Enterprise Artificial Intelligence Market Global growth drivers, Outlook And Forecast To 2033

The enterprise artificial intelligence global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Enterprise Artificial Intelligence Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

The enterprise artificial intelligence market size has grown exponentially in recent years. It will grow from $14.74 billion in 2023 to $20.78 billion in 2024 at a compound annual growth rate (CAGR) of 41.0%. The growth in the historic period can be attributed to increased advances in machine learning algorithms, growth in big data and data analytics, expansion of cloud computing, increase in computing power and processing speed, adoption of ai in business process automation.

The enterprise artificial intelligence market size is expected to see exponential growth in the next few years. It will grow to $82.55 billion in 2028 at a compound annual growth rate (CAGR) of 41.2%. The growth in the forecast period can be attributed to integration of ai in cybersecurity solutions, growth in explainable ai for transparency, increased adoption of ai in human resources, expansion of ai in healthcare and life sciences, emphasis on responsible and ethical ai practices. Major trends in the forecast period include development of ai-driven chatbots and virtual assistants, integration of ai with internet of things (iot), rise of edge ai for real-time processing, adoption of ai in supply chain and logistics, focus on ai-powered personalization in customer experience.

The Business Research Company’s reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

The increasing adoption of AI is expected to propel the growth of the enterprise artificial intelligence market going forward. Artificial intelligence refers to the simulation of human intelligence processes by machines, especially computer systems for analysing enormous volumes of data. Adopting AI improves the efficiency with which things are done and dramatically improves the decision-making process in enterprises of various sizes. For instance, in May 2022, according to the IBM Global AI Adoption Index 2022, by International Business Machines Corporation, a US-based technological company, 35% of organizations stated they use AI in their company, while another 42% said they are looking into it in 2022. AI adoption is constantly increasing, with a four-point increase since 2021. Therefore, the increasing adoption of AI is driving the enterprise artificial intelligence market growth.

Product innovations have emerged as the key trend gaining popularity in the 5G chipset market. The major players in the market are developing innovative products for market growth. For instance, in June 2021, Samsung Electronics, a South Korea-based electronics company, developed 3GPP Rel.16 compliant chipsets, a range of next-generation 5G chipsets that deliver cutting-edge 5G technologies. The new chipsets consist of a second-generation 5G modem System-on-Chip (SoC), a third-generation mmWave Radio Frequency Integrated Circuit (RFIC) chip, and a Digital Front End (DFE)-RFIC integrated chip. These are designed to increase power efficiency, boost performance, and reduce the size of 5G solutions.

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

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 companies operating in the enterprise artificial intelligence market report are 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

1. Executive Summary

2. Enterprise Artificial Intelligence Market Report Structure

3. Enterprise Artificial Intelligence Market Trends And Strategies

4. Enterprise Artificial Intelligence Market – Macro Economic Scenario

5. Enterprise Artificial Intelligence Market Size And Growth

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27. Enterprise Artificial Intelligence Market Competitor Landscape And Company Profiles

28. Key Mergers And Acquisitions

29. Future Outlook and Potential Analysis

30. Appendix

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