製造業における人工知能市場：タイプ、提供、技術、用途、産業別-2025-2030年の世界予測

製造業における人工知能市場の2024年の市場規模は59億1,000万米ドルで、2025年には79億8,000万米ドル、CAGR36.28%で成長し、2030年には379億2,000万米ドルに達すると予測されています。

人工知能は、生産性、精度、適応性の新たなレベルを解き放ち、製造業の状況を大きく変えています。近年、AI主導のソリューションは、実験的な実装から世界中の生産ラインに不可欠なコンポーネントへと移行しています。製造業者は、洗練されたアルゴリズムとデータ分析を活用して、パフォーマンスを最適化し、ダウンタイムを削減し、さらには将来の運用上の課題を予測しています。この革命は、組立ラインで複雑なタスクを実行するスマート・ロボットから、機器の故障を予見して未然に防ぐ予知保全システムまで広がっています。製造業は生産効率を高めるだけでなく、品質管理を確保し、オペレーション・コストを削減しながら世界に事業を拡大しています。

製造業におけるAIの統合は、テクノロジーとプロセスが調和する戦略的進化を意味します。意思決定者は自動化と人間の監視の融合を受け入れ、それによって革新的で弾力性のある環境を構築しています。工場がよりスマートになるにつれ、リアルタイムの分析とプロセス・インテリジェンスが機敏なビジネス戦略と市場への対応への道を開きます。このイントロダクションは、変革的なシフト、詳細なセグメンテーションの洞察、地域のダイナミクス、主要企業、そして業界リーダーのための実用的な提言の広範な検討のための土台を築くものです。本書は、製造業の近代化だけでなく、将来のイノベーションに向けた基盤整備においてもAIが果たす重要な役割を明らかにしています。

製造業の情勢を再定義する変革的シフト

製造業は、人工知能の急速な進歩に後押しされた変革的なシフトを目の当たりにしています。従来の生産モデルは、製造エコシステムのあらゆる側面へのAI技術の注入によって大きく変化しています。こうしたシフトは、従来のテクノロジーの限界を超えた、よりスマートで、より接続されたシステムへの動きとして現れています。製造現場へのAIの導入は、予測分析、自律システム、リアルタイムの意思決定機能の導入につながっています。このシフトにより、工場は無駄を大幅に削減し、資源配分を最適化し、より効果的に操業の継続性を維持できるようになっています。

さらに、AIイノベーションは、データ収集、分析、アクションのシームレスな統合を可能にすることで、デジタルと物理的な領域のギャップを埋めつつあります。この変革は単に技術的なものだけでなく文化的なものでもあり、継続的な改善と機敏な適応が規範となる環境を育んでいます。自動化の進展と高度な機械学習モデルは、生産異常の発生時にそれを発見するのに役立ち、その結果、長時間のダウンタイムをなくし、全体的なスループットを向上させる。このようなシフトはまた、生産計画、品質管理、プロセス最適化のための改善方法を業界が継続的に模索する、イノベーションの文化を育んでいます。このような変化は、競争の激しい世界市場において、信頼性が高く、コスト効率の高い製造方法に対するニーズがますます高まっていることに後押しされています。

市場力学を明らかにする広範なセグメンテーションの洞察

市場セグメンテーションを深く掘り下げると、製造業における人工知能を理解し、戦略的にアプローチするための複数の側面が見えてくる。タイプ別では、アシスト知能、拡張知能、自動化、自律知能の各分野で市場を分析し、それぞれ異なるレベルの人間と機械の相互作用とプロセス制御を提供します。並行して、ハードウェア、サービス、ソフトウェアの各分野におけるイノベーションも調査します。ハードウェア・セグメントでは、AI実装のバックボーンとして機能するフィールド・プログラマブル・ゲート・アレイ、グラフィックス・プロセッシング・ユニット、マイクロプロセッサー・ユニットなどの主要コンポーネントに特別な注意が払われています。サービス部門はさらに、展開と統合、サポートとメンテナンスに分かれ、技術導入が円滑かつ着実に維持されるようにしています。アナリティクス・ソフトウェアとプロセス・モニタリング・インターフェースを特徴とするソフトウェア・セグメントは、生産データのきめ細かな監視とインテリジェントな分析を容易にします。

