Claude statistics 2026: understanding AI adoption and performance

Claude statistics: a comprehensive overview for 2025

What is Claude and why does it matter?

Claude, developed by Anthropic, is a generative artificial intelligence platform distinguished by its focus on safety, reliability and transparency. With advanced architecture, substantial contextual analysis capabilities and seamless integration with enterprise tools, Claude has established itself as a strategic alternative to leading market models. Its adoption stems from its ability to handle complex tasks, automate business workflows and ensure regulatory compliance.

Key trends for 2025

In 2025, Claude is experiencing accelerated enterprise deployment, driven by technical innovation, the opening of its ecosystem (Model Context Protocol) and strategic partnerships with cloud giants. Statistics reveal a steady rise in active users, increasingly diverse use cases and robust growth. France and Europe are showing dynamic adoption rates, whilst regulated sectors favour Claude for its compliance and efficiency.

Essential KPIs for understanding Claude's evolution

Several key indicators enable us to track Claude's progress and its impact on the generative AI market. Monthly active user growth represents a fundamental KPI, rising from 4 million unique visitors in December 2023 to 18.8 million in November 2024, before stabilising at 16 million in January 2025. The mobile app conversion rate is another strategic KPI, with 2.9 million monthly active mobile users and 769,600 monthly downloads in January 2025. The Gini coefficient, measuring equality of geographic distribution, fell from 0.37 to 0.32 in the United States, indicating rapid convergence of adoption across states. The Anthropic AI Usage Index (AUI) offers a comparative measure of usage intensity relative to the working population: Denmark, for instance, shows an AUI of 2.1, meaning usage twice as high as its demographic weight would suggest. Finally, the augmentation/automation ratio tracks interaction modes, with 52% of conversations in collaborative mode compared to 45% in automation mode on Claude.ai in November 2025.

Key figures for 2025

💡 What these figures reveal

• ✓ Claude adoption is accelerating, with 30 million monthly active users and nearly 88 million website visitors.
• ✓ Technical capabilities (200,000 tokens, 25 billion monthly API calls) position Claude as a leader for advanced use cases.
• ✓ High user satisfaction (92%) and a 4.6/5 mobile rating confirm Claude's effectiveness.
• ✓ International expansion spans 159 countries with a 3.5% share of the AI chatbot market.

Key metrics to remember

Claude's key 2025 metrics cover the entire value chain: from user growth and penetration in large corporates to contextual analysis capability and user satisfaction. These indicators reflect Claude's business efficiency, its impact on productivity and its transformational potential across various professions.

Performance comparison with other AI solutions

Claude stands out for its ability to handle very long contexts (up to 200,000 tokens), enhanced security and strict compliance. On the SWE-bench Verified benchmark, Claude Sonnet 3.5 achieves around 72% on complex technical tasks, placing it amongst the best performers. ChatGPT maintains dominance in user numbers and generation speed, but Claude offers superior consistency on long, structured tasks. In terms of speed, Claude can be around 2.5 times slower than some competitors but delivers greater autonomy and reliability.

KPIs on annual growth and projections

Growth KPIs demonstrate a strong trajectory for Claude. Monthly website visits grew from 4 million in December 2023 to 87.6 million in December 2024, representing average monthly growth of 4.19%. The mobile app's active user base stands at 2.9 million per month, with a download peak of 800,600 in November 2024. Geographic penetration extends to 159 countries, confirming robust global expansion. These growth KPIs reflect substantial adoption and rising confidence amongst businesses and users in the Claude ecosystem.

Enterprise adoption

💡 What these figures reveal

• ✓ Claude adoption is surging amongst large corporations, with 70% of the Fortune 100 equipped.
• ✓ Native integrations (6,000+ apps, 75+ connectors) facilitate large-scale deployment.
• ✓ Training and support programmes (350,000 at Cognizant, 30,000 at Accenture) are accelerating digital transformation.
• ✓ The high retention rate (41%) confirms Claude's added value in business processes.

