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スマートフォン製造向けロボットプロセス自動化市場- 世界の産業規模、動向、機会、予測、ロボットタイプ別、コンポーネント別、組織規模別、地域別、競合別、2019年~2029年

Robotic Process Automation for Smartphone Manufacturing Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Robot Type, By Component, By Organization Size, By Region & Competition, 2019-2029F

出版日: | 発行: TechSci Research | ページ情報: 英文 181 Pages | 納期: 2~3営業日

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スマートフォン製造向けロボットプロセス自動化市場- 世界の産業規模、動向、機会、予測、ロボットタイプ別、コンポーネント別、組織規模別、地域別、競合別、2019年~2029年
出版日: 2024年08月12日
発行: TechSci Research
ページ情報: 英文 181 Pages
納期: 2~3営業日
  • 全表示
  • 概要
  • 目次
概要

スマートフォン製造向けロボットプロセス自動化の世界市場規模は2023年に47億米ドルとなり、2029年までの予測期間のCAGRは21.4%で堅調な成長が予測されています。

スマートフォン製造向けロボットプロセス自動化の世界市場は、生産プロセスにおける業務効率化、コスト削減、精度向上の絶え間ない追求により、著しい急成長を遂げています。人工知能や機械学習などの先進技術を統合したRPAは、従来人間が行っていた反復作業を自動化することで、スマートフォンの製造現場に革命をもたらしました。この変革により、ミスの削減、生産サイクルの加速、リソース配分の最適化が実現しました。製造業者は、組立、品質管理、包装を合理化し、人件費を大幅に削減し、全体的な生産性を向上させるために、RPAソリューションを採用するケースが増えています。また、世界のスマートフォン需要の高まりも市場拡大に拍車をかけており、企業は品質、スピード、カスタマイズに対する消費者の期待に応えるための革新的な方法を模索しています。技術が進化し続ける中、RPAはスマートフォン業界における卓越した製造のあくなき追求において、ますます極めて重要な役割を果たすようになっています。

市場概要
予測期間 2025-2029
市場規模:2023年 47億米ドル
市場規模:2029年 151億8,000万米ドル
CAGR:2024年~2029年 21.4%
急成長セグメント オートメーション機器
最大市場 アジア太平洋

市場促進要因

作業効率と精度

コスト削減とリソースの最適化

生産性の向上と生産サイクルの高速化

品質管理と一貫性

技術の進歩と革新

主な市場課題

統合の複雑性と適応性

データ・セキュリティとプライバシー

熟練労働力とトレーニングの必要性

規制遵守と基準

主な市場動向

AIと機械学習の統合の急速な進化

協働ロボット(Cobot)への注目

RPAシステムにおける柔軟性と拡張性の要求

IoT統合によるコネクティビティの強化

持続可能性とグリーン製造の重視

目次

第1章 概要

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 COVID-19が世界のスマートフォン製造向けロボットプロセス自動化市場に与える影響

第5章 顧客の声

第6章 世界のスマートフォン製造向けロボットプロセス自動化市場概要

第7章 世界のスマートフォン製造向けロボットプロセス自動化市場展望

  • 市場規模・予測
    • 金額別
  • 市場シェア・予測
    • ロボットタイプ別(直交、SCARA、多関節、デルタ、6軸ロボット、冗長、デュアルアーム、パラレル)
    • コンポーネント別(モーター、発電機、モーター制御、自動化装置、動力伝達装置)
    • 組織規模別(中小企業と大企業)
    • 地域別(北米、欧州、南米、中東・アフリカ、アジア太平洋)
  • 企業別(2023)
  • 市場マップ

第8章 北米のスマートフォン製造向けロボットプロセス自動化市場展望

  • 市場規模・予測
    • 金額別
  • 市場シェア・予測
    • ロボットタイプ別
    • コンポーネント別
    • 組織規模別
    • 国別
  • 北米:国別分析
    • 米国
    • カナダ
    • メキシコ

第9章 欧州のスマートフォン製造向けロボットプロセス自動化市場展望

  • 市場規模・予測
    • 金額別
  • 市場シェア・予測
    • ロボットタイプ別
    • コンポーネント別
    • 組織規模別
    • 国別
  • 欧州:国別分析
    • ドイツ
    • フランス
    • 英国
    • イタリア
    • スペイン
    • ベルギー

