AI in Sales Market Size - By Solution, By Deployment Mode, By Technology, By Application, By End Use, Growth Forecast, 2025-2034

AI in Sales Market Size

The global AI in sales market size was valued at USD 31.2 billion in 2024. The market is expected to grow from USD 39.4 billion in 2025 to USD 383.1 billion in 2034, at a CAGR of 28.8%, according to latest report published by Global Market Insights Inc.

AI in sales market is experiencing substantial growth as more businesses implement design and technology to bolster customer engagement, optimize the sales cycle, and better predict sales revenue. AI-driven tools such as predictive lead scoring, sales conversation intelligence, and pricing optimization deployed to make the organization leaner with better operational efficiency.

In 2024, the U.S. Census Bureau reported that 5.5% of businesses reported using AI for production (up from 3.7% in 2023). This entry indicates systems use has rapidly gained momentum across verticals. Importantly, this shift from pilot projects or experimental use cases denotes AI is moving towards a part of the business in areas that drive revenue through selling goods and services, towards a fully scaled business utilization.
 

Similarly, the growth of the market is attributable to U.S. Census Bureau data, so too is it aided through developments across machine learning, natural language processing, and generative AI, which facilitate highly individual customer touchpoints along with better decision-making methodologies. Organizations utilize solutions that address these trends.

The COVID-19 pandemic has reshaped the sales landscape, driving digital adoption, and leading companies to rethink traditional engagement models. In February 2020 alone, online conversion rates increased by 8.8%, illustrating the immediate change in consumer preference to frictionless, convenient, and contactless buying channels. The e-commerce was well on its way to becoming the most popular mode of selling before COVID-19, the pandemic hastened the transition and compressed years of digital adoption into months.

In North America, the AI in sales market is growing rapidly as companies continue to focus on using data to make decisions and on customer-centricity. Reported by the survey, which included fast-growing small business leaders from America, the marketing & sales application is currently the largest sales-related AI application, with 73.5% of respondents indicating their teams have done this already. This shows importance AI is in support of customer acquisition, campaign effectiveness, and personalization, especially with agile and high-growth firms.

The Asia-Pacific region has emerged as the most rapidly growing market for AI in sales as rapid digitalization, soaring e-commerce activity, and substantial investments in AI infrastructure from government entities and the private sector are driving that growth. In China, for example, a trend has emerged in which more companies are using AI avatars to sell products over livestreams, according to WIRED; in fact, in some cases, the AI avatars are outperforming humans. This trend illustrates how the Asia-Pacific region is leading the way in generating unique applications for AI that combine sales, marketing, and entertainment to engage consumers.

AI in Sales Market Trends

Organizations are increasingly focusing on building hybrid teams where AI complements human efforts rather than replacing them. By placing AI into workflows, companies alleviate repetitive tasks, streamline their business, and improve productivity in different work structures. This is an indicator of the surging demand for AI tools that operate specialized teammates against analytics engines.
 

For example, in September 2025, HubSpot introduced an entire suite of hybrid human-AI teams that included more than 200 product updates, not limited to the Data Hub and Breeze AI Agents. These products integrate and clean data from multiple sources and embed AI directly into workplace tasks such as sales, marketing, and service workflows, essentially providing an AI teammate who supports human employees in orchestrating work and making decisions.
 

The process surrounding the adoption of AI is moving from an AI that automates tasks, generally, and categorically to specific department-facing actionable solutions that deliver actionable insights within a more specific business function. For example, in April 2025, Fireflies introduced a suite of more than 200 AI Apps specifically focused on automating meeting notes, meeting summaries, and integrating meetings into workflows. Features include sales prospect analyses, candidate evaluations, customer support information, and marketing review summaries that update CRMs and collaborative work platforms, thus increasing productivity and decision-making across all departments.
 

