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市場調査レポート
商品コード
1486917
製造業におけるAIの市場規模、シェア、予測、動向分析:コンポーネント、技術、用途、最終用途産業、地域別-2031年までの世界予測AI in Manufacturing Market Size, Share, Forecast, & Trends Analysis by Component, Technology, Application, End-use Industry, and Geography - Global Forecast to 2031 |
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製造業におけるAIの市場規模、シェア、予測、動向分析:コンポーネント、技術、用途、最終用途産業、地域別-2031年までの世界予測 |
出版日: 2024年05月30日
発行: Meticulous Research
ページ情報: 英文 326 Pages
納期: 即日から翌営業日
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製造業におけるAIとは、製造工程の様々な側面を改善するためのAI技術や手法の応用を指します。これらの応用は、生産スケジュールの最適化から予知保全、品質管理まで多岐にわたります。インダストリー4.0の登場により、製造業は製造オペレーションとプロセスへの先進技術の導入に関して大きな進歩を遂げました。製造業は、AIを活用したインテリジェントソリューション&サービスを導入し、組織の自動化と業務効率を高めています。そのため、分散型の意思決定を提供し、ロジスティクス&サプライチェーンを最適化し、生産成果を向上させ、プロセスの有効性を進め、運用コストを最小限に抑え、インテリジェントな製造環境を実現するインテリジェントな製造プロセスのために、製造業におけるAIの採用に対する需要が大幅に伸びています。製造業におけるAI市場は、2024年から2031年までの年平均成長率32.6%で、2031年までに845億米ドルに達すると予測されています。
製造業におけるAI市場の成長は、インダストリー4.0とスマート・マニュファクチャリングの採用の高まり、予知保全と品質管理のニーズの高まり、自動化と業務効率化の需要の高まりによってもたらされます。しかし、熟練労働者の不足がこの市場の成長を抑制しています。さらに、新興国における製造業の増加や、サプライチェーン管理・物流におけるAIの採用拡大が、この市場の利害関係者に成長機会をもたらすと期待されています。しかし、データセキュリティとプライバシーに関する懸念は、製造業におけるAI市場の成長に影響を与える主要な課題です。さらに、この市場の顕著な動向は、製造業におけるコンピュータビジョン&ロボティクスの採用が増加していることです。
製造業におけるAI市場は、コンポーネント(ハードウェア[プロセッサ、ネットワーキング、メモリ]、ソフトウェア[AIプラットフォーム、AIソリューション]、サービス[展開とインテグレーション、サポートとメンテナンス])、技術(機械学習(ML)、自然言語処理(NLP)、コンテキスト認識コンピューティング、コンピュータビジョン、音声認識)、用途(フィールドサービス、品質管理、サイバーセキュリティ、ロボティクス&ファクトリーオートメーション、予知保全&機械試験、マテリアルハンドリング、生産計画、安全計画、エネルギー管理、サプライチェーン最適化)、最終用途産業(半導体&エレクトロニクス、エネルギー&電力、医薬品、医療機器、自動車、重金属&機械製造、ファストムービング消費財、航空宇宙&防衛、その他産業)。また、競合他社の評価や地域・国別市場の分析も行っています。
The research report titled, 'AI in Manufacturing Market by Component, Technology (ML, NLP, Computer Vision), Application (Predictive Maintenance & Machinery Inspection, Cybersecurity, Supply Chain Optimization), End-use Industry, and Geography -Global Forecast to 2031.' provides an in-depth analysis of the AI in manufacturing market in five major geographies and emphasizes on the current market trends, size, and share, recent developments, and forecasts till 2031. The AI in manufacturing market is projected to reach $84.5 billion by 2031, at a CAGR of 32.6% from 2024 to 2031.
Artificial Intelligence (AI) in manufacturing refers to the application of AI technologies and techniques to improve various aspects of manufacturing processes. These applications can range from optimizing production schedules to predictive maintenance and quality control. With the advent of Industry 4.0, the manufacturing industry has made significant progress in regard to the adoption of advanced technologies for manufacturing operations and processes. Manufacturing industries are implementing AI-powered intelligent solutions & services to enhance the automation and operational efficiency of organizations. Thus, there is considerable growth in the demand for the adoption of AI in the manufacturing industry for intelligent manufacturing processes that offer decentralized decision-making, optimize logistics & supply chains, enhance production outcomes, advance process effectiveness, and minimize operational costs, enabling an intelligent manufacturing environment.
