AI-Enhanced Sales Quoting Market Report 2034

Report Description

This report is updated with the latest market data and insights as of June 2026. Base year: 2025  |  Forecast period: 2026-2034

AI-Enhanced Sales Quoting Market Outlook

According to our latest research, the AI-Enhanced Sales Quoting market size reached USD 1.92 billion in 2025 on a global scale, demonstrating robust adoption across a wide range of industries. The market is projected to expand at a CAGR of 18.7% from 2026 to 2034, resulting in a forecasted market size of USD 9.82 billion by 2034. This significant growth trajectory is primarily driven by the increasing need for automation, accuracy, and speed in sales quoting processes, as well as the integration of advanced AI technologies to optimize customer engagement and overall sales efficiency. Organizations across every major vertical are recognizing that intelligent quoting is no longer a competitive luxury but a strategic necessity for sustaining revenue growth in a digital-first economy.

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One of the primary growth factors fueling the AI-Enhanced Sales Quoting market is the rising demand for digital transformation within sales operations across industries such as retail, manufacturing, BFSI, and healthcare. Organizations are increasingly recognizing the value of AI-powered quoting solutions in streamlining complex pricing models, reducing manual errors, and accelerating the sales cycle. The adoption of these technologies enables sales teams to generate tailored quotes in real time, respond more effectively to customer inquiries, and ultimately close deals faster. Furthermore, the integration of AI with CRM and ERP systems enhances data-driven decision-making, providing actionable insights that drive both revenue growth and operational efficiency. Enterprises investing in AI-assisted upselling capabilities alongside quoting automation are reporting measurably higher average deal values and improved customer lifetime metrics.

Another significant growth driver is the shift toward cloud-based deployment models, which offer scalability, flexibility, and cost-effectiveness for businesses of all sizes. Cloud-based AI-enhanced sales quoting platforms facilitate seamless collaboration among geographically dispersed teams, ensuring that sales representatives, channel partners, and distributors have access to up-to-date pricing and product information at any time. This deployment model also supports rapid rollout of new features and updates, helping organizations stay ahead of the competition in a dynamic market landscape. Advancements in natural language processing (NLP) and machine learning algorithms are further enhancing the capabilities of AI-powered quoting tools, enabling more accurate quote generation and substantially improved customer experiences throughout the buying journey.

The growing emphasis on personalized customer experiences is also propelling the AI-Enhanced Sales Quoting market forward. Enterprises are leveraging AI to analyze customer preferences, purchase history, and behavioral patterns to create highly customized quotes that increase conversion rates. AI-driven quoting systems automatically recommend cross-sell and up-sell opportunities, leading to higher average deal sizes and improved customer satisfaction. Organizations are simultaneously exploring how AI-driven sales proposal generation complements quoting automation to create a fully connected, intelligent revenue workflow. As businesses continue to prioritize customer-centric strategies, demand for intelligent quoting solutions that deliver tailored and timely responses will continue to rise through the forecast period.

From a regional perspective, North America currently leads the global market, accounting for the largest share in 2025 due to early adoption of AI technologies and the presence of major technology providers. However, Asia Pacific is expected to witness the fastest growth over the forecast period, driven by rapid digitalization, increasing investments in AI, and expanding e-commerce sectors in countries such as China, India, and Japan. Europe also presents significant opportunities, particularly in the manufacturing and BFSI sectors, where automation and efficiency are critical priorities. Latin America and the Middle East and Africa are gradually catching up, with growing enterprise awareness and accelerating adoption of AI-enhanced sales quoting solutions among both large organizations and emerging channel partner networks.

Component Analysis

The AI-Enhanced Sales Quoting market is segmented by component into software and services, each playing a critical role in driving overall market growth and adoption. The software segment dominates the market, accounting for approximately 64.5% of total revenue in 2025. This dominance is attributed to the increasing deployment of advanced AI-powered quoting platforms that automate complex pricing, configure product bundles, and generate accurate quotes with minimal human intervention. These software solutions are designed with intuitive user interfaces, robust analytics, and seamless integration capabilities with existing enterprise systems, making them indispensable for modern sales teams seeking to enhance productivity and customer engagement across the entire sales cycle.

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The services segment, which includes consulting, implementation, support, and maintenance, accounts for approximately 35.5% of the market in 2025 and is also experiencing significant growth as organizations seek expert guidance to maximize the value of their AI investments. Service providers offer tailored solutions that address unique business challenges, from system integration and user training to change management and ongoing optimization. As the adoption of AI-enhanced quoting solutions accelerates, demand for specialized services to ensure smooth deployment, customization, and sustained performance is rising steadily. This trend is particularly pronounced among small and medium enterprises (SMEs), which often lack in-house expertise and rely on external partners for successful digital transformation initiatives.