AI is significantly used to improve sales performance in better ways than simply discovering new prospects in the early stages, but rather to assist teams in making faster and better data-driven decisions in late-stage opportunities. Sales organizations are actively integrating AI into their business, with the expectation that it will provide increased insights into accounts, make recommendations to prioritize high-value deals, and maximize desired revenue results.
 

An example of this is ZoomInfo's April 2025 release of new Copilot features to bring AI sales capabilities to improve account insights beyond early-stage prospecting. These tools help enable sales teams to execute late-stage opportunities more quickly and confidently with purpose and effective effectively carry-believe, showcasing the utilitarian shift of AI as a tool for strategic deployment over utility support.
 

AI in Sales Market Analysis

Based on solutions, the AI in sales market is divided into sales forecasting & analytics, conversation intelligence, lead scoring & qualification, customer segmentation & targeting, sales coaching & performance management, chatbots & virtual sales assistants, email & outreach automation. The sales forecast & analytics segment dominated the market accounting for around 22% share in 2024 and is expected to grow at a CAGR of 27% from 2025 to 2034.
 

• Sales forecasting and analytics solution remain the market leader in AI for sales, as organizations' usage of analytical insights to anticipate revenue, optimize pipelines, and have strategic conversations to make decisions based on data continues to rise. Companies are now utilizing predictive models, deal probability tools, and market trend analyses, to increase accuracy in forecasting and drive profitable sales performance on a scale.
   
• For example, as of September 2023, Salesforce released its new Einstein 1 Platform, a trusted AI solution that combines data, automation, and the generative capabilities of Einstein AI across its CRM applications. By combining predictive analytics with workflow automation, the platform enables sales teams to more accurately forecast revenue, prioritize engagements, and lead an overall pipeline management effort.
   
• Sales coaching and performance management is the newest market segment growing at an exceptional pace fueled by the demand for tools to provide individual feedback, identify skill gaps, and improve performance. Companies are adopting AI platforms to review the sales activity and recommend training while automating coaching workflows for the team, which enables sales teams to ramp up productivity to close deals faster in a competitive market.
   

Based on applications, the AI in sales market is categorized into sentiment analysis, predictive forecasting, call summaries & exploration, guided selling & reporting, conversation mining, pricing & quotation optimization, and others. The sentiment analysis dominates the market with 20% share in 2024, and the segment is expected to grow at a CAGR of 26% between 2025 and 2034.
 

• Sentiment analysis is the largest segment in the AI in sales market, as organizations increasingly seek to gain a profoundly deeper understanding of their customers' emotions, engagement, and preferences. AI increasingly gives organizations the ability to capture more nuanced feedback from calls, chats, and meetings, allowing sales and service teams to respond proactively and enhance customer experience.
   
• In June 2025 artificial intelligence startup Reasoner officially launched a new sentiment analysis tool built for use with video calling applications that offers more than just note-taking during meetings and then analyzing the surface-level interactions. The tool collects emotional cues and conversational dynamics which helps teams understand client sentiment in real time and make informed decisions regarding engagement and communication based on data.
   
• Conversation mining is the fastest growing segment, as organizations increasingly seek actionable insights from sales calls, meetings, and chat interactions. Organizations can scale conversations, allowing them to efficiently identify successful sales patterns, discover objections earlier, and optimize messaging for improved outcomes. The rapid adoption of conversation mining solutions signifies the demand for real-time intelligence and predictive insights that accelerate deal cycles and improve team performance across sales functions.
   

Based on technology, the AI in sales market is divided into machine learning (ML), natural language processing, computer vision, generative AI solutions, and others. The natural language processing segment dominates the market and was valued at USD 14.3 billion in 2024. 
 

• The machine learning segment is the largest in the AI in sales industry, serving as the essential engine that drives most applications. It enables AI tools to analyze massive historical datasets to identify patterns, predict outcomes, and automate more complicated decision-making. ML algorithms like those used in Salesforce Einstein and HubSpot evaluate hundreds of different data points from a company's CRM, demographics of leads and customers, their engagement behavior on a website, their response history as it pertains to email, and previous outcomes of interactions with sales, etc. The model has been trained on past data to identify the nuanced combinations or signals that indicate a strong likelihood of conversion.
   
