2019金融科技報告（英文版）(91頁).pdf

《2019金融科技報告（英文版）(91頁).pdf》由會員分享，可在線閱讀，更多相關《2019金融科技報告（英文版）(91頁).pdf（91頁珍藏版）》請在三個皮匠報告上搜索。

1、FinTech Report 2019 Statista Digital Market Outlook Market Report Bilder immer einfrben in: Blue, Accent color 1 May 2019 2 FinTech, a combination of financial services and technology, has been rapidly evolving in the last decade and has to some extent completely reinvented the financial services la

2、ndscape and the way people spend, invest and lend money. With more than 50% of the global adult population using the internet to pay bills or buy something online, FinTech is not an emerging market anymore, but an established industry with huge potential yet to be unlocked. With this report we provi

3、de a comprehensive overview of the state of the FinTech market as it is today as well as a prognosis with detailed information on 12 different market segments in the areas of Digital Payments, Alternative Financing, Alternative Lending and Personal Finance. Besides all relevant market figures like t

4、otal and average transaction values, and user numbers for the years from 2018 to 2023, we furthermore give detailed insights into current trends, key players and important background information on the FinTech market. In comparison to the prior FinTech Outlook Report we have also added new content.

5、We now show user demographics, selected key market drivers as well as new company profiles and deep dive topics. Furthermore, besides our known focus regions, the U.S., China and Europe, we now also provide detailed figures on the top 5 EU countries to enable more insights into the market. Introduct

6、ion Source: Statista Digital Market Outlook 2018 The market outlook presents up-to-date figures and an in-depth analysis of the FinTech market Ksenia Striapunina graduated in Hamburg with a focus on Finance. She gained a comprehensive understanding of market structures and mechanisms from her work i

7、n telecommunications and later in financial markets, working as a consultant. At Statista she works on projects related to the digital economy. Ksenia Striapunina Senior Analyst Digital Markets 3 010203Market Outlook Overview Estimated market development Key player landscape Core competencies of Fin

8、Techs and banks Trend analysis Key market indicators Segments Overview Market sizes User numbers Average transaction value per user Company profiles Deep dives Appendix User demographics Market structure Product overview Imprint Agenda Alternative Lending Crowdlending Marketplace Lending Personal Fi

9、nance Robo-Advisors Digital Remittances Digital Payments Digital Commerce Mobile POS Payments Alternative Financing Crowdfunding Crowdinvesting 4 Overview: segments Source: Statista Digital Market Outlook 2019 The FinTech market is divided into four segments and 8 sub-segments in this report 1: Tran

10、saction value 2: CAGR: Compound Annual Growth Rate / average growth rate per year Source: Statista Digital Market Outlook 2019 5 Summary The rising number of internet and smartphone users as well as the aftermath of the financial crises of the early 21st century have led to the digitization of many

11、financial products. FinTech, a combination of financial services and technology, has been rapidly evolving in the last decade. We have identified four major segments where innovative digital products and services challenge established players in the financial services field: Customer focus, digital

12、touchpoints, higher levels of security and convenience make up the core elements of the growing FinTech movement. China is currently the biggest FinTech market in the world given its leadership position in Digital Payments and Alternative Lending, reaching US$1,274.7 billion and US$178.9 billion in

13、transaction value in 2018, respectively. The U.S. is the worlds second largest Fintech player and a global finance innovation powerhouse. Due to the high disposable income of the population and a high share of migrant workers, the U.S. is a leader in the Personal Finance segment. The market in Europ

14、e is smaller compared to China and the U.S. The leading country in Europe is the United Kingdom. Nevertheless, if the Brexit has larger effects on the market, forecasts have to be adjusted. Overview: summary and key takeaways Key takeaways Digital Payments The segment has a global transaction value

15、of US$3,595.3 billion in 2018 and is the largest segment within FinTech China is now and will stay by far the leading country in 2023 with US$3,100.6 billion in TAV1 Personal Finance The segment has a global market size of US$607.4 billion in 2018 and a CAGR2of about 13.3% (2018-23) Robo-Advisors ge

16、nerate the majority of transaction value in 2018 with US$543.2 billion Alternative Lending The segment has a global transaction value of US$59.8 billion in 2018 and a CAGR2of about 12.1% through to 2023 Marketplace lending creates most of the transaction value in 2018 with US$4.9 billion Alternative

