財務アナリティクスの世界市場 - 2023年までの予測：財務機能アナリティクス、財務市場アナリティクス
Financial Analytics Market by Solution (Financial Functions Analytics and Financial Market Analytics), Application (Wealth Management, Transaction Monitoring, and Customer Management), and Industry Vertical - Global Forecast to 2023
|出版日||ページ情報||英文 151 Pages
|財務アナリティクスの世界市場 - 2023年までの予測：財務機能アナリティクス、財務市場アナリティクス Financial Analytics Market by Solution (Financial Functions Analytics and Financial Market Analytics), Application (Wealth Management, Transaction Monitoring, and Customer Management), and Industry Vertical - Global Forecast to 2023|
|出版日: 2019年04月01日||ページ情報: 英文 151 Pages||
世界の財務アナリティクス市場は、2018年の69億米ドルから、2023年までに114億米ドルまで拡大すると見られています。市場は、2018年〜2023年のCAGR (複合年間成長率) で、10.7％の成長が予測されています。
"Growing digitalization trend, beyond M2M process automation, to drive the financial analytics market"
MarketsandMarkets expects the global financial analytics market to grow from USD 6.9 billion in 2018 to USD 11.4 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 10.7% during the forecast period. The key factors driving the financial analytics market include a rising need for reducing planning and budgeting cycles and the emergence of new IT applications and infrastructure, such as big data and advanced analytics.
Fraud attempts have seen a drastic increase in recent times; thus, making fraud detection and prevention more important and applicable across major industries, including BFSI, manufacturing and automotive, retail and ecommerce, telecom and IT, transportation and logistics, healthcare and pharma, energy and utilities, government, education, and real estate. Fraud detection through its real time, near real time, and batch analysis of all its users' activities, assist companies to safeguard customer and enterprise information, assets, accounts, and transactions. For fraud detection and prevention, financial analytics tools analyze customer data for missing information and provides a holistic view of suspicious transactions. It also screens clients across payment channels, such as wire transfers, checks, fund transfers, deposits, and withdrawals for identifying outliers that might indicate fraud patterns. Data mining technologies such as decision trees, machine learning, AI, cluster analysis, and neural networks are used to generate predictive model for understanding any fraudulent activities across the network.
The European region includes both developed and developing economies. Presently, the SMEs in the UK, Germany, and France are investing in analytics platforms to leverage benefits, and in turn, reduce unwanted costs. As the period of economic turmoil continues in Europe, enterprises are likely to undertake a stronger cost containment stance sooner. Europe is the second-largest regional market in terms of market share for financial analytics, but the growth is expected to decline in the coming years. The primary reason for the lesser growth rate in this region could be the Eurozone crisis. Post-Eurozone crisis, business firms are hesitant to make big investments. The factor is not the inefficiency of the business firms, but the skeptical outlook regarding the ROI. Structural deficiencies, overcapacity, low interest rates, and absence of a pan-European banking regulatory agency further paves way for financial analytics tools in BFSI sector.
In-depth interviews were conducted with the Chief Executive Officers (CEOs), marketing directors, other innovation and technology directors, and executives from various key organizations operating in the financial analytics market.
The major vendors offering financial analytics globally include: Oracle (US), IBM (US), Teradata (US), TIBCO Software (US), SAP (Germany), SAS Institute (US), Alteryx (US), Qlik (US), FICO (US), GoodData (US), Birst (US), Google (US), Information Builders (US), Zoho Corporation (US), and Domo (US). The study includes in-depth competitive analysis of these key players in the financial analytics market with their company profiles, recent developments, and key market strategies.
The financial analytics market revenue is primarily classified into revenues from solutions, services, or platforms. The revenue associated with solutions and platform offerings is associated with professional, and managed services. Other segments are application, deployment model, organization size, industry vertical, and region.
The report would help the market leaders/new entrants in this market with the information on the closest approximations of the revenue numbers for the overall financial analytics market and the subsegments. This report would help stakeholders understand the competitive landscape and gain insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with the information on the key market drivers, restraints, challenges, and opportunities.
(Business Overview, Solutions, Platform & Software, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
Details on Business Overview, Solutions, Platform & Software, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.