Global AI Consulting Services Market Outlook (2023 to 2033)

The global AI consulting services market is expected to reach a market valuation of US$ 525.65 billion by the end of the year 2023, rising at a CAGR of 4.3% over the forecast period (2023 to 2033). With the advancement of technologies and the demand for internet services to grow the market, the AI consulting service market is experiencing rapid growth.

With businesses leveraging AI to improve their operations and competitiveness, AI consulting services are expected to grow in demand. Services offered by AI consulting companies range from the creation of AI strategies to the implementation and support of AI solutions.

The market is supported by:

  • Increased investments in modern technologies
  • Product development initiatives supported by the government
  • Consulting services using artificial intelligence can help businesses make better decisions by analyzing large amounts of data quickly.
  • With AI consulting services, better planning and forecasting can be achieved by gaining predictive insights.
  • Complex problems can be addressed efficiently and cost-effectively through AI consulting services.
  • Time and resources can be saved by using AI consulting services.
  • Automating repetitive tasks and increasing productivity can be achieved with AI consulting services.
  • AI consulting services can help businesses stay on top of the competition and keep up with the latest developments

More companies are expected to enter the AI consulting services market and existing players will expand their product offerings in the coming years. Consumers are demanding more innovative and advanced technologies from companies operating in the market. Small boutique firms and large multinational companies provide AI consulting services in North America. AI consulting services are primarily offered in North America and Europe, as these regions have a large number of companies providing automation consulting and digital transformation strategy formulation services.

Computer programs that replicate human intelligence perform tasks and analyze data. Using artificial intelligence and machine learning models, the analysis of unique datasets and the completion of specific tasks requires algorithms and collected data. To meet their overall business goals, businesses are increasingly focusing on developing AI strategies. Businesses can benefit from personalized AI consulting services that can assist them in developing strategies that are suited to their specific needs, as well as identifying the AI solutions best suited to their needs.

To gain a greater share of the AI consulting service market, key producers are committed to manufacturing the service. Some of these companies include IBM, Google, Salesforce.com, Chatbots. Studio, Accenture, Centric Consulting, Opex Analytics Inc., Adastra, ADDO AI, AIBRIDGE, Sofbang LLC., Eigen Innovations, and among others.

For instance, Schneider Electric revealed new details about providing off-the-shelf products for specific needs and advising customers on advanced AI technologies. By combining the expertise of Schneider Electric's 200+ artificial intelligence experts with its AI Consulting Services domain expertise, the central AI Hub will help customers unlock new capabilities for capturing insights, predicting, simulating, and making more agile decisions.

The experts in artificial intelligence and data science possess the skills and experience needed when developing AI applications for automation, electrification, and decarbonization. As part of the program, various companies provide a wide range of services, including alarm management, microgrid management, enhanced HVAC performance, charging management for electric vehicles, smart charging, facility management, automation, energy efficiency, and optimization of gH2 flow.

For instance, Yokogawa Electric Corporation has introduced reinforcement learning services for its edge controllers. Using the Factorial Kernel Dynamic Policy Programming (FKDPP) reinforcement learning AI algorithm, the autonomous control service has been optimized to operate with OpreX Realtime OS-based Machine Controllers (e-RT3 Plus). Additional consulting and training options are also available, depending on the needs of the end user. The software will be released globally, with consulting and training programs initially provided in Japan.

Data Points Key Statistics
Estimated Base Year Value (2022) US$ 510 billion
Expected Market Value (2023) US$ 525.65 billion
Anticipated Forecast Value (2033) US$ 801 billion
Projected Growth Rate (2023 to 2033) 4.3% CAGR

Artificial Intelligence (AI) consulting services are multi- layered technical services that help enterprises enhance their business operations via implementing analytical processing and Machine Learning (ML) capabilities.

AI consulting services leverage Big Data accumulated from various IoT and IT related tools and devices. The information fed into the platform is used to formulate operational strategies and facilitates commercial diligence. AI consulting services also ensure proper implementation of initiatives and strategies.

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AI Consulting Services: Market Dynamics

Enterprise-grade IT operations are surpassing human scale. Traditional approach towards monitoring and tackling IT challenges is not enough in today’s dynamic IT environments. Manual Identification and management of such complexities lacks the much needed efficiency.

IT infrastructure exceeding human scale is the primary factor driving the adoption of AI consulting services in the global landscape. Volume of information that an IT infrastructure is required to process and archive is rising at a noteworthy pace.

Performance monitoring and management operations are giving out a larger number of alerts and notifications. Volume of tickets raised is experiencing considerable increase with introduction of Application Programming Interfaces (APIs), Internet of Things (IoT) devices, and solution mobility applications.

This factor makes manual reporting and analysis intensely complicated, thus increasing the demand for AI consulting services.Infrastructure related challenges demand immediate escalation. Technological consumerization has raised user expectations in every end-use industry.

IT infrastructure related events, notifications and alerts demand immediate attention, especially in cases where such issues affect user experience. AI consulting services possess great potential to cater to this demand. This in turn enhances their attractiveness in the market.

