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アダプティブAIの世界市場、2024～2031年

Global Adaptive AI Market 2024-2031

出版日
ページ情報
英文 100 Pages
納期
2～3営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.99円
アダプティブAIの世界市場、2024～2031年
出版日: 2024年04月08日
発行: Orion Market Research
ページ情報: 英文 100 Pages
納期: 2～3営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

アダプティブAI市場は予測期間（2024-2031年）にCAGR 11.8％で成長すると予測されます。市場の成長は、反復的なプロセスとリソース配分を自動化および最適化するためにアダプティブAIの採用が増加していることに起因しています。企業がより正確で効率的な意思決定を行えるようにすることで、アダプティブAIは意思決定の方法を完全に変革する可能性を秘めています。企業は、アダプティブAIを導入し、その膨大な可能性を実現することで、潜在能力を最大限に引き出し、新たな機会をうまく切り開くことができると思われます。

市場力学

エッジ・コンピューティング・デバイスとAIの統合がリアルタイム意思決定を可能にする

エッジ・コンピューティング・デバイスへのAIの統合が進むことで、リアルタイムの処理と意思決定が可能になり、レイテンシーが最小限に抑えられ、アダプティブAIの主なメリットである電力消費とクラウド処理に関連する費用が削減されます。データに対してローカルで推論が実行される場合、処理のためにパブリック、プライベート、またはハイブリッド・クラウドに転送される生データは少なくなります。例えば、伊藤忠テクノソリューションズ株式会社は2024年2月、Liquid AI, Inc.と協業を開始し、リキッドAIの機械学習手法であるリキッドニューラルネットワーク（LNN）を活用することで、最小限の処理能力で適応性の高い機械学習を実現し、エッジデバイスの処理性能を向上させています。

ロボティック・プロセス・オートメーション（RPA）とアダプティブAIの融合

Automated EdgeジェネレーティブAIとロボティック・プロセス・オートメーションを組み合わせることで、より強力で包括的な自動化ソリューションを生み出すことができます。強化されたチャットボット、自然言語理解、AI主導の意思決定、画像・文書処理、データ生成・前処理、インテリジェント・プロセス・オートメーションなどです。ChatGPT、Gemini、Bing AIなど、生成AIのために構築された大規模な言語モデルは、受け取った入力に応じて人に似たテキストを処理し、生成します。彼らは、様々なクエリやトピックを理解し反応できるように、様々なオンライン文献に関するトレーニングを受けています。

市場セグメンテーション

アダプティブAIの世界市場を詳細に分析すると、コンポーネント、テクノロジー、アプリケーション、エンドユーザー別に以下のように区分される：

  • コンポーネントに基づき、市場はプラットフォームとサービスに細分化されます。
  • 技術別では、機械学習、ディープラーニング、強化学習、自然言語処理（NLP）、コンピュータビジョンに細分化されます。
  • アプリケーションに基づくと、市場はリアルタイム適応AI、オフライン学習と適応、コンテキスト認識適応、自律的意思決定に細分化されます。
  • エンドユーザーに基づくと、市場はBFSI、ヘルスケア・ライフサイエンス、IT・通信、航空宇宙・防衛、製造、小売・eコマース、その他（メディア・エンターテインメント）に細分化されます。

プラットフォームが最大セグメントと予測

構成要素に基づき、世界のアダプティブAI市場はプラットフォームとサービスに細分化されます。このうち、プラットフォームのサブセグメントが市場で最大のシェアを占めると予測されます。このセグメントの成長を支える主な要因には、先進的なAI技術のテストと展開を加速するために、製造、小売、金融、ヘルスケアでアダプティブAIの採用が拡大していることが挙げられます。さらに、AIとML技術は、幅広い産業や事業分野にわたって業務を変革し合理化する取り組みにおいて重要な要素となっています。例えば、富士通は2023年4月にAIプラットフォーム「FUJITSU KOZUCHI」を導入し、AIおよびMLソリューションへのアクセスを効率化しました。この新プラットフォームにより、製造、小売、金融、ヘルスケアなど幅広い業界の顧客は、富士通の高度なAI技術に基づくツールやソフトウェアコンポーネントのポートフォリオにより、各社が直面する固有のビジネス課題に対する高度なAI技術のテストと展開を加速することができます。