• For example, IBM has enhanced its Conversation, machine learning, and other APIs from Watson to support the new iOS 10 speech framework. This allows applications to support conversational interactions and provide deeper insights for users. This is just an example of how machine learning technologies are evolving in different ways to improve real-time communication, customize user experiences, and help applications to process the complexities of spoken and written language inputs.
   
• Computer vision, robotic process automation (RPA), and cognitive computing represent salient sectors of AI in sales space and solutions for enterprises with different operational needs. Computer vision allows machines to explain visual data related to quality inspection, surveillance, and navigation as autonomous vehicles, for instance. RPA automates repetitive, rule-based tasks that support completion of tasks across workflows, while saving time and manual effort in general, and costs for findings in total after implementation.
   

Based on deployment mode, the market is divided into on-premises, cloud, and hybrid. The cloud segment dominates the market and was valued at USD 21.7 billion in 2024. 
 

• The cloud segment continues to lead the AI in sales market, as it is driven by more companies adopting SaaS-based solutions. Companies choose cloud solutions because they are typically scalable, accessible, and cost effective. Cloud solutions allow organizations to consolidate and centralize customer data, enable increased workflow automation, and take advantage of AI-powered analytics without the large upfront IT costs associated with heavy infrastructure, making advanced sales tools available to organizations of any size.
   
• An excellent example of this cloud-based trend is Salesforce Sales Cloud, which reshaped the Customer Relationship Management (CRM) space. Cloud-based, user-friendly platforms centralize customer information, automate workflows, and enhance customer relationships, offering enterprise-level capabilities in an accessible format. The implementation of this model reflects the pervasiveness of cloud solutions to support AI-powered insights, improved sales productivity.
   
• The hybrid segment is the fastest-growing deployment-based segment as organizations seek the benefits a cloud solution provides while maintaining or using on-premises systems to meet specific security, regulatory, and performance needs. Hybrid deployments allow organizations to use AI Tools while exercising control over sensitive data, and integration with existing IT infrastructure, greatly speeding up adoption in most industries where data privacy and regulation is a driver.
   

The US dominated North America AI in sales market with around 88% market share and revenue of USD 11.7 billion in 2024.
 

• The US is the largest market for AI in sales in North America due to strong technology adoption, existing enterprise infrastructure, and a focus on enhancing revenue efficiency for SMEs. AI solutions are increasingly being deployed in the US economy's business workflows to accelerate revenue teams with offer insights and enable automated reporting and recommended decision-making.
   
• US-based Gong, for example, launched AI agents for revenue teams in April 2025, which uses decade of interchange data between buyers and sellers to provide verified insights for pipeline management, sales forecasts, coaching, and customer engagement. By automating repetitive tasks and offering actionable recommendations, these AI tools are helping companies to manage their sales performance and improve revenue forecast accuracy for further operations.
   
• Canada is rapidly becoming the fastest growing AI in sales market in North America, driven by growing interest from SMBs and rapid adoption rates of cloud-based AI solutions. Companies are prioritizing AI to accelerate existing sales workflows for lead qualification, customer engagement, and sales forecasting ahead of other markets. The adoption of cloud-based AI solutions is quickened by the inclusion of workflow-integrated AI agents and analytics applications that produce faster ROI and streamlined processes in smaller, agile businesses.
   

Germany AI in Sales market will grow tremendously between 2025-2034.
 

• Germany is the one of the big markets in Europe for AI usage in sales, owing to a powerful industrial and enterprise base that is heavily investing in AI-enabled automation and analytics. German firms are applying various AI tools around predictive lead scoring, sales forecasting and customer segmentation that fueled operational efficiencies for competitive advantage. The country focuses on enterprise-scale AI adoption, integrating multiple AI technologies across sales, marketing, and service departments.
   
