United States Mobile Sales Force Automation Market Report and Forecast 2024-2032

United States Mobile Sales Force Automation Market Report and Forecast 2024-2032

Market Outlook

According to the report by Expert Market Research (EMR), the United States mobile sales force automation market reached a value of USD 9.61 billion in 2023. Aided by the digitalisation-induced adoption of MSFA, the market is projected to further grow at a CAGR of 8.9% between 2024 and 2032 to reach a value of USD 22.02 billion by 2032.

Mobile sales force automation represents a pivotal component of the digital transformation journey for businesses across the nation. With a focus on innovation, customer-centricity, and strategic adoption, the industry is set to redefine sales force productivity, offering a roadmap for enhanced competitiveness and success in the digital age.

The mobile sales force automation market in United States has experienced significant growth, attributed to the increasing need for real-time access to customer data, improved sales productivity, and enhanced customer engagement strategies. In 2023, the market achieved a noteworthy valuation, propelled by the widespread adoption of mobile devices and cloud-based solutions across industries. This market is anticipated to expand at a substantial Compound Annual Growth Rate (CAGR) over the forecast period, driven by several key factors.

According to the United States mobile sales force automation market analysis, the growing emphasis on data-driven sales strategies has necessitated the adoption of Mobile SFA solutions that provide sales representatives with instant access to customer information, sales analytics, and performance metrics. Secondly, the shift towards remote and flexible working arrangements, accelerated by the global pandemic, has further underscored the importance of mobile technologies in maintaining productivity and connectivity among geographically dispersed sales teams.

Moreover, the competitive landscape of the U.S. market demands constant innovation in sales tactics and customer relationship management, for which Mobile SFA solutions offer invaluable tools, including CRM integration, automated sales reports, and geolocation services for territory management.

Innovation remains a critical driver of United States mobile sales force automation market growth, with developers focusing on enhancing user experience, integrating artificial intelligence (AI) for predictive analytics, and improving data security measures. The integration of AI and machine learning technologies has paved the way for advanced features like intelligent recommendations, automated data entry, and personalised customer interactions, setting new standards for sales force productivity and efficiency.

Market Segmentation

The market can be divided based on application, deployment mode, enterprise size, end user, and region.

Market Breakup by Application

• Lead Management
• Sales Forecasting
• Order and Invoices Management
• Opportunity Management
• Others

Market Breakup by Deployment Mode

• Cloud
• On-premises

Market Breakup by Enterprise Size

• Small and Medium Enterprises
• Large Enterprises

Market Breakup by End User

• BFSI
• Retail
• Healthcare
• Automotive
• Food and Beverages
• Telecommunication
• Others

Market Breakup by Region

• New England
• Mideast
• Great Lakes
• Plains
• Southeast
• Southwest
• Rocky Mountain
• Far West

Competitive Landscape

The EMR report looks into the market shares, plant turnarounds, capacities, investments, and mergers and acquisitions, among other major developments, of the leading companies operating in the United States mobile sales force automation market. Some of the major players explored in the report by Expert Market Research are as follows:

• Microsoft Corporation
• SAP SE
• Salesforce, Inc.
• Aptean Group of Companies
• Zoho Corporation Pvt. Ltd.
• SugarCRM Inc.
• Oracle Corporation
• Nimble, Inc.
• Insightly, Inc.
• Pipedrive Inc.
• Others

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*We at Expert Market Research always strive to provide you with the latest information. The numbers in the article are only indicative and may be different from the actual report.