17、 Financing The segment has a global transaction value of US$9.1 billion in 2018 and with a CAGR2of about 17.0%, it will remain the smallest category in FinTech in 2023 China is the largest global FinTech market across all segments in 2018, except Personal Finance 6 Global transaction value forecast

18、in billion US$ Estimated market development Source: Statista Digital Market Outlook 2019 Digital Payments generates the highest transaction value within FinTech with US$3,595.3 billion in 2018 2023201820192021 20.018.6 324.2 1,538.0 2020 365.2 11.7 3,595.3 2022 607.4 197.6 9.1 4,137.5 1,059.9 243.1

19、4,769.4 287.9 14.3 5,440.5 1,976.4 16.7 6,094.3 2,360.8 349.4 6,699.2 2,695.4 Alternative LendingDigital PaymentsAlternative FinancePersonal Finance 7 Key player landscape1 FinTech is a highly competitive market with fast- changing business models 1: Key player overview does not represent the entire

20、 market landscape Source: Statista Digital Market Outlook 2019 Digital PaymentPersonal FinanceAlternative LendingAlternative Financing Digital Commerce Robo- Advisors Mobile POS Payments P2P Money Transfers Crowd- investing Crowd- funding Crowd- lending P2P Marketplace Lending 8 Core competencies of

21、 FinTech and banks 1: AI = Artificial Intelligence 2: E2E = end-to-end Source: Statista Digital Market Outlook 2019 Technology enabler or disruptor? Where FinTech adds value to the financial system Scale Access to capital Distribution Trusted intermediary Expertise Market structure Regulation and co

22、mpliance Financial Industry Infrastructure Technology Existing connectivity Data access Revolutionary approach Customer-centric products Digital touchpoints Direct peer-to-peer business models Technology Cutting-edge technology e.g. AI1 Lean “as-a-service” approach Seamless integration E2E2 digital

23、processes and communication BANKSFINTECH 9 Source: Statista Digital Market Outlook 2019 Blockchain and machine learning are game-changing technologies in financial services Trend analysis (1/2) Blockchain The most frequently used buzzword within FinTech is probably blockchain. Blockchain is a distri

24、buted ledger technology that autonomously records peer-to-peer transactions across decentralized computers without a central authority. Information is written in blocks that are visible to everyone. The blockchain grows with the number of transactions and information stored in it. Blockchain partici

25、pants, also called “miners”, provide computing power to append new blocks and get an incentive for their work referring to a public blockchain. This makes fraudulent activities almost impossible, because of the immense number of equivalent replications. The most popular application at the moment are

26、 cryptocurrencies, e.g. Ethereum and Bitcoin. A blockchain can be characterized as a value-exchange protocol and has applications not only in the finance sector, but also to establish better transparency in reselling and transferring intellectual property or digital goods. Machine Learning Machine L

27、earning is relevant in many different aspects of the FinTech industry. One such example is an automated investment service known as a Robo-Advisor, where a self-learning algorithm simulates market outcomes and decides which asset class is best suited to the individual needs of an investor. It incorp

28、orates huge amounts of real-time data and goes beyond human capabilities. There are, however, many other areas in the financial industry where machine learning can enhance business- related decision making. Some examples include credit scoring, personal finance management and fraud de- tection, but

29、also marketing and customer relationship management for banks and other financial institutions. Machine learning can increase the accuracy and speed of decision-making and offers a huge potential when applied to predictive analysis to reduce risks and fraud. 10 Source: Statista Digital Market Outloo

30、k 2019 P2P platforms and alternative credit scoring remove traditional borrowers from the credit chain Trend analysis (2/2) Alternative credit scoring Alternative credit scoring is the process of using publicly sourced personal consumer information to obtain reliable risk profiles of loan seekers or

31、 potential customers of online stores. Companies specialized in alternative credit scoring collect public personal data from social networks and accessible online profiles and run it through scoring algorithms based on personal preferences, location, or other similar personal information. Enriched w

32、ith transaction-related data from previous purchases, outstanding loans, income, credit card or bank account information, these data sets allow alternative risk profiling in addition to renowned credit rating services such as U.S.-based FICO. These services offer new potential especially for consume

33、rs and loan seekers from the “underbanked“ parts of the population, giving them access to P2P lending and other services that require a financial risk profile. Peer-to-peer platforms Peer-to-peer (P2P) platforms bring together strangers and make it possible to create digital fundraising events for n

34、ew products, distribute equity shares in small businesses, as well as source loans directly from private investors. P2P payments are very convenient for end-users, especially when functionality is integrated with other applications such as social media or messaging apps. Access, processing speed and