A key trend within the component segment is the increasing convergence of software and services, with vendors offering comprehensive packages that combine cutting-edge technology with end-to-end support. This approach not only simplifies the procurement process for customers but also ensures a higher return on investment by aligning technology deployment with core business objectives. The rise of subscription-based and SaaS models is making AI-enhanced sales quoting solutions more accessible and affordable, further driving market penetration across industry verticals. Vendors are also bundling capabilities related to proposal automation directly into their quoting software suites, creating richer, more seamless revenue workflows for enterprise customers.

As the market evolves through the forecast period to 2034, continuous innovation in AI algorithms, user experience design, and integration capabilities will be crucial for software providers to maintain a competitive edge. Service providers, meanwhile, will need to expand their offerings to include advanced analytics, process automation, and strategic consulting to support clients in achieving long-term success with AI-enhanced quoting platforms. Overall, the synergy between software and services is expected to remain a key driver of growth and differentiation in the AI-Enhanced Sales Quoting market.

Report Scope

Deployment Mode Analysis

Deployment mode is a critical consideration for organizations implementing AI-enhanced sales quoting solutions, with the market segmented into cloud and on-premises models. The cloud deployment mode holds the largest market share in 2025, driven by its inherent advantages of scalability, flexibility, and meaningful cost savings. Cloud-based solutions enable businesses to quickly deploy and scale their quoting platforms without significant upfront investments in hardware or IT infrastructure. This is particularly beneficial for organizations with distributed sales teams, channel partners, and distributors, as it facilitates real-time collaboration and access to centralized pricing and product data from any location or device.

On-premises deployment, while representing a smaller share of the market, continues to be preferred by certain industries and large enterprises with stringent data security, compliance, and customization requirements. Organizations in sectors such as BFSI and healthcare often opt for on-premises solutions to maintain greater control over sensitive customer and pricing data. These deployments offer enhanced security, data sovereignty, and the ability to integrate deeply with existing legacy systems. However, the higher upfront costs, longer implementation timelines, and ongoing maintenance requirements remain key considerations that organizations must carefully weigh when evaluating their deployment strategy.

The growing popularity of hybrid deployment models is also shaping the market landscape, as businesses seek to balance the benefits of cloud and on-premises solutions. Hybrid models enable organizations to leverage the scalability and accessibility of the cloud for non-sensitive operations while retaining critical data and processes on-premises for enhanced security and compliance. This approach is gaining traction among large enterprises and multinational organizations with complex IT environments and diverse regulatory requirements across different regions.

As AI and cloud technologies continue to mature through the 2026-2034 forecast period, the market is witnessing a gradual shift toward cloud-first strategies, especially among SMEs and fast-growing enterprises. Vendors are responding by enhancing the security, reliability, and integration capabilities of their cloud-based quoting platforms, directly addressing concerns related to data privacy and regulatory compliance. The ongoing evolution of deployment models will play a pivotal role in shaping the future growth and adoption of AI-enhanced sales quoting solutions across different industry verticals and organization sizes globally.

Organization Size Analysis

The AI-Enhanced Sales Quoting market is segmented by organization size into small and medium enterprises (SMEs) and large enterprises, each exhibiting distinct adoption patterns and solution requirements. Large enterprises currently account for the largest market share in 2025, driven by their greater financial resources, complex sales processes, and higher volumes of transactions requiring systematic management. These organizations are investing heavily in AI-powered quoting solutions to automate repetitive tasks, enhance pricing accuracy, and optimize sales performance across multiple business units and geographies. The ability to integrate AI quoting platforms with existing CRM, ERP, and CPQ systems is particularly valued by large enterprises seeking to streamline end-to-end sales operations and enforce consistent pricing governance.

SMEs, while representing a smaller share of the market, are emerging as a significant and fast-growing segment due to the increasing availability of affordable, cloud-based AI quoting solutions. These businesses are drawn to the promise of improved efficiency, reduced manual workload, and enhanced competitiveness offered by AI-driven automation. SMEs are leveraging AI-enhanced quoting tools to level the playing field with larger competitors, enabling them to deliver faster, more accurate quotes and respond to customer inquiries in real time. The rise of subscription-based pricing models and SaaS platforms is lowering the barriers to entry for SMEs, making advanced AI capabilities accessible without the need for substantial upfront capital investments.

