This dataset is about companies and is filtered where the company includes Openai, featuring 6 columns including company, country, domain, employee type, and industry. The preview is ordered by revenues (descending).

ChatGPT, an artificial intelligence (AI) powered chatbot, is most used by companies in the technical and education industries, with over 200 companies using it in 2023. It is perhaps unsurprising that the technical field has embraced the use of ChatGPT, but it is interesting that so many educational institutes have begun to use it. While other industries do utilize the OpenAI-made chatbot, there are less than a 100 institutions and companies that use ChatGPT in other industries. This is especially true of agriculture, cultural, and legal industries, where only a single company is using ChatGPT in 2023.

The Industrial AI Software market is experiencing explosive growth, projected to reach $114.68 million in 2025 and exhibiting a remarkable Compound Annual Growth Rate (CAGR) of 35.97% from 2025 to 2033. This surge is driven by the increasing adoption of AI-powered solutions across various industries to enhance operational efficiency, predictive maintenance, and data-driven decision-making. Key drivers include the rising volume of industrial data generated by connected devices (IoT), the need for improved process optimization, and the increasing demand for autonomous systems. Trends such as the integration of cloud-based AI solutions, the development of specialized AI algorithms for specific industrial applications, and the growing emphasis on cybersecurity for industrial AI systems are further fueling market expansion. While initial investment costs and a lack of skilled workforce represent potential restraints, the long-term benefits of improved productivity, reduced downtime, and enhanced safety are outweighing these challenges. The market is segmented by deployment type (cloud-based and on-premise) and end-user industries, with automotive and transportation, retail and consumer packaged goods, healthcare and life sciences, aerospace and defense, and energy and utilities sectors leading the adoption. Major players like Advanced Micro Devices, IBM, Cisco, Siemens, Microsoft, Veritone, Google, Oracle, Nvidia, and Intel are actively shaping the market landscape through innovative product offerings and strategic partnerships. The market's geographical distribution shows significant potential across various regions. While precise regional breakdowns are unavailable, based on the global trend toward digital transformation and the presence of significant industrial hubs, North America and Europe are expected to maintain substantial market shares, followed by Asia-Pacific, driven by rapid industrialization and technological advancements in countries like China, Japan, and South Korea. The relatively slower adoption in regions like Latin America, the Middle East, and Africa is anticipated to improve progressively as digital infrastructure develops and awareness of AI's potential benefits increases. The forecast period from 2025 to 2033 promises sustained growth fueled by ongoing technological advancements, increased investment in digital infrastructure, and the expanding application of AI across diverse industrial processes. This will lead to the development of even more sophisticated and specialized AI software tailored to meet the unique needs of specific industries. Recent developments include: April 2023: Siemens and Microsoft announced their collaboration to leverage the capabilities of generative artificial intelligence (AI) in enhancing innovation and efficiency across all stages of product development, from design and engineering to manufacturing and operation. This partnership involves the integration of Siemens' Teamcenter software for product lifecycle management (PLM) with Microsoft's collaborative platform Teams, as well as utilizing Azure OpenAI Service's language models and other Azure AI capabilities., February 2023: Mercedes-Benz revealed its strategic initiative to digitize the Vehicle Product Lifecycle by partnering with NVIDIA AI and Omnivers, a software platform designed for creating and operating metaverse applications. This digital transformation enables Mercedes-Benz to establish a virtual workflow, empowering them to swiftly respond to supply chain disruptions and adapt assembly line configurations as necessary.. Key drivers for this market are: Increase in Usage of Big Data Technology in Manufacturing, Expanding application base and growing emphasis on adoption of digital transformation practices to realize cost savings. Potential restraints include: Need for Skilled Workforce. Notable trends are: Retail and Consumer Packaged Goods is Expected to Hold Significant Share of the Market.

