Composite AI Market

The composite AI market is estimated to grow from USD 0.9 billion in 2023 to USD 4.4 billion by 2028, at a CAGR of 36.5% during the forecast period. Deep learning and natural language processing developments in AI technology have simplified designing and combining various AI models into composite AI.

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Top Composite AI Companies:

Key players operating in the composite AI market include IBM (US), SAS Institute (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), BlackSwan Technologies (Israel), Oracle (US), OpenText (Canada), SAP (Germany), HPE (US), Pega (US), NVIDIA (US), Intel(US), UiPath(US), Zest AI(US), Dynamic Yield(US), DataRobot(US), H2O.ai (US), Squirro(Switzerland), CognitiveScale(US), SparkCognition(US), Diwo (US), ACTICO(Germany), Kyndi(US), Nauto(US), Netra(US), and Exponential AI (US).

These composite AI vendors have adopted various organic and inorganic strategies to sustain their positions and increase their global market shares.

IBM

• IBM is a multinational technology and consulting corporation that offers infrastructure, hosting, and consulting services. The company operates through five major business segments: software, consulting, infrastructure, and financing. IBM caters to various industries: aerospace & defense, education, healthcare, oil & gas, automotive, electronics, insurance, retail & consumer products, banking & finance, energy & utilities, life sciences, telecommunications, media & entertainment, chemicals, government, manufacturing, travel & transportation, construction, and metals & mining. The company offers the IBM Watson Assistant in the composite AI market. It maintains strong partner relationships with leading IT providers, like AWS, Adobe, Cisco, KPMG, Kyndryl, Microsoft, Oracle, Salesforce, Samsung, SAP, ServiceNow, and Workday. The company is active in North America, Europe, the Asia Pacific, the Middle East, Africa, and Latin America.

SAS Institute

• SAS Institute is an American multinational analytics software developer, which creates and sells a suite of analytics software that facilitates access to, management of, analysis of, and reporting on data to support decision-making. The corporation is the world's largest privately held software company; most Fortune 500 companies utilize it. Its analytics platform enables enterprises to connect data and gain actionable business insights. Apart from IoT data management solutions and services, the company offers streaming analytics solutions for fraud and security intelligence, cloud analytics, data and decision management, and business intelligence. The company offers a robust, scalable, and open edge-to-enterprise analytics platform, which bridges the gap between IT and operational environments. It incorporates visualization, statistical modeling, and predictive and prescriptive analytics to deliver expertise in IoT analytics and AI, ML, and deep learning, to reduce risks and extract business value. It applies advanced analytics and AI to IoT to reduce downtime. SAS Institute caters to many industries, including banking, capital markets, communications, education, government, healthcare, insurance, life sciences, manufacturing, and retail. The company has a geographic presence in the Americas, Europe, the Middle East, Africa, and Asia Pacific. SAS Visual Text Analytics is an open platform NLP solution in the AI market provided by SAS Institute that aids in data preparation and visualization, parsing, trend analysis, information extraction, hybrid modeling approaches, sentiment analysis, and flexible deployment with native support for 33 languages.

Microsoft (US):

• A major player in the AI space, Microsoft offers Azure Cognitive Services, a suite of pre-built AI functionalities that can be combined for various applications. These functionalities cover areas like computer vision, natural language processing, and speech recognition, allowing developers to build composite AI solutions.

Google (US):

• Google AI Platform provides a robust foundation for building and deploying composite AI models. It offers pre-trained AI models (APIs) like TensorFlow and Vertex AI, along with tools for data management, model training, and deployment. This allows businesses to integrate various AI capabilities into their solutions.

Amazon Web Services (AWS) (US):

• AWS offers Amazon SageMaker, a platform for building, training, and deploying machine learning models. It provides pre-built algorithms, containers for deploying models, and functionalities for data wrangling and analysis. This facilitates the creation of composite AI solutions on the AWS cloud platform.

Salesforce (US):

• Known for its CRM platform, Salesforce Einstein leverages AI to automate tasks, personalize user experiences, and generate data-driven insights. Einstein integrates various AI capabilities like natural language processing and image recognition, creating a composite AI solution within the Salesforce ecosystem.

BlackSwan Technologies (Israel):

• This company focuses on explainable AI (XAI) solutions. Their technology helps developers understand the reasoning behind AI models, which is crucial for building trustworthy and reliable composite AI applications.

Oracle (US):

• Oracle offers Oracle Autonomous Database with built-in AI functionalities for data management and optimization. Additionally, Oracle Cloud AI offers pre-built AI models and tools for developers to integrate AI capabilities into their applications, creating composite AI solutions.

OpenText (Canada):

• OpenText Magellan is a content management platform with built-in AI capabilities for tasks like document classification, information extraction, and content analysis. This allows businesses to combine AI functionalities for intelligent content management, creating a composite AI approach.

Related Reports:

Composite AI Market by Offering (Software, Hardware, Services), Technique (Data Processing, Pattern Recognition), Application (Product Design & Development, Customer Service), Vertical and Region - Global Forecast to 2028