• As reported the statistics from Dutch government, 22.7% of Dutch businesses utilized at least one AI technology in 2024, which a marked increase from 14% in 2023. Text mining (13.5%) was the most utilized technology, followed by natural language generation (12.3%). This supports a broader regional trend whereby German enterprises will be adopting similar AI applications to derive insights from massive datasets, and to automate content generation.
   
• In terms of rapid adoption, the UK is experiencing the fastest growth in Europe for AI usage in sales, supported by an impressive start-up ecosystem, with high digital maturity and rapid adoption of cloud-based AI platforms, across the business landscape. Companies are heavily adopting and deploying AI solutions, particularly in marketing automation, sales forecasting and customer engagement to gain market advantage and share.
   

The AI in Sales market in China will experience strong growth of 30.6% between 2025 and 2034.  
 

• Asia-Pacific accounts for more than 22% of market and has the highest growth potential with a CAGR of 32.6%. In sales, China is the largest AI market in the Asia-Pacific region, powered by high digital adoption, a strong e-commerce ecosystem, and innovative AI applications. Companies aggressively implement AI to interact with consumers in engaging and personalized, creating new sales channels and better customer experience & retention.
   
• In August 2025, WIRED reported that companies in China employing AI Avatars to advertise and sells their products through livestreams, with impressive results. These virtual beings, in some cases, offer a compelling replication of the sales conversation. They are sometimes outperforming people in engagement and conversion metrics. This innovation reaffirms China's ability to deploy and operationalize new technologies include AI to augment consumer-facing processes and signifies China's initial position in being a testbed for new and combined technologies in the sales space with AI and automation. 
   
• India is the fastest-growing AI in sales market in the APAC region, fueled by rapid SMB adoption, increasing digital literacy, and increasing demand for affordable automation. According to recent data, 78% of Indian SMB's utilize AI for business and to reach their objectives, indicating growing penetration of in marketing, sales and customer engagement. Companies in India are using AI-driven solutions for lead management, personalized, outreach, and workflow automation, prepping them to better compete in the domestic and foreign market.
   

The AI in Sales market in Brazil will experience significant growth between 2025 & 2034.
 

• Latin America holds a 4% share of overall AI in sales market in 2024 with a significant CAGR of 30.5%. AI is expected to significantly influence the sales industry in Brazil, increasing efficiency and support for decision making in accordance with human skills, not replacing them. Companies are already significantly investing into AI sales tools, including generative AI applications to aid workflows, lead scoring, and personalize customer engagement.
   
• The chambers AI 2025 report forecast for Brazil suggests generative AI project funding will exceed $2.4 billion by 2025 representing the importance of advanced technology in sales and sales strategy. The adoptive use of generative AI by professionals in Brazilian sales and marketing is already significant (68% of Brazilian professionals use AI daily) reinforcing the proliferation of AI in sales, marketing and service process.
   
• Argentina is being established as an emerging market for AI in sales in Latin America significantly due to increased foreign investment and local AI initiatives. Salesforce in February 2025 announced a $500 million dollar investment in Argentina over the next five years to expand its AI-enabled customer relationship management or CRM and overall digital infrastructure. Salesforce's strategic investment should highlight its potential for Argentina as a growing hub for AI based solutions, and particularly as it relates to enterprise applications and customer engagement platforms.
   

The AI in Sales market in UAE is expected to experience high growth between 2025 & 2034.
 

• The UAE accounts for largest share of the Middle East and Africa market, boosted by high digital adoption and tech-savvy consumers. The region's businesses are increasingly applying AI in marketing, sales, and customer engagement, using advanced analytics, conversational AI, and recommendation engines. Recent data shows that approximately 55% of UAE consumers have used generative AI, and more than 70% have made purchases via social platforms, demonstrating the strong alignment of AI adoption and e-commerce growth.
   
