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1474064

全球影像最佳化市場 - 2024-2031

Global Image Optimization Market - 2024-2031

出版日期: 2024年05月02日 | 出版商:

DataM Intelligence | 英文 180 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

概述

全球影像最佳化市場在 2023 年達到 1.532 億美元，預計到 2031 年將達到 2.387 億美元，2024-2031 年預測期間複合年成長率為 5.7%。

響應式和行動優先網頁設計的成長趨勢開始勢頭強勁。透過行動裝置存取資料的消費者數量不斷增加，行動平台的圖片最佳化變得非常重要。影像最佳化可提升流暢的行動體驗，確保影像快速載入並在平板電腦上以最佳效果顯示。由於全球電子商務的快速崛起，線上零售平台上產品照片、促銷橫幅和視覺資料的使用急劇增加。最佳化照片對於增加產品曝光、吸引顧客、促進轉換至關重要。電子商務公司花錢進行形象最佳化，以提高客戶滿意度和銷售成功率。

主要參與者不斷推出的產品有助於推動預測期內全球市場的成長。例如，2022 年 5 月 23 日，日立推出了 Lumada Inspection Insights，並加強了其數位和綠色產品組合。兩家公司提供端到端的數位解決方案組合，用於關鍵資產的監控、檢查和最佳化。 Lumada Inspection Insights 由 Hitachi Energy 和 Hitachi Vantara 開發，使用強大的人工智慧 (AI) 來分析照片和影片，包括雷射雷達、熱圖像和衛星圖像。客戶可以自動化資產檢查，支援永續發展目標，提高實體安全性並降低與風暴或火災相關的風險和影響。

由於該地區電子商務行業的快速成長，北美成為市場的主導地區。主要關鍵參與者不斷推出的產品有助於推動預測期內的市場成長。例如，2023年1月3日，Sony電子推出了2023款BRAVIA XR，這是一個有5種不同型號的電視陣容，例如X95L和X93L Mini LED、X90L全陣列LED、A95L QD-OLED和A80L OLED。對於尋求更身臨其境的聲音體驗的消費者來說，每個型號還與索尼條形音箱配合使用，提供 360 度空間聲音映射3，生成幻象揚聲器和聲場最佳化。

動力學

數位內容的快速成長

隨著電子商務、社交媒體、數位行銷和教育等多個行業的數位內容呈指數級成長，線上圖像的使用量正在迅速成長。由於數位材料發展的成長，對用於管理和提高這些圖片性能的影像最佳化解決方案的需求不斷成長。內容管道的數量不斷增加，包括部落格、社交媒體網路、線上市場和串流媒體服務，使得個人和公司不斷創建和分發視覺內容成為可能。為了確保這些圖片快速加載、看起來出色並在所有平台和設備上提供一致的用戶體驗，圖像最佳化變得至關重要。

由於電子商務平台和線上購物的擴張，數位商店中充斥著產品照片、行銷視覺效果和促銷圖形。為了讓這些圖片吸引流量、鼓勵轉換並在電子商務領域具有競爭力，必須對其進行最佳化，以實現快速加載時間、出色的呈現效果和行動裝置上的可訪問性。視覺效果在數位廣告活動、電子郵件行銷和內容行銷策略中發揮重要作用，以成功吸引消費者的注意力並傳達訊息。為了獲得最佳效能和參與度指標，資訊圖表、橫幅圖像、廣告創意和多媒體內容都必須針對圖像進行最佳化。

電子商務擴張

產品照片在客戶的電子商務購買中發揮著重要作用。潛在客戶更有可能被最佳化後的產品照片所吸引和參與，這些照片加載速度快、品質優異並提供產品的深入視圖。由於影像最佳化，電子商務系統可以有效地展示商品，從而提高銷售額和轉換率。隨著越來越多的人使用行動裝置進行線上購物，行動最佳化變得至關重要。確保產品照片和整個購物體驗針對智慧型手機和平板電腦等行動裝置進行最佳化，稱為影像最佳化。在行動平台上，這增強了用戶體驗並提高了完成購買的可能性。

電子商務專家表示，由於全球智慧型手機等行動裝置的使用不斷增加，電子商務產業正在不斷擴大。到 2024 年，預計行動銷售將佔電子商務總購買量的 42.9% 左右。約 47% 的美國消費者表示透過社群平台購買商品，超過 84% 的中國消費者表示在社群網路上購物，比例位居全球第一。

複雜性和技術專長

影像最佳化通常需要了解各種技術概念，例如影像格式、壓縮演算法、色彩空間、解析度、元資料和 Web 效能最佳化策略。用戶，尤其是非技術人員發現導航這些概念並有效實施最佳化技術具有挑戰性。使用影像最佳化工具和軟體需要熟悉其特性、設定和功能。進階影像編輯軟體或最佳化平台通常具有學習曲線，使得沒有技術背景的使用者很難充分利用這些工具。

為不同的用例和內容類型選擇正確的最佳化技術需要專業知識。例如，了解何時使用有損壓縮來最大程度地減少檔案大小，或何時使用無損壓縮優先考慮品質是複雜的決策，需要技術知識和經驗。對於不熟悉技術整合流程的使用者來說，將影像最佳化解決方案整合到現有工作流程、電子商務平台或開發環境中可能具有挑戰性。相容性問題、API 使用和客製化要求構成了障礙。

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

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