ハイパーオートメーションの世界市場：技術別、展開別、業界別、組織規模別、地域別、予測

ハイパーオートメーションの世界市場規模・予測

世界のハイパーオートメーション市場は、2024年に10億1,000万米ドルと評価され、2026年から2032年にかけて18.25%のCAGRで成長し、2032年には38億6,000万米ドルに達すると予測されています。

ハイパーオートメーションとは、AI、機械学習、RPAなどの先進技術を利用して複雑なビジネスプロセスを自動化し、効率を高めて人的介入の必要性を減らすことです。

その用途はヘルスケア、製造、金融などの業界に及び、自動化されたデータ分析、プロセス監視、予知保全を通じて、迅速な意思決定、ワークフローの合理化、精度の向上を可能にします。

ハイパーオートメーションの将来は、AIの統合を進め、自動化をより複雑なタスクにまで拡大し、自動運転システムを実現し、業界全体のイノベーションを促進し、コスト削減と生産性向上を推進することにあります。

世界のハイパーオートメーション市場力学

世界のハイパーオートメーション市場を形成している主な市場力学は以下の通り：

主な市場促進要因

効率化への需要の高まり：組織は、反復作業を自動化することで生産性を向上させ、人的ミスを減らし、運用コストを削減する方法を模索しています。ハイパーオートメーションは、シームレスなプロセス最適化のための先進技術を統合することで、このニーズに対応します。

AIと機械学習の進歩：AIと機械学習技術が成熟するにつれ、より複雑なタスクの自動化が可能になります。これにより、ハイパーオートメーションの導入が促進され、企業は大規模なデータを処理し、インテリジェントでリアルタイムの意思決定を行うことができます。

RPAの採用拡大：ロボティックプロセスオートメーション（RPA）はハイパーオートメーションの主要な実現手段であり、定型的なビジネス業務を自動化します。RPAの導入が進むことで、手作業が削減され、従業員はより価値の高い業務に集中できるようになり、全体的な効率が向上します。

デジタルトランスフォーメーションへの取り組み：デジタルトランスフォーメーションが進む業界では、ハイパーオートメーションは、レガシーシステムの近代化、顧客体験の向上、イノベーションの促進に欠かせないツールとなります。デジタルの俊敏性に対する需要は、セクターを問わず市場の成長を加速させる。

主な課題

複雑な実装と統合：ハイパーオートメーションの導入には、AI、RPA、機械学習などさまざまなテクノロジーを既存のシステムに統合する必要があります。この複雑さが互換性の問題につながる可能性があり、スムーズな導入のためには多大な専門知識と投資が必要となります。

セキュリティとデータプライバシーの懸念：ハイパーオートメーションは大規模なデータ処理を伴うため、機密情報の保護が極めて重要になります。自動化システムの脆弱性は、企業をサイバー攻撃やデータ侵害にさらす可能性があり、組織にとってセキュリティとプライバシーが大きな課題となります。

主要動向：

AIを活用した意思決定：ハイパーオートメーションでは、ルーチンワークだけでなく、複雑な意思決定プロセスも自動化するため、AIの統合が進んでいます。この動向は、企業が結果を予測し、業務を最適化し、リアルタイムの意思決定精度を高めるのに役立ちます。

ローコード／ノーコードプラットフォームの利用の増加：ローコードプラットフォームやノーコードプラットフォームの台頭により、技術者でないユーザーでも簡単にプロセスを自動化できるようになりました。これにより、ハイパーオートメーションが民主化され、ITに過度に依存することなく、さまざまなビジネス機能に自動化ソリューションを迅速に展開できるようになります。

インテリジェントドキュメントプロセッシング（IDP）の拡大：ハイパーオートメーションは、インテリジェントドキュメントプロセッシングを活用して、ドキュメントからの非構造化データの抽出、分類、管理を自動化します。この動向は、ヘルスケアや金融など、大量の文書作成に依存する業界の効率を高める。

目次

第1章 世界のハイパーオートメーション市場：イントロダクション

• 市場概要
• 調査範囲
• 前提条件

第2章 エグゼクティブサマリー

第3章 VERIFIED MARKET RESEARCHの調査手法

• データマイニング
• バリデーション
• 一次資料
• データソース一覧

第4章 ハイパーオートメーションの世界市場の展望

• 概要
• 市場力学
  • 促進要因
  • 抑制要因
  • 機会
• ポーターのファイブフォースモデル
• バリューチェーン分析

第5章 ハイパーオートメーションの世界市場：展開別

• 概要
• オンプレミス
• クラウドベース

第6章 ハイパーオートメーションの世界市場：技術別

• ロボティックプロセスオートメーション（RPA）
• 人工知能（AI）と機械学習（ML）
• ビジネスプロセス管理（BPM）
• 自然言語処理（NLP）
• 光学式文字認識（OCR）
• デジタルツイン
• インテリジェントプロセスオートメーション（IPA）
• 予測分析

