The global enterprise artificial intelligence (AI) market was worth USD 20.90 billion in 2023. The global market is predicted to reach USD 28.42 billion in 2024 and USD 332.61 billion by 2032, growing at a CAGR of 36% during the forecast period.
As of now enterprise artificial intelligence industry is sailing through the complications of sustainability, multi-cloud optimisation and AI, and at the same time is also focusing on the significance of retaining skilful employees in a competitive market. Moreover, industry players are also emphasizing lowering costs, improving data protection, and encouraging a strong, which is aiming for an enduring and healthy ecosystem in the coming years.
According to a 2024 survey, around 42 per cent of enterprise-scale companies or organizations having more than 1000 employees have actively employed AI in their business, fuelling the market growth rate. Also, an extra 40 per cent are presently searching or testing with AI but have not implemented their versions. On the other hand, 59 per cent of those market players studied already investigating or implementing AI and are reporting that they have expedited their investment in the technology. Additionally, the market is witnessing rapid growth in India due to progressive adoption and a thriving service sector.
This is due to its ability to handle immense datasets and ensure effective data management. The main areas in data management to emphasize. Today, the analytics and AI market has been democratised by enterprise AI. In the past, application developers required data scientists for model modifications, however now, large language models (LLMs) can be employed directly to company frameworks, producing superior fidelity results customised to particular use cases.
Another factor propelling the market growth rate is the increasing adoption of digital technologies in all kinds of companies. Furthermore, the manufacturing sector has witnessed huge advancement as a consequence of new technologies involving digital manufacturing, industrial Internet of things (IIOT), self-driving cars, industrial robots, edge computing, augmented and virtual reality (AR/VR), and industrial robots. These solutions help in improving the customisation, flexibility, and nimbleness of manufacturing processes. Besides this, the growth of trustworthy cloud computing facilities, ecosystems, breakthroughs in powerful AI solutions for preventative or special upkeep, customer behavior study, and the recognition of fraud and risks are facilitating market growth a considerable push.
The growth of the enterprise artificial intelligence (AI) market is slowed down by the lack of competence and skills in this domain along with ethical issues. As per research, about 33 per cent of companies consider the restricted AI skills and expertise as the top barriers hindering its deployment, followed by too many data complications accounting for 25 per cent and then by ethical concerns at 23 per cent. Moreover, extreme difficulty in incorporating and scaling AI projects (23 per cent), exorbitant prices (21 per cent) and the absence of tools or resources for the development of AI models are other sets of obstacles hampering the market expansion.
Generative AI present multiple challenges to entry from conventional or standard AI models, decreasing the market growth rate. A survey of IT professionals at participating companies not probing or deploying generative AI found that 57 per cent consider data privacy and 43 per cent said transparency is the biggest impediment to this. Also, the companies in the market are facing greater problems due to the lack of competence and skills for implementation. Around 35 per cent report that the absence of skills for deployment is a significant barrier. Besides this, the requirement for government and trustworthy AI is realized by IT professionals, yet hurdles are making its implementation tough for the surveyed organisations.
The enterprise artificial (AI) market is expected to grow further due to the generative AI and its other innovative applications escalating focus on increased automation, enhanced prediction, personalization at scale, and advanced image and speech recognition. AI algorithms will be more proficient at forecasting industry trends, consumer preferences and business threats. This will build more reliable AI predictions which will allow companies to make more proactive and informed decisions. In addition, various industries are aiming to achieve higher productivity and level of automation, so, upcoming enterprise AI will probably extend its limits, managing highly complicated jobs with the least human mediation.
REPORT METRIC |
DETAILS |
Market Size Available |
2023 to 2032 |
Base Year |
2023 |
Forecast Period |
2024 to 2032 |
CAGR |
36% |
Segments Covered |
By Technology, Capabilities, Use Cases, Function, Industry, and Region |
Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
Market Leaders Profiled |
Amazon Web Services, Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, Intel Corporation, Alphabet Inc., SAP SE, ai, Inc., DataRobot, Inc., Hewlett Packard Enterprise Development LP, Wipro Limited, and NVidia Corporation |
The Natural Language Processing (NLP) segment is projected to command the enterprise artificial intelligence market. The increase in company adoption of digital support services and greater investments in this technology by various sector verticals are both elements adding to the expansion of this segment’s market share. The demand for NLP technology among organizations is also has been influenced by the ability to deliver and pull out the intention from a document in a readable, grammatically precise, and stylistically organic way.