The growth of the AI in manufacturing market is driven by the rising adoption of Industry 4.0 and smart manufacturing, the growing need for predictive maintenance and quality control, and the increasing demand for automation and operational efficiency. However, a shortage of skilled workforce restrains the growth of this market. Furthermore, the rising number of manufacturing operations in emerging economies and the increasing adoption of AI in supply chain management and logistics are expected to generate growth opportunities for the stakeholders in this market. However, data security and privacy concerns are a major challenge impacting the growth of the AI in manufacturing market. Additionally, the prominent trend in this market is the rising adoption of computer vision & robotics in manufacturing.
The AI in manufacturing market is segmented based on component (hardware [processors, networking, memory], software [AI platforms, AI solutions], and services [deployment & integration, support & maintenance), technology (machine learning (ML), natural language processing (NLP), context-aware computing, computer vision, speech and voice recognition), application (field services, quality management, cybersecurity, robotics & factory automation, predictive maintenance & machinery inspection, material handling, production planning, safety planning, energy management, supply chain optimization), end-use industry (semiconductor & electronics, energy & power, pharmaceuticals, medical devices, automotive, heavy metals & machine manufacturing, fast-moving consumer goods, aerospace and defense, other industries). The study also evaluates industry competitors and analyses the regional and country-level markets.
Based on component, the AI in manufacturing market is segmented into hardware, software, and services segment. The services segment is projected to record the highest CAGR during the forecast period. The growing adoption of smart manufacturing services, growing AI expertise, and growing skilled labor shortage are the major factors promoting the growth of this segment.
Based on technology, the AI in manufacturing market is segmented into machine learning (ML), natural language processing (NLP), context-aware computing, computer vision, speech and voice recognition, and machine reasoning. The natural language processing segment is projected to register the highest CAGR during the forecast period. The growth of this segment is attributed to the increasing demand for NLP technology for analyzing machinery data to predict and prevent failures, automate inspection report analysis, ensure adherence to safety protocols through real-time analysis, enable personalization based on customer feedback analysis, and optimize manufacturing processes by evaluating production data.
Based on application, the AI in manufacturing market is segmented into field services, quality management, cybersecurity, robotics & factory automation, predictive maintenance & machinery inspection, material handling, production planning, safety planning, energy management, and supply chain optimization. The predictive maintenance & machinery inspection segment is projected to register the highest CAGR during the forecast period. The growth of this segment is attributed to the increasing demand for self-monitoring, the increasing need to reduce costs related to operating heavy equipment and maintenance costs and downtime, and the increasing demand for real-time plant monitoring in manufacturing industries.
Based on end-use industry, the AI in manufacturing market is segmented into semiconductor & electronics, energy & power, pharmaceuticals, medical devices, automotive, heavy metals & machine manufacturing, fast-moving consumer goods, aerospace and defense, and other end-use industries. The medical devices segment is expected to register the highest CAGR during the forecast period. The growth of this segment is attributed to the increasing demand for advanced healthcare technologies, regulatory compliance requirements, and the need for improved efficiency and quality in medical device manufacturing processes.
Based on geography, the AI in manufacturing market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. The Asia Pacific is expected to register the highest CAGR during the forecast period. The growth of this segment is attributed to the rising demand for automation, the increasing adoption of industrial robots, the advent of Industry 4.0, increasing investments by technology leaders, the growing adoption of cloud-based manufacturing solutions, and the presence of prominent market players in the region.
The key players profiled in the AI in manufacturing market study include Google LLC (A Subsidiary of Alphabet Inc.) (U.S.), International Business Machines Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), NVIDIA Corporation (U.S.), Oracle Corporation (U.S.), Cisco Systems, Inc. (U.S.), Rockwell Automation, Inc. (U.S.), Amazon Web Services, Inc. (A Subsidiary of Amazon.com, Inc.) (U.S.), Siemens AG (Germany), General Electric Company (U.S.), SAP SE (Germany), Advanced Micro Devices, Inc. (U.S.), Robert Bosch GmbH (Germany), and Sight Machine Inc. (U.S.).
AI in Manufacturing Market Assessment -by Component
AI in Manufacturing Market-by Technology
AI in Manufacturing Market-by Application
AI in Manufacturing Market-by End-use Industry
AI in Manufacturing Market-by Geography