第7章 ハイパーオートメーションの世界市場：業界別

• 銀行、金融サービス、保険（BFSI）
• ヘルスケア、ライフサイエンス
• 製造業
• 小売・eコマース
• ITおよび電気通信
• 運輸・物流
• エネルギー・公益事業
• 政府・公共部門
• 不動産・建設

第8章 ハイパーオートメーションの世界市場：組織規模別

• 中小企業（SMEs）
• 大企業

第9章 ハイパーオートメーションの世界市場：地域別

• 概要
• 北米
  • 米国
  • カナダ
  • メキシコ
• 欧州
  • ドイツ
  • 英国
  • フランス
  • その他欧州
• アジア太平洋
  • 中国
  • 日本
  • インド
  • その他アジア太平洋
• 世界のその他の地域
  • ラテンアメリカ
  • 中東・アフリカ

第10章 世界のハイパーオートメーション市場の競合情勢

• 概要
• 各社の市場ランキング
• 主な発展戦略

第10章 企業プロファイル

• UiPath
• Automation Anywhere
• Blue Prism
• IBM
• Microsoft
• Pegasystems
• Appian
• WorkFusion
• Kofax
• NICE Systems.

第11章 付録

• 関連調査

Global Hyper Automation Market Size and Forecast

The Global Hyper Automation Market was valued at USD 1.01 Billion in 2024 and is projected to reach USD 3.86 Billion by 2032 growing at a CAGR of 18.25% from 2026 to 2032.

Hyper automation is the use of advanced technologies like AI, machine learning and RPA to automate complex business processes, enhancing efficiency and reducing the need for human intervention.

Its applications span industries like healthcare, manufacturing and finance, enabling faster decision-making, streamlining workflows and improving accuracy through automated data analysis, process monitoring and predictive maintenance.

The future of hyper automation lies in greater AI integration, expanding automation to more complex tasks, leading to self-operating systems and fostering innovation across industries, driving cost reduction and enhanced productivity.

Global Hyper Automation Market Dynamics

The key market dynamics that are shaping the global hyper automation market include:

Key Market Drivers:

Rising Demand for Efficiency: Organizations are seeking ways to enhance productivity by automating repetitive tasks, reducing human errors and cutting operational costs. Hyper automation addresses this need by integrating advanced technologies for seamless process optimization.

Advancements in AI and Machine Learning: As AI and machine learning technologies mature, they enable more complex tasks to be automated. This drives hyper automation adoption, allowing businesses to handle large-scale data and make intelligent, real-time decisions.

Increased Adoption of RPA: Robotic Process Automation (RPA) is a key enabler of hyper automation, automating routine business operations. Its growing implementation helps reduce manual work, allowing employees to focus on higher-value tasks, boosting overall efficiency.

Digital Transformation Initiatives: With industries undergoing digital transformation, hyper automation becomes a crucial tool for modernizing legacy systems, enhancing customer experiences and fostering innovation. The demand for digital agility accelerates the market's growth across sectors.

Key Challenges:

Complex Implementation and Integration: Implementing hyper automation requires integrating various technologies like AI, RPA and machine learning across existing systems. This complexity can lead to challenges in compatibility, requiring significant expertise and investment to ensure smooth adoption.

Security and Data Privacy Concerns: As hyper automation involves large-scale data processing, safeguarding sensitive information becomes crucial. Vulnerabilities in automation systems could expose businesses to cyberattacks or data breaches, making security and privacy major challenges for organizations.

Key Trends:

AI-Powered Decision Making: Hyper automation increasingly integrates AI to automate not just routine tasks but also complex decision-making processes. This trend helps businesses predict outcomes, optimize operations and enhance real-time decision accuracy.

Increased Use of Low-Code/No-Code Platforms: The rise of low-code and no-code platforms allows non-technical users to automate processes easily. This democratizes hyper automation, enabling faster deployment of automation solutions across different business functions without heavy IT dependency.

