The businesses and enterprise artificial intelligence (AI) market size is expected to see strong growth in the next few years. It will grow to $17.89 billion in 2030 at a compound annual growth rate (CAGR) of 9.4%. The growth in the forecast period can be attributed to increasing adoption of generative AI solutions, rising demand for autonomous business operations, expanding use of AI-powered predictive analytics, growing emphasis on intelligent workflow optimization, and increasing enterprise investment in AI infrastructure. Major trends in the forecast period include increasing adoption of AI-driven business process automation, growing integration of AI-based decision support systems, rising demand for enterprise generative AI applications, expansion of AI-enabled predictive business analytics, and increasing deployment of intelligent virtual assistants.
The increasing enterprise digital transformation initiatives are expected to drive the growth of the businesses and enterprise artificial intelligence (AI) market in the coming years. Enterprise digital transformation refers to the widespread adoption of digital technologies by organizations to fundamentally redesign their operations, processes, and business models. This shift toward enterprise digital transformation is largely driven by rising competitive pressure across industries, as enterprises seek to automate workflows, improve decision-making, and enhance operational efficiency to remain competitive in an increasingly data-driven economy. The growing scale of digital transformation investments is accelerating demand for enterprise AI solutions, as businesses require intelligent systems capable of processing large volumes of data, optimizing processes, and providing real-time insights across departments. For instance, in November 2023, according to a report published by the Central Digital and Data Office, a UK-based government entity, the government’s focus on digital transformation resulted in a 9% increase in the government digital and data profession over the preceding six months, bringing the total number of professionals in this field to 28,337. Therefore, increasing enterprise digital transformation initiatives are driving the growth of the businesses and enterprise artificial intelligence (AI) market.
Major companies operating in the business and enterprise artificial intelligence (AI) market are focusing on developing AI-based business applications and workflows, such as enterprise AI copilots, to improve employee productivity, automate business processes, support decision-making, streamline enterprise workflows, and provide personalized, context-aware assistance across organizations. Enterprise AI copilots are AI-powered assistants that use large language models (LLMs), enterprise data, and business applications to assist employees with tasks, generate insights, and automate workflows through natural language interactions. For instance, in February 2024, Salesforce Inc., a US-based cloud computing and customer relationship management software company, launched Einstein Copilot to improve enterprise productivity, automate CRM workflows, provide context-aware AI assistance, and enable faster, data-driven decision-making by generating trusted responses based on organizational data. Einstein Copilot provides conversational AI responses grounded in an organization's trusted Salesforce data through the Einstein Trust Layer, helping minimize AI hallucinations while maintaining data security.
In November 2025, Salesforce Inc., a US-based cloud-based software company, acquired Informatica Inc. for an undisclosed amount. Through this acquisition, Salesforce strengthened its enterprise AI capabilities by integrating Informatica’s cloud data integration, governance, metadata management, data quality, privacy, and master data management technologies to establish a trusted data foundation for agentic AI and enterprise-wide AI applications. Informatica Inc. is a US-based company that provides enterprise AI capabilities through its CLAIRE AI engine and CLAIRE Copilot, which are embedded within its Intelligent Data Management Cloud (IDMC).
Major companies operating in the businesses and enterprise artificial intelligence (AI) market are Google LLC, Microsoft Corporation, NVIDIA Corporation, Amazon Web Services Inc., IBM Corporation, Cisco Systems Inc., Oracle Corporation, SAP SE, Salesforce Inc., Adobe Inc., ServiceNow Inc., Workday Inc., Anthropic PBC, SAS Institute Inc., Snowflake Inc., Databricks Inc., Palantir Technologies Inc., Pegasystems Inc., UiPath Inc., Box Inc., C3 AI Inc., Dataiku Inc., DataRobot Inc., Cohere Inc., H2O.ai Inc.
North America was the dominant region in the businesses and enterprise artificial intelligence (AI) market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the businesses and enterprise artificial intelligence (AI) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the businesses and enterprise artificial intelligence (AI) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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Table of Contents
Executive Summary
Businesses And Enterprise Artificial Intelligence (AI) Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses businesses and enterprise artificial intelligence (ai) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for businesses and enterprise artificial intelligence (ai)? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The businesses and enterprise artificial intelligence (ai) market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Scope
Markets Covered:
1) By Component: Solution; Services2) By Technology: Machine Learning; Natural Language Processing; Computer Vision; Generative Artificial Intelligence; Robotic Process Automation; Speech Recognition; Other Technologies
3) By Deployment Mode: Cloud; On-Premises
4) By Enterprise Size: Large Enterprises; Small And Medium Sized Enterprises
5) By Industry Vertical: Banking, Financial Services, And Insurance; Healthcare And Life Sciences; Retail And Electronic Commerce; Manufacturing; Information Technology And Telecommunications; Government And Public Sector; Media And Entertainment; Transportation And Logistics; Energy And Utilities; Education; Other Industry Verticals
Subsegments:
1) By Solution: Artificial Intelligence Software Platforms; Machine Learning Solutions; Natural Language Processing Solutions; Computer Vision Solutions; Generative Artificial Intelligence Solutions; Predictive Analytics Solutions; Intelligent Automation Solutions; Virtual Assistant Solutions2) By Services: Consulting Services; Integration And Deployment Services; Training And Education Services; Support And Maintenance Services; Managed Services
Companies Mentioned: Google LLC; Microsoft Corporation; NVIDIA Corporation; Amazon Web Services Inc.; IBM Corporation; Cisco Systems Inc.; Oracle Corporation; SAP SE; Salesforce Inc.; Adobe Inc.; ServiceNow Inc.; Workday Inc.; Anthropic PBC; SAS Institute Inc.; Snowflake Inc.; Databricks Inc.; Palantir Technologies Inc.; Pegasystems Inc.; UiPath Inc.; Box Inc.; C3 AI Inc.; Dataiku Inc.; DataRobot Inc.; Cohere Inc.; H2O.ai Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentations: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
- Google LLC
- Microsoft Corporation
- NVIDIA Corporation
- Amazon Web Services Inc.
- IBM Corporation
- Cisco Systems Inc.
- Oracle Corporation
- SAP SE
- Salesforce Inc.
- Adobe Inc.
- ServiceNow Inc.
- Workday Inc.
- Anthropic PBC
- SAS Institute Inc.
- Snowflake Inc.
- Databricks Inc.
- Palantir Technologies Inc.
- Pegasystems Inc.
- UiPath Inc.
- Box Inc.
- C3 AI Inc.
- Dataiku Inc.
- DataRobot Inc.
- Cohere Inc.
- H2O.ai Inc.