第10章 南米のスマートフォン製造向けロボットプロセス自動化市場展望

  • 市場規模・予測
    • 金額別
  • 市場シェア・予測
    • ロボットタイプ別
    • コンポーネント別
    • 組織規模別
    • 国別
  • 南米:国別分析
    • ブラジル
    • コロンビア
    • アルゼンチン
    • チリ
    • ペルー

第11章 中東・アフリカのスマートフォン製造向けロボットプロセス自動化市場展望

  • 市場規模・予測
    • 金額別
  • 市場シェア・予測
    • ロボットタイプ別
    • コンポーネント別
    • 組織規模別
    • 国別
  • 中東・アフリカ:国別分析
    • サウジアラビア
    • アラブ首長国連邦
    • 南アフリカ
    • トルコ
    • イスラエル

第12章 アジア太平洋地域のスマートフォン製造向けロボットプロセス自動化市場展望

  • 市場規模・予測
    • 金額別
  • 市場シェア・予測
    • ロボットタイプ別
    • コンポーネント別
    • 組織規模別
    • 国別
  • アジア太平洋地域:国別分析
    • 中国
    • インド
    • 日本
    • 韓国
    • オーストラリア
    • インドネシア
    • ベトナム

第13章 市場力学

  • 促進要因
  • 課題

第14章 市場動向と発展

第15章 企業プロファイル

  • ABB Ltd.
  • Fanuc Corporation
  • KUKA AG
  • Yaskawa Electric Corporation
  • Suzhou Elite Robot Co., Ltd.
  • Kawasaki Heavy Industries Ltd.
  • Mitsubishi Electric Corporation
  • Denso Corporation
  • Comau S.p.A.
  • Nachi-Fujikoshi Corporation

第16章 戦略的提言

第17章 調査会社について・免責事項

目次
Product Code: 22630

Global Robotic Process Automation for Smartphone Manufacturing Market was valued at USD 4.7 Billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 21.4% through 2029. The global market for Robotic Process Automation for Smartphone Manufacturing has experienced a significant surge driven by the relentless pursuit of operational efficiency, cost reduction, and enhanced precision in the production processes. RPA, integrating advanced technologies like artificial intelligence and machine learning, has revolutionized the smartphone manufacturing landscape by automating repetitive tasks traditionally performed by humans. This transformation has resulted in reduced errors, accelerated production cycles, and optimized resource allocation. Manufacturers increasingly adopt RPA solutions to streamline assembly, quality control, and packaging, significantly reducing labor costs and enhancing overall productivity. The market expansion is also fueled by the escalating demand for smartphones worldwide, prompting companies to seek innovative methods to meet consumer expectations for quality, speed, and customization. As technology continues to evolve, RPA is poised to play an increasingly pivotal role in the relentless pursuit of manufacturing excellence within the smartphone industry.

Market Overview
Forecast Period2025-2029
Market Size 2023USD 4.7 Billion
Market Size 2029USD 15.18 Billion
CAGR 2024-202921.4%
Fastest Growing SegmentAutomation Equipment
Largest MarketAsia Pacific

Key Market Drivers

Operational Efficiency and Precision

Operational efficiency and precision play a pivotal role in driving the Global Robotic Process Automation for Smartphone Manufacturing Market. Robotic Process Automation (RPA) systems are instrumental in streamlining manufacturing processes, significantly enhancing operational efficiency. These systems execute tasks with meticulous precision, minimizing errors in assembling components, conducting quality checks, and managing the overall production line. By automating repetitive and intricate tasks, RPA ensures consistent and accurate execution, reducing the margin for human error and enhancing the quality of smartphones produced. The implementation of RPA optimizes the use of resources, mitigating inefficiencies and wastage in the production process. The precision offered by RPA significantly elevates the accuracy and consistency of tasks, resulting in a higher standard of finished products. These systems operate continuously, ensuring uninterrupted production cycles, thereby improving productivity and meeting the escalating demand for smartphones globally. The amalgamation of operational efficiency and precision through RPA not only accelerates the manufacturing process but also contributes to cost reduction, enabling manufacturers to allocate resources more effectively and remain competitive in the dynamic smartphone market landscape. This focus on efficiency and precision serves as a cornerstone in the advancement and growth of RPA in smartphone manufacturing, offering a vital edge in an industry that demands high-quality, swiftly produced devices to meet consumer expectations.