Penetration rates by sector

Claude is particularly prominent in technology, finance, professional services and healthcare. 70% of Fortune 100 companies use Claude, with a 29% enterprise market share in 2025. Large-scale deployments include Cognizant (350,000 staff) and Accenture (30,000 trained), illustrating generative AI's growing foothold in major firms.

Popular use cases

The most common use cases include automated customer support, marketing content creation, email and social media writing, software development, document analysis, internal knowledge management and decision support. Claude stands out for its effectiveness on complex workflows and its ability to automate business tasks.

In France and internationally

France ranks amongst the world's top 20 countries for Claude users per capita, with one of Europe's highest growth rates. Major French clients include Sanofi, L'Oréal, Doctolib, Qonto and Pigment. Web traffic from France accounts for nearly 3% of the total. International adoption spans 159 countries, confirming user base diversity and globalisation.

Adoption KPIs by company size

Adoption indicators by company size reveal differentiated penetration across segments. For Fortune 100 companies, the equipment rate reaches 70%. The proportion of developers actively using Claude or Claude Code ranges from 41% to 68% according to studies, with notably higher adoption amongst professionals (45%) than learners (30%). The overall adoption rate amongst surveyed developers stands at 42.8%, positioning Claude Sonnet as the second most sought-after generative AI model (33%). Large-scale deployments translate to 350,000 staff equipped at Cognizant and 30,000 trained at Accenture. The number of applications integrating Claude exceeds 6,000, with more than 75 available connectors. The weekly retention rate of 41% confirms Claude's embedding in daily professional practice.

Impact on productivity and work

💡 What these figures reveal

• ✓ Claude significantly accelerates development processes (2 to 10 times) and reduces rework requirements (-30%).
• ✓ Automation through specialist agents and custom workflows delivers tangible productivity gains.
• ✓ Anthropic's expanding workforce (1,097 staff) supports growth and continuous innovation.
• ✓ Competitive salaries ($296,000 USD) attract top talent.
• ✓ Open source tools (SuperClaude with 20,100+ stars) and SaaS solutions (3,200+) strengthen the ecosystem.

Enhancing internal processes

Claude enables automation of report generation, technical documentation, complex dataset exploration and campaign management. In business, adopting Claude Code accelerates software development projects by a factor of 2 to 3, whilst optimising the handling of recurring tasks and traceability.

Reducing costs and optimising resources

With reduced rework (-30% compared to Cursor) and increased velocity, organisations significantly lower their software production and maintenance costs. Flexible pricing encourages large-scale strategic deployments.

Task automation: the figures

The launch of Claude Cowork and specialist agents brings automation to non-developers, with use cases such as file analysis, report generation, folder reorganisation and automated processing. Over 3,200 SaaS products and internal tools are now powered by Claude, highlighting the rise of intelligent automation.

KPIs on time saved and improved quality

Productivity KPIs demonstrate Claude's tangible impact on operational efficiency. For tasks requiring secondary school-level education (12 years), speed increases by 9x, whilst for university-level tasks (16 years), the gain rises to 12x. Average task completion time on Claude.ai drops from 3.1 hours without AI to approximately 15 minutes with assistance, a 92% time reduction. Via API, tasks go from 1.7 hours to 5 minutes on average. The overall success rate reaches 67% on Claude.ai compared to 49% via API. Claude maintains a 50% success rate for tasks lasting up to 19 hours on Claude.ai and 3.5 hours via API. Rework reduction reaches -30% compared to Cursor.

Sector applications

* Qualitative data – precise figures not available in sources

💡 What these figures reveal

• ✓ Claude has established itself as a reference in customer support, digital marketing and knowledge management.
• ✓ Growing adoption in healthcare, finance and regulated sectors is opening highly strategic new markets.
• ✓ SaaS integrations (6,000+) and global availability (159 countries) drive diversified usage.
• ✓ Partnerships with AWS, Microsoft and Snowflake ($200 million USD) ensure broad distribution across the cloud ecosystem.

