Artificial Intelligence (AI) in Customer Relationship Management (CRM) Market Report 2024

This Artificial Intelligence (AI) In Customer Relationship Management (CRM) market report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The artificial intelligence (AI) in customer relationship management (CRM) market size has grown exponentially in recent years. It will grow from $5.94 billion in 2023 to $8.09 billion in 2024 at a compound annual growth rate (CAGR) of 36.2%. The growth during the historic period can be attributed to rising customer expectations, the pursuit of cost efficiency, the explosion of data, competitive pressures, and the increased availability of data.

The artificial intelligence (AI) in customer relationship management (CRM) market size is expected to see exponential growth in the next few years. It will grow to $27.93 billion in 2028 at a compound annual growth rate (CAGR) of 36.3%. The anticipated growth during the forecast period can be attributed to the expansion of cloud-based solutions, growing demand for omnichannel engagement, increased investment in AI research and development, the expansion of data sources, and a heightened focus on customer experience. Key trends expected during this period include the adoption of AI-powered chatbots, enhanced personalization, advanced predictive analytics, AI-driven sales automation, and strengthened data privacy and security measures.

The increasing adoption of automation in marketing and sales is projected to drive growth in the artificial intelligence (AI) segment of the customer relationship management (CRM) market. Automation in marketing and sales involves using technology and software to handle repetitive tasks, streamline workflows, and improve efficiency in marketing campaigns and sales activities. This trend is propelled by automation’s ability to manage tasks such as email campaigns and lead scoring, thereby allowing more time for strategic activities. Additionally, automation provides real-time data and analytics, enabling businesses to make informed decisions and quickly adapt their strategies. AI in CRM further enhances personalized customer interactions by automating routine tasks and delivering data-driven insights to optimize campaigns and sales strategies. For example, a survey conducted by the University of Hamburg in September 2023, involving 129 manufacturing and sales leaders, found that 44% of companies are strategically adopting marketing automation. The average level of automation is expected to increase by 3.6%, and 64% of respondents noted that the significance of marketing automation has grown compared to the previous year. Thus, the rise in automation adoption in marketing and sales is expected to boost the AI segment within the CRM market.

Key players in the AI CRM market are concentrating on advancements in customer experience, such as generative AI technology, to improve personalized interactions and automate content creation. Generative AI employs sophisticated algorithms to create personalized customer interactions, automate content generation, and enhance CRM through data-driven insights. For instance, Salesforce Inc., a US-based cloud software company, introduced Einstein GPT in March 2023. This cutting-edge generative AI CRM technology produces AI-generated content across various functions including sales, service, marketing, commerce, and IT. By integrating Salesforce’s proprietary AI models with generative AI from partner ecosystems and real-time data from the Salesforce Data Cloud, Einstein GPT enhances customer experiences. It facilitates seamless connectivity to OpenAI’s advanced models or other external ones, enabling users to generate dynamic content and adjust to changing customer needs in real time.

In May 2024, Cordance Corporation, a US-based technology and software solutions provider, acquired Spiro.ai for an undisclosed sum. This acquisition aims to enhance Cordance's portfolio by integrating Spiro.ai's AI-driven CRM technology, which streamlines sales processes and improves sales team efficiency. Spiro.ai is known for its AI-powered CRM solutions.

Major companies operating in the artificial intelligence (AI) in customer relationship management (crm) market are Microsoft Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, Salesforce Inc., Adobe Inc., Genesys Telecommunications Laboratories Inc., HubSpot Inc., Zendesk Inc., Zoho Corporation Pvt. Ltd., Pegasystems Inc., Freshworks Inc., C3.ai Inc., SugarCRM Inc., Intercom Inc., Pipedrive Inc., Copper Inc., Insightly Inc., Conversica Inc., Streak Inc., Kreato CRM, Spiro Technologies Inc., Nimble Inc., Vtiger Systems, Salesflare Inc.

North America was the largest region in the artificial intelligence (AI) in customer relationship management (CRM) market in 2023. The regions covered in the artificial intelligence (AI) in customer relationship management (crm) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (AI) in customer relationship management (crm) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Artificial intelligence (AI) in customer relationship management (CRM) involves leveraging advanced algorithms and machine learning technologies to enhance and automate various aspects of customer interactions and data management. The goal is to improve customer engagement, streamline processes, and generate actionable insights by analyzing large volumes of customer data.

The primary types of AI used in CRM include machine learning, natural language processing, image and speech recognition, predictive analytics, chatbots, and virtual assistants. In CRM, machine learning involves using algorithms and statistical models to analyze data, make predictions, and optimize customer interactions by learning from past data. The key components, such as software and services, are applied in areas such as sales automation, customer service and support, marketing personalization, customer data analysis, and lead scoring and qualification. AI in CRM is utilized across various industries, including banking, financial services, and insurance (BFSI), retail and e-commerce, information technology (IT) and telecommunications, healthcare, manufacturing, and more.

The artificial intelligence (AI) in customer relationship management (CRM) market research report is one of a series of new reports that provides artificial intelligence (AI) in customer relationship management (CRM) market statistics, including artificial intelligence (AI) in customer relationship management (CRM) industry global market size, regional shares, competitors with an artificial intelligence (AI) in customer relationship management (CRM) market share, detailed artificial intelligence (AI) in customer relationship management (CRM) market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in customer relationship management (CRM) industry. This artificial intelligence (AI) in customer relationship management (CRM) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI) in customer relationship management (CRM) market consists of revenues earned by entities by providing services such as implementation services, customization services, and ongoing support services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in the customer relationship management (CRM) market also includes sales of AI-powered software solutions and platforms, automated sales processes, and personalized marketing tools. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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