Cost Reduction and Resource Optimization

Cost reduction and resource optimization are critical drivers propelling the Global Robotic Process Automation for Smartphone Manufacturing Market. RPA systems fundamentally transform the manufacturing landscape by automating tasks that were traditionally labor-intensive. By replacing manual labor with efficient and precise automated systems, manufacturers significantly reduce operational costs, primarily in labor expenses. This optimization allows companies to allocate human resources to more intricate, creative tasks, while repetitive and routine processes are efficiently managed by RPA. The implementation of RPA in smartphone manufacturing not only curtails labor costs but also mitigates errors, consequently reducing material waste and enhancing the overall efficiency of production processes. Additionally, RPA optimizes the utilization of resources, leading to a more streamlined and judicious allocation of materials, time, and energy. By minimizing inefficiencies and maximizing productivity, RPA contributes to cost reduction, ensuring a competitive edge in the dynamic smartphone market. This focus on cost efficiency and resource optimization remains a driving force in the widespread adoption and continuous advancement of RPA in smartphone manufacturing, emphasizing the critical role these systems play in the industry's economic viability and sustainability.

Enhanced Productivity and Accelerated Production Cycles

Enhanced productivity and accelerated production cycles are instrumental in propelling the Global Robotic Process Automation for Smartphone Manufacturing Market. RPA systems revolutionize the manufacturing landscape by significantly boosting productivity through the automation of repetitive tasks, leading to seamless and continuous operations. By replacing manual labor with efficient, automated systems, RPA enables a substantial increase in the speed and output of smartphone production. These systems work tirelessly without the constraints of breaks or fatigue, ensuring uninterrupted manufacturing processes. The precision and consistency of RPA not only enhance the overall quality of smartphones but also expedite production cycles, allowing for quicker turnaround times in delivering smartphones to the market. This heightened productivity serves as a critical driver in meeting the escalating demands for smartphones globally, providing manufacturers with a competitive advantage in a market that thrives on swift innovation and timely product releases. The emphasis on enhanced productivity and accelerated production cycles through RPA underscores its pivotal role in driving efficiency, meeting consumer demands, and shaping the future of smartphone manufacturing.

Quality Control and Consistency

Quality control and consistency are key drivers propelling the Global Robotic Process Automation for Smartphone Manufacturing Market. RPA systems, equipped with advanced sensors and precision control mechanisms, revolutionize quality control in smartphone production by conducting meticulous inspections to ensure each unit meets stringent quality standards. By automating tasks traditionally prone to human error, RPA significantly reduces defects and variations in the manufacturing process, leading to consistent, high-quality smartphone production. Integrating RPA in quality control ensures adherence to predefined specifications, resulting in uniformity across the product line. This emphasis on maintaining consistency and stringent quality standards enhances consumer confidence in the final product and reduces the likelihood of recalls or warranty issues, ultimately bolstering brand reputation. The focus on quality control and consistency through RPA underscores its crucial role in delivering reliable smartphones and meeting consumer expectations for superior quality and reliability, thereby driving the market forward.

Technological Advancements and Innovation

Technological advancements and innovation serve as the driving force behind the evolution of the Global Robotic Process Automation for Smartphone Manufacturing Market. With rapid progress in AI, machine learning, and robotics, innovative technologies continually reshape the landscape of smartphone manufacturing. These advancements enable the development of more sophisticated RPA systems capable of handling complex tasks and adapting to dynamic production environments. Integrating cutting-edge technologies into RPA enhances its capabilities, facilitating increased precision, speed, and adaptability within manufacturing processes. As new breakthroughs emerge, such as the integration of IoT devices and sensor technology, RPA systems become more interconnected, allowing for real-time data collection and analysis, ultimately optimizing the manufacturing process. Manufacturers leveraging these innovations gain a competitive advantage, meeting the demands for faster, more efficient production while maintaining high standards of quality. Continuous innovation and the incorporation of emerging technologies into RPA not only streamline operations but also drive the industry towards further advancements, setting new benchmarks for the future of smartphone manufacturing. This constant pursuit of innovation and technological progression shapes the RPA landscape, positioning it at the forefront of the ever-evolving smartphone industry.

Key Market Challenges

Integration Complexity and Adaptability

A significant challenge in deploying Robotic Process Automation for Smartphone Manufacturing is integrating these systems into existing manufacturing infrastructure. Manufacturing facilities often have diverse legacy systems, requiring seamless integration with RPA technologies. The main obstacle is ensuring compatibility and adaptability of RPA software and hardware with the current setup. Technological evolution presents an ongoing challenge as manufacturers need RPA systems to adapt to software updates and hardware advancements. Continuous adaptation is crucial to avoid disruptions in manufacturing processes. Therefore, investing in RPA solutions that offer integration capabilities and flexibility to adapt to technological advancements is essential for manufacturers looking to implement these systems smoothly without interfering with established workflows.

