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The market for varicose vein treatment is highly fragmented; the increasing prevalence of varicose veins and growing geriatric population are among the primary factors driving the market growth. However, the high cost of treatment procedure and lack of skilled professionals are hampering the growth of the market. The treatment cost for varicose veins is high and the reimbursement scenario is very inconsistent. In 2018, 3 out of 10 individuals were affected by varicose veins with health expenses being more than $10 billion. These costs have increased annually due to a sedentary lifestyle, growing elderly population, and the prevalence of obesity.

The growing demand for digital technology and shifting customer demands have resulted in the increased adoption of artificial intelligence (AI) solutions to manage financial assets and enhance the customer experience. AI solutions are predominantly dependent on machine data that are generated from multiple sources, including data collected from customers and processes. The financial institutions, especially investment banks, have started using AI based analytics solutions to analyze data and identify the correlation & patterns to improve the asset management capability. These technologies are among the prominent solutions to deal with ever-changing financial regulatory & compliance environment to face the associated market risk and understand both income tax & corporate tax laws in an efficient way. AI in financial asset management is also witnessing a strong presence in analyzing consumer behavior patterns to bring new offerings and is finding new distribution channels for the financial institutions that can create a competitive advantage with the use of these technologies. As data-driven financial decision becomes a more prominent factor for increasing profitability, the market is expected to witness increased usage of AI solutions across banks, financial institutions, and insurance firms. Investment banks have been the primary users of the AI technology to improve risk assessment of the customer to optimize portfolios. Furthermore, IoT, cloud technology, edge computing, security-related technology (blockchain), etc. are supporting the market growth. This trend is expected to continue during the forecast period 2019-2025, fueling the market growth at a CAGR of 33.84% to reach revenue of $11.39 billion by 2025.

Fraud analytics is the fastest growing technology in the global online payment fraud detection market owing to the increasing adoption of AI in online payment fraud detection solutions. Continuous advancements in technologies is leading fraudsters to use sophisticated tools resulting in challenging environment for enterprises to prevent themselves from fraud incidents. Hence, due to the need for real-time information, vendors have introduced technology-based online payment fraud detection solutions, which are more capable and intelligent.

North America is dominant in the SOC market followed by Europe and Asia Pacific. North America is the largest contributor owing to the relatively high spending by Fortune 500 organizations on data protection and threat intelligence. Most number of organizations manage its own SOCs themselves, however many organizations partially outsource their security operations, mostly their detection and monitoring activities. Asia Pacific is poised to grow at the highest CAGR as the region holds great potential owing to organizations realizing the vulnerability and threat exposures of their systems to the cyber-attacks. The report contains an in-depth analysis of vendor profiles, which include analyst opinion, offerings, and competitive landscape. The holistic systems protectionwith endpoint security, data loss prevention, threat intelligence, among others are expected to drive the Security Operations Center market set up across the globe.