Enterprise AI Company Landscape Breakdown

updated on Sep 22, 2025

Artificial intelligence is revolutionizing every industry with various use cases. Demand for AI products grows as more companies shift their legacy systems with digital products to survive in the competitive business landscape. However, the AI vendor landscape is crowded, and most executives or decision-makers have limited knowledge of the AI landscape.

Check out our comprehensive categorization of AI companies based on their sizes, technology, industry, business function, geography, business model & services they offer. Note that this list does not contain all AI vendors. If you want to see our comprehensive and up-to-date AI vendor lists, feel free to check out AIMultiple.com, where we list 8,000+ AI vendors based on their technology offerings.

Breakdown by size

Tech-giants

The global AI race is getting fierce, and companies such as Google, Facebook, Amazon, Microsoft, and Apple are developing new AI products& services and making new AI acquisitions. Apple is leading in the number of AI acquisitions, and Microsoft has the most AI-related patents (more than 18,000) in its portfolio.¹

Figure 1 Leading AI companies²

Recommended reading:

Startups

Total funding ≥ $1 Billion

As of October 2020, 5 startups raised more than or equal to $1 Billion in funding:

SenseTime: AI company that focuses on computer vision and deep learning technologies.
- Funding*: $2.6B
- Headquarters: Hong Kong
- # of employees**: 1001-5.000
MEGVII: The company builds AI Engines that power various AI applications.
- Funding: $1.4B
- Headquarters: China
- # of employees: 1.001-5.000
UiPath: RPA company that focuses on automation via artificial intelligence.
- Funding: $1.2B
- Headquarters: United States
- # of employees: 1.001-5.000
OpenAI: A non-profit AI research company that focuses on safe artificial general intelligence.
- Funding: $1B
- Headquarters: United States
- # of employees:51-200.
Nuro: A robotics company that develops autonomous delivery vehicles.
- Funding: $1B
- Headquarters: United States
- # of employees: 501-1.000

$1 Billion > Total funding ≥ $500 Million

Zoox: AI robotics company that provides mobility-as-a-service and self-driving car services.
- Funding: $955M
- Headquarters: United States
- # of employees:1.001-5.000
UBTech Robotics: Robotics company that specializes in humanoid robots.
- Funding: $940M
- Headquarters: China
- # of employees: 501-1.000
ThoughtSpot: AI company that develops business-intelligence analytics search software.
- Funding: $743.7M
- Headquarters: United States
- # of employees: 501-1.000

$500 Million > Total funding ≥ $100 Million

DataRobot: The most funded autoML company that enables customers to prepare their data, create and validate machine learning models.
- Funding: $430.6M
- Headquarters: United States
- # of employees: 1.001-5.000.
Mobvoi: AI company that focuses on speech recognition, natural language processing, and vertical mobile search. They also have a strategic partnership with Google.
- Funding: $252.8M
- Headquarters: United States
- # of employees: 501-1.000
C3: AI software company for building enterprise-scale AI applications for digital transformation.
- Funding: $228.5M
- Headquarters: United States
- # of employees: 201-500

$100 Million > Total funding

Orion Labs: Developing voice-activated communication and automation solutions for deskless workers.
- Funding: $63M
- Headquarters: United States
- # of employees:51-200
Hive: A full-stack AI company specializing in computer vision and deep learning.
- Funding: $20.2M
- Headquarters: United States
- # of employees: 51-200
Hypatos: A process automation startup that applies language processing AI and computer vision tech to speed up financial document processing
- Funding: $10M
- Headquarters: Germany
- # of employees: 11-50.

he table below summarizes the AI startups listed by size above:

Breakdown by technology

Figure 2: AI tech breakdown³

Enterprise AI companies by Machine Learning

Enables companies to build and deploy ML models. These models could be in any AI domain such as NLP, machine vision, etc.

Machine learning vendors

H2O.io: An open-source machine learning platform that enables AI applications via services in cloud and on-premises.
- Funding: $151.1M
- Headquarters: United States
- # of employees: 201-500
Prevision.io: Providing an automated machine learning platform to generate and deploy highly accurate predictive models on the cloud or on-premises.
- Funding: €7.5M
- Headquarters: France
- # of employees: 11-50
Tazi.ai: TAZI’s AutoML platform enables businesses to easily create, update, deploy, and take actions with ML where models are understandable and learn continuously from data and humans.
- Funding: €1M
- Headquarters: United States
- # of employees: 11-50

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Enterprise AI companies by Natural Language Processing (NLP)

Natural language processing is the core technology behind chatbots. NLP is a subcategory of AI that helps break down, understand, process, and determine the required action based on queries. NLP is the engine that performs tasks such as dialog control and task prediction.