コンテキストアウェア適応サブセグメントが大きな市場シェアを占める

アプリケーションに基づき、世界のアダプティブAI市場はリアルタイムアダプティブAI、オフライン学習と適応、コンテキスト認識適応、自律的意思決定に細分化されます。このうち、コンテキスト認識適応サブセグメントが市場でかなりのシェアを占めると予想されます。このセグメントの成長は、より適切でパーソナライズされた応答を提供するために、コンテキストAIシステムの採用が拡大していることに起因しています。例えば、2024年2月、クラウドデータベースプラットフォーム企業であるCouchbase, Inc.は、Couchbase Capella（TM）Database-as-a-Service（DBaaS）およびCouchbase Serverの新機能としてベクトル検索を導入し、超パーソナライズされたコンテキスト対応でユーザーを魅了する新しいクラスのAI搭載アダプティブアプリケーションを企業が市場に投入できるように支援しました。

地域別展望

世界のアダプティブAI市場は、北米（米国、カナダ）、欧州（英国、イタリア、スペイン、ドイツ、フランス、その他欧州地域）、アジア太平洋地域（インド、中国、日本、韓国、その他アジア地域）、世界のその他の地域（中東とアフリカ、ラテンアメリカ）を含む地域別にさらに区分されます。

欧州におけるアダプティブAIの採用増加

  • Gov.UKによると、2022年1月には、全企業の約15.0%が少なくとも1つのAI技術を導入しており、これは432,000社に相当します。現在AIを試験的に導入している企業は約2.0%、今後少なくとも1つのAI技術を導入する予定の企業は10.0%で、それぞれ6万2,000社、29万2,000社に相当します。
  • 現在、IT・通信（29.5％）と法務（29.2％）セクターの採用率が最も高く、ホスピタリティ（11.9％）、ヘルス（11.5％）、リテール（11.5％）セクターの採用率が高いです。

アダプティブAIの世界市場の成長：地域別、2024～2031年

北米が主要市場シェアを占める

全地域の中で北米が大きなシェアを占めているのは、同地域に画像処理や関連技術を専門とする多数の著名なテクノロジー企業や研究機関があるためです。北米では、アダプティブAIは医療分野で広く採用されています。病院やその他の医療施設におけるアダプティブAIは、個別化された治療レジメン、予測分析、リアルタイムの患者モニタリングを可能にします。医療専門家は、アダプティブAI技術を利用することで、個々の患者に関する情報や現場での新たな知見に基づいて、診断・治療戦略を常に調整することができます。例えば、2024年1月、Caspar.AIはArcadia、Shellpoint、Melur Meadowsと非接触バイタル＆リアルタイムベッドモニタリングソリューションを導入しました。Caspar.Aiの患者中心モデルは、遠隔地のヘルスケアプロバイダーが施設と家庭環境の両方にサービスを効果的に拡大することを可能にします。

目次

第1章 レポート概要

  • 業界の現状分析と成長ポテンシャルの展望
  • 調査方法とツール
  • 市場内訳
    • セグメント別
    • 地域別

第2章 市場概要と洞察

  • 調査範囲
  • アナリストの洞察と現在の市場動向
    • 主な調査結果
    • 推奨事項
    • 結論

第3章 競合情勢

  • 主要企業分析
  • Dun & Bradstreet Corp.
  • Google LLC
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • IBM Corp.
    • 会社概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • Microsoft Corp.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • 主要戦略分析