Data Security and Privacy Concerns

The implementation of Robotic Process Automation for Smartphone Manufacturing brings forth a significant challenge concerning the management of extensive volumes of sensitive data associated with smartphone designs, production procedures, and consumer information. This influx of data poses a considerable challenge in establishing and maintaining robust security measures aimed at fortifying defenses against potential cyber threats, data breaches, and unauthorized access. Manufacturers are tasked with the critical responsibility of instituting stringent security protocols to safeguard not only their proprietary information and trade secrets but also the highly confidential customer data at risk. The repercussions of any security breach or lapse in protective measures could be profound, impacting both the company and its esteemed customer base. As such, the mandate for manufacturers is clear: comprehensive and unwavering dedication to implementing stringent security measures to shield sensitive information from potential cyber vulnerabilities and protect the trust and integrity of both their business operations and their customers' confidential data.

Skilled Workforce and Training Needs

The integration of Robotic Process Automation (RPA) into Smartphone Manufacturing optimizes various tasks but requires a skilled workforce capable of managing, maintaining, and overseeing these sophisticated systems. Implementing RPA in manufacturing demands proficient professionals who can operate and troubleshoot these complex technologies effectively. As RPA continues to evolve, there's a growing demand for experts well-versed in robotics, automation, and data analysis. Ensuring a capable workforce proficient in handling these evolving technologies while providing necessary training and support poses a consistent challenge for manufacturers. This challenge is heightened by the competitive landscape, making it difficult to attract and retain talent in this specialized and sought-after field. Manufacturers must urgently cultivate and sustain a pool of skilled professionals familiar with RPA intricacies to meet the evolving demands of the smartphone manufacturing industry. This requires dedicated efforts in recruitment and ongoing training to ensure a proficient workforce capable of leveraging the full potential of RPA technologies within the manufacturing environment.

Regulatory Compliance and Standards

Compliance with regulatory standards across diverse regions poses a substantial hurdle for Robotic Process Automation for Smartphone Manufacturing in the realm of smartphone manufacturing. Manufacturers encounter a labyrinth of regulations spanning environmental impact, labor laws, product safety, and data privacy within varied global markets. Meeting these stringent and multifaceted standards requires a vigilant commitment to ensuring that RPA systems and manufacturing processes align with the varied and evolving regulatory landscape. This entails a continuous process of monitoring, adapting, and implementing stringent compliance measures. However, this endeavor can prove to be both resource-intensive and complex. Manufacturers are compelled to remain ever-vigilant, ensuring their RPA systems and manufacturing practices consistently adhere to these evolving regulations. Keeping abreast of the constant changes in regulations is not just a challenge but an absolute necessity for the successful integration of RPA within smartphone manufacturing. This critical aspect demands unwavering attention to detail and an agile approach to ensure ongoing compliance and adherence to the diverse and dynamic regulatory requirements across global markets.

Key Market Trends

Rapid Evolution of AI and Machine Learning Integration

Compliance with regulatory standards is a formidable challenge faced by Robotic Process Automation for Smartphone Manufacturing. Manufacturers grapple with a maze of regulations encompassing environmental impact, labor laws, product safety, and data privacy across diverse global markets. Meeting these rigorous and multifaceted standards necessitates an unwavering commitment to align RPA systems and manufacturing processes with the continually evolving regulatory landscape. This demanding task involves a perpetual cycle of vigilance, adaptation, and the implementation of stringent compliance measures. Yet, navigating this terrain proves to be not only complex but also resource-intensive. Manufacturers find themselves in a perpetual state of watchfulness, ensuring that their RPA systems and manufacturing practices consistently meet the ever-evolving regulatory standards. Staying abreast of these ever-changing regulations is not merely a challenge; it stands as a non-negotiable prerequisite for the successful integration of RPA into smartphone manufacturing. This pivotal facet demands an unswerving dedication to meticulous attention to detail and a nimble approach to maintain ongoing compliance while adhering to the diverse and dynamic regulatory requirements spread across global markets.