さらに、技術に基づく区分では、認識コンピューティング、コンピューター・ビジョン、機械学習、自然言語処理における進歩の概要を示します。これらの技術は、膨大な量のデータを解釈するために必要なツールを提供し、より良い意思決定と生産に関する洞察の進化を可能にします。アプリケーションに基づくセグメンテーションは、在庫管理、予知保全、生産計画とスケジューリング、品質管理といった重要な分野をカバーしています。例えば、在庫管理には需要予測や倉庫の自動化などの技術が組み込まれ、予知保全では設備の故障予測や機械のリアルタイム監視に重点が置かれます。生産計画とスケジューリングは、リソース配分とワークフローの最適化によって強化され、品質管理は、欠陥検出と組み合わせた自動ビジョンシステムへの依存度が高まっています。最後に、産業別のセグメンテーションでは、自動車、エネルギー・電力、飲食品、金属・重機械、医薬品、半導体・エレクトロニクスなどのセクターにおける明確なアプローチが示されています。各セクターは、自動車の組立ライン自動化や医薬品の品質保証など、その戦略をさらに細分化し、さまざまな製造環境におけるAIの多面的な影響を示しています。

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • デジタル化と接続性の向上により生産プロセスの透明性が向上
    • AI機能と製造システムを統合するインダストリー4.0イニシアチブの急増
    • 政府のインセンティブと規制支援が製造業におけるイノベーションとAI導入を促進
  • 抑制要因
    • AIソリューションをレガシーシステムや時代遅れの製造インフラと統合する際の難しさ
  • 機会
    • リアルタイム画像処理とセンサーデータを活用し、製造ラインでの製品欠陥を最小限に抑えるAI対応品質管理システムを導入
    • 最適な在庫レベルとタイムリーな配送を確保するために人工知能予測モデルを統合したスマートサプライチェーン管理システムの開発
  • 課題
    • 相互接続された製造システムに関連するサイバーセキュリティとデータプライバシーのリスク
• 市場セグメンテーション分析
  • タイプ：リアルタイムのデータ分析と意思決定支援を提供するための支援型インテリジェンスの採用が増加
  • 業界：食品・飲料業界における食品安全監視や包装自動化のための人工知能の利用増加
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社会
  • 技術的
  • 法律上
  • 環境

第6章 製造業における人工知能市場：タイプ別

• 支援型知能
• 拡張知能
• オートメーション
• 自律型知能

第7章 製造業における人工知能市場：提供別

• ハードウェア
  • フィールドプログラマブルゲートアレイ（FPGA）
  • グラフィックスプロセッシングユニット（GPU）
  • マイクロプロセッサユニット（MPUS）
• サービス
  • 展開と統合
  • サポートとメンテナンス
• ソフトウェア
  • 分析ソフトウェア
  • プロセス監視インターフェース

第8章 製造業における人工知能市場：技術別

• アウェアコンピューティング
• コンピュータービジョン
• 機械学習
• 自然言語処理

第9章 製造業における人工知能市場：用途別

• 在庫管理
  • 需要予測
  • 倉庫自動化
• 予知保全
  • 機器故障予測
  • リアルタイム監視
• 生産計画とスケジューリング
  • リソースの割り当て
  • ワークフローの最適化
• 品質管理
  • 自動ビジョンシステム
  • 欠陥検出

第10章 製造業における人工知能市場：業界別

• 自動車
  • 組立ラインの自動化
  • パフォーマンステスト
• エネルギーと電力
• 食品・飲料
  • 食品安全監視
  • 包装自動化
• 金属および重機
• 医薬品
  • 医薬品製造プロセス
  • 品質保証
• 半導体およびエレクトロニクス
  • コンポーネントアセンブリ
  • テストと検証

第11章 南北アメリカの製造業における人工知能市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第12章 アジア太平洋地域の製造業における人工知能市場

• オーストラリア
• 中国
• インド
• インドネシア
• 日本
• マレーシア
• フィリピン
• シンガポール
• 韓国
• 台湾
• タイ
• ベトナム

第13章 欧州・中東・アフリカの製造業における人工知能市場

• デンマーク
• エジプト
• フィンランド
• フランス
• ドイツ
• イスラエル
• イタリア
• オランダ
• ナイジェリア
• ノルウェー
• ポーランド
• カタール
• ロシア
• サウジアラビア
• 南アフリカ
• スペイン
• スウェーデン
• スイス
• トルコ
• アラブ首長国連邦
• 英国

第14章 競合情勢

• 市場シェア分析, 2024
• FPNVポジショニングマトリックス, 2024
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• ABB Ltd.
• Advanced Micro Devices, Inc.
• AIBrain Inc.
• Bright Machines, Inc.
• Cisco Systems, Inc.
• Cognex Corporation
• Dassault Systemes SE
• Emerson Electric Co.
• Fanuc Corporation
• ForwardX Technology Co., Ltd.
• General Electric Company
• General Vision Inc.
• Google, LLC by Alphabet Inc.
• Graphcore Limited
• Hewlett Packard Enterprise Company
• Hitachi, Ltd.
• Honeywell International Inc.
• Intel Corporation
• International Business Machines Corporation
• Keyence Corporation
• Landing AI
• Medtronic PLC
• Micron Technology Inc.
• Microsoft Corporation
• Mitsubishi Electric Corporation
• Novartis International AG
• Nvidia Corporation
• Oracle Corporation
• Path Robotics
• Progress Software Corporation
• Rockwell Automation Inc.
• SAP SE
• Siemens AG
• SparkCognition, Inc.
• UBTECH Robotics, Inc.
• Uptake Technologies Inc.
• Yaskawa Electric Corporation