Use in digital marketing

Claude is used for generating SEO briefs, writing optimised content, competitor analysis and automated management of Google Ads campaigns or A/B testing. Major French brands leverage Claude to maximise organic traffic and precisely measure the impact of their digital actions.

For data science and technology

Claude Code's advanced functions facilitate handling large datasets, document analysis and building automated development workflows. Tech teams report development speeds multiplied by 2 to 10, with reduced rework and improved process traceability.

Adoption in other strategic sectors

Claude is finding its place in healthcare (Claude for Healthcare), legal services, education and regulated sectors thanks to high security and compliance standards. Early major contracts in insurance and healthcare demonstrate Claude's potential to transform professions where data protection and reliability are critical.

KPIs specific to key sectors

Sector analysis reveals differentiated KPIs by industry. In IT and maths, Claude accounts for 34% of Claude.ai conversations and 46% of enterprise API traffic in November 2025, with a strong focus on software modification for bug fixing (6% of overall Claude.ai usage and 10% via API). The education and library sector saw notable growth, from 9% in January 2025 to 15% in November 2025. Administrative support tasks make up 13% of enterprise API traffic. Arts, design, entertainment and media are seeing growing adoption, mainly for editing and writing. Use case breakdown shows 64% of software development queries are work-related, compared to just 17% for personal management. Overall, Claude.ai usage is 46% work, 19% study and 35% personal; for enterprise API, 74% is business, 4% educational, with the remainder for other uses.

Generative AI evolution

💡 What these figures reveal

• ✓ Long context handling capabilities (200,000 tokens) and benchmark accuracy (72% SWE-bench, 89% MMLU, 92% HumanEval, 96.4% GSM8K) position Claude as a cutting-edge solution.
• ✓ Advanced autonomy (up to 19 hours on Claude.ai) paves the way for robust automation.
• ✓ Image analysis, whilst excluding multimodal generation, enables advanced use cases in extracting graphical insights.

Comparison of capabilities with other models

Claude outperforms most competitors on complex programming, document analysis and analytical reasoning. Its Extended Thinking mode and record context window make it indispensable for writing long, structured content. ChatGPT maintains an edge in rapid generation and multimodality, but Claude surpasses technical benchmarks and consistency on long tasks. In terms of speed, Claude is around 2.5 times slower than some competitors but offers superior autonomy.

Content creation and data analysis

Claude is used for writing reports, SEO articles and white papers, thanks to its ability to build precise plans and ensure editorial consistency across large volumes. Integration with Google Docs and Notion facilitates frictionless production, whilst document analysis (up to 200,000 tokens) guarantees comprehensive data synthesis.

Current and potential limitations

Claude does not generate audio, video or images, remaining dependent on third-party solutions for visual creation. Its speed is lower than some competitors, but the trade-off on quality and output reliability is judged largely favourable by professionals. Confidentiality management and action traceability make Claude a preferred choice for sensitive sectors.

KPIs on efficiency and associated costs

Technical efficiency KPIs illustrate Claude's performance on standard benchmarks. Claude 3 Opus achieves 86.8% accuracy on the MMLU test, with an average recall rate of 99.4% across all context lengths. Performance includes 76.5% on the Bar Exam, 71.2% on Codex HumanEval Python for Claude 2, and 88% on the GSM8K mathematics benchmark. Claude 2.1 reduced incorrect responses by 30% compared to Claude 2.0 and halved false claims. Claude 3 Haiku maintains a refusal rate below 10%, compared to 25% for Claude 2.1, and achieves estimated accuracy of 95.9% across all context lengths. Claude 3 Sonnet's overall accuracy stands at 95.4%. The model can process inputs exceeding 1 million tokens and handles a 200,000-token context for all Claude 3 models. The HumanEval score reaches 92% for generated code evaluation, whilst the GSM8K mathematics score peaks at 96.4%. These technical KPIs confirm Claude's premium positioning on complex tasks requiring precision, consistency and reliability.