第4章 市場セグメンテーション

  • アダプティブAIの世界市場：コンポーネント別
    • プラットフォーム
    • サービス別
  • アダプティブAIの世界市場：技術別
    • 機械学習
    • ディープラーニング
    • 強化学習
    • 自然言語処理（NLP）
    • コンピュータビジョン
  • アダプティブAIの世界市場：用途別
    • リアルタイム、アダプティブAI
    • オフライン学習と適応
    • コンテキストを意識した適応
    • 自律的意思決定
  • アダプティブAIの世界市場：エンドユーザー別
    • BFSI
    • ヘルスケア＆ライフサイエンス
    • IT・通信
    • 航空宇宙・防衛
    • 製造業
    • 小売＆eコマース
    • その他（メディア＆エンターテインメント）

第5章 地域分析

  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • イタリア
    • スペイン
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • 世界のその他の地域

第6章 企業プロファイル

  • Accenture plc
  • Altair Engineering Inc.
  • Amazon Web Services, Inc.
  • Apple Inc.
  • Baidu, Inc.
  • Cloudester Software LLP
  • Cognizant
  • DuploCloud, Inc.
  • Intel Corp.
  • LeewayHertz
  • Matellio Inc.
  • NVIDIA Corp.
  • OpenAI OpCo, LLC
  • Oracle Corp.
  • Parangat Technologies Pvt. Ltd.
  • SAP SE
  • Turing Enterprises, Inc.
  • XenonStack Pvt. Ltd.
図表

LIST OF TABLES

  • 1.GLOBAL ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2023-2031 ($ MILLION)
  • 2.GLOBAL ADAPTIVE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 3.GLOBAL ADAPTIVE AI SERVICE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 4.GLOBAL ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
  • 5.GLOBAL ADAPTIVE AI MACHINE LEARNING MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 6.GLOBAL ADAPTIVE AI DEEP LEARNING MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 7.GLOBAL ADAPTIVE AI REINFORCEMENT LEARNING MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 8.GLOBAL ADAPTIVE AI NATURAL LANGUAGE PROCESSING (NLP) MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 9.GLOBAL ADAPTIVE AI COMPUTER VISION MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 10.GLOBAL ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2031 ($ MILLION)
  • 11.GLOBAL ADAPTIVE AI FOR REAL-TIME MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 12.GLOBAL ADAPTIVE AI FOR OFFLINE LEARNING AND ADAPTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 13.GLOBAL ADAPTIVE AI FOR CONTEXT-AWARE ADAPTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 14.GLOBAL ADAPTIVE AI FOR AUTONOMOUS DECISION-MAKING MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 15.GLOBAL ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY END-USERS, 2023-2031 ($ MILLION)
  • 16.GLOBAL ADAPTIVE AI FOR BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 17.GLOBAL ADAPTIVE AI FOR HEALTHCARE & LIFE SCIENCES MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 18.GLOBAL ADAPTIVE AI FOR IT & TELECOM MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 19.GLOBAL ADAPTIVE AI FOR AEROSPACE & DEFENSE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 20.GLOBAL ADAPTIVE AI FOR MANUFACTURING MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 21.GLOBAL ADAPTIVE AI FOR RETAIL & E-COMMERCE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 22.GLOBAL ADAPTIVE AI FOR OTHERS END-USERS MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 23.GLOBAL ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 24.NORTH AMERICAN ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2031 ($ MILLION)
  • 25.NORTH AMERICAN ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2023-2031 ($ MILLION)
  • 26.NORTH AMERICAN ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
  • 27.NORTH AMERICAN ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2031 ($ MILLION)
  • 28.NORTH AMERICAN ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY END-USERS, 2023-2031 ($ MILLION)
  • 29.EUROPEAN ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2031 ($ MILLION)
  • 30.EUROPEAN ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2023-2031 ($ MILLION)
  • 31.EUROPEAN ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
  • 32.EUROPEAN ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2031 ($ MILLION)
  • 33.EUROPEAN ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY END-USERS, 2023-2031 ($ MILLION)
  • 34.ASIA-PACIFIC ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2031 ($ MILLION)
  • 35.ASIA-PACIFIC ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2023-2031 ($ MILLION)
  • 36.ASIA-PACIFIC ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
  • 37.ASIA-PACIFIC ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2031 ($ MILLION)
  • 38.ASIA-PACIFIC ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY END-USERS, 2023-2031 ($ MILLION)
  • 39.REST OF THE WORLD ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
  • 40.REST OF THE WORLD ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2023-2031 ($ MILLION)
  • 41.REST OF THE WORLD ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
  • 42.REST OF THE WORLD ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2023-2031 ($ MILLION)
  • 43.REST OF THE WORLD ADAPTIVE AI MARKET RESEARCH AND ANALYSIS BY END-USERS, 2023-2031 ($ MILLION)