LIST OF FIGURES

• FIGURE 1. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET MULTI-CURRENCY
• FIGURE 2. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET MULTI-LANGUAGE
• FIGURE 3. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET RESEARCH PROCESS
• FIGURE 4. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, 2024 VS 2030
• FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2024 VS 2030 (%)
• FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2024 VS 2030 (%)
• FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2024 VS 2030 (%)
• FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
• FIGURE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2024 VS 2030 (%)
• FIGURE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 18. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 19. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 20. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY STATE, 2024 VS 2030 (%)
• FIGURE 21. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 22. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 23. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 24. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
• FIGURE 25. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
• FIGURE 26. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE, BY KEY PLAYER, 2024
• FIGURE 27. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET DYNAMICS
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY ASSISTED INTELLIGENCE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUGMENTED INTELLIGENCE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTONOMOUS INTELLIGENCE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FIELD PROGRAMMABLE GATE ARRAY (FPGA), BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY GRAPHICS PROCESSING UNITS (GPUS), BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY MICROPROCESSOR UNITS (MPUS), BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY DEPLOYMENT & INTEGRATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SUPPORT & MAINTENANCE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 22. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 23. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY ANALYTICS SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 24. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PROCESS MONITORING INTERFACES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 25. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 26. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 27. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AWARE COMPUTING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 28. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 29. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 30. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 31. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 32. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 33. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY DEMAND FORECASTING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 34. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY WAREHOUSE AUTOMATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 35. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
• TABLE 36. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 37. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY EQUIPMENT FAILURE PREDICTION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 38. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY REAL-TIME MONITORING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 39. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
• TABLE 40. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 41. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY RESOURCE ALLOCATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 42. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY WORKFLOW OPTIMIZATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 43. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, 2018-2030 (USD MILLION)
• TABLE 44. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, BY REGION, 2018-2030 (USD MILLION)
• TABLE 45. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMATED VISION SYSTEMS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 46. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY DEFECT DETECTION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 47. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, 2018-2030 (USD MILLION)
• TABLE 48. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 49. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 50. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY ASSEMBLY LINE AUTOMATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 51. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PERFORMANCE TESTING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 52. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, 2018-2030 (USD MILLION)
• TABLE 53. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY ENERGY & POWER, BY REGION, 2018-2030 (USD MILLION)
• TABLE 54. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 55. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD SAFETY MONITORING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 56. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PACKAGING AUTOMATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 57. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, 2018-2030 (USD MILLION)
• TABLE 58. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY METALS & HEAVY MACHINERY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 59. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 60. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY DRUG PRODUCTION PROCESSES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 61. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY ASSURANCE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 62. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, 2018-2030 (USD MILLION)
• TABLE 63. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, BY REGION, 2018-2030 (USD MILLION)
• TABLE 64. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COMPONENT ASSEMBLY, BY REGION, 2018-2030 (USD MILLION)
• TABLE 65. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TESTING & VALIDATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 66. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, 2018-2030 (USD MILLION)
• TABLE 67. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2018-2030 (USD MILLION)
• TABLE 68. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 69. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 70. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 71. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 72. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 73. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 74. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
• TABLE 75. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
• TABLE 76. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, 2018-2030 (USD MILLION)
• TABLE 77. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, 2018-2030 (USD MILLION)
• TABLE 78. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 79. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, 2018-2030 (USD MILLION)
• TABLE 80. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, 2018-2030 (USD MILLION)
• TABLE 81. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, 2018-2030 (USD MILLION)
• TABLE 82. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, 2018-2030 (USD MILLION)
• TABLE 83. AMERICAS ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 84. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2018-2030 (USD MILLION)
• TABLE 85. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 86. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 87. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 88. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 89. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 90. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 91. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
• TABLE 92. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
• TABLE 93. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, 2018-2030 (USD MILLION)
• TABLE 94. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, 2018-2030 (USD MILLION)
• TABLE 95. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 96. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, 2018-2030 (USD MILLION)
• TABLE 97. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, 2018-2030 (USD MILLION)
• TABLE 98. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, 2018-2030 (USD MILLION)
• TABLE 99. ARGENTINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, 2018-2030 (USD MILLION)
• TABLE 100. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2018-2030 (USD MILLION)
• TABLE 101. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 102. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 103. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 104. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 105. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 106. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 107. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
• TABLE 108. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
• TABLE 109. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, 2018-2030 (USD MILLION)
• TABLE 110. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, 2018-2030 (USD MILLION)
• TABLE 111. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 112. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, 2018-2030 (USD MILLION)
• TABLE 113. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, 2018-2030 (USD MILLION)
• TABLE 114. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, 2018-2030 (USD MILLION)
• TABLE 115. BRAZIL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, 2018-2030 (USD MILLION)
• TABLE 116. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2018-2030 (USD MILLION)
• TABLE 117. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 118. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 119. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 120. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 121. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 122. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 123. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
• TABLE 124. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
• TABLE 125. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, 2018-2030 (USD MILLION)
• TABLE 126. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, 2018-2030 (USD MILLION)
• TABLE 127. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 128. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, 2018-2030 (USD MILLION)
• TABLE 129. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, 2018-2030 (USD MILLION)
• TABLE 130. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, 2018-2030 (USD MILLION)
