AI - Artificial Intelligence covers a wide scope of technologies such as
- Machine Learning
- Natural Language Processing
- Image Processing
- Speech Processing
- Big Data
- Business Intelligence
- RPA - Robot Process Automation
- HPC - High Performance Computing
- Network / Data Security
- Quantum computer and super server for processing
- Cloud for data concentration and hosting
- IoT for data collection
- Devices for usages
Volume of ICT companies within AI universe by main activity
Volume of ICT companies with AI related skills
Click on any cell to have an access to the list
Volume of ICT companies with specific AI activities
Click on any cell to have an access to the list
![]() |
To create your own company selections Try our online selection tool >>here |
![]() |
For further information about our channel statistics |
THE 10 MAIN MARKETS WHERE AI - ARTIFICIAL INTELLIGENCE OUTPERFORMS!
Methodology: We consider the best rank for market penetration by evaluating the rank based on the total number of partners with AI skills relative to the total volume of partners addressing this specific market. Last update 07-2026This answers the question of which markets have the highest potential for AI success.
- Energy & Utilities
- Pharmacy - Medical
- Press- TV - Cinema - Media
- Aerospace
- Military - Defense
- Chemicals - Oil - Gaz
- Insurance
- Agriculture, Biotech
- Tourism
- Industrial Equipment
THE TOP 10 MARKETS IN VOLUME OF ICT PARTNERS SKILLED FOR AI - ARTIFICIAL INTELLIGENCE
Methodology: We consider the best rank based on the total number of partners with IA skills for this specific market.Last update 07-2026
This answers the question of which markets have the largest number of partners with AI skills.
- Medical - Health
- Bank and finance
- Distribution - Retail
- Education / Training
- Industrial Equipment
- Government - State
- Advertising - PR - Media - Marketing
- Insurance
- Transport
- Logistic and warehouse
THE TOP 10 MOST INTERESTING MARKETS
Best rank for outperforming and volume - mix of the two above
Methodology: We consider the best rank for market penetration by evaluating the rank based on the total number of partners with AI skills relative to the total volume of partners addressing this specific market, and also the rank based on the total number of partners with IA skills for this specific market. Last update 07-2026 This answers the question of which markets have the greatest potential, as they represent a large number of partners, while also considering markets with a high rate of AI penetration.
- Bank and finance
- Industrial Equipment
- Insurance
- Pharmacy - Medical
- Distribution - Retail
- Government - State
- Transport
- Medical - Health
- Logistic and warehouse
- Press- TV - Cinema - Media
Top 10 AI companies and their position vs. channel.
| Company | AI Activity | Position towards the Indirect Channel |
|---|---|---|
| Microsoft | Microsoft is one of the world's largest AI providers through Azure AI, Microsoft 365 Copilot, GitHub Copilot and a broad portfolio of foundation models available on Azure. Its strategy combines proprietary AI with third-party models, allowing enterprises to choose the best solution for their needs. AI is deeply embedded across productivity, security, infrastructure and business applications, making Microsoft one of the leading enterprise AI ecosystems. | Very channel-centric. Microsoft relies heavily on distributors, resellers, CSPs, MSPs, SIs and ISVs. AI adoption is expected to be largely partner-led, with extensive enablement, incentives and specialization programs. |
| Google develops the Gemini family of foundation models through Google DeepMind and delivers AI capabilities across Google Cloud, Workspace, Search and developer platforms. Its AI portfolio includes generative AI, multimodal reasoning, machine learning infrastructure and custom AI chips (TPUs). Google continues to invest aggressively in enterprise AI while maintaining leadership in AI research. | Strong indirect strategy. Google Cloud works extensively with global system integrators, MSPs, VARs and consulting firms. The partner ecosystem is expanding rapidly to accelerate Gemini adoption. | |
| Amazon | Amazon provides AI primarily through AWS, offering Bedrock, SageMaker, custom silicon (Trainium and Inferentia) and a broad catalog of foundation models. AI is integrated into cloud infrastructure, logistics, retail and enterprise services. AWS positions itself as an open platform supporting multiple AI providers. | Very partner-driven. AWS has one of the world's largest partner ecosystems, including distributors, resellers, MSPs, ISVs and global integrators that build and deploy AI solutions. |
| NVIDIA | NVIDIA is the dominant supplier of AI computing infrastructure. Its GPUs, networking, CUDA software platform and AI Enterprise suite power the majority of large-scale AI training and inference worldwide. Beyond hardware, NVIDIA provides AI frameworks, enterprise software and industry-specific AI solutions. | Extremely indirect. NVIDIA sells primarily through OEMs, distributors, server manufacturers, cloud providers and specialized AI solution partners rather than directly to end customers. |
| OpenAI | OpenAI develops GPT models and multimodal AI systems used for conversational AI, coding, reasoning and enterprise automation. Its technology is available through ChatGPT, APIs and strategic partnerships, with strong adoption across enterprises and software vendors. | Moderately indirect. Sales are mainly direct and via APIs, but enterprise growth increasingly relies on partners, especially through Microsoft Azure and consulting firms integrating OpenAI technologies. |
| Anthropic | Anthropic develops the Claude family of large language models with a strong focus on AI safety, reliability and enterprise-grade reasoning. Claude is widely used for coding, document analysis and business productivity. | Partner-first enterprise approach. Anthropic reaches many customers through AWS, Google Cloud and consulting partners rather than building a large traditional reseller channel. |
| Meta Platforms | Meta develops the open-weight Llama family of models and invests heavily in AI research. Its strategy emphasizes open innovation, enabling enterprises and developers to build their own AI solutions using Meta's models. AI also powers advertising, social platforms and wearable devices. | Indirect through ecosystem. Rather than a classic channel program, Meta depends on cloud providers, hardware vendors, software companies and consulting partners that distribute and integrate Llama-based solutions. |
| IBM | IBM focuses on enterprise AI through watsonx, offering AI development, governance and automation platforms. The company targets regulated industries with trusted AI, hybrid cloud integration and industry-specific solutions. | Highly channel-oriented. IBM has a mature global partner ecosystem including distributors, resellers, consulting firms and MSPs delivering AI transformation projects. |
| Oracle | Oracle embeds AI across Oracle Cloud Infrastructure, Fusion Applications and database technologies. It provides enterprise AI for ERP, HCM, supply chain, healthcare and financial services while investing heavily in AI infrastructure. | Strong enterprise channel. Oracle relies on value-added resellers, cloud partners, SIs and consulting firms for implementation and customer adoption. |
| Salesforce | Salesforce integrates AI throughout its CRM platform with Einstein AI and Agentforce, enabling sales, service, marketing and customer support automation. Its AI strategy combines proprietary capabilities with external foundation models and enterprise workflows. | Very partner-dependent. Salesforce leverages an extensive ecosystem of consulting partners, ISVs and system integrators to deploy AI-powered CRM solutions for enterprise customers. |


Consulting Services