• Saudi Arabia is the fastest-growing AI in sales market in MEA, driven by government initiatives, increasing digital penetration, and a fast-growing e-commerce ecosystem. Firms are adopting AI tools to better sales performance, improve customer targeting, and automate workflows, allowing the traditional and digital channels to grow swiftly. There is noticeably stronger adoption of generative AI, conversational commerce, and predictive analytics, driven by the country’s efforts of moving into digital transformation and innovation at scale.
   

AI in Sales Market Share

The top 7 companies in the market are Oracle, SAP, Salesforce, HubSpot, Alphabet, IBM, and Microsoft. These companies hold around 34% of the market share in 2024.
 

• Oracle is well positioned to leverage its solid base in enterprise software and cloud services to enhance AI sales capabilities that have access to its CX and ERP software. Its strength lies in its comprehensive data management and analytics to allow businesses to leverage predictive analysis for leads scoring, pipeline optimization, and revenue forecasting.
   
• SAP combines its presence as a top ERP leader with its capabilities in AI to offer intelligent sales solutions within its CX software solutions. Its model emphasizes the connection of sales to other business functions, which enables predictive forecasting, automated opportunity management, and unique customer engagement.
   
• Salesforce is viewed as the top leader in CRM and its Einstein platform imbeds AI powered capabilities at the core of sales innovation. AI offers predictive lead scoring, custom recommendations, conversational intelligence, and workflow automation, all within its CRM offering. Salesforce's core strength has been its ability to imbeds AI capabilities into everyday sales activity to help enable team members to create intelligence-use opportunities.
   
• HubSpot has secured a strong position within small and medium businesses with relative low-cost, simplicity of use AI driven sales and marketing capabilities. The organization's AI tools are personalization engines, conversational bots, and workflow automation, to help identify the needs of compositionally focused businesses.
   
• Alphabet, using the assets of Google Cloud and its supremacy in AI research and development, is pushing the boundaries of machine learning, advanced analytics, and conversational AI into sales functions. Using these solutions, any business is capable of driving customer engagements and optimizing campaign success.
   
• IBM is distinguished by the focus of its Watson platform on advanced analytics, conversational intelligence, and enterprise-grade AI solutions for complex selling operations. As part of its value proposition, the company promotes trust, transparency, and ethical AI that appeal to businesses that must maintain compliance, such as finance and healthcare.
   

Microsoft is leveraging its breadth of the ecosystem, including Azure AI, Dynamics 365, and Office productivity apps, to develop end-to-end AI-native solutions for sales. These AI capabilities include predictive insights, conversation intelligence, and advanced forecasting, as true add-ons into Dynamics 365 Sales. Microsoft relies on by embedding AI into usability focused productivity applications familiar to most users, i.e. Teams and Outlook, to ensure adoption and enterprise-grade scalability.
 

AI in Sales Market Companies

Major players operating in the AI in sales industry include:

• Adobe
• Alphabet
• Amazon Web Services
• HubSpot
• IBM
• Microsoft
• Nvidia
• Oracle
• Salesforce
• SAP

In the AI in sales market, many corporate technology giants including Microsoft, Oracle, SAP, Salesforce, HubSpot, Alphabet, and IBM have each employed their strengths to establish themselves as leaders in the online sales and marketing space. Other established enterprise software companies, such as Oracle and SAP, prioritize embedding AI into their already comprehensive enterprise resource planning (ERP) and customer relationship management (CRM) applications, which large organizations trust to manage day-to-day business operations and information.

Salesforce's Einstein continues to dominate the market by integrating predictive analytics and automation into the current most installed CRM application on the planet. With Dynamics 365 Sales and Azure AI applications, Microsoft has bolstered its position through the backing of Open AI and democratized access to AI through its use of very popular productivity applications, such as Teams and Outlook.

