Global Artificial Intelligence (AI) Consulting Market Growth (Status and Outlook) 2026-2032

The global Artificial Intelligence (AI) Consulting market size is predicted to grow from US$ 10303 million in 2025 to US$ 31190 million in 2032; it is expected to grow at a CAGR of 17.0% from 2026 to 2032.

Artificial Intelligence (AI) Consulting refers to a comprehensive professional service system provided by consulting firms or technology service providers to enterprises, governments, and various organizations. This system encompasses the entire process of AI technology strategic planning, solution design, implementation, and optimization iteration. Its core objective is to help clients overcome the barriers to integrating AI technology with their business scenarios. Through customized AI solutions, clients can improve operational efficiency, create business value, and build core competitiveness, while mitigating issues such as incorrect technology selection, data security risks, and imbalances in return on investment. AI consulting is characterized by deep integration of technology and business, customized adaptation, full lifecycle empowerment, and controllable risks, making it a key support for driving digital transformation and intelligent upgrading across various industries.

Driven by multiple factors including the accelerated global transformation of enterprises towards intelligent manufacturing, the explosive growth of generative AI technology, increasingly stringent regulatory policies, and deepening vertical industry demands, the AI ​​Consulting industry is evolving towards deeper empowerment of vertical industries, restructuring of generative AI services, proactive compliance and ethics, and integrated technology and business. Market competition is shifting from "general technical consulting" to a comprehensive contest of capabilities encompassing "industry-customized solutions + long-term value operation."

On one hand, it provides end-to-end consulting for the implementation of generative AI, including enterprise-level large-scale model selection (open source/closed source), private deployment solution design, data governance and model fine-tuning strategies, and computing resource planning, helping enterprises avoid the "computing power trap" and "below-expected results" risks associated with large-scale model investment. On the other hand, it focuses on the value realization of generative AI, designing application scenarios that "reduce costs and increase revenue" for enterprises, such as building internal intelligent knowledge bases, upgrading customer service chatbots, automating marketing content generation, and intelligent writing of R&D documents. The consulting value is demonstrated through quantifiable business indicators (such as the percentage increase in customer service efficiency and the reduction in content production cycle time).

LPI (LP Information)' newest research report, the “Artificial Intelligence (AI) Consulting Industry Forecast” looks at past sales and reviews total world Artificial Intelligence (AI) Consulting sales in 2025, providing a comprehensive analysis by region and market sector of projected Artificial Intelligence (AI) Consulting sales for 2026 through 2032. With Artificial Intelligence (AI) Consulting sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Artificial Intelligence (AI) Consulting industry.

This Insight Report provides a comprehensive analysis of the global Artificial Intelligence (AI) Consulting landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Artificial Intelligence (AI) Consulting portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Artificial Intelligence (AI) Consulting market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Artificial Intelligence (AI) Consulting and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Artificial Intelligence (AI) Consulting.

This report presents a comprehensive overview, market shares, and growth opportunities of Artificial Intelligence (AI) Consulting market by product type, application, key players and key regions and countries.

Segmentation by Type:

Strategy Development

Strategy Execution

Commercial Due Diligence

Customer Training

Segmentation by Service Phase:

Strategic Planning

Solution Design

Project Implementation

Operations and Maintenance Optimization

Others

Segmentation by Technology:

Technical Consulting

Management Consulting

Segmentation by Application:

SMEs

Large Enterprises

This report also splits the market by region:

Americas

United States

Canada

Mexico

Brazil

APAC

China

Japan

Korea

Southeast Asia

India

Australia

Europe

Germany

France

UK

Italy

Russia

Middle East & Africa

Egypt

South Africa

Israel

Turkey

GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.

IBM

Mckinsey & Company

Boston Consulting Group (BCG)

Bain Global

Google

Protiviti

Brainpool

Tryolabs

PA Consulting

FTI Consulting

WildFire

Deloitte

Accenture

PwC (PricewaterhouseCoopers)

Capgemini

Cognizant

KPMG

Ernst & Young (EY)

Wipro

Infosys

Tata Consultancy Services (TCS)

HCL Technologies

Booz Allen Hamilton

Wipro Holmes

DXC Technology

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