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市场调查报告书
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1474064

全球影像优化市场 - 2024-2031

Global Image Optimization Market - 2024-2031

出版日期: | 出版商: DataM Intelligence | 英文 180 Pages | 商品交期: 最快1-2个工作天内

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简介目录

概述

全球影像优化市场在 2023 年达到 1.532 亿美元,预计到 2031 年将达到 2.387 亿美元,2024-2031 年预测期间复合年增长率为 5.7%。

响应式和行动优先网页设计的成长趋势开始势头强劲。透过行动装置存取资料的消费者数量不断增加,行动平台的图片优化变得非常重要。影像优化可提升流畅的行动体验,确保影像快速载入并在平板电脑上以最佳效果显示。由于全球电子商务的快速崛起,线上零售平台上产品照片、促销横幅和视觉资料的使用急剧增加。优化照片对于增加产品曝光、吸引顾客、促进转换至关重要。电子商务公司花钱进行形象优化,以提高客户满意度和销售成功率。

主要参与者不断推出的产品有助于推动预测期内全球市场的成长。例如,2022 年 5 月 23 日,日立推出了 Lumada Inspection Insights,并加强了其数位和绿色产品组合。两家公司提供端到端的数位解决方案组合,用于关键资产的监控、检查和最佳化。 Lumada Inspection Insights 由 Hitachi Energy 和 Hitachi Vantara 开发,使用强大的人工智慧 (AI) 来分析照片和视频,包括雷射雷达、热图像和卫星图像。客户可以自动化资产检查,支援永续发展目标,提高实体安全性并降低与风暴或火灾相关的风险和影响。

由于该地区电子商务行业的快速成长,北美成为市场的主导地区。主要关键参与者不断推出的产品有助于推动预测期内的市场成长。例如,2023年1月3日,Sony电子推出了2023款BRAVIA XR,这是一个有5种不同型号的电视阵容,例如X95L和X93L Mini LED、X90L全阵列LED、A95L QD-OLED和A80L OLED。对于寻求更身临其境的声音体验的消费者来说,每个型号还与索尼条形音箱配合使用,提供 360 度空间声音映射3,生成幻象扬声器和声场优化。

动力学

数位内容的快速成长

随着电子商务、社交媒体、数位行销和教育等多个行业的数位内容呈指数级增长,线上图像的使用量正在迅速增长。由于数位材料发展的成长,对用于管理和提高这些图片性能的影像优化解决方案的需求不断增长。内容管道的数量不断增加,包括部落格、社交媒体网路、线上市场和串流媒体服务,使得个人和公司不断创建和分发视觉内容成为可能。为了确保这些图片快速加载、看起来出色并在所有平台和设备上提供一致的用户体验,图像优化变得至关重要。

由于电子商务平台和线上购物的扩张,数位商店中充斥着产品照片、行销视觉效果和促销图形。为了让这些图片吸引流量、鼓励转换并在电子商务领域具有竞争力,必须对其进行最佳化,以实现快速加载时间、出色的呈现效果和行动装置上的可访问性。视觉效果在数位广告活动、电子邮件行销和内容行销策略中发挥重要作用,以成功吸引消费者的注意力并传达讯息。为了获得最佳效能和参与度指标,资讯图表、横幅图像、广告创意和多媒体内容都必须针对图像进行最佳化。

电子商务扩张

产品照片在客户的电子商务购买中发挥着重要作用。潜在客户更有可能被优化后的产品照片所吸引和参与,这些照片加载速度快、品质优异并提供产品的深入视图。由于影像优化,电子商务系统可以有效地展示商品,从而提高销售额和转换率。随着越来越多的人使用行动装置进行线上​​购物,行动优化变得至关重要。确保产品照片和整个购物体验针对智慧型手机和平板电脑等行动装置进行最佳化,称为影像优化。在行动平台上,这增强了用户体验并提高了完成购买的可能性。

