Global Adaptive AI Market Size, Share, and COVID-19 Impact Analysis, By Component (Platform, Services), By Application (Real-time Adaptive AI, Offline Learning & Adaptation, Context-aware Adaptation, Autonomous Decision-Making, Others), By Technology (Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing (NLP), Computer Vision), By End Use (BFSI, Healthcare & Life Sciences, IT & Telecommunications, Aerospace & Defense, Manufacturing, Retail & E-commerce, Media & Entertainment, Others), and By Region (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2023 – 2033

Industry: Information & Technology

RELEASE DATE Feb 2024
REPORT ID SI3635
PAGES 200
REPORT FORMAT PathSoft

Global Adaptive AI Market Insights Forecasts to 2033

  • The Global Adaptive AI Market Size was Valued at USD 1034.9 Million in 2023.
  • The Market Size is Growing at a CAGR of 41.1% from 2023 to 2033
  • The Worldwide Adaptive AI Market Size is Expected to Reach USD 32435.5 Million by 2033
  • Asia-Pacific expected to Grow the fastest during the forecast period

 

Global Adaptive AI Market

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The Global Adaptive AI Market Size is Anticipated to Exceed USD 32435.5 Million by 2033, Growing at a CAGR of 41.1% from 2023 to 2033.

 

Market Overview

Adaptive AI enables machines to learn from their mistakes, adjust to changing conditions, and make better decisions. This paradigm shift is changing how AI systems interact with data, reshaping industries, and improving their effectiveness and efficiency. Artificial intelligence has proven to be a powerful tool that can significantly impact companies in a variety of industries. However, the dynamic nature of our rapidly changing environment has made it difficult for traditional machine learning models to keep up, limiting their ability to handle the volume of data generated by the Internet of Things (IoT) and self-driving cars. Because adaptive AI can learn continuously, it is a significant advancement in artificial intelligence. As new data becomes available, adaptive AI models may change and adapt immediately. Because adaptive AI is dynamic, businesses can effectively address the challenges posed by our ever-changing data landscape.

 

Report Coverage

This research report categorizes the market for the global adaptive AI market based on various segments and regions forecasts revenue growth and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the global adaptive AI market. Recent market developments and competitive strategies such as expansion, product launch, and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segment of the global adaptive AI market.

 

Global Adaptive AI Market Report Coverage

Report CoverageDetails
Base Year:2023
Market Size in 2023:USD 1034.9 Million
Forecast Period:2023 - 2033
Forecast Period 2023 - 2033 CAGR:41.1%
2033 Value Projection:USD 32435.5 Million
Historical Data for:2019 - 2022
No. of Pages:200
Tables, Charts & Figures:110
Segments covered:By Component, By Application, By Technology, By End Use, By Region and COVID-19 Impact Analysis.
Companies Covered: Risingmax, Suffescom Solutions, Markovate, Dynam.Ai, Leewayhertz, Cygnus Software, Ness Digital Engineering, Softura, Apexon., General Electric, Siemens AG, ABB Ltd., Schneider Electric SE, IBM Corporation, Cisco Systems, Inc., Oracle Corporation, Itron, Inc., Honeywell International Inc., Eaton Corporation, Landis+Gyr AG, Sensus (Xylem Inc.), Huawei Technologies Co., Ltd., Toshiba Corporation, Aclara Technologies LLC, and Others
Pitfalls & Challenges:COVID-19 Empact, Challenge, Future, Growth, & Analysis

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Driving Factors

The growing volumes of data across various industries act as a catalyst, driving demand for adaptive AI to new heights. Furthermore, as businesses and individuals generate unprecedented amounts of data, adaptive AI systems are in a prime position to capitalize on this wealth of information. The abundance of data creates a rich tapestry from which these systems can learn, adapt, and gain valuable insights. In sectors ranging from healthcare to finance, the sheer volume of data necessitates intelligent solutions capable of navigating and extracting meaningful patterns, making adaptive AI a critical ally in managing and leveraging this data glut. Also, increasing data volumes help to refine adaptive AI algorithms and models. The constant influx of data enables these systems to evolve and improve their decision-making abilities, addressing the dynamic nature of real-world situations. As businesses recognize the transformative power of harnessing massive datasets, the Adaptive AI market is experiencing a surge in demand, positioning itself as an indispensable tool for organizations looking to derive actionable intelligence from an ever-expanding pool of information.

 

Restraining Factors

Ethical and bias issues impose significant constraints on market demand for adaptive AI, undermining trust and hampering widespread adoption. The inherent biases in training data can produce discriminatory results, perpetuating and even exacerbating existing societal biases. This ethical concern not only raises questions about fairness, but it also poses legal and reputational risks to businesses that use adaptive AI solutions. Stakeholders are increasing their demand for transparency and accountability in AI decision-making processes, placing demands on companies to address these ethical issues in order to ensure responsible and equitable use.

 

Market Segmentation

The global adaptive AI market share is classified into component, application, technology and end use

  • The platform segment is expected to hold the largest share of the global adaptive AI market during the forecast period.   

Based on the component, the adaptive AI market is categorized into platform and services. Among these, the platform segment is expected to hold the largest share of the adaptive AI market during the forecast period.  An adaptive AI platform is a cutting-edge method of artificial intelligence that combines dynamic and adaptable learning capabilities. To create systems that can adapt and change over time, it combines sophisticated machine learning and deep learning techniques with more traditional AI approaches.

 

  • The offline learning and adaptation segment is expected to hold the largest share of the global adaptive AI market during the forecast period.   

