Adaptive AI market is anticipated to grow at a CAGR of 11.8% during the forecast period (2024-2031). The market growth is attributed to the increasing adoption of adaptive AI to automate and optimize repetitive processes and resource allocation drives the growth of the market. By empowering companies to make more accurate and efficient decisions, adaptive AI has the potential to completely transform the way that decisions are made. Companies may reach their maximum potential and successfully navigate new opportunities by implementing adaptive AI and realizing its vast potential.

Market Dynamics

Integration of AI with Edge Computing Devices Allows For Real-Time Decision-Making 

The increasing integration of AI in edge computing devices allows real-time processing and decision-making, which minimize latency and cut expenses related to power consumption and cloud processing, which are the primary benefits of Adaptive AI. Less raw data is transferred to a public, private, or hybrid cloud for processing when inference is performed locally on the data. For instance, in February 2024, ITOCHU Techno-Solutions Corp. launched a collaboration with Liquid AI, Inc. to improve processing performance on edge devices by leveraging liquid AI's machine learning methods such as liquid neural network (LNN), which enables highly adaptive machine learning with minimal processing power.

Combining Robotic Process Automation (RPA) With Adaptive AI

Automated Edge Together, generative AI and robotic process automation can produce more potent and all-encompassing automation solutions. Such as enhanced chatbots, natural language understanding, AI-driven decision-making, image and document processing, data generation and preprocessing, and intelligent process automation, among others. Large language models built for generative AI, such as ChatGPT, Gemini, and Bing AI, process and produce text that resembles that of a person depending on the input received. They receive training on a wide variety of online literature to help them comprehend and react to a range of queries and topics.

Market Segmentation

Our in-depth analysis of the global adaptive AI market includes the following segments by component, technology, application and end-users:

• Based on components, the market is sub-segmented into platforms and services.

• Based on technology, the market is sub-segmented into machine learning, deep learning, reinforcement learning, natural language processing (NLP) and computer vision.

• Based on application, the market is sub-segmented into real-time adaptive AI, offline learning and adaptation, context-aware adaptation and autonomous decision-making.

• Based on end-user, the market is sub-segmented into BFSI, healthcare & life sciences, IT & telecommunications, aerospace & defense, manufacturing, retail & e-commerce and others (media & entertainment).

Platform is Projected to Emerge as the Largest Segment

Based on the component, the global adaptive AI market is sub-segmented into platforms and services. Among these, platform sub-segment is expected to hold the largest share of the market. The primary factor supporting the segment's growth includes the growing adoption of adaptive AI in manufacturing, retail, finance, and healthcare to accelerate the testing and deployment of advanced AI technologies. Furthermore, AI and ML technologies represent a key element in efforts to transform and streamline operations across a wide range of industries and business areas. For instance, in April 2023, Fujitsu introduced AI platform “Fujitsu Kozuchi,” streamlining access to AI and ML solutions. The new platform enables customers from a wide range of industries including manufacturing, retail, finance, and healthcare to accelerate the testing and deployment of advanced AI technologies for the unique business challenges they face with a portfolio of tools and software components based on Fujitsu’s advanced AI technologies.

Context-Aware Adaptation Sub-segment to Hold a Considerable Market Share

Based on application, the global adaptive AI market is sub-segmented into real-time adaptive AI, offline learning and adaptation, context-aware adaptation and autonomous decision-making. Among these, the context-aware adaptation sub-segment is expected to hold a considerable share of the market. The segmental growth is attributed to the growing adoption of Contextual AI systems to provide more relevant and personalized responses. For instance, in February 2024, Couchbase, Inc. the cloud database platform company introduced vector search as a new feature in Couchbase Capella™ Database-as-a-Service (DBaaS) and Couchbase Server to help businesses bring to market a new class of AI-powered adaptive applications that engage users in a hyper-personalized and contextualized way.

Regional Outlook

The global adaptive AI market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America). 

Increasing Adoption of Adaptive AI in Europe

• According to the Gov.UK, in January 2022, Around 15.0% of all businesses have adopted at least one AI technology, which translates to 432,000 companies. Around 2.0% of businesses are currently piloting AI and 10.0% plan to adopt at least one AI technology in the future, equating to 62,000 and 292,000 businesses respectively.

• The IT and telecommunications (29.5%) and legal (29.2%) sectors currently have the highest rate of adoption, while the sectors hospitality (11.9%), health (11.5%), and retail (11.5%) have adoption rates.

Global  Adaptive AI Market Growth by Region 2024-2031

North America Holds Major Market Share

Among all the regions, North America holds a significant share owing to numerous prominent technology companies and research institutions specializing in image processing and related technologies in the region. In North America, adaptive AI is being employed extensively in the medical field. Adaptive AI in hospitals and other medical facilities enables personalized treatment regimens, predictive analytics, and real-time patient monitoring. Medical experts can always adjust their diagnostic and treatment strategies based on information about individual patients and new findings in the field by using adaptive AI technology. For instance, in January 2024, Caspar.AI introduced contactless vitals & real-time bed monitoring solutions with Arcadia, Shellpoint, and Melur Meadows. Caspar.AI's patient-centric models enable remote healthcare providers to extend their services effectively into both facilities and home environments.

Market Players Outlook

*Note: Major Players Sorted in No Particular Order.

The major companies serving the global adaptive AI market include Amazon Web Services, Inc., Google LLC, IBM Corp., Microsoft Corp., Oracle Corp., among others. The market players are increasingly focusing on business expansion and product development by applying strategies such as collaborations, mergers, and acquisitions to stay competitive in the market. For instance, in March 2024, Usher's New Look (UNL) and IBM Corp. collaborated to provide free career readiness training through IBM SkillsBuild. With a focus on artificial intelligence (AI) and professional workplace skills, IBM provides UNL with training and customized learning plans for student learners.

Recent Development

• In November 2023, APCO introduced adaptive intelligence, AI advisory offering to Help companies navigate business transformation.  To provide better insights over time as well as a comprehensive AI advisory offering to help clients navigate this incredible moment of transformation.

• In October 2023, Digital.ai, the provider of AI-powered software delivery solutions for the enterprise, launched Denali, the latest release of its AI-powered DevSecOps platform, exemplifying its commitment to delivering an open platform tailored to the needs of the modern enterprise.

• In July 2021, Booz Allen Hamilton made a strategic investment in Latent AI, Inc., a rapidly growing company with an award-winning suite of software tools that enable adaptive artificial intelligence (AI) and machine learning (ML) at the edge. Latent AI technologies simplify and accelerate traditional AI workflows, from model training and optimization to enhancing the way AI models are deployed, for more robust, efficient, and agile Internet of Things (IoT) applications that improve user adoption and mission impact.

The Report Covers

• Market value data analysis of 2023 and forecast to 2031.
• Annualized market revenues ($ million) for each market segment.
• Country-wise analysis of major geographical regions.
• Key companies operating in the global adaptive AI market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
• Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
• Analysis of market-entry and market expansion strategies.
• Competitive strategies by identifying ‘who-stands-where’ in the market.