Press release
Artificial Intelligence (AI) Orchestration Market Forecast 2025-2034: Evaluating Growth Factors, Segments, and Emerging Trends
Which drivers are expected to have the greatest impact on the over the artificial intelligence (ai) orchestration market's growth?The accelerated adoption of digital technology across various sectors is projected to stimulate the expansion of the artificial intelligence (AI) orchestration market in the upcoming years. Digital transformation involves the utilization of digital technology to modify or create new business processes, cultures, and customer interactions to meet evolving market and consumer needs. AI orchestration facilitates this digital conversion by effectively amalgamating and managing multiple AI technologies, streamlining workflows and optimizing resource usage, leading to enhanced productivity and innovation. For example, the International Business Machines Corporation (IBM), a US technology company, stated in May 2022 that approximately 35% of businesses worldwide utilized AI in 2022, marking a growth of 4% from 2021. Furthermore, the adoption of AI in companies saw a remarkable 13% rise in 2022 compared to 2021. Hence, the accelerated digitization in varied industries is propelling the growth of the AI orchestration market.
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What is the future CAGR of the artificial intelligence (ai) orchestration market, and how will it impact industry expansion?
The market size of artificial intelligence (AI) orchestration has experienced a rapid expansion in the past few years. It is projected to spread from $9.33 billion in 2024, elevating to $11.47 billion in 2025 with a compound annual growth rate (CAGR) of 23.0%. The historic growth has been driven by factors including the rise of cloud computing, an increase in big data usage, the proliferation of IoT devices, the widening of DevOps practices, and the growing demand for real-time insights.
Forecasts indicate that the artificial intelligence (AI) orchestration market is set to experience a surge in its size over the coming years. The projections suggest it will escalate to $26.09 billion by 2029, expanding at a compound annual growth rate (CAGR) of 22.8%. This growth during the forecast period is believed to be propelled by the swift acceptance of cloud services, increasing intricacy of IT landscapes, demand for self-operating systems, and the spread of edge computing. The forecast period is also expected to witness major trends such as interpretable AI, the convergence of AI orchestration with DevOps, heightened security orchestration, edge AI orchestration, and AI orchestration for IoT.
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What trends are poised to drive the future success of the artificial intelligence (ai) orchestration market?
Leading companies in the AI orchestration industry are turning their focus towards developing state-of-the-art products, such as workflow orchestration services. These services are designed to help businesses automate, quicken, and simplify key operational procedures. Workflow orchestration services entail supervising and coordinating human and digital workers, infrastructure, and data throughout a process which, in turn paves a way for automation, enhancement and simplification of complex operations from beginning to end. An example of this is Kyndryl, Inc., an information technology firm based in the U.S., which in January 2024, introduced Kyndryl Workflow Orchestration services. This is a generative AI-supported digital work environment solution intended to be a comprehensive hub for businesses aiming to improve, streamline, and modernise the digital work experience of their workforce and customer-base. This solution was developed with the aim to aid customers in leveraging no-code or low-code technologies to boost their commercial results. The solution employs workflow abilities and AI automation to direct business operations, reduce intricacy, cut down cycle times, and increase ROI by reducing costs related to training and development.
Which key market segments comprise the artificial intelligence (ai) orchestration market and drive its revenue growth?
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 regions are at the forefront of artificial intelligence (ai) orchestration market expansion?
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.
Who are the leading players fueling growth in 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
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What Is Covered In The Artificial Intelligence (AI) Orchestration Global Market Report?
• Market Size Forecast: Examine the artificial intelligence (ai) orchestration market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) orchestration market for a structured understanding.
• Key Players Overview: Analyze major players in the artificial intelligence (ai) orchestration market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) orchestration market.
• Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) orchestration market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) orchestration market.
• Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) orchestration market.
• Competitive Landscape: Review strategic developments in the artificial intelligence (ai) orchestration market, including expansions, agreements, and new product launches.
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