电子商务专家表示,由于全球智慧型手机等行动装置的使用不断增加,电子商务产业正在不断扩大。到 2024 年,预计行动销售将占电子商务总购买量的 42.9% 左右。约 47% 的美国消费者表示透过社群平台购买商品,超过 84% 的中国消费者表示在社群网路上购物,比例位居全球第一。

复杂性和技术专长

影像优化通常需要了解各种技术概念,例如影像格式、压缩演算法、色彩空间、解析度、元资料和 Web 效能最佳化策略。用户,尤其是非技术人员发现导航这些概念并有效实施最佳化技术具有挑战性。使用影像优化工具和软体需要熟悉其特性、设定和功能。进阶影像编辑软体或最佳化平台通常具有学习曲线,使得没有技术背景的使用者很难充分利用这些工具。

为不同的用例和内容类型选择正确的最佳化技术需要专业知识。例如,了解何时使用有损压缩来最大程度地减少檔案大小,或何时使用无损压缩优先考虑品质是复杂的决策,需要技术知识和经验。对于不熟悉技术整合流程的使用者来说,将影像优化解决方案整合到现有工作流程、电子商务平台或开发环境中可能具有挑战性。相容性问题、API 使用和客製化要求构成了障碍。

目录

第 1 章:方法与范围

  • 研究方法论
  • 报告的研究目的和范围

第 2 章:定义与概述

第 3 章:执行摘要

  • 按组件分類的片段
  • 部署片段
  • 按企业规模分類的片段
  • 技术片段
  • 最终使用者的片段
  • 按地区分類的片段

第 4 章:动力学

  • 影响因素
    • 司机
      • 数位内容的快速成长
      • 电子商务扩张
    • 限制
      • 复杂性和技术专长
    • 机会
    • 影响分析

第 5 章:产业分析

  • 波特五力分析
  • 供应链分析
  • 定价分析
  • 监管分析
  • 俄乌战争影响分析
  • DMI 意见

第 6 章:COVID-19 分析

  • COVID-19 分析
    • COVID-19 之前的情况
    • COVID-19 期间的情况
    • COVID-19 后的情景
  • COVID-19 期间的定价动态
  • 供需谱
  • 疫情期间政府与市场相关的倡议
  • 製造商策略倡议
  • 结论

第 7 章:按组件

  • 软体
  • 服务

第 8 章:透过部署

  • 基于云端的
  • 本地部署

第 9 章:按企业规模

  • 中小企业
  • 大型企业

第 10 章:按技术

  • 基于机器学习的优化
  • 人工智慧驱动的优化
  • 手动优化

第 11 章:最终用户

  • 电子商务与零售
  • 媒体和娱乐
  • 旅游和酒店业
  • 医疗保健和生命科学
  • 教育
  • 其他的

第 12 章:按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 亚太其他地区
  • 中东和非洲

第13章:竞争格局

  • 竞争场景
  • 市场定位/份额分析
  • 併购分析

第 14 章:公司简介

  • TinyIMG
    • 公司简介
    • 产品组合和描述
    • 财务概览
    • 主要进展
  • Nekkra UG
  • ShortPixel
  • Piio
  • ImageKit.io
  • imgix
  • Cloudinary
  • Imagify
  • Gumlet
  • Scaleflex

第 15 章:附录

简介目录
Product Code: ICT8404

Overview

Global Image Optimization Market reached US$ 153.2 Million in 2023 and is expected to reach US$ 238.7 Million by 2031, growing with a CAGR of 5.7% during the forecast period 2024-2031.

The growing trend towards responsive and mobile-first web design started momentum. The increasing number of consumers who access material through mobile devices has made picture optimization for mobile platforms important. A smooth mobile experience is boosted by image optimization, which makes sure that images load quickly and are shown as best they can be on tablets. The use of product photos, promotional banners and visual material on online retail platforms has increased dramatically as a result of the fast rise of e-commerce globally. Optimized photos are essential for increasing the exposure of products, drawing in customers and promoting conversions. E-commerce companies spend money on image optimization to increase customer happiness and sales success.

