Press release

Artificial Intelligence (AI) Orchestration Global Market Report 2024: Key Players, Demand Patterns And Forecasts 2033

Artificial Intelligence (AI) Orchestration Global Market Report 2024: Key Players, Demand Patterns And Forecasts 2033

 

 
The Business Research Company has updated its global market reports, featuring the latest data for 2024 and projections up to 2062

The Business Research Company offers in-depth market insights through Artificial Intelligence (AI) Orchestration Global Market Report 2024, providing businesses with a competitive advantage by thoroughly analyzing the market structure, including estimates for numerous segments and sub-segments.

Market Size And Growth Forecast:
The artificial intelligence (AI) orchestration market size has grown exponentially in recent years. It will grow from $7.57 billion in 2023 to $9.33 billion in 2024 at a compound annual growth rate (CAGR) of 23.2%. The growth in the historic period can be attributed to rise of cloud computing, surge in big data usage, proliferation of IoT devices, expansion of devops practices, growing need for real-time insights.The artificial intelligence (AI) orchestration market size is expected to see exponential growth in the next few years. It will grow to $21.11 billion in 2028 at a compound annual growth rate (CAGR) of 22.8%. The growth in the forecast period can be attributed to rapid adoption of cloud service, increasing complexity of IT environments, demand for autonomous systems, proliferation of edge computing. Major trends in the forecast period include explainable AI, integration of ai orchestration with DevOps, enhanced security orchestration, edge AI orchestration, AI orchestration for IoT.

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Market Segmentation:
The artificial intelligence (ai) orchestration market covered in this report is segmented -

1) By Component: Services, Solution
2) By Deployment Mode: Cloud, On-Premise
3) By Application: Customer Service Orchestration, Infrastructure Orchestration, Manufacturing Orchestration, Workflow Orchestration, Other Applications
4) By End-Users: Information Technology And Telecommunications, Manufacturing, Healthcare, Banking Financial Services And Insurance (BFSI), Consumer Goods And Retail, Government And Defense, Energy And Utilities, Other End-Users

Major Driver - Impact Of Artificial Intelligence (AI) Orchestration On The Growing Landscape Of Digital Transformation
The rapid digital transformation across industries is expected to propel the growth of the artificial intelligence (AI) orchestration market in the coming years. Digital transformation is the process of leveraging digital technology to alter current or develop new company processes, cultures, and customer experiences to meet changing market and consumer expectations. Artificial intelligence (AI) orchestration promotes the digital shift by effectively integrating and coordinating several AI technologies, reducing workflows, and maximizing resource use, resulting in increased productivity and innovation. For instance, in May 2022, according to the International Business Machines Corporation (IBM), a US-based technology company, around 35% of businesses globally used artificial intelligence (AI) in 2022, which is an increase of 4% from 2021. In addition, there was a 13% increase in organizations adopting artificial intelligence (AI) in 2022 compared to 2021. Therefore, the rapid digital transformation across industries is driving the artificial intelligence (AI) orchestration market.

Competitive Landscape:
Major companies operating in the artificial intelligence (ai) orchestration market report are Oracle Corporation, General Electric Company, International Business Machines Corporation, Cisco Systems Inc, SAP SE, Fujitsu Limited , Hewlett Packard Enterprise Company , Capgemini SE, GE HealthCare Technologies Inc., VMware LLC, Wipro Limited, ServiceNow Inc., Red Hat Inc., Micro Focus International plc, BMC Software Inc, TIBCO Software Inc, Dynatrace Inc., Flexera, HashiCorp, ScienceLogic, CA Technologies Inc, Cloudify, Rapid Acceleration Partners Inc., Activeeon S.A.S., Pandio, HyperSense Software, Botminds AI, ModelOp, CloudFabrix, AltaSigma GmbH

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https://www.thebusinessresearchcompany.com/report/artificial-intelligence-ai-orchestration-global-market-report

Top Trend - Advanced AI-Powered Workflow Orchestration Services Reshaping Business Efficiency
Major companies operating in the artificial intelligence (AI) orchestration market are focusing on technologically advanced products, such as workflow orchestration services, to assist firms with automating, speeding up, and streamlining critical business operations. Workflow orchestration services include the monitoring and coordination of people, digital workers, infrastructure, and data across a process, allowing for the automation, improvement, and streamlining of complicated processes from start to finish. For instance, in January 2024, Kyndryl, Inc., a US-based information technology company, launched Kyndryl Workflow Orchestration services. Kyndryl Workflow Orchestration Services is a generative AI-powered digital workplace solution meant to be a one-stop shop for businesses looking to enhance, optimize, and modernize the digital work experience for their employees and consumers. It was created to assist clients in capitalizing on no-code or low-code technologies that increase business outcomes. The solution uses workflow capabilities and AI automation to coordinate business operations, decrease complexity, shorten cycle times, and optimize ROI by lowering training and development expenses.

The Table Of Content For The Market Report Include:
1. Executive Summary
2. Artificial Intelligence (AI) Orchestration Market Characteristics
3. Artificial Intelligence (AI) Orchestration Market Trends And Strategies
4. Artificial Intelligence (AI) Orchestration Market - Macro Economic Scenario
5. Artificial Intelligence (AI) Orchestration Market Size And Growth
…..
27. Artificial Intelligence (AI) Orchestration Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix

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