Similarly, customer-centric applications, such as HubSpot, are forging their own path and competition by leveraging their own unique value propositions to primarily target small and medium businesses to access affordable and easy to use AI applications. This type of organization is democratizing pricing in AI by providing lightweight, automated applications by way of tools that enable personalization, lead management, conversation engagement, and other ways to use AI for business.

 Conversely, IBM may take a different approach to offering AI in sales by creating ethical, enterprise scale, industry or sector-specific deployments to target highly regulated industries such as finance and healthcare, positioning itself for a different segment of the marketplace. Overall, the inter-space competition is vigorous and between traditional providers and innovative challengers based on features in ability to scale a vendor specific offering, compete on price, introduce innovative capabilities ahead of competitors, and more importantly trust in data privacy.
 

AI in Sales Industry News

• September 2025, HubSpot INBOUND announced, Qualified is launching Piper for HubSpot. It is a prominent AI SDR agent for HubSpot Marketing Hub. With the integration of this tool, HubSpot customers leverage the newfound power of agentic marketing and use Piper the AI SDR Agent to autonomously convert their hard-won inbound leads into pipeline.
   
• September 2025, Amazon is rolling out new innovative tools using AI for sellers at launch with less inventory while maintaining fast velocities, enhance asynchronous product reviews, and refined storytelling will lower cost lift sales and drive quick accurate signals of new product success through their product journeys for all sellers, from small business to brands.
   
• September 2025, SmartMoving announced the launch of Smart Scout and Smart Marketing. These new features will help movers capture more leads, convert faster, and increase revenue without adding to the headcount or managing separate tool integrations. SmartMoving will give movers a full sales and marketing engine running while they are working.
   
• In May 2025, IBM announced expansion to its enterprise AI strategy leveraging hybrid cloud capabilities allowing AI workloads to be seamlessly integrated, orchestrated, and managed across hybrid environments. The company expanded support for high-performance GPU infrastructure on IBM Cloud, including AMD Instinct and NVIDIA accelerators, to help optimize computing-intensive AI applications.
   

The AI in sales market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue ($Bn) from 2021 to 2034, for the following segments:

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• Market, By Solution
  • Lead scoring & qualification
    • Predictive lead scoring models
    • Lead quality assessment systems
    • Prospect prioritization algorithms
    • Lead routing & assignment
    • Qualification automation tools
  • Sales forecasting & analytics
    • Revenue forecasting models
    • Pipeline analytics & prediction
    • Deal probability assessment
    • Sales performance analytics
    • Market trend analysis
  • Conversation intelligence
    • Sales call analysis & transcription
    • Customer sentiment analysis
    • Talk time & engagement metrics
    • Competitive mention detection
    • Objection handling analysis
  • Customer segmentation & targeting
  • Sales coaching & performance management
  • Chatbots & virtual sales assistants
  • Email & outreach automation
• Market, By Deployment Mode
  • On-Premises
  • Cloud
  • Hybrid
• Market, By Technology
  • Machine Learning (ML)
  • Natural Language Processing
  • Computer Vision
  • Generative AI Solutions
  • Others
• Market, By Applications
  • Sentiment Analysis
  • Predictive Forecasting
  • Call Summaries & Exploration
  • Guided Selling & Reporting
  • Conversation Mining
  • Pricing & Quotation Optimization
  • Others
• Market, By End Use
  • Banking, Financial Services & Insurance (BFSI)
  • Healthcare & Life Sciences
  • Retail & e-commerce
  • Media & Entertainment
  • Manufacturing & Industrial
  • Others

The above information is provided for the following regions and countries:

• North America
  • US
  • Canada
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Belgium
  • Netherlands
  • Sweden
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • Singapore
  • South Korea
  • Vietnam
  • Indonesia
• Latin America
  • Brazil
  • Mexico
  • Argentina
• MEA
  • South Africa
  • Saudi Arabia
  • UAE