• TABLE 131. CANADA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, 2018-2030 (USD MILLION)
• TABLE 132. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2018-2030 (USD MILLION)
• TABLE 133. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 134. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 135. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 136. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 137. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 138. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 139. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
• TABLE 140. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
• TABLE 141. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, 2018-2030 (USD MILLION)
• TABLE 142. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, 2018-2030 (USD MILLION)
• TABLE 143. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 144. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, 2018-2030 (USD MILLION)
• TABLE 145. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, 2018-2030 (USD MILLION)
• TABLE 146. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, 2018-2030 (USD MILLION)
• TABLE 147. MEXICO ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, 2018-2030 (USD MILLION)
• TABLE 148. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2018-2030 (USD MILLION)
• TABLE 149. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 150. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 151. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 152. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 153. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 154. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 155. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
• TABLE 156. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
• TABLE 157. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, 2018-2030 (USD MILLION)
• TABLE 158. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, 2018-2030 (USD MILLION)
• TABLE 159. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 160. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, 2018-2030 (USD MILLION)
• TABLE 161. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, 2018-2030 (USD MILLION)
• TABLE 162. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, 2018-2030 (USD MILLION)
• TABLE 163. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, 2018-2030 (USD MILLION)
• TABLE 164. UNITED STATES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 165. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2018-2030 (USD MILLION)
• TABLE 166. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 167. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 168. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 169. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 170. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 171. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 172. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
• TABLE 173. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
• TABLE 174. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, 2018-2030 (USD MILLION)
• TABLE 175. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, 2018-2030 (USD MILLION)
• TABLE 176. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 177. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, 2018-2030 (USD MILLION)
• TABLE 178. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, 2018-2030 (USD MILLION)
• TABLE 179. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, 2018-2030 (USD MILLION)
• TABLE 180. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, 2018-2030 (USD MILLION)
• TABLE 181. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 182. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2018-2030 (USD MILLION)
• TABLE 183. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 184. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 185. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 186. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 187. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 188. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 189. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
• TABLE 190. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
• TABLE 191. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, 2018-2030 (USD MILLION)
• TABLE 192. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, 2018-2030 (USD MILLION)
• TABLE 193. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 194. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, 2018-2030 (USD MILLION)
• TABLE 195. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, 2018-2030 (USD MILLION)
• TABLE 196. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, 2018-2030 (USD MILLION)
• TABLE 197. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, 2018-2030 (USD MILLION)
• TABLE 198. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2018-2030 (USD MILLION)
• TABLE 199. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 200. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 201. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 202. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 203. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 204. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 205. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
• TABLE 206. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
• TABLE 207. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, 2018-2030 (USD MILLION)
• TABLE 208. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, 2018-2030 (USD MILLION)
• TABLE 209. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 210. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, 2018-2030 (USD MILLION)
• TABLE 211. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, 2018-2030 (USD MILLION)
• TABLE 212. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, 2018-2030 (USD MILLION)
• TABLE 213. CHINA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, 2018-2030 (USD MILLION)
• TABLE 214. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2018-2030 (USD MILLION)
• TABLE 215. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 216. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 217. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 218. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 219. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 220. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 221. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
• TABLE 222. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
• TABLE 223. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, 2018-2030 (USD MILLION)
• TABLE 224. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, 2018-2030 (USD MILLION)
• TABLE 225. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 226. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, 2018-2030 (USD MILLION)
• TABLE 227. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, 2018-2030 (USD MILLION)
• TABLE 228. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, 2018-2030 (USD MILLION)
• TABLE 229. INDIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, 2018-2030 (USD MILLION)
• TABLE 230. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2018-2030 (USD MILLION)
• TABLE 231. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 232. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 233. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 234. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 235. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 236. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 237. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
• TABLE 238. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
• TABLE 239. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, 2018-2030 (USD MILLION)
• TABLE 240. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, 2018-2030 (USD MILLION)
• TABLE 241. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 242. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, 2018-2030 (USD MILLION)
• TABLE 243. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, 2018-2030 (USD MILLION)
• TABLE 244. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, 2018-2030 (USD MILLION)
• TABLE 245. INDONESIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, 2018-2030 (USD MILLION)
• TABLE 246. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2018-2030 (USD MILLION)
• TABLE 247. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 248. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 249. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 250. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 251. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 252. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 253. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
• TABLE 254. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
• TABLE 255. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, 2018-2030 (USD MILLION)
• TABLE 256. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, 2018-2030 (USD MILLION)
• TABLE 257. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 258. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, 2018-2030 (USD MILLION)
• TABLE 259. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, 2018-2030 (USD MILLION)
• TABLE 260. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, 2018-2030 (USD MILLION)
• TABLE 261. JAPAN ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, 2018-2030 (USD MILLION)
• TABLE 262. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 2018-2030 (USD MILLION)
• TABLE 263. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
• TABLE 264. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
• TABLE 265. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
• TABLE 266. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
• TABLE 267. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
• TABLE 268. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 269. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INVENTORY MANAGEMENT, 2018-2030 (USD MILLION)
• TABLE 270. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PREDICTIVE MAINTENANCE, 2018-2030 (USD MILLION)
• TABLE 271. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PRODUCTION PLANNING & SCHEDULING, 2018-2030 (USD MILLION)
• TABLE 272. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY QUALITY CONTROL, 2018-2030 (USD MILLION)
• TABLE 273. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY INDUSTRY, 2018-2030 (USD MILLION)
• TABLE 274. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY AUTOMOTIVE, 2018-2030 (USD MILLION)
• TABLE 275. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY FOOD & BEVERAGES, 2018-2030 (USD MILLION)
• TABLE 276. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY PHARMACEUTICALS, 2018-2030 (USD MILLION)
• TABLE 277. MALAYSIA ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY SEMICONDUCTOR & ELECTRONICS, 2018-2030 (USD MILLION)
• TABLE 278. PHILIPPINES ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE, BY TYPES, 20