Natural Language Processing Vendors

SoundHound: The company provides voice-enabled AI and conversational intelligence technologies through a music discovery app and voice assistant.
- Funding: $215M
- Headquarters: United States
- # of employees: 201-500
Grammarly: A digital writing assistant helps people write without errors.
- Funding: $200M
- Headquarters: United States
- # of employees: 201-500
MindMeld: Their conversational AI platform enables companies to build intelligent conversational interfaces for any application or device.
- Funding: $15.4M
- Headquarters: United States
- # of employees: 11-50

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Enterprise AI companies by Machine Vision

Machine vision is at the core of technology behind industrial automation. The decrease in cost of cameras and advancement in image recognition technology resulted in more accurate and cheaper machine vision systems. Therefore, industrial companies aim to achieve increased automation and efficiency through machine vision systems.

Machine Vision Vendors

Prophesee: Providing computer vision solutions for autonomous navigation and connected objects where sensors and algorithms mimic how the human eye and brain work to improve efficiency.
- Funding: $65M
- Headquarters: France
- # of employees: 51-200
RADAR: An RFID and computer vision platform that automates inventory management, analytics, and checkout in physical stores.
- Funding: $16M
- Headquarters: United States
- # of employees: 11-50
IVISYS: Developing advanced machine vision inspection systems that provide solutions for quality inspection, verification, and machine guidance.
- Funding: Info not available
- Headquarters: Sweden
- # of employees: 11-50

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Enterprise AI companies by autonomous things

Autonomous things include robotics, vehicles, drones, autonomous smart home devices, and autonomous software. Self-driving cars are getting the most attention among these technologies. However, there is still time before we see them on most roads due to technical and regulatory challenges.

Autonomous things vendors

Peloton: Connected and autonomous truck company that supports drivers’ health and safety while minimizing the heavy dependence of logistics companies on drivers
- Funding: $78.4M
- Headquarter: United States
- # of employees: 51-200
DJI Innovations: Developing innovative drone and camera technology for commercial and recreational use.
- Funding: $105M
- Headquarter: China
- # of employees: 10.001+
Sunflower Labs: Combining outdoor sensors with autonomous aerial drones for a complete view of home security
- Funding: Info not available
- Headquarter: Sweden
- # of employees: 11-50

Checkout for more on autonomous things (AUT).

Enterprise AI companies by analytics

AI helps analytics get automated, more accessible, and more accurate. Thanks to AI and ML algorithms, organizations’ analytics methods are better in prediction, pattern recognition, and classification.

Analytics Vendors

RapidMiner: A software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
- Funding: $36M
- Headquarters: United States
- # of employees: 51-200
Alteryx: Data science and self-service analytics platform can prep, blend, enrich, and analyze data, manage, and deploy predictive analytics solutions.
- Funding: $163M
- Headquarters: United States
- # of employees: 1.001-5.000
Saama: AI-powered clinical analytics cloud platform company that delivers actionable business insights for life sciences.
- Funding: $75.8M
- Headquarters: United States
- # of employees: 1.001-5.000

For more on AI-powered analytics:

Enterprise AI companies by task mining

Task mining technologies enable businesses to collect and monitor user interaction data to understand how they perform the tasks. Most task mining solutions are integrated with process mining technologies. These enable organizations to understand processes and find ways to enhance the whole process rather than just improve how employees perform specific tasks.

Task Mining Vendors

FortressIQ: They claim that their platform can automatically discover, map, and document all the digital processes executed by an organization’s workforce thanks to AI.
- Funding: $46M
- Headquarters: United States
- # of employees: 11-50

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Enterprise AI companies by automation

AI-powered systems can automate various business processes with the help of RPA technology. Some automation examples are

accounts payable (AP) automation,
invoice automation,
document automation,
sales & marketing automation

AI-powered automation vendors

Automation Anywhere: An AI-powered digital workforce platform that democratizes automation and liberates people from mundane and repetitive tasks.
- Funding: $840M
- Headquarters: United States
- # of employees: 1.001-5.000
Workfusion: Automating enterprise business processes by combining robotics, AI-powered cognitive automation, and workforce orchestration.
- Funding: $121.3M
- Headquarters: United States
- # of employees: 201-500

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The table below lists tools by their technology category:

Breakdown by industry

Enterprise AI in healthcare

Roughly 70% of healthcare tasks could be optimized through automation or AI support. In nursing, 20% of routine, low-complexity duties could be automated, potentially saving $50 billion annually.⁴ Therefore, 45% of operations leaders in customer care said introducing advanced technologies, including AI, was a key priority.⁵

The most prominent applications of AI companies in the healthcare industry are early diagnosis, drug discovery, and better treatment along with data-driven administration by analyzing and interpreting the available patient and company data more precisely.