Financial performance

💡 What these figures reveal

• ✓ Substantial funding from Amazon and Google ($6 billion USD) confirms investor confidence in Claude.
• ✓ Enterprise market share (29%) is growing rapidly, strengthening Claude's positioning as a strategic solution for large corporations.
• ✓ Global market share (3.5%) shows significant growth opportunity.

Return on investment for businesses

Businesses are seeing reduced operational costs, accelerated time-to-market and optimised resources thanks to automation and the reliability of Claude outputs. Network effects, workflow sharing and protocol standardisation (MCP) contribute to maximising ROI from AI deployments in professional contexts.

Market share within AI technologies

In 2025, Claude holds 3.5% of the global generative AI chatbot market share and 29% of enterprise AI assistants, representing notable progress amid LLM market fragmentation. This dynamic demonstrates Claude's ability to capture strategic segments within the AI ecosystem.

Challenges and future outlook

💡 What these figures reveal

• ✓ International expansion (159 countries, 87.6 million visitors/month) demonstrates Claude's global appeal.
• ✓ Strong mobile adoption (53.68%) and excellent user reviews (4.6/5 from 152,000+ reviews) reflect growing engagement.
• ✓ GDPR compliance and SOC 2 Type II certifications reassure businesses about security.
• ✓ YouTube videos (49.51% of social traffic) play a key role in Claude discovery.

Future adoption and expectations

Projections anticipate continued global growth, with more diverse use cases, increased adoption in regulated sectors and the rise of agentic capabilities. Continuous model improvements and integration protocol standardisation suggest lasting impact on business performance.

Privacy and security challenges

Claude guarantees data encryption in transit and at rest, secure environments, GDPR compliance and SOC 2 Type II certifications. Validation protocols for critical actions meet the strictest regulatory requirements.

Development prospects and planned innovations

The opening of the Model Context Protocol accelerates the creation of an open source ecosystem, fostering innovative projects like SuperClaude (20,100+ GitHub stars). Structural partnerships with AWS, Microsoft and Snowflake open new horizons for cloud-native integration and mass distribution.

KPIs on user expectations and projections

Forward-looking KPIs reveal Claude users' expectations and behaviours. Website user demographics show a male predominance at 62.32%, with the 25-34 age group representing 35.59% of the audience. The mobile app displays slightly different demographics, with 77.1% male users and 51.88% in the 18-24 bracket.

Geographic distribution places the United States first with 26.26% of web traffic and 3.2 million monthly users, followed by India with 8.3% of web traffic and 2.1 million users. Japan, South Korea, Kenya, the United Kingdom and Germany complete the global top 10.

Average user session lasts 13-14 minutes, confirming sustained engagement. The bounce rate of 38.4% on Claude.ai indicates strong retention, whilst the proportion of mobile traffic (53.68%) now exceeds desktop traffic (46.32%).

YouTube remains the main social traffic source with 48.96 to 49.51%. The mobile app rating reaches 4.6/5 with over 152,000 reviews. Organic keywords generate 94.56% of desktop traffic, with "Claude" alone bringing 4.3 million organic visits. Regional usage convergence in the United States should complete in 2-5 years according to diffusion models, with the Gini coefficient falling from 0.37 to 0.32.

Conclusion and recommendations

Analysis of Claude statistics for 2025 highlights a strong dynamic of adoption, innovation and performance in the generative AI market. French and international businesses are leveraging Claude's advanced capabilities to optimise their processes, reduce costs and ensure data security. Future prospects look favourable, with accelerated sector-by-sector integration, rising compliance and growing openness of the technology ecosystem. To maximise Claude's impact, it is essential to adopt a data-driven approach, prioritise team training and integrate the open standards proposed by Anthropic.