Between June 2022 and March 2023, the traffic volume for the keyword "AI" has tripled, going from around 7.9 million monthly searches to more than 30.4 million during the last month of the measured period. General interest in artificial intelligence (AI) has exploded in markets like the United States by the end of 2022. Likewise, interest for the application programming interfaces (API's) and plugins of artificial intelligence solutions, especially those of ChatGPT, has also seen a major increase since the release of the tool in November of 2022.

The artificial intelligence market

Valued at around 142.3 billion U.S. dollars in 2022, the artificial intelligence market is one the most promising tech segments for the rest of the decade, with more than five billion U.S. dollars invested in startups - the most notable being the Californian company OpenAI and its flagship application ChatGPT. Disruptive as it is, the adoption of AI has already sparked an alert for several industries, likely to affect job markets and thus raising concerns about cybercrime and other online misdeeds.

The future of online search?

Of most industries, the impact of the new tool developed by OpenAI may be felt by the online search market like a global earthquake. With chatbots providing search results in a dialogue format, the trend of AI-powered search engines unleashed by ChatGPT threw giant companies like Google and Microsoft into a race with startups and other competitors to present the best candidate for this disruptive (and experimental) online solution.

The global natural language processing (NLP) market is anticipated to experience exceptional growth, reaching a value of USD 4.71 billion by 2033, expanding at a CAGR of 27.6% during the forecast period from 2023 to 2033. The increasing adoption of AI, ML, and data analytics across various industry verticals, coupled with the growing need for automated text and speech analysis, drives market expansion. The healthcare, retail, and media & entertainment sectors are expected to be major contributors to this growth. The market is segmented based on technology, type, deployment, service, vertical, and region. Auto-coding, text analytics, pattern & image recognition, and speech analytics are the key technologies driving market growth. Rule-based, statistical, and hybrid approaches are the primary types of NLP systems. On-cloud and on-premise deployment models are adopted by organizations based on their specific requirements. Integration, consulting & maintenance services support the implementation and optimization of NLP solutions. Key market players include IBM, Oracle, Apple, Microsoft, HP, and Netbase Solutions, among others. North America, Europe, Asia Pacific, South America, and the Middle East & Africa are the major regional markets for NLP solutions. Recent developments include: December 2023:, GPT-4 Turbo with Vision, a large multimodal model, is available on Azure OpenAI, enabling image analysis with textual responses. Enhanced features include Optical Character Recognition and video prompt support. REST API allows direct calls to the chat API. Azure OpenAI now supports full VPN and private endpoint protection, including for storage and AI Search resources, ensuring secure data usage., March 2023:, Baidu introduced ERNIE Bot, a knowledge-enhanced LLM, showcasing its abilities in literary creation, business writing, math, Chinese language understanding, and multi-modal generation. ERNIE Bot integrates supervised fine-tuning, reinforcement learning, prompt learning, and knowledge enhancement for comprehensive functionality., April 2023:, Generative AI is reshaping industries, with a focus on ML's pivotal role in fostering innovation. Amazon's strides in democratizing ML are showcased, notably through services like Amazon Bedrock. Also, infrastructure improvements like Amazon EC2 Trn1n instances and EC2 Inf2 instances, optimized for generative AI, are highlighted. Lastly, Amazon Code Whisperer, an AI coding tool aiding developer productivity, is introduced, offering code suggestions based on natural language cues and prior code., May 2023:, Google's next-gen language model offers enhanced multilingual, reasoning, and coding capabilities. Available in four sizes, from Gecko to Unicorn, it powers over 25 Google products, including Workspace features and Med-PaLM 2 for medical insights. Sec-PaLM enhances cybersecurity, while the PaLM API enables developers to leverage its capabilities responsibly. Gemini, our upcoming model, promises groundbreaking multimodal capabilities for future innovation..

