Financial Analytics Market Development Strategy and Future Prospects 2023

 The global financial analytics market size is expected to grow from USD 6.9 billion in 2018 to USD 11.4 billion by 2023, at a Compounded Annual Growth Rate (CAGR) of 10.7% during the forecast period. The increasing focus on digital transformation, growing need for reducing planning and budgeting cycles, and emerging new IT applications in big data and advanced analytics are some of the key factors driving the adoption of financial analytics solutions.

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The solutions segment is projected to grow at a higher CAGR during the forecast period. Financial analytics solutions include financial function analytics and financial market analytics solutions that address critical business issues with unprecedented efficacy by analyzing internal financial information and operational data combined with external information, such as demographics, big data, and social media. Financial analytics solutions enable organizations reduce costs associated with risks, and create effective operational and customer engagement strategies to drive improved business performance. By adopting these solutions, organizations can proactively respond to evolving business conditions, improve operational efficiencies in a highly competitive environment, and transform customer engagement processes.

The managed services segment is projected to grow at the highest CAGR during the forecast period. Managed services play a crucial role in controlling budgets, making improved decisions to tackle business challenges and ensuring quality client experience. Financial institutions prefer the managed services to focus on their core business processes while eliminating the unnecessary investments in time and resources for financial performance analysis. This also prevents expenses caused due to the lack of expertise and bundling of unwanted software solutions for the purpose. In addition, technical expertise, service consistency, and flexibility are some of the important factors associated with the managed services in the financial analytics market.

The customer management segment is expected to grow at the highest CAGR during the forecast period. The customer management applications include customer experience analytics and customer profitability analytics. These applications enable financial organizations to understand customer behavior and identify profitable customers for achieving accurate customer segmentation and creating customized marketing campaigns and upselling strategies. These strategies and campaigns lead to improved customer experience, and higher customer retention and customer profitability. Furthermore, these applications are also instrumental in minimizing bad debts and increasing cash flow.

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APAC is expected to grow at the highest CAGR during the forecast period. The region is expected to provide significant growth opportunities over the next few years. The rising adoption of cloud computing by the small and medium sized enterprises (SMEs) is expected to drive the demand for cloud-based financial analytics solutions in the region. Moreover, BFSI being one of the largest industry in APAC, creates imminent need across BFSI organizations to leverage rising transactional data for correct risk modeling, credit policy generation, and fraud analysis. Subsequently, it drives the companies in the region to adopt financial analytics that facilitate analysis on financial data as well as the customers’ transactional data to improve business efficiencies and maximize revenue. To tackle the increasing global competition, local manufacturers are also striving to reduce operational costs and generate higher productivity. Enabled with advanced analytics and Artificial Intelligence (AI), financial analytics solutions facilitate such organizations with efficient inventory analysis, predictive maintenance, asset management, and remote monitoring applications through data-driven insights In addition, organizations are increasingly focusing on improving their customer service, and as a major competitive differentiator, they are adopting advanced analytics solutions such as financial analytics.

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