Healthcare AI vendors

Atomwise: A startup using AI to accelerate drug discovery.
- Funding: $176.6M
- Headquarters: United States
- # of employees: 51-200
Owkin: Deploying AI and federated learning for medical research.
- Funding: $74.1M
- Headquarters: United States
- # of employees: 51-200
Zebra Medical Vision: Imaging Analytics Platform allows healthcare institutions to analyze clinical imaging data in real-time and detect medical indications.
- Funding: $74.1M
- Headquarters: United States
- # of employees: 51-200

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Enterprise AI in insurance

The insurance industry heavily relies on documents and repetitive processes. AI and Insurtech companies deliver automation in back-office tasks while improving customer service (via chatbots) and enabling fraud detection (via predictive analytics).

Insurance AI vendors

Lemonade: A licensed insurance carrier that offers renters, homeowners, and pet health insurance in the United States and contents and liability insurance in Germany and the Netherlands.
- Funding: $480M
- Headquarters: United States
- # of employees: 201-500
Tractable: The insurtech startup that develops artificial intelligence for accident and disaster recovery.
- Funding: $59.9M
- Headquarters: United States
- # of employees: 201-500
Zesty.ai: An AI-powered property analytics and risk platform for insurance.
- Funding: $13M
- Headquarters: United Kingdom
- # of employees: 51-200

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Enterprise AI in retail

AI products & services can provide retailers various capabilities such as

Customer intelligence is where businesses leverage customer data to deliver better and more personalized products & services.
Autonomous stores to serve customers faster.
Autonomous warehouses to improve the efficiency of supply chain processes.

AI Retail Vendors

AiFi: Specialized in developing store automation systems with a combination of AI, edge computing, and scalable sensor fusion technology.
- Funding: $29.5M
- Headquarters: United States
- # of employees: 51-200
Heuritech: Specialized in developing store automation systems with a combination of AI, edge computing, and scalable sensor fusion technology.
- Funding: €5.2M
- Headquarters: France
- # of employees: 51-200
Osara: Osara is an artificial intelligence company that provides warehouse automation technology through machine learning solutions.
- Funding: $29.3M
- Headquarters: United States
- # of employees: 51-200

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Enterprise AI in manufacturing

Most popular AI use cases in manufacturing focus on improving maintenance and quality. Manufacturing includes the orchestration of processes and full of analytical data that suits AI/ ML algorithms; therefore, manufacturers can generate value through AI adoption.

AI Manufacturing Vendors

Data Prophet: Its AI solution suite improves quality and yield in manufacturing
- Funding: $6M
- Headquarters: South Africa
- # of employees: 51-200
NavVis: The company helps manufacturers drive efficiencies in global factory planning and operations with a digital twin solution that enables fast and accurate 3D mapping and 3D visualization of the shop floors,
- Funding: $68.2M
- Headquarters: Germany
- # of employees: 51-200
Noodle.AI: Noodle AI provides AI-powered analytics to minimize waste in manufacturing and supply chain operations.
- Funding: $72M
- Headquarters: United States
- # of employees: 51-200

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Enterprise AI in logistics

Capabilities AI technology offers to logistics companies are:

Supply & Demand Planning
Backoffice & Warehouse Automation
Autonomous transportation
Logistics optimization through analytics

AI Logistics Vendors

Scale AI: An investment company that funds AI initiatives for supply chain companies.
- Funding: CA$23.4M
- Headquarters: Canada
- # of employees: 11-50
Aquify: Company focuses on scalable 3D computer vision solutions based on commodity hardware for accelerating and improving the accuracy of the manual processes gating logistics and manufacturing throughput.
- Funding: $36.8M
- Headquarters: United States
- # of employees: 11-50
LogiNext: An SaaS company for field service and logistics optimization. LogiNext uses data analytics and machine learning algorithms to optimize movements across the globe.
- Funding: $49.6M
- Headquarters: United States
- # of employees: 51-200