A notable trend within the organization size segment is the growing focus on user experience and ease of adoption. Vendors are designing intuitive, low-code and no-code platforms that cater to the needs of both large enterprises and SMEs, ensuring rapid onboarding and minimal disruption to existing workflows. The provision of training, ongoing support, and managed services is helping organizations of all sizes maximize the value of their AI-enhanced quoting investments. Research on AI-enhanced contract lifecycle management suggests that organizations integrating quoting with contract automation experience significantly shorter sales-to-close cycles, a benefit accessible to enterprises and SMEs alike.

As digital transformation accelerates across industries through the 2026-2034 period, the gap between large enterprises and SMEs in terms of AI adoption is expected to narrow considerably. Both segments are increasingly recognizing the strategic importance of AI-enhanced sales quoting in driving revenue growth, improving customer satisfaction, and maintaining a competitive edge in an increasingly digital marketplace. The ongoing democratization of AI technology will continue to fuel market expansion across organizations of all sizes and geographies.

Application Analysis

The application landscape of the AI-Enhanced Sales Quoting market is diverse, encompassing sectors such as retail, manufacturing, BFSI, healthcare, IT and telecommunications, and others. Each industry presents unique challenges and opportunities for the adoption of AI-powered quoting solutions. In the retail sector, AI-enhanced quoting tools are being used to automate the generation of personalized quotes for a wide range of products and services, enabling retailers to respond quickly to customer inquiries and capture more sales opportunities. The ability to analyze customer preferences, purchase history, and market trends empowers retailers to offer tailored pricing and promotions, driving higher conversion rates and long-term customer loyalty. Retailers are also benefiting from insights drawn from AI-enhanced retail analytics platforms to inform dynamic pricing strategies embedded within their quoting workflows.

In the manufacturing sector, the complexity of product configurations, pricing structures, and supply chain dynamics necessitates advanced quoting solutions capable of handling intricate variables and interdependencies. AI-powered quoting platforms enable manufacturers to automate the creation of accurate, customized quotes for complex engineered products, reducing the risk of errors and ensuring compliance with established pricing policies. The integration of AI with product lifecycle management (PLM) and enterprise resource planning (ERP) systems further streamlines the quoting process, enhancing operational efficiency and accelerating time-to-market for new offerings. Manufacturers exploring the intersection of quoting and product planning are also investigating AI-enhanced product lifecycle forecasting as a complementary capability that improves cost estimation accuracy within complex quotes.

The BFSI sector is leveraging AI-enhanced quoting solutions to streamline the delivery of financial products and services, including loans, insurance policies, and investment products. AI-driven quoting platforms enable financial institutions to generate personalized quotes based on customer profiles, risk assessments, and regulatory requirements, improving both speed and accuracy. The ability to integrate with core banking and customer relationship management (CRM) systems is a key requirement for BFSI organizations optimizing their quoting processes while maintaining strict compliance standards.

In healthcare, AI-enhanced sales quoting solutions are being adopted to manage the complex pricing and quoting requirements associated with medical devices, pharmaceuticals, and healthcare services. These platforms enable healthcare providers and suppliers to generate accurate, compliant quotes that reflect the latest pricing guidelines, reimbursement policies, and regulatory standards. The use of AI also supports the identification of cross-sell and up-sell opportunities, helping organizations maximize revenue while improving patient care outcomes. Across all application segments, the ongoing evolution of AI technologies is driving continuous innovation and expanding the range of compelling use cases for AI-enhanced sales quoting solutions globally.

End-User Analysis

The AI-Enhanced Sales Quoting market serves a diverse range of end-users, including enterprises, channel partners, distributors, and others. Enterprises represent the largest end-user segment in 2025, driven by the need to optimize internal sales processes, improve pricing accuracy, and deliver superior customer experiences at scale. Large organizations with complex product portfolios and global operations are increasingly adopting AI-powered quoting solutions to automate quote generation, enforce pricing consistency, and ensure compliance with corporate governance policies. The integration of AI with enterprise systems enables organizations to leverage data-driven insights for more effective sales strategies, better forecasting, and improved decision-making at every stage of the revenue cycle.

Channel partners, including resellers, system integrators, and value-added partners, are also significant and growing users of AI-enhanced sales quoting solutions. These partners rely on advanced quoting tools to efficiently manage multiple product lines, pricing models, and customer segments. AI-driven platforms enable channel partners to generate accurate, customized quotes quickly, enhancing their ability to win deals and build stronger relationships with both vendors and end customers. The ability to collaborate seamlessly with manufacturers and distributors through integrated quoting platforms is a key differentiator for channel partners competing in crowded markets.

