The AI Consulting Boom of 2023

The Growth of AI Consulting

The landscape of AI Consulting Services has never been as dynamic as it is now. As organizations across the globe race to take advantage of AI integration, many are turning to AI consultants to help them navigate this new territory.

Today’s Topics

• AI Consultant Leaders

• AI Consultancy Market Division

• AI Consultancy Market Division

• Tools for AI Consultants

Bezinga’s latest report, spanning 114 pages dives into the growth nuances of the AI Consulting Services Market. In 2022, the AI consulting market size was valued at $93472.06 Million.

A critical assessment reveals a growth trajectory that's not just impressive but meteoric, slated to reach USD 630611.25 Million in 2030, with a CAGR of 37.46% during 2023-2030. You can get a sample of the report here.

AI Consultant Leaders

So who’s leading the pack in the world of AI consulting? Let’s take a look:

AI Consultancy Market Division

So how does one fit their AI consultancy services into the growing landscape?

The emergent trends cover sectors like BFSI, E-commerce, Government, Healthcare and Telecommunication, among others. The application of AI consultancy can be said to fall under two categories - management consulting and technology consulting.

The types of consulting involved are:

• Strategy Development

• Strategy Execution

• Commercial Due Diligence

• Customer Training

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How To Stand Out

To benefit from this emerging market, AI consultants must do what it takes to set themselves apart from competitors in their target markets. Here are the main areas to lock down:

• Conduct proper market research and competitor research

• Identify the right potential clients and industries

• Future-proof your business with a sustainable financial plan

• A proper sales and marketing strategy

• Airtight value proposition

• Having a team of experts that covers all vital areas

Tools for AI Consultants

It’s one thing to make and manage AI tools for clients but an agency needs other tools to ensure that everything runs smoothly. The following tools help agencies quickly develop robust, practical solutions with LLMs and custom datasets:

1. LangChain - Python framework for developing applications powered by large language models.

2. LlamaIndex - Data framework for connecting custom data sources to LLMs

3. Stack-AI - Visually build and deploy prototypes of LLM flows as a chatbot, web-app, or API endpoint

In Closing

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