GVR Report cover AI Orchestration Market Size, Share & Trends Report

AI Orchestration Market Size, Share & Trends Analysis Report By Region And Segment Forecasts, 2022 To 2030

  • Report ID: GVR453285
  • Number of Pages: 0
  • Format: Electronic (PDF)

Artificial Intelligence (AI) orchestration has emerged as the next big thing to automate various tasks through the cloud, data centers, and ERP systems. Orchestration has the innate ability to help companies boost efficiency, save time, leverage growth and scalability. State-of-the-art technologies, such as AI and machine learning, have set the trend in insight generation, model building, and data preparation.

The need for leveraging AI for business transformation has brought a seismic shift in the operationalization of AI platforms, such as AI orchestration. With a host of organizations taking the modernization of internal operations to the next level with increased agility, orchestration could break the silos to foster digital transformation. To put things in perspective, AI orchestration will help organizations boost automated decision intelligence.

The orchestration platform can streamline workflows to access libraries, manage analytical use cases, augment innovation through an AI-driven decision approach and minimize infrastructure management time. The next decade is ripe for innovations and leading companies could explore promising opportunities in the global AI orchestration industry.

Market Outlook

AI orchestration has become invaluable in turning information into better actions by adopting decision intelligence. Traditional companies are poised to shift their attention to AI to interact with customers on any digital channel. Industry players are likely to exhibit traction for AI orchestration to provide a single interface to coordinate notification-style messages seamlessly. The strategic approach could foster real-time automation and propel customer data and machine learning predictions. To illustrate, the technology can help companies message each customer at the exact time they could be most likely to engage.

AI-powered orchestration has gained immense prominence to boost brand value by creating better RoI, bolstering behavioral data, and cashing in on the existing technology investments. Businesses are likely to use the technology to establish AI models robustly, identify relationships within the data and connect live data sources.

Market Opportunity

It is a thing of the past to perceive that AI is confined merely to the experts. AI orchestration platforms can help users with no coding knowledge by building and interpreting AI models. Major players are poised to bank on the platform to provide seamless insights and simplify data discovery with increased accuracy.

Some use cases of orchestration, such as cloud, IT, and DevOps, have augured well for the industry growth. For instance, cloud orchestration has gained impetus to coordinate automated activities and streamline performance monitoring, scaling, and policy checks. Moreover, orchestration could foster configuration, coordinate computer systems, and coordinate among teams to reduce the potential risks of errors.

Forward-thinking companies have realized AI's value in generating actionable insights and assessing complex datasets. There are opportunities galore to propel business agility through the adoption of AI orchestration.

Healthcare Industry Cash in on AI Orchestration

The havoc wrecked by the COVID-19 pandemic has changed the dynamics of the healthcare sector globally. The outbreak furthered the need for an agile approach to surmount challenges across clinical settings. Healthcare organizations are anticipated to rev up AI orchestration adoption to bolster quality, efficiency, and resourcing. AI orchestration has received impetus for easy configuration of workflow to boost the deployment of AI-based and non-AI-based clinical applications and minimize repetitive workload. The healthcare sector will exhibit profound demand for orchestration tools to execute automated ML workflow seamlessly.

The cost-saving and efficiency attributes of AI in clinical decision support, diagnostic imaging, and precision medicine will foster the penetration of the orchestration of AI. With the need for AI solutions gaining hold in the healthcare settings, emphasis on orchestration will optimize the management of the data flow.

It is worth noting that AI orchestration will also be sought to do away with technological shortcomings and other bottlenecks, including obstacles from data highways that may dent radiologic throughput and efficiency and halt clinical care. It is worth mentioning that along with the healthcare sector, BFSI, media & entertainment, IT & telecom, energy & utilities, and consumer goods sectors will also be the major markets for AI orchestration.

Competitive Outlook

The competitive rivalry is such that forward-looking companies could expand their product portfolios and invest in innovations. Major players are poised to inject funds into organic and inorganic strategies to tap into the global markets. Some of the leading companies, such as HyperSense Software, Run:AI, Pandio, Union.ai, SAP, BMC Software and Cisco, among others, are likely to augment their geographical footprint and product offerings.

Given that startups and large organizations are grappling with the high cost and talent needed to scale and build AI, industry participants are expected to infuse funds into AI orchestration to boost data-powered decision-making. Some of the major industry developments reshaping the global dynamics are highlighted below:

  • March 2022: Run:AI, an Israeli startup, raised USD 75 million in a Series C round to develop an AI infrastructure orchestration and management platform.

  • April 2022: Union.ai raised USD 10 million to streamline AI and ML workflow orchestration by boosting Flyte's performance, accessibility and reliability.

  • August 2021: Pandio announced the rollout of Presto as a Service Platform for enterprise businesses. The company believes its managed service will solve the complexity of orchestrating data over a distributed network.

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