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Enterprise AI in telecom

In the telecommunication industry, AI projects focus on the following technologies:

Network optimization
Virtual Assistants
Robotic process automation (RPA)

AI Telecom Vendors

Metawave: A wireless technology company that builds intelligent and high-performance automotive radars by leveraging metamaterials and AI.
- Funding: $49.6M
- Headquarters: United States
- # of employees: 11-50
DeepSig: Using ML and AI to learn optimized models directly from data so that communication systems become faster, more cost efficient, more secure, and able to excel in complex environments.
- Funding: $7.7M
- Headquarters: United States
- # of employees: 11-50

Enterprise AI in banking

AI helps banks and other financial institutions reduce costs and errors with improved banking processes while ensuring data security and compliance. McKinsey estimated that AI can generate more than $250 billion in value for financial institutions.⁶

AI Banking Vendors

Avant: An online lending platform that offers alternatives to its clients by relying upon big data and machine-learning algorithms.
- Funding: $1.6B
- Headquarters: United States
- # of employees: 501-1.000
OakNorth: A credit science platform that leverages machine learning to model a view of a borrower’s financial situation.
- Funding: $1B
- Headquarters: United Kingdom
- # of employees: 501-1.000
ComplyAdvantage: Providing AI-driven financial crime risk data and detection technology for financial institutions.
- Funding: $88.2M
- Headquarters: United Kingdom
- # of employees: 201-500

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Check out enterprise AI companies listed by the industry they belong to:

Breakdown by business function/department they serve

Enterprise AI in sales

Most important challenge of sales reps is spending a significant time on unqualified leads due to a lack of lead prioritization and manual processes in lead generation. AI technologies can target these obstacles with its analytics and automation capabilities.

AI Sales Vendors

SalesDirector.ai: Providing AI based sales coaching and forecasting for enterprise sales teams
- Funding: Not available
- Headquarters: United States
- # of employees: 11-50
Zilliant: The company offers price optimization and management software for manufacturing, distribution, high-tech, and industrial service companies.
- Funding: $92.4M
- Headquarters: United States
- # of employees: 51-200
People.ai: Using AI to transforms business activity data into recommendations that increase the impact of Sales, Marketing, and Operations.
- Funding: $100M
- Headquarters: United States
- # of employees: 51-200

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Enterprise AI in marketing

There are numerous AI products you can purchase to enhance different marketing strategies such as SEO, content marketing, and account based marketing (ABM). Products like recommendation engines or website personalization solutions help businesses improve conversations while AI-powered analytics is enabling better customer targeting.

AI Marketing Vendors

MarketMuse: Using AI to accelerate content planning, creation, and optimization. Some examples are identifying content quality issues on the site and building blueprints that show how to write to cover a topic comprehensively.
- Funding: $6.7M
- Headquarters: United States
- # of employees: 11-50
Writer: An AI writing assistant
- Funding: $5M
- Headquarters: United States
- # of employees: 11-50
Seamless.AI: A sales automation software that organizes contacts and makes them universally accessible and useful.
- Funding: $300K
- Headquarters: United States
- # of employees: 51-200

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Enterprise AI in customer service

AI can help customer service team enable communication with customers through chatbots while performing analytics on customer responses to enhance call experience.

AI Customer Service Vendors

Gong.io: A Revenue Intelligence Platform that captures and understands every customer interaction then delivers insights to empower revenue teams for data driven decisions.
- Funding: $333M
- Headquarters: United States
- # of employees: 201-500
Observe.AI: A software company that leverages AI, machine learning, and analytics to develop contact center software. The company helps businesses analyze all calls and streamline quality assurance workflows.
- Funding: $88.1M
- Headquarters: United States
- # of employees: 51-200
Directly: The company offers AI-powered solutions to help resolve customer issues with a mix of automation and human support.
- Funding: $66.8M
- Headquarters: United States
- # of employees: 51-200

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Enterprise AI in human resources

AI can facilitate recruiting and saves time for recruiters by automating processes such as candidate identification & outreach, resume screening & interview analysis.

AI vendors for HR department

XOR.ai: Developing technologies for human resource and talent acquisition workflow automation.
- Funding: $8.4M
- Headquarters: United States
- # of employees: 51-200
Ideal: The company uses AI to centralize rich candidate data and screen candidates so that recruiting teams make more accurate, fair, and efficient talent decisions.
- Funding: $3M
- Headquarters: Canada
- # of employees: 11-50

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Enterprise AI in security

Artificial intelligence’s influence on security systems depends on where you look.

