There are several major providers of enterprise Natural Language Processing (NLP) services, including:

1. Amazon Web Services (AWS): AWS offers a wide range of NLP services, including Amazon Comprehend for sentiment analysis, named entity recognition, and language detection, Amazon Transcribe for speech-to-text, and Amazon Translate for language translation.
2. Google Cloud Platform (GCP): GCP offers a variety of NLP services, including Cloud Natural Language API for sentiment analysis, named entity recognition, and text classification, Cloud Translation API for language translation, and Cloud Speech-to-Text for speech recognition.
3. Microsoft Azure: Azure offers NLP services such as Azure Cognitive Services for natural language processing, text analytics, and speech-to-text, Azure Databricks for big data processing, and Azure Search for natural language search.
4. IBM Watson: IBM Watson offers a variety of NLP services, including Watson Language Translator for language translation, Watson Natural Language Understanding for sentiment analysis, named entity recognition, and concept tagging, and Watson Text to Speech for speech synthesis.
5. SAS Text Analytics: SAS Text Analytics is a software that allows for text mining, sentiment analysis, and named entity recognition. It uses a combination of machine learning and rule-based techniques, and it can integrate with other SAS software.
6. Open AI’s GPT-3: GPT-3 is a state-of-the-art language generation model, which can be used for NLP tasks such as language translation, summarization, question answering and text completion, it can be integrated with other platforms.

These providers offer a range of NLP services, but they all have their own strengths and weaknesses. AWS and GCP are good options for businesses that want to take advantage of cloud-based services, while Microsoft Azure is a good choice for businesses that use other Microsoft products. IBM Watson is a good option for businesses that want to use pre-trained models for specific industries and use cases. SAS Text Analytics is good for businesses that want to combine rule-based and machine learning methods for text analytics. OpenAI’s GPT-3 is a good option for businesses that want to use state-of-the-art language generation models.