The Artificial Intelligence in Manufacturing Market was valued at USD 5.91 billion in 2024 and is projected to grow to USD 7.98 billion in 2025, with a CAGR of 36.28%, reaching USD 37.92 billion by 2030.

Artificial Intelligence is profoundly reshaping the manufacturing landscape, unlocking new levels of productivity, precision, and adaptability. Over recent years, AI-driven solutions have moved from experimental implementations to integral components of production lines across the globe. Manufacturers are leveraging sophisticated algorithms and data analytics to optimize performance, reduce downtime, and even predict future operational challenges. This revolution extends from smart robotics that execute intricate tasks on assembly lines to predictive maintenance systems that foresee and forestall equipment failures. Manufacturers are not only increasing production efficiency but also ensuring quality control and scaling operations globally while reducing operational costs.

At its core, the integration of AI in manufacturing signifies a strategic evolution where technology and process come together in harmony. Decision makers are embracing the fusion of automation and human oversight, thereby crafting an environment that is both innovative and resilient. As factories become smarter, real-time analytics and process intelligence pave the way for agile business strategies and market responsiveness. This introduction lays the groundwork for an extensive examination of transformative shifts, detailed segmentation insights, regional dynamics, leading companies, and actionable recommendations designed for industry leaders. The narrative that unfolds illustrates the essential role of AI in not only modernizing manufacturing but also in setting foundations for future innovations.

Transformative Shifts Redefining Manufacturing Landscapes

The manufacturing industry is witnessing transformative shifts driven by rapid advances in artificial intelligence. Traditional production models are being overhauled by the infusion of AI technologies into every facet of the manufacturing ecosystem. These shifts manifest as a move towards smarter, more connected systems that transcend the limitations of previous technologies. The implementation of AI on the shop floor has led to the adoption of predictive analytics, autonomous systems, and real-time decision-making capabilities. This shift is enabling factories to substantially reduce waste, optimize resource allocation, and maintain operational continuity more effectively.

Moreover, AI innovations are bridging the gap between digital and physical realms by enabling a seamless integration of data collection, analysis, and action. The transformation is not merely technological but also cultural, fostering an environment where continuous improvement and agile adaptation are the norms. Increased automation and advanced machine learning models help in spotting production anomalies as they occur, which in turn eliminates lengthy downtimes and improves overall throughput. These shifts are also cultivating a culture of innovation, where industries continuously seek improved methods for production planning, quality control, and process optimization. Such changes are being propelled by the ever-growing need for reliable, cost-effective manufacturing methods in a competitive global market.

