiatives 10.3.2.6. SWOT analysis 10.3.2.7. Competitive positioning and landscape 10.3.3. Vai Kai 10.3.3.1. Company overview 10.3.3.2. Key financials 10.3.3.3. Geographical presence 10.3.3.4. Product and Business Segments 10.3.3.5. Strategic initiatives 10.3.3.6. SWOT analysis 10.3.3.7. Competitive positioning and landscape 10.3.4. iYouth Lab 10.3.4.1. Company overview 10.3.4.2. Key financials 10.3.4.3. Geographical presence 10.3.4.4. Product and Business Segments 10.3.4.5. Strategic initiatives 10.3.4.6. SWOT analysis 10.3.4.7. Competitive positioning and landscape 10.3.5. Mirai Mobile Technologies 10.3.5.1. Company overview 10.3.5.2. Key financials 10.3.5.3. Geographical presence 10.3.5.4. Product and Business Segments 10.3.5.5. Strategic initiatives 10.3.5.6. SWOT analysis 10.3.5.7. Competitive positioning and landscape 10.3.6. EZ-Robot Inc 10.3.6.1. Company overview 10.3.6.2. Key financials 10.3.6.3. Geographical presence 10.3.6.4. Product and Business Segments 10.3.6.5. Strategic initiatives 10.3.6.6. SWOT analysis 10.3.6.7. Competitive positioning and landscape 10.3.7. MUV Interactive 10.3.7.1. Company overview 10.3.7.2. Key financials 10.3.7.3. Geographical presence 10.3.7.4. Product and Business Segments 10.3.7.5. Strategic initiatives 10.3.7.6. SWOT analysis 10.3.7.7. Competitive positioning and landscape 10.3.8. EZ-Robot Inc 10.3.8.1. Company overview 10.3.8.2. Key financials 10.3.8.3. Geographical presence 10.3.8.4. Product and Business Segments 10.3.8.5. Strategic initiatives 10.3.8.6. SWOT analysis 10.3.8.7. Competitive positioning and landscape 10.3.9. MUV Interactive 10.3.9.1. Company overview 10.3.9.2. Key financials 10.3.9.3. Geographical presence 10.3.9.4. Product and Business Segments 10.3.9.5. Strategic initiatives 10.3.9.6. SWOT analysis 10.3.9.7. Competitive positioning and landscape 10.3.10. Active.Ai 10.3.10.1. Company overview 10.3.10.2. Key financials 10.3.10.3. Geographical presence 10.3.10.4. Product and Business Segments 10.3.10.5. Strategic initiatives 10.3.10.6. SWOT analysis 10.3.10.7. Competitive positioning and landscape 10.3.11. Huawei 10.3.11.1. Company overview 10.3.11.2. Key financials 10.3.11.3. Geographical presence 10.3.11.4. Product and Business Segments 10.3.11.5. Strategic initiatives 10.3.11.6. SWOT analysis 10.3.11.7. Competitive positioning and landscape 10.3.12. Worldline 10.3.12.1. Company overview 10.3.12.2. Key financials 10.3.12.3. Geographical presence 10.3.12.4. Product and Business Segments 10.3.12.5. Strategic initiatives 10.3.12.6. SWOT analysis 10.3.12.7. Competitive positioning and landscape 10.3.13. IBM 10.3.13.1. Company overview 10.3.13.2. Key financials 10.3.13.3. Geographical presence 10.3.13.4. Product and Business Segments 10.3.13.5. Strategic initiatives 10.3.13.6. SWOT analysis 10.3.13.7. Competitive positioning and landscape 10.3.14. Fintech 10.3.14.1. Company overview 10.3.14.2. Key financials 10.3.14.3. Geographical presence 10.3.14.4. Product and Business Segments 10.3.14.5. Strategic initiatives 10.3.14.6. SWOT analysis 10.3.14.7. Competitive positioning and landscape 10.3.15. Accel Frontline Limited 10.3.15.1. Company overview 10.3.15.2. Key financials 10.3.15.3. Geographical presence 10.3.15.4. Product and Business Segments 10.3.15.5. Strategic initiatives 10.3.15.6. SWOT analysis 10.3.15.7. Competitive positioning and landscape

About This Report

Report ID 11051
Category Featured Reports
Published Date oct 2019
Updated Date Dec 2020
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