35、 money transfer costs through digital channels are notably superior to traditional bank transfers. The challenge for platform providers is to ensure reliability and confidence in transactions. Fast, reliable scoring algorithms and fraud detection processes are therefore key to building a trustworthy

36、 brand and unlocking a new market potential that cannot be addressed by traditional banks. 11 Key market indicators: digital infrastructure overview A sufficient digital infrastructure is the necessary basis for developing digital markets Average internet connection speed in kbit/s. With rising conn

37、ection speed, more sophisticated services and functions like high-quality videos and 3D simulation become available. Percentage of total population using a smartphone on a monthly basis. Next to smartphones, more and more other devices, which are able to make orders or payments, are equipped with a

38、permanent internet connection (e.g. smartwatches). Percentage of total population using the internet on a monthly basis. High internet penetration means access to more choice options to an increasing number of households. INTERNET PENETRATION BROADBAND SUBSCRIPTION CONNECTION SPEED SMARTPHONE PENETR

39、ATION Access to broadband internet is crucial for establishing digital services. Only an always- on mentality and a high amount of data traffic leads to consumers integrating online shopping in their everyday lives. Source: Statista Digital Market Outlook 2019 52.6% 14.0 per 100 capita 14,161 kbit/s

40、 Global 2018 33.2% 12 Internet penetration in 2018 Key market indicators: internet penetration Source: Statista Digital Market Outlook 2019 Internet penetration is especially high in some European countries, China is lagging behind 93.5% 97.1% 83.6% 87.2% 84.1% 63.9% 56.9% 82.0% Europe 52.6% Global

41、13 Global fixed broadband subscriptions and average connection speed Key market indicators: fixed broadband subscriptions and average connection speed Source: Statista Digital Market Outlook 2019 From a global perspective, broadband subscriptions and connection speed are continuously rising 15,019 2

42、0232018 15,732 14.6 2019202020212022 14.0 14.3 14.8 15.0 15.1 17,444 14,161 16,350 16,909 Fixed broadband subscription per 100 capitaAverage connection speed in kbits/s 14 Smartphone penetration in 2018 Key market indicators: smartphone penetration Source: Statista Digital Market Outlook 2019 Due to

43、 the rise of smartphones, online commerce has become more accessible 69.0% 72.8% 80.4% 78.7% 75.4% 57.1% 50.4% 58.6% Europe 33.2% Global 15 Key market indicators: socioeconomic overview The rising adoption of FinTech is also influenced by various socioeconomic factors The percentage of population ha

44、ving an account (by themselves or together with someone else) at a bank or another type of financial institution. Increasing the financial inclusion is one of the driving forces of FinTech development. The percentage of population using the internet to pay bills or buy something online in the past 1

45、2 months. Growth of online payments and any digital services contributes to the further growth of this KPI. Gross domestic product in US$ in relation to the total population. The GDP is a monetary measure of the market value of all goods and services produced in one year and is common to determine t

46、he economic performance. GROSS DOMESTIC PRODUCT CONSUMER SPENDING FINANCIAL INSTITUTION ACCOUNT ONLINE PAYMENT USERS Average consumer spending per capita of private households in US$. Knowing the expenditure per capita gives necessary insights into price developments and the average willingness to e

47、ngage in financial operations. 1: Data for 2017 Source: Statista Digital Market Outlook 2019 83.5%1 Global 2018 51.5%1 11,546 per capita in US$ 6,340 per capita in US$ 16 Gross domestic product per capita in 2018 in US$ Key market indicators: gross domestic product Source: Statista Digital Market Ou

48、tlook 2019 GDP per capita is by far the highest in the U.S., followed by Germany 9,380 46,335 29,570 32,702 62,518 40,87240,676 11,546 Global 27,898 Europe 17 Consumer spending per capita in 2018 in US$ Key market indicators: consumer spending Source: Statista Digital Market Outlook 2019 Per-head co

49、nsumption expenditure in the U.S. is more than 11 times higher than in China 20,226 25,584 22,837 40,605 21,176 17,106 3,548 6,340 Global 14,832 Europe 18 Share of population having an account at a financial institution in 2017 Key market indicators: financial institution account 1: Only includes countries listed in the Digital Market Outlook Source: Statista Digital Market Outlook 2019 90% of the European and almost 84% of the global population have an account at a financial institution 96.4% 94.0%93.8%93.8% 99.1% 93.1