Extensive Segmentation Insights Revealing Market Dynamics

A deep dive into market segmentation reveals multiple dimensions through which artificial intelligence in manufacturing can be understood and strategically approached. In the realm of types, the market is analyzed across assisted intelligence, augmented intelligence, automation, and autonomous intelligence, each offering a different level of human-machine interaction and process control. A parallel segmentation based on offering examines innovations across hardware, services, and software. In the hardware segment, special attention is given to key components such as Field Programmable Gate Arrays, Graphics Processing Units, and Microprocessor Units, which act as the backbone of AI implementations. The services component further bifurcates into deployment and integration as well as support and maintenance, ensuring that technological adoptions are smooth and steadily maintained. The software segment, characterized by analytics software and process monitoring interfaces, facilitates granular oversight and intelligent analysis of production data.

In addition, the segmentation based on technology outlines advances in aware computing, computer vision, machine learning, and natural language processing. These technologies provide the necessary tools to interpret vast amounts of data, allowing for better decision-making and evolving production insights. Segmentation based on application covers crucial areas such as inventory management, predictive maintenance, production planning and scheduling, and quality control. For instance, inventory management incorporates techniques like demand forecasting and warehouse automation, while predictive maintenance focuses on equipment failure prediction and real-time monitoring of machinery. Production planning and scheduling are enhanced through resource allocation and workflow optimization, and quality control is increasingly relying on automated vision systems coupled with defect detection. Finally, segmentation by industry charts out distinct approaches in sectors such as automotive, energy and power, food and beverages, metals and heavy machinery, pharmaceuticals, and semiconductor and electronics. Each sector further subdivides its strategies, be it assembly line automation in automotive or quality assurance in pharmaceuticals, illustrating the multifaceted impact of AI across varied manufacturing environments.

Based on Types, market is studied across Assisted intelligence, Augmented intelligence, Automation, and Autonomous intelligence.

Based on Offering, market is studied across Hardware, Services, and Software. The Hardware is further studied across Field Programmable Gate Array (FPGA), Graphics Processing Units (GPUS), and Microprocessor Units (MPUS). The Services is further studied across Deployment & Integration and Support & Maintenance. The Software is further studied across Analytics Software and Process Monitoring Interfaces.

Based on Technology, market is studied across Aware Computing, Computer Vision, Machine Learning, and Natural Language Processing.

Based on Application, market is studied across Inventory Management, Predictive Maintenance, Production Planning & Scheduling, and Quality Control. The Inventory Management is further studied across Demand Forecasting and Warehouse Automation. The Predictive Maintenance is further studied across Equipment Failure Prediction and Real-Time Monitoring. The Production Planning & Scheduling is further studied across Resource Allocation and Workflow Optimization. The Quality Control is further studied across Automated Vision Systems and Defect Detection.

Based on Industry, market is studied across Automotive, Energy & Power, Food & Beverages, Metals & Heavy Machinery, Pharmaceuticals, and Semiconductor & Electronics. The Automotive is further studied across Assembly Line Automation and Performance Testing. The Food & Beverages is further studied across Food Safety Monitoring and Packaging Automation. The Pharmaceuticals is further studied across Drug Production Processes and Quality Assurance. The Semiconductor & Electronics is further studied across Component Assembly and Testing & Validation.

Key Regional Insights Shaping Global Markets

A closer look at regional dynamics underscores how various parts of the world are adapting to the AI evolution in manufacturing. In the Americas, robust industrial infrastructures and a strong focus on innovation have fostered an environment where AI is rapidly integrated into manufacturing processes. Businesses in this region are experiencing a shift toward smarter production lines supported by technological investments that emphasize both digital transformation and operational excellence.

Across Europe, the Middle East, and Africa, disruptive technologies are revolutionizing traditional manufacturing systems. Companies in these regions are increasingly adopting AI to streamline supply chain management, enhance predictive maintenance, and improve overall process efficiencies. Strategic collaborations and governmental initiatives are fueling the growth and trust in innovative technologies, making this bloc a key hub for transformation. Similarly, the Asia-Pacific region is not far behind. Rapid industrialization paired with significant investments in technology and infrastructure development makes it a fertile ground for AI-driven innovations. Here, manufacturers are not only focusing on enhancing operational efficiency but also positioning themselves as leaders in advancing manufacturing techniques that cater to both local and global demands.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Insights on Leading Companies Driving the AI Revolution

The competitive landscape of the AI-driven manufacturing market is characterized by a diverse array of influential companies that are setting benchmarks across various segments. Industry leaders such as ABB Ltd. and Advanced Micro Devices, Inc. have been at the forefront, integrating advanced AI capabilities into manufacturing solutions. Their efforts are paralleled by the innovative pursuits of AIBrain Inc. and Bright Machines, Inc., who are continuously pushing the limits of automation and process intelligence.