🚀 Priority actions for 2025

1. Strengthen Claude integration into business workflows via native connectors and APIs.
2. Train teams in advanced usage and automation to maximise productivity gains.
3. Leverage integrated analytics to track adoption, measure ROI and guide usage.
4. Prioritise GDPR compliance and security by deploying appropriate protocols for critical actions.
5. Build on the open source ecosystem and MCP standards to co-create innovative solutions tailored to each sector.

KPIs for measuring the impact of recommendations

Tracking the effectiveness of strategic recommendations requires identifying specific, measurable KPIs. To assess strengthened workflow integration, monitor the number of connectors activated per user, monthly API call volume per team and adoption rate of native features (currently 75+ available connectors). For team training, measure the number of trained employees (benchmark: 30,000 at Accenture, 350,000 at Cognizant), learning pathway completion rate and evolution of adoption rate amongst professionals (currently 45% versus 30% for learners). For data-driven management, track analytics dashboard usage rate, frequency of productivity metrics consultation and percentage of decisions based on Claude insights. Compliance KPIs include the number of SOC 2 Type II certified environments and validation protocol deployment. Finally, for the open source ecosystem, measure the number of deployed MCP projects (benchmark: SuperClaude with 20,100+ GitHub stars) and contribution rate to open standards.

FAQ – frequently asked questions about Claude

General questions about Claude

What is Claude and who developed it?

Claude is a generative artificial intelligence platform developed by Anthropic, launched in March 2023. It is distinguished by its focus on safety, reliability and transparency. Claude offers advanced architecture with exceptional contextual analysis capabilities and seamless integration with enterprise tools.

What are the different versions of Claude available in 2025?

The Claude family comprises several models: Claude 3 Opus, Claude 3.5 Sonnet, Claude 3.5 Haiku, as well as the Claude 4.5 family (Opus 4.5, Sonnet 4.5, Haiku 4.5). Claude Sonnet is the most widely used model, adopted by 42.8% of surveyed developers. Each model offers a different balance between performance, speed and cost.

How many active users does Claude have in 2025?

Claude has 30 million monthly active users worldwide, including 2.9 million monthly active mobile app users. The Claude.ai website attracts approximately 87.6 million visitors each month as of December 2024.

In how many countries is Claude available?

Claude is accessible in 159 countries worldwide, confirming massive international expansion and significant geographic diversification of its user base.

What is Claude's maximum context capacity?

Claude can handle up to 200,000 tokens for all Claude 3 and higher models, and can process inputs exceeding 1 million tokens. This record context window positions it as a leader for use cases requiring analysis of voluminous documents.

Key figures and technical performance

What are Claude's main performance KPIs?

Claude displays exceptional performance on standard benchmarks: around 72% on SWE-bench Verified for complex programming, 89% on the MMLU score for analytical reasoning, 92% on HumanEval for generated code evaluation, 96.4% on GSM8K in mathematics, and overall accuracy of 95.4% for Claude 3 Sonnet.

How does Claude compare to ChatGPT?

Claude excels on complex technical tasks and offers excellent consistency on long tasks. ChatGPT retains advantages in rapid generation and user volume, but Claude stands out for its reliability and in-depth analysis capabilities. Claude is around 2.5 times slower than some competitors but offers superior autonomy.

What is Claude's user satisfaction rate?

The user satisfaction rate reaches 92%, with a 4.6/5 mobile app rating based on over 152,000 reviews. The weekly retention rate is 41%, indicating that users return at least 3 times per week.

What is the task success rate with Claude?

The overall success rate reaches 67% on Claude.ai and 49% via API. For personal tasks, the rate rises to 78%, whilst for software development it stands at 61%. Claude maintains a 50% success rate for tasks lasting up to 19 hours on Claude.ai and 3.5 hours via API.