Growing product launches by the major key players help to boost global market growth over the forecast period. For instance, on May 23, 2022, Hitachi launched Lumada Inspection Insights and strengthened its digital and green portfolio. The companies end to end-to-end portfolio of digital solutions for the monitoring, inspection and optimization of critical assets. Lumada Inspection Insights, developed by Hitachi Energy and Hitachi Vantara, uses powerful artificial intelligence (AI) to analyze photos and videos, including LiDAR, thermal and satellite imagery. The allows customers to automate asset inspection, support sustainability goals, improve physical security and lower risks and impacts related to storms or fires.

North America is the dominating region in the market due to the rapid growth in the region's E-Commerce sector. Growing product launches by major key players help to boost market growth over the forecast period. For instance, on 03, January 2023, Sony Electronics launched the 2023 BRAVIA XR, a TV lineup in 5 different models such as X95L and X93L Mini LED, X90L Full Array LED, A95L QD-OLED and A80L OLED. For consumers looking for an even more immersive sound experience, each model also works with Sony soundbars to offer 360 Spatial Sound Mapping3 which generates phantom speakers and sound field optimization.

Dynamics

Rapid Growth of Digital Content

Online image usage is rising quickly along with the exponential growth of digital content across several industries, including e-commerce, social media, digital marketing and education. The growing demand for image optimization solutions to manage and improve the performance of these pictures is a result of the growth in the development of digital material. The increasing number of content channels, including blogs, social media networks, online markets and streaming services, has made possible the ongoing creation and distribution of visual content by people and companies alike. Image optimization becomes crucial in order to ensure that these pictures load quickly, look excellent and offer a consistent user experience across all platforms and devices.

Digital shops are overflowing with product photos, marketing visuals and promotional graphics due to the expansion of e-commerce platforms and online shopping. For these pictures to draw in traffic, encourage conversions and be competitive in the e-commerce space, they must be optimized for quick loading times, excellent presentation and accessibility on mobile devices. Visuals play an important part in digital advertising campaigns, email marketing and content marketing tactics to successfully catch consumer attention and communicate messages. For the best performance and engagement metrics, infographics, banner images, ad creatives and multimedia content must all be optimized for images.

E-commerce Expansion

Product photos play an important part in e-commerce purchases made by customers. Prospective customers are more likely to be pulled in and engaged by optimized product photographs that load rapidly, are of excellent quality and offer in-depth views of the product. E-commerce systems effectively exhibit items due to image optimization, which increases sales and conversions. Mobile optimization becomes critical as more people use mobile devices for online purchasing. Ensuring that product photographs and the entire shopping experience are optimized for mobile devices, such as smartphones and tablets, is known as image optimization. On mobile platforms, this enhances user experience and raises the possibility that purchases will be finished.

E-commerce experts stated that the E-Commerce industry is expanding due to the increasing usage of mobile devices such as smartphones on a globally scale. By 2024, mobile sales are predicted to have made around 42.9% of all purchases made via e-commerce. Around 47% of US consumers reported purchasing goods through social platforms and over 84% of Chinese consumers reported shopping on social networks, the highest in the world.

Complexity and Technical Expertise

Image optimization often requires knowledge of various technical concepts such as image formats, compression algorithms, color spaces, resolution, metadata and web performance optimization strategies. Users, especially non-technical ones find it challenging to navigate these concepts and implement optimization techniques effectively. Utilizing image optimization tools and software requires familiarity with their features, settings and functionalities. Advanced image editing software or optimization platforms often come with a learning curve, making it difficult for users without technical backgrounds to leverage these tools optimally.

Choosing the right optimization techniques for different use cases and content types requires expertise. For example, understanding when to use lossy compression for maximum file size reduction or when to prioritize quality with lossless compression is complex decisions that require technical knowledge and experience. Integrating image optimization solutions into existing workflows, e-commerce platforms or development environments can be challenging for users who are not familiar with technical integration processes. Compatibility issues, API usage and customization requirements pose obstacles.

