Global Enterprise Artificial Intelligence Market Opportunities 2024, Forecast To 2033

20 Feb, 2024

The enterprise artificial intelligence market has experienced exponential growth, rising from $14.74 billion in 2023 to $20.78 billion in 2024, with a CAGR of 41.0%. The forecast predicts continued exponential growth, reaching $82.55 billion in 2028 with a CAGR of 41.2%. Growth drivers include increased advances in machine learning algorithms, growth in big data and data analytics, expansion of cloud computing, increase in computing power and processing speed, and adoption of AI in business process automation. Major trends in the forecast period include the development of AI-driven chatbots and virtual assistants, integration of AI with the Internet of Things (IoT), the rise of edge AI for real-time processing, adoption of AI in supply chain and logistics, and a focus on AI-powered personalization in customer experience.

Global Enterprise Artificial Intelligence Market Key Driver

The increasing adoption of artificial intelligence (AI) is a key driver for the enterprise artificial intelligence market. Organizations are integrating AI technologies to enhance efficiency and decision-making processes, with a significant percentage already using or planning to adopt AI.

Get A Free Sample Of The Global Enterprise Artificial Intelligence Market Report

Global Enterprise Artificial Intelligence Market Segments

The enterprise artificial intelligence market covered in this report is segmented –
1)By Component: Solution, Service
2)By Technology: Machine Learning, Natural Language Processing (NLP), Image Processing, Speech Recognition
3)By Deployment Type: Cloud, On-Premise
4)By Application: Security And Risk Management, Marketing Management, Customer Support And Experience, Human Resource And Recruitment Management, Analytics Application, Process Automation
5)By Industry: Retail, Healthcare, Automotive, Banking And Financial Services, Media And Entertainment, Other Industries
By Geography: The regions covered in the template market report are Asia-Pacific, Western Europe, Eastern Europe,North America, South America, Middle East, and Africa. Among these regions. North America was the largest region in the enterprise artificial intelligence market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the enterprise artificial intelligence market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

Major Enterprise Artificial Intelligence Industry Players

International Business Machines (IBM); Wipro Limited; Amazon Web Services; Intel Corporation; Google LLC; SAP SE; Sentinent Technologies; Oracle Corporation; Hewlett Packard Enterprise; IPsoft Inc.; MicroStrategy Incorporated; NVIDIA Corporation; Verint Systems Inc.; SAS Institute Inc.; Accenture plc; Appen Limited.; Dataiku Ltd.; DataRobot Inc.; Dell Technologies Inc.; Deloitte Touche Tohmatsu Limited; Freenome Holdings Inc.; Infosys Limited; KPMG International Limited; Mindtree Limited; NTT DATA Group Corporation; Palantir Technologies; PricewaterhouseCoopers International Ltd.; Salesforce Inc.; Samsung Group

Get The Full Global Enterprise Artificial Intelligence Market Report

Enterprise Artificial Intelligence Market Overview

Enterprise AI is a subcategory of the business system that utilises cutting-edge AI methods to promote digital transformation. A new technological stack is needed for the large-scale development and deployment of enterprise AI. It is used to automate tasks, improve data-driven decision-making, and produce better insights.

Enterprise Artificial Intelligence Global Market Report 2023 provides data on the global enterprise artificial intelligence market such as market size, growth forecasts, segments and geographies, competitive landscape including leading competitors’ revenues, profiles and market shares. The enterprise artificial intelligence market report identifies opportunities and strategies based on market trends and leading competitors’ approaches.