AI helps enhance security systems.
AI creates new vulnerable points that businesses need to secure.
Cyberattackers may use AI for malicious actions.

Regardless of perspective, businesses should rely on AI to secure themselves from cyberattacks. IBM’s 2025 report shows that global breach costs fell 9% to USD 4.44 million, the lowest in five years, as AI defenses cut containment time to 241 days, a nine-year best.⁷

AI Security Vendors

Palo Alto Networks: Addressing the security challenges with continuous innovation that seizes the latest breakthroughs in artificial intelligence, analytics, automation, and orchestration.
- Funding: $65M
- Headquarters: United States
- # of employees: 5.001-10.000
LogRhythm: Delivering security analytics; user and entity behavior analytics (UEBA); network detection and response (NDR); and security orchestration, automation, and response (SOAR) within a single, integrated platform for rapid detection, response, and neutralization of threats.
- Funding: $126.3M
- Headquarters: United States
- # of employees: 501-1.000
Absolute Software: Creating endpoint resiliency solutions that enable organizations to secure their devices, data, and users.
- Funding: Publicly traded company on Toronto Stock exchange
- Headquarters: United States
- # of employees: 201-500

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Here are some of the enterprise AI companies categorized by the business functions:

Breakdown by geography

The top 5 countries by number of AI startups for 2013-2023 period:

United States: 5,509
China: 1,446
United Kingdom: 727
Israel: 442
Canada: 397.⁸

San Francisco is the leading region that has the highest number of AI startups with 842 startups. Yet, the interesting fact is around one-third of startups have Chinese founders/co-founders.

Standford AI index also focus on the number of publications and AI models to measure growing interest and maturity in the regional markets.⁹ The top 5 countries by the number of notable AI models delivered in 2024 include:

United States: 40
China: 15
France: 3
Canada:1
Israel: 1.

The top Enterprise AI companies that delivered highest notable AI models are listed as:

Breakdown by business model

Like tech companies, AI companies can also be classified by the size of the businesses they target:

Consumers (B2C)
B2B
- SMEs
- Mid-market (Companies with hundreds of millions in revenue)
- Enterprise (Forbes 2000 or at least $1 billion in revenue)

Though most AI startups, specifically in industries such as insurance, retail, healthcare, and banking, focus on enhancing customer experience through the guidance of data and analytics, they promote their products for businesses rather than consumers.

In other words, most AI companies are B2B-focused. According to Asgard’s research, which is a venture fund for AI companies, 64% of AI companies are B2B. However, their calculation methodology doesn’t look 100% accurate since there are numerous B2B companies such as OJO Labs (in real estate) and Personetics Technologies (in Fintech) where the research below included them in the B2C environment. Therefore, we assume the ratio of B2B AI startups is higher than 64% of the AI ecosystem.

Source: Asgard

Breakdown by service

Product offerings

Hardware

AI chips are specially designed accelerators for artificial neural network(ANN) based applications. ANN is considered a subfield of artificial intelligence and most commercial ANN applications are deep learning applications.

AI Chip Vendors

Graphcore: A semiconductor company that develops accelerators for AI and machine learning.
- Funding: $460M
- Headquarters: United States
- # of employees: 51-200
Wave Computing: A company that is revolutionizing AI with its dataflow-based chips, systems and software that deliver orders of magnitude performance improvements over legacy architectures.
- Funding: $203.3M
- Headquarters: United States
- # of employees: 51-200

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Software

Most AI products you encounter in the business world are SaaS products where vendors share APIs or deliver a product via an app or web portal.

Service offerings

Some vendors offer specific services based on your business needs. AI services businesses may purchase include

AI-as-a-Service (AIaaS)
Custom AI Development
Services for enabling AI transformation
- Consulting
Services to support your internal data science teams
- AI talent recruitment
- Data labeling/ Annotation
- Data science competitions
- AI Platforms

If your business needs are niche, you need to build custom AI solutions. For this reason, you may want to check our custom AI development whitepaper where we explained every aspect of vendors that you may encounter within the AI landscape.

Download our Whitepaper on Custom AI Solutions

Visit Website

Recommended readings:

You can also check out our list of AI tools and services:

If you still have questions on AI vendors, don’t hesitate to contact us:

Find the Right Vendors

Sources:

*Data related to businesses’ funding is taken from Crunchbase

**Data related to businesses’ number of employees is taken from Linkedin