Enterprise adoption

What percentage of Fortune 100 companies use Claude?

70% of Fortune 100 companies are equipped with Claude, demonstrating massive penetration in major global organisations.

What is Claude's market share in enterprise AI assistants?

Claude holds 29% market share in enterprise AI assistants, showing notable progress. This rapid growth positions Claude as a major player in the B2B segment.

How many developers use Claude?

Between 41% and 68% of developers use Claude or Claude Code according to studies, with 42.8% of surveyed developers using Claude models. Adoption is higher amongst professionals (45%) than those learning to code (30%).

How many applications integrate Claude?

Over 6,000 applications integrate Claude, with more than 75 available connectors and integrations to facilitate enterprise deployment. Over 3,200 SaaS products and internal tools are powered by Claude.

What are examples of large-scale Claude deployments?

Cognizant has equipped 350,000 employees with Claude, whilst Accenture has trained 30,000 staff. These deployments illustrate the rise of generative AI in major professional services firms.

Productivity and time savings

How much time does Claude save on tasks?

Average task completion time drops from 3.1 hours without AI to approximately 15 minutes with Claude on Claude.ai, a 92% reduction. Via API, tasks go from 1.7 hours to 5 minutes on average. For tasks requiring 12 years of education, acceleration reaches a 9x factor, and 12x for those requiring 16 years of education.

What is Claude's impact on development velocity?

Claude accelerates development velocity by a factor of 2 to 10 times, with a 30% reduction in rework time compared to Cursor. Productivity gains on automated workflows reach a factor of 2 to 3.

What is the average user session on Claude?

The average user session lasts between 13 and 14 minutes, confirming sustained engagement and in-depth interactions with the platform.

Sector applications and use cases

What are Claude's main use cases?

The most common use cases include automated customer support, marketing content creation, email and social media writing, software development, document analysis, internal knowledge management and decision support.

How is Claude used in digital marketing?

Digital marketing represents a main share of Claude usage. It is used for generating SEO briefs, writing optimised content, competitor analysis and automated management of Google Ads campaigns or A/B testing.

What is the task breakdown by sector on Claude?

IT and maths tasks dominate with 34% of Claude.ai conversations and 46% of enterprise API traffic. Education and library represent 15%, arts and media 11%, and administrative support 13% of enterprise API traffic.

What is the breakdown between professional, educational and personal use?

On Claude.ai, usage breaks down as 46% work, 19% study and 35% personal needs. Via enterprise API, 74% of usage is professional, 4% educational, with the remainder for other uses.

How are regulated sectors adopting Claude?

Regulated sectors such as healthcare (Claude for Healthcare), finance and legal services are adopting Claude thanks to high security standards, GDPR compliance and SOC 2 Type II certifications.

Geography and demographics

What are the main countries using Claude?

The United States dominates with 26.26% of web traffic and 3.2 million monthly users, followed by India (8.3% of traffic, 2.1 million users), Japan (692,200 users), South Korea (556,700), Kenya (523,600), the United Kingdom (516,800 and 4.74% of traffic) and Germany (491,100).

What is France's position in Claude adoption?

France ranks amongst the world's top 20 countries for users per capita, with one of Europe's highest growth rates. Web traffic from France accounts for nearly 3% of the total. Major French clients include Sanofi, L'Oréal, Doctolib, Qonto and Pigment.

What is the demographic profile of Claude users?

On the website, 62.32% of users are male, with the 25-34 age group representing 35.59% of the audience. On the mobile app, 77.1% are male, with 51.88% in the 18-24 bracket, followed by 25% for 25-34 year-olds.

How is Claude usage converging in the United States?

The Gini coefficient fell from 0.37 to 0.32 in the United States, indicating rapid convergence of adoption across states. If the trend continues, per capita usage could equalise nationwide in 2 to 5 years.

Which country shows the highest usage index?

