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How have key drivers contributed to the rapid growth of the artificial intelligence (ai) orchestration market?
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.
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How has the artificial intelligence (ai) orchestration market size evolved, and what are the latest forecasts for its expansion?
The artificial intelligence (AI) orchestration market size has grown exponentially in recent years. It will grow from $9.33 billion in 2024 to $11.47 billion in 2025 at a compound annual growth rate (CAGR) of 23.0%. 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 $26.09 billion in 2029 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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Which major companies dominate the artificial intelligence (ai) orchestration market?
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
What trends will shape the future of the artificial intelligence (ai) in video surveillance market?
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.
Which region dominates the artificial intelligence (ai) orchestration market, and what factors contribute to its leadership?
North America was the largest region in the artificial intelligence (AI) orchestration market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) orchestration market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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How is the artificial intelligence (ai) orchestration market segmented, and which segment holds the largest share?
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
Subsegments:
1) By Services: Consulting Services, Integration And Deployment Services, Support And Maintenance Services
2) By Solution: Cloud-Based AI Orchestration, On-Premises AI Orchestration
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What defines the structure and scope of the artificial intelligence (ai) orchestration market?
Artificial intelligence (AI) orchestration is a method of organizing and overseeing the installation, integration, and interaction of different machine learning (ML) and artificial intelligence (AI) models, processes, and data pipelines. Artificial intelligence (AI) orchestration improves the deployment and administration of AI technologies, increasing their usefulness and influence in a variety of settings and sectors.
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