Focus on Collaborative Robotics (Cobots)

The adoption of collaborative robotics, known as cobots, is a significant trend in smartphone manufacturing. Unlike traditional industrial robots, cobots work alongside human workers, facilitating a more synergistic and safer manufacturing environment. In smartphone assembly lines, cobots assist in tasks that require dexterity and precision, working alongside human operators. This trend is reshaping the manufacturing landscape by improving efficiency and promoting a safer working environment while maintaining the benefits of automation.

Demand for Flexibility and Scalability in RPA Systems

Manufacturers are showing a growing preference for RPA systems that provide both adaptability and scalability, especially in the dynamic landscape of smartphone design and production. There's an increased need for automation solutions that can easily adapt to changes in product specifications, production volumes, and assembly processes. Manufacturers are seeking scalable systems that can rapidly expand or contract to meet market demands, offering the agility required to navigate shifting consumer preferences and market fluctuations. This focus on adaptable and scalable RPA solutions underscores the necessity for manufacturers to remain responsive and agile in meeting the evolving demands of the smartphone market.

Enhanced Connectivity through IoT Integration

The integration of RPA with the Internet of Things (IoT) is a growing trend in smartphone manufacturing. IoT-enabled devices and sensors collect and transmit real-time data, allowing RPA systems to make informed decisions and adjustments on the production line. This connectivity facilitates predictive maintenance, inventory management, and process optimization. By utilizing IoT in conjunction with RPA, manufacturers can create smarter, more efficient production processes that minimize downtime and enhance overall productivity.

Emphasis on Sustainability and Green Manufacturing

There's a noticeable trend towards sustainability in smartphone manufacturing, driving the adoption of RPA systems that contribute to green initiatives. Manufacturers are incorporating RPA to optimize energy usage, reduce material waste, and enhance recycling processes. RPA enables more precise control over resource allocation, leading to a reduction in environmental impact while ensuring efficient production. This trend aligns with consumer preferences for eco-friendly products and regulatory pressures to reduce the carbon footprint of manufacturing operations.

Segmental Insights

Robot Type Insights

The Global Robotic Process Automation for Smartphone Manufacturing Market was predominantly dominated by the Articulated robots segment and is anticipated to maintain its dominance throughout the forecast period. Articulated robots, known for their versatility and flexibility, found significant application in various stages of smartphone manufacturing. Their multiple jointed arm design, mimicking the flexibility and range of motion of a human arm, made them highly adept at handling diverse tasks within the production line, such as assembling components, testing, and packaging smartphones. These robots are capable of reaching into confined spaces, adapting to various angles, and executing complex movements required in smartphone assembly. Their widespread adoption and proven efficiency in handling intricate tasks in manufacturing operations have solidified their prominence in the smartphone manufacturing landscape. Ongoing advancements in articulation precision and control systems have further reinforced their position, making them integral to the efficient and agile production of smartphones. With their adaptability and continued technological enhancements, articulated robots are expected to maintain their lead, serving as the cornerstone of RPA in smartphone manufacturing during the forecast period.

Organization Size Insights

The large enterprises segment significantly dominated the Global Robotic Process Automation for Smartphone Manufacturing Market and is anticipated to maintain its dominance throughout the forecast period. Large enterprises, with their extensive resources and capacity for substantial investments in advanced technologies, spearheaded the adoption of RPA in smartphone manufacturing. The implementation of RPA systems in large enterprises allowed for comprehensive and integrated automation across the manufacturing processes. These organizations had the financial prowess to deploy sophisticated RPA solutions, enabling them to optimize production, enhance efficiency, and maintain stringent quality standards in smartphone manufacturing. Their ability to allocate substantial budgets for research, development, and implementation of cutting-edge automation technologies gave them a competitive edge. Large enterprises' capability to scale operations and accommodate complex RPA systems across their manufacturing facilities provided a solid foundation for their dominance in the smartphone manufacturing market. As these entities continue to drive innovation and invest in RPA advancements, their leadership in this sector is expected to persist, maintaining their prominent role in shaping the future of smartphone manufacturing.