Denmark displays an Anthropic AI Usage Index (AUI) of 2.1, meaning usage twice as high as its working population would proportionally represent.

Interaction modes and usage

What is the difference between augmentation and automation modes?

Augmentation mode corresponds to collaborative use where the user iterates on a task with Claude (52% of Claude.ai conversations in November 2025). Automation mode corresponds to directive use where Claude executes tasks autonomously (45% on Claude.ai, 75% via enterprise API).

What proportion of traffic comes from mobile?

53.68% of traffic comes from mobile versus 46.32% from desktop computers, confirming increasingly marked mobile-first adoption.

What is the bounce rate on Claude.ai?

The bounce rate stands at 38.4% on Claude.ai, indicating strong visitor retention and significant engagement with the platform.

What is the main social traffic source for Claude?

YouTube is the main social traffic source with 48.96 to 49.51% of traffic from social networks, demonstrating the importance of videos and tutorials in Claude discovery and adoption.

How many downloads does the Claude app generate?

The Claude app recorded 800,600 downloads in November 2024, with an average of 769,600 monthly downloads in January 2025.

What is the concentration of tasks on Claude?

The 10 most common tasks represent 24% of Claude.ai conversations and 32% of enterprise API traffic. The most frequent task, "modifying software to fix bugs", alone represents 6% of Claude.ai usage and 10% via API.

Security, compliance and limitations

What security certifications does Claude have?

Claude is GDPR compliant and holds SOC 2 Type II certifications, guaranteeing data encryption in transit and at rest, as well as secure environments to protect sensitive information.

What are Claude's current limitations?

Claude does not generate audio, video or images, limiting itself to image analysis. It remains dependent on third-party solutions for visual creation. Its speed can be lower than some competitors (around 2.5 times slower), but this trade-off favours quality and output reliability.

Can Claude process multimodal data?

Claude can analyse images but does not generate multimodal content (audio, video, images). This limitation positions it as a tool specialised in processing and analysing text and existing images.

Innovations and prospects

What are the major open source projects around Claude?

SuperClaude is the major open source project with over 20,100 stars on GitHub. Over 3,200 SaaS products and internal tools are powered by Claude, illustrating a dynamic ecosystem.

What is the Model Context Protocol (MCP)?

The Model Context Protocol is an open standard developed by Anthropic that facilitates Claude integration with different systems and applications, promoting interoperability and ecosystem expansion.

How many specialist agents does Claude offer?

Claude offers 16 specialist agents and over 30 custom commands via Claude Code, enabling advanced automation and workflow customisation according to business needs.

What are Anthropic's strategic partnerships?

Anthropic has established strategic partnerships with AWS, Microsoft and Snowflake, representing $200 million USD in investments, ensuring rapid and reliable distribution across the cloud ecosystem.

How many employees does Anthropic have?

Anthropic has 1,097 employees, with an average annual salary for software engineers of $296,000 USD, reflecting a strategy to attract top talent to support continuous innovation.

What is the amount of funding raised by Anthropic?

Anthropic has received cumulative funding from Amazon and Google totalling $6 billion USD, demonstrating tech giants' confidence in the Claude platform.

Sources:

https://www.hoko.team/blog/claude-code-strategie-anthropic-entreprises-2026
https://thunderbit.com/fr/blog/claude-stats
https://www.secondtalent.com/resources/claude-ai-statistics/
https://www.jedha.co/formation-ia/claude-vs-chatgpt-quelle-est-la-meilleure-ia-en-2025
https://blog.9cv9.com/109-latest-claude-anthropic-statistics-data-trends-in-2026/
https://backlinko.com/claude-users
https://keywordseverywhere.com/blog/anthropic-claude-stats/
https://survey.stackoverflow.co/2025/
https://www.anthropic.com/research/anthropic-economic-index-january-2026-report
https://www.artificialintelligence-news.com/news/anthropic-report-economic-index-summary-key-points-2026/