Distributors, who play a critical role in the supply chain, are leveraging AI-enhanced quoting solutions to streamline quoting and order management processes. These platforms enable distributors to manage large volumes of quotes simultaneously, track real-time pricing changes, and ensure timely responses to customer inquiries. AI-powered analytics provide distributors with actionable insights into market trends, customer preferences, and competitive pricing strategies, helping them optimize sales operations and maximize profitability throughout the distribution chain.

Other end-users, such as consultants, agents, and specialized service providers, are also adopting AI-enhanced sales quoting solutions to improve efficiency, accuracy, and responsiveness in their quoting workflows. The flexibility and scalability of AI-powered platforms make them suitable for a wide range of business models and industries. As adoption of AI-enhanced quoting solutions continues to expand through the 2026-2034 forecast period, vendors are focusing on developing tailored offerings that address the unique needs and challenges of each distinct end-user segment, ensuring maximum value delivery across the ecosystem.

Opportunities and Threats

The AI-Enhanced Sales Quoting market presents a wealth of opportunities for growth and innovation, particularly as organizations across industries seek to leverage AI to fundamentally transform their sales operations. The increasing demand for personalized customer experiences, real-time quoting, and data-driven decision-making is creating significant opportunities for vendors to develop advanced AI-powered quoting solutions that deliver measurable business outcomes. The ongoing evolution of AI technologies, including natural language processing, machine learning, and predictive analytics, is enabling the creation of more intelligent, adaptive, and user-friendly quoting platforms that meet the evolving expectations of modern enterprise buyers and their customers.

Another major opportunity lies in the expansion of AI-enhanced sales quoting solutions into emerging markets and new industry verticals. As digital transformation accelerates in regions such as Asia Pacific, Latin America, and the Middle East and Africa, there is growing demand for affordable, scalable, and easy-to-deploy quoting platforms. The rise of e-commerce, the proliferation of digital sales channels, and the increasing complexity of product and service offerings are driving the need for intelligent quoting solutions that can adapt to diverse and rapidly evolving business environments. Vendors that can tailor their offerings to meet the unique requirements of different industries, organization sizes, and regions will be well-positioned to capitalize on new growth opportunities and expand their global footprint through 2034.

Despite the numerous opportunities, the market also faces certain restraining factors that could hinder growth. One of the primary challenges is the complexity of integrating AI-enhanced quoting solutions with existing legacy systems, particularly in large enterprises with intricate IT environments accumulated over many years. Data security, privacy, and regulatory compliance concerns remain significant barriers, especially in regulated industries such as BFSI and healthcare, where data handling requirements are especially rigorous. Additionally, the lack of in-house AI expertise and organizational resistance to change among established sales teams can slow down adoption of AI-powered quoting tools. Vendors must address these challenges by offering robust integration capabilities, comprehensive training and support programs, and clear, quantifiable value propositions that accelerate adoption and drive widespread market growth.

Regional Outlook

Regionally, the AI-Enhanced Sales Quoting market is led by North America, which accounted for approximately USD 701 million in market size in 2025, representing around 36.5% of global revenue. This dominance is attributed to early adoption of AI technologies, a strong concentration of leading technology providers, and high levels of investment in digital transformation initiatives across enterprise sales functions. The United States and Canada are at the forefront, with enterprises across sectors such as BFSI, retail, and manufacturing leveraging AI-powered quoting solutions to gain meaningful competitive advantages. The region's mature IT infrastructure, skilled AI workforce, and favorable regulatory environment further support market growth and ongoing innovation through the forecast period.

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Europe represents the second-largest regional market, with a market size of around USD 490 million in 2025, accounting for approximately 25.5% of global revenue. Countries such as Germany, the United Kingdom, and France are driving adoption, particularly in the manufacturing, automotive, and financial services sectors. The region's emphasis on data privacy under frameworks such as GDPR, regulatory compliance, and process automation is fueling demand for secure and reliable AI-enhanced quoting solutions. European enterprises are increasingly investing in cloud-based platforms and advanced analytics to streamline sales operations, improve customer engagement, and ensure alignment with industry standards and evolving regulatory requirements.