AI Consulting Services Market: Competition Landscape

Some of the major players in the global AI consulting services market are

  • IBM
  • Google
  • Salesforce.com
  • Chatbots.Studio
  • Accenture
  • Centric Consulting
  • Opex Analytics Inc
  • Adastra
  • ADDO AI
  • AIBRIDGE
  • Sofbang LLC
  • Eigen Innovations

Following are recent key developments in global AI consulting services market:

  • In April 2020 Atos SE acquired Miner & Kasch (now ATOS zData) a provider of AI consulting services and data science. With this acquisition Atos SE accelerated the deployment of its data science services.
  • In December 2019 Accenture announced the acquisition of Clarity Insights a Chicago-based provider of machine learning and AI services for end-users operating in healthcare and BFSI industries. With this acquisition Accenture strengthened its portfolio to cater to the rising demand for data science emanating from the healthcare industry.
Sudip Saha
Sudip Saha

Principal Consultant

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AI Consulting Services Market: Regional overview

AI consulting services have not yet gained traction on a global level. Among all the regional markets AI consulting services market in North America currently dominates the global landscape. Markets for AI consulting services in Europe and South Asia Pacific are projected to offer most attractive opportunities for solution providers.

AI consulting services market in the United States is expected to dominate the global landscape in terms of revenue from sales over the forecast period. Markets for AI consulting services in Brazil GCC Countries and India are estimated to record strong growth rates over the forecast period. The accelerated adoption may be attributed to constant advancements in IT sector in these countries.

The AI consulting services market report is a compilation of first-hand information qualitative and quantitative assessment by industry analysts and inputs from industry experts and industry participants across the value chain.

The report provides in-depth analysis of parent market trends macro-economic indicators and governing factors along with market attractiveness as per segment. The market report also maps the qualitative impact of various market factors on market segments and geographies.

The report covers exhaustive analysis on

  • AI Consulting Services Market Segments
  • AI Consulting Services Market Dynamics
  • AI Consulting Services Market Size
  • Supply and Demand
  • Current Trends/Issues/Challenges
  • Competition and Companies Involved in the Market
  • Technology Landscape
  • Value Chain of the Market
  • Market Drivers and Restraints

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Regional analysis includes

  • North America (USA, Canada)
  • Latin America (Mexico Brazil Rest of Latin America)
  • Europe (Germany Italy United Kingdom Spain France Nordic countries BENELUX Rest of Europe)
  • East Asia (China Japan South Korea)
  • South Asia & Pacific (India ASEAN Australia and New Zealand Rest of South Asia)
  • Middle East and Africa (GCC Countries Turkey Northern Africa South Africa Rest of MEA)

AI Consulting Services Market: Segmentation

The global AI Consulting Services market can been segmented on the basis of use case, enterprise size and vertical.

By Use Case:

  • Automation Consulting
  • Analytics Consulting
  • Digital Transformation Strategy Formulation
  • Others

By Enterprise Size:

  • Small- and Medium-sized Enterprises (SMEs)
  • Large Enterprises

By Vertical:

  • BFSI
  • E-commerce
  • Government
  • Healthcare
  • Telecommunication
  • Others
Table of Content
  • 1. Executive Summary
  • 2. Industry Introduction, including Taxonomy and Market Definition
  • 3. Market Trends and Success Factors, including Macro-economic Factors, Market Dynamics, and Recent Industry Developments
  • 4. Global Market Demand Analysis and Forecast, including Historical Analysis and Future Projections
  • 5. Pricing Analysis
  • 6. Global Market Analysis and Forecast
    • 6.1. By Use Case
    • 6.2. By Enterprise Size
    • 6.3. By Vertical
  • 7. Global Market Analysis and Forecast, By Use Case
    • 7.1. Automation Consulting
    • 7.2. Analytics Consulting
    • 7.3. Digital Transformation Strategy Formulation
    • 7.4. Others
  • 8. Global Market Analysis and Forecast, By Enterprise Size
    • 8.1. Small- and Medium-sized Enterprises (SMEs)
    • 8.2. Large Enterprises
  • 9. Global Market Analysis and Forecast, By Vertical
    • 9.1. BFSI
    • 9.2. E-commerce
    • 9.3. Government
    • 9.4. Healthcare
    • 9.5. Telecommunication
    • 9.6. Others
  • 10. Global Market Analysis and Forecast, By Region
    • 10.1. North America
    • 10.2. Latin America
    • 10.3. Europe
    • 10.4. East Asia
    • 10.5. South Asia & Pacific
    • 10.6. Middle East and Africa
  • 11. North America Sales Analysis and Forecast, by Key Segments and Countries
  • 12. Latin America Sales Analysis and Forecast, by Key Segments and Countries
  • 13. Europe Sales Analysis and Forecast, by Key Segments and Countries
  • 14. East Asia Sales Analysis and Forecast, by Key Segments and Countries
  • 15. South Asia & Pacific Sales Analysis and Forecast, by Key Segments and Countries
  • 16. Middle East and Africa Sales Analysis and Forecast, by Key Segments and Countries
  • 17. Sales Forecast by Use Case, Enterprise Size, and Vertical for 30 Countries
  • 18. Competition Outlook, including Market Structure Analysis, Company Share Analysis by Key Players, and Competition Dashboard
  • 19. Company Profile
    • 19.1. IBM
    • 19.2. Google
    • 19.3. Salesforce.com
    • 19.4. Chatbots.Studio
    • 19.5. Accenture
    • 19.6. Centric Consulting
    • 19.7. Opex Analytics Inc
    • 19.8. Adastra
    • 19.9. ADDO AI
    • 19.10. AIBRIDGE
    • 19.11. Sofbang LLC
    • 19.12. Eigen Innovations
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