LIST OF FIGURES

  • 1.GLOBAL ADAPTIVE AI MARKET SHARE BY COMPONENT, 2023 VS 2031 (%)
  • 2.GLOBAL ADAPTIVE AI PLATFORM MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 3.GLOBAL ADAPTIVE AI SERVICE MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 4.GLOBAL ADAPTIVE AI MARKET SHARE BY TECHNOLOGY, 2023 VS 2031 (%)
  • 5.GLOBAL ADAPTIVE AI MACHINE LEARNING MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 6.GLOBAL ADAPTIVE AI DEEP LEARNING MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 7.GLOBAL ADAPTIVE AI REINFORCEMENT LEARNING MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 8.GLOBAL ADAPTIVE AI NATURAL LANGUAGE PROCESSING (NLP) MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 9.GLOBAL ADAPTIVE AI COMPUTER VISION MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 10.GLOBAL ADAPTIVE AI MARKET SHARE BY APPLICATION, 2023 VS 2031 (%)
  • 11.GLOBAL ADAPTIVE AI FOR REAL-TIME MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 12.GLOBAL ADAPTIVE AI FOR OFFLINE LEARNING AND ADAPTATION MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 13.GLOBAL ADAPTIVE AI FOR CONTEXT-AWARE ADAPTATION MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 14.GLOBAL ADAPTIVE AI FOR AUTONOMOUS DECISION-MAKING MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 15.GLOBAL ADAPTIVE AI MARKET SHARE BY END-USERS, 2023 VS 2031 (%)
  • 16.GLOBAL ADAPTIVE AI FOR BFSI MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 17.GLOBAL ADAPTIVE AI FOR HEALTHCARE & LIFE SCIENCES MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 18.GLOBAL ADAPTIVE AI FOR IT & TELECOMMUNICATIONS MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 19.GLOBAL ADAPTIVE AI FOR AEROSPACE & DEFENSE MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 20.GLOBAL ADAPTIVE AI FOR MANUFACTURING MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 21.GLOBAL ADAPTIVE AI FOR RETAIL & E-COMMERCE MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 22.GLOBAL ADAPTIVE AI FOR OTHER END-USERS MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 23.GLOBAL ADAPTIVE AI MARKET SHARE BY REGION, 2023 VS 2031 (%)
  • 24.US ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 25.CANADA ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 26.UK ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 27.FRANCE ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 28.GERMANY ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 29.ITALY ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 30.SPAIN ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 31.REST OF EUROPE ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 32.INDIA ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 33.CHINA ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 34.JAPAN ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 35.SOUTH KOREA ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 36.REST OF ASIA-PACIFIC ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 37.LATIN AMERICA ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
  • 38.MIDDLE EAST AND AFRICA ADAPTIVE AI MARKET SIZE, 2023-2031 ($ MILLION)
目次
Product Code: OMR2028238

Adaptive AI Market Size, Share & Trends Analysis Report by Component (Platform and Services), by Technology (Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing (NLP) and Computer Vision), by Application (Real-time Adaptive AI, Offline Learning and Adaptation, Context-aware Adaptation and Autonomous Decision-Making) and by End-User (BFSI, Healthcare & Life Sciences, IT & Telecommunications, Aerospace & Defense, Manufacturing, Retail & E-commerce and Others) Forecast Period (2024-2031)

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(TM) 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

Source: OMR Analysis

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.