The global market for AI-powered grammar and spell checkers is experiencing robust growth, driven by the increasing need for error-free communication across various sectors. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 18% from 2025 to 2033. This significant expansion is fueled by several key factors. The rising adoption of digital communication across businesses, educational institutions, and media organizations necessitates tools that ensure accuracy and professionalism. Furthermore, the advancements in Natural Language Processing (NLP) and machine learning are continuously enhancing the capabilities of these AI-powered tools, leading to more sophisticated grammar and spell-checking features. The increasing availability of affordable and user-friendly AI grammar and spell checkers is also contributing to wider market penetration. Segment-wise, the business application segment currently holds the largest market share, followed closely by education. However, rapid growth is anticipated in the journalism and customer service sectors as these industries strive for higher levels of communication efficiency and accuracy. While data privacy concerns and the occasional inaccuracies of AI-powered tools present some restraints, the overall market trajectory remains strongly positive. The competitive landscape is dynamic, with established players like Grammarly and Microsoft Editor vying for market dominance alongside emerging startups such as Trinka.ai and Sapling. These companies are constantly innovating, incorporating new features like contextual suggestions, style guides, and plagiarism detection to enhance user experience and cater to diverse needs. Geographic expansion is also a significant trend, with North America and Europe currently leading the market in terms of adoption and revenue generation. However, the Asia-Pacific region is expected to witness rapid growth in the coming years, driven by increasing internet penetration and rising digital literacy. The continuous development of more sophisticated AI algorithms, combined with expanding application across various industries, promises continued expansion of the AI grammar and spell checker market in the years to come.

The Enterprise Governance, Risk And Compliance (eGRC) Market size was valued at USD 54.61 billion in 2023 and is projected to reach USD 134.98 billion by 2032, exhibiting a CAGR of 13.8 % during the forecasts period. The Enterprise Governance, Risk, and Compliance (eGRC) market is centered on the approach that targets integrated solutions that would allow the organization address various aspects of governance, risk as well as compliance. Such systems offer rationalizations for Avon for risks’ evaluation and management, adherence to legal requirements, and enhancement of the company’s governance. It applies to many areas of concern, including the finance area, health care, and manufacturing area to meet needs like risk evaluation, policy making, and audit. They are the expanding use of artificial intelligence and machine learning in eGRC as well as the use of a single platform to integrate eGRC with other enterprise systems, the use of real-time monitoring and reporting for increased and dynamic decision making and control. Recent developments include: In November 2023, IBM announced that Watsonx.governance is expected to be widely accessible by December 2023. This platform is designed to aid organizations in dispelling misconceptions surrounding AI models, the data input into the system, and the resulting outputs. While the business world is witnessing a surge in applications leveraging generative AI powered by Large Language Models (LLM), it also grapples with associated risks and complexities. These challenges encompass issues ranging from the need for clearer sourcing of training data from the internet to the generation of outputs that need more explain ability. Watsonx.governance equips organizations with tools to manage risks effectively, foster transparency, and prepare for forthcoming regulations focused on AI. , In November 2023, Brillio forged a collaboration with Microsoft to collaboratively develop cutting-edge horizontal and industrial solutions utilizing the Microsoft Azure OpenAI Service. These intelligent solutions, accessible through the Microsoft Azure Marketplace, will merge Brillio's extensive industry and digital proficiency with Microsoft's AI and analytics platforms. This synergy is poised to empower businesses across diverse sectors, including healthcare, banking, retail, financial services, life sciences, consumer packaged goods, and insurance. The aim is to catalyze the transformation of business models, expedite innovation, and capitalize on new growth prospects. , In November 2023, MetricStream introduced a cloud GRC solution that leverages Amazon Web Services (AWS) AWS Audit Manager in conjunction with MetricStream CyberGRC. Customers will be able to manage risks, compliance standards, frameworks centrally, and controls with MetricStream's new cloud GRC solution, which also offers automated evidence collecting and assessments for both on-premises and AWS settings. , In September 2023, Oracle Access Governance has been updated to assist IT teams in assigning, tracking, and managing user access to apps and other digital resources more effectively. By limiting access to restricted assets like source code, patents, databases, apps, and infrastructure resources like cloud servers and services, only authorized users can use, view, or interact with them. This cloud-native service helps lower risk by offering a comprehensive insight into how users interact with tech resources. .