Based on the application, the global adaptive AI market is divided into real-time adaptive AI, offline learning and adaptation, context-aware adaptation, autonomous decision-making, and others. Among this the offline learning and adaptation segment is expected to grow at fastest pace in the adaptive AI market during the forecast period. The ability of an adaptive AI system to learn and adapt offline is critical because it allows the system to continue improving even when there are no human interactions or real-time data sources available. These procedures ensure that the AI system can function effectively and remain current in dynamic environments. The ability of an AI to increase its knowledge and proficiency through the analysis of pre-collected information or historical data is known as "offline learning." Rather than relying on real-time data streams, it utilizes historical data to enhance its models and tactics.

 

  • The deep learning segment is expected to hold the largest share of the global adaptive AI market during the forecast period.

Based on the technology, the global adaptive AI market is divided into machine learning, deep learning, reinforcement learning, natural language processing (NLP), and computer vision. The deep learning segment is expected to grow at greatest pace in the adaptive AI market during the forecast period. Deep learning algorithms can perform multiple repetitive and routine tasks more efficiently than human beings. Furthermore, it can guarantee the quality of the work and offer additional features such as key insights. Thus, implementing deep learning in organizations can save time and money, allowing employees to focus on creative tasks that require human participation. As a result, deep learning is regarded as a disruptive technology in a variety of end-use industries, driving up technology demand during the forecast period.

 

  • The BFSI segment is expected to hold the largest share of the global adaptive AI market during the forecast period.

Based on the end use, the global adaptive AI market is divided into BFSI, healthcare & life sciences, IT & telecommunications, aerospace & defense, manufacturing, retail & e-commerce, media & entertainment, and others. The BFSI segment is expected to grow at greatest pace in the adaptive AI market during the forecast period. Fraudulent activity poses a persistent threat to financial institutions. The ability of adaptive AI to scan massive amounts of data, identify patterns, and detect abnormalities in real time enables proactive fraud detection and prevention. Furthermore, by analyzing consumer data, adaptive AI systems can provide highly personalized banking experiences. Adaptive AI enhances client happiness and engagement by providing personalized financial advice and product recommendations.

 

Regional Segment Analysis of the Global Adaptive AI Market

  • North America (U.S., Canada, Mexico) 
  • Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
  • Asia-Pacific (China, Japan, India, Rest of APAC)
  • South America (Brazil and the Rest of South America) 
  • The Middle East and Africa (UAE, South Africa, Rest of MEA)

 

North America is anticipated to hold the largest share of the global adaptive AI market over the predicted timeframe.

 

Global Adaptive AI Market

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North America is projected to hold the largest share of the global adaptive AI market over the predicted years. Adaptive AI is widely used in North American healthcare settings. Adaptive AI allows hospitals and other medical facilities to provide personalized treatment plans, predictive analytics, and real-time patient monitoring. Because of technological advancements, medical professionals can constantly modify their diagnostic and treatment plans in light of new findings in the field and information about specific patients. Furthermore, Adaptive AI is critical to the development of robots, drones, and self-driving vehicles in North America. Businesses are using this technology to enable robots to perform difficult tasks while adapting to changing conditions in urban and industrial settings, self-driving cars to make real-time decisions, and drones to navigate dynamic environments.

 

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the global adaptive AI along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

 

List of Key Companies

  • Risingmax
  • Suffescom Solutions
  • Markovate
  • Dynam.Ai
  • Leewayhertz
  • Cygnus Software
  • Ness Digital Engineering
  • Softura
  • Apexon.
  • General Electric
  • Siemens AG
  • ABB Ltd.
  • Schneider Electric SE
  • IBM Corporation
  • Cisco Systems, Inc.
  • Oracle Corporation
  • Itron, Inc.
  • Honeywell International Inc.
  • Eaton Corporation
  • Landis+Gyr AG
  • Sensus (Xylem Inc.)
  • Huawei Technologies Co., Ltd.
  • Toshiba Corporation
  • Aclara Technologies LLC
  • Others

 

Key Target Audience

  • Market Players
  • Investors
  • End-users
  • Government Authorities 
  • Consulting And Research Firm
  • Venture capitalists
  • Value-Added Resellers (VARs)

 

Recent Developments

  • In February 2023, SAS Institute Inc. joined the Clean Energy Smart Manufacturing Innovation Institute (CESMII), a Smart Manufacturing Institute. This collaboration aims to accelerate the use of advanced analytics and artificial intelligence (AI) in the manufacturing sector.

 

  • In October 2022, Delta Bravo Artificial Intelligence Inc. has joined the Cisco Digital Solutions Integrator (DSI) program. Delta Bravo was chosen as a strategic partner from Cisco's global network and works with Cisco to provide manufacturing clients with cutting-edge network and security architecture.

 

Market Segment

This study forecasts revenue at global, regional, and country levels from 2020 to 2033. Spherical Insights has segmented the Global Adaptive AI Market based on the below-mentioned segments: 

 

Global Adaptive AI Market, By Component

  • Platform
  • Services

 

Global Adaptive AI Market, By Application

  • Real-time Adaptive AI
  • Offline Learning and Adaptation
  • Context-aware Adaptation
  • Autonomous Decision-Making
  • Others

 

Global Adaptive AI Market, By Technology

  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Natural Language Processing (NLP)
  • Computer Vision

 

Global Adaptive AI Market, By End Use

  • BFSI
  • Healthcare & Life Sciences
  • IT & Telecommunications
  • Aerospace & Defense
  • Manufacturing
  • Retail & E-commerce
  • Media & Entertainment
  • Others

 

Global Adaptive AI Market, By Region

  • North America
  • US
  • Canada
  • Mexico
  • Europe
  • Germany
  • Uk
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Rest of Asia Pacific
  • South America
  • Brazil
  • Argentina
  • Rest of South America
  • Middle East & Africa
  • UAE
  • Saudi Arabia
  • Qatar
  • South Africa
  • Rest of the Middle East & Africa

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