Table of Contents

1.Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1.Research Methods and Tools
  • 1.2.Market Breakdown
    • 1.2.1.By Segments
    • 1.2.2.By Region

2.Market Overview and Insights

  • 2.1.Scope of the Report
  • 2.2.Analyst Insight & Current Market Trends
    • 2.2.1.Key Findings
    • 2.2.2.Recommendations
    • 2.2.3.Conclusion

3.Competitive Landscape

  • 3.1.Key Company Analysis
  • 3.2.Dun & Bradstreet Corp.
  • 3.3.Google LLC
    • 3.3.1.Overview
    • 3.3.2.Financial Analysis
    • 3.3.3.SWOT Analysis
    • 3.3.4.Recent Developments
  • 3.4.IBM Corp.
    • 3.4.1.Overview
    • 3.4.2.Financial Analysis
    • 3.4.3.SWOT Analysis
    • 3.4.4.Recent Developments
  • 3.5.Microsoft Corp.
    • 3.5.1.Overview
    • 3.5.2.Financial Analysis
    • 3.5.3.SWOT Analysis
    • 3.5.4.Recent Developments
  • 3.6.Key Strategy Analysis

4.Market Segmentation

  • 4.1.Global Adaptive AI Market by Component
    • 4.1.1.Platform
    • 4.1.2.Services
  • 4.2.Global Adaptive AI Market by Technology
    • 4.2.1.Machine Learning
    • 4.2.2.Deep Learning
    • 4.2.3.Reinforcement Learning
    • 4.2.4.Natural Language Processing (NLP)
    • 4.2.5.Computer Vision
  • 4.3.Global Adaptive AI Market by Application
    • 4.3.1.Real-time Adaptive AI
    • 4.3.2.Offline Learning and Adaptation
    • 4.3.3.Context-aware Adaptation
    • 4.3.4.Autonomous Decision-Making
  • 4.4.Global Adaptive AI Market by End-Users
    • 4.4.1.BFSI
    • 4.4.2.Healthcare & Life Sciences
    • 4.4.3.IT & Telecommunications
    • 4.4.4.Aerospace & Defense
    • 4.4.5.Manufacturing
    • 4.4.6.Retail & E-commerce
    • 4.4.7.Others (Media & Entertainment)

5.Regional Analysis

  • 5.1.North America
    • 5.1.1.United States
    • 5.1.2.Canada
  • 5.2.Europe
    • 5.2.1.UK
    • 5.2.2.Germany
    • 5.2.3.Italy
    • 5.2.4.Spain
    • 5.2.5.France
    • 5.2.6.Rest of Europe
  • 5.3.Asia-Pacific
    • 5.3.1.China
    • 5.3.2.India
    • 5.3.3.Japan
    • 5.3.4.South Korea
    • 5.3.5.Rest of Asia-Pacific
  • 5.4.Rest of the World

6.Company Profiles

  • 6.1.Accenture plc
  • 6.2.Altair Engineering Inc.
  • 6.3.Amazon Web Services, Inc.
  • 6.4.Apple Inc.
  • 6.5.Baidu, Inc.
  • 6.6.Cloudester Software LLP
  • 6.7.Cognizant
  • 6.8.DuploCloud, Inc.
  • 6.9.Intel Corp.
  • 6.10.LeewayHertz
  • 6.11.Matellio Inc.
  • 6.12.NVIDIA Corp.
  • 6.13.OpenAI OpCo, LLC
  • 6.14.Oracle Corp.
  • 6.15.Parangat Technologies Pvt. Ltd.
  • 6.16.SAP SE
  • 6.17.Turing Enterprises, Inc.
  • 6.18.XenonStack Pvt. Ltd.