Global giants like Cisco Systems, Inc. and Cognex Corporation offer robust networking and vision systems that power smart factories. The enterprise software innovations from Dassault Systemes SE, Emerson Electric Co., and Fanuc Corporation are paving the way for advanced digital twin technologies and real-time data monitoring. ForwardX Technology Co., Ltd. and General Electric Company further illustrate the industry's commitment to fostering a seamless relationship between human operators and machine intelligence.

Reinforcing these advancements, companies such as General Vision Inc. and Google, LLC by Alphabet Inc. contribute cutting-edge insights into data analytics and machine learning. Graphcore Limited along with Hewlett Packard Enterprise Company provide the necessary computational power that underpins many AI applications. In tandem, other prominent players such as Hitachi, Ltd., Honeywell International Inc., and Intel Corporation are accelerating the adoption of AI in heavy machinery and critical infrastructure. This collective drive is further bolstered by the strategic initiatives of International Business Machines Corporation, Keyence Corporation, and Landing AI, ensuring that AI continues to deliver impactful, scalable solutions in manufacturing. Additional major contributors include Medtronic PLC, Micron Technology Inc., Microsoft Corporation, Mitsubishi Electric Corporation, Novartis International AG, Nvidia Corporation, Oracle Corporation, and several more who have firmly established their reputations as trailblazers in this dynamic space. Their combined efforts are not only reshaping how manufacturing operates but also catalyzing a global trend where innovation meets industrial expertise in unprecedented ways.

The report delves into recent significant developments in the Artificial Intelligence in Manufacturing Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., Advanced Micro Devices, Inc., AIBrain Inc., Bright Machines, Inc., Cisco Systems, Inc., Cognex Corporation, Dassault Systemes SE, Emerson Electric Co., Fanuc Corporation, ForwardX Technology Co., Ltd., General Electric Company, General Vision Inc., Google, LLC by Alphabet Inc., Graphcore Limited, Hewlett Packard Enterprise Company, Hitachi, Ltd., Honeywell International Inc., Intel Corporation, International Business Machines Corporation, Keyence Corporation, Landing AI, Medtronic PLC, Micron Technology Inc., Microsoft Corporation, Mitsubishi Electric Corporation, Novartis International AG, Nvidia Corporation, Oracle Corporation, Path Robotics, Progress Software Corporation, Rockwell Automation Inc., SAP SE, Siemens AG, SparkCognition, Inc., UBTECH Robotics, Inc., Uptake Technologies Inc., and Yaskawa Electric Corporation. Actionable Recommendations for Enhancing AI Adoption in Manufacturing

Industry leaders need to adopt a forward-thinking approach to fully capitalize on the transformative potential of artificial intelligence. First, it is essential to invest in robust infrastructure that supports the integration of AI solutions in legacy systems. Leaders should consider incremental modernization while focusing on scalable and future-ready technology. Collaborating with technology experts and academic institutions can also bring about innovative research and development that is crucial to digesting the nuances of specific manufacturing challenges.

Strategic partnerships and joint ventures with established tech companies provide a pathway to leverage state-of-the-art hardware, services, and software solutions seamlessly. Decision makers must adopt comprehensive training programs that empower employees to utilize new tools effectively. This transition not only reduces operational risks but also fosters a culture of continuous improvement. Furthermore, prioritizing data security and compliance in digital transformations is imperative in mitigating risks associated with large-scale AI adoption. These strategic actions are pivotal in ensuring that companies remain competitive and agile amidst the ongoing evolution within the sector.

Conclusion: Embracing the Future of AI in Manufacturing

In conclusion, the advanced integration of artificial intelligence in manufacturing is no longer a futuristic concept-it is a present reality that continues to revolutionize production operations globally. The comprehensive segmentation analysis, transformative regional insights, and the leadership demonstrated by key companies underscore the multifaceted nature of this evolution. While the transformational shifts have facilitated more efficient and predictive operations, industry players must stay agile and invest thoughtfully in AI capabilities to maintain competitive positioning.

The story of AI in manufacturing is one of continuous innovation, collaboration, and resilience. As technologies evolve, the early adopters and strategic investors in AI will shape the future of industrial manufacturing and set new benchmarks for operational excellence.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Increasing digitalization and connectivity enhancing production process transparency
    • 5.1.1.2. Surge in industry 4.0 initiatives integrating AI capabilities with manufacturing systems
    • 5.1.1.3. Government incentives and regulatory support fueling innovation and increased AI adoption in manufacturing
  • 5.1.2. Restraints
    • 5.1.2.1. Difficulties integrating AI solutions with legacy systems and outdated manufacturing infrastructure
  • 5.1.3. Opportunities
    • 5.1.3.1. Implementing AI-enabled quality control systems that leverage real-time image processing and sensor data to minimize product defects on manufacturing lines
    • 5.1.3.2. Developing smart supply chain management systems that integrate artificial intelligence forecasting models to ensure optimal inventory levels and timely deliveries
  • 5.1.4. Challenges
    • 5.1.4.1. Cybersecurity and data privacy risks associated with interconnected manufacturing systems
• 5.2. Market Segmentation Analysis
  • 5.2.1. Types: Growing adoption of assisted intelligence to provide real-time data analytics and decision support
  • 5.2.2. Industry: Rising usage of artificial intelligence in the food & beverages industry for food safety monitoring and packaging automation
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Intelligence in Manufacturing Market, by Types