Segment Analysis

The global image optimization market is segmented based on component, deployment, enterprise size, technology, end-user and region.

Image Optimization Software Segment Accounted for Largest Market Share in the Market

Based on the component, the image optimization market is segmented into software and services.

Image optimization software offers a wide range of advanced functionalities and features like automatic image resizing, quality enhancement tools, compression algorithms, format conversion and batch processing capabilities. The features allow users to optimize images efficiently and effectively, saving time and effort. Image optimization software often offers customization options that allow users to tailor optimization settings based on specific requirements and use cases. Customizable settings for image quality, compression levels, color profiles, resolution and file formats ensure that optimized images meet desired standards and objectives.

Leading image optimization software programs include clear processes, user-friendly interfaces and optimization preset integrated right in. Due to its simplicity of use, a broad spectrum of users including web developers, designers, content providers and e-commerce specialists use it without having to possess advanced technical knowledge. Because image optimization software is scalable, users effectively handle a high volume of photos. Image optimization software manages different workloads and scale resources as needed, guaranteeing continuous performance and dependability, whether it is optimizing a small number of photos for a website or managing a large image library for an e-commerce platform.

Geographical Penetration

North America is Dominating the Image Optimization Market

Driving among nations in digital transformation across industries is North America. Online platforms, digital marketing strategies and digital technology are all being used by businesses at an increasing rate. The need for image optimization solutions to improve digital content quality, performance and user experience has increased as a result of this development. Major companies in the region's growing e-commerce market include Amazon, Walmart and several other online stores. The necessity for high-quality photos for websites and marketing materials has increased due to the expansion of e-commerce. To increase load speeds, visual attractiveness and conversion rates in the e-commerce industry, image optimization technologies and services are crucial.

Businesses participate substantially in online advertising campaigns across search engines, social media platforms and display networks in North America, which has a sizable digital advertising industry. Effective digital ad campaigns depend on optimized pictures to increase engagement, clicks and conversions. Image optimization solutions are becoming more and more in demand as digital ad expenditure continues rising. Film studios, streaming services, game companies and digital media publishers are all part of the booming media and entertainment sector in the area. To provide audiences with clear, sharp and quickly loaded images and graphics, image optimization solutions are becoming increasingly popular in these industries where high-quality visuals are crucial.

Competitive Landscape

The major global players in the market include TinyIMG, Nekkra UG, ShortPixel, Piio, ImageKit.io, imgix, Cloudinary, Imagify, Gumlet and Scaleflex.

COVID-19 Impact Analysis

Activity on the internet increased throughout the epidemic as more individuals resorted to digital platforms for communication, employment, education and entertainment. To improve the quality and functionality of graphics on websites, social networking platforms and digital content, this increased demand for image optimization solutions. Lockdowns and other social distancing strategies led to a noticeable spike in e-commerce sales. The demand for image optimization tools increased as a result of businesses increasingly on high-quality photographs to successfully promote their items online. The technologies ensured rapid loading times, ideal resolution and an enhanced user experience.

Many organizations shifted to remote work setups, relying on virtual meetings, webinars and collaborative platforms. Image optimization became essential for video conferencing tools and online collaboration platforms to deliver clear and visually appealing content to remote clients. As traditional marketing channels were limited, businesses ramped up their digital marketing efforts, including social media campaigns and content marketing. Image optimization played a crucial role in optimizing visuals for digital marketing channels, improving engagement and overall campaign performance.

Russia-Ukraine War Impact Analysis

Supply chains were disrupted by the conflicts, particularly if major participants in the image optimization sector depended on parts, technology or personnel from conflict-affected areas. Companies in the image optimization industry see higher expenses as a result of supply chain interruptions or modifications, which might have an impact on their pricing and profitability. Geopolitical tensions generate uncertainty in international markets, which makes firms more cautious when implementing new technologies or services, such as image optimization solutions and cause them to postpone investments and spend carefully.