Regional Insights

The Asia Pacific region emerged as the dominant force in the Global Robotic Process Automation for Smartphone Manufacturing Market, and it is projected to sustain its dominance throughout the forecast period. Asia Pacific's prominence is attributed to the concentration of major smartphone manufacturing hubs, particularly in countries like China, South Korea, Japan, and Taiwan. These regions have become epicenters for high-volume smartphone production due to the presence of established manufacturers and a robust supply chain ecosystem. The region's dominance in RPA for smartphone manufacturing is also fueled by a combination of factors, including technological advancements, substantial investments in automation, and a skilled workforce adept at handling RPA systems. Government initiatives supporting technological innovation and the adoption of automation in manufacturing have further bolstered the region's leadership in this market. As the demand for smartphones continues to surge globally, coupled with the region's infrastructure and expertise in high-tech manufacturing, Asia Pacific is poised to maintain its lead in the RPA for smartphone manufacturing market, driving innovation and setting industry standards throughout the forecast period.

Key Market Players

ABB Ltd.

Fanuc Corporation

KUKA AG

Yaskawa Electric Corporation

Suzhou Elite Robot Co., Ltd.

Kawasaki Heavy Industries Ltd.

Mitsubishi Electric Corporation

Denso Corporation

Comau S.p.A.

Nachi-Fujikoshi Corporation

Report Scope:

In this report, the Global Robotic Process Automation For Smartphone Manufacturing Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Robotic Process Automation For Smartphone Manufacturing Market, By Component:

    Motor Generators Motor Controls Automation Equipment Power Transmission Equipment

Robotic Process Automation For Smartphone Manufacturing Market, By Organization Size:

    Small & Medium Enterprise Large Enterprise

Robotic Process Automation For Smartphone Manufacturing Market, By Robot Type:

    Cartesian SCARA Articulated Delta 6-Axis Robot Redundant Dual Arm and Parallel

Robotic Process Automation For Smartphone Manufacturing Market, By Region:

    North America
    • United States
    • Canada
    • Mexico
    Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
    • Belgium
    Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Indonesia
    • Vietnam
    South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE
    • Turkey
    • Israel

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Robotic Process Automation For Smartphone Manufacturing Market.

Available Customizations:

Global Robotic Process Automation For Smartphone Manufacturing market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Formulation of the Scope
  • 2.4. Assumptions and Limitations
  • 2.5. Sources of Research
    • 2.5.1. Secondary Research
    • 2.5.2. Primary Research
  • 2.6. Approach for the Market Study
    • 2.6.1. The Bottom-Up Approach
    • 2.6.2. The Top-Down Approach
  • 2.7. Methodology Followed for Calculation of Market Size & Market Shares
  • 2.8. Forecasting Methodology
    • 2.8.1. Data Triangulation & Validation

3. Executive Summary

4. Impact of COVID-19 on Global Robotic Process Automation For Smartphone Manufacturing Market

5. Voice of Customer

6. Global Robotic Process Automation For Smartphone Manufacturing Market Overview

7. Global Robotic Process Automation For Smartphone Manufacturing Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Robot Type (Cartesian, SCARA, Articulated, Delta, 6-Axis Robot, Redundant, Dual Arm and Parallel)
    • 7.2.2. By Component (Motor, Generators, Motor Controls, Automation Equipment and Power Transmission Equipment)
    • 7.2.3. By Organization Size (Small & Medium Enterprise and Large Enterprise)
    • 7.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
  • 7.3. By Company (2023)
  • 7.4. Market Map

8. North America Robotic Process Automation For Smartphone Manufacturing Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Robot Type
    • 8.2.2. By Component
    • 8.2.3. By Organization Size
    • 8.2.4. By Country
  • 8.3. North America: Country Analysis
    • 8.3.1. United States Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Robot Type
        • 8.3.1.2.2. By Component
        • 8.3.1.2.3. By Organization Size
    • 8.3.2. Canada Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Robot Type
        • 8.3.2.2.2. By Component
        • 8.3.2.2.3. By Organization Size
    • 8.3.3. Mexico Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Robot Type
        • 8.3.3.2.2. By Component
        • 8.3.3.2.3. By Organization Size