Asia Pacific is poised for the fastest growth over the forecast period, with a projected CAGR of 22.5% from 2026 to 2034. The region's market size reached approximately USD 422 million in 2025, representing around 22.0% of global revenue, and is expected to expand rapidly as businesses in China, India, Japan, South Korea, and Southeast Asia accelerate their digital transformation journeys. The proliferation of e-commerce platforms, the rise of digital sales channels, and increasing government and private investment in AI and cloud technologies are key drivers of market growth across the region. Latin America and the Middle East and Africa, with market sizes of approximately USD 173 million and USD 134 million respectively in 2025, are witnessing growing adoption of AI-enhanced sales quoting solutions, fueled by expanding enterprise digitalization programs and a rising focus on automation and improved customer experience in increasingly competitive local markets.

Competitor Outlook

The competitive landscape of the AI-Enhanced Sales Quoting market in 2025 is characterized by a dynamic mix of established technology giants, innovative growth-stage companies, and highly specialized solution providers. Companies compete on the basis of technological innovation, depth of AI capabilities, integration breadth, vertical specialization, and quality of customer support. Leading vendors are investing heavily in research and development to enhance the intelligence, automation, and overall user experience of their quoting platforms. Strategic partnerships, mergers and acquisitions, and collaborative go-to-market arrangements with channel partners and distributors are common strategies employed to expand market reach and strengthen product portfolios in this fast-moving market.

Key players are focused on developing comprehensive, end-to-end solutions that address the diverse needs of enterprises, channel partners, and distributors across various industry verticals. The ability to integrate seamlessly with existing CRM, ERP, and CPQ systems remains a critical differentiator, as organizations seek to maximize the value of their AI investments and eliminate friction from their sales operations. Vendors are also prioritizing security, compliance, and data privacy, particularly in regulated industries. The shift toward cloud-based and SaaS delivery models is enabling vendors to offer scalable, cost-effective solutions that serve organizations ranging from growth-stage SMEs to complex multinational enterprises with globally distributed sales teams.

The market is also witnessing the emergence of niche players and well-funded startups that are leveraging cutting-edge AI technologies, including large language models, machine learning, and predictive analytics, to deliver specialized quoting solutions for specific industries and use cases. These companies are gaining traction by offering innovative features, rapid deployment timelines, and highly responsive support, challenging the dominance of larger incumbents. The competitive landscape is expected to remain intense through the 2026-2034 forecast period, with ongoing technological innovation and product differentiation continuing to drive market growth and evolution at a rapid pace.

Among the major companies operating in the AI-Enhanced Sales Quoting market, Salesforce offers robust AI-powered quoting capabilities through its Salesforce CPQ and Revenue Cloud platforms, enabling organizations to automate quote generation, pricing optimization, and approval workflows at enterprise scale. Oracle and SAP SE provide comprehensive quoting solutions as integral parts of their broader ERP and CRM suites, with advanced AI and analytics features built for large-scale, complex deployments. Conga (formerly Apttus) specializes in configure, price, quote (CPQ) solutions that leverage AI to streamline complex quoting processes for global enterprises across multiple industries. PROS Holdings and Vendavo are recognized for their AI-driven pricing and quoting platforms, with particular strength in manufacturing, distribution, and services verticals. DealHub.io has emerged as a leading innovator in revenue operations and quoting automation, gaining rapid enterprise adoption. IBM Corporation and Infor offer AI-enhanced quoting capabilities as part of broader digital transformation and enterprise software portfolios, supporting deep integration, extensive customization, and enterprise-grade scalability. Revalize, Tacton Systems, Configure One, and Zilliant round out the competitive landscape with specialized offerings that address specific industry needs, from industrial manufacturing CPQ to AI-powered pricing science for distribution and services markets.

In conclusion, the AI-Enhanced Sales Quoting market is poised for exceptional growth through 2034, driven by technological innovation, accelerating cross-industry adoption, and the irreversible shift toward digital and customer-centric sales strategies. Organizations investing in intelligent quoting are also examining how adjacent capabilities, such as those found in AI-driven sales meeting intelligence platforms, can be combined with quoting automation to create fully integrated, data-driven revenue engines. Vendors that deliver intelligent, integrated, and user-friendly quoting solutions will be well-positioned to capitalize on the enormous opportunity ahead and drive long-term value for their customers. The competitive landscape will continue to evolve rapidly as new entrants and established players alike vie for leadership in this high-growth, strategically important market.

Key Players

• Salesforce
• SAP SE
• Oracle Corporation
• Microsoft Corporation
• PROS Holdings
• Conga (formerly Apttus)
• Vendavo
• Infor
• IBM Corporation
• DealHub.io
• Zilliant
• ConnectWise
• Revalize
• Tacton Systems
• Cincom Systems
• Configure One
• Verenia
• CloudSense