Major key players reassess their operations and partnerships in regions directly affected by the conflict, potentially leading to shifts in market dynamics and competition. In response to geopolitical events and market changes, companies in the image optimization market prioritize certain areas of technology development, such as cybersecurity, data protection or alternative sourcing strategies, to mitigate risks and adapt to the evolving landscape. Geopolitical tensions can also lead to changes in regulatory environments, trade policies or data protection laws, which impact how companies operate and offer image optimization solutions globally.

By Component

  • Software
  • Services

By Deployment

  • Cloud-Based
  • On-Premises

By Enterprise Size

  • Small and Medium Enterprises
  • Large Enterprises

By Technology

  • Machine Learning-Based Optimization
  • AI-Powered Optimization
  • Manual Optimization

By End-User

  • E-commerce and Retail
  • Media and Entertainment
  • Travel and Hospitality
  • Healthcare and Life Sciences
  • Education
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • Rest of Europe
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa

Key Developments

  • On March 13, 2024, Cloudinary, a video and image technology platform announced a series of new intelligent image optimization capabilities such as Automatic Crop (c_auto). The company also launched its latest generative AI innovation which helps to improve image quality and produces professional-looking results, as well as Enhanced Downscaling.
  • On November 09, 2021, Edgemesh added image optimization upgrade to accelerate e-commerce sites for the holiday shopping season. To support E-Commerce customer the company upgraded includes automatic optimization of every image on customer sites, helping to eliminate a laborious and expensive development task.
  • On March 08, 2024, ImageEngine launched a developer program, opening the value of image-optimizing CDNS to developers and small businesses. It is free alternative to its flagship service. As long as consumption remains under 10GB of monthly bandwidth, this new tier will give developers, startups and small enterprises free access to cutting-edge picture optimization technologies.

Why Purchase the Report?

  • To visualize the global image optimization market segmentation based on component, deployment, enterprise size, technology, end-user and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of image optimization market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as excel consisting of key products of all the major players.

The global image optimization market report would provide approximately 78 tables, 72 figures and 180 Pages.

Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1.Methodology and Scope

  • 1.1.Research Methodology
  • 1.2.Research Objective and Scope of the Report

2.Definition and Overview

3.Executive Summary

  • 3.1.Snippet by Component
  • 3.2.Snippet by Deployment
  • 3.3.Snippet by Enterprise Size
  • 3.4.Snippet by Technology
  • 3.5.Snippet by End-User
  • 3.6.Snippet by Region

4.Dynamics

  • 4.1.Impacting Factors
    • 4.1.1.Drivers
      • 4.1.1.1.Rapid Growth of Digital Content
      • 4.1.1.2.E-commerce Expansion
    • 4.1.2.Restraints
      • 4.1.2.1.Complexity and Technical Expertise
    • 4.1.3.Opportunity
    • 4.1.4.Impact Analysis

5.Industry Analysis

  • 5.1.Porter's Five Force Analysis
  • 5.2.Supply Chain Analysis
  • 5.3.Pricing Analysis
  • 5.4.Regulatory Analysis
  • 5.5.Russia-Ukraine War Impact Analysis
  • 5.6.DMI Opinion

6.COVID-19 Analysis

  • 6.1.Analysis of COVID-19
    • 6.1.1.Scenario Before COVID-19
    • 6.1.2.Scenario During COVID-19
    • 6.1.3.Scenario Post COVID-19
  • 6.2.Pricing Dynamics Amid COVID-19
  • 6.3.Demand-Supply Spectrum
  • 6.4.Government Initiatives Related to the Market During Pandemic
  • 6.5.Manufacturers Strategic Initiatives
  • 6.6.Conclusion