9. Europe Robotic Process Automation For Smartphone Manufacturing Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Robot Type
    • 9.2.2. By Component
    • 9.2.3. By Organization Size
    • 9.2.4. By Country
  • 9.3. Europe: Country Analysis
    • 9.3.1. Germany Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Robot Type
        • 9.3.1.2.2. By Component
        • 9.3.1.2.3. By Organization Size
    • 9.3.2. France Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Robot Type
        • 9.3.2.2.2. By Component
        • 9.3.2.2.3. By Organization Size
    • 9.3.3. United Kingdom Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Robot Type
        • 9.3.3.2.2. By Component
        • 9.3.3.2.3. By Organization Size
    • 9.3.4. Italy Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 9.3.4.1. Market Size & Forecast
        • 9.3.4.1.1. By Value
      • 9.3.4.2. Market Share & Forecast
        • 9.3.4.2.1. By Robot Type
        • 9.3.4.2.2. By Component
        • 9.3.4.2.3. By Organization Size
    • 9.3.5. Spain Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 9.3.5.1. Market Size & Forecast
        • 9.3.5.1.1. By Value
      • 9.3.5.2. Market Share & Forecast
        • 9.3.5.2.1. By Robot Type
        • 9.3.5.2.2. By Component
        • 9.3.5.2.3. By Organization Size
    • 9.3.6. Belgium Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 9.3.6.1. Market Size & Forecast
        • 9.3.6.1.1. By Value
      • 9.3.6.2. Market Share & Forecast
        • 9.3.6.2.1. By Robot Type
        • 9.3.6.2.2. By Component
        • 9.3.6.2.3. By Organization Size

10. South America Robotic Process Automation For Smartphone Manufacturing Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Robot Type
    • 10.2.2. By Component
    • 10.2.3. By Organization Size
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Robot Type
        • 10.3.1.2.2. By Component
        • 10.3.1.2.3. By Organization Size
    • 10.3.2. Colombia Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Robot Type
        • 10.3.2.2.2. By Component
        • 10.3.2.2.3. By Organization Size
    • 10.3.3. Argentina Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Robot Type
        • 10.3.3.2.2. By Component
        • 10.3.3.2.3. By Organization Size
    • 10.3.4. Chile Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Robot Type
        • 10.3.4.2.2. By Component
        • 10.3.4.2.3. By Organization Size
    • 10.3.5. Peru Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 10.3.5.1. Market Size & Forecast
        • 10.3.5.1.1. By Value
      • 10.3.5.2. Market Share & Forecast
        • 10.3.5.2.1. By Robot Type
        • 10.3.5.2.2. By Component
        • 10.3.5.2.3. By Organization Size

11. Middle East & Africa Robotic Process Automation For Smartphone Manufacturing Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Robot Type
    • 11.2.2. By Component
    • 11.2.3. By Organization Size
    • 11.2.4. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. Saudi Arabia Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Robot Type
        • 11.3.1.2.2. By Component
        • 11.3.1.2.3. By Organization Size
    • 11.3.2. UAE Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Robot Type
        • 11.3.2.2.2. By Component
        • 11.3.2.2.3. By Organization Size
    • 11.3.3. South Africa Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Robot Type
        • 11.3.3.2.2. By Component
        • 11.3.3.2.3. By Organization Size
    • 11.3.4. Turkey Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Robot Type
        • 11.3.4.2.2. By Component
        • 11.3.4.2.3. By Organization Size
    • 11.3.5. Israel Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 11.3.5.1. Market Size & Forecast
        • 11.3.5.1.1. By Value
      • 11.3.5.2. Market Share & Forecast
        • 11.3.5.2.1. By Robot Type
        • 11.3.5.2.2. By Component
        • 11.3.5.2.3. By Organization Size

