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Key Market Segments

positively impacts the growth of the marketThe global AI and advance machine learning in BFSI market is segmented into component, deployment model, enterprise size, application and region. Depending on the component, the market is segregated into solutions and services.On the basis of deployment model, it is categorized into on-premise and cloud. Depending on enterprise size, it is fragmented into large enterprises and SMEs.Story continues Based on application, the market is divided into fraud & risk management, customer segmentation, sales & marketing, digital assistance and others. Region wise, the market is studied across North America, Europe, Asia-Pacific, and LAMEA.

The key players profiled in the AI and advance machine learning in BFSI market analysis are:

These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.

• Fraud & Risk Management
• Customer Segmentation
• Sales & Marketing
• Digital Assistance
• Others

By Region

• North America
• U.S.
• Canada
• Europe
• UK
• Germany
• France
• Italy
• Spain
• Netherlands
• Rest of Europe
• Asia-Pacific
• China
• Japan
• India
• Australia
• South Korea
• Rest of Asia-Pacific
• LAMEA
• Latin America
• Middle East
• Africa

Key Topics Covered:

CHAPTER 1: INTRODUCTION1.1. Report description1.2. Key benefits for stakeholders1.3. Key market segments1.4. Research methodologyCHAPTER 2: EXECUTIVE SUMMARY2.1. Key findings2.2. CXO perspectiveCHAPTER 3: MARKET OVERVIEW3.1. Market definition and scope3.2. Key forces shaping global artificial intelligence and advanced machine learning in BFSI market3.3. Case studies3.3.1. CargoSmart adopted Tibco advance analytics solution for improving its decision-making capability by using real-time analysis3.3.2. Honeywell International Inc. adopted data and business analytics platform of Expedien Inc. to increase productivity, lower risk costs, accelerate growth, and lower risk of organizations3.4. Market dynamics3.4.1. Drivers3.4.1.1. Increase in investment by BFSI companies in AI and machine learning3.4.1.2. Increasing preferences for personalized financial services3.4.1.3. Increase in collaboration between financial institutes and AI & machine learning solution

company3.4.2.

Restraint3.4.2.1. Higher deployment cost of AI and advanced machine learning3.4.2.2. Lack of skilled labor3.4.3. Opportunity3.4.3.1. Increase in government initiatives and growth in investments to leverage AI technology3.5. Market evolution/industry roadmap3.6. Impact of government regulations on the global artificial intelligence and advanced machine learning in BFSI market3.7. COVID-19 impact analysis on AI and Advanced Machine Learning in BFSI market3.7.1. Impact on market size3.7.2. Consumer trends, preferences, and budget impact3.7.3. Economic impact3.7.4. Strategies to tackle the negative impact3.7.5. Opportunity window3.8. Key future initiatives3.8.1. Product launches

CHAPTER 4: GLOBAL ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI MARKET, BY COMPONENT4.1. Overview4.2. Solution4.3. Service

CHAPTER 5: GLOBAL ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI MARKET, BY DEPLOYMENT MODEL5.1. Overview5.2. On-premise5.3. Cloud-based

CHAPTER 6: GLOBAL ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI MARKET, BY ENTERPRISE SIZE6.1. Overview6.2. Large enterprise6.3. SMEs

CHAPTER 7: GLOBAL ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI MARKET, BY APPLICATION7.1. Overview7.2. Fraud & Risk Management7.3. Customer Segmentation7.4. Sales & Marketing7.5. Digital Assistance7.6. Others

CHAPTER 8: GOBAL ARTIFICIAL INTELLIGENCE & ADVANCE MACHINE LEARNING IN BFSI MARKET, BY REGION8.1. Overview8.2. North America8.3. Europe8.4. Asia-Pacific8.5. LAMEA

CHAPTER 9: COMPETITIVE LANDSCAPE9.1. Key players positioning analysis, 20209.2. Competitive dashboard9.3. Top winning strategies

Company’s P/E ratio for the trailing 12 months is 9.12.  Over a period of past 1-month, stock came subtracting -4.41% in its value.

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With its current market valuation of $3.77 billion, Select Medical Holdings Corporation is set to declare its quarterly results on Feb 23, 2022 – Feb 28, 2022. Analysts are in estimates of $0.52 per share for company’s earnings in the current quarter and are expecting its annual EPS growth moving up to $3.03 for 2021 with estimates of that growing to $2.81 in next year. These estimates are suggesting current year growth of 60.30% for EPS and -7.30% growth next year.

Analysts watching the company’s growth closely have provided estimates for its revenue growth with an average revenue estimate of $1.44 billion. They suggested that in the process company could generate revenue of as low as $1.4 billion which could climb up to $1.5 billion to hit a high Long term indicators are suggesting an average of 100% Sell for it.

According to ratings assigned by 5 analysts at the scale of 1 to 5 with 1.00 representing a strong buy and 5.00 suggesting a strong sell; 1 of

Digging deeper we become aware of the PEG ratio of the SEM stock which is currently positioned at 0.48. In predicting price targets of as low as $39.00 and as high as $50.00, analysts are in agreement on assigning the stock over the next 12 months average price target of $47.40.