Expansion of Intelligent Document Processing (IDP): Hyper automation is leveraging intelligent document processing to automate the extraction, classification and management of unstructured data from documents. This trend enhances efficiency in industries relying on heavy documentation, like healthcare and finance.

Global Hyper Automation Market Regional Analysis

Here is a more detailed regional analysis of the global hyper automation market:

North America:

According to Verified Market Research, North America is expected to dominate the Global hyper automation market.

North America's strong focus on AI, machine learning and automation technologies drives its leadership in the hyper automation market globally.

The region benefits from early adoption of advanced solutions, fostering rapid digital transformation across various industries.

Leading technology companies based in North America continuously innovate, contributing significantly to the market's expansion and technological advancements.

Widespread use of cloud computing and RPA across businesses in North America accelerates automation adoption, improving operational efficiency and productivity.

Asia-Pacific:

According to Verified Market Research, Asia-Pacific is the fastest growing region in Global hyperautomation market.

The Asia-Pacific region is the most rapidly growing in the hyperautomation market, driven by increasing digital transformation initiatives and technological advancements.

Countries like China, India and Japan are adopting AI, RPA and automation solutions to enhance operational efficiency and competitiveness.

Growing investments in technology infrastructure and government support for automation further boost hyperautomation adoption in the Asia-Pacific region.

Rapid industrialization and a strong focus on improving productivity in sectors like manufacturing and logistics drive significant growth in this region.

Global Hyper Automation Market: Segmentation Analysis

The Global Hyper automation Market is segmented on the basis of Technology, Deployment, Industry Vertical, Organization Size and Geography.

Global Hyper Automation Market, by Technology

Robotic Process Automation (RPA)

Artificial Intelligence (AI) and Machine Learning (ML)

Business Process Management (BPM)

Natural Language Processing (NLP)

Optical Character Recognition (OCR)

Digital Twins

Intelligent Process Automation (IPA)

Predictive Analytics

Based on Technology, the hyper automation market is segmented into various advanced solutions like Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), Business Process Management (BPM) and Natural Language Processing (NLP). Artificial intelligence (AI) and machine learning (ML) dominate the worldwide hyper automation market. AI/ML advances automation by enabling intelligent decision-making, increasing efficiency, and streamlining complicated procedures across sectors.

Global Hyper Automation Market, by Deployment

On-premise

Cloud-based

Based on Deployment, the hyper automation market is segmented into on-premise and cloud-based solutions. On-premise deployment provides greater control over data and security but requires significant infrastructure investment. Cloud-based deployment leads the global hyper automation market because to its scalability, flexibility, and cost-effectiveness. It facilitates easy integration of automation technologies and lowers infrastructure costs, resulting with higher usage.

Global Hyper Automation Market, by Industry Vertical

Banking, Financial Services and Insurance (BFSI)

Healthcare and Life Sciences

Manufacturing

Retail and eCommerce

IT and Telecom

Transportation and Logistics

Energy and Utilities

Government and Public Sector

Real Estate and Construction

Based on Industry Vertical, the hyper automation market spans diverse sectors including healthcare, manufacturing, finance, retail and logistics The BFSI industry leads the global hyper automation market due to the significant demand for automation in fraud detection, customer service, and compliance. The industrial sector regularly monitors process optimization.

Global Hyper Automation Market, by Organization Size

Small and Medium Enterprises (SMEs)

Large Enterprises

Based on Organization Size, the hyper automation market is divided into small and medium enterprises (SMEs) and large enterprises. Large organizations lead the global hyper automation market, owing to their extensive resources, complex processes, and increased automation adoption to improve efficiency and scalability. Small and medium-sized enterprises are also gradually increasing their utilization.

Global Hyper Automation Market, by Geography

North America

Europe

Asia-Pacific

Latin America

Middle East & Africa

Based on Geography, the hyperautomation market is notably segmented into North America, Europe, Asia-Pacific, Latin America and the Middle East & Africa. North America leads in adoption due to advanced technology infrastructure and early innovation. Europe follows with significant investments in digital transformation. Asia-Pacific is experiencing rapid growth, driven by increased technology adoption and industrialization. Latin America and the Middle East & Africa are gradually expanding as automation technologies become more accessible.

Key Players

The Global Hyper automation Market study report will provide valuable insight with an emphasis on the global market. The major players in the Hyper automation market include UiPath, Automation Anywhere, Blue Prism, IBM, Microsoft, Pegasystems, Appian, WorkFusion, Kofax, NICE Systems.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share and market ranking analysis of the above- mentioned players globally.