12. Asia Pacific Robotic Process Automation For Smartphone Manufacturing Market Outlook

  • 12.1. Market Size & Forecast
    • 12.1.1. By Value
  • 12.2. Market Share & Forecast
    • 12.2.1. By Robot Type
    • 12.2.2. By Component
    • 12.2.3. By Organization Size
    • 12.2.4. By Country
  • 12.3. Asia-Pacific: Country Analysis
    • 12.3.1. China Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 12.3.1.1. Market Size & Forecast
        • 12.3.1.1.1. By Value
      • 12.3.1.2. Market Share & Forecast
        • 12.3.1.2.1. By Robot Type
        • 12.3.1.2.2. By Component
        • 12.3.1.2.3. By Organization Size
    • 12.3.2. India Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 12.3.2.1. Market Size & Forecast
        • 12.3.2.1.1. By Value
      • 12.3.2.2. Market Share & Forecast
        • 12.3.2.2.1. By Robot Type
        • 12.3.2.2.2. By Component
        • 12.3.2.2.3. By Organization Size
    • 12.3.3. Japan Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 12.3.3.1. Market Size & Forecast
        • 12.3.3.1.1. By Value
      • 12.3.3.2. Market Share & Forecast
        • 12.3.3.2.1. By Robot Type
        • 12.3.3.2.2. By Component
        • 12.3.3.2.3. By Organization Size
    • 12.3.4. South Korea Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 12.3.4.1. Market Size & Forecast
        • 12.3.4.1.1. By Value
      • 12.3.4.2. Market Share & Forecast
        • 12.3.4.2.1. By Robot Type
        • 12.3.4.2.2. By Component
        • 12.3.4.2.3. By Organization Size
    • 12.3.5. Australia Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 12.3.5.1. Market Size & Forecast
        • 12.3.5.1.1. By Value
      • 12.3.5.2. Market Share & Forecast
        • 12.3.5.2.1. By Robot Type
        • 12.3.5.2.2. By Component
        • 12.3.5.2.3. By Organization Size
    • 12.3.6. Indonesia Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 12.3.6.1. Market Size & Forecast
        • 12.3.6.1.1. By Value
      • 12.3.6.2. Market Share & Forecast
        • 12.3.6.2.1. By Robot Type
        • 12.3.6.2.2. By Component
        • 12.3.6.2.3. By Organization Size
    • 12.3.7. Vietnam Robotic Process Automation For Smartphone Manufacturing Market Outlook
      • 12.3.7.1. Market Size & Forecast
        • 12.3.7.1.1. By Value
      • 12.3.7.2. Market Share & Forecast
        • 12.3.7.2.1. By Robot Type
        • 12.3.7.2.2. By Component
        • 12.3.7.2.3. By Organization Size

13. Market Dynamics

  • 13.1. Drivers
  • 13.2. Challenges

14. Market Trends and Developments

15. Company Profiles

  • 15.1. ABB Ltd.
    • 15.1.1. Business Overview
    • 15.1.2. Key Revenue and Financials
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel/Key Contact Person
    • 15.1.5. Key Product/Services Offered
  • 15.2. Fanuc Corporation
    • 15.2.1. Business Overview
    • 15.2.2. Key Revenue and Financials
    • 15.2.3. Recent Developments
    • 15.2.4. Key Personnel/Key Contact Person
    • 15.2.5. Key Product/Services Offered
  • 15.3. KUKA AG
    • 15.3.1. Business Overview
    • 15.3.2. Key Revenue and Financials
    • 15.3.3. Recent Developments
    • 15.3.4. Key Personnel/Key Contact Person
    • 15.3.5. Key Product/Services Offered
  • 15.4. Yaskawa Electric Corporation
    • 15.4.1. Business Overview
    • 15.4.2. Key Revenue and Financials
    • 15.4.3. Recent Developments
    • 15.4.4. Key Personnel/Key Contact Person
    • 15.4.5. Key Product/Services Offered
  • 15.5. Suzhou Elite Robot Co., Ltd.
    • 15.5.1. Business Overview
    • 15.5.2. Key Revenue and Financials
    • 15.5.3. Recent Developments
    • 15.5.4. Key Personnel/Key Contact Person
    • 15.5.5. Key Product/Services Offered
  • 15.6. Kawasaki Heavy Industries Ltd.
    • 15.6.1. Business Overview
    • 15.6.2. Key Revenue and Financials
    • 15.6.3. Recent Developments
    • 15.6.4. Key Personnel/Key Contact Person
    • 15.6.5. Key Product/Services Offered
  • 15.7. Mitsubishi Electric Corporation
    • 15.7.1. Business Overview
    • 15.7.2. Key Revenue and Financials
    • 15.7.3. Recent Developments
    • 15.7.4. Key Personnel/Key Contact Person
    • 15.7.5. Key Product/Services Offered
  • 15.8. Denso Corporation
    • 15.8.1. Business Overview
    • 15.8.2. Key Revenue and Financials
    • 15.8.3. Recent Developments
    • 15.8.4. Key Personnel/Key Contact Person
    • 15.8.5. Key Product/Services Offered
  • 15.9. Comau S.p.A.
    • 15.9.1. Business Overview
    • 15.9.2. Key Revenue and Financials
    • 15.9.3. Recent Developments
    • 15.9.4. Key Personnel/Key Contact Person
    • 15.9.5. Key Product/Services Offered
  • 15.10. Nachi-Fujikoshi Corporation
    • 15.10.1. Business Overview
    • 15.10.2. Key Revenue and Financials
    • 15.10.3. Recent Developments
    • 15.10.4. Key Personnel/Key Contact Person
    • 15.10.5. Key Product/Services Offered

16. Strategic Recommendations

17. About Us & Disclaimer