• 6.1. Introduction
• 6.2. Assisted intelligence
• 6.3. Augmented intelligence
• 6.4. Automation
• 6.5. Autonomous intelligence

7. Artificial Intelligence in Manufacturing Market, by Offering

• 7.1. Introduction
• 7.2. Hardware
  • 7.2.1. Field Programmable Gate Array (FPGA)
  • 7.2.2. Graphics Processing Units (GPUS)
  • 7.2.3. Microprocessor Units (MPUS)
• 7.3. Services
  • 7.3.1. Deployment & Integration
  • 7.3.2. Support & Maintenance
• 7.4. Software
  • 7.4.1. Analytics Software
  • 7.4.2. Process Monitoring Interfaces

8. Artificial Intelligence in Manufacturing Market, by Technology

• 8.1. Introduction
• 8.2. Aware Computing
• 8.3. Computer Vision
• 8.4. Machine Learning
• 8.5. Natural Language Processing

9. Artificial Intelligence in Manufacturing Market, by Application

• 9.1. Introduction
• 9.2. Inventory Management
  • 9.2.1. Demand Forecasting
  • 9.2.2. Warehouse Automation
• 9.3. Predictive Maintenance
  • 9.3.1. Equipment Failure Prediction
  • 9.3.2. Real-Time Monitoring
• 9.4. Production Planning & Scheduling
  • 9.4.1. Resource Allocation
  • 9.4.2. Workflow Optimization
• 9.5. Quality Control
  • 9.5.1. Automated Vision Systems
  • 9.5.2. Defect Detection

10. Artificial Intelligence in Manufacturing Market, by Industry

• 10.1. Introduction
• 10.2. Automotive
  • 10.2.1. Assembly Line Automation
  • 10.2.2. Performance Testing
• 10.3. Energy & Power
• 10.4. Food & Beverages
  • 10.4.1. Food Safety Monitoring
  • 10.4.2. Packaging Automation
• 10.5. Metals & Heavy Machinery
• 10.6. Pharmaceuticals
  • 10.6.1. Drug Production Processes
  • 10.6.2. Quality Assurance
• 10.7. Semiconductor & Electronics
  • 10.7.1. Component Assembly
  • 10.7.2. Testing & Validation

11. Americas Artificial Intelligence in Manufacturing Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific Artificial Intelligence in Manufacturing Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa Artificial Intelligence in Manufacturing Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2024
• 14.2. FPNV Positioning Matrix, 2024
• 14.3. Competitive Scenario Analysis
  • 14.3.1. Stellantis and Mistral AI deepen their strategic partnership to transform manufacturing processes and design with advanced AI
  • 14.3.2. Accenture and NVIDIA drive industrial transformation by deploying specialized AI agent networks that accelerate automation
  • 14.3.3. Microsoft drives transformative change in global manufacturing by integrating industrial AI solutions with cloud platforms
• 14.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. ABB Ltd.
• 2. Advanced Micro Devices, Inc.
• 3. AIBrain Inc.
• 4. Bright Machines, Inc.
• 5. Cisco Systems, Inc.
• 6. Cognex Corporation
• 7. Dassault Systemes SE
• 8. Emerson Electric Co.
• 9. Fanuc Corporation
• 10. ForwardX Technology Co., Ltd.
• 11. General Electric Company
• 12. General Vision Inc.
• 13. Google, LLC by Alphabet Inc.
• 14. Graphcore Limited
• 15. Hewlett Packard Enterprise Company
• 16. Hitachi, Ltd.
• 17. Honeywell International Inc.
• 18. Intel Corporation
• 19. International Business Machines Corporation
• 20. Keyence Corporation
• 21. Landing AI
• 22. Medtronic PLC
• 23. Micron Technology Inc.
• 24. Microsoft Corporation
• 25. Mitsubishi Electric Corporation
• 26. Novartis International AG
• 27. Nvidia Corporation
• 28. Oracle Corporation
• 29. Path Robotics
• 30. Progress Software Corporation
• 31. Rockwell Automation Inc.
• 32. SAP SE
• 33. Siemens AG
• 34. SparkCognition, Inc.
• 35. UBTECH Robotics, Inc.
• 36. Uptake Technologies Inc.
• 37. Yaskawa Electric Corporation