The robotic process automation segment is expected to be the most demanding capability in the enterprise artificial (AI) market during the forecast period. Companies are progressively capitalizing on Robotic Process Automation (RPA) to automate monotonous and time-consuming jobs, freeing up their personnel or professionals to emphasize more tactical and value-added operations. Moreover, the segment’s market share is also surging because of its productivity and efficiency, quality and accuracy, cost saving, scalability, compliance, and customer satisfaction. Apart from these advantages, RPA can also be incorporated with other technologies, like machine learning, to build even highly state-of-the-art automation solutions.
The service operation optimisation segment captured a notable portion of the enterprise artificial intelligence (AI) market. As per a survey, 24 per cent of organisations look at service operation optimisation as the leading usage scenario. AI is also empowering organisations to propel topline growth. Moreover, AI adoption is rising, especially in service operations optimization, contract-center optimization, and product improvements. It assists market players in enhancing their sales and promotion operations and development of products and services and augments higher revenue.
The marketers segment is at the forefront of adoption and gained more than 50 per cent market share of the enterprise artificial intelligence (AI) industry. This category is one of the factors driving the topline growth. The segment has significantly contributed to lead generation, assistance to the sales team and personalised recommendations which is fueling its market share. According to industry experts, the application of AI by top wealth advisors to customise investment plans or propositions for their clients is executed in under 45 minutes. This has aided the sales team gain more time and give an output of not less than 5 to 6 more calls every day on average. AI can assist the marketing team in individualising content and contact to intensify engagement based on customer’s preferences.
The IT & telecom industry remained in the first position in the enterprise artificial (AI) market. Telecom AI usages in telecom exhibit tangible advantages, with 73 per cent of market players experiencing elevated revenue via AI-powered telecom services network efficiency improvement, 80 per cent noticing lower expenses in consumer service with AI-driven chatbots and digital assistants, and a significant 90per cent success rate in live fraud discovery and identification utilising AI.
North America enterprise artificial intelligence (AI) market and is expected to achieve higher CAGR throughout the estimation period. The United States is dominating the regional industry with an AI adoption rate of 45 per cent. The US continues to be a focal point for technology innovation and constitutes various global tech titans. However, its varied business ecosystem exhibits that AI adoption differs broadly over various industries. Still, the change in the market in the country is largely led by the Silicon Valley. Hence, the future of AI in the nation appears more promising than ever.
Asia Pacific is one of fastest fastest-growing enterprise artificial (AI) market worldwide. With India leading the regional industry, it is expected to attain further market share during the forecast period. According to a 2023 survey, India is spearheading among the top four countries, including Australia, the United States, and the United Kingdom, with an astonishing adoption rate of AI at 73 percent. Considering the nation's thriving IT sector and digital-savvy young professionals. India's expanding start-up environment influences this increase, ultimately benefiting the Asia Pacific’s market size.
Europe is also making major strides in the enterprise artificial intelligence (AI) market with the formation of the foremost AI act in the world. The United Kingdom holds the maximum market share of the regional industry. At 29 per cent, the UK may look to be a bit traditionalist in its enthusiasm for AI. However, it's crucial to observe that this country has been a deep technology study and innovation center. A slower adoption rate depicts careful integration. The nation is ensuring that its AI deployments are accurate, tactical, and efficient.
By Technology
By Capabilities
By Use Cases
By Function
By Industry
By Region
Frequently Asked Questions
Key drivers include the increasing volume of data generated by enterprises, advancements in AI technologies, the need for operational efficiency, rising adoption of AI for predictive analytics, and the growing demand for personalized customer experiences. Additionally, the expansion of cloud computing and the integration of AI with Internet of Things (IoT) devices are also contributing to market growth.
Key application areas include customer service (through chatbots and virtual assistants), predictive maintenance, fraud detection, supply chain optimization, human resources (such as talent acquisition and employee engagement), and marketing (personalization and customer insights).
AI enhances enterprise operations by automating routine tasks, providing actionable insights through data analysis, improving decision-making processes, reducing operational costs, and enabling more personalized customer interactions. It can also enhance productivity and efficiency by streamlining workflows and optimizing resource allocation.
The future outlook is positive, with continued strong growth expected. The market is anticipated to expand as more enterprises adopt AI technologies, driven by ongoing advancements and the increasing need for digital transformation. AI is expected to become an integral part of business strategies, driving innovation and competitive advantage across various industries.
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