7.By Component

  • 7.1.Introduction
    • 7.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 7.1.2.Market Attractiveness Index, By Component
  • 7.2.Software*
    • 7.2.1.Introduction
    • 7.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3.Services

8.By Deployment

  • 8.1.Introduction
    • 8.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 8.1.2.Market Attractiveness Index, By Deployment
  • 8.2.Cloud-Based*
    • 8.2.1.Introduction
    • 8.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3.On-Premises

9.By Enterprise Size

  • 9.1.Introduction
    • 9.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 9.1.2.Market Attractiveness Index, By Enterprise Size
  • 9.2.Small and Medium Enterprises*
    • 9.2.1.Introduction
    • 9.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3.Large Enterprises

10.By Technology

  • 10.1.Introduction
    • 10.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 10.1.2.Market Attractiveness Index, By Technology
  • 10.2.Machine Learning-Based Optimization*
    • 10.2.1.Introduction
    • 10.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3.AI-Powered Optimization
  • 10.4.Manual Optimization

11.By End-User

  • 11.1.Introduction
    • 11.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.1.2.Market Attractiveness Index, By End-User
  • 11.2.E-commerce and Retail*
    • 11.2.1.Introduction
    • 11.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3.Media and Entertainment
  • 11.4.Travel and Hospitality
  • 11.5.Healthcare and Life Sciences
  • 11.6.Education
  • 11.7.Others

12.By Region

  • 12.1.Introduction
    • 12.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 12.1.2.Market Attractiveness Index, By Region
  • 12.2.North America
    • 12.2.1.Introduction
    • 12.2.2.Key Region-Specific Dynamics
    • 12.2.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.2.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 12.2.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.2.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 12.2.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.2.7.1.U.S.
      • 12.2.7.2.Canada
      • 12.2.7.3.Mexico
  • 12.3.Europe
    • 12.3.1.Introduction
    • 12.3.2.Key Region-Specific Dynamics
    • 12.3.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.3.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 12.3.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.3.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.3.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.3.8.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.3.8.1.Germany
      • 12.3.8.2.UK
      • 12.3.8.3.France
      • 12.3.8.4.Italy
      • 12.3.8.5.Spain
      • 12.3.8.6.Rest of Europe
  • 12.4.South America
    • 12.4.1.Introduction
    • 12.4.2.Key Region-Specific Dynamics
    • 12.4.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.4.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 12.4.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.4.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.4.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.4.8.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.4.8.1.Brazil
      • 12.4.8.2.Argentina
      • 12.4.8.3.Rest of South America
  • 12.5.Asia-Pacific
    • 12.5.1.Introduction
    • 12.5.2.Key Region-Specific Dynamics
    • 12.5.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.5.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 12.5.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.5.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.5.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.5.8.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 12.5.8.1.China
      • 12.5.8.2.India
      • 12.5.8.3.Japan
      • 12.5.8.4.Australia
      • 12.5.8.5.Rest of Asia-Pacific
  • 12.6.Middle East and Africa
    • 12.6.1.Introduction
    • 12.6.2.Key Region-Specific Dynamics
    • 12.6.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 12.6.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 12.6.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
    • 12.6.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 12.6.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13.Competitive Landscape

  • 13.1.Competitive Scenario
  • 13.2.Market Positioning/Share Analysis
  • 13.3.Mergers and Acquisitions Analysis

14.Company Profiles

  • 14.1.TinyIMG*
    • 14.1.1.Company Overview
    • 14.1.2.Product Portfolio and Description
    • 14.1.3.Financial Overview
    • 14.1.4.Key Developments
  • 14.2.Nekkra UG
  • 14.3.ShortPixel
  • 14.4.Piio
  • 14.5.ImageKit.io
  • 14.6.imgix
  • 14.7.Cloudinary
  • 14.8.Imagify
  • 14.9.Gumlet
  • 14.10.Scaleflex

LIST NOT EXHAUSTIVE

15.Appendix

  • 15.1.About Us and Services
  • 15.2.Contact Us