Hyper Automation Market Recent Developments

In May 2023, UiPath released its 2023.4 platform, introducing new AI-powered features aimed at enhancing automation capabilities. This update included generative AI support, advanced developer tools and improved document understanding capabilities, allowing organizations to automate processes more efficiently and effectively.

In September 2023, Automation Anywhere announced enhancements to its AI-powered automation solutions, focusing on integrating generative AI capabilities to streamline business processes. This update aimed to empower users to create automations using natural language prompts, thus democratizing automation development across organizations.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL HYPER AUTOMATION MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL HYPER AUTOMATION MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3 Porters Five Force Model
• 4.4 Value Chain Analysis

5 GLOBAL HYPER AUTOMATION MARKET, BY Deployment

• 5.1 Overview
• 5.2 On-premise
• 5.3 Cloud-based

6 GLOBAL HYPER AUTOMATION MARKET, BY TECHNOLOGY

• 6.1 Robotic Process Automation (RPA)
• 6.2 Artificial Intelligence (AI) and Machine Learning (ML)
• 6.3 Business Process Management (BPM)
• 6.4 Natural Language Processing (NLP)
• 6.5 Optical Character Recognition (OCR)
• 6.6 Digital Twins
• 6.7 Intelligent Process Automation (IPA)
• 6.8 Predictive Analytics

7 Global Hyper Automation Market, by Industry Vertical

• 7.1 Banking, Financial Services and Insurance (BFSI)
• 7.2 Healthcare and Life Sciences
• 7.3 Manufacturing
• 7.4 Retail and eCommerce
• 7.5 IT and Telecom
• 7.6 Transportation and Logistics
• 7.7 Energy and Utilities
• 7.8 Government and Public Sector
• 7.9 Real Estate and Construction

8 Global Hyper Automation Market, by Organization Size

• 8.1 Small and Medium Enterprises (SMEs)
• 8.2 Large Enterprises

9 GLOBAL HYPER AUTOMATION MARKET, BY GEOGRAPHY

• 9.1 Overview
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
  • 9.2.3 Mexico
• 9.3 Europe
  • 9.3.1 Germany
  • 9.3.2 U.K.
  • 9.3.3 France
  • 9.3.4 Rest of Europe
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 Japan
  • 9.4.3 India
  • 9.4.4 Rest of Asia Pacific
• 9.5 Rest of the World
  • 9.5.1 Latin America
  • 9.5.2 Middle East and Africa

10 GLOBAL HYPER AUTOMATION MARKET COMPETITIVE LANDSCAPE

• 10.1 Overview
• 10.2 Company Market Ranking
• 10.3 Key Development Strategies

10 COMPANY PROFILES

• 11.1 UiPath
  • 11.1.1 Overview
  • 11.1.2 Financial Performance
  • 11.1.3 Product Outlook
  • 11.1.4 Key Developments
• 11.2 Automation Anywhere
  • 11.2.1 Overview
  • 11.2.2 Financial Performance
  • 11.2.3 Product Outlook
  • 11.2.4 Key Developments
• 11.3 Blue Prism
  • 11.3.1 Overview
  • 11.3.2 Financial Performance
  • 11.3.3 Product Outlook
  • 11.3.4 Key Developments
• 11.4 IBM
  • 11.4.1 Overview
  • 11.4.2 Financial Performance
  • 11.4.3 Product Outlook
  • 11.4.4 Key Developments
• 11.5 Microsoft
  • 11.5.1 Overview
  • 11.5.2 Financial Performance
  • 11.5.3 Product Outlook
  • 11.5.4 Key Developments
• 11.6 Pegasystems
  • 11.6.1 Overview
  • 11.6.2 Financial Performance
  • 11.6.3 Product Outlook
  • 11.6.4 Key Developments
• 11.7 Appian
  • 11.7.1 Overview
  • 11.7.2 Financial Performance
  • 11.7.3 Product Outlook
  • 11.7.4 Key Developments
• 11.8 WorkFusion
  • 11.8.1 Overview
  • 11.8.2 Financial Performance
  • 11.8.3 Product Outlook
  • 11.8.4 Key Developments
• 11.9 Kofax
  • 11.9.1 Overview
  • 11.9.2 Financial Performance
  • 11.9.3 Product Outlook
  • 11.9.4 Key Developments
• 11.10 NICE Systems.
  • 11.10.1 Overview
  • 11.10.2 Financial Performance
  • 11.10.3 Product Outlook
  • 11.10.4 Key Developments

11 Appendix

• 11.1 Related Research