Through market attractiveness analysis, total addressable market evaluation, company benchmarking matrices, interactive Excel dashboards, expanded supply chain intelligence, emerging startup coverage, and detailed product insights, The Business Research Company’s 2026 market reports provide more actionable and strategically valuable research.
Artificial Intelligence (AI) And Machine Learning (ML) In Business Market Revenue Growth Supported By A CAGR Of 1152.8% Through 2030
The artificial intelligence (AI) and machine learning (ML) in business market size has experienced remarkable growth over recent years. It is projected to expand from $330.95 billion in 2025 to $425.48 billion by 2026, with a compound annual growth rate (CAGR) of 28.6%. This historical expansion is primarily due to factors like the increasing enterprise adoption of data analytics, the growth in digital transformation initiatives, a heightened need for process automation, the expanding availability of big data, and increased investment in AI-driven business tools.
The artificial intelligence (AI) and machine learning (ML) in business market is projected to experience substantial expansion in the upcoming years. It is expected to reach a value of $1152.80 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 28.3%. This expansion during the forecast period is fueled by an escalating need for intelligent decision-making, increased integration of AI across various business workflows, a rise in the application of predictive analytics in operations, the broadening deployment of cloud-based AI solutions, and an intensified focus on optimizing enterprise productivity. Significant developments anticipated during this timeframe include advancements in generative AI for business applications, innovations in automated decision-support systems, progress in multimodal AI and analytics platforms, research and development efforts into scalable machine learning models, and breakthroughs in real-time AI-driven automation.
Download A Free Sample Report For Comprehensive Market Insights:
Artificial Intelligence (AI) And Machine Learning (ML) In Business Market Expansion Drivers: What Is Shaping Future Growth?
The increasing use of cloud computing platforms is projected to fuel the expansion of the artificial intelligence (AI) and machine learning (ML) in business market moving forward. These platforms are centralized, internet-based computing environments that offer on-demand access to scalable infrastructure, software, data storage, and analytics for remote deployment and management of applications and services. Cloud platforms are gaining traction as they allow organizations to scale computing resources flexibly without requiring substantial upfront capital investment, thus facilitating quicker deployment, reduced IT costs, and greater operational flexibility. Cloud computing platforms further stimulate the demand for artificial intelligence (AI) and machine learning (ML) in business by supplying the necessary scalable, on-demand computing power and data infrastructure. This enables organizations to efficiently deploy, train, and operationalize AI-driven analytics, automation, and decision-making solutions across various enterprise functions. For example, in September 2025, Eurostat, a Luxembourg-based statistical office, reported that 45% of businesses in the EU purchased cloud computing services in 2023. Large businesses demonstrated a higher likelihood of choosing cloud solutions compared to SMEs. In 2023, 78% of large businesses acquired cloud services, while 44% of SMEs did so. Therefore, the growing embrace of cloud computing platforms is a key driver for the growth of the artificial intelligence (AI) and machine learning (ML) in business market.
Artificial Intelligence (AI) And Machine Learning (ML) In Business Market Segments: Where Are The Largest Growth Opportunities?
The artificial intelligence (AI) and machine learning (ml) in business market covered in this report is segmented –
1) By Component: Solutions, Services
2) By Sector: Large Enterprises, Small and Medium-Sized Enterprises (SMEs)
3) By Application: Data Analytics, Predictive Analytics, Cyber Security, Supply Chain and Inventory Management, Other Applications
4) By End-User: Information Technology (IT) and Telecom, Banking, Financial Services, and Insurance (BFSI), Retail and Manufacturing, Healthcare, Other End-Users
Subsegments:
1) By Solutions: Artificial Intelligence Software Platforms, Machine Learning Platforms, Intelligent Business Applications, Data Management and Integration Tools, Automation and Workflow Optimization Tools
2) By Services: Consulting Services, Deployment and Integration Services, Training and Support Services, Managed Artificial Intelligence Services, Data Engineering and Model Development Services
Artificial Intelligence (AI) And Machine Learning (ML) In Business Market Trends: What Is Shaping Future Industry Growth?
Major companies operating in the artificial intelligence (AI) and machine learning (ML) in business sector are focusing on developing generative CRM assistants designed to produce customer messages, summaries, and recommendations through the integration of internal customer data with external foundation models. These generative CRM assistants are AI-powered tools embedded within customer relationship management systems that utilize generative models and enterprise customer data to autonomously create tailored communications, insights, and recommendations, thereby supporting sales, marketing, and customer service activities. For example, in March 2023, Salesforce, a US-based cloud software company, unveiled Einstein GPT. This offering delivers generative content across sales, service, and marketing functions, enables data cloud integration for real-time signals, and provides trust-layer controls to manage data provenance and governance.
Artificial Intelligence (AI) And Machine Learning (ML) In Business Market Major Participants And Competitive Dynamics
Major companies operating in the artificial intelligence (AI) and machine learning (ml) in business market are Amazon.com Inc., Google LLC, Microsoft Corporation, Meta Platforms Inc., International Business Machines Corporation (IBM), NVIDIA Corporation, Oracle Corporation, Salesforce Inc., SAP SE, OpenAI LLC, Databricks Inc., SAS Institute Inc., Snowflake Inc., UiPath Inc., DataRobot Inc., C3.ai Inc., Anthropic PBC, Cohere Inc., H2O.ai Inc., Hugging Face Inc.
Access The Complete Artificial Intelligence (AI) And Machine Learning (ML) In Business Market Report:
Artificial Intelligence (AI) And Machine Learning (ML) In Business Market Geographic Analysis: Where Is Demand Growing The Fastest?
North America was the largest region in the artificial intelligence (AI) and machine learning (ML) in business market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) and machine learning (ml) in business market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Get in touch with us:
The Business Research Company: https://www.thebusinessresearchcompany.com/
Americas: +1 310-496-7795
Asia: +44 7882 955267 & +91 8897263534
Europe: +44 7882 955267
Email us at: marketing@tbrc.info
Follow us on:
LinkedIn: https://in.linkedin.com/company/the-business-research-company
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ
Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model

Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
